Evidence map›Paper›PMID 41228762›Full record

ReviewSensors (Basel, Switzerland)2025

Advanced Metal-Organic Framework-Based Sensor Systems for Gas and Environmental Monitoring: From Material Design to Embedded Applications.

Alemayehu Kidanemariam, Sungbo Cho

Abstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Flatland Metasurfaces for Optical Gas Sensing.Sensors (Basel, Switzerland) · 2026
    Review
  5. Zirconium-based metal-organic frameworks for pathogen detection.Analytical sciences : the international journal of the Japan Society for Analytical Chemistry · 2026
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Alemayehu KidanemariamDepartment of Electronic Engineering, Gachon University, Seongnam-si 13120, Gyeonggi-do, Republic of Korea.ORCID 0000-0003-2945-2062
Sungbo ChoDepartment of Electronic Engineering, Gachon University, Seongnam-si 13120, Gyeonggi-do, Republic of Korea.ORCID 0000-0003-3839-6410

Funding

National Research Foundation of Korea NRF-2023R1A2C1003669
6 · The paper itself

Abstract

Environmental pollution is a global issue presenting risks to ecosystems and human health through release of toxic gases, existence of volatile organic compounds (VOCs) in the environment, and heavy metal contamination of waters and soils. To effectively address this issue, reliable and real-time monitoring technology is imperative. Metal-organic frameworks (MOFs) are a disruptive set of materials with high surface area, tunable porosity, and abundant chemistry to design extremely sensitive and selective pollutant detection. This review article gives an account of recent advances towards sensor technology for MOFs with application specificity towards gas and environment monitoring. We critically examine optical, electrochemical, and resistive platforms and their interfacing with embedded electronics and edge artificial intelligence (edge-AI) to realize smart, compact, and energy-efficient monitoring tools. We also detail critical challenges such as scalability, reproducibility, long-term stability, and secure data management and underscore transforming MOF-based sensors from lab prototype to functional instruments to ensure safe coverage of human health and to bring about sustainable environmental management.

Indexed as

air and water quality monitoringedge computingembedded systemsenvironmental sensorsgreenhouse gasesmaterial designmetal–organic frameworks (MOFs)sensor integrationsensor stabilitysensor systemssignal processing

Identifiers

PMID41228762
PMCPMC12608299

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.