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ft ir spectra  (Revvity)


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    Revvity ft ir spectra
    Ft Ir Spectra, supplied by Revvity, used in various techniques. Bioz Stars score: 91/100, based on 56 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/ft+nir+spectra/pmc10459238-150-17-20?v=Revvity
    Average 91 stars, based on 56 article reviews
    ft ir spectra - by Bioz Stars, 2026-08
    91/100 stars

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    Image Search Results


    Preprocessing of Fourier Transform Near-Infrared (FT-NIR) spectra for specialty green coffee. The raw FT-NIR spectra (A), baseline correction (B), Standard Normal Variate (SNV; C), Multiplicative Scatter Correction (MSC; D), first derivative (1 st D v ; E) and second derivative (2 nd D v ; F) of FT-NIR preprocessed spectra. The FT-NIR spectra are color-coded according to their sensory quality scores, with the corresponding color gradient indicated by a color bar.

    Journal: Data in Brief

    Article Title: Large dataset on Fourier transform near infrared (FT-NIR) spectroscopy of green and roasted specialty coffee: Preprocessed infrared spectra and sensory scores for machine learning-based quality monitoring

    doi: 10.1016/j.dib.2025.111609

    Figure Lengend Snippet: Preprocessing of Fourier Transform Near-Infrared (FT-NIR) spectra for specialty green coffee. The raw FT-NIR spectra (A), baseline correction (B), Standard Normal Variate (SNV; C), Multiplicative Scatter Correction (MSC; D), first derivative (1 st D v ; E) and second derivative (2 nd D v ; F) of FT-NIR preprocessed spectra. The FT-NIR spectra are color-coded according to their sensory quality scores, with the corresponding color gradient indicated by a color bar.

    Article Snippet: Mendeley Data Fourier Transform Near Infrared (FT-NIR) spectra and sensory scores in green and roasted specialty coffee for machine learning-based quality monitoring (Original data) .

    Techniques:

    Preprocessing of Fourier Transform Near-Infrared (FT-NIR) spectra for specialty roasted coffee. The raw FT-NIR spectra (A), baseline correction (B), Standard Normal Variate (SNV; C), Multiplicative Scatter Correction (MSC; D), first derivative (1 st D v ; E) and second derivative (2 nd D v ; F) of FT-NIR preprocessed spectra. The FT-NIR spectra are color-coded according to their sensory quality scores, with the corresponding color gradient indicated by a color bar.

    Journal: Data in Brief

    Article Title: Large dataset on Fourier transform near infrared (FT-NIR) spectroscopy of green and roasted specialty coffee: Preprocessed infrared spectra and sensory scores for machine learning-based quality monitoring

    doi: 10.1016/j.dib.2025.111609

    Figure Lengend Snippet: Preprocessing of Fourier Transform Near-Infrared (FT-NIR) spectra for specialty roasted coffee. The raw FT-NIR spectra (A), baseline correction (B), Standard Normal Variate (SNV; C), Multiplicative Scatter Correction (MSC; D), first derivative (1 st D v ; E) and second derivative (2 nd D v ; F) of FT-NIR preprocessed spectra. The FT-NIR spectra are color-coded according to their sensory quality scores, with the corresponding color gradient indicated by a color bar.

    Article Snippet: Mendeley Data Fourier Transform Near Infrared (FT-NIR) spectra and sensory scores in green and roasted specialty coffee for machine learning-based quality monitoring (Original data) .

    Techniques:

    Preprocessing of Fourier Transform Near-Infrared (FT-NIR) spectra for specialty green and roasted coffee. The raw FT-NIR spectra was preprocessed by applying the first derivative (1 st D v ; A) and second derivative (2 nd D v ; B) for green coffee beans, and first derivative (1 st D v ; C) and second derivative (2 nd D v ; D) for roasted coffee beans.

    Journal: Data in Brief

    Article Title: Large dataset on Fourier transform near infrared (FT-NIR) spectroscopy of green and roasted specialty coffee: Preprocessed infrared spectra and sensory scores for machine learning-based quality monitoring

    doi: 10.1016/j.dib.2025.111609

    Figure Lengend Snippet: Preprocessing of Fourier Transform Near-Infrared (FT-NIR) spectra for specialty green and roasted coffee. The raw FT-NIR spectra was preprocessed by applying the first derivative (1 st D v ; A) and second derivative (2 nd D v ; B) for green coffee beans, and first derivative (1 st D v ; C) and second derivative (2 nd D v ; D) for roasted coffee beans.

    Article Snippet: Mendeley Data Fourier Transform Near Infrared (FT-NIR) spectra and sensory scores in green and roasted specialty coffee for machine learning-based quality monitoring (Original data) .

    Techniques:

    Flowchart illustrating the experimental procedure for acquiring the dataset of Fourier Transform Near-Infrared (FT-NIR) spectra and sensory quality scores in green and roasted specialty coffee samples.

    Journal: Data in Brief

    Article Title: Large dataset on Fourier transform near infrared (FT-NIR) spectroscopy of green and roasted specialty coffee: Preprocessed infrared spectra and sensory scores for machine learning-based quality monitoring

    doi: 10.1016/j.dib.2025.111609

    Figure Lengend Snippet: Flowchart illustrating the experimental procedure for acquiring the dataset of Fourier Transform Near-Infrared (FT-NIR) spectra and sensory quality scores in green and roasted specialty coffee samples.

    Article Snippet: Mendeley Data Fourier Transform Near Infrared (FT-NIR) spectra and sensory scores in green and roasted specialty coffee for machine learning-based quality monitoring (Original data) .

    Techniques: