Very Selective Detection of Low Physiopathological Glucose Levels by Spontaneous Raman Spectroscopy with Univariate Data Analysis
نویسندگان
چکیده
Abstract After decades of research on non-invasive glucose monitoring, invasive devices based finger blood sampling are still the predominant reference for diabetic patients accurately measuring levels. Meanwhile, continues improving point-of-care technology toward development painless and more accurate devices. Raman spectroscopy is well-known as a potentially valuable approach However, previous studies deal with concentrations that order magnitudes away respect to human tissues’ physiological concentrations, or they propose enhancement methodologies either much complex assure sufficient sensitivity in range. Instead, this study proposes an alternative non-enhanced sensitive from 1 5 mmol/l, which correspond lowest physiopathological level blood. Our findings suggest very selective detection other typical metabolites, usually interfering spectroscopy’s detection. We validate proposed univariate sensing methodology solutions mixed lactate urea, two most common molecules found serum similar features spectra. clearly illustrate reliable by feasible exploiting shifted peak at 1125 ± 10 cm –1 within ranges.
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ژورنال
عنوان ژورنال: BioNanoScience
سال: 2021
ISSN: ['2191-1649', '2191-1630']
DOI: https://doi.org/10.1007/s12668-021-00867-w