A fresh-cut flower storage and transportation preservation method combining microbial inhibition and antioxidant effect

Abstract

This invention discloses a method for storing and preserving fresh-cut flowers that combines microbial inhibition and antioxidant effects. It relates to the field of post-harvest processing of agricultural products and storage and preservation of horticultural products. The method uses fresh-cut flowers from the same harvest batch as the object, collecting data on pre-harvest rainfall, field air humidity, post-harvest waiting time, the level of mucus at the base of the flower stem, short-term turbidity, browning at the cut surface, initial water absorption, and vascular blockage. These data are then processed using nonlinear normalization to obtain normalized scenario quantities. Based on these normalized scenario quantities, the microbial potential axis, oxidation potential axis, and vascular stagnation axis are calculated to construct a microbial-oxygen entanglement spectrum. An evaluation curve is generated based on the microbial-oxygen entanglement spectrum and compared with the preservation prototype curve to obtain a preservation effect offset map. A microbial-oxygen dual-coexistence code is then generated to determine the structure of the aqueous preservation solution, treatment sequence, release rhythm, and packaging gas-phase auxiliary amount. Finally, storage and preservation treatment is performed based on the microbial-oxygen dual-coexistence code, and a closed-loop verification quantity is constructed.

Description

Technical Field

[0001] This invention relates to the field of post-harvest processing of agricultural products and storage and preservation technology of horticultural products, specifically a method for storage and preservation of cut flowers that combines microbial inhibition and antioxidant effects. Background Technology

[0002] Current methods for storing and transporting cut flowers typically employ fixed preservative solutions, fixed soaking times, or uniform packaging, making it difficult to differentiate the initial microbial load, cut surface oxidation levels, and vascular blockage tendencies between different harvest batches. Batches harvested after rain, in areas with high field humidity, with longer post-harvest waiting times, or with pre-existing mucus at the base of the flower stem often require more antibacterial and anti-film treatments; while batches with significant cut surface browning and reduced initial water absorption require prior antioxidant rehydration treatment. If the same formula and treatment sequence are used, high-risk batches are prone to insufficient antibacterial activity, vascular stagnation, and continued cut surface browning, while low-risk batches may be subjected to excessively strong treatment stimuli, leading to petal dehydration, stem base softening, or a shortened vase life.

[0003] The aforementioned shortcomings mainly stem from the fact that current treatments often rely on single-indicator judgments or experience-based formulation, failing to transform pre-harvest environmental disturbances, post-harvest waiting states, and the immediate condition of the flower stem base into intermediate results that can be used in prescription generation. If cut flowers already exhibit a combination of microbial colonization, cut surface oxidation, and vascular stagnation before storage and transportation, subsequent refrigeration, handling, and high-humidity packaging environments will make abnormal phenomena such as turbidity of the base leachate, obstruction of water absorption channels, flower stem bending, browning of petal edges, and uneven opening more likely to occur. Therefore, it is necessary to establish a method that uses batch-specific scenarios as input and generates treatment strategies step-by-step through bacterial-oxygen entanglement spectra, preservation effect offset maps, and bacterial-oxygen dual-coexistence codes, enabling the preservation solution formulation, treatment sequence, and packaging vapor-phase antibacterial properties to be adjusted synchronously with the batch status. Summary of the Invention

[0004] To address the shortcomings of existing technologies, this invention provides a method for storing, transporting, and preserving fresh-cut flowers that combines microbial inhibition and antioxidant effects, thus solving the problems mentioned in the background art.

[0005] To achieve the above objectives, the present invention provides the following technical solution: a method for storing, transporting, and preserving fresh-cut flowers that combines microbial inhibition and antioxidant effects, comprising the following steps:

[0006] S1. Before the fresh-cut flowers enter the storage and preservation process, the original scene quantity A of the same harvested batch of fresh-cut flowers is collected and non-linear normalization is performed to obtain the normalized scene quantity GA.

[0007] S2. Based on the normalized scene quantity GA, calculate and obtain the microbial potential axis Xm, oxidation potential axis Xo and vascular stagnation axis Xd, and calculate and obtain the bacterial oxygen entanglement spectrum B.

[0008] S3. Generate the curve GB(θ) to be evaluated based on the bacterial oxygen entanglement spectrum B, and calculate the curve deviation Sj. Generate the preservation effect offset map YB according to the order of the curve deviation Sj.

[0009] S4. Based on the bacterial-oxygen entanglement spectrum B and the preservation effect offset map YB, generate the bacterial-oxygen dual interaction code C.

[0010] S5. Based on the bacterial-oxygen dual-coexistence code C, fresh-cut flowers are stored and transported for preservation, and a closed-loop verification quantity Zc is constructed.

[0011] Preferably, S1 includes S11 and S12;

[0012] S11. Before the fresh cut flowers enter the storage and transportation preservation process, fresh cut flowers with the same harvest time, the same flower variety, the same harvest plot or the same supply batch number are classified as a harvest batch, and the original scene quantity A of the harvest batch is collected.

[0013] The original scene quantity A includes the rainfall status before harvest a1, field air humidity a2, post-harvest waiting time a3, the mucus level at the base of the flower stem a4, the clear water short soaking turbidity status at the base of the flower stem a5, the initial browning status of the cut a6, the initial water absorption per unit time a7, and the easy blockage attribute of the flower material vascular bundle a8.

[0014] Among them, the pre-harvest rainfall status (a1), field air humidity (a2), and post-harvest waiting time (a3) ​​are used to characterize the external environmental disturbances experienced by this batch during the pre-harvest and post-harvest waiting stages; the base mucus grade (a4), the base turbidity state after short soaking in clear water (a5), the initial browning state of the cut surface (a6), and the initial water absorption per unit time (a7) are used to characterize the immediate state of the cut surface and base of the flower stem; and the vascular clogging attribute (a8) is used to characterize the inherent tendency of the flower variety itself to vascular clogging.

[0015] During the specific collection process, a1 can be assigned a value based on whether there was rainfall, the duration of rainfall, or the field's moisture level within a set time period before harvesting; a2 can be based on the recorded field air humidity at the time of harvesting; a3 is the waiting time between harvesting and cutting and entering the preservation process; a4 can be assigned a value based on the feel of the flower stem base, the state of the mucus film, or the stringy state; a5 can be obtained by briefly immersing the bases of the same number and length of flower stems in the same volume of clean water and observing the turbidity of the soaking solution; a6 can be obtained by recording the depth of the cut color, the area of ​​browning, or the color difference; a7 can be obtained by the water absorption volume of a single or several flower stems per unit time; a8 can be assigned a value based on a pre-established table of vascular clogging attributes for the flower variety.

[0016] After the original scene quantity A is collected, the data inside the original scene quantity A is arranged according to the external disturbance information and the real-time status information of the flower stem to form the post-collection disturbance matrix AX;

[0017] ;

[0018] S12. Using the post-harvest perturbation matrix AX as input, perform benchmarking processing on each original scene quantity for the same type of flower material. For the i-th original scene quantity ai, call the scene benchmark quantity pai in the historical storage and transportation records of the same type of flower material, and calculate the normalized scene quantity ga according to the following formula:

[0019] ;

[0020] In the formula, i = 1, 2, ..., 8; pai is the historical scene baseline quantity of the same type of flower materials under the same or similar storage and transportation conditions, and gai is the normalized i-th original scene quantity;

[0021] When a certain original scene quantity ai is close to its corresponding scene baseline quantity pai, ai is in the intermediate response zone;

[0022] When ai is higher than pai, the logarithmic term in the formula is compressed to prevent a single abnormal scenario quantity from directly dominating subsequent calculations.

[0023] When ai is lower than pai, gai still retains its relative difference, allowing low-risk batches and high-risk batches to be distinguished in the same calculation system;

[0024] After processing, a normalized scene quantity (GA) is generated:

[0025] ;

[0026] In the formula, ga1 represents the normalized result corresponding to the rainfall state before harvest, ga2 represents the normalized result corresponding to the field air humidity, ga3 represents the normalized result corresponding to the post-harvest waiting time, ga4 represents the normalized result corresponding to the mucus level at the base of the flower stem, ga5 represents the normalized result corresponding to the turbid state after short soaking in clear water, ga6 represents the normalized result corresponding to the initial browning state of the cut, ga7 represents the normalized result corresponding to the initial water absorption per unit time, and ga8 represents the normalized result corresponding to the easy blockage attribute of the flower material's vascular bundles.

[0027] Preferably, S2 includes S21 and S22;

[0028] S21. Based on the data within the normalized scene quantity GA, calculate and obtain the microbial potential axis Xm, oxidation potential axis Xo, and vascular stagnation axis Xd. The formulas are as follows.

