Investigator

Manuel Aleixandre

Researcher · Tokyo institute of technology, Laboratory for Future Interdisciplinary Research of Science and Technology

About

MAManuel Aleixandre
Papers(1)
Recent Advances in SA…
Collaborators(1)
Mari Carmen Horrillo
Institutions(2)
Institute Of Science …Consejo Superior de I…

Papers

Recent Advances in SAW Sensors for Detection of Cancer Biomarkers

Surface acoustic wave (SAW) sensor technology is a promising approach to diagnosing cancer through the detection of cancer biomarkers due to its high sensitivity, potential label-free operation, and fast response times, and, fundamentally, because it is a non-invasive technique in comparison with the current traditional diagnostic techniques for cancer. This review focuses on this application, and for this purpose, the recent literature on cancer biomarkers detected by this advanced technology has been compiled, including that on volatile organic compounds (VOCs) from exhaled breath and larger biomolecules such as proteins, DNA, and microRNAs in body fluids, which demonstrates its great versatility. The conventional techniques for cancer biomarker detection in biofluids, such as ELISA, PCR, SPR, and UV absorbance, exhibit limitations including high costs, slow response times, a reduced sensitivity, the need for specialized instrumentation, and the requirement for highly trained personnel. Different SAW sensor configurations are discussed with attention paid to their specific properties, wave propagation modes, and suitability for different environments. Detailed studies are reviewed, highlighting biomarkers for lung, colorectal, prostate, breast, and ovarian cancer diagnostics, as well as the detection of circulating tumor cells and cancerous cell growth. This review identifies current challenges, including optimizing sensitivity, addressing environmental interferences, and the need for clinical validation. Finally, future research directions are proposed, emphasizing the use of VOC biomarkers and the integration of SAW technology into hybrid systems and microfluidic platforms to enable the creation of scalable, non-invasive diagnostic tools for the detection of cancer in early stages, and, in this way, to minimize the morbidity and mortality associated with this disease.

90Works
1Papers
1Collaborators
Biomarkers, TumorNeoplasms

Positions

2018–

Researcher

Tokyo institute of technology · Laboratory for Future Interdisciplinary Research of Science and Technology

2016–

Researcher

Consejo Superior de Investigaciones Científicas · Sensores y Sistemas Ultrasónicos

2014–

Researcher

Consejo Superior de Investigaciones Científicas · Power ultrasound systems

2014–

Engineer

Sgenia · Zenon

2011–

Researcher Excellence Grant

Consejo Superior de Investigaciones Científicas · Sensors laboratory

2010–

Researcher

Consejo Superior de Investigaciones Científicas · Neurorehabilitation group

2007–

Postdoc researcher

Consejo Superior de Investigaciones Científicas · Sensors laboratory

2002–

PhD Student

Consejo Superior de Investigaciones Científicas · Sensors laboratory

2000–

Graduate researcher

Universidad de Extremadura · Informatic departement

Education

2007

PhD

Universidad Nacional de Educacion a Distancia Facultad de Ciencias · Industrial Informatics and Automatics

2000

Bachelor

Universidad Autonoma de Madrid Facultad de Ciencias · Physical Science

Country

JP

Keywords
Gas sensorsMachine learningNanotechnologyArtificial olfactionElectronic nosesPolution measuringAerosolsOlfaction digitalization