A method for tracing the origin of dendrobium and preventing counterfeiting

Abstract

The invention relates to a dendrobium origin tracing technology, which is used to solve the problem that consumers have difficulty in distinguishing the authenticity of dendrobium and use of counterfeit products affects their health. The invention specifically relates to a dendrobium origin tracing and anti-counterfeiting method, which comprises a sample collection module, a sample analysis module, an origin tracing module and an authenticity detection module. The invention uses the sample analysis module to perform data analysis and processing on appearance morphology detection, smell and taste detection, cross-section structure detection and chemical composition detection of dendrobium grown in four planting methods, so that the origin of dendrobium is traced through the four methods, the origin of dendrobium is obtained by comparing the detection results, and then the authenticity of dendrobium is determined by the authenticity detection module, so as to ensure that the dendrobium purchased by consumers is authentic, protect the rights and interests of consumers, prevent consumers from being harmed by counterfeit products, ensure food safety, prevent consumers from eating dendrobium containing harmful substances and affecting their health, crack down on counterfeit and counterfeit products, and maintain a fair and competitive market environment.

Description

Technical Field

[0001] The invention relates to a dendrobium origin tracing technology, in particular to a dendrobium origin tracing and anti-counterfeiting method. Background Art

[0002] Dendrobium is a traditional Chinese medicine that can nourish the stomach, nourish yin and clear away heat. Dendrobium has many flowers and a long flowering period, which makes it ornamental. The racemes are from the middle part of the old stem with leaves or fallen leaves. The petals are more or less oblique and broadly ovate, with green stamens and columns. The cap is purple-red and conical. The fruit of Dendrobium is a capsule, which is oblong or pear-shaped, with many tiny seeds. The flowering period is from April to May.

[0003] In the prior art, it is difficult for consumers to distinguish the authenticity of Dendrobium officinale. Fake and inferior Dendrobium officinale has safety problems such as pesticide residues and excessive heavy metals, which not only causes consumers to suffer economic losses, but also poses a threat to their health.

[0004] In view of the above technical problems, this application proposes a solution. Summary of the invention

[0005] The purpose of the present invention is to perform data analysis and processing on the appearance morphology detection, smell and taste detection, cross-section structure detection and chemical composition detection of dendrobium grown by four planting methods through a sample analysis module, so that the origin of dendrobium can be traced through four methods, the origin of dendrobium can be obtained by comparing the detection results, and then the authenticity of dendrobium can be determined by an authenticity detection module, so as to ensure that the dendrobium purchased by consumers is authentic, protect the rights and interests of consumers, prevent consumers from being harmed by counterfeit and inferior products, ensure food safety, prevent consumers from eating dendrobium containing harmful substances and affecting their health, crack down on counterfeit and inferior products, maintain a fair and competitive market environment, solve the problem that consumers have difficulty in distinguishing the authenticity of dendrobium and the use of counterfeit and inferior products affects their health, and propose a dendrobium origin tracing and anti-counterfeiting method.

[0006] The purpose of the present invention can be achieved by the following technical solutions:

[0007] A method for tracing the origin of dendrobium and preventing counterfeiting, comprising a sample collection module, a sample analysis module, an origin tracing module and an authenticity detection module;

[0008] The sample collection module performs appearance morphology detection, smell and taste detection, cross-section structure detection and chemical composition detection on the dendrobiums grown by the four planting methods, and transmits the detected appearance morphology data, smell and taste data, cross-section structure data and chemical composition data to the sample analysis module for analysis operation;

[0009] The sample analysis module processes the four test data transmitted by the sample collection module respectively, judges the planting method of Dendrobium from four aspects through the four test data, and transmits the data processing results to the origin tracing module and the authenticity detection module for processing;

[0010] The origin tracing module receives the data processing results of the four test data transmitted by the sample analysis module, and then determines the origin of the tested Dendrobium through data comparison and specific gravity analysis, completing the origin tracing operation of the tested Dendrobium;

[0011] The authenticity detection module receives the data processing results of the four test data transmitted by the sample analysis module, and then performs a comprehensive score based on the data processing of the four test data, and compares the obtained comprehensive score data with the preset comprehensive score threshold. , then the tested Dendrobium is judged to be authentic, otherwise, it needs further analysis or is directly judged to be a fake.