[0029] ;

[0030] ;

[0031] .

[0032] The formula uses a product radical instead of simple addition; its processing logic is as follows: when multiple normalized scenario quantities involved in a certain type of freshness loss path are simultaneously in a high state, the corresponding potential axis will show a strong response; when only a single normalized scenario quantity is high, the radical structure will reduce the dominance of a single disturbance on the overall judgment. For (2-ga7) in Xd, it means that the lower the initial water absorption per unit time, the stronger the tendency for stagnant flow in the duct, allowing insufficient water absorption to directly participate in the generation of the stagnant flow axis in the duct.

[0033] Preferably, S22, based on the microbial potential axis Xm, the oxidation potential axis Xo, and the vascular stagnation axis Xd, a bacterial oxygen entanglement spectrum B = (B1, B2, B3) is constructed.

[0034] In the formula, B1 represents the dominant phase angle of bacterial oxygenation, B2 represents the degree of bacterial oxygenation vascular entanglement, and B3 represents the direction of the path of freshness loss.

[0035] The dominant phase angle B1 of bacterial oxygenation is obtained using the following formula:

[0036] ;

[0037] In the formula, arctan represents the arcsine function, and md represents the smallest positive number to prevent the denominator from being zero; its value is 0.01.

[0038] If the dominant phase angle B1 of bacterial-oxygen interaction is small, it indicates that the batch is more likely to be occupied by microorganisms; if the dominant phase angle B1 of bacterial-oxygen interaction is large, it indicates that oxidation reaction and vascular stagnation are more involved in the freshness loss path.

[0039] The degree of duct winding B2 is obtained using the following formula:

[0040] ;

[0041] In the formula, ln represents the logarithmic function;

[0042] A large value for the bacterial oxygen duct entanglement degree B2 indicates that microbial proliferation, incision oxidation, and duct stagnation are not isolated events, but are interconnected. When only one potential axis is high, the difference in the denominator becomes larger, and the value of the bacterial oxygen duct entanglement degree B2 will be lowered.

[0043] The direction of the freshness loss path, B3, is obtained using the following formula:

[0044] .

[0045] If the freshness loss path spirals towards B3 > 0, it indicates that this batch is more likely to follow a path where microorganisms occupy the site first, followed by oxidation and vascular stagnation. If the freshness loss path spirals towards B3 < 0, it indicates that this batch is more likely to follow a path where oxidation at the cut surface occurs first, followed by microorganisms occupying the site. If the freshness loss path spirals towards B3 and is close to the neutral zone, it indicates that vascular stagnation may be the main problem for this batch, and further attention should be paid to anti-film formation and rehydration rhythm.

[0046] Preferably, S3 includes S31 and S32;

[0047] S31. Based on the bacterial oxygen entanglement spectrum B, calculate and obtain the curve GB(θ) to be evaluated, using the following formula:

[0048] GB(θ)=1+B2cos(θ-B1)+B3sin(2θ);

[0049] In the formula, θ represents the phase variable of bacterial oxygenation, with a value range of 0 ≤ θ ≤ 2π, cos represents the cosine function, and sin represents the sine function;

[0050] Based on the curve GB(θ) to be evaluated, four types of preservation prototype curves were established, including conventional preservation curve G1(θ), high humidity antibacterial curve G2(θ), long waiting time antioxidant curve G3(θ), and duct anti-film formation curve G4(θ).

[0051] Conventional preservation curve G1(θ): Select historical batches of the same variety that were harvested without rain, with normal field humidity, short post-harvest waiting time, no obvious mucus at the base of the flower stem, clear short-term water soaking liquid, light browning at the cut surface, and normal initial water absorption. For this type of batch, calculate the corresponding microbial potential axis Xm, oxidation potential axis Xo, and vascular stagnation axis Xd according to S1 and S2, and take the center value to generate conventional preservation prototype parameters, which are then substituted into the curve formula to be evaluated.

[0052] High humidity antibacterial curve G2(θ): Select historical batches of the same variety that were harvested after rain, with high field humidity, turbid short soaking liquid at the base of the flower stem, but whose initial water absorption has not yet decreased significantly; calculate the corresponding microbial potential axis Xm, oxidation potential axis Xo and vascular stagnation axis Xd for this type of batch according to S1 and S2, and take the center value to generate high humidity antibacterial prototype parameters, and substitute them into the curve formula to be evaluated;

[0053] Long-waiting antioxidant curve G3(θ): Select historical batches of the same variety with long post-harvest waiting time, severe browning of the cut surface, slight decrease in initial water absorption, but no prominent mucus at the base of the flower stem; calculate the corresponding microbial potential axis Xm, oxidation potential axis Xo and vascular stagnation axis Xd for this type of batch according to S1 and S2, and take their center values ​​to generate long-waiting antioxidant prototype parameters, which are then substituted into the curve formula to be evaluated.

[0054] The anti-film formation curve G4(θ) of the vascular bundles is obtained by selecting historical batches of the same variety that exhibit strong mucus at the base of the flower stem, turbidity in the short-saturated water solution, low initial water absorption, and a high tendency for the vascular bundles to become clogged. For this type of batch, the corresponding microbial potential axis Xm, oxidation potential axis Xo, and vascular stagnation axis Xd are calculated according to S1 and S2. The center value is then used to generate the prototype parameters of the anti-film formation of the vascular bundles, which are then substituted into the formula of the curve to be evaluated.

[0055] Preferably, in step S32, using the curve to be evaluated GB(θ) and the four types of preservation prototype curves as input, first calculate the differential of the oxygen-dependent phase variable θ of each bacteria: dGj(θ) = Gj′(θ)dθ;

[0056] Wherein, Gj′(θ) = -B2jsin(θ-B1j) + 2×B3jcos(2θ);

[0057] In the formula, j represents the preservation prototype curve number, j=1, 2, 3, 4, which correspond to the four types of curves: conventional preservation, high humidity antibacterial, long waiting time for anti-oxidation, and duct anti-film formation, respectively. d represents the differential symbol. Gj(θ) represents the curve value of the j-th type of preservation prototype curve under the phase variable θ of bacterial oxygen action. Gj′(θ) represents the first derivative of Gj(θ) with respect to (θ). B2j represents the bacterial oxygen duct winding degree of the j-th type of preservation prototype. B1j represents the dominant phase angle of bacterial oxygen action of the j-th type of preservation prototype. B3j represents the direction of the freshness loss path of the j-th type of preservation prototype.

[0058] The deviation Sj of the curve is obtained by calculating the difference in the closed area between the curve to be evaluated and each prototype curve, as shown in the following formula:

[0059] ;

[0060] Generate a preservation effect offset map YB according to the size order of Sn1, Sn2, Sn3 and Sn4;

[0061] In the formula, Sn1 represents the deviation amount of conventional preservation, Sn2 represents the deviation amount of high humidity antibacterial, Sn3 represents the deviation amount of long waiting time for antioxidant, and Sn4 represents the deviation amount of duct anti-membrane formation.

[0062] Among them, the deviation of the curves ranked higher corresponds to the preservation direction that is closer to the current batch;

[0063] If the deviation amount Sn1 from the standard preservation method is ranked higher, then the current batch is biased towards the standard preservation path.

[0064] If the high humidity antibacterial deviation Sn2 is ranked higher, then the current batch is biased towards the high humidity antibacterial pathway, and subsequent prescription codes should give priority to aqueous phase antibacterial and packaging vapor phase antibacterial.

[0065] If the Sn3 deviation from the long-waiting antioxidant treatment is ranked higher, then the current batch is biased towards the long-waiting antioxidant treatment path, and antioxidant rehydration treatment should be given priority in subsequent prescription codes.

[0066] If the catheter anti-membrane deviation Sn4 ranks high, then the current batch is biased towards the catheter anti-membrane path, and quorum sensing interference and catheter anti-membrane treatment should be given priority in subsequent prescription codes;

[0067] Preferably, S4 includes S41 and S42;

[0068] S41. Based on the bacterial oxygen entanglement spectrum B, calculate and obtain the structure code Lc of the aqueous preservative solution. The structure code Lc of the aqueous preservative solution consists of the amount of aqueous microbial inhibition component CU, the amount of antioxidant rehydration component CA, and the amount of vascular anti-film formation component CN.

