Journal ArticleDOI
Fourier-transform-infrared-spectroscopy based metabolomic spectral biomarker selection towards optimal diagnostic differentiation of diabetes with and without retinopathy
Arpan Guha Mazumder,Arpan Guha Mazumder,Satarupa Banerjee,F. Zevictovich,Sambuddha Ghosh,Anirban Mukherjee,Jyotirmoy Chatterjee +6 more
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TLDR
This FTIR spectroscopy method has the capability of diagnostic cost minimization for detection of diabetic retinopathy by label-free spectral biomarker identification and was validated through spectral biomarkers selection by the DBMS technique.Abstract:
The purpose of this study is to identify Fourier transform infrared (FTIR) spectroscopy-based serum metabolomic spectral biomarkers using chemometrics for the diagnosis of Diabetic Retinopathy. FTI...read more
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Influence of Roasting Condition on Flavor Profile of Sunflower Seeds: A flavoromics approach
TL;DR: Roasting at 125 °C for 45 min was found to be the better condition for roasted sunflower seeds, which gave the lowest off-flavor and burnt tastes.
Journal ArticleDOI
Metabolomics: A Scoping Review of Its Role as a Tool for Disease Biomarker Discovery in Selected Non-Communicable Diseases.
TL;DR: A review of the applicability of metabolomics in medicine vis-a-vis its role in biomarker discovery for disease diagnosis and management is presented in this article, where important biomarkers with proven diagnostic and therapeutic relevance in the management of disease conditions, such as Alzheimer disease, dementia, Parkinson's disease, inborn errors of metabolism (IEM), diabetic retinopathy, and cardiovascular disease, are noted.
Journal ArticleDOI
Vibrational Spectroscopy for Detection of Diabetes: A Review
TL;DR: In this paper, a review summarizes recent research, since 2015, which has used infrared or Raman spectroscopy for the purpose of developing a fast and accurate method for diagnosing diabetes.
Journal ArticleDOI
Type 2 diabetes diagnosis assisted by machine learning techniques through the analysis of FTIR spectra of saliva
Miguel Sanchez-Brito,Francisco J. Luna-Rosas,Ricardo Mendoza-González,Gustavo Jesus Vazquez-Zapien,Julio César Martínez-Romo,Monica Maribel Mata-Miranda +5 more
TL;DR: A novel technique based on the FTIR spectra of saliva samples to diagnose diabetes and it is found that it is possible to identify patients with this pathology through artificial neural networks and SVMr reliably.
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Raman spectral probe and unique fractal signatures for human serum with diabetes and early stage diabetic retinopathy
Anang Kumar Singh,Arpan Guha Mazumder,Payel Halder,Sambuddha Ghosh,Jyotirmoy Chatterjee,Anushree Roy +5 more
TL;DR: This work proposes two experimental methodologies to discern the difference between blood serum from healthy subjects and that of diabetes/early stage diabetes retinopathy patients, and proposes a novel technique, in which the geometry of the fractal patterns formed by gold nanoparticles, in the presence of serum samples, is used in finding unique diagnostic signatures.
References
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Metabolomics: beyond biomarkers and towards mechanisms
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Using Fourier transform IR spectroscopy to analyze biological materials
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