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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/Spectrum+Two+N+FT-NIR+Spectrometer/pmc10459238-150-17-20
    Average 91 stars, based on 56 article reviews
    ft ir spectra - by Bioz Stars, 2026-11
    91/100 stars

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    other:

    Article Title: Approach to Pyrido[2,1- b ][1,3]benzothiazol-1-ones via In Situ Generation of Acyl(1,3-benzothiazol-2-yl)ketenes by Thermolysis of Pyrrolo[2,1- c ][1,4]benzothiazine-1,2,4-triones
    Article Snippet: IR spectra were recorded on a Perkin–Elmer Spectrum Two spectrometer (PerkinElmer Inc., Waltham, MA, USA) from mulls in mineral oil.

    Article Title: Cytosporones W and X: Two Mutually Converting Epimers from a Mangrove Endophytic Fungus Diaporthe sp. ZJHJYZ-1
    Article Snippet: IR spectra were achieved on a PerkinElmer Frontier FT-IR spectrometer.

    Article Title: Tamarind Seed Polysaccharide Hydrolysate Ameliorates Dextran Sulfate Sodium-Induced Ulcerative Colitis via Regulating the Gut Microbiota
    Article Snippet: The infrared spectra of TSP and TSPH in the vibrational region 4000–500 cm −1 were measured with FT-IR Spectra (L1390021, PerkinElmer, Waltham, MA, USA).

    Article Title: In Situ Adsorption of Red Onion ( Allium cepa ) Natural Dye on Cellulose Model Films and Fabrics Exploiting Chitosan as a Natural Mordant
    Article Snippet: The spectra were acquired using a PerkinElmer Spectrum Two spectrometer (Waltham, MA).

    Article Title: Green Technologies for Persimmon By-Products Revalorisation as Sustainable Sources of Dietary Fibre and Antioxidants for Functional Beverages Development
    Article Snippet: The infrared spectra were performed using a PerkinElmer Spectrum 3 FT-IR/NIR/FIR spectrometer over a frequency range between 4000 cm −1 and 500 cm −1 .

    Article Title: Electrochemical sensor based on epoxy-functionalized BEA nanozeolite and graphene oxide modified glassy carbon electrode for bisphenol E determination
    Article Snippet: FT-IR spectra were acquired using a PerkinElmer Frontier FT-IR spectrometer equipped with an ATR accessory.

    Article Title: A 12-Connected [Y 4 (( μ 3 -OH) 4 ] 8+ Cluster-Based Luminescent Metal-Organic Framework for Selective Turn-on Detection of F − in H 2 O
    Article Snippet: FT-IR spectra were recorded in the range of 4000–450 cm −1 on a PerkinElmer Frontier spectrometer (Norwalk, CT, USA).

    Starch:

    Article Title: Effect of Ball-Milling on Starch Crystalline Structure, Gelatinization Temperature, and Rheological Properties: Towards Enhanced Utilization in Thermosensitive Systems
    Article Snippet: .. The spectra of the starch samples were obtained using a PerkinElmer ® Spectrum Two spectrometer (PerkinElmer, Houston, TX, USA) with a resolution of 4 cm −1 , wavelength range from 4000 to 600 cm −1 , and 32 scans. ..



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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: