Evidence Hub

State-of-the-art progress and prospect of metal-organic frameworks and composites for photoelectrochemical amino-drugs sensing

Sourav Bej, Eun-Bum Cho

Environmental Research, 2025

14 citations

Abstract

Unregulated discharge of antibiotics in waterbodies has posed significant threat to the aquatic flora and fauna in post-pandemic times. This alarming situation has ascertained the need for suitable sensors to detect persistent antibiotic residues. In this context, functional hybrid materials centralized on reticular metal-organic frameworks (MOFs)/composites have been a research hot spot for photoelectrochemical host-guest recognition events over the past two decades. The unique amalgamation of robust framework, ease of synthesis, and tunable photophysical properties complemented with in silico approaches renders these materials highly promising for recognition events over other contemporaries. The present review provides a critical analysis of the state-of-the-art advancement of MOFs along with their allied composites toward the detection of targeted amino-drug residues (nitrofurazone, norfloxacin, ciprofloxacin, tetracycline, acetaminophen) within the last quinquennial period (approximately 2019-2024). Detection of the targeted drug residues by electrochemical and fluorometric pathways and their host-guest mechanistic pathways have been precisely described. Additionally, different functionalization methods and luminescence strategies with their structural viewpoint have been concisely summarised. Moreover, we delve into the futuristic possibility of integrating artificial intelligence (AI) and machine learning (ML) for better quantification of antibiotics. Finally, the…

How strong is the evidence?

Evidence Hub reads this as a review, done in computer models (in silico), not in people. Its evidence level is 5 of 5 (Very low · case / narrative / animal / in vitro / in silico). Case reports, narrative reviews, and animal, cell or computer-model studies give the weakest evidence for human health.

How the five levels of evidence work. The level is assigned automatically from the abstract and can be wrong, so check the paper.

Read the paper

Related studies

Go deeper in Evidence Hub

Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.

Open this study Sign up free