CN-121994886-A - Method for tracing origin of coffee beans

CN121994886ACN 121994886 ACN121994886 ACN 121994886ACN-121994886-A

Abstract

The invention discloses a method for tracing origin of coffee beans. The method comprises the steps of obtaining coffee bean samples of different production places, preparing coffee solutions corresponding to each coffee bean sample, preparing NaOH solutions of different concentrations, uniformly mixing the NaOH solutions of different concentrations with the coffee solutions, analyzing and screening to obtain the optimal concentration of the NaOH solutions, uniformly mixing the coffee solutions corresponding to each coffee bean sample with the NaOH solutions of optimal concentrations, extracting a corresponding characteristic signal set, inputting the characteristic signal set and a production label of the coffee bean sample into a machine learning model for training to obtain a coffee bean production place tracing model, preparing the coffee solutions corresponding to the coffee bean sample to be tested, uniformly mixing the coffee solutions with the NaOH solutions of optimal concentrations, extracting the corresponding characteristic signal set, inputting the characteristic signal set into the coffee bean production place tracing model, and outputting the production place of the coffee bean sample to be tested by the coffee bean production place tracing model. The invention can rapidly and accurately trace the origin of the coffee beans.

Inventors

Yong Chengxiang
SHI MEILING
Dai Dianchen
ZHANG TIANYU
WANG YAJING
HUI GUOHUA
SUN ZHAOYI
XIAO YUQI
HUANG YUCHEN
Lan Huiting
LU JIANYU
WU WENXIONG
Xia Chengling
ZHU HANYAN

Assignees

浙江农林大学

Dates

Publication Date: 20260508
Application Date: 20260202

Claims (9)

1. The method for tracing the origin of the coffee beans is characterized by comprising the following steps of: s1, obtaining coffee bean samples of different producing places, preparing m coffee bean samples of each producing place, and preparing a coffee solution corresponding to each coffee bean sample; S2, preparing NaOH solutions with different concentrations, uniformly mixing the NaOH solution with each concentration with the coffee solution, analyzing, and screening to obtain the optimal concentration of the NaOH solution; S3, uniformly mixing the coffee solution corresponding to each coffee bean sample with the NaOH solution with the optimal concentration, and extracting a corresponding characteristic signal set; S4, inputting the characteristic signal set and the origin mark of the coffee bean sample into a machine learning model for training to obtain a coffee bean origin tracing model; S5, preparing a coffee solution corresponding to the coffee bean sample to be detected, uniformly mixing the coffee solution with the NaOH solution with the optimal concentration, extracting a corresponding characteristic signal set, inputting the characteristic signal set into a coffee bean origin tracing model, and outputting the origin of the coffee bean sample to be detected by the coffee bean origin tracing model.
2. The method according to claim 1, wherein the step S2 comprises the steps of: S21, preparing NaOH solutions with different concentrations, wherein the concentration range of the NaOH solution is 0.001-1 mol/L; S22, uniformly mixing the NaOH solution with each concentration with the coffee solution, and then analyzing to extract the characteristic value corresponding to the NaOH solution with each concentration; and S23, taking the concentration with the maximum characteristic value as the optimal concentration of the NaOH solution.
3. The method for tracing the origin of coffee beans according to claim 2, wherein in the step S22, the NaOH solution with the concentration d is uniformly mixed with the coffee solution and then analyzed, and the characteristic value corresponding to the NaOH solution with the concentration d is extracted, wherein d is more than or equal to 0.001 and less than or equal to 1, and the method comprises the following steps: M1, uniformly mixing 1ml of distilled water with 19 ml of NaOH solution with the concentration d to obtain a corresponding mixed solution, acquiring a cyclic voltammetry curve of the mixed solution by adopting a three-electrode sensor through a cyclic voltammetry method, and taking the cyclic voltammetry curve as a comparison curve; M2, uniformly mixing 1 ml of each coffee solution with 19 ml of NaOH solution with the concentration d to obtain corresponding mixed solutions, and acquiring a cyclic voltammetry curve of each mixed solution by adopting a three-electrode sensor through cyclic voltammetry; Subtracting each cyclic volt-ampere curve from the comparison curve to obtain a corresponding net response current curve, and obtaining a reduction peak current value of each net response current curve; calculating the reduction peak current mean value , , Wherein n is the number of the coffee beans, The value of the reduction peak current corresponding to the j-th coffee bean sample in the i-th production place is equal to or more than 1 and equal to or less than n, and is equal to or less than 1 and equal to or less than m; M3, uniformly mixing 1 ml of sucrose solution, glucose solution and fructose solution with 19 ml of NaOH solution with the concentration d to obtain corresponding mixed solutions, and acquiring a cyclic voltammetry curve of each mixed solution by adopting a three-electrode sensor through cyclic voltammetry; Subtracting the comparison curve from each cyclic voltammetry curve to obtain corresponding net response current curves, and obtaining the reduction peak current value of each net response current curve, wherein the reduction peak current value corresponding to the sucrose solution is recorded as The reduction peak current corresponding to the glucose solution is recorded as The reduction peak current value corresponding to the fructose solution is recorded as ; And M4, calculating a characteristic value corresponding to the NaOH solution with the concentration d, wherein the calculation formula is as follows: , , , , Wherein, the Is a characteristic value.
4. The method for tracing a coffee bean origin according to claim 1, wherein the method for uniformly mixing the coffee solution corresponding to the coffee bean sample with the NaOH solution with the optimal concentration and extracting the corresponding characteristic signal set comprises the following steps: Uniformly mixing 1 ml of coffee solution corresponding to a coffee bean sample and 19 ml of NaOH solution with optimal concentration to obtain a corresponding mixed solution; n2, adopting a three-electrode sensor to characterize the mixed solution by utilizing a differential pulse voltammetry to obtain peak potential Peak current Area of peak Peak potential is calculated Peak current Area of peak A set of characteristic signals of the coffee bean sample is composed.
5. The method of claim 1, wherein the machine learning model is a support vector machine.
6. The method for tracing the origin of coffee beans according to claim 1, wherein the method for preparing the coffee solution corresponding to the coffee bean sample comprises the following steps of grinding the coffee bean sample, sieving with a 80-100 mesh sieve, dissolving in distilled water at 95 ℃ according to a solid-to-liquid ratio of 1:10 (g/mL), stirring uniformly, standing and filtering to obtain the coffee solution.
7. A method for tracing a coffee bean origin according to claim 3 or 4, wherein the three-electrode sensor comprises a copper film working electrode, a saturated KCl calomel reference electrode, and a platinum counter electrode.
8. The method for tracing a coffee bean origin according to claim 3, wherein the cyclic voltammetry has a potential range of-0.9 to-0.2V, a scanning rate of 50mV/s and a scanning turn number of 2.
9. The method for tracing a coffee bean origin according to claim 4, wherein the parameters of the differential pulse voltammetry are a potential range of 0 to-0.5V, a voltage step of 4mV, a pulse amplitude of 0.05V, a pulse duration of 0.05s, a sampling interval of 0.0167s and a pulse period of 0.5s.