[0012] As a preferred embodiment of the present invention, the sample analysis module processes the appearance morphology detection data transmitted by the sample collection module, and the data processing steps are as follows:

[0013] Step 1: Perform appearance morphology detection on the dendrobiums grown by the four planting methods to obtain the shape data of the four planting methods. , color data , size data and internode length data , based on the above four data, we get the formula ;

[0014] Step 2: Standardize the conversion formula The four appearance data corresponding to the appearance form are standardized, and then the processing results are substituted into the training data to fit the logistic regression model to obtain Value, when When the corresponding Dendrobium is determined to be produced through greenhouse cultivation, When the corresponding Dendrobium is determined to be produced by planting on simulated wild trees, When the corresponding Dendrobium is determined to be produced by imitating wild stone planting, When the corresponding Dendrobium is determined to be produced through simulated environment cultivation.

[0015] As a preferred embodiment of the present invention, the sample analysis module processes the odor and taste detection data transmitted by the sample collection module. The data processing steps are as follows:

[0016] Step 1: Smell identification. Dendrobiums grown on simulated wild stones and simulated wild trees have a smell characteristic that is closer to that of natural growth, with a natural, subtle fragrance of forest or soil. Dendrobiums grown in greenhouses have a more neutral smell or a slight chemical smell because of the stricter environmental control and the use of fertilizers or pesticides.

[0017] Step 2: Taste identification: Take several samples of Dendrobium officinale grown in four different ways with the same growth time, and calculate the viscosity data of each Dendrobium officinale sample. , Sugar content data and fiber content data The viscosity data, sugar content data and fiber content data are then substituted into a simplified formula of a decision tree classifier;

[0018] Step 3: When , , When the corresponding Dendrobium is determined to be produced through simulated cultivation, , , When the corresponding Dendrobium is determined to be produced by planting on simulated wild trees, , , When the corresponding Dendrobium is determined to be produced by imitating wild stone planting, , , When the corresponding Dendrobium is determined to be produced through greenhouse cultivation, These are three numerical ranges obtained by comparing numerous samples.

[0019] As a preferred embodiment of the present invention, the sample analysis module processes the cross-section structure detection data transmitted by the sample collection module, and the data processing steps are as follows:

[0020] Step 1: Process the epidermal cell data, vascular bundle arrangement data, tissue structure data and growth size data by logarithmic transformation to obtain logarithmic transformation values, and draw coordinate points in four binary coordinate systems established with growth time data and logarithmic transformation values ​​as x-axis and y-axis;

[0021] Step 2: Connect the coordinate points in the binary coordinate system to obtain the connection line , then draw a straight line in the binary coordinate system , so that the straight line The distance between the coordinate point and the specified value is within the specified range. Inside, then continue to shrink The value range of The number is reduced to 1, with a straight line As the center line, the distance to both sides extension, judgment Straight line within range All are produced by the same planting method;

[0022] Step 3: Draw four straight line ranges in four binary coordinate systems respectively through step 2, and then compare the Dendrobium samples of the four planting methods to determine which straight line in which coordinate system the detection results of the Dendrobium of the four planting methods are closer to, increase the weight coefficient corresponding to the planting method, and then determine the planting method of the Dendrobium according to the degree of proximity when testing the Dendrobium samples.

[0023] As a preferred embodiment of the present invention, the sample analysis module processes the chemical component detection data transmitted by the sample collection module, and the data processing steps are as follows:

[0024] Step 1: Dry and crush the collected dendrobium samples, then use an appropriate solvent to extract the chemical components in the dendrobium, analyze the extracted chemical components by chromatography, record the chromatogram, including three data of retention time, peak area or peak height, and determine the presence of specific chemical components in the dendrobium by comparing with the chromatogram of a known standard substance. According to the calibration curve established by the chromatographic peak area or peak height and the standard substance of known concentration, calculate the content of each chemical component in the dendrobium, and obtain the water content data, ash content data, alkaloid content data and pesticide residue heavy metal content data of the dendrobium;

[0025] Step 2: Create a decision function , the moisture content data, ash content data, alkaloid content data and pesticide residue heavy metal content data were normalized to obtain , the four data of the four planting methods producing Dendrobium samples were respectively brought into the decision function to obtain the weight coefficient and the bias term The corresponding value of and the bias term Substitute into the formula and get , , and ;

[0026] Step 3: , , and Respectively Make a comparison and determine the planting method of Dendrobium.

[0027] As a preferred embodiment of the present invention, the origin tracing module processes the data processing results of the four test data transmitted by the sample analysis module, and the data processing steps are as follows:

[0028] Step 1: Data representing greenhouse cultivation, simulated wild stone cultivation, simulated wild tree cultivation and simulated environment cultivation , , and Perform a zeroing operation and obtain , and then when a test result is produced, the data value of the corresponding test result is increased by one;

[0029] Step 2: After completing the four tests, , , and Perform a sum operation, if , then it is determined that no omissions are found in the test; otherwise, the test data is determined to be abnormal and retest is required;

[0030] Step 3: Four data , , and For size comparison, if , then it is determined that the origin of the tested Dendrobium is greenhouse cultivation; if two data are the same, the preference data of the four planting methods are tested.

[0031] Compared with the prior art, the present invention has the following beneficial effects:

[0032] The sample analysis module is used to perform data analysis and processing on the appearance, morphology, smell and taste, cross-section structure and chemical composition of the dendrobium grown by the four planting methods, so that the origin of the dendrobium can be traced through the four methods of appearance, morphology, smell and taste, cross-section structure and chemical composition. The origin of the dendrobium is obtained by comparing the test results, and then the authenticity of the dendrobium is determined through the authenticity detection module to ensure that the dendrobium purchased by consumers is authentic, protect the rights and interests of consumers, prevent consumers from being harmed by counterfeit and shoddy products, ensure food safety, prevent consumers from eating dendrobium containing harmful substances that affect their health, crack down on counterfeit and shoddy products, and maintain a fair and competitive market environment. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] In order to facilitate understanding by those skilled in the art, the present invention is further described below with reference to the accompanying drawings.

[0034] Figure 1 It is a system flow chart of the present invention;

[0035] Figure 2 This is a program code diagram for the cross-cutting structure detection and analysis of the present invention. DETAILED DESCRIPTION

[0036] The technical solution of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention. Example

[0037] See also Figure 1 As shown, a method for tracing the origin of Dendrobium and preventing counterfeiting includes a sample collection module, a sample analysis module, an origin tracing module and an authenticity detection module;

[0038] The cultivation methods of Dendrobium are mainly divided into greenhouse cultivation , imitating wild stone planting , planted on simulated wild trees , simulated cultivation Four types;

[0039] The sample collection module performs appearance morphology detection, smell and taste detection, cross-section structure detection and chemical composition detection on the dendrobiums grown by the four planting methods, and transmits the detected appearance morphology data, smell and taste data, cross-section structure data, chemical composition data and solution chromatography data to the sample analysis module for analysis operation;

[0040] The sample analysis module detects the appearance and morphology of the four planting methods and obtains the shape data of the four planting methods. , color data , size data and internode length data , based on the above four data, we get the formula , is the weight coefficient, is the bias term; in order to avoid the influence of different dimensions and magnitudes, the four appearance data corresponding to the appearance form are standardized, and the standardized conversion formula is used , is the corresponding appearance data, is the mean of the corresponding appearance data, is the standard deviation of the corresponding appearance data; fitting the logistic regression model using the training data can be obtained

