Device and method for identifying fresh raw meat and frozen-thawed meat in dishes based on ultra-weak luminescence

Abstract

The present invention discloses a device for identifying fresh raw meat and frozen-thawed meat for dishes based on ultra-weak luminescence, comprising: a sample detection module having a sample holding chamber; a light source irradiation module having a light source for generating excitation light; a signal acquisition module for collecting biological ultra-weak luminescence signals emitted by the sample to be tested after being irradiated with excitation light; an overall control module for controlling the operation of the light source irradiation module and the signal acquisition module; a host computer for receiving biological ultra-weak luminescence signals, and performing data processing and analysis on the biological ultra-weak luminescence signals, inputting the signals into a built-in qualitative identification model for fresh raw meat for dishes and frozen-thawed meat, and outputting identification results. The present invention has the beneficial effects of accurately emitting excitation light to irradiate samples and accurately collecting biological ultra-weak luminescence signals of samples. A method for identifying fresh raw meat and frozen-thawed meat for dishes based on ultra-weak luminescence is disclosed, which can accurately detect biological ultra-weak luminescence signals of samples and quickly and accurately identify raw meat for dishes.

Description

Technical Field

[0001] The present invention relates to the technical field of optical detection in food, and more specifically, to a device and method for identifying fresh raw meat and frozen-thawed meat in dishes based on ultra-weak luminescence. Background Art

[0002] my country is a major meat producer and consumer. With the annual growth in the consumption of prepared meat dishes, consumers are increasingly concerned about whether the raw meat is fresh or frozen due to economic losses, food allergies, religious beliefs and food safety. Accordingly, there is a great demand for technologies to quickly and accurately identify fresh meat or frozen. The most common thing is that some unscrupulous vendors sell thawed meat as fresh meat to consumers to gain improper benefits. Traditional technologies, including DNA-based polymerase chain reaction, enzymatic hydrolysis, protein-based enzyme-linked immunosorbent assay, mass spectrometry and differential scanning calorimetry, are conventional methods for identifying fresh meat and frozen meat. However, these technologies have the disadvantages of being time-consuming and costly. Currently, the rapid non-destructive detection methods for fresh meat and frozen-thawed meat mostly use near-infrared spectroscopy technology, which is fast and sensitive. However, meat with different degrees of freezing and thawing has similar overlapping peaks on the spectral curve, which requires complex chemometric methods to distinguish. The results obtained are difficult to establish an accurate correspondence with the internal structure and molecular mechanism of the substance that responds to spectral changes. The established identification and prediction models for fresh meat and frozen-thawed meat generally have problems of low robustness and poor stability.

[0003] Due to energy metabolism, oxidation reactions and other processes in the body, a kind of biophoton luminescence phenomenon is produced, which is called biological ultra-weak luminescence, which can reflect the original nature of the body and information related to the life process. Studies by scholars have shown that this technology can be used to measure changes in the quality of plants, fruits, vegetables and meat products, and that the substances that can produce biophotons in the body are excited carbonyl compounds. When these excited compounds are de-excited, they will produce spectra of different wavelengths, which can reflect the changes in sensitive specific substances in the internal components of the organism. Compared with fresh meat, frozen-thawed meat has obvious differences in the degree of protein oxidation in the meat during the continuous freezing and thawing process, and the content of carbonyl compounds of the corresponding oxidative metabolites will also change. The content of sensitive carbonyl compounds that can produce biological ultra-weak luminescence and the corresponding biological ultra-weak luminescence kinetics will also be significantly different, which provides a basis for distinguishing fresh meat from frozen-thawed meat based on changes in sensitive carbonyl content mediated by protein oxidation. However, there is currently a lack of technology and equipment for identifying the adulteration of fresh meat and frozen-thawed meat as dish ingredients using biological ultra-weak luminescence technology. There is an urgent need for a device and method that utilizes the principle of biological ultra-weak luminescence to simply, quickly and accurately identify fresh meat and frozen-thawed meat, so as to provide technical support for the promotion and application of biological ultra-weak luminescence technology in the field of food authenticity detection. Summary of the invention

[0004] An object of the present invention is to solve at least the above problems and to provide at least the advantages which will be described hereinafter.

[0005] In order to achieve these purposes and other advantages according to the present invention, a device for identifying fresh raw meat and frozen-thawed meat of dishes based on ultra-weak luminescence is provided, comprising:

[0006] A sample detection module, which has a sample holding chamber, wherein the sample holding chamber is used to place a sample to be detected;

[0007] A light source irradiation module is disposed above the sample holding chamber, and the light source irradiation module has a light source for generating excitation light, and the light source is used to irradiate the excitation light to the sample to be tested;

[0008] A signal acquisition module is disposed above the sample holding chamber, and is used to acquire the biological ultra-weak luminescence signal emitted by the sample to be tested after being irradiated with the excitation light;

[0009] An overall control module, which is used to control the operation of the light source illumination module and the signal acquisition module;

[0010] The host computer is used to receive the collected biological ultra-weak luminescence signals, perform data processing and analysis on the biological ultra-weak luminescence signals to obtain corresponding optical parameters, and input them into the built-in qualitative identification model of fresh dish raw meat and frozen-thawed meat, and output the identification results, wherein the qualitative identification model of fresh dish raw meat and frozen-thawed meat is based on specific optical parameters or sensitivity combination functions, and the corresponding sensitive carbonyl types, weight ratios, group proportion relationships, and initial contents are modeled using Fisher linear discriminant or support vector machine qualitative discrimination methods.

[0011] Preferably, the host computer further includes a built-in model for identifying the number of freeze-thaw times of frozen-thawed meat, which is used to receive the optical parameters after data processing and analysis by the host computer, and output a result of identifying the number of freeze-thaw times.

[0012] Preferably, the sample detection module includes a supporting base, the sample holding chamber opened on the side wall of the supporting base, a pull-out detection tray adapted to the sample holding chamber, and a sample detection port opened on the top of the supporting base and communicating with the sample holding chamber, wherein the sample detection port, the detection tray and the sample holding chamber correspond to each other one by one and match each other, wherein a handle is provided on the outer side wall of the sample detection tray.

[0013] Preferably, the light source irradiation module includes an irradiation catheter which is arranged obliquely and whose lower port is connected to the sample detection port, the light source is sealed at the upper port of the irradiation catheter, a light source control unit which interacts with the overall control module, and a light source isolation module which is arranged on the irradiation catheter and interacts with the overall control module, wherein the light source control unit includes a driving module and a cooling and heat dissipation module, the driving module is used to control the wavelength and duration of the excitation light emitted by the light source, the cooling and heat dissipation module is used for cooling and heat dissipation, and the light source isolation module is used to isolate the sample detection port and the light source at a selected time.

