2018•The AnalystOpen access

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.

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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.

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OpenAlex reports 7 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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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.

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

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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