[0041] ,

[0042] when When the corresponding Dendrobium is determined to be produced through greenhouse cultivation, When the corresponding Dendrobium is determined to be produced by planting on simulated wild trees, When the corresponding Dendrobium is determined to be produced by imitating wild stone planting, When the corresponding Dendrobium is determined to be produced through simulated environment cultivation;

[0043] The sample analysis module tests the smell and taste of the dendrobiums grown in four planting methods. In terms of smell, the dendrobiums grown on simulated wild stones and simulated wild trees have smell characteristics that are closer to those grown in natural environments, with a natural, subtle forest or soil aroma. The dendrobiums grown in greenhouses have stricter environmental control and use of fertilizers or pesticides, so their smell is more neutral or has a slight smell of chemicals. In terms of taste, viscosity data, sugar content data, and fiber content data are obtained. Several samples of dendrobiums grown in four planting methods with the same growth time are taken, and the viscosity data of each dendrobium sample is analyzed. , Sugar content data and fiber content data Then, the viscosity data, sugar content data and fiber content data are substituted into the simplified formula of the decision tree classifier to obtain the , , When the corresponding Dendrobium is determined to be produced through simulated cultivation, , , When the corresponding Dendrobium is determined to be produced by planting on simulated wild trees, , , When the corresponding Dendrobium is determined to be produced by imitating wild stone planting, , , When the corresponding Dendrobium is determined to be produced through greenhouse cultivation, These are three numerical ranges obtained by comparing numerous samples;

[0044] The sample analysis module performs cross-section structure detection on the dendrobiums grown by the four planting methods, obtains epidermal cell data, vascular bundle arrangement data, tissue structure data and growth size data, processes the obtained epidermal cell data, vascular bundle arrangement data, tissue structure data and growth size data by logarithmic transformation, obtains logarithmic transformation values, plots coordinate points in four binary coordinate systems established with growth time data and logarithmic transformation values ​​as x-axis and y-axis, and then connects the coordinate points to obtain connecting lines , then draw a straight line in the binary coordinate system , so that the straight line The distance between the coordinate point and the specified value is within the specified range. Inside, then continue to shrink The value range of The quantity is reduced to 1;

[0045] The sample analysis module detects the chemical components of the dendrobiums grown by the four planting methods, dries and crushes the collected dendrobium samples, and then uses appropriate solvents to extract the chemical components in the dendrobiums. The extracted chemical components are analyzed by chromatography technology, and the chromatogram is recorded, including three data: retention time, peak area or peak height. The presence of specific chemical components in the dendrobiums is determined by comparing the chromatograms with those of known standard substances. The calibration curve established based on the chromatographic peak area or peak height and the standard substances with known concentrations is used to calculate the content of each chemical component in the dendrobiums, and the moisture content data of the dendrobiums is obtained. , ash content data , alkaloid content data and pesticide residue and heavy metal content data , establish a decision function , the moisture content data, ash content data, alkaloid content data and pesticide residue heavy metal content data were normalized to obtain , the four data of the four planting methods producing Dendrobium samples were respectively brought into the decision function to obtain the weight coefficient and the bias term The corresponding value of and the bias term Substitute into the formula and get , , , ;

[0046] when , , , , then it is determined that the planting method of the Dendrobium is greenhouse planting ;when , , , , then it is determined that the planting method of the Dendrobium is simulated wild stone planting ;when , , , , then it is determined that the planting method of the Dendrobium is simulated planting on wild trees ;when , , , , then the planting method of the Dendrobium is determined to be simulated cultivation , is the default value;

