Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Method for detecting content of lysine based on near-infrared spectrum characteristic data extraction technology

A technology of near-infrared spectroscopy and characteristic data, applied in measurement devices, material analysis by optical means, instruments, etc., can solve the problems of long detection period of lysine, unstable detection accuracy, etc., to improve modeling efficiency and improve efficiency. The accuracy of the model, the time-consuming improvement, and the effect of saving detection costs

Inactive Publication Date: 2019-03-26
INST OF QUALITY STANDARD & TESTING TECH FOR AGRO PROD OF CAAS
View PDF4 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] For this reason, the technical problem to be solved by the present invention is to provide a method for rapidly detecting lysine content in feed additives based on near-infrared spectral feature data extraction technology, to solve the problem of long detection period and accurate detection of lysine in the prior art. sexual instability issues

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
  • Method for detecting content of lysine based on near-infrared spectrum characteristic data extraction technology
  • Method for detecting content of lysine based on near-infrared spectrum characteristic data extraction technology
  • Method for detecting content of lysine based on near-infrared spectrum characteristic data extraction technology

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0043] In this embodiment, the content of lysine in the sample of feed additive L-lysine sulfate is detected by using the feature data extraction technology of near-infrared spectrum.

[0044] The method for establishing a model for rapid detection of lysine content based on near-infrared spectral feature data extraction technology described in this embodiment specifically includes the following steps:

[0045] (1) Sample collection and preparation

[0046] Take 57 samples of feed additive L-lysine sulfate from known sources, all of which are from enterprises; each sample is crushed with a cyclone mill and passed through a 60-mesh sieve; and then placed in an oven at 105°C for 5 hours. Drying means drying the pulverized sample to be tested.

[0047] (2) Determination of sample lysine content

[0048] Place each sample in an oven at 105°C for 5 hours for drying, and then determine the content of lysine in the dried samples according to the acid hydrolysis method in "Determina...

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 discloses a method for detecting the content of lysine rapidly on the basis a near-infrared spectrum characteristic data extraction technology. According to the near-infrared spectrum characteristic data extraction technology, data information related to lysine in a sample spectrum is extracted by using a competitive self-adaptive weighting algorithm, and a near-infrared calibrationmodel is established, so that the content of lysine in a feed additive, namely L-lysine sulfate, can be rapidly, efficiently and accurately detected. By adopting the method for rapidly detecting the content of lysine, as characteristic data related to substances to be detected are extracted, data amounts for establishing calibration models are reduced, the near-infrared modeling efficiency and themodel accuracy are improved, a great number of samples can be rapidly and well detected, the detection cost is reduced, and the defect that an acid hydrolysis method in the standard Determination ofAmino Acids in Feeds (GB / T 18246-2000) takes a long time and has high consumption and high instrument operation requirements is remarkably alleviated.

Description

technical field [0001] The invention belongs to the technical field of feed detection, and in particular relates to a method for rapidly detecting lysine content in feed additive L-lysine sulfate based on near-infrared spectrum characteristic data extraction technology. Background technique [0002] Feed additives refer to small or trace substances added during feed production, processing and use. Although the amount is small, the effect is significant. Feed additives are inevitable raw materials used in the modern feed industry. They have obvious effects on strengthening the nutritional value of basic feed, improving animal production performance, ensuring animal health, saving feed cost, and improving the quality of animal products. [0003] L-lysine is one of the eight essential amino acids that are necessary in humans and animals but cannot be synthesized by themselves. Lack of lysine in humans and animals will cause metabolic disorders in the body and cause certain phys...

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 Applications(China)
IPC IPC(8): G01N21/359
CPCG01N21/359
Inventor 樊霞李守学贾铮肖志明李阳刘晓露
Owner INST OF QUALITY STANDARD & TESTING TECH FOR AGRO PROD OF CAAS
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products