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Updated: Jun 17, 2026

Construction of Models for Nondestructive Prediction of Ingredient Contents in Blueberries by Near-infrared Spectroscopy Based on HPLC Measurements
10:25

Construction of Models for Nondestructive Prediction of Ingredient Contents in Blueberries by Near-infrared Spectroscopy Based on HPLC Measurements

Published on: June 28, 2016

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一种基于有序预测器选择和连续预测算法的新型变量选择方法,用于预测新鲜体中的胃质含量,使用里埃变量,近红外光谱和化学测量

Zhenjie Wang1, Changzhou Zuo1, Min Chen1

  • 1College of Food Science and Technology, Nanjing Agricultural University, No. 1 Weigang Road, Nanjing 210095, China.

Foods (Basel, Switzerland)
|December 23, 2023
PubMed
概括

一项新的研究开发了一种使用福里埃变换近红外光谱 (FT-NIR) 的快速,非破坏性方法,以准确测量Gastrodia elata.中的胃素含量. 这种技术可以提高这种有价值的药用草本的质量控制.

关键词:
这种植物是 Gastrodia elata.这是一种胃口,一种胃口.多重线性回归 (MLR) 方法接近红外光谱学 (NIRS)部分最小平方 (PLS)

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Analysis of Raw and Processed Cyperi Rhizoma Samples Using Liquid Chromatography-Tandem Mass Spectrometry in Rats with Primary Dysmenorrhea07:36

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