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Method for distinguishing variety of fritillaria and detecting total alkaloid content of fritillaria by virtue of near infrared spectrum

A near-infrared spectrum and near-infrared technology, applied in the field of optical applications, can solve problems such as difficult to achieve rapid detection and complicated operation

Inactive Publication Date: 2011-09-07
DALIAN UNIV OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The sample processing process and operation are complicated, and it is difficult to achieve rapid detection

Method used

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  • Method for distinguishing variety of fritillaria and detecting total alkaloid content of fritillaria by virtue of near infrared spectrum
  • Method for distinguishing variety of fritillaria and detecting total alkaloid content of fritillaria by virtue of near infrared spectrum
  • Method for distinguishing variety of fritillaria and detecting total alkaloid content of fritillaria by virtue of near infrared spectrum

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0095] Qualitative identification of Fritillaria from three localities. The instrument selects the Fourier transform near-infrared spectrometer of BRUER company, the model is MPA, selects Zhejiang Dazhe Fritillaria, Chuanbei Middle Furnace Fritillary, Northeast Flat Fritillaria, sieves an appropriate amount of powder, puts it in a measuring cup, and uses gold foil as a reference , integrating sphere diffuse reflection, scanning times 32 times, scanning range 3700~12000cm -1 , resolution 4cm -1 . Each sample was repeated 5 times, and the average spectrum was obtained in the middle 3 times. The first derivative method (first derivative) was used as the spectral preprocessing method, and the first range calibration method (scaling to 1st range) was used as the algorithm. The number of smoothing points was 13. Select the band 3980.6 ~ 8983.4cm -1 , the parameter x is 10, and the model is established, and the selectivity coefficient S>2 of the model, that is, the model is highly...

Embodiment 2

[0097] Qualitative identification of Fritillaria grandis and Fritillaria minorus. The instrument selects the Fourier transform near-infrared spectrometer of BRUER company, the model is MPA, selects large and small Fritillaria sieve powder, puts them in the measuring cup, uses gold foil as a reference, diffuse reflection of the integrating sphere, and scans 32 times , scanning range 3700~12000cm -1 , resolution 4cm -1. Each sample was repeated 5 times, and the average spectrum was obtained in the middle 3 times. The first derivative method (first derivative) was used as the spectral preprocessing method, and the first range calibration method (scaling to 1st range) was used as the algorithm. The number of smoothing points was 13. Select the band 3980.6 ~ 8983.4cm -1 , the parameter x is 10, and the selectivity coefficient of the model built by the model is S>2, that is, the model is highly scientific. Using the sample spectrum of the verification set to pass the model ident...

Embodiment 3

[0099] Qualitative identification of Chuan Fritillaria, Pine Fritillaria and Green Fritillaria. The instrument selects the Fourier transform near-infrared spectrometer of BRUER company, the model is MPA, and selects the appropriate amount of sieved powder of the furnace fritillary, pine fritillaria, and green fritillaria, and puts it in the measuring cup, with gold foil as the reference, the diffuse reflection of the integrating sphere, and the number of scans 32 times, scanning range 3700~12000cm -1 , resolution 4cm -1 . Each sample was repeated 5 times, and the average spectrum was obtained in the middle 3 times. The first derivative method (first derivative) was used as the spectral preprocessing method, and the first range calibration method (scaling to 1strange) was used as the algorithm. The number of smoothing points was 13. Select Band 3996.1~8983.4cm -1 , the parameter x is 10, and the model is established. Using the sample spectrum of the verification set to iden...

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Abstract

The invention provides a method for distinguishing variety of fritillaria and detecting total alkaloid content of the fritillaria by virtue of near infrared spectrum. The method provided by the invention comprises the following steps: (1) collecting a fritillaria sample; (2) measuring the near infrared diffuse reflection spectrogram of the fritillaria sample, preprocessing the 4000-5000cm<-1> wave band in the spectrogram, and performing cluster analysis on the pre-processed near infrared spectrogram to build a qualitative model; or preprocessing the 4000-7000cm<-1> wave band in the spectrogram, so as to obtain an absorbance, associating the absorbance with the alkaloid content of the sample measured by virtue of bromothymol blue colorimetry, and building a quantitative correction model for detecting alkaloid by one or more methods of a partial least squares method, a principal component regression method and a multiple linear regression method; (3) collecting the near infrared spectrogram of the sample to be measured, after the corresponding preprocessing is performed, distinguishing the variety of the fritillaria and detecting total alkaloid content of the fritillaria by utilizing the built qualitative model or quantitative correction model. The method provided by the invention has the characteristics of fast speed, no damage, environment friendliness and low cost.

Description

technical field [0001] The invention belongs to the field of optical applications, in particular to a method for quickly identifying different varieties of Fritillaria and detecting its total alkaloid content by near-infrared spectroscopy. Background technique [0002] The composition of various Fritillaria is similar, and it is quite difficult to use the unique chemical composition of Fritillaria to distinguish different varieties of Fritillaria. Five kinds of Fritillaria in Chinese Pharmacopoeia lack physical and chemical identification items (Chinese Pharmacopoeia Two, Chemical Industry Press, 2005). There have been many reports using character identification, ultraviolet spectroscopy, thin-layer chromatography, DNA chip technology, mass spectrometry, evaporative light dispersion method, derivatization method, etc. This has been reported by using biological and histological and molecular biological methods to identify the species category of Fritillaria (Character identi...

Claims

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Application Information

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IPC IPC(8): G01N21/47
Inventor 孟昱赵伟杰王世盛李悦青姜博海蔡蕊宋其玲高志刚
Owner DALIAN UNIV OF TECH
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