Supercharge Your Innovation With Domain-Expert AI Agents!

A method for identifying the origin of millet based on nonlinear chemical fingerprint

A non-linear chemical and fingerprint technology, applied in the identification of millet origin based on non-linear chemical fingerprint, can solve problems such as infringing on the interests of consumers, and achieve the effect of increasing the speed

Active Publication Date: 2021-09-24
HANDAN COLLEGE
View PDF9 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Inherently, some unscrupulous vendors deliberately fabricate the origin of millet, especially ordinary millet to pretend to be millet from a well-known origin, in order to achieve their sales goals, seriously infringing on the interests of consumers

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • A method for identifying the origin of millet based on nonlinear chemical fingerprint
  • A method for identifying the origin of millet based on nonlinear chemical fingerprint
  • A method for identifying the origin of millet based on nonlinear chemical fingerprint

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0065] The method for identifying millet from different origins based on nonlinear chemical fingerprints, comprising the following steps:

[0066] A. Establish the nonlinear chemical fingerprint of the chemical composition after pretreatment:

[0067] Ⅰ. Sample pretreatment:

[0068] S1. The millet is pulverized, passed through an 80-mesh sieve, then soaked in water at a temperature of 50° C. for 120 minutes, and then subjected to beating treatment, and the obtained is recorded as millet pulp;

[0069] S2. Add 0.3% mixed protease to the millet pulp obtained in S1 and adjust the pH to 6.0, then place it in an ultrasonic cell breaker for 4 minutes, adjust the water temperature to 48°C, soak for 5 hours, and record the obtained as Mixing component A;

[0070] S3. Add 0.4% of the compound amylase to the mixed component A, adjust the pH value of the mixed component to 5.8, adjust the water temperature to 50°C, disperse ultrasonically for 4 minutes, then soak in heat for 25 minute...

Embodiment 2

[0106] The method for identifying millet from different origins based on the nonlinear chemical fingerprinting technique comprises the following steps:

[0107] A. Establish the nonlinear chemical fingerprint of the chemical composition after pretreatment:

[0108] Ⅰ. Sample pretreatment:

[0109] S1. The millet is pulverized, passed through an 80-mesh sieve, then soaked in water at a temperature of 55° C. for 140 minutes, and then subjected to beating treatment, and the obtained is recorded as millet pulp;

[0110]S2. Add 0.5% mixed protease to the millet pulp obtained in S1 and adjust the pH to 6.5, then place it in an ultrasonic cell disruptor for 6 minutes, adjust the water temperature to 50°C, and soak it for 7 hours. The obtained is recorded as Mixing component A;

[0111] S3. Add 0.5% compound amylase by mass to the mixed component A, and adjust the pH value of the mixed component to 6.0, adjust the water temperature to 52°C, ultrasonically disperse for 6 minutes and ...

Embodiment 3

[0147] The method for identifying millet from different origins based on the nonlinear chemical fingerprinting technique comprises the following steps:

[0148] A. Establish the nonlinear chemical fingerprint of the chemical composition after pretreatment:

[0149] Ⅰ. Sample pretreatment:

[0150] S1. The millet is pulverized, passed through an 80-mesh sieve, then soaked in water at a temperature of 65° C. for 160 minutes, and then subjected to beating treatment, and the obtained is recorded as millet pulp;

[0151] S2. Add 0.7% mixed protease to the millet pulp obtained in S1 and adjust the pH to 7.0, then place it in an ultrasonic cell breaker for 8 minutes, adjust the water temperature to 50°C, and soak it for 9 hours. The obtained is recorded as Mixing component A;

[0152] S3. Add 0.7% of the compound amylase to the mixed component A, adjust the pH value of the mixed component to 6.5, adjust the water temperature to 55°C, ultrasonically disperse for 8 minutes and then s...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention belongs to the technical field of millet identification, and particularly relates to a method for identifying millet origins based on nonlinear chemical fingerprints; the method first preprocesses millet samples from different origins, and during the pretreatment process, the pH is 6.0-7.0 Under the condition of water temperature of 48-50℃, the millet will be enzymatically hydrolyzed by papain, alkaline protease and flavor protease, and the starch in millet will be decomposed by using peak α-amylase, β-amylase and glucoamylase. Sufficient enzymatic hydrolysis into reducing sugar; in H + , BrO 3 ‑ , Mn 2+ and CH 3 COCH 3 The B-Z electrochemical oscillating system is mixed, and the change of the potential is tested at a constant temperature. According to the extracted characteristic parameters of the electrochemical fingerprint, a wealth of information is obtained, and the sample to be identified is compared with the standard sample by using the similar system theory. The overall similarity can identify the authenticity of samples to be verified, and prevent unscrupulous traders from using ordinary millet to pretend to be millet from a well-known place of origin, which greatly facilitates our lives.

Description

technical field [0001] The invention belongs to the technical field of millet identification, in particular to a method for identifying the origin of millet based on a nonlinear chemical fingerprint. Background technique [0002] Millet can be said to be one of the most commonly eaten foods in our daily life. Millet is corn, which can open up the stomach, nourish the deficiency, and benefit the pubic region. It can be used as a tonic for those with blood loss, weak constitution, and poor appetite. Lack of milk, fatigue and fatigue caused by postpartum depletion, and unsatisfactory diet can be eaten for breakfast. When buying Xiaomi, we are also particularly concerned about the quality of Xiaomi. The growth environment of millet has a great impact on its quality. In different regions, due to differences in seed types, soil, climate, water quality, and air quality, the nutrients of millet produced are significantly different, so millet from different origins will have its own...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Patents(China)
IPC IPC(8): G01N27/26G01N1/28
CPCG01N1/28G01N27/26
Inventor 胡俊平
Owner HANDAN COLLEGE
Features
  • R&D
  • Intellectual Property
  • Life Sciences
  • Materials
  • Tech Scout
Why Patsnap Eureka
  • Unparalleled Data Quality
  • Higher Quality Content
  • 60% Fewer Hallucinations
Social media
Patsnap Eureka Blog
Learn More

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2025 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com