[0069] The formulas for obtaining the dosages of aqueous phase microbial inhibition component (CU), antioxidant rehydration component (CA), and vascular anti-film formation component (CN) are as follows:

[0070] ;

[0071] ;

[0072] ;

[0073] In the formula, Uo represents the baseline dosage of the aqueous phase microbial inhibition component, Ao represents the baseline dosage of the antioxidant rehydration component, No represents the baseline dosage of the vascular anti-film formation component, min represents the minimum value, max represents the maximum value, and tanh represents the hyperbolic tangent function.

[0074] Based on Sn2, Sn3, and Sn4 in the preservation effect offset diagram YB, the progressive processing timing code Tc is obtained, as shown in the following formula:

[0075] ;

[0076] In the formula, PU represents antibacterial pretreatment, PA represents antioxidant rehydration treatment, PN represents catheter anti-membrane treatment, and ex represents a very small positive number to prevent the denominator from being zero, with a value of 0.01.

[0077] Preferably, in step S42, the release rhythm code Rc is calculated based on the dosage of aqueous microbial inhibitory component CU, antioxidant rehydration component CA, and duct anti-film formation component CN.

[0078] The release rhythm code Rc is obtained using the following formula:

[0079] ;

[0080] In the formula, t represents the storage and transportation treatment time, Rc(t) represents the release rhythm code at the storage and transportation time t, ku represents the aqueous phase antibacterial release coefficient, with a value range of 0 to 1, ka represents the antioxidant rehydration release coefficient, with a value range of 0 to 1, and Tn represents the catheter anti-membrane continuous effect coefficient, with a value range of 0 to 1.

[0081] Based on the high humidity antibacterial deviation Sn2, the bacterial oxygen conduit winding degree B2, and the freshness loss path rotation direction B3, the packaging vapor phase auxiliary code Vc is generated, as follows:

[0082] ;

[0083] In the formula, Go represents the baseline loading of the plant-derived volatile antibacterial component, 1Q represents the indicator function; Sn2 is 1 when it is the minimum among Sn1, Sn2, Sn3, and Sn4, otherwise it is 0; minSj represents the minimum value among the four curve deviations.

[0084] By summarizing the phase preservation liquid structure code Lc, progressive processing sequence code Tc, release rhythm code Rc, and packaging gas phase auxiliary code Vc, the bacterial-oxygen dual interaction code C is obtained.

[0085] Preferably, S5 includes S51 and S52;

[0086] S51. Based on the bacterial-oxygen dual-coexistence code C, and according to the aqueous preservative liquid structure code Lc, determine the addition amounts of aqueous microbial inhibition components, antioxidant rehydration components, and vascular anti-film formation components, and formulate antibacterial treatment units, antioxidant rehydration treatment units, and vascular anti-film formation treatment units accordingly.

[0087] According to the order of antibacterial pretreatment PU, antioxidant rehydration treatment PA and vascular anti-film treatment PN determined by the progressive treatment sequence code Tc, the base of the flower stem is subjected to antibacterial pretreatment, antioxidant rehydration treatment and vascular anti-film treatment in sequence.

[0088] When the sequential processing timing code Tc indicates that the antibacterial pretreatment PU is in the preceding sequence, priority is given to treating free contaminants and initial microbial occupancy at the base of the flower stem;

[0089] When the sequential processing timing code Tc indicates that the antioxidant rehydration treatment PA is in the preceding sequence, the cut browning and rehydration stress are treated first.

[0090] When the sequential processing timing code Tc indicates that the catheter anti-membrane treatment PN is in the preceding sequence, the tendency of membrane adhesion in the catheter is preferentially treated.

[0091] During the treatment process, the action rhythm indicated by the release rhythm code Rc is followed so that the aqueous antibacterial component corresponds to the pre-storage and transportation stage, the antioxidant rehydration component corresponds to the incision rehydration process, and the catheter anti-film formation component corresponds to the continuous occupancy process inside the catheter.

[0092] After the aqueous phase treatment is completed, the plant-derived volatile antibacterial components are loaded onto ordinary packaging paper pads or absorbent pads according to the packaging gas phase auxiliary code Vc, and then packaged and transported together with the water-treated cut flowers, so that the aqueous phase treatment at the base of the flower stem and the gas phase antibacterial treatment in the packaging space correspond to the same bacteria-oxygen dual-coexistence code C.

[0093] Preferably, in step S52, taking the batch of fresh cut flowers after water phase treatment as the object, during the observation period, the initial water absorption Qc after rehydration, the amount of color difference reduction at the cut Ec, and the clarity Dc of the base leachate are collected.

[0094] The initial water absorption Qc after rehydration was obtained by recording the change in liquid absorption at the base of the flower stem per unit time, and was used to characterize the rehydration state of the xylem vessels.

[0095] The reduction amount of cut color difference, Ec, is obtained by comparing the color change of the cut before and after treatment, and is used to characterize the reduction state of oxidative browning of the cut.

[0096] The clarity Dc of the base leachate was obtained by briefly immersing the treated flower stem base in an equal volume of water and observing the state of the leachate. It was used to characterize the residual state of pollutants at the base of the flower stem.

[0097] Subsequently, the initial water absorption Qc after rehydration, the reduction in cut color difference Ec, and the clarity Dc of the base leachate were arranged in the order of sampling to form a post-processing response trajectory, and a closed-loop verification quantity Zc was constructed based on this response trajectory; the closed-loop verification quantity Zc is used to reflect the cooperative direction between changes in water absorption, changes in cut color, and changes in base leachate.

[0098] The process of obtaining the closed-loop check value Zc can be written as follows:

[0099] First, the same batch of fresh-cut flowers that had undergone water-phase-gas phase combined storage and transportation preservation treatment were used as the verification object. During the set observation time, the initial water absorption after rehydration Qc, the amount of color difference reduction at the cut Ec, and the clarity of the base leachate Dc were collected sequentially. Among them, Qc reflects the rehydration status of the flower stem vascular bundles, Ec reflects the reduction status of oxidative browning at the cut, and Dc reflects the residual status of pollutants at the base of the flower stem.

[0100] Then, the initial water absorption Qc, the reduction in cut color difference Ec, and the clarity Dc of the base leachate obtained from multiple sampling time points after rehydration are arranged in chronological order to form a post-treatment response trajectory. Based on the direction of change of the initial water absorption Qc, the reduction in cut color difference Ec, and the clarity Dc of the base leachate after rehydration between adjacent sampling points, it is determined whether the changes in water absorption, cut color, and leachate clarity follow the same treatment path.

[0101] Finally, the continuous changes of the above three response quantities throughout the entire observation period are combined in a closed loop to obtain the closed loop verification quantity Zc.

[0102] When the direction of change of the closed-loop verification quantity Zc is consistent with the direction of the freshness loss path B3 in step S2, it indicates that the judgment of the freshness loss path of this batch by the bacterial oxygen entanglement spectrum B matches the response after treatment; when the two directions are inconsistent, it indicates that the actual storage and transportation response of this batch deviates from the original judgment, and the scene benchmark quantity, the four types of freshness preservation prototype curves and the release rhythm parameters are corrected in the next batch of similar flower materials.

[0103] This invention provides a method for storing, transporting, and preserving fresh-cut flowers that combines microbial inhibition and antioxidant effects, and has the following beneficial effects:

[0104] (1) Based on the bacterial-oxygen dual-coexistence code C, a combined aqueous-gas phase storage and transportation preservation treatment is performed, so that the aqueous microbial inhibition, antioxidant rehydration, and anti-film treatment of the vascular bundles at the base of the flower stem and the plant-derived volatile antibacterial treatment in the packaging space are carried out together around the same batch state; after treatment, the initial water absorption Qc after rehydration, the amount of color difference reduction at the cut Ec, and the clarity Dc of the base leachate are collected to construct a closed-loop verification quantity Zc, and compare it with the deterioration path rotation direction B3. In this way, the scene benchmark quantity, preservation prototype curve and release rhythm parameters of the next batch of similar flowers can be corrected, so that the method is not limited to one-time treatment, but forms an iterative batch adaptation mechanism, reducing abnormal phenomena such as flower stem bending, water absorption obstruction, petal browning and uneven opening caused by differences in initial microbial load, differences in cut oxidation and differences in vascular stagnation.

[0105] (2) By arranging the original scene quantity A into a postharvest perturbation matrix AX according to external perturbation information and real-time flower stem status information, data from different sources no longer enter the subsequent steps in a disordered record form, but participate in the subsequent normalization process in a fixed order. This matrix structure allows external factors such as rainfall, humidity, and waiting time to correspond with flower stem behaviors such as mucus, turbidity, browning, and water absorption to enter the same data framework, laying a unified data foundation for the subsequent generation of microbial potential axis, oxidation potential axis, and vascular stagnation axis.

