Version 1
: Received: 9 October 2024 / Approved: 10 October 2024 / Online: 10 October 2024 (06:24:03 CEST)
How to cite:
Bernardo, A. L.; Parra, A.; Cebrián, V.; Ahumada, Ó.; Oddi, S.; Dainese, E. Innovative Peptide-Based Plasmonic Optical Biosensor for the Determination of Cholesterol. Preprints2024, 2024100767. https://doi.org/10.20944/preprints202410.0767.v1
Bernardo, A. L.; Parra, A.; Cebrián, V.; Ahumada, Ó.; Oddi, S.; Dainese, E. Innovative Peptide-Based Plasmonic Optical Biosensor for the Determination of Cholesterol. Preprints 2024, 2024100767. https://doi.org/10.20944/preprints202410.0767.v1
Bernardo, A. L.; Parra, A.; Cebrián, V.; Ahumada, Ó.; Oddi, S.; Dainese, E. Innovative Peptide-Based Plasmonic Optical Biosensor for the Determination of Cholesterol. Preprints2024, 2024100767. https://doi.org/10.20944/preprints202410.0767.v1
APA Style
Bernardo, A. L., Parra, A., Cebrián, V., Ahumada, Ó., Oddi, S., & Dainese, E. (2024). Innovative Peptide-Based Plasmonic Optical Biosensor for the Determination of Cholesterol. Preprints. https://doi.org/10.20944/preprints202410.0767.v1
Chicago/Turabian Style
Bernardo, A. L., Sergio Oddi and Enrico Dainese. 2024 "Innovative Peptide-Based Plasmonic Optical Biosensor for the Determination of Cholesterol" Preprints. https://doi.org/10.20944/preprints202410.0767.v1
Abstract
Plasmonic-based biosensors have gained prominence as potent optical biosensing platforms in both scientific and medical research, attributable to their enhanced sensitivity and precision in detecting biomolecular and chemical interactions. However, the detection of low molecular weight analytes with high sensitivity and specificity remains a complex and unresolved issue, posing significant limitations for the advancement of clinical diagnostic tools and medical device technologies. Notably, abnormal cholesterol levels are a well-established indicator of various pathological conditions; yet, the quantitative detection of its free form is complicated by its small molecular size, pronounced hydrophobicity, and the necessity for mediator molecules to achieve efficient sensing. In the present study, a novel strategy for cholesterol quantification was developed, leveraging a plasmonic optical readout in conjunction with a highly specific cholesterol-binding peptide (C-pept) as a biorecognition element, anchored on a functionalized silica substrate. The resulting biosensor exhibited an exceptionally low detection limit of 21.95 µM and demonstrated a linear response in the 10-200 µM range. This peptide-integrated plasmonic sensor introduces a novel one-step competitive method for cholesterol quantification, positioning itself as a highly sensitive biosensing modality for implementation within the AVAC platform, which operates using reflective dark-field microscopy.
Biology and Life Sciences, Biology and Biotechnology
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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