Predicting Concentrations of Mixed Sugar Solutions with a Combination of Resonant Plasmon-Enhanced SEIRA and Principal Component Analysis.

Pfezer, Diana; Karst, Julian; Hentschel, Mario; Giessen, Harald

Pfezer, Diana; Karst, Julian; Hentschel, Mario; Giessen, Harald.

Afiliação

Pfezer D; 4th Physics Institute and Research Center SCoPE, University of Stuttgart, Pfaffenwaldring 57, 70569 Stuttgart, Germany.
Karst J; 4th Physics Institute and Research Center SCoPE, University of Stuttgart, Pfaffenwaldring 57, 70569 Stuttgart, Germany.
Hentschel M; 4th Physics Institute and Research Center SCoPE, University of Stuttgart, Pfaffenwaldring 57, 70569 Stuttgart, Germany.
Giessen H; 4th Physics Institute and Research Center SCoPE, University of Stuttgart, Pfaffenwaldring 57, 70569 Stuttgart, Germany.

Sensors (Basel) ; 22(15)2022 Jul 26.

Article em En | MEDLINE | ID: mdl-35898072

Assuntos

Carboidratos; Açúcares; Dissacarídeos/química; Glucose/análise; Humanos; Análise de Componente Principal; Água/química

Palavras-chave

biosensing; fructose; galactose; glucose; glucose sensor; lactose; machine learning; maltose; optical and noninvasive sensing; principal component analysis; surface-enhanced infrared absorption

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Carboidratos / Açúcares Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article

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