[0014] Preferably, a first accommodating hole is provided on the side wall of the irradiation conduit;

[0015] The light source isolation module includes a first mounting block with a sealing cover disposed in the first accommodating hole, a first groove opened on the first mounting block, a first flip motor fixed to the top of the first groove through a first fixing plate, and a first isolation plate fixed to the output shaft of the first flip motor through a second fixing plate, wherein the output shaft of the first flip motor is perpendicular to the axial direction of the irradiation catheter, when the output shaft of the first flip motor rotates a certain angle toward the center of the irradiation catheter, the first isolation plate separates the sample detection port from the light source, and when the output shaft of the first flip motor rotates a certain angle away from the center of the irradiation catheter, the first isolation plate is received in the first groove.

[0016] Preferably, the signal acquisition module includes a signal acquisition tube which is vertically arranged and whose lower port is connected to both the sample detection port and the irradiation catheter, a signal acquisition module which is sealed and arranged on the top of the signal acquisition tube and interacts with the overall control module, and a signal isolation module which is arranged on the signal acquisition tube and interacts with the overall control module, wherein the signal acquisition module includes a photomultiplier tube for collecting biological ultra-weak luminescence signals, a refrigeration unit for refrigeration, and a signal control unit for controlling the operation of the photomultiplier tube, and the signal isolation module is used to isolate the sample detection port and the photomultiplier tube at a selected time.

[0017] Preferably, a second accommodating hole is provided on the side wall of the signal collection tube;

[0018] The signal isolation module includes a second mounting block with a sealing cover disposed in the second accommodating hole, a second groove opened on the second mounting block, a second flip motor fixed to the top of the second groove through a third fixing plate, and a second isolation plate fixed to the output shaft of the second flip motor through a fourth fixing plate, wherein the output shaft of the second flip motor is perpendicular to the axial direction of the signal acquisition tube, when the output shaft of the second flip motor rotates a certain angle toward the center of the signal acquisition tube, the second isolation plate timely isolates the sample detection port from the photomultiplier tube, and when the output shaft of the second flip motor rotates a certain angle away from the center of the signal acquisition tube, the second isolation plate is received in the second groove.

[0019] Preferably, the signal collection tube is intersected and communicated with the lower port of the irradiation catheter, and the axis centers of the signal collection tube and the irradiation catheter intersect at the center of the sample detection port.

[0020] Preferably, it further comprises a light source mounting plate with a sealing cover disposed on the upper end of the irradiation conduit and a light source mounting tube disposed on the light source mounting plate, the light source mounting tube being located in the irradiation conduit, and the light source and the light source control unit being mounted on the light source mounting tube;

[0021] It also includes a collection installation plate with a sealing cover disposed on the upper end of the signal collection tube and a collection installation tube disposed on the collection installation plate. The collection installation tube is located in the signal collection tube, and the photomultiplier tube and the signal control unit are installed on the collection installation tube.

[0022] A method for identifying fresh raw meat and frozen-thawed meat in dishes based on ultra-weak luminescence is provided, comprising the following steps:

[0023] The above device is used to detect and obtain the biological ultra-weak luminescence signal of the sample after being oxidized for a certain period of time under photosensitive conditions;

[0024] Based on the biological ultra-weak luminescence signal, the light intensity-time is used as the parameter to analyze and establish the biological ultra-weak luminescence kinetic change law of the sample, and the attenuation kinetic function model of each optical parameter is established. Then, the optimal attenuation kinetic function model of each optical parameter is determined by the correlation coefficient, and the variables of the optimal attenuation kinetic function model are analyzed to obtain the optimal optical parameters.

[0025] The obtained optimal optical parameters are input into a qualitative identification model of fresh dish raw meat and frozen-thawed meat established based on the corresponding optical parameters, and the identification results are output;

[0026] The obtained optimal optical parameters are input into a freeze-thaw times identification model for frozen-thawed meat established based on the corresponding optical parameters, and the identification results are output;

[0027] Among them, the method for establishing the qualitative identification model of fresh dish raw meat and frozen-thawed meat and the method for establishing the freezing-thaw times identification model of frozen-thawed meat specifically include:

[0028] Preparing a plurality of fresh raw meat samples and a plurality of frozen-thawed meat samples, and obtaining corresponding biological ultra-weak luminescence signals respectively, establishing corresponding biological ultra-weak luminescence kinetic curves and attenuation kinetic function models, wherein a freeze-thaw number gradient of the plurality of groups of frozen-thawed meat samples is set;

[0029] Physical and chemical detection methods were used to detect the total carbonyl content, total aldehyde compound content, total carboxylic acid and derivative content, and total keto compound content of the corresponding fresh raw meat samples and the corresponding frozen-thawed meat samples before and after photosensitive oxidation;

[0030] Based on the attenuation kinetic function model, the changes in optical parameters are correlated with the total keto compound content, the total carboxylic acid and derivative content, and the total aldehyde compound content, and the carbonyl species and content with high correlation are screened out, that is, sensitive carbonyl groups are obtained;

[0031] The physical and chemical detection method detects the type and content of sensitive carbonyl compounds, and calculates the corresponding weight ratio, group ratio relationship, and initial content;

[0032] Based on the change of the optical parameters of the attenuation kinetic function model and the type and content of the compound with sensitive carbonyl, the corresponding weight ratio, the group ratio relationship, the initial content, the change rate and the change difference, a correlation analysis is performed to screen out the optical parameters with high correlation and / or the combination function of the optical parameters, that is, the specific optical parameters and / or establish a sensitivity combination function, wherein the sensitivity combination function is a function formed by mathematical operations of multiple optical parameters;

[0033] Based on specific optical parameters and / or sensitivity combination functions, as well as corresponding sensitive carbonyl types, weight ratios, group ratio relationships, initial contents, change rates, and change differences, Fisher linear discriminant or support vector machine qualitative discriminant methods are used to model the fresh dish raw meat and frozen-thawed meat qualitative identification model; and,

[0034] Based on specific optical parameters and / or sensitivity combination functions, as well as the corresponding sensitive carbonyl types, weight ratios, group ratio relationships, initial contents, change rates and change differences, principal component analysis, partial least squares discriminant analysis and orthogonal partial least squares discriminant analysis methods are used to model the frozen-thaw meat freeze-thaw times identification model.

