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Proceedings Paper

Enhancement of label-free biosensing of cardiac troponin I
Author(s): Chase Christenson; Kwaku Baryeh; Samad Ahadian; Rohollah Nasiri; Mehmet R. Dokmeci; Marcus Goudie; Ali Khademhosseini; Jing Yong Ye
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Paper Abstract

The detection of cardiac troponin I (cTnI) is clinically used to monitor myocardial infarctions (MI) and other heart diseases. The development of highly sensitive detection assays for cTnI is needed for the efficient diagnosis and monitoring of cTnI levels. Traditionally, enzyme-based immunoassays have been used for the detection of cTnI. However, the use of labelfree sensing techniques have the advantage of potentially higher speed and lower cost for the assays. We previously reported a Photonic Crystal-Total Internal Reflection (PC-TIR) biosensor for label-free quantification of cTnI. To further improve on this, we present a comparative study between an antibody based PC-TIR sensor that relies on recombinant protein G (RPG) for the proper orientation of anti-cTnI antibodies, and an aptamer-based PC-TIR sensor for improved sensitivity and performance. Both assays relied on the use of polyethylene glycol (PEG) linkers to facilitate the modification of the sensor surfaces with biorecognition elements and to provide fluidity of the sensing surface. The aptamer-based PC-TIR sensor was successfully able to detect 0.1 ng/mL of cTnI. For the antibody-based PC-TIR sensor, the combination of the fluidity of the PEG and the increased number of active antibodies allowed for an improvement in assay sensitivity with a low detection limit of 0.01 ng/mL. The developed assays showed good performance and potential to be applied for the detection of cTnI levels in clinical samples upon further development.

Paper Details

Date Published: 20 February 2020
PDF: 8 pages
Proc. SPIE 11251, Label-free Biomedical Imaging and Sensing (LBIS) 2020, 112512J (20 February 2020); doi: 10.1117/12.2546979
Show Author Affiliations
Chase Christenson, The Univ. of Texas at San Antonio (United States)
Kwaku Baryeh, The Univ. of Texas at San Antonio (United States)
Samad Ahadian, Univ. of California, Los Angeles (United States)
Rohollah Nasiri, Univ. of California, Los Angeles (United States)
Mehmet R. Dokmeci, Univ. of California, Los Angeles (United States)
Marcus Goudie, Univ. of California, Los Angeles (United States)
Ali Khademhosseini, Univ. of California, Los Angeles (United States)
Jing Yong Ye, The Univ. of Texas at San Antonio (United States)


Published in SPIE Proceedings Vol. 11251:
Label-free Biomedical Imaging and Sensing (LBIS) 2020
Natan T. Shaked; Oliver Hayden, Editor(s)

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