Integrating deep learning and near-infrared spectroscopy for quality control of traditional Chinese medicine extracts-Reference-Cited by-同舟云学术

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Integrating deep learning and near-infrared spectroscopy for quality control of traditional Chinese medicine extracts

Published:2024-10 Issue: Volume:205 Page:111310
ISSN:0026-265X
Container-title:Microchemical Journal
language:en
Short-container-title:Microchemical Journal

Author:

Peng Cheng,Zhang Mengyu,Kong Mengdi,Zhang Shudi,Li Chang,Feng Tingting,Tian Weilu,Nie Lei,Zang Hengchang

Funder

National Key Research and Development Program of China

Natural Science Foundation of Shandong Province

Key Technology Research and Development Program of Shandong Province

Publisher

Elsevier BV

Reference37 articles.

1. Development of chromatographic technologies for the quality control of Traditional Chinese Medicine in the Chinese Pharmacopoeia;Shen;J. Pharm. Anal.,2021

2. Analytical strategies for the discovery and validation of quality-markers of traditional Chinese medicine;Ren;Phytomedicine,2020

3. Dual-spectrum online monitoring of puerarin and total flavonoids contents during the extraction process of Pueraria lobata;Xu;Talanta,2022

4. Classification and rapid non-destructive quality evaluation of different processed products of Cyperus rotundus based on near-infrared spectroscopy combined with deep learning;Shi;Talanta,2024

5. Exploring deep learning to predict coconut milk adulteration using FT-NIR and micro-NIR spectroscopy;Sitorus;Sensors,2024

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