A point-of-care device for fully automated, fast and sensitive protein quantification via qPCR

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Cavallo, Francesca Romana, Mirza, Khalid Baig, de Mateo, Sara, Miglietta, Luca, Rodriguez-Manzano, Jesus, Nikolic, Konstantin ORCID: https://orcid.org/0000-0002-6551-2977 and Toumazou, Christofer (2022) A point-of-care device for fully automated, fast and sensitive protein quantification via qPCR. Biosensors, 12 (7). p. 537.

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Official URL: https://doi.org/10.3390/bios12070537

Abstract

This paper presents a fully automated point-of-care device for protein quantification using short-DNA aptamers, where no manual sample preparation is needed. The device is based on our novel aptamer-based methodology combined with real-time polymerase chain reaction (qPCR), which we employ for very sensitive protein quantification. DNA amplification through qPCR, sensing and real-time data processing are seamlessly integrated into a point-of-care device equipped with a disposable cartridge for automated sample preparation. The system’s modular nature allows for easy assembly, adjustment and expansion towards a variety of biomarkers for applications in disease diagnostics and personalised medicine. Alongside the device description, we also present a new algorithm, which we named PeakFluo, to perform automated and real-time quantification of proteins. PeakFluo achieves better linearity than proprietary software from a commercially available qPCR machine, and it allows for early detection of the amplification signal. Additionally, we propose an alternative way to use the proposed device beyond the quantitative reading, which can provide clinically relevant advice. We demonstrate how a convolutional neural network algorithm trained on qPCR images can classify samples into high/low concentration classes. This method can help classify obese patients from their leptin values to optimise weight loss therapies in clinical settings.

Item Type:	Article
Identifier:	10.3390/bios12070537
Additional Information:	Citation: Cavallo, F.R.; Mirza, K.B.; de Mateo, S.; Miglietta, L.; Rodriguez-Manzano, J.; Nikolic, K.; Toumazou, C. A Point-of-Care Device for Fully Automated, Fast and Sensitive Protein Quantification via qPCR. Biosensors 2022, 12, 537. https://doi.org/10.3390/ bios12070537
Keywords:	point-of-care; noise minimisation; qPCR; algorithm; diagnostics; protein quantification; DNA aptamers
Subjects:	Computing Medicine and health
Related URLs:	Publisher
Depositing User:	Konstantin Nikolic
Date Deposited:	08 Aug 2022 08:31
Last Modified:	06 Feb 2024 16:11
URI:	https://repository.uwl.ac.uk/id/eprint/9297