[0047] The origin traceability module retrieves the sample analysis module to obtain the appearance morphology test results, smell and taste test results, cross-section structure test results and chemical composition test results of the four planting methods. When judging the planting method of a Dendrobium sample, the data representing greenhouse planting, simulated wild stone planting, simulated wild tree planting and simulated environment cultivation are used. , , and Perform a zeroing operation and obtain , and then when a test result is output, the data value of the corresponding test result is increased by one. After completing the four tests, the data , , and Perform a sum operation, if , then it is determined that the test has not found any omissions, otherwise, the test data is determined to be abnormal and retested; then the four data , , and For size comparison, if , then the origin of the tested Dendrobium is determined to be greenhouse cultivation; if two data are the same, the preference data of the four planting methods are tested. Greenhouse cultivation uses fertilizers or pesticides, The value is relatively large; the imitation wild stone planting method is similar to the imitation wild tree planting method, but the Dendrobium produced by the imitation wild stone planting method is The value is relatively large, imitating the fiber content data produced by wild tree planting The value is relatively large; the Dendrobium produced by simulated cultivation is precisely controlled due to fine management.

[0048] Therefore, within the same growth period, The value is the largest; if and , it is determined that the origin of the tested Dendrobium is planted on simulated wild stones;

[0049] The authenticity detection module comprehensively scores the test results of four detection methods of multiple genuine samples. , For the The weight of the detection method, For the The samples in The score in the detection method, if , then the detected Dendrobium is judged to be authentic, otherwise, it needs further analysis or is directly judged to be a fake. is the preset comprehensive score threshold.

