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Detection and identification of amino acids and proteins using their intrinsic fluorescence in the visible light spectrum

journal contribution
posted on 2024-11-03, 11:05 authored by Rajni Verma, Suneela Pyreddy, Connagh Redmond, Farah Qazi, Asma Khalid, Neil O'Brien-Simpson, Ravi ShuklaRavi Shukla, Snjezana Tomljenovic-Hanic
The detection and identification of biomolecules are essential in the modern era of medical diagnostics. Several approaches have been established, but they have significant limitations such as laborious and time-consuming sample preparation, analysis, and the need to use external probes which provide adequate but not desired levels of accuracy and sensitivity. Herein, we have explored successfully a non-invasive technique to detect and identifybiomolecules such as amino acids and proteins by utilizing their intrinsic fluorescence. The developed confocal microscopy method revealed high and photostable emission counts of these biomolecules including amino acids (tryptophan, phenylalanine, tyrosine, proline, histidine, cysteine, aspartic acid, asparagine, isoleucine, lysine, glutamic acid, arginine) and proteins (HSA, BSA) when they are excited with a green laser. The fluorescence lifetime of the samples enabled the identification and distinction of known and blind samples of biomolecules from each other. The developed optical technique is straightforward, non-destructive and does not require laborious labeling to identify specific proteins, and may serve as the basis for the development of a device that would quickly and accurately identify proteins at an amino acid level. Therefore, this approach would open an avenue for precise detection in imaging and at the same time increases our understanding of chemical dynamics at the molecular level.

History

Journal

Analytica Chimica Acta

Volume

1282

Number

341925

Start page

1

End page

11

Total pages

11

Publisher

Elsevier BV

Place published

Netherlands

Language

English

Copyright

© 2023 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

Former Identifier

2006126628

Esploro creation date

2023-11-25

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