[0106] (3) By constructing the bacterial-oxygen entanglement spectrum B through the dominant phase angle B1 of bacterial-oxygen action, the bacterial-oxygen vascular entanglement degree B2, and the direction of freshness loss path B3, the current batch can be judged not only as "high risk" or "low risk", but also as more likely to be dominated by microbial occupation, incision oxidation, or vascular stagnation. This result can provide a basis for subsequent prescription codes to determine whether to perform antibacterial pretreatment, antioxidant rehydration treatment, or vascular anti-film treatment first, overcoming the problem that the existing fixed treatment sequence is difficult to adapt to different batches.

[0107] (4) By releasing the rhythm code Rc, the action rhythm of the aqueous antibacterial component, the antioxidant rehydration component, and the vascular anti-film formation component during storage and transportation is arranged so that different components do not enter the preservation system all at once or indiscriminately. The aqueous antibacterial component can correspond to the base contaminants and initial microbial occupation in the early stage of storage and transportation, the antioxidant rehydration component can correspond to the process of the cut surface changing from a damaged state to a rehydrated state, and the vascular anti-film formation component can correspond to the tendency of membrane adhesion in the vascular cavity. Thus, microbial inhibition, antioxidant rehydration, and vascular anti-film formation are coordinated in time, mitigating the problem of insufficient pretreatment or disconnection of the later stage of action caused by fixed feeding. Attached Figure Description

[0108] Figure 1 This is a schematic diagram of the steps in a fresh-cut flower storage and preservation method that combines microbial inhibition and antioxidant effects according to the present invention.

[0109] Figure 2 This is a schematic diagram of the judgment logic flow of the preservation effect offset diagram of the present invention;

[0110] Figure 3 This is a schematic diagram of the logic flow for judging the progressive processing sequence code of the present invention. Detailed Implementation

[0111] The technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative effort are within the scope of protection of the present invention.

[0112] Example 1

[0113] This invention provides a method for storing, transporting, and preserving fresh-cut flowers that combines microbial inhibition and antioxidant effects. Please refer to [link / reference]. Figures 1 to 3 This includes the following steps:

[0114] S1. Before the fresh-cut flowers enter the storage and preservation process, the original scene quantity A of the same harvested batch of fresh-cut flowers is collected and non-linear normalization is performed to obtain the normalized scene quantity GA.

[0115] S2. Based on the normalized scene quantity GA, calculate and obtain the microbial potential axis Xm, oxidation potential axis Xo and vascular stagnation axis Xd, and calculate and obtain the bacterial oxygen entanglement spectrum B.

[0116] S3. Generate the curve GB(θ) to be evaluated based on the bacterial oxygen entanglement spectrum B, and calculate the curve deviation Sj. Generate the preservation effect offset map YB according to the order of the curve deviation Sj.

[0117] S4. Based on the bacterial-oxygen entanglement spectrum B and the preservation effect offset map YB, generate the bacterial-oxygen dual interaction code C.

[0118] S5. Based on the bacterial-oxygen dual-coexistence code C, fresh-cut flowers are stored and transported for preservation, and a closed-loop verification quantity Zc is constructed.

[0119] In this embodiment, the original scene quantity A of the same harvested batch is collected before storage and preservation treatment. The pre-harvest rainfall status, field air humidity, post-harvest waiting time, stem base mucus level, short-immersion turbidity, cut surface browning status, initial water absorption, and vascular clogging properties are uniformly converted into a normalized scene quantity GA. This allows the differences in pre-harvest environment, post-harvest waiting time, and stem base condition between different batches of cut flowers to be incorporated into the same treatment system. Compared to directly using a fixed preservative solution or manual judgment, this treatment quantifies batch differences before they are incorporated into the prescription, laying a data foundation for subsequent microbial inhibition, antioxidant rehydration, and vascular anti-film formation treatments.

[0120] In this embodiment, the microbial potential axis Xm, oxidation potential axis Xo, and vascular stagnation axis Xd are further generated using the normalized scene quantity GA, and a bacterial-oxygen entanglement spectrum B is constructed. This allows the risk of fresh-cut flowers losing freshness before storage and transportation to be determined no longer by a single indicator, but rather broken down into three pathways: microbial occupation, cut oxidation, and vascular stagnation. The batch state is jointly characterized by the dominant phase angle of bacterial-oxygen action, the degree of bacterial-oxygen vascular entanglement, and the direction of the freshness loss path. This can distinguish between batches with high humidity after rain, batches with browning after long waiting periods, batches prone to vascular blockage, and batches with multiple intertwined factors, solving the problem that existing methods struggle to determine whether to prioritize "bacterial inhibition, antioxidant treatment, or anti-film formation."

[0121] In this embodiment, the deviation of the evaluation curve GB(θ) from the conventional preservation curve, high-humidity antibacterial curve, long-waiting antioxidant curve, and duct anti-film formation curve is calculated, and a preservation effect offset map YB is generated, so that the current batch can be automatically matched with a more similar preservation treatment direction. This method does not simply classify cut flowers into a fixed category, but determines the treatment focus of the current batch through the difference in curve morphology. This allows the aqueous phase preservation liquid structure code, progressive treatment sequence code, release rhythm code, and packaging gas phase auxiliary code in the subsequent bacterial-oxygen dual-coexistence code C to be generated according to the batch status, solving the problem that a uniform formula cannot take into account different batches such as high humidity, long waiting time, and easy duct blockage.

[0122] Example 2

[0123] Please refer to Figure 2 Specifically: S1 includes S11 and S12;

[0124] S11. Before the fresh cut flowers enter the storage and transportation preservation process, fresh cut flowers with the same harvest time, the same flower variety, the same harvest plot or the same supply batch number are classified as a harvest batch, and the original scene quantity A of the harvest batch is collected.

[0125] The original scene quantity A includes the rainfall status before harvest a1, field air humidity a2, post-harvest waiting time a3, the mucus level at the base of the flower stem a4, the clear water short soaking turbidity status at the base of the flower stem a5, the initial browning status of the cut a6, the initial water absorption per unit time a7, and the easy blockage attribute of the flower material vascular bundle a8.

[0126] After the original scene quantity A is collected, the data inside the original scene quantity A is arranged according to the external disturbance information and the real-time status information of the flower stem to form the post-collection disturbance matrix AX;

[0127] ;

[0128] S12. Using the post-harvest perturbation matrix AX as input, perform benchmarking processing on each original scene quantity for the same type of flower material. For the i-th original scene quantity ai, call the scene benchmark quantity pai in the historical storage and transportation records of the same type of flower material, and calculate the normalized scene quantity ga according to the following formula:

[0129] ;

[0130] In the formula, i = 1, 2, ..., 8; pai is the historical scene baseline quantity of the same type of flower materials under the same storage and transportation conditions, and gai represents the normalized i-th original scene quantity;

[0131] After processing, a normalized scene quantity (GA) is generated:

[0132] ;

[0133] In the formula, ga1 represents the normalized result corresponding to the rainfall state before harvest, ga2 represents the normalized result corresponding to the field air humidity, ga3 represents the normalized result corresponding to the post-harvest waiting time, ga4 represents the normalized result corresponding to the mucus level at the base of the flower stem, ga5 represents the normalized result corresponding to the turbid state after short soaking in clear water, ga6 represents the normalized result corresponding to the initial browning state of the cut, ga7 represents the normalized result corresponding to the initial water absorption per unit time, and ga8 represents the normalized result corresponding to the easy blockage attribute of the flower material's vascular bundles.

[0134] In this embodiment, cut flowers harvested at the same time, of the same variety, from the same harvesting plot, or from the same batch number are grouped into one harvesting batch. This ensures that subsequent collection and evaluation are no longer based on individual cut flowers, but rather on batches sharing a common pre-harvest environment and post-harvest circulation status. This approach allows batch origin factors such as harvesting after rain, higher field humidity, and differences in post-harvest waiting time to be included in the same evaluation criteria, making it more suitable for batch-based, box-based, and supply batch-based operations in the actual storage and transportation of cut flowers.

[0135] The original scene data A simultaneously includes pre-harvest rainfall, field air humidity, post-harvest waiting time, the level of mucus at the base of the flower stem, the turbidity of the clear water after short soaking, the initial browning state of the cut surface, the initial water absorption per unit time, and the susceptibility of the flower's vascular bundles to blockage. This allows for the simultaneous collection of pre-harvest environmental disturbances, post-harvest waiting time, contamination at the base of the flower stem, oxidation at the cut surface, and water absorption by the vascular bundles. Compared to later-stage judgment methods that only observe petal wilting, stem bending, or vase life, this method can identify potential microbial infestation, cut surface browning, and vascular stagnation tendencies in batches before storage, transportation, and preservation treatment.

