Recent Trends and Advances in Porous Metal-Organic Framework Nanostructures for the Electrochemical and Optical Sensing of Heavy Metals in Water.

Electrochemical MOF nanostructures heavy metals optical sensors

Journal

Critical reviews in analytical chemistry
ISSN: 1547-6510
Titre abrégé: Crit Rev Anal Chem
Pays: United States
ID NLM: 9004784

Informations de publication

Date de publication:
13 Aug 2022
Historique:
pubmed: 16 8 2022
medline: 16 8 2022
entrez: 15 8 2022
Statut: aheadofprint

Résumé

With the expansion and advancement in agricultural and chemical industries, various toxic heavy metals such as lead, cadmium, mercury, zinc, copper, arsenic etc. are continuously released into the environment. Intake of sources contaminated with such toxic metals leads to various health issues. Keeping the serious effects of these toxic metal ions in view, various organic-inorganic nanomaterials based sensors have been exploited for their detection via optical, electrochemical and colorimetric approaches. Since a chemical sensor works on the principle of interaction between the sensing layer and the analytes, a sensor material with large surface area is required to enable the largest possible interaction with the target molecules and hence the sensitivity of the chemical sensor. However, commonly employed materials such as metal oxides and conducting polymers tend to feature relatively low surface areas, and hence resulting in low sensitivity of the sensor. Metal-Organic Frameworks (MOFs) nanostructures are another category of organic-inorganic materials endowed with large surface area, ultra-high and tunable porosity, post-synthesis modification features, readily available active sites, catalytic activity, and chemical/thermal stability. These properties provide high sensitivity to the MOF based sensors due to the adsorption of large number of target analytes. The current review article focuses on MOFs based optical and electrochemical sensors for the detection of heavy metals.

Identifiants

pubmed: 35968634
doi: 10.1080/10408347.2022.2106543
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

1-25

Auteurs

Naini Garg (N)

CSIO Analytical Facility (CAF) Division, CSIR-Central Scientific Instruments Organisation, Chandigarh 160030, India.
Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, India.

Akash Deep (A)

Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, India.
Materials Science & Sensor Applications (MSSA) Division, CSIR-Central Scientific Instruments Organisation, Chandigarh 160030, India.

Amit L Sharma (AL)

CSIO Analytical Facility (CAF) Division, CSIR-Central Scientific Instruments Organisation, Chandigarh 160030, India.
Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, India.

Classifications MeSH