Elsa Materon

Dr. Elsa Materon

orcid

Research Focus & Metrics

Academic Career Length

19Years (2008-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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31 March 2020 in Sensors
Verified
Journal Article
Open access
PDF file
Jorge Ricardo Mejía SalazarJorge Ricardo Mejía Salazar
Jorge Ricardo Mejía Salazar
KCKamilla Rodrigues Cruz
Kamilla Rodrigues Cruz
EMElsa Materon
Elsa Materon
OOOsvaldo Oliveira
Osvaldo Oliveira
Point-of-care (PoC) diagnostics is promising for early detection of a number of diseases, including cancer, diabetes, and cardiovascular diseases, in addition to serving for monitoring health conditions. To be efficient and cost-effective, portable PoC devices are made with microfluidic technologies, with which laboratory analysis can be made with small-volume samples. Recent years have witnessed considerable progress in this area with “epidermal electronics”, including miniaturized wearable diagnosis devices. These wearable devices allow for continuous real-time transmission of biological data to the Internet for further processing and transformation into clinical knowledge. Other approaches include bluetooth and WiFi technology for data transmission from portable (non-wearable) diagnosis devices to cellphones or computers, and then to the Internet for communication with centralized healthcare structures. There are, however, considerable challenges to be faced before PoC devices become routine in the clinical practice. For instance, the implementation of this technology requires integration of detection components with other fluid regulatory elements at the microscale, where fluid-flow properties become increasingly controlled by viscous forces rather than inertial forces. Another challenge is to develop new materials for environmentally friendly, cheap, and portable microfluidic devices. In this review paper, we first revisit the progress made in the last few years and discuss trends and strategies for the fabrication of microfluidic devices. Then, we discuss the challenges in lab-on-a-chip biosensing devices, including colorimetric sensors coupled to smartphones, plasmonic sensors, and electronic tongues. The latter ones use statistical and big data analysis for proper classification. The increasing use of big data and artificial intelligence methods is then commented upon in the context of wearable and handled biosensing platforms for the Internet of things and futuristic healthcare systems.

1 November 2015 in Journal of Electroanalytical Chemistry
Verified
Journal Article
Closed access
AWAdemar Wong
Ademar Wong
MSMateus Scontri
Mateus Scontri
EMElsa Materon
Elsa Materon
MLMarcos R.V. Lanza
Marcos R.V. Lanza
María del Pilar T. SotomayorMaría del Pilar T. Sotomayor
María del Pilar T. Sotomayor


1 June 2019 in Materials Science and Engineering: C
Verified
Journal Article
Closed access
GIGisela Ibáñez-Redín
Gisela Ibáñez-Redín
RFRoberto H.M. Furuta
Roberto H.M. Furuta
DWDeivy Wilson
Deivy Wilson
FSFlavio Shimizu
Flavio Shimizu
EMElsa Materon
Elsa Materon
OOOsvaldo Oliveira
Osvaldo Oliveira

1 October 2018 in Journal of Electroanalytical Chemistry
Verified
Journal Article
Closed access
EMElsa Materon
Elsa Materon
AWAdemar Wong
Ademar Wong
OFOrlando Fatibello-Filho
Orlando Fatibello-Filho
RFRonaldo Censi Faria
Ronaldo Censi Faria

8 August 2017 in ACS Applied Materials & Interfaces
Verified
Journal Article
Closed access
RORicardo A. G. de Oliveira
Ricardo A. G. de Oliveira
EMElsa Materon
Elsa Materon
MMMatias Eliseo Melendez
Matias Eliseo Melendez
ACAndré L. Carvalho
André L. Carvalho
RFRonaldo Censi Faria
Ronaldo Censi Faria