[0136] In this embodiment, by calling the historical scene benchmark quantity pai of similar floral materials under the same storage and transportation conditions, and performing nonlinear normalization processing on each original scene quantity, scene quantities with different dimensions, different value ranges, and different collection methods can be transformed into a normalized scene quantity GA. This processing can prevent a single abnormal data point from directly influencing subsequent judgments, while preserving the differences between low-risk and high-risk batches. This allows subsequent bacterial-oxygen entanglement spectrum B, preservation effect offset map YB, and bacterial-oxygen dual-coexistence code C to be generated based on data of the same scale, which is more in line with the problem raised in the background that different batches have large differences in initial microbial load, cut oxidation degree, and vascular blockage tendency.

[0137] Example 3

[0138] Please refer to Figure 3 Specifically: S2 includes S21 and S22;

[0139] S21. Based on the data within the normalized scene quantity GA, calculate and obtain the microbial potential axis Xm, oxidation potential axis Xo, and vascular stagnation axis Xd. The formulas are as follows.

[0140] ;

[0141] ;

[0142] .

[0143] S22. Based on the microbial potential axis Xm, the oxidation potential axis Xo and the vascular stagnation axis Xd, construct the bacterial oxygen entanglement spectrum B = (B1, B2, B3).

[0144] In the formula, B1 represents the dominant phase angle of bacterial oxygenation, B2 represents the degree of bacterial oxygenation vascular entanglement, and B3 represents the direction of the path of freshness loss.

[0145] The dominant phase angle B1 of bacterial oxygenation is obtained using the following formula:

[0146] ;

[0147] In the formula, arctan represents the arcsine function, and md represents the smallest positive number to prevent the denominator from being zero;

[0148] The degree of duct winding B2 is obtained using the following formula:

[0149] ;

[0150] In the formula, ln represents the logarithmic function;

[0151] The direction of the freshness loss path, B3, is obtained using the following formula:

[0152] .

[0153] S3 includes S31 and S32;

[0154] S31. Based on the bacterial oxygen entanglement spectrum B, calculate and obtain the curve GB(θ) to be evaluated, using the following formula:

[0155] GB(θ)=1+B2cos(θ-B1)+B3sin(2θ);

[0156] In the formula, θ represents the phase variable of bacterial oxygenation, with a value range of 0 ≤ θ ≤ 2π, cos represents the cosine function, and sin represents the sine function;

[0157] Based on the curve GB(θ) to be evaluated, four types of preservation prototype curves were established, including conventional preservation curve G1(θ), high humidity antibacterial curve G2(θ), long waiting time antioxidant curve G3(θ), and duct anti-film formation curve G4(θ).

[0158] Conventional preservation curve G1(θ): Select historical batches of the same variety that were harvested without rain, with normal field humidity, short post-harvest waiting time, no obvious mucus at the base of the flower stem, clear short-term water soaking liquid, light browning at the cut surface, and normal initial water absorption. For each batch, calculate the corresponding microbial potential axis Xm, oxidation potential axis Xo, and vascular stagnation axis Xd according to S1 and S2, and take the center value to generate conventional preservation prototype parameters, which are then substituted into the curve formula to be evaluated.

[0159] High humidity antibacterial curve G2(θ): Select historical batches of the same variety that were harvested after rain, with high field humidity, turbid short soaking liquid at the base of the flower stem, but whose initial water absorption has not yet decreased significantly; calculate the corresponding microbial potential axis Xm, oxidation potential axis Xo and vascular stagnation axis Xd for each batch according to S1 and S2, and take the center value to generate high humidity antibacterial prototype parameters, which are then substituted into the curve formula to be evaluated.

[0160] Long-waiting antioxidant curve G3(θ): Select historical batches of the same variety with long post-harvest waiting time, severe browning of the cut surface, slight decrease in initial water absorption, but no prominent mucus at the base of the flower stem; calculate the corresponding microbial potential axis Xm, oxidation potential axis Xo and vascular stagnation axis Xd for each batch according to S1 and S2, and take their center values ​​to generate long-waiting antioxidant prototype parameters, which are then substituted into the curve formula to be evaluated.

[0161] The anti-film formation curve G4(θ) of the vascular bundles was obtained by selecting historical batches of the same variety that exhibited strong mucus at the base of the flower stem, turbidity in the short-saturated water solution, low initial water absorption, and easy blockage of the vascular bundles. For each batch, the corresponding microbial potential axis Xm, oxidation potential axis Xo, and vascular stagnation axis Xd were calculated according to S1 and S2. The center value of these values ​​was used to generate the prototype parameters of the anti-film formation of the vascular bundles, which were then substituted into the formula of the curve to be evaluated.

[0162] S32. Using the curve to be evaluated GB(θ) and the four types of preservation prototype curves as input, first calculate the differential of the oxygen action phase variable θ of each bacteria: dGj(θ) = Gj′(θ)dθ;

[0163] Wherein, Gj′(θ) = -B2jsin(θ-B1j) + 2×B3jcos(2θ);

[0164] In the formula, j represents the preservation prototype curve number, j=1, 2, 3, 4, which correspond to the four types of curves: conventional preservation, high humidity antibacterial, long waiting time for anti-oxidation, and duct anti-film formation, respectively. d represents the differential symbol. Gj(θ) represents the curve value of the j-th type of preservation prototype curve under the phase variable θ of bacterial oxygen action. Gj′(θ) represents the first derivative of Gj(θ) with respect to (θ). B2j represents the bacterial oxygen duct winding degree of the j-th type of preservation prototype. B1j represents the dominant phase angle of bacterial oxygen action of the j-th type of preservation prototype. B3j represents the direction of the freshness loss path of the j-th type of preservation prototype.

[0165] The deviation Sj of the curve is obtained by calculating the difference in the closed area between the curve to be evaluated and each prototype curve, as shown in the following formula:

[0166] ;

[0167] Generate a preservation effect offset map YB according to the size order of Sn1, Sn2, Sn3 and Sn4;

[0168] In the formula, Sn1 represents the deviation amount of conventional preservation, Sn2 represents the deviation amount of high humidity antibacterial, Sn3 represents the deviation amount of long waiting time for antioxidant, and Sn4 represents the deviation amount of duct anti-membrane formation.

[0169] In this embodiment, after taking the normalized scenario quantity GA as input, the microbial potential axis Xm, oxidation potential axis Xo, and vascular stagnation axis Xd are first calculated. This transforms the freshness loss state of cut flower batches from the original manifestations such as rainfall, humidity, waiting time, slime, turbidity, browning, and water absorption into three freshness loss paths that can continue to participate in the calculation. This can distinguish the tendency of microbial occupation caused by high humidity, the tendency of cut surface oxidation caused by post-harvest waiting, and the tendency of vascular stagnation caused by the decrease in initial water absorption, which is more in line with the storage and transportation scenarios where different batches have significantly different initial states.

[0170] In this embodiment, the evaluation curve GB(θ) is generated based on the bacterial oxygen entanglement spectrum B, and conventional preservation curves, high humidity antibacterial curves, long-waiting antioxidant curves, and duct anti-film formation curves are established, allowing the current batch to be compared within the same curve system. Compared to relying solely on a single indicator or manual experience to select a treatment plan, this method can identify whether the current batch is closer to a conventional batch, a high humidity microbial batch, a long-waiting oxidation batch, or a batch prone to duct blockage, making the direction of subsequent preservation treatment clearer.

[0171] In this embodiment, the curve deviation Sj is calculated by the difference in closed area, and a preservation effect offset diagram YB is generated, so that the processing focus of the current batch can be determined by the curve deviation result. If the high humidity antibacterial deviation is high, the subsequent treatment will be more biased towards aqueous phase antibacterial and packaging gas phase antibacterial; if the long waiting time antioxidant deviation is high, the subsequent treatment will be more biased towards antioxidant rehydration; if the vascular anti-film formation deviation is high, the subsequent treatment will be more biased towards quorum sensing interference and vascular anti-film formation treatment. This can alleviate problems such as insufficient antibacterial effect, continued browning at the cut, water absorption obstruction, flower stem bending, and uneven petal opening caused by uniform formulation.

[0172] Example 4

[0173] Please refer to Figure 1 Specifically: S4 includes S41 and S42;

[0174] S41. Based on the bacterial oxygen entanglement spectrum B, calculate and obtain the structure code Lc of the aqueous preservative solution. The structure code Lc of the aqueous preservative solution consists of the amount of aqueous microbial inhibition component CU, the amount of antioxidant rehydration component CA, and the amount of vascular anti-film formation component CN.

