Copper Nanoparticle-Dispersed Laser-Induced Graphene Film-Based Electrochemical Sensor for Thrombin in Biomimic Samples of Hemophilia
Source abstract
Abstract
Bleeding disorders account for a significant health burden in the global population. An early and accurate detection of related biomarkers can surely help in its reduction. However, diagnostic platforms generally lack the ability to detect relatively lower levels of biomarkers with high accuracy in complex biofluids, such as blood serum. Therefore, there is an urgent requirement of cost-effective platforms like electrochemical biosensors for the detection of biomarkers such as thrombin, which is present at low levels (0.01–0.5 U/mL) in the serum of hemophilic patients. In this study, a Cu nanoparticles (NPs)-dispersed laser-induced graphene (Cu-LIG)-based electrochemical biosensor is fabricated for the measurement of thrombin in biomimetic samples of hemophilia. The sensing surface is created via the suspension polymerization of phenol and formaldehyde with the in situ impregnation of Cu salt in the reaction mixture. Laser ablation is used to convert the polymeric content to the electrically conductive sp 2 hybridized graphitic carbon and the Cu salt to Cu NPs. Thrombin detection is achieved by depositing ferrocene-modified fibrinogen on the sensor, which acts as the substrate for thrombin. The quantification is based on the enzymatic activity of thrombin. The sensor shows a linear response over 0.01–25 U/mL concentration range covering the low concentration levels found in serum of hemophilic patients. The response is unaffected by common interfering biomolecules present in the blood. The accuracy of the sensor is verified using serum samples spiked with thrombin enzyme. Furthermore, the performance of the sensor remains unaltered over a storage of 30 days. Thus, the developed Cu-LIG based electrochemical biosensor shows the ability of detecting low levels of thrombin, generally expected in serum samples of hemophilic patients, which can help in designing effective treatment regimens and follow-ups by the clinicians.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Advanced biosensing and bioanalysis techniques · Extracellular vesicles in disease
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Biological Sciences & Bioengineering
Indian Institute of Technology Kanpur
The Mehta Family Centre for Engineering in Medicine
Department of Chemical Engineering
Center of Excellence in Point-of-care Diagnosis
Gangwal School of Medical Sciences and Technology
Center for Environmental Science and Engineering
Funding
Indian Institute of Technology Kanpur
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