Color detection method for dehydrated fruits and vegetables
By processing dehydrated fruits and vegetables into granular samples and cakes, and then using a colorimeter for detection, the subjective nature of color detection in dehydrated fruits and vegetables is solved, enabling scientific and objective color evaluation, simplifying the operation and reducing costs.
Patent Information
- Application Number
- CN202511158236.2
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-08-18
- Publication Date
- 2025-11-11
AI Technical Summary
In existing technologies, the color detection of dehydrated fruits and vegetables relies on manual visual inspection, which is highly subjective, has large differences in judgment standards, makes it difficult to achieve accurate and objective evaluation, and affects the reliability of the overall data.
Dehydrated vegetables and/or dehydrated fruits are made into granular samples, then into cakes, and a colorimeter is used to detect the reflected color to obtain L, a, and b color data, thus achieving a scientific and objective color evaluation.
By processing samples into granules and cakes, the subjectivity of manual evaluation is overcome, providing accurate and stable color detection results, simplifying operations and reducing costs, and supporting the quality evaluation of dehydrated fruits and vegetables.
Smart Images
Figure CN120927587A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of food testing, and in particular to a method for detecting the color of dehydrated fruits and vegetables. Background Technology
[0002] Color is one of the important evaluation indicators for the quality of dehydrated vegetables and fruits. Currently, the evaluation of the color of dehydrated vegetables and fruits mainly relies on manual observation, which has problems such as strong subjectivity and large differences in judgment standards among different people, thus hindering the overall data evaluation.
[0003] Specifically, in existing technologies, the color detection of dehydrated vegetables and fruits typically relies on manual visual assessment. However, manual visual assessment suffers from drawbacks such as strong subjectivity and significant differences in judgment standards among different individuals, making it difficult to provide accurate and objective color evaluations and affecting the reliability of the overall data. Therefore, there is an urgent need to develop a scientific and objective method for color detection of dehydrated vegetables and / or fruits to avoid the subjectivity of manual assessment, improve the accuracy of color evaluation, and provide a reliable basis for overall data evaluation. Summary of the Invention
[0004] To address the aforementioned technical problems, this invention provides a color detection method for dehydrated fruits and vegetables, overcoming the shortcomings of existing color detection methods for dehydrated fruits and vegetables, such as strong subjectivity and large differences in judgment standards.
[0005] This invention provides a method for detecting the color of dehydrated fruits and vegetables, comprising:
[0006] Prepare granular samples from dehydrated vegetables and / or dehydrated fruits;
[0007] The particle sample was prepared into a cake-like shape;
[0008] Colorimetric detection is performed on the cake-like material to obtain the color detection results of the dehydrated vegetables and / or dehydrated fruits.
[0009] Optionally, the particle size of the particulate sample is 20 mesh to 40 mesh.
[0010] Optionally, the mass of the cake-like substance is 5g-10g.
[0011] Optionally, the disc-shaped object is a cylinder with a diameter of 40mm-60mm and a thickness of 5mm-13mm.
[0012] Optionally, the process of forming dehydrated vegetables and / or dehydrated fruits into granular samples includes:
[0013] The dehydrated vegetables and / or dehydrated fruits are pulverized using a grinder to obtain the granular sample.
[0014] Optionally, the step of forming the particulate sample into a cake-like form includes:
[0015] A certain mass of particulate sample is placed into a sample press and pressed into a cake shape. The sample press is set with a pressure value of 25Kg~50Kg and a time of 5s~30s.
[0016] Optionally, the step of performing colorimetric detection on the cake-like object to obtain the color detection results of the dehydrated vegetables and / or dehydrated fruits includes:
[0017] The reflectance color of the cake-shaped object is detected using a colorimeter to obtain L, a, and b color data, thus obtaining the color detection results of the dehydrated vegetables and / or dehydrated fruits.
[0018] Optionally, the dehydrated fruits and vegetables are dried fruits and vegetables with a moisture content of <8wt%.
[0019] Optionally, the drying method is any one of microwave drying, infrared drying, or spray drying.
[0020] Optionally, the vegetable is any one of cabbage, bok choy, Chinese cabbage, and carrot; the fruit is any one of pear, apple, peach, apricot, banana, and cherry.
