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opus software version 7.8  (Bruker Corporation)


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    Bruker Corporation opus software version 7.8
    Opus Software Version 7.8, supplied by Bruker Corporation, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/opus+software+version+7%2E8/opus+software+version+6+5/10__20517_slash_wecn__2024__65-88-31-13
    Average 90 stars, based on 1 article reviews
    opus software version 7.8 - by Bioz Stars, 2026-10
    90/100 stars

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    other:


    Article Title: Synchrotron Photothermal Infrared Nanospectroscopy of Drug-Induced Phospholipidosis in Macrophages.
    Article Snippet: SR RE-AFM-IR absorption spectra were cropped from 3800 cm-1 to 900 cm-1 before vector normalisation using the OPUS software version 7.8 (Bruker Optics).

    Article Title: Impact of Processing Parameters on the Quality of Pharmaceutical Solid Dosage Forms Produced by Fused Deposition Modeling (FDM)
    Article Snippet: Spectral analysis was conducted using OPUS software, version 7.8 (Bruker Optics Ltd., Coventry, United Kingdom).

    Article Title: Exploration of macromolecular phenotype of human skeletal muscle in diabetes using infrared spectroscopy
    Article Snippet: The OPUS software version 7.8 (Bruker, Billerica, MA, USA) was used for compensation of atmospheric water and CO 2 and for baseline correction of the measured ATR-FTIR spectra of tissue samples and water.

    Article Title: The anti-oxidative effect of Lingzhi protein hydrolysates on lipopolysaccharide-stimulated A549 cells
    Article Snippet: Lingzhi (Ganoderma lucidum) is an oriental fungus used as a traditional Chinese medicine.. To study the distribution of protein of Lingzhi, synchrotron radiation based FTIR was chosen to identify a rich-protein region.. Lingzhi was subsequently hydrolyzed with pepsin followed by trypsin to obtain hydrolysates and purified using an ultrafiltration (3 kDa cut-off) and a C18-SPE column.

    Article Title: Quantification of microplastics in biowastes including biosolids, compost, and vermicompost destined for land application
    Article Snippet: All suspected particles identified under stereomicroscope (100%) were analyzed by micro-Fourier-transform infrared (μ-FTIR) [Bruker Hyperion 2000 (coupled to a Vertex 70 spectrometer), equipped with a mercury cadmium telluride (MCT) detector and potassium bromide (KBr) beamsplitter, OPUS software version 7.8].

    Article Title: Drop-on-demand printing of personalised orodispersible films fabricated by precision micro-dispensing.
    Article Snippet: The results were analysed using the OPUS software version 7.8 (Bruker Optics Ltd, Coventry, UK).

    Software:

    Article Title: Modeling Textural Properties of Cooked Germinated Brown Rice Using the near-Infrared Spectra of Whole Grain.
    Article Snippet: .. In this study, PLS regression was employed to predict the texture (quantification) of cooked GBR by using the spectra of GBR grains; OPUS software version: 7.8 (Bruker, Ger- many) and by MATLAB version: 9.13.0 (R2022b) were used [58]. .. In the MATLAB calcula- tion, LVs from 1 to 20 were used for modeling to compare their performances.



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    The statistics of textural properties of cooked  GBR  samples used for modeling by  MATLAB.

    Journal: Foods

    Article Title: Modeling Textural Properties of Cooked Germinated Brown Rice Using the near-Infrared Spectra of Whole Grain

    doi: 10.3390/foods12244516

    Figure Lengend Snippet: The statistics of textural properties of cooked GBR samples used for modeling by MATLAB.

    Article Snippet: In this study, PLS regression was employed to predict the texture (quantification) of cooked GBR by using the spectra of GBR grains; OPUS software version: 7.8 (Bruker, Germany) and by MATLAB version: 9.13.0 (R2022b) were used [ ].

    Techniques:

    The PLS regression result by  OPUS  software for prediction of textural quality of cooked GBR by using  GBR grains  spectra.

    Journal: Foods

    Article Title: Modeling Textural Properties of Cooked Germinated Brown Rice Using the near-Infrared Spectra of Whole Grain

    doi: 10.3390/foods12244516

    Figure Lengend Snippet: The PLS regression result by OPUS software for prediction of textural quality of cooked GBR by using GBR grains spectra.

    Article Snippet: In this study, PLS regression was employed to predict the texture (quantification) of cooked GBR by using the spectra of GBR grains; OPUS software version: 7.8 (Bruker, Germany) and by MATLAB version: 9.13.0 (R2022b) were used [ ].

    Techniques: Software, Adhesive