2020•The AnalystOpen access

Correction: Feasibility of attenuated total reflection-fourier transform infrared (ATR-FTIR) chemical imaging and partial least squares regression (PLSR) to predict protein adhesion on polymeric surfaces

S. Mukherjee, José Ángel Martı́nez-González, Aoife Gowen

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Abstract

Correction for ‘Feasibility of attenuated total reflection-fourier transform infrared (ATR-FTIR) chemical imaging and partial least squares regression (PLSR) to predict protein adhesion on polymeric surfaces’ by S. Mukherjee et al. , Analyst , 2019, 144 , 1535–1545. DOI: 10.1039/C8AN01768A

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Correction for ‘Feasibility of attenuated total reflection-fourier transform infrared (ATR-FTIR) chemical imaging and partial least squares regression (PLSR) to predict protein adhesion on polymeric surfaces’ by S. Mukherjee et al. , Analyst , 2019, 144 , 1535–1545. DOI: 10.1039/C8AN01768A

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Available abstract

Correction for ‘Feasibility of attenuated total reflection-fourier transform infrared (ATR-FTIR) chemical imaging and partial least squares regression (PLSR) to predict protein adhesion on polymeric surfaces’ by S. Mukherjee et al. , Analyst , 2019, 144 , 1535–1545. DOI: 10.1039/C8AN01768A

Key concepts: Partial least squares regression, Attenuated total reflection, Fourier transform infrared spectroscopy, Fourier transform, Infrared, Chemistry, Reflection (computer programming), Analytical Chemistry (journal)

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Correction: Feasibility of attenuated total reflection-fourier transform infrared (ATR-FTIR) chemical imaging and partial least squares regression (PLSR) to predict protein adhesion on polymeric surfaces — Research Paper | ScholarLens