[0021] The color detection method for dehydrated fruits and vegetables provided in this invention has the following advantages compared with the prior art:
[0022] The color detection method for dehydrated vegetables and / or fruits of this invention involves preparing dehydrated vegetables and / or fruits into granular samples, then forming the granular samples into cake-like objects, and finally performing colorimetric detection on the cake-like objects to obtain the color detection results of the dehydrated vegetables and / or fruits. This method provides accurate and stable color detection results, overcoming the shortcomings of existing color detection methods for dehydrated vegetables and fruits, such as strong subjectivity and large differences in judgment standards. Furthermore, this method is simple to operate, low in cost, and easy to promote and apply, providing strong support for the quality evaluation of dehydrated vegetables and / or fruits. Attached Figure Description
[0023] Figure 1 This is a flowchart of the color detection method for dehydrated fruits and vegetables in an embodiment of the present invention.
[0024] Figure 2 This is a schematic diagram of the powder sample box used in this invention, wherein 10-powder sample box, 1-bottom cover, 2-pressing block, 3-sample ring, 4-glass plate, and 5-pressing cover.
[0025] Figure 3 This is a partial view of the sample after it has been crushed to different particle sizes in Experiment Example 1 of this invention. Detailed Implementation
[0026] As described in the background section, current technologies for color detection of dehydrated vegetables and fruits typically rely on manual visual assessment. However, manual visual assessment suffers from drawbacks such as strong subjectivity and significant differences in judgment standards among different individuals, making it difficult to provide accurate and objective color evaluations and affecting the reliability of the overall data. Therefore, there is an urgent need to develop a scientific and objective method for color detection of dehydrated vegetables and / or fruits to avoid the subjectivity of manual assessment, improve the accuracy of color evaluation, and provide a reliable basis for overall data evaluation.
[0027] To address the aforementioned technical problems, the color detection method for dehydrated vegetables and / or fruits provided in this invention involves preparing dehydrated vegetables and / or fruits into granular samples, then forming the granular samples into cake-like objects, and finally performing colorimetric detection on the cake-like objects to obtain the color detection results of the dehydrated vegetables and / or fruits. This detection method provides accurate and stable color detection results, overcoming the shortcomings of existing color detection methods for dehydrated vegetables and fruits, such as strong subjectivity and large differences in judgment standards. Furthermore, this method is simple to operate, low in cost, and easy to promote and apply, providing strong support for the quality evaluation of dehydrated vegetables and / or fruits.
[0028] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, the present invention will be described in detail below with reference to the accompanying drawings and specific embodiments.
[0029] The raw materials, samples, reagents, and equipment used in the color detection method for dehydrated fruits and vegetables described in this embodiment of the invention are all commercially available products and can be purchased on the market.
[0030] Among them, the sample press is manufactured by Hangzhou Tiancheng, model WGB-XL; the colorimeter is manufactured by Konica Minolta, model CR410; and the sieving device is manufactured by Maineng Machinery, model MN-200T.
[0031] Please refer to Figure 1 , Figure 1 This is a flowchart of the color detection method for dehydrated fruits and vegetables according to an embodiment of the present invention. The color detection method for dehydrated fruits and vegetables of the present invention includes the following steps.
[0032] S100, preparing dehydrated vegetables and / or dehydrated fruits into granular samples.
[0033] Optionally, in some embodiments, the vegetable is any one of cabbage, bok choy, Chinese cabbage, and carrot; the fruit is any one of pear, apple, peach, apricot, banana, and cherry.
[0034] Optionally, in some embodiments, the step of forming dehydrated vegetables and / or dehydrated fruits into granular samples includes:
[0035] The dehydrated vegetables and / or dehydrated fruits are pulverized using a grinder to obtain the granular sample.
[0036] Optionally, in some embodiments, the dehydrated vegetables are dried dehydrated vegetables with a moisture content of <8 wt%, which can be measured by the direct drying method according to GB 5009.3. It should be noted that excessively high moisture content in dehydrated vegetables affects the pulverization effect and makes it impossible to pulverize them into smaller particles for subsequent testing.
[0037] Optionally, in some embodiments, the drying method is any one of microwave drying, infrared drying, or spray drying.
[0038] S200, the particulate sample is made into a cake.
