1D convolutional neural network for the discrimination of aristolochic acids and their analogues based on near-infrared spectroscopy-Reference-Cited by-同舟云学术

1D convolutional neural network for the discrimination of aristolochic acids and their analogues based on near-infrared spectroscopy

Published:2019 Issue:40 Volume:11 Page:5118-5125
ISSN:1759-9660
Container-title:Analytical Methods
language:en
Short-container-title:Anal. Methods

Author:

Chen Xiaoyi¹²³⁴⁵,Chai Qinqin¹²³⁴⁵^ORCID,Lin Ni⁶⁷³⁴,Li Xianghui⁶⁷³⁴,Wang Wu¹²³⁴⁸

Affiliation:

1. College of Electrical Engineering and Automation

2. Fuzhou University

3. Fuzhou

4. China

5. Key Laboratory of Industrial Automation Control Technology and Information Processing

6. Medical Technology and Engineering College

7. Fujian Medical University

8. Ministry of Education Key Laboratory of Medical Instrument and Pharmaceutical Technology

Abstract

An end-to-end 1D-CNN based on the NIRS technique is proposed to non-destructively and effectively discriminate aristolochic acids and their analogues.

Funder

National Natural Science Foundation of China

Fuzhou University

Publisher

Royal Society of Chemistry (RSC)

Subject

General Engineering,General Chemical Engineering,Analytical Chemistry

Link

http://pubs.rsc.org/en/content/articlepdf/2019/AY/C9AY01531K

Reference28 articles.

1. Hepatic Premalignant Alterations Triggered by Human Nephrotoxin Aristolochic Acid I in Canines

2. Rapidly progressive interstitial renal fibrosis in young women: association with slimming regimen including Chinese herbs

3. Aristolochic acids and their derivatives are widely implicated in liver cancers in Taiwan and throughout Asia

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