Point-of-Care Biosensors for Healthcare Applications

Daurai, Bethuel; Gogoi, Manashjit

doi:10.1007/978-981-19-5141-1_1

Cited by 4 publications

(2 citation statements)

References 146 publications

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“…Moreover, there are some specific situations, like hospital emergency departments, extreme sport competitions, or military operative missions where is not possible to send collected urine to a laboratory for a standard analysis. There is a clear need and strong request for a fast screening of urine to support the decision of the medical doctor about the need of immediate medical onsite care [1]. When compared with a personalized baseline, variations of color and turbidity of urine can give information about the presence of pigments associated with myoglobin concentration [2], an indicator of a major physical stress that can be observed in athlete of military acting under extreme condition [3].…”

Section: Introductionmentioning

confidence: 99%

The LUMINA setup for a light-based urine monitoring and analysis

Fantoni,

Fernandes,

Fidalgo

et al. 2024

Biophotonics in Point-of-Care III

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Optoelectronic and spectral analysis of urine can be performed on site by low-cost portable technology, interfaced to signal processing and machine learning algorithm. These algorithms, trained on a set of previously known diagnostic outputs, can correlate the urine optoelectronic measured parameters with the person's health status. The proposed solution is the development of an optoelectronic setup, suitable to be embedded in a portable configuration, capable of performing on site and in a short amount of time a urine screening based on a set of techniques of increasing three levels of complexity. The proposed parameters to be measured are dominant color and turbidity (1st level), UV induced fluorescence (2nd level), Raman Spectroscopy (3rd level). The system can be used to perform a set of measurements on a set of urine samples of already known health condition to carry out the training of a machine learning algorithm for assessing the risk of developing Acute Kidney Injury. All the technical information is public open access, available at https://github.com/ISEL-DEETC/PhotoAKI/tree/main/LUMINA.

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Section: Introductionmentioning

confidence: 99%

The LUMINA setup for a light-based urine monitoring and analysis

Fantoni,

Fernandes,

Fidalgo

et al. 2024

Biophotonics in Point-of-Care III

View full text Add to dashboard Cite

show abstract

“…[36][37][38][39][40] Some devices use colourimetric, uorometric, liquid crystal, surface plasmon resonance, mechanic, and electrochemical probes. 37,[41][42][43] The main distinction lies in the fact that these earlier studies required a supporting electronic device, while the PCD we developed is standalone, and a-amylase estimation can be performed with naked-eye visualisation. This PCD device will not replace the existing methods of detection but will supplement them by aiding in ruling out pancreatitis in rural areas with community healthcare centres and can also aid in ruling out clinics and emergency medicine.…”

Section: Introductionmentioning

confidence: 99%