Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/58042

TitleDetection of BCG bacteria using a magnetoresistive biosensor: A step towards a fully electronic platform for tuberculosis point-of-care detection
Author(s)Barroso, Teresa Raquel Guerra
Martins, Rui C.
Fernandes, Elisabete
Cardoso, Susana
Rivas, José
Freitas, Paulo P.
KeywordsAnimals
Biosensing Techniques
Cattle
Equipment Design
Humans
Limit of Detection
Magnetic Fields
Magnetite Nanoparticles
Mycobacterium
Mycobacterium bovis
Mycobacterium tuberculosis
Point-of-Care Systems
Sputum
Tuberculosis
Tuberculosis, Bovine
Lab-On-A-Chip Devices
Nanotechnology
Magnetic nanoparticles
Magnetoresistive biosensor
Chemometrics
Issue date15-Feb-2018
PublisherElsevier
JournalBiosensors and Bioelectronics
CitationBarroso, T. G., Martins, R. C., Fernandes, E., Cardoso, S., Rivas, J., & Freitas, P. P. (2018). Detection of BCG bacteria using a magnetoresistive biosensor: a step towards a fully electronic platform for tuberculosis point-of-care detection. Biosensors and Bioelectronics, 100, 259-265
Abstract(s)Tuberculosis is one of the major public health concerns. This highly contagious disease affects more than 10.4 million people, being a leading cause of morbidity by infection. Tuberculosis is diagnosed at the point-of-care by the Ziehl-Neelsen sputum smear microscopy test. Ziehl-Neelsen is laborious, prone to human error and infection risk, with a limit of detection of 104 cells/mL. In resource-poor nations, a more practical test, with lower detection limit, is paramount. This work uses a magnetoresistive biosensor to detect BCG bacteria for tuberculosis diagnosis. Herein we report: i) nanoparticle assembly method and specificity for tuberculosis detection; ii) demonstration of proportionality between BCG cell concentration and magnetoresistive voltage signal; iii) application of multiplicative signal correction for systematic effects removal; iv) investigation of calibration effectiveness using chemometrics methods; and v) comparison with state-of-the-art point-of-care tuberculosis biosensors. Results present a clear correspondence between voltage signal and cell concentration. Multiplicative signal correction removes baseline shifts within and between biochip sensors, allowing accurate and precise voltage signal between different biochips. The corrected signal was used for multivariate regression models, which significantly decreased the calibration standard error from 0.50 to 0.03log10 (cells/mL). Results show that Ziehl-Neelsen detection limits and below are achievable with the magnetoresistive biochip, when pre-processing and chemometrics are used.
TypeArticle
URIhttp://hdl.handle.net/1822/58042
DOI10.1016/j.bios.2017.09.004
ISSN0956-5663
e-ISSN1873-4235
Publisher versionhttps://www.sciencedirect.com/science/article/pii/S0956566317306127
Peer-Reviewedyes
AccessEmbargoed access (2 Years)
Appears in Collections:ICVS - Artigos em Revistas Internacionais com Referee

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