Method for tracing to production places of market saffron via ATR-FTIR in combination with RBF neural network

A neural network and saffron technology, applied in biological neural network models, neural architectures, instruments, etc., can solve the problems of unclear origin of saffron, and consumers cannot identify the origin of saffron on the market, and achieve detection. The effect of low cost, high accuracy and fast analysis speed

Active Publication Date: 2019-10-25
HUZHOU CENT HOSPITAL
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Problems solved by technology

[0005] Aiming at the fact that the place of origin of saffron sold in the market is not clear, and consumers cannot correctly identify the origin of saffron on the market, the present invention provides an ATR-FTIR combined with RBF neural network to analyze the origin of saffron on the market. For the method of traceability of origin, the present invention takes 129 saffron samples collected from 7 different countries as the ...

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  • Method for tracing to production places of market saffron via ATR-FTIR in combination with RBF neural network
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  • Method for tracing to production places of market saffron via ATR-FTIR in combination with RBF neural network

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Embodiment 1

[0034] 1 Materials and Instruments

[0035] 1.1 Sample

[0036] All saffron samples are marketed saffron medicinal materials, which were identified as dried stigmas of saffron (Crocussativus L.) by Associate Professor Zhou Guifen. The geographic origins of the 129 commercially available samples were China (n=42) (including Zhejiang (n=21), Shanghai (n=11), Jiangsu (n=10)), Italy (n=8), Morocco (n =12), Greece (n=12), Spain (n=14), Afghanistan (n=19), Iran (n=22), the sample size of each group is represented by n. The saffron samples produced in China were purchased through domestic medicinal material sales enterprises or retailers, and the samples from other countries were purchased through domestic medicinal material distributors or e-commerce sales channels. Since this research is conducted on commercially available saffron from different origins, the collection of samples does not take into account factors such as harvesting year, brand, and grade, but all samples need to...

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Abstract

The invention relates to the technical field of identification of traditional Chinese medicines, and discloses a method for tracing to production places of market saffron via ATR-FTIR in combination with a RBF neural network. The method comprises the steps of 1, pretreating a sample; 2, collecting infrared spectrum data; 3, pretreating spectrum data; and 4, putting data into a model: putting dataacquired in the step 3 into a RBF neural network tracing model, and judging the production place of the sample according to a result. According to the method, the 129 collected saffron samples produced by 7 different countries are used as research objects, and a saffron production place judgment model having less limitation on the analysis samples is built by using an ATR-FTIR united quantitativeanalysis technique; the method provided by the invention is high in accuracy, high in analysis speed, less in sample consumption and low in detection cost, and does not need standard substances.

Description

technical field [0001] The invention relates to the technical field of identification of traditional Chinese medicinal materials, in particular to a method for tracing the origin of commercially available saffron by combining ATR-FTIR with RBF neural network. Background technique [0002] Saffron is the dry red stigma of Crocus sativus L., a plant of the Iridaceae family. It has the effects of promoting blood circulation and removing blood stasis, cooling blood and detoxifying, relieving depression and calming the nerves. It is one of the new "Zhejiang Bawei" varieties in Zhejiang Province. Saffron is native to the Mediterranean region, and the main production area in the world is in the Khorasan region in southern Iran. In 1986, my country began to introduce and cultivate it in Chongming Island, Shanghai, and Jiande, Zhejiang. Although Shanghai and Zhejiang are newly introduced places, due to different cultivation models, the quality of saffron is much higher than that in m...

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Application Information

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IPC IPC(8): G01N21/3563G06F17/50G06N3/04
CPCG01N21/3563G06N3/04G01N2021/3595G06F30/20
Inventor 姚冲钱晓东李丽琴
Owner HUZHOU CENT HOSPITAL
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