MOFs in healthcare diagnostics: shaping the future of biomedical test strips

MOFs enhance biomedical test strips with high sensitivity, selectivity, and eco-friendliness via porous, tunable structures. Their luminescent and catalytic properties enable precise biomarker detection, advancing rapid and reliable point-of-care diagnostics.

Authors

Kafeel Ahmad Siddiqui (ORCID: https://orcid.org/0000-0002-3292-3948)
Vibhav Shukla

Institutions

National Institute of Technology Raipur (IN)

Publication Details

Journal: CrystEngComm
Published: 2025-01-01
DOI: https://doi.org/10.1039/d5ce00469a
Citations: 7
Primary Topic: Machine Learning and ELM
Type: article
Field-Weighted Citation Impact: 17.37

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article

MOFs in healthcare diagnostics: shaping the future of biomedical test strips

Kafeel Ahmad Siddiqui, Vibhav Shukla

Jan 1, 2025

7 citations

CrystEngComm

Machine Learning and ELM

17.37

article

MOFs in healthcare diagnostics: shaping the future of biomedical test strips

Kafeel Ahmad Siddiqui, Vibhav Shukla

January 1, 2025article en

7 citations

Abstract

CrystEngCommVol. 27(26)

National Institute of Technology Raipur (IN)

Openalex Percentile: Top 1%

Machine Learning and ELM

17.37

DOI Source OpenAlex

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MOFs in healthcare diagnostics: shaping the future of biomedical test strips — Kafeel Ahmad Siddiqui, Vibhav Shukla · CrystEngComm (2025) | TGRS Research Map | TGRS