Evidence map›Paper›PMID 36970407›Full record

ArticleFrontiers in chemistry2023

Simultaneous quantitative chiral analysis of four isomers by ultraviolet photodissociation mass spectrometry and artificial neural network.

Yingying Shi, Ming Zhou, Min Kou, Kailin Zhang, Xianyi Zhang, Xianglei Kong

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Article in Frontiers in chemistry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Yingying ShiState Key Laboratory of Elemento-Organic Chemistry, College of Chemistry, Nankai University, Tianjin, China.
Ming ZhouState Key Laboratory of Elemento-Organic Chemistry, College of Chemistry, Nankai University, Tianjin, China.
Min KouState Key Laboratory of Elemento-Organic Chemistry, College of Chemistry, Nankai University, Tianjin, China.
Kailin ZhangLife and Health Intelligent Research Institute, Tianjin University of Technology, Tianjin, China.
Xianyi ZhangSchool of Physics and Electronic Information, Anhui Normal University, Wuhu, China.
Xianglei KongState Key Laboratory of Elemento-Organic Chemistry, College of Chemistry, Nankai University, Tianjin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although mass spectrometry (MS) has its unique advantages in speed, specificity and sensitivity, its application in quantitative chiral analysis aimed to determine the proportions of multiple chiral isomers is still a challenge. Herein, we present an artificial neural network (ANN) based approach for quantitatively analyzing multiple chiral isomers from their ultraviolet photodissociation mass spectra. Tripeptide of GYG and iodo-L-tyrosine have been applied as chiral references to fulfill the relative quantitative analysis of four chiral isomers of two dipeptides of

Indexed as

chiral analysisdipeptidemass spectrometrymultiple isomersultraviolet photodissociation

Identifiers

PMID36970407
PMCPMC10034024

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