[0039] Optionally, in some embodiments, the particle size of the particulate sample is 20-40 mesh. It should be noted that the particle size can be obtained by sieving using a sieving device. The inventors have found through research that selecting particulate samples with a particle size of 20-40 mesh is most representative of the original color of the sample to be tested, resulting in accurate and objective color evaluation results.
[0040] Optionally, in some embodiments, the mass of the cake is 5g-10g.
[0041] Optionally, the step of forming the particulate sample into a cake-like form includes:
[0042] A certain mass of granular sample is placed into a sample press and pressed into a cake shape. The sample press is set with a pressure of 25 kg to 50 kg and a pressing time of 5 to 30 seconds. It should be noted that the inventors have found through research that the pressing force of the granules is crucial to the subsequent test results. The force used each time must be consistent to ensure representativeness. If the pressure is too high or too low, the sample may not maintain its cylindrical shape when flipped after being pressed into a cake shape in the powder sample box, resulting in poor repeatability of subsequent results.
[0043] Optionally, in some embodiments, the disc-shaped object is a cylinder with a diameter of 40mm-60mm and a thickness of 5mm-13mm.
[0044] S300, perform colorimetric detection on the cake-like material to obtain the color detection results of the dehydrated vegetables and / or dehydrated fruits.
[0045] Optionally, the step of performing colorimetric detection on the cake-like object to obtain the color detection results of the dehydrated vegetables and / or dehydrated fruits includes:
[0046] The reflectance color of the cake-shaped object is detected using a colorimeter to obtain L, a, and b color data, thus obtaining the color detection results of the dehydrated vegetables and / or dehydrated fruits.
[0047] This invention, through the use of a colorimeter to detect the reflected color of the cake-shaped object, achieves a scientific and objective evaluation of the color of dehydrated vegetables and / or dehydrated fruits. This overcomes the problem of large differences in judgment standards among different personnel, unifies color evaluation standards, and is conducive to the consistency and comparability of overall data.
[0048] Example 1
[0049] 1. Sample to be tested
[0050] Dehydrated cabbage was prepared by washing, cutting, draining, adding sugar, hot air drying, sorting, and metal detection of fresh cabbage, without using any greening additives. A total of 28 samples of this dehydrated cabbage were collected, from different manufacturers and batches.
[0051] 2. Equipment
[0052] Powder sample box 10, such as Figure 2 As shown, the powder sample box includes a bottom cover 1, a pressing block 2, a sample ring 3, a glass plate 4, and a pressing cap 5. The pressing cap 5 can accommodate the glass plate 4. The sample ring 3 is threadedly connected to the pressing cap 5. The pressing block 2 can cover the middle ring of the sample ring 3, and the bottom cover 1 can cover the sample ring 3. The method of using the powder sample box 10 is as follows: place the glass plate 4 (rough side up) in the pressing cap 5, then place the sample ring 3 and tighten it. Pour the particulate sample into the powder sample box 10, shake it to fill the powder sample box 10 with particulate matter, then place the pressing block 2 on the particulate sample, and then put the assembled powder sample box 10 into the sample press slot. Set the force to 25 kg and press for 20 seconds for pressing. After completion, remove the powder sample box, remove the pressing block 2 and replace the bottom cover 1, then flip the powder sample box 10 vertically 180 degrees, unscrew the pressing cap 5, and remove the glass plate 4 to obtain a cake-shaped substance.
[0053] Sample press, manufacturer: Hangzhou Tiancheng, model WGB-XL.
[0054] Colorimeter, manufacturer: Konica Minolta, model: CR410.
[0055] Screening device, manufacturer: Maineng Machinery, model: MN-200T.
[0056] 3. Color detection method of the present invention
[0057] (1) Twenty-eight dehydrated cabbage samples were pulverized into granules using a grinder with a speed of 18,000 rpm and a time of 20 seconds.
[0058] (2) Start the screening device to vibrate and screen the particles at a frequency of 40 Hz, and collect the particles on the 20-40 mesh screen.
