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attenuating total reflectance atr attachment  (Specac Inc)

 
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    Specac Inc attenuating total reflectance atr attachment
    Attenuating Total Reflectance Atr Attachment, supplied by Specac Inc, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/attenuating+total+reflectance+atr+attachment/atr+attachment+attenuating+reflectance+total/us12409228-290-22-21
    Average 86 stars, based on 1 article reviews
    attenuating total reflectance atr attachment - by Bioz Stars, 2026-10
    86/100 stars

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    Related Articles

    Fourier Transform Infrared Spectroscopy:

    Article Title: Hydrogel drug delivery systems for the treatment of pediatric growth plate injuries
    Article Snippet: .. Fourier Transform Infrared (FTIR) spectroscopy was performed on CS and I-CS using a Nicolet NEXUS 470 FTIR (Thermo) equipped with a Specac Attenuating Total Reflectance (ATR) attachment (Golden Gate; Kent, UK). ..

    Spectroscopy:

    Article Title: Hydrogel drug delivery systems for the treatment of pediatric growth plate injuries
    Article Snippet: .. Fourier Transform Infrared (FTIR) spectroscopy was performed on CS and I-CS using a Nicolet NEXUS 470 FTIR (Thermo) equipped with a Specac Attenuating Total Reflectance (ATR) attachment (Golden Gate; Kent, UK). ..



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    Study design and diagnostic models’ construction flow. AD, Alzheimer’s disease; MCI, mild cognitive impairment; DLB, Lewy Body dementia; FTD, frontal-temporal dementia; PSP, progressive supranuclear palsy; HC, healthy <t>control;</t> <t>ATR-FTIR,</t> attenuated total reflection Fourier transform infrared; GFAP, glial fibrillary acidic protein; RF, random forest.
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    Study design and diagnostic models’ construction flow. AD, Alzheimer’s disease; MCI, mild cognitive impairment; DLB, Lewy Body dementia; FTD, frontal-temporal dementia; PSP, progressive supranuclear palsy; HC, healthy control; ATR-FTIR, attenuated total reflection Fourier transform infrared; GFAP, glial fibrillary acidic protein; RF, random forest.

    Journal: eClinicalMedicine

    Article Title: Development and validation of machine learning models with blood-based digital biomarkers for Alzheimer’s disease diagnosis: a multicohort diagnostic study

    doi: 10.1016/j.eclinm.2025.103142

    Figure Lengend Snippet: Study design and diagnostic models’ construction flow. AD, Alzheimer’s disease; MCI, mild cognitive impairment; DLB, Lewy Body dementia; FTD, frontal-temporal dementia; PSP, progressive supranuclear palsy; HC, healthy control; ATR-FTIR, attenuated total reflection Fourier transform infrared; GFAP, glial fibrillary acidic protein; RF, random forest.

    Article Snippet: Spectra of plasma samples were obtained using an Alpha FTIR spectrometer with attenuated total reflection (ATR) attachment (Bruker Optics Ltd.), operated with OPUS 5.5 software.

    Techniques: Diagnostic Assay, Control, Fourier Transform Infrared Spectroscopy

    ATR-FTIR spectra comparison and diagnostic performance between AD, MCI and HC participants. (A) ATR-FTIR average spectra of patients with AD and HCs in Cohort 1 and the ATR-FTIR spectra of purified GFAP, p-Tau, Aβ42; AD spectra digital biomarkers were marked on the spectra of corresponding AD indicator biomarkers; (B) Box diagram of the six AD spectra digital biomarkers with significantly different levels between AD and HC participants in Cohort 1 ( p < 0.05); (C) ROC curve of the discrimination power of each AD spectra digital biomarker and all six AD spectra digital biomarkers on the test set in Cohort 1; (D) ROC curve of diagnostic performance for AD vs. HC in Cohort 2; (E) ROC curve of the discrimination power of plasma biomarkers for AD vs. HC in Cohort 1; (F) Second derivative spectra of MCI patients in Cohort 3 and AD patients/HCs in Cohort 1, spectral digital biomarkers for distinguishing MCI and HC and for distinguishing MCI and AD were marked on the second derivative spectra with different colors; (G) ROC curve of performance for distinguishing MCI from HC and AD participants in Cohort 1; (H) Relationship between spectra digital biomarkers for distinguishing MCI and MMSE scores in AD of Cohort 1 and Cohort 3. AD, Alzheimer’s disease; HC, healthy control; GFAP, glial fibrillary acidic protein; AUC, area under curve; MCI, mild cognitive impairment; MMSE, mini-mental state examination; ROC, receiver operating characteristic.

    Journal: eClinicalMedicine

    Article Title: Development and validation of machine learning models with blood-based digital biomarkers for Alzheimer’s disease diagnosis: a multicohort diagnostic study

    doi: 10.1016/j.eclinm.2025.103142

    Figure Lengend Snippet: ATR-FTIR spectra comparison and diagnostic performance between AD, MCI and HC participants. (A) ATR-FTIR average spectra of patients with AD and HCs in Cohort 1 and the ATR-FTIR spectra of purified GFAP, p-Tau, Aβ42; AD spectra digital biomarkers were marked on the spectra of corresponding AD indicator biomarkers; (B) Box diagram of the six AD spectra digital biomarkers with significantly different levels between AD and HC participants in Cohort 1 ( p < 0.05); (C) ROC curve of the discrimination power of each AD spectra digital biomarker and all six AD spectra digital biomarkers on the test set in Cohort 1; (D) ROC curve of diagnostic performance for AD vs. HC in Cohort 2; (E) ROC curve of the discrimination power of plasma biomarkers for AD vs. HC in Cohort 1; (F) Second derivative spectra of MCI patients in Cohort 3 and AD patients/HCs in Cohort 1, spectral digital biomarkers for distinguishing MCI and HC and for distinguishing MCI and AD were marked on the second derivative spectra with different colors; (G) ROC curve of performance for distinguishing MCI from HC and AD participants in Cohort 1; (H) Relationship between spectra digital biomarkers for distinguishing MCI and MMSE scores in AD of Cohort 1 and Cohort 3. AD, Alzheimer’s disease; HC, healthy control; GFAP, glial fibrillary acidic protein; AUC, area under curve; MCI, mild cognitive impairment; MMSE, mini-mental state examination; ROC, receiver operating characteristic.

    Article Snippet: Spectra of plasma samples were obtained using an Alpha FTIR spectrometer with attenuated total reflection (ATR) attachment (Bruker Optics Ltd.), operated with OPUS 5.5 software.

    Techniques: Comparison, Diagnostic Assay, Purification, Biomarker Discovery, Clinical Proteomics, Control