CN-122017163-A - Rapid nondestructive testing method for cortex quantity of wolfberry root-bark based on hue angle

CN122017163ACN 122017163 ACN122017163 ACN 122017163ACN-122017163-A

Abstract

The invention relates to the technical field of traditional Chinese medicine detection and discloses a quick nondestructive testing method for the cortex quantity of medlar based on a hue angle, which comprises the following steps of collecting a reflection spectrum chroma signal of the surface of medlar root bark to be tested in a standard light source environment and calculating an average hue angle; and then substituting the average hue angle into a preset efficacy component prediction model to perform operation by taking the average hue angle as an input variable, and directly outputting the predicted contents of the cortex lycii radicis, the cortex lycii radicis and the total flavonoids in the sample to be detected. The prediction model is a unitary linear regression equation constructed based on a large amount of experimental data, and a quantitative mapping relation between the appearance hue angle and the content of the internal chemical components is established. The invention replaces the traditional chemical analysis by utilizing optical detection, does not need to destroy the physical form of a sample and consume chemical reagent, realizes the quick, low-cost and objective evaluation of the inherent quality of the root bark of the medlar, and is suitable for batch screening and classification of the medicine circulation site.

Inventors

LIANG XIAOJIE
AN WEI
QIN XIAOYA
YIN YUE
BAI XIAORONG
WANG YAJUN

Assignees

宁夏农林科学院枸杞科学研究所

Dates

Publication Date: 20260512
Application Date: 20260126

Claims (10)

1. A quick nondestructive testing method for the cortex quantity of medlar based on a hue angle is characterized by comprising the following steps: Carrying out photo-thermal balance treatment on a dried medlar root bark sample to be detected, eliminating ambient light fluctuation and surface state instability, and then acquiring an original chroma signal representing the appearance optical characteristics of the outer root bark by using color measurement equipment on the premise of keeping the physical form of the sample intact; converting the original chrominance signal into a CIELab color space value, deriving an average hue angle of a sample to be detected based on numerical calculation, and taking the average hue angle as a unique independent variable for representing the integral appearance attribute and the internal quality of the sample; Constructing a preset unitary linear regression prediction model containing three target components of cortex lycii radicis, cortex lycii radicis and total flavone, wherein the model is established by utilizing least square regression analysis based on the linear dependency relationship between the average hue angle of a standard sample set and the real content of each target component; substituting the average hue angle of the sample to be detected obtained in the step S2 into the preset unitary linear regression prediction model in the step S3, and respectively calculating the predicted content values of the cortex lycii radicis, the cortex lycii radicis and the total flavone in the sample to be detected to finish nondestructive detection.
2. The method for rapid nondestructive testing of cortex quantity of Lycii Frutus based on hue angle according to claim 1, wherein the photo-thermal balancing treatment in step S1 specifically comprises: Removing attached sediment and impurities on the surface of the sample to be tested by using a soft brush, so as to ensure that the surface of the outer root skin is free from obvious mildew or physical damage; Placing the cleaned sample to be tested in a D65 standard light source box for standing for more than 5 minutes until the surface of the medicinal material reaches a photothermal equilibrium state so as to eliminate microscopic surface deformation or unsteady state gloss reflection caused by environmental temperature difference.
3. The method for rapid nondestructive testing of the cortex quantity of wolfberry roots based on hue angle according to claim 1, wherein the specific conditions for collecting the original chrominance signals in step S1 are as follows: Setting a measurement mode of the color measurement device to be CIELab color space, setting an observation field angle to be 10 degrees, and setting a measurement light source to be D65; For each sample to be measured, selecting a region with flat outer root skin and uniform color as a measuring point, avoiding scars, bifurcation and fracture surfaces, vertically clinging a measuring probe to the surface of the sample for multi-point scanning measurement, and setting the measurement frequency of a single sample to be 3-5 times.
4. The method for rapid nondestructive testing of cortex quantity of Lycii Frutus based on hue angle in claim 3, wherein the method for deriving average hue angle in step S2 is as follows: And converting the chrominance signals obtained by multiple measurements into hue angle readings respectively, and carrying out arithmetic average operation on all hue angle readings of the same sample to be measured to obtain an average hue angle of the sample, wherein the average hue angle is used for eliminating local deviation existing in single-point measurement and is used as a comprehensive characteristic value for representing the integral appearance attribute of the sample.
5. The method for rapid nondestructive testing of root-cortex quantity of wolfberry based on hue angle according to claim 1, wherein the process of constructing the preset unitary linear regression prediction model in step S3 comprises: selecting representative dried wolfberry root-bark medicinal material samples with the number of more than or equal to 30 to form a standard sample set; Respectively obtaining the average hue angle of each sample in the standard sample set; Respectively measuring the real content of the cortex lycii radicis, the real content of the cortex lycii radicis and the real content of the total flavone of each sample in the standard sample set by adopting a chemical analysis method; and carrying out unitary linear regression analysis by using the average hue angle as an abscissa and the real content of each component as an ordinate and applying a least square method principle to calculate the regression slope and intercept constant of the best fit straight line so as to establish the preset unitary linear regression prediction model.
6. The rapid nondestructive testing method for the cortex quantity of the wolfberry root-bark based on the hue angle according to claim 5, wherein the chemical analysis method is specifically as follows: For the real content of the cortex lycii radicis and the real content of the cortex lycii radicis, high performance liquid chromatography is adopted for determination, precisely weighing the ground sample powder, performing ultrasonic extraction by using a solvent, filtering, fixing the volume, and then injecting the sample powder into a liquid chromatograph, and calculating according to a standard curve method; And (3) measuring the real content of the total flavone by adopting an ultraviolet-visible spectrophotometry, measuring absorbance by utilizing an aluminum nitrate-sodium nitrite chromogenic system under a specific wavelength, and calculating to obtain the total flavone.
7. The method for rapid nondestructive testing of cortex Lycii based on hue angle according to claim 5, wherein the calculating logic of the predicted content value of the cortex Lycii in step S4 is as follows: Multiplying the input average hue angle by a first regression slope, and subtracting a first intercept constant to obtain a predicted content value of the cortex lycii radicis-element; The first regression slope was set to 0.245, the first intercept constant was set to 9.929, and the predicted content value was in milligrams per gram.
8. The method for rapid nondestructive testing of cortex Lycii based on hue angle according to claim 5, wherein the average hue angle is multiplied by a second regression slope and subtracted by a second intercept constant to obtain the predicted content of cortex Lycii; the second regression slope was set to 0.396, the second intercept constant was set to 10.892, and the predicted content was in milligrams per gram.
9. The method for rapid nondestructive testing of cortex Lycii based on hue angle according to claim 5, wherein the calculating logic of the predicted content value of cortex Lycii in step S4 is as follows: multiplying the input average hue angle by a second regression slope, and subtracting a second intercept constant to obtain a predicted content value of the cortex lycii radicis-element; the second regression slope was set to 0.396, the second intercept constant was set to 10.892, and the predicted content value was in milligrams per gram.
10. The rapid nondestructive testing method for the cortex quantity of the wolfberry root-bark based on the hue angle according to claim 1, wherein the output predicted content results of the cortex lycii radicis, the cortex lycii radicis and the total flavonoids are respectively compared with corresponding grading thresholds according to a preset quality grading standard to judge the quality grade of the sample to be tested, and the whole testing process does not carry out physical crushing or chemical extraction on the sample to be tested.

