Identification of the Origin of Ziziphi Spinosae Semen Based on Near-infrared Spectroscopy and One-dimensional Convolutional Neural Network

In order to facilitate the rapid identification of the origin of Ziziphi Spinosae Semen and to conduct a quantitative analysis of adulteration, raw spectra of samples originating form five regions—Hebei, Henan, Shandong, Shanxi, and Shaanxi were collected using near-infrared spectroscopy (NIRS). Add...

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Bibliographic Details

Published in:	Shipin gongye ke-ji
Main Authors:	Xin LIU, Meng CHEN, Zhilei ZHAO, Wei GAO, Xin ZHAO
Format:	Article
Language:	Chinese
Published:	The editorial department of Science and Technology of Food Industry 2025-10-01
Subjects:	ziziphi spinosae semen near infrared spectroscopy geographical origin convolutional neural network partial least squares regression
Online Access:	http://www.spgykj.com/cn/article/doi/10.13386/j.issn1002-0306.2024110205