[0059] (3) Take 10g of 20-40 mesh particles and place them in the powder sample box. The specific procedure is as follows: Place a glass plate (rough side up) in the pressure cap, then place the sample ring and tighten it. Pour 10g of 20-40 mesh particles into the powder sample box, shake it to fill the powder sample box with particles, then place the pressure block on the particles, and then put the prepared powder sample box into the pressure plate slot. Set the force to 25Kg and press down for 20s for pressing. After completion, take out the powder sample box, remove the pressure block and cover the bottom cover, then flip the powder sample box vertically 180 degrees, unscrew the pressure cap, and take out the glass plate to obtain a cake-shaped object.
[0060] (4) After aligning the colorimeter sleeve with the powder sample box containing the cake, use the colorimeter to detect the reflected color of the cake. The colorimeter uses a D65 light source and the observation angle is 10 degrees. The color data of L, a, and b are obtained. The results are shown in Table 1.
[0061] 4. Existing color detection methods
[0062] The particles on the 20-40 mesh sieves were visually evaluated manually. The evaluation method was to sort them according to their greenness; the greener the overall perceived color, the higher the ranking. The results are shown in Table 1. In Table 1, L (brightness) represents the lightness or darkness of the color, ranging from 0 (pure black) to 100 (pure white); a (red-green axis) describes the color deviation in the red-green direction, with positive values indicating a bias towards red and negative values indicating a bias towards green; b (yellow-blue axis) describes the color deviation in the yellow-blue direction, with positive values indicating a bias towards yellow and negative values indicating a bias towards blue. It is used to quantify color differences (such as when ΔE<1, the human eye can hardly perceive the difference).
[0063] Table 1 Comparison of color detection results between existing technologies (manual visual inspection) and the color detection method of this invention.
[0064]
[0065] As shown in Table 1, the color detection method of this invention can scientifically and objectively evaluate the color of dehydrated cabbage, avoiding the subjectivity of manual visual judgment, unifying color evaluation standards, and providing a reliable basis for overall data assessment. A comparison of the color selection and ranking results by a professional sensory team and the color difference results of this method shows that the two results are basically consistent, proving that the colorimeter can accurately distinguish between samples with differences at the beginning and end of the sequence. This indicates that the color detection method of this invention can also be used to detect samples with small differences.
[0066] Comparative Example 1
[0067] In Comparative Example 1, the particle size used was the same as that of the dehydrated cabbage sample from Example 1, which was pulverized using a grinder. The pulverized sample was placed in a powder sample box, the grinder speed was 18000 rpm, and the time was 20 seconds. After the surface was smoothed, color difference was measured. Another pulverized sample from Example 1 was pulverized to a specific particle size (20-40 mesh) and placed in a powder sample box. The sample was then pressed under constant pressure and time before color difference measurement, ensuring repeatability of results for the same sample and resolution between different samples. Table 2 shows the results of five parallel tests using existing techniques and this method for dehydrated vegetables of different colors. In Table 2, Sample 1 and Sample 2 represent dehydrated cabbage of different colors. The results show that this method has higher data centrality, significantly improved color consistency, and significantly better test stability and repeatability than existing techniques.
[0068] Table 2. Color detection results of Comparative Example 1 and the present invention
[0069]
[0070] The results in parentheses in Table 2 are relative standard deviations.
[0071] Experimental Example 1
[0072] The following experiments will better illustrate the advantages of selecting 20-40 mesh particles in the embodiments of the present invention.
[0073] 1. Sample
[0074] Dehydrated cabbage is prepared by the following method: fresh cabbage is washed, shaped, drained, sugared, dried with hot air, sorted, and tested for metals, without the use of any greening additives.
[0075] 2. Equipment
[0076] The powder sample box is the same as in Example 1, and will not be described again here.
[0077] Sample press, manufacturer: Hangzhou Tiancheng, model WGB-XL.
[0078] Colorimeter, manufacturer: Konica Minolta, model: CR410.
[0079] Screening device, manufacturer: Maineng Machinery, model: MN-200T.
[0080] 3. Correlation analysis process
[0081] (1) After selecting and grading the dehydrated cabbage into four grades, namely outer green, light green, tender green and yellow-white, the cabbage was mixed in proportion and then pulverized into granules using a grinder at a speed of 18,000 rpm for 20 seconds. The proportions of the yellow-white grade were 30%, 25%, 20% and 15%, respectively, and the proportions of outer green, light green and tender green were 1:2:14.