[0035] The present invention includes at least the following beneficial effects: the present invention provides a device for identifying fresh raw meat and frozen-thawed meat in dishes based on ultra-weak luminescence, which uses a light source of a certain wavelength to irradiate the sample for a certain period of time, uses the biological ultra-weak luminescence signal emitted by the sample, obtains a biological ultra-weak luminescence kinetic curve, and combines the discrimination model of raw fresh meat and frozen-thawed meat to achieve accurate discrimination of frozen-thawed meat and fresh meat, providing technical support for the promotion and application of biological ultra-weak luminescence technology in the field of food authenticity detection.

[0036] Other advantages, objectives and features of the present invention will be embodied in part through the following description, and in part will be understood by those skilled in the art through study and practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] Figure 1 A schematic diagram of the three-dimensional structure of the detection device according to one of the technical solutions of the present invention;

[0038] Figure 2 A detailed diagram of the light source isolation module according to one of the technical solutions of the present invention;

[0039] Figure 3 A connection diagram of the detection device according to one of the technical solutions of the present invention;

[0040] Figure 4 This is a schematic diagram of the rotation of the first isolation plate and the second isolation plate according to one of the technical solutions of the present invention. DETAILED DESCRIPTION

[0041] The present invention is further described in detail below in conjunction with the accompanying drawings so that those skilled in the art can implement the invention with reference to the description.

[0042] It should be noted that the experimental methods described in the following embodiments are conventional methods unless otherwise specified, and the reagents and materials are commercially available unless otherwise specified; in the description of the present invention, the orientation or positional relationship indicated by the terms is based on the orientation or positional relationship shown in the accompanying drawings, which is only for the convenience of describing the present invention and simplifying the description, and does not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation on the present invention.

[0043] like Figures 1 to 4As shown, the meanings of the various reference numerals are as follows: sample holding chamber 1, light source 2, overall control module 3, host computer 4, support base 5, detection tray 6, sample detection port 7, handle 8, irradiation catheter 9, light source isolation module 10, first accommodating hole 11, first mounting block 101, first groove 102, first fixing plate 103, first flip motor 104, second fixing plate 105, first isolation plate 106, signal collection tube 12, signal isolation module 13, photomultiplier tube 14, second mounting block 131, second groove 132, second flip motor 133, second isolation plate 134, light source mounting plate 16, light source mounting tube 17, collection mounting plate 18, collection mounting tube 15.

[0044] like Figures 1 to 4 As shown, the present invention provides a device for identifying fresh raw meat and frozen-thawed meat of dishes based on ultra-weak luminescence, comprising:

[0045] A sample detection module, which has a sample holding chamber 1, wherein the sample holding chamber 1 is used to place a sample to be detected;

[0046] A light source irradiation module is arranged above the sample holding chamber 1, and the light source irradiation module has a light source 2 for generating excitation light, and the light source 2 is used to irradiate the excitation light to the sample to be tested; the light source 2 is preferably an ultraviolet LED or a laser light source, and the ultraviolet LED and the laser light source can emit excitation light of the required wavelength, such as excitation light with a wavelength of 300 to 350 nm, and the excitation light is used to irradiate the sample to cause the sample to undergo photosensitization.

[0047] A signal acquisition module, which is arranged above the sample holding chamber 1, and is used to collect the biological ultra-weak luminescence signal emitted by the sample to be tested after being irradiated with the excitation light;

[0048] The overall control module 3 is used for the operation of the light source irradiation module and the signal acquisition module, controlling the wavelength and duration of the excitation light emitted by the light source 2, controlling the acquisition timing of the signal acquisition module, and transmitting the biological ultra-weak luminescence signal collected by the signal acquisition module;

[0049] The host computer 4 is used to receive the collected biological ultra-weak luminescence signals, perform data processing and analysis on the biological ultra-weak luminescence signals, and output the prediction results. The software of the host computer 4 has built-in qualitative and quantitative models for fresh meat and frozen-thawed meat, determines whether the sample is frozen-thawed meat and the prediction results of the number of freeze-thaw cycles, and displays the results.

[0050] In the above technical scheme, a device for identifying fresh raw meat and frozen-thawed meat of dishes based on ultra-weak luminescence is provided, which is used to solve the defect that fresh meat and frozen-thawed meat cannot be easily, quickly and accurately identified in the prior art. After the sample is processed, it is placed in the sample holding chamber 1 with an open container, and is exposed to excitation light of a certain wavelength (for example, a wavelength of 300-350nm) emitted by the light source irradiation module for a certain time (for example, 5-10min), so that the sample undergoes photosensitive oxidation, and then the irradiation is turned off, the irradiation light source 2 is shielded, and the signal acquisition module is used in time to collect the biological ultra-weak luminescence signal emitted by the sample for a period of time (for example, 10-30s) after the light source 2 is turned off. The biological ultra-weak luminescence signal is transmitted to the host computer 4 via the overall control module 3, thereby completing the biological ultra-weak luminescence signal collection of the sample.

[0051] The host computer 4 can obtain the biological ultra-weak luminescence kinetic curve of the sample through data processing and analysis, determine the optimal decay kinetic model, and the optimal optical parameters including decay time T 衰变 , initial slope S 斜率 , spontaneous photon intensity I SL , total light intensity I(T), average light intensity I 平均 Etc., use these parameters to jointly analyze the optimal attenuation kinetics of ultra-weak biological luminescence after meat oxidation. A discrimination model for raw fresh meat and frozen-thawed meat is established based on the ultra-weak biological luminescence spectrum and the optical parameters of ultra-weak biological luminescence. Based on the mutual coupling between optical parameters or the construction of new functions to confirm the correlation with the internal physical and chemical indicators of meat, a prediction and discrimination model corresponding to ultra-weak biological luminescence and physical and chemical indicators is established.

[0052] This detection device is used to find the relationship between the changes in the sensitive characteristic marker substance components inside frozen-thawed meat and the biological ultra-weak luminescence, accurately identify frozen-thawed meat and fresh meat, and provide a theoretical basis and technical support for the promotion and application of biological ultra-weak luminescence technology in the field of food authenticity detection.

[0053] In another technical solution, the sample detection module includes a supporting base 5, the sample holding chamber 1 opened on the side wall of the supporting base 5, a detection tray 6 that is pull-out and adapted to the sample holding chamber 1, and a sample detection port 7 opened on the top of the supporting base 5 and communicating with the sample holding chamber 1. The sample detection port 7, the detection tray 6 and the sample holding chamber 1 correspond to each other one by one and match each other, wherein a handle 8 is provided on the outer wall of the sample detection tray 6.