[0050] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and use the present invention well. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. A method for tracing the origin of Dendrobium officinale and preventing counterfeiting, characterized in that: It includes sample collection module, sample analysis module, origin tracing module and authenticity detection module; The sample collection module performs appearance morphology detection, smell and taste detection, cross-section structure detection and chemical composition detection on the dendrobiums grown by the four planting methods, and transmits the detected appearance morphology data, smell and taste data, cross-section structure data and chemical composition data to the sample analysis module for analysis operation; The sample analysis module processes the four test data transmitted by the sample collection module respectively, judges the planting method of Dendrobium from four aspects through the four test data, and transmits the data processing results to the origin tracing module and the authenticity detection module for processing; The origin tracing module receives the data processing results of the four test data transmitted by the sample analysis module, and then determines the origin of the tested Dendrobium through data comparison and specific gravity analysis, completing the origin tracing operation of the tested Dendrobium; The authenticity detection module receives the data processing results of the four test data transmitted by the sample analysis module, and then performs a comprehensive score based on the data processing of the four test data, and compares the obtained comprehensive score data with the preset comprehensive score threshold. , then the detected Dendrobium is judged to be authentic, otherwise, it is judged to need further analysis or directly judged to be a fake; The sample analysis module processes the appearance morphology detection data transmitted by the sample collection module. The data processing steps are as follows: Step 1: Perform appearance morphology detection on the dendrobiums grown by the four planting methods to obtain the shape data of the four planting methods. , color data , size data and internode length data , based on the above four data, we get the formula ; Step 2: Standardize the conversion formula The four appearance data corresponding to the appearance form are standardized, and then the processing results are substituted into the training data to fit the logistic regression model to obtain Value, when When the corresponding Dendrobium is determined to be produced through greenhouse cultivation, When the corresponding Dendrobium is determined to be produced by planting on simulated wild trees, When the corresponding Dendrobium is determined to be produced by imitating wild stone planting, When the corresponding Dendrobium is determined to be produced through simulated environment cultivation; The sample analysis module processes the odor and taste detection data transmitted by the sample collection module. The data processing steps are as follows: Step 1: Smell identification. Dendrobiums grown on simulated wild stones and simulated wild trees have a smell characteristic that is closer to that of natural growth, with a natural, subtle fragrance of forest or soil. Dendrobiums grown in greenhouses have a more neutral smell or a slight chemical smell because of the stricter environmental control and the use of fertilizers or pesticides. Step 2: Taste identification: Take several samples of Dendrobium officinale grown in four different ways with the same growth time, and calculate the viscosity data of each Dendrobium officinale sample. , Sugar content data and fiber content data The viscosity data, sugar content data and fiber content data are then substituted into a simplified formula of a decision tree classifier; Step 3: When , , When the corresponding Dendrobium is determined to be produced through simulated cultivation, , , hour, It is determined that the corresponding Dendrobium is produced by simulating the planting of wild trees. , , When the corresponding Dendrobium is determined to be produced by imitating wild stone planting, , , When the corresponding Dendrobium is determined to be produced through greenhouse cultivation, These are three numerical ranges obtained by comparing numerous samples; The sample analysis module processes the cross-section structure detection data transmitted by the sample collection module. The data processing steps are as follows: Step 1: Process the epidermal cell data, vascular bundle arrangement data, tissue structure data and growth size data by logarithmic transformation to obtain logarithmic transformation values, and draw coordinate points in four binary coordinate systems established with growth time data and logarithmic transformation values ​​as x-axis and y-axis; Step 2: Connect the coordinate points in the binary coordinate system to obtain the connection line , then draw a straight line in the binary coordinate system , so that the straight line The distance between the coordinate point and the specified value is within the specified range. Inside, then continue to shrink The value range of The number is reduced to 1, with a straight line As the center line, the distance to both sides extension, judgment Straight line within range All are produced by the same planting method; Step 3: Draw four straight line ranges in four binary coordinate systems respectively through step 2, and then compare the dendrobium samples of the four planting methods, determine which straight line in which coordinate system the detection results of the dendrobium of the four planting methods are closer to, increase the weight coefficient corresponding to the planting method, and then determine the planting method of the dendrobium according to the degree of proximity when testing the dendrobium samples; The sample analysis module processes the chemical composition detection data transmitted by the sample collection module. The data processing steps are as follows: Step 1: Dry and crush the collected dendrobium samples, then use an appropriate solvent to extract the chemical components in the dendrobium, analyze the extracted chemical components by chromatography, record the chromatogram, including three data of retention time, peak area or peak height, and determine the presence of specific chemical components in the dendrobium by comparing with the chromatogram of a known standard substance. According to the calibration curve established by the chromatographic peak area or peak height and the standard substance of known concentration, calculate the content of each chemical component in the dendrobium, and obtain the water content data, ash content data, alkaloid content data and pesticide residue heavy metal content data of the dendrobium; Step 2: Create a decision function , the moisture content data, ash content data, alkaloid content data and pesticide residue heavy metal content data were normalized to obtain , the four data of the four planting methods producing Dendrobium samples were respectively brought into the decision function to obtain the weight coefficient and the bias term The corresponding value of and the bias term Substitute into the formula and get , , and ; Step 3: , , and Respectively Make a comparison and determine the planting method of Dendrobium; The origin traceability module processes the data processing results of the four test data transmitted by the sample analysis module. The data processing steps are as follows: Step 1: Data representing greenhouse cultivation, simulated wild stone cultivation, simulated wild tree cultivation and simulated environment cultivation , , and Perform a zeroing operation and obtain , and then when a test result is produced, the data value of the corresponding test result is increased by one; Step 2: After completing the four tests, , , and Perform a sum operation, if , then it is determined that no omissions are found in the test; otherwise, the test data is determined to be abnormal and retest is required; Step 3: Four data , , and For size comparison, if , then it is determined that the origin of the tested Dendrobium is greenhouse cultivation; if two data are the same, the preference data of the four planting methods are tested.

2. A method for tracing the origin of Dendrobium officinale and preventing counterfeiting as claimed in claim 1, characterized in that: The dendrobium anti-counterfeiting method comprises the following steps: Step 1: Comprehensively score the test results of the four test methods of multiple genuine samples. , For the The weight of the detection method, For the The samples in Scores in the various detection methods; Step 2: If , then the detected Dendrobium is judged to be authentic, otherwise, it needs further analysis or is directly judged to be a fake. is the preset comprehensive score threshold.

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