Abstract
Cardiac troponin I (cTnI) plays an important role in the assessment of various cardiac diseases. However, accurate detection of cTnI at the point-of-care (POC) remains unfeasible. In this study, we report the development of an electrochemical immunosensor designed for rapid and accurate cTnI detection in pre-hospital settings. Rapid cTnI analysis of whole blood samples was then performed. cTnI measurements were highly correlated with the results of the standard clinical laboratory method for cTnI detection. The results of this study suggest that the proposed POC immunosensor can deliver fast and accurate cTnI analysis in pre-hospital settings to achieve rapid diagnosis and guide patient management.
Highlights
Cardiac troponin I is a structural protein found in the contractile apparatus of myocardial cells [1]
Clinical guidelines require that patients with non-ST-segment elevation myocardial infarction (NSTEMI) must be diagnosed using plasma Cardiac troponin I (cTnI) level and treated within 24 h to reduce the risk of further cardiac necrosis and possibility of transitioning to ST-segment elevation myocardial infarction (STEMI) [6]
Quality control results indicate a coefficient of variation (CV) of 4.23% and 2.21% for anti-mouse cTnI (Figure 1B) and anti-human cTnI (Figure 1C) antibody-labeled chips, respectively
Summary
Cardiac troponin I (cTnI) is a structural protein found in the contractile apparatus of myocardial cells [1]. Devices designed for this purpose must be able to provide real-time detection to assist in instant diagnosis and allow for informed decision-making in a pre-hospital setting. In other words, such devices should possess various point-of-care (POC) qualities including speed, accuracy, portability, and ease-of-use. Implementation of such devices for pre-hospital cTnI analysis (i.e., in an ambulance) has been shown to significantly improve prediction of adverse heart events, especially MI [7,8], thereby reducing the time needed for patients to receive appropriate treatment [9] and improving prognosis.
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