Method for establishing agilawood oil content near infrared spectral prediction model

A technology of near-infrared spectroscopy and prediction models, which is applied in the establishment of near-infrared spectroscopy prediction models and the establishment of near-infrared spectroscopy prediction models of agarwood oil content, which can solve the problems of uncommon large plants, low accuracy, and easy loss of germination of seeds question

Inactive Publication Date: 2015-07-22
SOUTH CHINA AGRI UNIV
View PDF6 Cites 23 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Natural wild agarwood resources used to be very rich, and there was a record in the history books that "trunks and branches are connected, mountains and ridges are connected, and there is no end to thousands of miles". It has been severely damaged, coupled with the fact that the seeds are easy to lose germination ability and the natural regeneration ability is weak, the natural growth of Agarwood agarwood population is rare, only scattered disabled plants are scattered, and la

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 establishing agilawood oil content near infrared spectral prediction model
  • Method for establishing agilawood oil content near infrared spectral prediction model
  • Method for establishing agilawood oil content near infrared spectral prediction model

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0106] The establishment of a near-infrared spectrum prediction model for the oil content of agarwood, comprising the following steps:

[0107] 1. Spectrum collection: Take 5g of agarwood sample powder, put it into the sample cup of the near-infrared instrument, let the sample naturally fill the sample cup, flatten it naturally, do not shake or squeeze, use air as a reference, and collect near-infrared after deducting the background Spectrum, the near-infrared spectrum value of the sample is obtained. Each agarwood sample adopts the spectral collection method of repeating the sample loading 3 times and scanning 3 times; the spectral data of the agarwood powder is collected by using the DA7200 near-infrared spectrum analyzer, and then obtained from the Simplicity TM In the software, the collected spectral data is imported into the chemometric software The Unscrambler9.8 in the format of JCAMP-DX, and the near-infrared original spectrum of the agarwood powder sample can be obtain...

Embodiment 2

[0118] The establishment of a near-infrared spectrum prediction model for the oil content of agarwood, comprising the following steps:

[0119] 1. Spectrum collection: Take 5g of agarwood sample powder, put it into the sample cup of the near-infrared instrument, let the sample naturally fill the sample cup, flatten it naturally, do not shake or squeeze, use air as a reference, and collect near-infrared after deducting the background Spectrum, the near-infrared spectrum value of the sample is obtained. Each agarwood sample adopts the spectral collection method of repeating the sample loading 3 times and scanning 3 times; the spectral data of the agarwood powder is collected by using the DA7200 near-infrared spectrum analyzer, and then obtained from the Simplicity TM In the software, the collected spectral data is imported into the chemometric software The Unscrambler9.8 in the format of JCAMP-DX, and the near-infrared original spectrum of the agarwood powder sample can be obtain...

Embodiment 3

[0130] The establishment of a near-infrared spectrum prediction model for the oil content of agarwood, comprising the following steps:

[0131] 1. Spectrum collection: Take 5g of agarwood sample powder, put it into the sample cup of the near-infrared instrument, let the sample naturally fill the sample cup, flatten it naturally, do not shake or squeeze, use air as a reference, and collect near-infrared after deducting the background Spectrum, the near-infrared spectrum value of the sample is obtained. Each agarwood sample adopts the spectral collection method of repeating the sample loading 3 times and scanning 3 times; the spectral data of the agarwood powder is collected by using the DA7200 near-infrared spectrum analyzer, and then obtained from the Simplicity TM In the software, the collected spectral data is imported into the chemometric software The Unscrambler9.8 in the format of JCAMP-DX, and the near-infrared original spectrum of the agarwood powder sample can be obtain...

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 relates to a method for establishing an agilawood oil content near infrared spectral prediction model, and belongs to the technical field of physical and chemical detection. The method comprises the following steps: acquiring spectral data of agilawood powder by applying a DA7200 near-infrared spectrum analyzer; then guiding the spectral data acquired from Simplicity TM software in a format of JCAMP-DX into chemometrics software The Unscrambler 9.8 so as to obtain a near-infrared original spectrogram of an agilawood powder sample; and then correlating the convectional determined result of the agilawood oil content and near-infrared spectral data of a sample pretreated by spectrum by a partial least squares so as to establish the agilawood oil content near infrared spectral prediction model. The established model is relatively high in model prediction accuracy, can be used for actually predicting an unknown sample, and can be mainly used for detecting the fragrance formation quality of agilawood rapidly.

Description

technical field [0001] The invention relates to the establishment of a near-infrared spectrum prediction model, in particular to the establishment of a near-infrared spectrum prediction model for the oil content of agarwood, and belongs to the technical field of physical and chemical detection. Background technique [0002] In recent years, with optical fiber With the development of sensing technology and the further deepening of the combination of near-infrared spectroscopy detection technology and computer network technology, non-invasive qualitative and quantitative analysis of near-infrared spectroscopy technology has become possible. Light has different absorption and scattering characteristics, so near-infrared light has a strong ability to distinguish different soft tissues and changing tissues. Based on this property, some optical properties of tissues can be measured using near-infrared spectroscopy. parameter In order to obtain certain physiological parameters o...

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
IPC IPC(8): G01N21/3563G01N21/359
Inventor 黄少伟阮唯坚罗峰蒋开斌刘天颐刘纯鑫赵静
Owner SOUTH CHINA AGRI UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products