Quantitative analysis of ToF‐SIMS data of a two organic compound mixture using an autoencoder and simple artificial neural networks

Rationale Matrix effects cause a nonlinear relationship between ion intensities and concentrations in mass spectrometry, including time‐of‐flight secondary ion mass spectrometry (ToF‐SIMS). Here, two artificial neural network (ANN)‐based methods, autoencoder‐based and simple ANN methods, were employ...

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Vydáno v:	Rapid communications in mass spectrometry Ročník 37; číslo 4; s. e9445 - n/a
Hlavní autoři:	Aoyagi, Satoka, Matsuda, Kazuhiro
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	England Wiley Subscription Services, Inc 28.02.2023
Témata:	Artificial neural networks Butylated Hydroxytoluene Correlation coefficients Datasets Depth profiling Ions Linearity Mass spectrometry Mixtures Multilayers Negative ions Neural networks Neural Networks, Computer Organic Chemicals Organic compounds Phenylalanine Principal components analysis Qualitative analysis Quantitative analysis Scientific imaging Secondary ion mass spectrometry Spectrometry, Mass, Secondary Ion - methods Spectroscopy
ISSN:	0951-4198, 1097-0231, 1097-0231
On-line přístup:	Získat plný text
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