[0054] In the above technical solution, the support base 5 has a supporting and stabilizing function, and provides an installation position for the light source illumination module and the signal acquisition module. The sample holding chamber 1 is located in the support base 5, and the top opening forms a sample detection port 7, which allows the excitation light of the light source 2 to be smoothly irradiated onto the sample through the sample detection port 7. The detection tray 6 is a pull-out type, which is convenient for pulling out from the sample holding chamber 1 to place a sample container, such as a culture dish. The sample is placed in the sample container, the sample container is placed at the center of the detection tray 6, and then pushed into the sample holding chamber 1. The setting of the handle 8 is convenient for the operator to pull and push the detection tray 6.

[0055] In another technical solution, the light source irradiation module includes an irradiation catheter 9 which is tilted and whose lower port is connected to the sample detection port 7, the light source 2 which is sealed at the upper port of the irradiation catheter 9, a light source control unit which interacts with the overall control module 3, and a light source isolation module 10 which is arranged on the irradiation catheter 9 and interacts with the overall control module 3, wherein the light source control unit includes a driving module and a cooling and heat dissipation module, wherein the driving module is used to control the wavelength and duration of the excitation light emitted by the light source 2, the cooling and heat dissipation module is used to cool and dissipate the light source 2 and the irradiation catheter 9, and the light source isolation module 10 is used to isolate the sample detection port 7 from the light source 2 at a selected time.

[0056] In the above technical solution, the light source irradiation module is used to perform photosensitive oxidation on the sample. Therefore, in order to enable the excitation light emitted by the light source 2 to be accurately irradiated as required, an irradiation conduit 9 is provided. The lower end of the irradiation conduit 9 is connected with the sample detection port 7. The light source 2 is arranged in the irradiation conduit 9 and irradiates along the area defined by the irradiation conduit 9, so as to accurately irradiate the sample located in the sample holding cavity, and also avoid the influence of external natural light. The light source control unit includes a driving module and a cooling and heat dissipation module. The driving module is controlled by the overall control module 3. After receiving the instruction of the overall control module 3, the driving module controls whether the power supply is supplied to the light source 2, and controls the wavelength and duration of the excitation light emitted by the light source 2, so as to accurately control the time when the sample is photosensitively oxidized, so as to achieve the purpose of accurately processing the sample and reduce the error. The cooling and heat dissipation module is controlled by the overall control module 3. After receiving the instruction of the overall control module 3, the cooling and heat dissipation module is controlled to start, dissipate heat for the irradiation conduit 9 and the light source 2, so that the emitted excitation light is in the required temperature environment. In summary, the light source 2 (ultraviolet LED or laser light source) can be controlled to complete the irradiation of the sample in the sample detection port 7 by the light source irradiation module under a certain frequency and constant temperature and current conditions.

[0057] In another technical solution, a first receiving hole 11 is opened on the side wall of the irradiation conduit 9;

[0058] The light source isolation module 10 includes a first mounting block 101 with a sealing cover disposed in the first accommodating hole 11, a first groove 102 opened on the first mounting block 101, a first flip motor 104 fixed to the top of the first groove 102 through a first fixing plate 103, and a first isolation plate 106 fixed to the output shaft of the first flip motor 104 through a second fixing plate 105, wherein the output shaft of the first flip motor 104 is perpendicular to the axial direction of the irradiation catheter 9, when the output shaft of the first flip motor 104 rotates a certain angle toward the center of the irradiation catheter 9, the first isolation plate 106 isolates the sample detection port 7 from the light source 2, and when the output shaft of the first flip motor 104 rotates a certain angle away from the center of the irradiation catheter 9, the first isolation plate 106 is received in the first groove 102, the first fixing plate 103 can be set to an arc shape to match the shape of the first flip motor 104, and the second fixing plate 105 can be set to have a cylindrical top and fixedly sleeved on the output shaft of the first flip motor 104.

[0059] In the above technical solution, a method for implementing the light source isolation module 10 is provided, wherein the first receiving hole 11 is used to install the first mounting block 101, and the first groove 102 is used to accommodate the first flip motor 104 and the first isolation plate 106, so as to prevent the two from extending into the irradiation conduit 9 and blocking the excitation light emitted by the light source 2. After the photosensitive oxidation reaction is completed, the first flip motor 104 is started to drive the first isolation plate 106 to rotate upward by a certain angle (such as 90°), and the first isolation plate 106 can be horizontally isolated in the irradiation conduit 9, so that the light emitted by the light source 2 cannot irradiate the sample detection port 7, thereby achieving the purpose of blocking the noise signal of the light source 2 and improving the detection accuracy.

[0060] In another technical solution, the signal acquisition module includes a signal acquisition tube 12 which is vertically arranged and whose lower port is connected to both the sample detection port 7 and the irradiation catheter 9, a signal acquisition module which is sealed and arranged on the top of the signal acquisition tube 12 and interacts with the overall control module 3, and a signal isolation module 13 which is arranged on the signal acquisition tube 12 and interacts with the overall control module 3, wherein the signal acquisition module includes a photomultiplier tube 14 for collecting biological ultra-weak luminescence signals, a refrigeration unit for cooling the signal acquisition tube 12 and the photomultiplier tube 14, and a signal control unit for controlling the operation of the photomultiplier tube 14, and the signal isolation module 13 is used to isolate the sample detection port 7 and the photomultiplier tube 14 at a timely manner.

[0061] In the above technical solution, the signal acquisition module is used to collect the biological ultra-weak luminescence signal emitted by the sample after the photosensitive oxidation, and convert it into an electrical signal form and transmit it to the host computer 4. Therefore, in order to enable the signal acquisition module to accurately collect the biological ultra-weak luminescence signal of the sample as needed, a signal acquisition tube 12 is set, and the lower end of the signal acquisition tube 12 is connected with the sample detection port 7. The biological ultra-weak luminescence is emitted in the signal acquisition tube 12 along the area range defined by the signal acquisition tube 12, so as to be accurately emitted to the photomultiplier tube 14 located on the signal acquisition tube 12, and the influence of external natural light is also avoided. The photomultiplier tube 14 enhances the collected biological ultra-weak luminescence signal and transmits it to the host computer 4. The refrigeration unit is controlled by the overall control module 3. After receiving the instruction of the overall control module 3, the refrigeration unit is controlled to start, and the signal collection tube 12 and the photomultiplier tube 14 are cooled and dissipated, so that the photomultiplier tube 14 works under constant temperature conditions. The signal control unit controls the photomultiplier tube 14 to collect the biological ultra-weak luminescence signal from the sample to be detected in the sample detection port 7 within a certain time after the light source 2 of the light source irradiation module is turned off. The signal isolation module 13 is used to timely isolate the sample detection port 7 and the photomultiplier tube 14, so as to avoid detection errors caused by stray light signals entering the photomultiplier tube 14 when the light source 2 irradiates the sample.