[0175] The formulas for obtaining the dosages of aqueous phase microbial inhibition component (CU), antioxidant rehydration component (CA), and vascular anti-film formation component (CN) are as follows:

[0176] ;

[0177] ;

[0178] ;

[0179] In the formula, Uo represents the baseline dosage of the aqueous phase microbial inhibition component, Ao represents the baseline dosage of the antioxidant rehydration component, No represents the baseline dosage of the vascular anti-film formation component, min represents the minimum value, max represents the maximum value, and tanh represents the hyperbolic tangent function.

[0180] Based on Sn2, Sn3, and Sn4 in the preservation effect offset diagram YB, the progressive processing timing code Tc is obtained, as shown in the following formula:

[0181] ;

[0182] In the formula, PU represents antibacterial pretreatment, PA represents antioxidant rehydration treatment, PN represents catheter anti-membrane treatment, and ex represents a very small positive number to prevent the denominator from being zero.

[0183] S42. Based on the dosage of aqueous microbial inhibitory component CU, antioxidant rehydration component CA, and duct anti-film formation component CN, calculate and obtain the release rhythm code Rc.

[0184] The release rhythm code Rc is obtained using the following formula:

[0185] ;

[0186] In the formula, t represents the storage and transportation treatment time, Rc(t) represents the release rhythm code at the storage and transportation time t, ku represents the aqueous phase antibacterial release coefficient, ka represents the antioxidant rehydration release coefficient, and Tn represents the catheter anti-membrane continuous effect coefficient.

[0187] Based on the high humidity antibacterial deviation Sn2, the bacterial oxygen conduit winding degree B2, and the freshness loss path rotation direction B3, the packaging vapor phase auxiliary code Vc is generated, as follows:

[0188] ;

[0189] In the formula, Go represents the baseline loading of plant-derived volatile antibacterial components, 1Q represents the indicator function, and minSj represents the minimum value among the four curve deviations.

[0190] By summarizing the phase preservation liquid structure code Lc, progressive processing sequence code Tc, release rhythm code Rc, and packaging gas phase auxiliary code Vc, the bacterial-oxygen dual interaction code C is obtained.

[0191] In this embodiment, the structure code Lc of the aqueous preservative solution is directly calculated using the bacterial-oxygen entanglement spectrum B. The dosages of the aqueous microbial inhibition component CU, the antioxidant rehydration component CA, and the vascular anti-film formation component CN are respectively bound to the dominant phase angle of bacterial-oxygen action B1, the bacterial-oxygen vascular entanglement degree B2, and the direction of freshness loss path rotation B3, so that the preservative solution no longer uses a fixed ratio. For batches harvested after rain, with high field humidity and turbidity at the base, the formulation can be biased towards microbial inhibition; for batches with a long post-harvest waiting period and obvious browning at the cut, the formulation can be biased towards antioxidant rehydration; for batches with strong mucilage and low initial water absorption, the formulation can be biased towards vascular anti-film formation, which is more suitable for the storage and transportation scenarios of cut flowers with large differences in the initial state of different batches.

[0192] In this embodiment, a progressive treatment sequence code Tc is generated based on the high humidity antibacterial deviation S2, long waiting time antioxidant deviation S3, and duct anti-film formation deviation S4 in the preservation effect deviation diagram YB. This ensures that the order of the antibacterial pretreatment PU, antioxidant rehydration treatment PA, and duct anti-film formation treatment PN is determined by the batch curve deviation results. This method overcomes the fixed pattern of "uniform soaking first, uniform packaging later" in existing processing flows, allowing high humidity batches to undergo antibacterial treatment first, long waiting time batches to undergo antioxidant rehydration treatment first, and duct-prone batches to undergo anti-film formation treatment first, preventing the treatment sequence from being misaligned with the actual freshness loss path.

[0193] In this embodiment, the plant-derived volatile antibacterial components are loaded into ordinary packaging paper pads or absorbent pads via the packaging vapor phase auxiliary code Vc. This allows the vapor phase antibacterial treatment within the packaging space and the aqueous phase treatment at the base of the flower stem to be jointly controlled by the bacteria-oxygen dual-coexistence formula code C. When the deviation from high humidity antibacterial treatment is the primary deviation, the packaging vapor phase auxiliary code enters the corresponding adjustment state, suitable for addressing the problem of easy microbial growth on the surface of petals, receptacles, and flower stem bases in high-humidity packaging environments. Thus, the aqueous phase preservative liquid structure code Lc, the progressive treatment sequence code Tc, the release rhythm code Rc, and the packaging vapor phase auxiliary code Vc together form a batch-based prescription output, which can improve the shortcomings of uniform formulas in simultaneously addressing high humidity, long waiting times, and easy blockage of conduits in batches.

[0194] Example 5

[0195] Please refer to Figure 1 Specifically: S5 includes S51 and S52;

[0196] S51. Based on the bacterial-oxygen dual-coexistence code C, and according to the aqueous preservative liquid structure code Lc, determine the addition amounts of aqueous microbial inhibition components, antioxidant rehydration components, and vascular anti-film formation components, and formulate antibacterial treatment units, antioxidant rehydration treatment units, and vascular anti-film formation treatment units accordingly.

[0197] According to the order of antibacterial pretreatment PU, antioxidant rehydration treatment PA and vascular anti-film treatment PN determined by the progressive treatment sequence code Tc, the base of the flower stem is subjected to antibacterial pretreatment, antioxidant rehydration treatment and vascular anti-film treatment in sequence.

[0198] When the sequential processing timing code Tc indicates that the antibacterial pretreatment PU is in the preceding sequence, priority is given to treating free contaminants and initial microbial occupancy at the base of the flower stem;

[0199] When the sequential processing timing code Tc indicates that the antioxidant rehydration treatment PA is in the preceding sequence, the cut browning and rehydration stress are treated first.

[0200] When the sequential processing timing code Tc indicates that the catheter anti-membrane treatment PN is in the preceding sequence, the tendency of membrane adhesion in the catheter is preferentially treated.

[0201] During the treatment process, the action rhythm indicated by the release rhythm code Rc is followed so that the aqueous antibacterial component corresponds to the pre-storage and transportation stage, the antioxidant rehydration component corresponds to the incision rehydration process, and the catheter anti-film formation component corresponds to the continuous occupancy process inside the catheter.

[0202] After the aqueous phase treatment is completed, the plant-derived volatile antibacterial components are loaded onto ordinary packaging paper pads or absorbent pads according to the packaging gas phase auxiliary code Vc, and then packaged and transported together with the water-treated cut flowers, so that the aqueous phase treatment at the base of the flower stem and the gas phase antibacterial treatment in the packaging space correspond to the same bacteria-oxygen dual-coexistence code C.

[0203] S52. Taking the batches of fresh cut flowers after water phase treatment as the object, during the observation period, the initial water absorption Qc after rehydration, the amount of color difference reduction at the cut Ec, and the clarity Dc of the base leachate were collected.

[0204] The initial water absorption Qc after rehydration was obtained by recording the change in liquid absorption at the base of the flower stem per unit time.

[0205] The reduction in cut color difference, Ec, is obtained by comparing the color change of the cut before and after processing.

[0206] The clarity (Dc) of the base leachate was obtained by briefly immersing the treated flower stem base in an equal volume of water and observing the state of the leachate.

[0207] Subsequently, the initial water absorption Qc after rehydration, the color difference reduction Ec at the cut, and the clarity Dc of the base leachate were arranged in the order of sampling to form the response trajectory after processing, and a closed-loop verification quantity Zc was constructed based on the response trajectory.

[0208] When the direction of change of the closed-loop verification quantity Zc is consistent with the direction of the freshness loss path B3 in step S2, it indicates that the judgment of the batch freshness loss path by the bacterial oxygen entanglement spectrum B matches the response after treatment; when the two directions are inconsistent, it indicates that there is a deviation between the actual storage and transportation response of the batch and the original judgment. In the next batch of similar flower materials, the scene benchmark quantity, the four types of freshness preservation prototype curves and the release rhythm parameters should be corrected.

[0209] In this embodiment, S51 uses the bacterial-oxygen dual-coexistence code C as the execution basis, and combines the aqueous preservative liquid structure code Lc, the progressive treatment sequence code Tc, the release rhythm code Rc, and the packaging gas phase auxiliary code Vc for the storage and transportation treatment of cut flowers, so that the treatment process no longer uses a fixed preservative liquid and a fixed soaking sequence. For different batches of cut flowers, the order of antibacterial treatment, antioxidant rehydration treatment, and vascular anti-film formation treatment can be determined based on the previous calculation results, so that the treatment path matches the batch's microbial occupation, cut browning, or vascular membrane adhesion tendency.