[0082] (2) Start the screening device to vibrate and screen the particles at a frequency of 20 Hz, and collect the particles from the 100 mesh, 60-100 mesh, 40-60 mesh, and 20-40 mesh screens respectively (e.g. Figure 3 (As shown).
[0083] (3) Take 10g of particles of different sizes and put them into the powder sample box. The specific procedure is as follows: put a glass plate (rough side up) into the pressure cap, then put in the sample ring and tighten it. Pour 10g of particles of different sizes into the powder sample box, shake it to fill the powder sample box with particles, then place the pressure block on the particles, and then put the prepared powder sample box into the pressure plate slot. Set the force to 50Kg and press down for 5s for pressing. After completion, take out the powder sample box, remove the pressure block and cover the bottom cover, then flip the powder sample box vertically 180 degrees, unscrew the pressure cap, and take out the glass plate to obtain the cake-shaped objects.
[0084] (4) After aligning the colorimeter sleeve with the powder sample box containing the cake-shaped material, the colorimeter was used to detect the reflected color of the cake-shaped material of different particle sizes. The colorimeter used a D65 light source, and the observation angle was 10 degrees to obtain the color data of L, a, and b. Correlation analysis was performed on particles of different particle sizes, and the results are shown in Table 3. In Table 3, y is the greenness, which is the result of artificial mixing; L is the L result measured by the colorimeter; a is the a result measured by the colorimeter; and R² is the correlation of its fitted equation. According to the correlation analysis results in Table 3, the 20-40 mesh particles showed better correlation.
[0085] Table 3. Results of Correlation Analysis of Particulate Matter of Different Sizes
[0086]
[0087] While the present invention has been disclosed above, it is not limited thereto. Any person skilled in the art can make various modifications and alterations without departing from the spirit and scope of the invention; therefore, the scope of protection of the present invention should be determined by the scope defined in the claims.
Claims
1. A method for detecting the color of dehydrated fruits and vegetables, characterized in that, include: Prepare granular samples from dehydrated vegetables and / or dehydrated fruits; The particle sample was prepared into a cake-like shape; Colorimetric detection is performed on the cake-like material to obtain the color detection results of the dehydrated vegetables and / or dehydrated fruits.
2. The color detection method for dehydrated fruits and vegetables as described in claim 1, characterized in that, The particle size of the sample is 20-40 mesh.
3. The color detection method for dehydrated fruits and vegetables as described in claim 2, characterized in that, The mass of the cake-like substance is 5g-10g.
4. The color detection method for dehydrated fruits and vegetables as described in claim 3, characterized in that, The disc-shaped object is a cylinder with a diameter of 40mm-60mm and a thickness of 5mm-13mm.
5. The color detection method for dehydrated fruits and vegetables as described in claim 1, characterized in that, The process of preparing dehydrated vegetables and / or dehydrated fruits into granular samples includes: The dehydrated vegetables and / or dehydrated fruits are pulverized using a grinder to obtain the granular sample.
6. The color detection method for dehydrated fruits and vegetables as described in claim 1, characterized in that, The step of forming the particulate sample into a cake-like form includes: A certain mass of particulate sample is placed into a sample press and pressed into a cake shape. The sample press is set with a pressure value of 25Kg~50Kg and a time of 5s~30s.
7. The color detection method for dehydrated fruits and vegetables as described in claim 1, characterized in that, The step of performing colorimetric detection on the cake-like material to obtain the color detection results of the dehydrated vegetables and / or dehydrated fruits includes: The reflectance color of the cake-shaped object is detected using a colorimeter to obtain L, a, and b color data, thus obtaining the color detection results of the dehydrated vegetables and / or dehydrated fruits.
8. The color detection method for dehydrated fruits and vegetables as described in claim 1, characterized in that, The dehydrated fruits and vegetables are dried fruits and vegetables with a moisture content of <8wt%.
9. The color detection method for dehydrated fruits and vegetables as described in claim 8, characterized in that, The drying method is any one of microwave drying, infrared drying, or spray drying.
10. The color detection method for dehydrated vegetables as described in claim 1, wherein the vegetable is any one of cabbage, bok choy, Chinese cabbage, and carrot; and the fruit is any one of pear, apple, peach, apricot, banana, and cherry.