| Literature DB >> 28285048 |
Subbiramaniyan Kubendhiran1, Subramanian Sakthinathan1, Shen-Ming Chen2, P Tamizhdurai3, K Shanthi4, Chelladurai Karuppiah5.
Abstract
Nitrobenzene (NB) is widely used in the manufacturing of different types of products and other aromatic chemicals. Moreover, it is highly toxic and environmental pollutant compound. Therefore, the detection of nitro aromatic compounds (NACs) has gained more attention in the field of sensor. This article describes the green reduction utilized to preparation of green reduced graphene oxide/nickel tetraphenyl porphyrin (GRGO/Ni-TPP) nanocomposite modified electrode for the determination of nitrobenzene (NB). The GRGO was prepared by environmentally friendly method and using caffeic acid (CA) as a reducing agent. Moreover, the GRGO/Ni-TPP nanocomposite was prepared via the π-π stacking interaction between the RGO and Ni-TPP. In addition, the prepared material was confirmed by the UV-Visible spectroscopy (UV), nuclear magnetic resonance spectroscopy (NMR) and Fourier transform infrared spectroscopy (FTIR). The structural morphology and elemental composition of the prepared nanocomposite was confirmed by the scanning electron microscope (SEM) and energy dispersive X-ray spectroscopy (EDX). Besides, the electrochemical studies of the prepared nanocomposite was characterized by the CV and DPV technique. The DPV studies displayed the linearity response of the proposed sensor about 0.5-878µM with the sensitivity of 1.277µAµM-1cm-2 and the limit of detection (LOD) is 0.14µM. Furthermore, the GRGO/Ni-TPP nanocomposite modified electrode shows good selectivity towards the detection of NB. In addition, the real sample analysis exhibited appreciable recovery towards the determination of NB using various types of water samples.Entities:
Keywords: Caffeic acid; Green preparation; Nickel tetra phenyl porphyrin; Nitrobenzene; Real sample analysis; Reduced graphene oxide
Year: 2017 PMID: 28285048 DOI: 10.1016/j.jcis.2017.03.003
Source DB: PubMed Journal: J Colloid Interface Sci ISSN: 0021-9797 Impact factor: 8.128