[0210] In this embodiment, the aqueous phase treatment first determines the addition amounts of the aqueous phase microbial inhibition component, antioxidant rehydration component, and conduit anti-film formation component based on Lc, and then determines the execution order of PU, PA, and PN based on Tc. Batches exhibiting high humidity, turbidity, or severe base contamination can be given priority for antibacterial pretreatment; batches showing significant cut browning and rehydration stress can be given priority for antioxidant rehydration treatment; and batches with low initial water absorption and easy conduit blockage can be given priority for conduit anti-film formation treatment. This treatment method can alleviate the problems of insufficient antibacterial activity, delayed rehydration, and untimely conduit blockage treatment caused by a uniform treatment sequence.

[0211] In this embodiment, the action rhythm of each component is arranged according to the release rhythm code Rc during the treatment process, so that the aqueous antibacterial component corresponds to the initial microbial occupation in the pre-storage and transportation stage, the antioxidant rehydration component corresponds to the rehydration change process at the cut, and the vascular anti-film formation component corresponds to the continuous occupation process within the vascular bundle. After the aqueous phase treatment is completed, the plant-derived volatile antibacterial component is loaded into ordinary packaging paper pads or absorbent pads according to the packaging vapor phase auxiliary code Vc. This allows the treatment of the flower stem base and the antibacterial treatment of the packaging space to serve the same batch state simultaneously, which can improve problems such as surface microbial growth, turbidity of the base leachate, and browning of petal edges in high humidity packaging environments.

[0212] In this embodiment, after treatment, S52 collects the initial water absorption Qc, the color difference reduction Ec at the cut, and the clarity Dc of the base leachate, and constructs a closed-loop verification quantity Zc, so that the treatment results can reverse-verify the judgment of the freshness loss path rotation direction B3 in step S2. If the change direction of Zc is consistent with B3, it indicates that the judgment of the preceding bacterial oxygen entanglement spectrum for this batch matches the actual treatment response; if the two are inconsistent, the scenario benchmark quantity, the four types of preservation prototype curves, and the release rhythm parameters can be corrected in the next batch of similar flower materials treatment, so that the prescription generation of subsequent batches is more in line with the actual storage and transportation performance.

[0213] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and variations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended technical solutions and their equivalents.

Claims

1. A method for storing, transporting, and preserving fresh-cut flowers that combines microbial inhibition and antioxidant effects, characterized in that: Includes the following steps: S1. Before the fresh-cut flowers enter the storage and preservation process, the original scene quantity A of the same harvested batch of fresh-cut flowers is collected and non-linear normalization is performed to obtain the normalized scene quantity GA. S2. Based on the normalized scene quantity GA, calculate and obtain the microbial potential axis Xm, oxidation potential axis Xo and vascular stagnation axis Xd, and calculate and obtain the bacterial oxygen entanglement spectrum B. S3. Generate the curve GB(θ) to be evaluated based on the bacterial oxygen entanglement spectrum B, and calculate the curve deviation Sj. Generate the preservation effect offset map YB according to the order of the curve deviation Sj. S4. Based on the bacterial-oxygen entanglement spectrum B and the preservation effect offset map YB, generate the bacterial-oxygen dual interaction code C. S5. Based on the bacterial-oxygen dual-coexistence code C, fresh-cut flowers are stored and transported for preservation, and a closed-loop verification quantity Zc is constructed.

2. The method for storing, transporting, and preserving fresh-cut flowers combining microbial inhibition and antioxidant effects according to claim 1, characterized in that: S1 includes S11 and S12; S11. Before the fresh cut flowers enter the storage and transportation preservation process, fresh cut flowers with the same harvest time, the same flower variety, the same harvest plot or the same supply batch number are classified as a harvest batch, and the original scene quantity A of the harvest batch is collected. The original scene quantity A includes the rainfall status before harvest a1, field air humidity a2, post-harvest waiting time a3, the mucus level at the base of the flower stem a4, the clear water short soaking turbidity status at the base of the flower stem a5, the initial browning status of the cut a6, the initial water absorption per unit time a7, and the easy blockage attribute of the flower material vascular bundle a8. After the original scene quantity A is collected, the data inside the original scene quantity A is arranged according to the external disturbance information and the real-time status information of the flower stem to form the post-collection disturbance matrix AX; ； S12. Using the post-harvest perturbation matrix AX as input, perform benchmarking processing on each original scene quantity for the same type of flower material. For the i-th original scene quantity ai, call the scene benchmark quantity pai in the historical storage and transportation records of the same type of flower material, and calculate the normalized scene quantity ga according to the following formula: ； In the formula, i = 1, 2, ..., 8; pai is the historical scene baseline quantity of the same type of flower materials under the same storage and transportation conditions, and gai represents the normalized i-th original scene quantity; After processing, a normalized scene quantity (GA) is generated: ； In the formula, ga1 represents the normalized result corresponding to the rainfall state before harvest, ga2 represents the normalized result corresponding to the field air humidity, ga3 represents the normalized result corresponding to the post-harvest waiting time, ga4 represents the normalized result corresponding to the mucus level at the base of the flower stem, ga5 represents the normalized result corresponding to the turbid state after short soaking in clear water, ga6 represents the normalized result corresponding to the initial browning state of the cut, ga7 represents the normalized result corresponding to the initial water absorption per unit time, and ga8 represents the normalized result corresponding to the easy blockage attribute of the flower material's vascular bundles.

3. The method for storing, transporting, and preserving fresh-cut flowers combining microbial inhibition and antioxidant effects according to claim 2, characterized in that: S2 includes S21 and S22; S21. Based on the data within the normalized scene quantity GA, calculate and obtain the microbial potential axis Xm, oxidation potential axis Xo, and vascular stagnation axis Xd. The formulas are as follows. ； ； 。 4. The method for storing, transporting, and preserving fresh-cut flowers combining microbial inhibition and antioxidant effects according to claim 3, characterized in that: S22. Based on the microbial potential axis Xm, the oxidation potential axis Xo and the vascular stagnation axis Xd, construct the bacterial oxygen entanglement spectrum B = (B1, B2, B3). In the formula, B1 represents the dominant phase angle of bacterial oxygenation, B2 represents the degree of bacterial oxygenation vascular entanglement, and B3 represents the direction of the path of freshness loss. The dominant phase angle B1 of bacterial oxygenation is obtained using the following formula: ； In the formula, arctan represents the arcsine function, and md represents the smallest positive number to prevent the denominator from being zero; The degree of duct winding B2 is obtained using the following formula: ； In the formula, ln represents the logarithmic function; The direction of the freshness loss path, B3, is obtained using the following formula: 。 5. The method for storing, transporting, and preserving fresh-cut flowers combining microbial inhibition and antioxidant effects according to claim 4, characterized in that: S3 includes S31 and S32; S31. Based on the bacterial oxygen entanglement spectrum B, calculate and obtain the curve GB(θ) to be evaluated, using the following formula: GB(θ)=1+B2cos(θ-B1)+B3sin(2θ); In the formula, θ represents the phase variable of bacterial oxygenation, with a value range of 0 ≤ θ ≤ 2π, cos represents the cosine function, and sin represents the sine function; Based on the curve GB(θ) to be evaluated, four types of preservation prototype curves were established, including conventional preservation curve G1(θ), high humidity antibacterial curve G2(θ), long waiting time antioxidant curve G3(θ), and duct anti-film formation curve G4(θ). Conventional preservation curve G1(θ): Select historical batches of the same variety that were harvested without rain, with normal field humidity, short post-harvest waiting time, no obvious mucus at the base of the flower stem, clear short-term water soaking liquid, light browning at the cut surface, and normal initial water absorption. For each batch, calculate the corresponding microbial potential axis Xm, oxidation potential axis Xo, and vascular stagnation axis Xd according to S1 and S2, and take the center value to generate conventional preservation prototype parameters, which are then substituted into the curve formula to be evaluated. High humidity antibacterial curve G2(θ): Select historical batches of the same variety that were harvested after rain, with high field humidity, turbid short soaking liquid at the base of the flower stem, but whose initial water absorption has not yet decreased significantly; calculate the corresponding microbial potential axis Xm, oxidation potential axis Xo and vascular stagnation axis Xd for each batch according to S1 and S2, and take the center value to generate high humidity antibacterial prototype parameters, which are then substituted into the curve formula to be evaluated. Long-waiting antioxidant curve G3(θ): Select historical batches of the same variety with long post-harvest waiting time, severe browning of the cut surface, slight decrease in initial water absorption, but no prominent mucus at the base of the flower stem; calculate the corresponding microbial potential axis Xm, oxidation potential axis Xo and vascular stagnation axis Xd for each batch according to S1 and S2, and take their center values ​​to generate long-waiting antioxidant prototype parameters, which are then substituted into the curve formula to be evaluated. The anti-film formation curve G4(θ) of the vascular bundles was obtained by selecting historical batches of the same variety that exhibited strong mucus at the base of the flower stem, turbidity in the short-saturated water solution, low initial water absorption, and easy blockage of the vascular bundles. For each batch, the corresponding microbial potential axis Xm, oxidation potential axis Xo, and vascular stagnation axis Xd were calculated according to S1 and S2. The center value of these values ​​was used to generate the prototype parameters of the anti-film formation of the vascular bundles, which were then substituted into the formula of the curve to be evaluated.