[0062] In another technical solution, a second receiving hole is provided on the side wall of the signal collection tube 12;

[0063] The signal isolation module 13 includes a second mounting block 131 whose sealing cover is arranged in the second accommodating hole, a second groove 132 opened on the second mounting block 131, a second flip motor 133 fixed to the top of the second groove 132 through a third fixing plate, and a second isolation plate 134 fixed to the output shaft of the second flip motor 133 through a fourth fixing plate, wherein the output shaft of the second flip motor 133 is perpendicular to the axial direction of the signal acquisition tube 12, when the output shaft of the second flip motor 133 rotates a certain angle toward the center of the signal acquisition tube 12, the second isolation plate 134 timely isolates the sample detection port 7 and the photomultiplier tube 14, when the output shaft of the second flip motor 133 rotates a certain angle away from the center of the signal acquisition tube 12, the second isolation plate 134 is received in the second groove 132, the third fixing plate can be set to an arc shape to match the shape of the second flip motor 133, and the fourth fixing plate can be set to have a cylindrical top and fixedly sleeved on the output shaft of the second flip motor 133.

[0064] In the above technical solution, a method for implementing the signal isolation module 13 is provided, wherein the second receiving hole is used to install the second mounting block 131, and the second groove 132 is used to accommodate the second flip motor 133 and the second isolation plate 134, so as to prevent the two from extending into the signal collection tube 12 and blocking the biological ultra-weak luminescence of the sample. Before the photomultiplier tube 14 collects the signal, the second flip motor 133 is started to drive the second isolation plate 134 to rotate upward by a certain angle (such as 90°), and the second isolation plate 134 can be horizontally separated in the signal collection tube 12, so as to prevent the detection error caused by the stray light signal entering the photomultiplier tube 14 when the light source 2 irradiates the sample, thereby improving the detection accuracy.

[0065] When the photomultiplier tube 14 needs to collect signals, the second flip motor 133 is started to drive the second isolation plate 134 to rotate downward by a certain angle (for example, 90°), and the second isolation plate 134 can be stored in the second groove 132, so that the biological ultra-weak luminescence of the sample can smoothly enter the collection range of the photomultiplier tube 14.

[0066] In another technical solution, the signal collection tube 12 is intersected and communicated with the lower end of the irradiation catheter 9 , and the axis centers of the signal collection tube 12 and the irradiation catheter 9 intersect at the center of the sample detection port 7 .

[0067] In the above technical scheme, when using the device to detect samples, the container containing the sample to be tested is placed in the detection tray 6, the detection tray 6 is placed below the sample detection port 7, the sample detection port 7 is arranged in the middle of the sample holding chamber 1, the signal acquisition tube 12 and the irradiation catheter 9 are at a certain angle, the light source 2 and the photomultiplier tube 14 are arranged at a certain angle, and the intersection point of the two is the center position of the sample detection port 7, so as to achieve mutual matching of the middle area position of the sample to be detected, the irradiation center line of the light source 2, and the biological ultra-weak luminescence signal collection center line, thereby obtaining accurate biological ultra-weak luminescence signals, laying the foundation for subsequent frozen-thaw meat identification.

[0068] In another technical solution, it also includes a light source mounting plate 16 with a sealing cover disposed on the upper end of the irradiation conduit 9 and a light source mounting tube 17 disposed on the light source mounting plate 16. The light source mounting tube 17 is located in the irradiation conduit 9, and the light source 2 and the light source control unit are installed on the light source mounting tube 17.

[0069] In the above technical solution, a method for installing the light source 2 and the light source control unit is provided, the light source installation tube 17 extends into the irradiation conduit 9, and a mounting hole can be provided for installing the light source 2, so that the light source 2 is stably installed in the irradiation conduit 9. The light source installation plate 16 covers the top of the irradiation conduit 9, so that the light source installation tube 17 will not fall into the irradiation conduit 9, and it is also convenient for the replacement and maintenance of the light source 2.

[0070] In another technical solution, it also includes a collection mounting plate 18 with a sealing cover disposed on the upper end of the signal collection tube 12 and a collection mounting tube 15 disposed on the collection mounting plate 18. The collection mounting tube 15 is located in the signal collection tube 12, and the photomultiplier tube 14 and the signal control unit are installed on the collection mounting tube 15.

[0071] In the above technical solution, a method for installing the photomultiplier tube 14 and the refrigeration unit is provided, the collection installation tube 15 extends into the signal collection tube 12, and a mounting hole can be provided for installing the photomultiplier tube 14 and the signal control unit, so that the photomultiplier tube 14 and the signal control unit are embedded in the collection installation tube 15. The collection installation plate 18 covers the top of the signal collection tube 12, so that the collection installation tube 15 will not fall into the signal collection tube 12, and it is also convenient for the replacement and maintenance of the photomultiplier tube 14 and the signal control unit.

[0072] The method for establishing the qualitative identification model of fresh dish raw meat and frozen-thawed meat specifically includes:

[0073] Preparing a plurality of fresh raw meat samples and a plurality of frozen-thawed meat samples, and obtaining corresponding biological ultra-weak luminescence signals respectively, establishing corresponding biological ultra-weak luminescence kinetic curves and attenuation kinetic function models, wherein a freeze-thaw number gradient of the plurality of groups of frozen-thawed meat samples is set;

[0074] Physical and chemical detection methods were used to detect the total carbonyl content, total aldehyde compound content, total carboxylic acid and derivative content, and total keto compound content of the corresponding fresh raw meat samples and the corresponding frozen-thawed meat samples before and after photosensitive oxidation;

[0075] Based on the attenuation kinetic function model, the changes in optical parameters are correlated with the total keto compound content, the total carboxylic acid and derivative content, and the total aldehyde compound content, and the carbonyl species and content with high correlation are screened out, that is, sensitive carbonyl groups are obtained;

[0076] The physical and chemical detection method detects the type and content of sensitive carbonyl compounds, and calculates the corresponding weight ratio, group ratio relationship, and initial content;

[0077] Based on the change of the optical parameters of the attenuation kinetic function model and the type and content of the compound with sensitive carbonyl, the corresponding weight ratio, the group ratio relationship, the initial content, the change rate and the change difference, a correlation analysis is performed to screen out the optical parameters with high correlation and / or the combination function of the optical parameters, that is, the specific optical parameters and / or establish a sensitivity combination function, wherein the sensitivity combination function is a function formed by mathematical operations of multiple optical parameters;

[0078] Based on specific optical parameters and / or sensitivity combination functions, as well as corresponding sensitive carbonyl types, weight ratios, group ratio relationships, initial contents, change rates, and change differences, Fisher linear discriminant or support vector machine qualitative discriminant methods are used to model the fresh dish raw meat and frozen-thawed meat qualitative identification model; and,

[0079] Based on specific optical parameters and / or sensitivity combination functions, as well as the corresponding sensitive carbonyl types, weight ratios, group ratio relationships, initial contents, change rates and change differences, principal component analysis, partial least squares discriminant analysis and orthogonal partial least squares discriminant analysis methods are used to model the frozen-thaw meat freeze-thaw times identification model.

