Bi-functional renewable biopolymer wrapped CNFs/Ag doped spinel cobalt oxide as a sensitive platform for highly toxic nitroaromatic compound detection and degradation
Language English Country Great Britain, England Media print-electronic
Document type Journal Article
PubMed
34813850
DOI
10.1016/j.chemosphere.2021.132998
PII: S0045-6535(21)03470-6
Knihovny.cz E-resources
- Keywords
- 4-Nitrophenol, Carbon nanofibers, Chitosan, Silver, Ternary nanocomposite, Toxic pollutant,
- MeSH
- Biopolymers MeSH
- Electrochemical Techniques * MeSH
- Electrodes MeSH
- Cobalt MeSH
- Aluminum Oxide MeSH
- Magnesium Oxide MeSH
- Oxides MeSH
- Reproducibility of Results MeSH
- Publication type
- Journal Article MeSH
- Names of Substances
- Biopolymers MeSH
- cobalt oxide MeSH Browser
- cobalt tetraoxide MeSH Browser
- Cobalt MeSH
- Aluminum Oxide MeSH
- Magnesium Oxide MeSH
- Oxides MeSH
- spinell MeSH Browser
Nanomolar-level detection of priority toxic pollutant 4-nitrophenol (4-NP) in environment using a novel ternary nanocomposite based electrochemical sensor and its photocatalytic degradation is reported in this paper. A non-toxic and renewable natural biopolymer, chitosan wrapped carbon nanofibers was embedded with Ag doped spinel Co3O4 to prepare the bi-functional ternary nanocomposite. Economical and ecofriendly sonochemical method was employed in preparation of this porous nanocomposite. We used one-pot aqueous solution approach to synthesize Ag-Co3O4 nanoflowers and ultrasound-assisted method was utilized to prepare CS-CNFs. Morphological and structural properties of synthesized materials were analyzed using different characterization techniques. Electrochemical investigations using cyclic voltammetry and differential pulse voltammetry carried out with prepared ternary nanocomposite modified carbon electrode revealed its outstanding electrocatalytic activity in 4-NP quantification. The developed 4-NP sensor showcased excellent sensitivity of 55.98 μAμM-1cm-2 and nanomolar detection limit of 0.4 nM. Moreover, reproducibility, repeatability, stability, and selectivity were evaluated to confirm reliability of developed sensor. Further, real sample analyses were conducted using domestic sewage, underground water, and tomato to affirm the practical feasibility of 4-NP detection using the proposed sensor.
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