PPY-fMWCNT Nanocomposite-Based Chemicapacitive Biosensor for Ultrasensitive Detection of TBI-Specific GFAP Biomarker in Human Plasma

Traumatic brain injury (TBI) is physical damage to the brain and a significant cause of mortality and morbidity affecting all ages worldwide, remaining as a diagnostic and therapeutic challenge to date. The design and development of rapid, low cost, highly accurate, and long-term stable point-of-care TBI diagnostic test kits is an unmet clinical need. In light of this, here we report a novel multianalyte chemicapacitive immunosensing platform that can detect FDA-approved Glial Fibrillary Acidic Protein (GFAP) biomarkers in real-time human plasma samples using carboxylic functionalized MWCNTs (fMWCNTs) embedded Polypyrrole (PPY) as a bioelectrical transducer. Herein, the low-cost GFAP bioelectrodes were prepared through covalent immobilization of anti-GFAP-antibodies on PPY-fMWCNTs modified array of interdigitated microelectrodes (IDµEs, fabricated on low-cost single-side copper clad PCB substrates). The binding event of GFAP peptides with anti-GFAP-antibodies in real-time human plasma samples was captured in terms of ac capacitance measured through C-F analysis (using an Agilent B1500A parametric analyzer) and quantified in terms of normalized change in capacitance of GFAP bioelectrodes with and without exposure of target GFAP peptides spiked in real-time human plasma samples (10 fg/mL – 1 µg/mL). The proposed PPY-fMWCNTs nanocomposite-based chemicapacitive immunosensing platform effectively detected GFAP target analytes in linear detection range 10 fg/mL – 10 ng/mL with a sensitivity and LoD of 3.9743 ((ΔC/C<sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">0</sub>)/ng·mL<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">−1</sup>)/cm<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> and 0.3854 fg/mL, respectively. Further, it also showed superior performance in terms of selectivity, reproducibility, long-term stability (30 weeks) and interference resistance. The proposed ac-capacitive approach is facile, label-free and can be combined with dc-resistive measurements to improve the diversity of decision-making parameters that inherently aid in improving the diagnostic accuracy of TBI test kit.

Authors

Institutions

Publication Details

Journal
IEEE Sensors Letters
Published
2024-11-15
DOI
https://doi.org/10.1109/lsens.2024.3497003
Citations
2
Primary Topic
Electrochemical sensors and biosensors
Type
article
Field-Weighted Citation Impact
0.42
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

PPY-fMWCNT Nanocomposite-Based Chemicapacitive Biosensor for Ultrasensitive Detection of TBI-Specific GFAP Biomarker in Human Plasma

Shiv Govind Singh, Rahul Gangwar, Suryasnata Tripathy, Siva Rama Krishna Vanjari et al.
2 citations
IEEE Sensors Letters
Electrochemical sensors and biosensors
0.42
article

PPY-fMWCNT Nanocomposite-Based Chemicapacitive Biosensor for Ultrasensitive Detection of TBI-Specific GFAP Biomarker in Human Plasma

Shiv Govind Singh, Rahul Gangwar, Suryasnata Tripathy, Siva Rama Krishna Vanjari, Patta Supraja
article en
2 citations

Abstract

Traumatic brain injury (TBI) is physical damage to the brain and a significant cause of mortality and morbidity affecting all ages worldwide, remaining as a diagnostic and therapeutic challenge to date. The design and development of rapid, low cost, highly accurate, and long-term stable point-of-care TBI diagnostic test kits is an unmet clinical need. In light of this, here we report a novel multianalyte chemicapacitive immunosensing platform that can detect FDA-approved Glial Fibrillary Acidic Protein (GFAP) biomarkers in real-time human plasma samples using carboxylic functionalized MWCNTs (fMWCNTs) embedded Polypyrrole (PPY) as a bioelectrical transducer. Herein, the low-cost GFAP bioelectrodes were prepared through covalent immobilization of anti-GFAP-antibodies on PPY-fMWCNTs modified array of interdigitated microelectrodes (IDµEs, fabricated on low-cost single-side copper clad PCB substrates). The binding event of GFAP peptides with anti-GFAP-antibodies in real-time human plasma samples was captured in terms of ac capacitance measured through C-F analysis (using an Agilent B1500A parametric analyzer) and quantified in terms of normalized change in capacitance of GFAP bioelectrodes with and without exposure of target GFAP peptides spiked in real-time human plasma samples (10 fg/mL – 1 µg/mL). The proposed PPY-fMWCNTs nanocomposite-based chemicapacitive immunosensing platform effectively detected GFAP target analytes in linear detection range 10 fg/mL – 10 ng/mL with a sensitivity and LoD of 3.9743 ((ΔC/C<sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">0</sub>)/ng·mL<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">−1</sup>)/cm<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> and 0.3854 fg/mL, respectively. Further, it also showed superior performance in terms of selectivity, reproducibility, long-term stability (30 weeks) and interference resistance. The proposed ac-capacitive approach is facile, label-free and can be combined with dc-resistive measurements to improve the diversity of decision-making parameters that inherently aid in improving the diagnostic accuracy of TBI test kit.

IEEE Sensors LettersVol. 8(12)
SRM University, Andhra Pradesh (IN), Indian Institute of Technology Hyderabad (IN)
Openalex Percentile: Top 37%
Electrochemical sensors and biosensors
0.42
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.