Smartphone-based Fluorescence System for Protein Aggregates Detection

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abstract

Detecting and monitoring protein aggregates is important to evaluate disease progression, particularly in neurodegenerative disorders such as Parkinson's and Alzheimer's. Apart from the evaluation of disease progression, the detection of protein aggregates is used during the manufacturing process of some pharmaceutical formulations because it is extremely important to monitor the levels of protein aggregates given the potential immunogenic responses they can induce in the human body. The systems yet developed to detect these biological entities are often complex, expensive, and, in some cases, require specialized personnel to handle them. Thus, the application of such devices becomes difficult in resourcelimited settings. Here we propose a simpler low-cost alternative - a smartphone-based fluorescence detection device - for the detection of protein aggregates. The results obtained with the developed system were consistent with measurements made with a commercial spectrometer, therefore proving the suitability of the proposed device for this application.

keywords

PRION

subject category

Engineering; Materials Science

authors

Sousa, C; Direito, I; Guieu, S; André, P; Helguero, L; Domingues, MF; Alberto, N

our authors

foto Samuel Jacques André Guieu

Samuel Jacques André Guieu

Junior Researcher

Groups

G1 - Porous Materials and Nanosystems

Projects

CICECO - Aveiro Institute of Materials (UIDB/50011/2020)

CICECO - Aveiro Institute of Materials (UIDP/50011/2020)

Associated Laboratory CICECO-Aveiro Institute of Materials (LA/P/0006/2020)

Collaboratory for Emerging Technologies, CoLab (EMERGING TECHNOLOGIES)

acknowledgements

This work was developed within the scope of the projects CICECO-Aveiro Institute of Materials (UIDB/50011/2020, UIDP/50011/2020 & LA/P/0006/2020) and LAQV-REQUIMTE (UIDB/50006/2020), financed by national funds through the FCT/MCTES (PIDDAC). I. Direito thanks FCT for her PhD fellowship SFRH/BD/117818/2016 and COVID/BD/151716/2021. L. Helguero thanks UIDB/04501/2020 and UIDP/04501/2020, MEDISIS (CENTRO-01-0246-FEDER-000018) supported by Comissao de Coordenacao e Desenvolvimento Regional do Centro. M. F. Domingues acknowledges the scientific action REACT, funded by FCT/MEC through national funds and when applicable co-funded by FEDER - PT2020 partnership agreement under the project UID/EEA/50008/2019. N. Alberto acknowledges to the Scientific Employment Stimulus (2022.00250.CEECIND/CP1716/CT0002).

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Publication Details

type
Journal Article
year
2023
journal
2023 IEEE 7TH PORTUGUESE MEETING ON BIOENGINEERING, ENBENG
publisher
IEEE
issn
2377-8563
isbn
979-8-3503-2257-6
digital object identifier
10.1109/enbeng58165.2023.10175370
web of science article identifier
WOS:001032626300028

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