Label-free detection of cardiac troponin I and complex using surface plasmon resonance for assessing acute myocardial injuries

Abstract Accurate diagnosis of myocardial injury is crucial in clinical practice, as it enables prompt treatment, reduces the risk of complications, and improves patient outcomes. Examining cardiac troponin composition offers distinct advantages as it provides valuable insights that help differentiate between ischaemic and non-ischaemic causes of cardiac injury, thereby directly enhancing clinical assay specificity. Current high-sensitivity troponin assays target all circulating forms of either troponin I or T but are unable to distinguish individual forms or specific combinations. This is an issue as troponin is also elevated in non-cardiac conditions, and emerging evidence suggests that the ratio between troponin I and TIC complex isoforms may serve as an indicator for differentiating acute from chronic myocardial injury. Here, we introduce a methodology utilising a label-free Surface Plasmon Resonance biosensor to detect and differentiate between troponin I and complex isoforms. Unlike traditional immunoassay, which requires indirect labelling with secondary antibodies to detect these biomarkers, this method provides a real-time detection of these isoforms, as each antibody interaction with the specific analytes provides a quantitative reading. We demonstrated that this method can detect complexed and free troponin I in varying ratios. This method has the potential to be developed into point-of-care testing and opens avenues for isoform-specific prognostic assays.

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Publication Details

Journal
npj Biosensing
Published
2026-01-13
DOI
https://doi.org/10.1038/s44328-025-00068-5
Primary Topic
Acute Myocardial Infarction Research
Type
article
Field-Weighted Citation Impact
0.00

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article

Label-free detection of cardiac troponin I and complex using surface plasmon resonance for assessing acute myocardial injuries

César S. Huertas, Siew Joo Beh
npj Biosensing
Acute Myocardial Infarction Research
article

Label-free detection of cardiac troponin I and complex using surface plasmon resonance for assessing acute myocardial injuries

César S. Huertas, Siew Joo Beh
article en

Abstract

Abstract Accurate diagnosis of myocardial injury is crucial in clinical practice, as it enables prompt treatment, reduces the risk of complications, and improves patient outcomes. Examining cardiac troponin composition offers distinct advantages as it provides valuable insights that help differentiate between ischaemic and non-ischaemic causes of cardiac injury, thereby directly enhancing clinical assay specificity. Current high-sensitivity troponin assays target all circulating forms of either troponin I or T but are unable to distinguish individual forms or specific combinations. This is an issue as troponin is also elevated in non-cardiac conditions, and emerging evidence suggests that the ratio between troponin I and TIC complex isoforms may serve as an indicator for differentiating acute from chronic myocardial injury. Here, we introduce a methodology utilising a label-free Surface Plasmon Resonance biosensor to detect and differentiate between troponin I and complex isoforms. Unlike traditional immunoassay, which requires indirect labelling with secondary antibodies to detect these biomarkers, this method provides a real-time detection of these isoforms, as each antibody interaction with the specific analytes provides a quantitative reading. We demonstrated that this method can detect complexed and free troponin I in varying ratios. This method has the potential to be developed into point-of-care testing and opens avenues for isoform-specific prognostic assays.

npj BiosensingVol. 3(1)
RMIT University (AU)
Ontario Ministry of Natural Resources and Forestry, Australian Government, RMIT University
Quality Education
Openalex Percentile: Top 91%
Acute Myocardial Infarction Research
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Label-free detection of cardiac troponin I and complex using surface plasmon resonance for assessing acute myocardial injuries — César S. Huertas, Siew Joo Beh · npj Biosensing (2026) | TGRS Research Map | TGRS