[0080] In the above technical solution, the modeling process includes:

[0081] 1.1 Collecting ultra-weak biological luminescence signals of samples:

[0082] The detection device of the present invention is used to detect biological ultra-weak luminescence signals of 150 samples, including 30 fresh raw meats and frozen-thawed meats with freeze-thaw times ranging from 1 to 30 times, 4 samples for each time, and a total of 120 samples.

[0083] 1.2 Determine the optical parameters:

[0084] After obtaining the biological ultra-weak luminescence curve of the sample to be tested after oxidation for a period of time under photosensitivity conditions, the biological ultra-weak luminescence kinetic curve of the sample is analyzed with light intensity-time as the parameter, the characteristics of the decay function curve are clarified, and the optimal decay kinetic model is determined by exponential function, curve function or quantum function combined with correlation coefficient R. The 1stOpt numerical processing software is combined with the least squares algorithm and the general global optimization algorithm to solve the optimal optical parameters, including the decay time T 衰变 , initial slope S 斜率 , spontaneous photon intensity I SL , total light intensity I(T), average light intensity I 平均 Etc., using these optical parameters to jointly analyze the optimal decay kinetics of ultra-weak luminescence after meat oxidation. The luminescence law after photosensitized oxidation conforms to the characteristics of biological delayed luminescence. Taking the curve decay model as an example, the definitions of the above parameters are as follows:

[0085] Real-time light intensity of biological ultra-weak luminescence I(t):

[0086] It is defined as the kinetic change law of the decay of the biological ultra-weak luminescence intensity over time after the end of light oxidation, as shown in formula (1).

[0087]

[0088] Total light intensity I(T):

[0089] Defined as the total light intensity I(t) integrated over time T

[0090]

[0091] The three parameters I0, τ, and β in the formula are obtained by fitting the biological ultra-weak luminescence curve with the corresponding attenuation function, and have clear physical meanings. I0 represents the initial intensity parameter, which depends on the properties of the sample to be tested and is also related to the illumination conditions. τ is the characteristic time, which is only related to the properties of the sample to be tested. β is the attenuation factor, which represents the attenuation rate. SL represents the luminescence intensity of spontaneous photons in the absence of light source, and T represents the total time of biological ultra-weak luminescence.

[0092] Decay time T 衰变 :

[0093] It is defined as the time taken for the light intensity I(t) to decay to 1 / M (M is 2 or 3) of the initial light intensity I0, as shown in formula (3).

[0094]

[0095] In the formula, I0 represents the initial intensity parameter, τ is the characteristic time, β is the attenuation factor, and I SL It represents the luminous intensity of spontaneous photons when there is no light source, and both are measurable parameters.

[0096] Initial slope S 斜率 :

[0097] It is defined as the rate of change of the biological ultra-weak luminescence intensity I(t) at time zero (t = 0), as shown in formula (4),

[0098]

[0099] As shown in formula (2), I0 represents the initial intensity parameter, τ is the characteristic time, and β is the attenuation factor, all of which are measurable parameters.

[0100] Average intensity I 平均 :

[0101] It is defined as the average biological ultra-weak luminescence intensity in the T time period, as shown in formula (5),

[0102]

[0103] Where T is the total time of biological ultra-weak luminescence, I(T) is the total light intensity within T time, and all of them are measurable parameters obtained by formula (2).

[0104] After obtaining the above optical parameters, the luminous intensity I of the spontaneous photons without light source is calculated using the initial intensity parameter I0, characteristic time τ, attenuation factor β, and SLThe parameters obtained from the decay curve fitting can directly establish the correlation with the changes in the physical and chemical indicators or structure of the meat, and can also be used to determine the decay time T 衰变 , initial slope S 斜率 , spontaneous photon intensity I SL , total light intensity I(T), average light intensity I 平均 By coupling several optical parameters with each other or constructing new functions to confirm the correlation with the internal physical and chemical indicators of meat products, a prediction and discrimination model corresponding to biological ultra-weak luminescence and physical and chemical indicators is established.

[0105] 1.3 Determination of sensitive carbonyl groups after photosensitized oxidation of samples:

[0106] Studies have shown that biological ultra-weak luminescence technology can be used to measure changes in meat quality, and the de-excitation luminescence of excited carbonyl compounds in organisms is the main source of biological ultra-weak luminescence. The de-excitation of these compounds will produce spectra of different wavelengths, which can reflect the sensitive changes in the internal components of the organism. Compared with fresh meat, frozen-thawed meat has different oxidation degrees. The content and types of carbonyl compounds that respond to biological ultra-weak luminescence after protein oxidation are also different. Under the same photosensitive oxidation conditions, the corresponding biological ultra-weak luminescence kinetics produced by carbonyl compounds will also be significantly different. This is the principle and basis for identifying fresh meat from frozen-thawed meat based on biological ultra-weak luminescence technology that responds to changes in carbonyl content. At present, there are many types of carbonyl compounds after meat protein oxidation. The known types of carbonyl compounds include ketones, aldehydes and carboxylic acids. Screening out sensitive carbonyl compounds that respond to biological ultra-weak luminescence from these major categories of carbonyl compounds is conducive to establishing a stable evaluation model for identifying fresh meat from frozen-thawed meat, and a flow chart for the determination of physical and chemical indicators of carbonyl content in oxidized meat.

[0107] First, extract myofibrils from the raw meat of the dish to be tested, prepare a protein solution, and divide it into 3 equal parts:

[0108] ① The total carbonyl group content of the first protein solution was determined by ultraviolet absorbance method and calculated as (C=O) 总羰基基团含量 ;

[0109] ② The second protein solution is directly neutralized and titrated with standard alkali solution KOH or NaOH solution, with thymolphthalein as the indicator. The final amount of alkali solution consumed is the content of carboxylic acid and its derivatives in the protein solution (nmol·mg -1 Protein), calculated as (COOH) 总羧酸及衍生物基团含量 ;

[0110] ③ The third portion of protein solution was determined by the method of hydroxylamine hydrochloride-potentiometric titration for total aldehyde content. 0.25 mol / L hydroxylamine hydrochloride solution was slowly added to the protein solution, and it was continuously stirred to dissolve into a uniform solution, and the acidity was measured in real time until the acidity remained unchanged after a certain volume of hydroxylamine hydrochloride solution was added, indicating that the aldehyde group in the protein solution reacted completely with hydroxylamine hydrochloride to generate hydrochloric acid. At this time, methyl orange indicator was added, and 0.1 mol / L alkali solution was continuously added for neutralization. The amount of alkali solution consumed was the total acid content in the protein solution. The total content of carboxylic acid and its derivatives (COOH) 总羧酸及衍生物基团含量 It has been calculated, so the aldehyde group content in the protein solution is deducted from the total alkali content minus the carboxylic acid and derivative consumption, which is recorded as aldehyde group (CHO) 总醛基基团含量 .

