Back to Search Start Over

Design and fabrication of La-based perovskites incorporated with functionalized carbon nanofibers for the electrochemical detection of roxarsone in water and food samplesElectronic supplementary information (ESI) available. See DOI: https://doi.org/10.1039/d4ay00264d

Authors :
John Felix, Mariya Antony
Rex Shanlee, Santhiyagu Sahayaraj
Chen, Shen-Ming
Ruspika, Sundaresan
Balaji, Ramachandran
Chandrasekar, Narendhar
Doss, Periyanayagam Arockia
Source :
Analytical Methods; 2024, Vol. 16 Issue: 18 p2857-2868, 12p
Publication Year :
2024

Abstract

The pentavalent arsenic compound roxarsone (RSN) is used as a feed additive in poultry for rapid growth, eventually ending up in poultry litter. Poultry litter contains chicken manure, which plays a vital role as an affordable fertilizer by providing rich nutrients to agricultural land. Consequently, the extensive use of poultry droppings serves as a conduit for the spread of toxic forms of arsenic in the soil and surface water. RSN can be easily oxidized to release highly carcinogenic As(iii) and As(iv) species. Thus, investigations were conducted for the sensitive detection of RSN electrochemically by developing a sensor material based on lanthanum manganese oxide (LMO) and functionalized carbon nanofibers (f-CNFs). The successfully synthesised LMO/f-CNF composite was confirmed by chemical, compositional, and morphological studies. The electrochemical activity of the prepared composite material was examined using cyclic voltammetry (CV) and differential pulse voltammetry (DPV). The obtained results confirmed that LMO/f-CNF showed enhanced electrocatalytic activity and improved current response with a good linear range (0.01–0.78 μM and 2.08–497 μM, respectively), exhibiting a low limit of detection (LOD) of 0.004 μM with a high sensitivity of 13.24 μA μM−1cm−2towards the detection of RSN. The noteworthy features of LMO/f-CNF composite with its superior electrochemical performance enabled reliable reproducibility, exceptional stability and reliable practical application in the analysis of tap water and food sample, affording a recovery range of 86.1–98.87%.

Details

Language :
English
ISSN :
17599660 and 17599679
Volume :
16
Issue :
18
Database :
Supplemental Index
Journal :
Analytical Methods
Publication Type :
Periodical
Accession number :
ejs66293781
Full Text :
https://doi.org/10.1039/d4ay00264d