Description

Method for tracing origin of coffee beans Technical Field The invention relates to the technical field of food tracing, in particular to a coffee bean origin tracing method. Background The origin of coffee beans is a key factor influencing the quality and the value of the coffee beans, and the differences of environmental conditions such as climate, soil, altitude and the like of different origins can lead to obvious differences of the coffee in aspects of flavor, ingredients and the like. The current method for tracing the origin of the coffee beans mainly comprises a sensory evaluation method, a spectroscopic analysis method, a chromatographic analysis method, a mass spectrometry method and the like. The method for sensory evaluation relies on experience of professional tasters, has strong subjectivity and poor repeatability, is difficult to realize standardized tracing, and has the defects of huge equipment volume, complex operation, long detection period, high cost and the like although the spectral analysis method, the chromatographic analysis method and the mass spectrometry method have high detection precision, so that the method cannot meet the requirements of low cost, rapidness, on-site tracing. Disclosure of Invention The invention aims to solve the technical problems, and provides a method for tracing the origin of coffee beans, which can rapidly and accurately trace the origin of the coffee beans, and is simple to operate and low in cost. In order to solve the problems, the invention is realized by adopting the following technical scheme: The invention relates to a method for tracing origin of coffee beans, which comprises the following steps: s1, obtaining coffee bean samples of different producing places, preparing m coffee bean samples of each producing place, and preparing a coffee solution corresponding to each coffee bean sample; S2, preparing NaOH solutions with different concentrations, uniformly mixing the NaOH solution with each concentration with the coffee solution, analyzing, and screening to obtain the optimal concentration of the NaOH solution; S3, uniformly mixing the coffee solution corresponding to each coffee bean sample with the NaOH solution with the optimal concentration, and extracting a corresponding characteristic signal set; S4, inputting the characteristic signal set and the origin mark of the coffee bean sample into a machine learning model for training to obtain a coffee bean origin tracing model; S5, preparing a coffee solution corresponding to the coffee bean sample to be detected, uniformly mixing the coffee solution with the NaOH solution with the optimal concentration, extracting a corresponding characteristic signal set, inputting the characteristic signal set into a coffee bean origin tracing model, and outputting the origin of the coffee bean sample to be detected by the coffee bean origin tracing model. Preferably, the step S2 includes the steps of: S21, preparing NaOH solutions with different concentrations, wherein the concentration range of the NaOH solution is 0.001-1 mol/L; S22, uniformly mixing the NaOH solution with each concentration with the coffee solution, and then analyzing to extract the characteristic value corresponding to the NaOH solution with each concentration; and S23, taking the concentration with the maximum characteristic value as the optimal concentration of the NaOH solution. Preferably, in the step S22, the NaOH solution with the concentration d is uniformly mixed with the coffee solution and then analyzed, and the characteristic value corresponding to the NaOH solution with the concentration d is extracted, wherein d is more than or equal to 0.001 and less than or equal to 1, and the method comprises the following steps: M1, uniformly mixing 1ml of distilled water with 19 ml of NaOH solution with the concentration d to obtain a corresponding mixed solution, acquiring a cyclic voltammetry curve of the mixed solution by adopting a three-electrode sensor through a cyclic voltammetry method, and taking the cyclic voltammetry curve as a comparison curve; M2, uniformly mixing 1 ml of each coffee solution with 19 ml of NaOH solution with the concentration d to obtain corresponding mixed solutions, and acquiring a cyclic voltammetry curve of each mixed solution by adopting a three-electrode sensor through cyclic voltammetry; Subtracting each cyclic volt-ampere curve from the comparison curve to obtain a corresponding net response current curve, and obtaining a reduction peak current value of each net response current curve; calculating the reduction peak current mean value , , Wherein n is the number of the coffee beans,The value of the reduction peak current corresponding to the j-th coffee bean sample in the i-th production place is equal to or more than 1 and equal to or less than n, and is equal to or less than 1 and equal to or less than m; M3, uniformly mixing 1 ml of sucrose solution, glucose solution and fructose solution with 19