Recent developments in surface-enhanced Raman spectroscopy-based immuno (apta) assays for cardiac troponin detection: prospects for point-of-care applications.

Sreejith K P, Murukeshan Vadakke Matham, Santhosh Chidangil

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Review in Biophysical reviews, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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3 authors.

Sreejith K PCentre of Excellence for Biophotonics, Manipal Institute of Applied Physics, Manipal Academy of Higher Education, Manipal, Karnataka 576104 India.

Murukeshan Vadakke MathamCentre for Optical and Laser Engineering, School of Mechanical and Aerospace Engineering, Nanyang Technological University, 50 Nanyaang Avenue, Singapore, 639798 Singapore.

Santhosh ChidangilCentre of Excellence for Biophotonics, Manipal Institute of Applied Physics, Manipal Academy of Higher Education, Manipal, Karnataka 576104 India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cardiac troponin (cTn) is widely recognized as the gold standard for the diagnosis of acute myocardial infarction (AMI), a leading cause of mortality worldwide. Point-of-care testing (POCT) for cTn necessitates rapid turnaround, cost-effectiveness, user-friendly operation, and portability, along with the highest level of accuracy to support timely and effective clinical decision-making. Surface-enhanced Raman spectroscopy (SERS) based assays possess several features suitable for POCT, including the flexibility to integrate with innovative platforms such as microfluidic systems and paper-based devices. In this review, we discuss the recent developments in SERS-based immuno (apta) assays for cTn detection, with a focus on detection strategies, employed platforms, and their feasibility for POCT. This review also outlines the improvements required in existing assays to meet POCT requirements, aiding in the design of future diagnostic assays.

Indexed as

Cardiac troponinImmunoassayPoint-of-care testingSurface-enhanced Raman spectroscopy (SERS)

Identifiers

PMID42317537

DOI10.1007/s12551-025-01381-z

PMCPMC13272741

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