Abstract:
A type of cancer known as hepatocellular carcinoma (HCC) is most frequently found in people
with cirrhosis brought on by alcohol use, chronic hepatitis B or C virus infections, or nonalcoholic
steatohepatitis (NASH). The early and noninvasive diagnosis of liver disease, i.e., hepatocellular
carcinoma (HCC) and cirrhosis, are crucial for shortening the mortality rate. Current techniques
and biomarkers for HCC, such as Ultrasound scan (USS), MRI, CT scans, and alpha-fetoprotein
(AFP), generate excessive false negatives, necessitating the development of noninvasive methods
with high sensitivity. To detect potential targets for the early diagnosis of liver diseases, volatile
organic compounds (VOCs), a significant component of human breath, are being studied.
Metabolically produced VOCs in breath samples were identified through the Gas chromatography
and mass spectrometry approach. The significance of detected VOCs was then analyzed by
utilizing an in-house R software-based diverse array of machine learning (ML) models. The
exhaled breath samples at a ratio of 35:35:30 was collected from HCC, cirrhotic patients, and
healthy individuals. The average age of all participants was 57.2±10.2 years. Based on the above
results of GCMS, ML models and statistical analysis, electrochemical sensor will be designed for
specific detection of HCC and cirrhosis. Utilizing monolayer thiolate gold nanoparticles such as
hexanethiol, dodecane thiol and decanethiol capped AuNPs, the electrochemical detection of
VOCs was carried out. Hexane thiol AuNPs were chosen as a sensor for studying the
electrochemical detection of VOCs as analytes based on the best electrochemical results that could
be demonstrated. The differential pulse voltammetry (DPV) biosensing platform based on hexane
thiol capped AuNPs demonstrated high sensitivity with a LOD of 0.2 mmol L-1
and 0.0005 mol L 1 for cirrhotic and HCC, respectively. The amounts of limonene and phenol 2,2 methylene, bis
[6,1,1-D] measured by GC-MS were 800ppm (cirrhotic) and 2100ppm (HCC), respectively. Electrochemical sensor measurements of VOCs concentrations were nearly identical, providing
confidence for the quantitative detection by using synthesized hexane thiol capped AuNPs
biosensing platform. For the biosensing application, analog device AD5940 and impedance
analyzer were used to monitor the impedance (Z) and resistance (R) of a chemiresistive sensor
response to VOCs. The results showed that Z increased with the increase of the D-limonene,
whereas in the case of phenol 2,2 methylene bis 6 [1,1-D] first increased than decreased with the
increase of concentration.