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Critical Reviews™ in Biomedical Engineering
SJR: 0.26 SNIP: 0.375 CiteScore™: 1.4

ISSN Печать: 0278-940X
ISSN Онлайн: 1943-619X

Выпуски:
Том 48, 2020 Том 47, 2019 Том 46, 2018 Том 45, 2017 Том 44, 2016 Том 43, 2015 Том 42, 2014 Том 41, 2013 Том 40, 2012 Том 39, 2011 Том 38, 2010 Том 37, 2009 Том 36, 2008 Том 35, 2007 Том 34, 2006 Том 33, 2005 Том 32, 2004 Том 31, 2003 Том 30, 2002 Том 29, 2001 Том 28, 2000 Том 27, 1999 Том 26, 1998 Том 25, 1997 Том 24, 1996 Том 23, 1995

Critical Reviews™ in Biomedical Engineering

DOI: 10.1615/CritRevBiomedEng.2019026426
pages 217-234

An Experimental Platform for Characterizing Cancer Biomarkers with Capabilities in Noninvasive and Continuous Screening

Mackenzie M. Honikel
School of Biological and Health Systems Engineering, Arizona State University, Tempe, Arizona
Jeffrey T. La Belle
School of Biological and Health Systems Engineering, Arizona State University, Tempe, Arizona

Краткое описание

Early detection is crucial to the proper and effective treatment of two metastatic cancers, prostate cancer and small cell lung cancer. Currently, preventative screenings for these conditions are restricted to high-risk populations and extremely expensive. The discovery of clinically indicative biomarkers has been revolutionary in advancing screening and diagnostic capabilities. Prostate-specific antigen (PSA), an extracellular secreted protein of the prostate gland, and neuron-specific enolase (NSE), an enzyme of neuronal origin, have reported reputable specificity for prostate cancer and small cell lung cancer (SCLC). Current efforts are underway to develop a rapid, label-free means of measuring both PSA and NSE levels in a clinical environment for early screening applications of highly metastatic cancers. Electrochemical impedance spectroscopy (EIS) and impedance time (Z-t) are rapid, sensitive electrochemical techniques previously validated in the detection of several clinically relevant biomarkers, including cardiovascular disease and diabetes mellitus. Herein, we determine the optimal frequencies of PSA (81.38 Hz) and NSE (14.36 Hz) using EIS that are robust across analytical platforms and in the presence of potentially interfering species. The reported empirical evidence supports the prevalence of electrostatic interactions in electrochemical systems and provides alternative theoretical support of previous findings. Finally, Z-t was implemented for its utility in continuous monitoring applications and to lay the foundation for future improvements to continuous sensor platforms.


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