Catarina Caneira

PhD Researcher
i4HB Researcher

Catarina Caneira holds a PhD in Biomedical Engineering (IST-UL, 2023) on the topic of the development of a rapid in-field microfluidic-based system to detect antibiotic-resistant bacteria.

Her PhD work brought her multidisciplinary skills due to established national/international collaborations. She acquired competencies in microfluidics design and prototyping, cleanroom fabrication, molecular biology and microbiology, immunoassay, and protein biosensors. Her research work led her to bridge knowledge of electronics and data analysis as well, and her research work has resulted in 10+ peer-reviewed publications.

After her PhD, she worked as a Senior R&D engineer at biosurfit, a Portuguese company, with expertise in centrifugal microfluidics for IVDs. She co-led several innovative projects to develop point-of-care devices for the detection of tropical diseases, liver biomarkers, and biomarkers for cardiovascular diseases. During this time, she supervised 1 MSc student.

She is currently a PhD researcher at INESC MN, within the Laboratório Associado i4HB – Institute for Health and Bioeconomy. Her research interests are microfluidics, biosensors, lab-on-chip, organ-on-chip, and genomics.

Publications / Highlights

Regenerable bead-based microfluidic device with integrated thin-film photodiodes for real-time monitoring of DNA detection

Development of a rapid bead-based microfluidic platform for DNA hybridization using single- and multi-mode interactions for probe immobilization

Silica bead-based microfluidic device with integrated photodiodes for the rapid capture and detection of rolling circle amplification products in the femtomolar range

Monolithically integrated optical interference and absorption filters on thin film amorphous silicon photosensors for biological detection

A microfluidic platform combined with bacteriophage receptor binding proteins for multiplex detection of Escherichia coli and Pseudomonas aeruginosa in blood

Scientific Profiles

ORCID ID

CienciaID

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