6. The method for storing, transporting, and preserving fresh-cut flowers combining microbial inhibition and antioxidant effects according to claim 5, characterized in that: S32. Using the curve to be evaluated GB(θ) and the four types of preservation prototype curves as input, first calculate the differential of the oxygen action phase variable θ of each bacteria: dGj(θ) = Gj′(θ)dθ; Wherein, Gj′(θ) = -B2jsin(θ-B1j) + 2×B3jcos(2θ); In the formula, j represents the preservation prototype curve number, j=1, 2, 3, 4, which correspond to the four types of curves: conventional preservation, high humidity antibacterial, long waiting time for anti-oxidation, and duct anti-film formation, respectively. d represents the differential symbol. Gj(θ) represents the curve value of the j-th type of preservation prototype curve under the phase variable θ of bacterial oxygen action. Gj′(θ) represents the first derivative of Gj(θ) with respect to (θ). B2j represents the bacterial oxygen duct winding degree of the j-th type of preservation prototype. B1j represents the dominant phase angle of bacterial oxygen action of the j-th type of preservation prototype. B3j represents the direction of the freshness loss path of the j-th type of preservation prototype. The deviation Sj of the curve is obtained by calculating the difference in the closed area between the curve to be evaluated and each prototype curve, as shown in the following formula: ； Generate a preservation effect offset map YB according to the size order of Sn1, Sn2, Sn3 and Sn4; In the formula, Sn1 represents the deviation amount of conventional preservation, Sn2 represents the deviation amount of high humidity antibacterial, Sn3 represents the deviation amount of long waiting time for antioxidant, and Sn4 represents the deviation amount of duct anti-membrane formation.

7. The method for storing, transporting, and preserving fresh-cut flowers combining microbial inhibition and antioxidant effects according to claim 6, characterized in that: S4 includes S41 and S42; S41. Based on the bacterial oxygen entanglement spectrum B, calculate and obtain the structure code Lc of the aqueous preservative solution. The structure code Lc of the aqueous preservative solution consists of the amount of aqueous microbial inhibition component CU, the amount of antioxidant rehydration component CA, and the amount of vascular anti-film formation component CN. The formulas for obtaining the dosages of aqueous phase microbial inhibition component (CU), antioxidant rehydration component (CA), and vascular anti-film formation component (CN) are as follows: ； ； ； In the formula, Uo represents the baseline dosage of the aqueous phase microbial inhibition component, Ao represents the baseline dosage of the antioxidant rehydration component, No represents the baseline dosage of the vascular anti-film formation component, min represents the minimum value, max represents the maximum value, and tanh represents the hyperbolic tangent function. Based on Sn2, Sn3, and Sn4 in the preservation effect offset diagram YB, the progressive processing timing code Tc is obtained, as shown in the following formula: ； In the formula, PU represents antibacterial pretreatment, PA represents antioxidant rehydration treatment, PN represents catheter anti-membrane treatment, and ex represents a very small positive number to prevent the denominator from being zero.

8. The method for storing, transporting, and preserving fresh-cut flowers combining microbial inhibition and antioxidant effects according to claim 7, characterized in that: S42. Based on the dosage of aqueous microbial inhibitory component CU, antioxidant rehydration component CA, and duct anti-film formation component CN, calculate and obtain the release rhythm code Rc. The release rhythm code Rc is obtained using the following formula: ； In the formula, t represents the storage and transportation treatment time, Rc(t) represents the release rhythm code at the storage and transportation time t, ku represents the aqueous phase antibacterial release coefficient, ka represents the antioxidant rehydration release coefficient, and Tn represents the catheter anti-membrane continuous effect coefficient. Based on the high humidity antibacterial deviation Sn2, the bacterial oxygen conduit winding degree B2, and the freshness loss path rotation direction B3, the packaging vapor phase auxiliary code Vc is generated, as follows: ； In the formula, Go represents the baseline loading of plant-derived volatile antibacterial components, 1Q represents the indicator function, and minSj represents the minimum value among the four curve deviations. By summarizing the phase preservation liquid structure code Lc, progressive processing sequence code Tc, release rhythm code Rc, and packaging gas phase auxiliary code Vc, the bacterial-oxygen dual interaction code C is obtained.

9. A method for storing, transporting, and preserving fresh-cut flowers combining microbial inhibition and antioxidant effects, as described in claim 8, is characterized in that: S5 includes S51 and S52; S51. Based on the bacterial-oxygen dual-coexistence code C, and according to the aqueous preservative liquid structure code Lc, determine the addition amounts of aqueous microbial inhibition components, antioxidant rehydration components, and vascular anti-film formation components, and formulate antibacterial treatment units, antioxidant rehydration treatment units, and vascular anti-film formation treatment units accordingly. According to the order of antibacterial pretreatment PU, antioxidant rehydration treatment PA and vascular anti-film treatment PN determined by the progressive treatment sequence code Tc, the base of the flower stem is subjected to antibacterial pretreatment, antioxidant rehydration treatment and vascular anti-film treatment in sequence. When the sequential processing timing code Tc indicates that the antibacterial pretreatment PU is in the preceding sequence, priority is given to treating free contaminants and initial microbial occupancy at the base of the flower stem; When the sequential processing timing code Tc indicates that the antioxidant rehydration treatment PA is in the preceding sequence, the cut browning and rehydration stress are treated first. When the sequential processing timing code Tc indicates that the catheter anti-membrane treatment PN is in the preceding sequence, the tendency of membrane adhesion in the catheter is preferentially treated. During the treatment process, the action rhythm indicated by the release rhythm code Rc is followed so that the aqueous antibacterial component corresponds to the pre-storage and transportation stage, the antioxidant rehydration component corresponds to the incision rehydration process, and the catheter anti-film formation component corresponds to the continuous occupancy process inside the catheter. After the aqueous phase treatment is completed, the plant-derived volatile antibacterial components are loaded onto ordinary packaging paper pads or absorbent pads according to the packaging gas phase auxiliary code Vc, and then packaged and transported together with the water-treated cut flowers, so that the aqueous phase treatment at the base of the flower stem and the gas phase antibacterial treatment in the packaging space correspond to the same bacteria-oxygen dual-coexistence code C.

10. A method for storing, transporting, and preserving fresh-cut flowers combining microbial inhibition and antioxidant effects, as described in claim 9, characterized in that: S52. Taking the batches of fresh cut flowers after water phase treatment as the object, during the observation period, the initial water absorption Qc after rehydration, the amount of color difference reduction at the cut Ec, and the clarity Dc of the base leachate were collected. The initial water absorption Qc after rehydration was obtained by recording the change in liquid absorption at the base of the flower stem per unit time. The reduction in cut color difference, Ec, is obtained by comparing the color change of the cut before and after processing. The clarity (Dc) of the base leachate was obtained by briefly immersing the treated flower stem base in an equal volume of water and observing the state of the leachate. Subsequently, the initial water absorption Qc after rehydration, the color difference reduction Ec at the cut, and the clarity Dc of the base leachate were arranged in the order of sampling to form the response trajectory after processing, and a closed-loop verification quantity Zc was constructed based on the response trajectory. When the direction of change of the closed-loop verification quantity Zc is consistent with the direction of the freshness loss path B3 in step S2, it indicates that the judgment of the batch freshness loss path by the bacterial oxygen entanglement spectrum B matches the response after treatment; when the two directions are inconsistent, it indicates that there is a deviation between the actual storage and transportation response of the batch and the original judgment. In the next batch of similar flower materials, the scene benchmark quantity, the four types of freshness preservation prototype curves and the release rhythm parameters should be corrected.

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