[0111] ④Total keto group content (R-(C=O)-R) 总酮基基团含量 is the difference between the total carbonyl content and the total aldehyde content and the total carboxyl content, satisfying formula (6)

[0112] (R-(C=O)-R) 总酮基基团含量 =(C=O) 总羰基基团含量 -(COOH) 总羧酸及衍生物基团含量 -(CHO) 总醛基基团含量 ----Formula (6)

[0113] According to the above results, the total content in the raw meat sample to be tested is 3 times the content of the relevant groups in each solution. After obtaining the total amount of several carbonyl groups, the sensitive carbonyl groups related to the composition differences of the raw meat of the dish are screened by using the specific changes of biological ultra-weak spectra and optical parameters. Then, the gas / liquid chromatography-mass spectrometry method is used to determine the specific types and contents of carbonyl compounds in the sensitive groups (sensitive aldehyde compounds, sensitive ketone compounds, sensitive carboxylic acid compounds, sensitive carboxylic acid derivatives), which are used together with biological ultra-weak luminescence spectra and biological ultra-weak luminescence optical parameters to establish a discrimination model for fresh meat and frozen-thawed meat of dish ingredients.

[0114] 1.4 Build the model:

[0115] Qualitative discrimination methods such as Fisher linear discriminant or support vector machine are used, combined with the initial intensity parameter I0, characteristic time τ, attenuation factor β, and spontaneous photon luminescence intensity I in the absence of light source in the optical parameters. SLThe parameters obtained from the attenuation curve fitting are directly correlated with the changes in the internal physicochemical indicators or structural changes of the meat (the content of sensitive carbonyl groups after photosensitive oxidation of the raw meat of the dish, the total carbonyl content, the proportion of each group, etc.), among which the initial intensity parameter I0 can represent the initial total content of the internal active physicochemical carbonyl groups after photosensitive oxidation, the characteristic time τ represents the mutual influence relationship of several carbonyl groups in the physicochemical indicators, the attenuation factor β represents the change of the carbonyl group, and the luminescence intensity of the spontaneous photon in the absence of light source I SL represents the carbonyl group content when there is no photosensitive oxidation. The qualitative identification model of fresh dish raw meat and frozen-thawed meat is obtained.

[0116] It can also be expressed by the decay time T 衰变 , initial slope S 斜率 , spontaneous photon intensity I SL , total light intensity I(T), average light intensity I 平均 The correlation between several optical parameters such as the optical parameter and the internal physical and chemical indicators of meat is confirmed by coupling or constructing new functions, and the freezing and thawing times identification model of frozen-thawed meat is obtained by adopting principal component analysis, partial least squares discriminant analysis and orthogonal partial least squares discriminant analysis methods.

[0117] Although the embodiments of the present invention have been disclosed as above, they are not limited to the applications listed in the specification and the implementation modes, and they can be fully applied to various fields suitable for the present invention. For those familiar with the art, additional modifications can be easily implemented. Therefore, without departing from the general concept defined by the claims and the scope of equivalents, the present invention is not limited to the specific details and the illustrations shown and described herein.

Claims

1. A device for identifying fresh raw meat and frozen-thawed meat based on ultra-weak luminescence, characterized in that: include: A sample detection module, which has a sample holding chamber, wherein the sample holding chamber is used to place a sample to be detected; A light source irradiation module is disposed above the sample holding chamber, and the light source irradiation module has a light source for generating excitation light, and the light source is used to irradiate the excitation light to the sample to be tested; A signal acquisition module is disposed above the sample holding chamber, and is used to acquire the biological ultra-weak luminescence signal emitted by the sample to be tested after being irradiated with the excitation light; An overall control module, which is used to control the operation of the light source illumination module and the signal acquisition module; The host computer is used to receive the collected biological ultra-weak luminescence signals, perform data processing and analysis on the biological ultra-weak luminescence signals to obtain corresponding optical parameters, and input them into the built-in qualitative identification model of fresh dish raw meat and frozen-thawed meat, and output the identification results, wherein the qualitative identification model of fresh dish raw meat and frozen-thawed meat is based on specific optical parameters or sensitivity combination functions, and the corresponding sensitive carbonyl types, weight ratios, group ratio relationships, and initial contents are modeled using Fisher linear discriminant or support vector machine qualitative discrimination methods, wherein the optical parameters include decay time T 衰变 , initial slope S 斜率 , spontaneous photon intensity Total light intensity , average light intensity I 平均 .

2. The device for identifying fresh raw meat and frozen-thawed meat based on ultra-weak luminescence according to claim 1, characterized in that: The host computer also includes a built-in freeze-thaw times identification model for frozen-thawed meat, which is used to receive the optical parameters after data processing and analysis by the host computer, and output the freeze-thaw times identification result.

3. The device for identifying fresh raw meat and frozen-thawed meat based on ultra-weak luminescence according to claim 1, characterized in that: The sample detection module includes a supporting base, the sample holding chamber opened on the side wall of the supporting base, a pull-out detection tray adapted to the sample holding chamber, and a sample detection port opened on the top of the supporting base and communicating with the sample holding chamber. The sample detection port, the detection tray and the sample holding chamber correspond to each other one by one and match each other, wherein a handle is provided on the outer side wall of the sample detection tray.

4. The device for identifying fresh raw meat and frozen-thawed meat in dishes based on ultra-weak luminescence according to claim 3, characterized in that: The light source irradiation module includes an irradiation catheter which is arranged obliquely and whose lower port is connected to the sample detection port, the light source is sealed at the upper port of the irradiation catheter, a light source control unit which interacts with the overall control module, and a light source isolation module which is arranged on the irradiation catheter and interacts with the overall control module, wherein the light source control unit includes a driving module and a cooling and heat dissipation module, wherein the driving module is used to control the wavelength and duration of the excitation light emitted by the light source, the cooling and heat dissipation module is used for cooling and heat dissipation, and the light source isolation module is used to isolate the sample detection port and the light source at a selected time.

