Fabrication of multiwalled carbon nanotube–polyaniline/platinum nanocomposite films toward improved performance for a cholesterol amperometric biosensor

Abstract

A simple and high sensitive cholesterol amperometric biosensor, which is based on in situ electropolymerization of multi-walled carbon nanotube-polyaniline (MWCNT-PANI) nanocomposite and electrodeposition of platinum nanoparticle (nano-Pt) films onto the glassy carbon electrode surface for cholesterol oxidase immobilization, was constructed in this study. The preparation process of the modified electrode was characterized by cyclic voltammetry, electrochemical impedance spectroscopy, scanning electron microscopy, and chronoamperometry. Because of the synergistic electrocatalytic activity between MWCNT-PANI nanocomposites and nano-Pt, the cholesterol biosensor exhibited an excellent performance with a linear range of 2.0-510.0 µM, a detection limit of 0.8 µM (signal-to-noise ratio = 3), a high sensitivity of 109.9 µA mM , and a short response time within 5 Sec. Moreover, the reproducibility, stability, and selectivity of the biosensor were also investigated.

Progress in Conductive Polyaniline-Based Nanocomposites for Biomedical Applications: A Review

“…The detection of the free cholesterol is based on an oxidation reaction catalyzed by the cholesterol oxidase, a water-soluble enzyme. 172 Highly sensitive biosensors based on PANI, such as carbon nanotubes/ PANI and PANI fibers, have been utilized for the detection of cholesterol. 173,174 Other biomolecules, such as triglyceride, have also been detected by using PANI-based biosensors.…”

“…The development of lipids determinations, such as cholesterol biosensors, is clinically important because of hypertension, arteriosclerosis, and cardiovascular diseases. The detection of the free cholesterol is based on an oxidation reaction catalyzed by the cholesterol oxidase, a water-soluble enzyme . Highly sensitive biosensors based on PANI, such as carbon nanotubes/PANI and PANI fibers, have been utilized for the detection of cholesterol. , Other biomolecules, such as triglyceride, have also been detected by using PANI-based biosensors …”

<p>A highly sensitive biosensor based on Au NPs/rGO-PAMAM-Fc nanomaterials for detection of cholesterol</p>

“…Cholesterol is oxidized to cholest-4-en-3-one by the flavin cofactor. The reduced cofactor is recycled by oxygen to produce H 2 O 2 , 36 and then the Ag ions in glycine solution are reduced into metallic Ag. Detection of the enzymatically deposited Ag is achieved by anodic stripping voltammetry.…”

Progress in Carbon Nanotube-Based Electrochemical Biosensors – A Review

“…They showed high sensitivity of 336.6 μA cm −2 mM −1 and low detection limit of 7.4 µm towards cholesterol detection at working potential of −0.4 V due to synergistic effect of nonstoich iometric CeO2 and CNT, and they also demonstrated excellent selectivity towards interferents co-existing with cholesterol in blood serum. Xu et al (2016) constructed a simple and high sensitive cholesterol amperometric biosensor, which is based on in situ electropolymerisation of multi-walled carbon nanotube-polyaniline (MWCNT-PANI) nanocomposite and electrodeposition of platinum nanoparticle (nano-Pt) films onto the glassy carbon electrode surface for cholesterol oxidase immobilisation. The preparation process of the modified electrode was characterised by CV, EIS, SEM, and chronoamperometry.…”

“…Among the various nanomaterials that have been synthesised and used to date, carbon-based nanomaterials such as CNTs (Lawal, 2016;Wahab et al 2016;Dervisevic et al, 2017;Yang & Shimizu 2017;Dervisevic et al, 2018), graphene (Cui et al, 2017;Terse-Thakoor et al, 2017;Yardım et al, 2017;Zhu et al, 2017;Lawal 2018), buckypaper (Papa et al, 2014, Chatterjee et al, 2015 and nanohybrids (Gu et al, 2016, Ko et al, 2017Shuai et al, 2017 have attracted enormous attention due to their widely recognised application to chemical and biochemical sensors which have led to the increasing use for the electrochemical sensing of various compounds (Bai et al, 2016;Hamidi & Haghighi, 2016;Pandey et al, 2016;Saxena & Das 2016;Xu et al, 2016;Zhou et al, 2017).…”