Quantitative TLC-SERS detection of histamine in seafood with support vector machine analysis.

Tan, Ailing; Zhao, Yong; Sivashanmugan, Kundan; Squire, Kenneth; Wang, Alan X

Tan, Ailing; Zhao, Yong; Sivashanmugan, Kundan; Squire, Kenneth; Wang, Alan X.

Afiliação

Tan A; School of Electrical Engineering and Computer Science, Oregon State University, Corvallis, OR, 97331, USA.
Zhao Y; School of Information Science and Engineering, The Key Laboratory for Special Fiber and Fiber Sensor of Hebei Province, Yanshan University, Qinhuangdao, Hebei 066004, P.R. China.
Sivashanmugan K; School of Electrical Engineering and Computer Science, Oregon State University, Corvallis, OR, 97331, USA.
Squire K; School of Electrical Engineering, The Key Laboratory of Measurement Technology and Instrumentation of Hebei Province, Yanshan University, Qinhuangdao, Hebei 066004, P.R. China.
Wang AX; School of Electrical Engineering and Computer Science, Oregon State University, Corvallis, OR, 97331, USA.

Food Control ; 103: 111-118, 2019 Sep.

Article em En | MEDLINE | ID: mdl-31827314

Palavras-chave

Histamine; Machine Learning; Seafood allergen; Support vector regression; Surface-enhanced Raman scattering; Thin layer chromatography

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Texto completo: 1 Bases de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Food Control Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Estados Unidos

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