5. The device for identifying fresh raw meat and frozen-thawed meat based on ultra-weak luminescence according to claim 4, characterized in that: A first accommodating hole is provided on the side wall of the irradiation conduit; The light source isolation module includes a first mounting block with a sealing cover disposed in the first accommodating hole, a first groove opened on the first mounting block, a first flip motor fixed to the top of the first groove through a first fixing plate, and a first isolation plate fixed to the output shaft of the first flip motor through a second fixing plate, wherein the output shaft of the first flip motor is perpendicular to the axial direction of the irradiation catheter, when the output shaft of the first flip motor rotates a certain angle toward the center of the irradiation catheter, the first isolation plate separates the sample detection port from the light source, and when the output shaft of the first flip motor rotates a certain angle away from the center of the irradiation catheter, the first isolation plate is received in the first groove.

6. The device for identifying fresh raw meat and frozen-thawed meat based on ultra-weak luminescence according to claim 4, characterized in that: The signal acquisition module includes a signal acquisition tube which is vertically arranged and whose lower port is connected to the sample detection port and the irradiation catheter, a signal acquisition module which is sealed and arranged on the top of the signal acquisition tube and interacts with the overall control module, and a signal isolation module which is arranged on the signal acquisition tube and interacts with the overall control module, wherein the signal acquisition module includes a photomultiplier tube for collecting biological ultra-weak luminescence signals, a refrigeration unit for refrigeration, and a signal control unit for controlling the operation of the photomultiplier tube, and the signal isolation module is used to isolate the sample detection port and the photomultiplier tube at a selected time.

7. The device for identifying fresh raw meat and frozen-thawed meat based on ultra-weak luminescence according to claim 6, characterized in that: A second accommodating hole is provided on the side wall of the signal acquisition tube; The signal isolation module includes a second mounting block with a sealing cover disposed in the second accommodating hole, a second groove opened on the second mounting block, a second flip motor fixed to the top of the second groove through a third fixing plate, and a second isolation plate fixed to the output shaft of the second flip motor through a fourth fixing plate, wherein the output shaft of the second flip motor is perpendicular to the axial direction of the signal acquisition tube, when the output shaft of the second flip motor rotates a certain angle toward the center of the signal acquisition tube, the second isolation plate timely isolates the sample detection port from the photomultiplier tube, and when the output shaft of the second flip motor rotates a certain angle away from the center of the signal acquisition tube, the second isolation plate is received in the second groove.

8. The device for identifying fresh raw meat and frozen-thawed meat in dishes based on ultra-weak luminescence according to claim 6, characterized in that: The signal collection tube is intersected and communicated with the lower port of the irradiation catheter, and the axis centers of the signal collection tube and the irradiation catheter intersect at the center of the sample detection port.

9. The device for identifying fresh raw meat and frozen-thawed meat in dishes based on ultra-weak luminescence according to claim 8, characterized in that: It also includes a light source mounting plate with a sealing cover disposed on the upper end of the irradiation conduit and a light source mounting tube disposed on the light source mounting plate, the light source mounting tube is located in the irradiation conduit, and the light source and the light source control unit are mounted on the light source mounting tube; It also includes a collection installation plate with a sealing cover disposed on the upper end of the signal collection tube and a collection installation tube disposed on the collection installation plate. The collection installation tube is located in the signal collection tube, and the photomultiplier tube and the signal control unit are installed on the collection installation tube.

10. A method for identifying fresh raw meat and frozen-thawed meat in dishes based on ultra-weak luminescence, characterized in that: The following steps are involved: The device according to any one of claims 1 to 9 is used to detect and obtain the biological ultra-weak luminescence signal of the sample after being oxidized for a certain period of time under photosensitive conditions; Based on the biological ultra-weak luminescence signal, the light intensity-time is used as the parameter to analyze and establish the biological ultra-weak luminescence kinetic change law of the sample, and the attenuation kinetic function model of each optical parameter is established. Then, the optimal attenuation kinetic function model of each optical parameter is determined by the correlation coefficient, and the variables of the optimal attenuation kinetic function model are analyzed to obtain the optimal optical parameters. The obtained optimal optical parameters are input into a qualitative identification model of fresh dish raw meat and frozen-thawed meat established based on the corresponding optical parameters, and the identification results are output; The obtained optimal optical parameters are input into a freeze-thaw times identification model for frozen-thawed meat established based on the corresponding optical parameters, and the identification results are output; Among them, the method for establishing the qualitative identification model of fresh dish raw meat and frozen-thawed meat and the method for establishing the freezing-thaw times identification model of frozen-thawed meat specifically include: Preparing a plurality of fresh raw meat samples and a plurality of frozen-thawed meat samples, and obtaining corresponding biological ultra-weak luminescence signals respectively, establishing corresponding biological ultra-weak luminescence kinetic curves and attenuation kinetic function models, wherein a freeze-thaw number gradient of the plurality of groups of frozen-thawed meat samples is set; Physical and chemical detection methods were used to detect the total carbonyl content, total aldehyde compound content, total carboxylic acid and derivative content, and total keto compound content of the corresponding fresh raw meat samples and the corresponding frozen-thawed meat samples before and after photosensitive oxidation; Based on the attenuation kinetic function model, the changes in optical parameters are correlated with the total keto compound content, the total carboxylic acid and derivative content, and the total aldehyde compound content, and the carbonyl species and content with high correlation are screened out, that is, sensitive carbonyl groups are obtained; The physical and chemical detection method detects the type and content of sensitive carbonyl compounds, and calculates the corresponding weight ratio, group ratio relationship, and initial content; Based on the change of the optical parameters of the attenuation kinetic function model and the type and content of the compound with sensitive carbonyl, the corresponding weight ratio, the group ratio relationship, the initial content, the change rate and the change difference, a correlation analysis is performed to screen out the optical parameters with high correlation and / or the combination function of the optical parameters, that is, the specific optical parameters and / or establish the sensitivity combination function, wherein the sensitivity combination function is a function formed by mathematical operation of multiple optical parameters; Based on specific optical parameters and / or sensitivity combination functions, as well as corresponding sensitive carbonyl types, weight ratios, group ratio relationships, initial contents, change rates, and change differences, Fisher linear discriminant or support vector machine qualitative discriminant methods are used to model the fresh dish raw meat and frozen-thawed meat qualitative identification model; and, Based on specific optical parameters and / or sensitivity combination functions, as well as the corresponding sensitive carbonyl types, weight ratios, group ratio relationships, initial contents, change rates and change differences, principal component analysis, partial least squares discriminant analysis and orthogonal partial least squares discriminant analysis methods are used to model the frozen-thaw meat freeze-thaw times identification model.

Images