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• W3157366554 endingPage "7225" @default.
• W3157366554 startingPage "7220" @default.
• W3157366554 abstract "Glucose is a significant analyte both in biology and biomedical science, it is of great importance to selectively detect glucose both in body fluids and complex mixture. In this study, a simple 19F NMR based sensor was synthesized easily, which exhibited a high selectivity and robust anti-interference ability toward glucose detection both in a mixture containing up to 10 saccharides and human urine samples without any pretreatment. Combined with this sensor system, glucose could be well detected in human urine samples and the limit of detection was 0.41 mM by using a 400 MHz NMR spectrometer with 128 scans (ca. 4 min). This method had a potential for specific detection of glucose in complex mixture and diagnosis of diabetes mellitus related diseases in body fluid." @default.
• W3157366554 created "2021-05-10" @default.
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• W3157366554 date "2021-05-03" @default.
• W3157366554 modified "2023-10-12" @default.
• W3157366554 title "A Bisboronic Acid Sensor for Ultra-High Selective Glucose Assay by ¹⁹F NMR Spectroscopy" @default.
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• W3157366554 doi "https://doi.org/10.1021/acs.analchem.1c00262" @default.
• W3157366554 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/33939406" @default.
• W3157366554 hasPublicationYear "2021" @default.
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