Description

Rapid nondestructive testing method for cortex quantity of wolfberry root-bark based on hue angle Technical Field The invention relates to the technical field of traditional Chinese medicine detection, in particular to a rapid nondestructive detection method for the cortex quantity of wolfberry roots based on a hue angle. Background The cortex lycii radicis serves as a clinically common heat-clearing and blood-cooling medicine, the internal quality is directly related to the stability of clinical curative effects, the cortex lycii radicis-element and the total flavone are key drug effect substance bases for evaluating the quality of cortex lycii radicis, and the accurate and efficient determination of the functional components is carried out in the steps of medicinal material planting, purchasing and circulation, so that the premise of realizing quality grading and accurate control of medicinal materials is realized. At present, the quality evaluation of the root bark of the Chinese wolfberry is mainly based on a physicochemical detection method specified in the standards of the pharmacopoeia of the people's republic of China, or depends on the traditional sensory experience of practitioners, the quantitative analysis of chemical components is generally carried out by measuring the contents of the cortex lycii radicis and the cortex lycii radicis by adopting a high performance liquid chromatography, measuring the content of total flavonoids by adopting an ultraviolet-visible spectrophotometry, and carrying out the empirical judgment on the spot primary screening according to the sensory characteristics of the appearance characters, the section colors and the like of the medicinal materials. Although the existing physicochemical detection technology has higher analysis sensitivity and accuracy, the defects still exist in the actual large-scale field detection application, as the chromatograph and the spectral analysis are required to crush, grind and extract the medicinal material samples by using organic solvents, the irreversible physical damage leads to the irrecoverable utilization of the detected samples, so that the method is only suitable for the destructive sampling inspection with a small proportion, the requirement of full nondestructive screening of high-value medicinal materials is difficult to meet, meanwhile, the standard chemical detection process involves complicated pretreatment steps, the single detection period is longer, and the chemical reagents such as methanol, acetonitrile and the like are continuously consumed, so that the detection cost is high and the waste liquid treatment burden is accompanied, the operation requirements of grading a large number of samples in real time and low cost cannot be met in a warehouse logistics link, and the traditional sensory identification is simple and convenient, but lacks the data support of quantitative objective, is easily influenced by the subjective experience difference of environment light and personnel only through naked eyes, and the consistency and reproducibility of quality judgment results are difficult to guarantee. Disclosure of Invention Aiming at the defects of the prior art, the invention provides a quick nondestructive testing method for the cortex quantity of the medlar root based on a hue angle, which solves the problems of the existing technology for testing the cortex quantity of the medlar root that the physical form of a sample needs to be destroyed, the testing time is long, the reagent cost is high, the subjectivity of the artificial sensory evaluation is strong and the quantification standard is lacking. The invention provides a method for quick nondestructive testing of cortex quantity of Lycii Frutus based on hue angle, comprising selecting dried Lycii Frutus Pi Daice sample, placing in D65 standard light source environment, performing light-heat balance treatment until sample surface state is stable, collecting reflectance spectrum chroma signal of outer root skin surface of sample to be tested by color measuring device, and converting the reflectance spectrum chroma signal into CIEThe color space value is further calculated to obtain an average color phase angle of the sample to be detected, the average color phase angle is used as a single input variable and substituted into a preset efficacy component prediction model to be operated, and the predicted content results of the lycine A, the lycine B and the total flavonoids in the sample to be detected are output. In a preferred embodiment, the photo-thermal balance treatment specifically comprises removing attached sediment and impurities on the surface of a sample to be detected by using a soft brush, ensuring that the surface of an outer root skin is free from obvious mildew or physical damage, placing the cleaned sample to be detected in a D65 standard light source box, and standing for more than 5 minutes to enable the thermodynamic state and the water distributio