Near infrared spectrum based discrimination method for Zhongning fructus lycii

A technology of near-infrared spectroscopy and identification method, which is applied in the field of Zhongning wolfberry identification, can solve the problems of high cost, excessive labeling of origin, disrupting the Zhongning wolfberry market, etc., and achieve the effect of easy operation

Inactive Publication Date: 2013-10-16
NORTHWEST A & F UNIV
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AI Technical Summary

Problems solved by technology

In order to seek violence, some unscrupulous traders have seriously disrupted the Zhongning goji berry market and hurt the economic interests of local farmers.
At present, in the discriminant analysis of Lycium barbarum, the identification of morphological characteristics and chemical methods are still the main methods. The morphological method for identifying the origin of Lycium barbarum is easily affected by human and external factors; while the chemical method requires pretreatment of samples. , the method is cumbersome and the cost is high

Method used

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  • Near infrared spectrum based discrimination method for Zhongning fructus lycii
  • Near infrared spectrum based discrimination method for Zhongning fructus lycii
  • Near infrared spectrum based discrimination method for Zhongning fructus lycii

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Effect test

Embodiment 1

[0043] Embodiment 1: Ningxia Zhongning Lycium barbarum discriminant analysis

[0044] 1. Sample collection:

[0045] Collect 42 representative wolfberry samples, including 26 from Zhongning wolfberry in Ningxia and 16 from non-Ningxia Zhongning wolfberry. Randomly divided into two categories, 35 samples for the calibration set and 7 samples for the validation set.

[0046] 2. Spectrum collection:

[0047] Put the collected medlar samples in the sample cup, and use the integrating sphere diffuse reflection spectrum measurement method, the spectrum acquisition range: 12000cm -1 ~4000cm -1 , number of scans: 32 times, resolution: 4cm -1 .

[0048] 3. Spectral analysis:

[0049] The wave number range of the wolfberry sample obtained is 10000cm -1 -4000cm -1 Raw spectrograms, such as figure 1 shown.

[0050] Depend on figure 1 It can be seen that the near-infrared spectra of Ningxia Zhongning wolfberry and non-Ningxia Zhongning wolfberry are relatively close, and both are ...

Embodiment 2

[0057] Embodiment 2: Discriminant analysis of Lycium barbarum and introduced varieties in Zhongning, Ningxia

[0058] 1. Sample collection:

[0059] Collect 28 representative samples of Lycium barbarum, including 16 samples of Lycium barbarum introduced from Zhongning, Ningxia, all of which are blind samples, that is, before the test results come out, the tester does not know the source information of the samples.

[0060] 2. Spectrum collection:

[0061] Put the collected medlar samples in the sample cup, and use the integrating sphere diffuse reflection spectrum measurement method, the spectrum acquisition range: 12000cm -1 ~4000cm -1 , number of scans: 32 times, resolution: 4cm -1 .

[0062] 3. Detection and analysis

[0063] Select near-infrared spectral region 6500cm -1 ~5200cm -1 , directly calling the discriminant detection model of Ningxia Zhongning Lycium barbarum and non-Ningxia Zhongning Lycium barbarum for comparison and analysis, the results showed that: Am...

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Abstract

The invention discloses a near infrared spectrum based discrimination method for Zhongning fructus lycii. The method includes: taking a near infrared spectrometer as a detecting tool, scanning the near infrared spectrum of a fructus lycii sample, conducting distance discriminant analysis on the near infrared spectrum of the fructus lycii sample, in a spectral wavelength range of 6500-5200cm<-1>, by adopting a pretreatment method combining an original spectrum with a multiplicative scatter correction method and the original spectrum with a standard normal variate transformation method, establishing a fructus lycii production place discriminant analysis model and carrying out discriminant analysis on the production place of the fructus lycii sample. The method can reach a recognition rate up to over 90%. During operation, the fructus lycii sample has no need for any treatment. Being nondestructive, rapid and real-time, the method does not employ any reagent, has no harm to human body and environment, and can replace traditional high cost, time-consuming, and laboursome production place discrimination method, thus being a near infrared spectrum based new method for rapid discrimination of the fructus lycii production place.

Description

technical field [0001] The invention belongs to the field of chemical analysis and detection, and in particular relates to a method for discriminating Zhongning wolfberry fruit based on near-infrared spectroscopy. Background technique [0002] Lycium barbarum (Lycium barbarum L.) is a multi-branched shrub of the genus Lycium barbarum in the family Solanaceae. Lycium barbarum is the dry and mature fruit of Lycium barbarum. effect. The formation of effective components of Lycium barbarum is closely related to soil, climate and ecological environment. "Chinese Pharmacopoeia" (2010 edition) only defines wolfberry produced in Ningxia as medicinal wolfberry, and wolfberry in Zhongning County is one of the treasures, and has the reputation of "Zhongning wolfberry is the best in the world". The quality of goji berries from different origins varies greatly, and their prices vary greatly. In order to seek violence, some unscrupulous traders have seriously disrupted the Zhongning wo...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N21/35
Inventor 于修烛高锦明淡海许春瑾王长如
Owner NORTHWEST A & F UNIV
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