Reaction Analysis and Process Optimization with Online Infrared Data Based on Kinetic Modeling and Partial Least Squares Quantitation.

Ni, Liwei; Qiu, Wenze; Jin, Jialei; Xu, Qiyue; Ye, Shuliang

Ni, Liwei; Qiu, Wenze; Jin, Jialei; Xu, Qiyue; Ye, Shuliang.

Afiliación

Ni L; Institute of Industry and Trade Measurement Technology, 92270China Jiliang University, Hangzhou, China.
Qiu W; Institute of Industry and Trade Measurement Technology, 92270China Jiliang University, Hangzhou, China.
Jin J; Institute of Industry and Trade Measurement Technology, 92270China Jiliang University, Hangzhou, China.
Xu Q; Institute of Industry and Trade Measurement Technology, 92270China Jiliang University, Hangzhou, China.
Ye S; Institute of Industry and Trade Measurement Technology, 92270China Jiliang University, Hangzhou, China.

Appl Spectrosc ; 76(11): 1356-1366, 2022 Nov.

Article en En | MEDLINE | ID: mdl-36065933

Asunto(s)

Análisis de los Mínimos Cuadrados; Espectroscopía Infrarroja por Transformada de Fourier/métodos; Cinética; Análisis de Fourier

Palabras clave

FT-IR; In-situ Fourier transform infrared; partial least squares; process optimization; reaction kinetics; reaction modeling, quantitative analysis

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Análisis de los Mínimos Cuadrados Tipo de estudio: Prognostic_studies Idioma: En Revista: Appl Spectrosc Año: 2022 Tipo del documento: Article País de afiliación: China Pais de publicación: Estados Unidos

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