Evidence map›Paper›PMID 39755687›Full record

ArticleNature communications2025

Colorimetric identification of colorless acid vapors using a metal-organic framework-based sensor.

Wonhyeong Jang, Hyejin Yoo, Dongjun Shin, Seokjin Noh, Jin Yeong Kim

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Pore-Engineered Luminescent MOF Sensors for PFAS Recognition in Water.Journal of the American Chemical Society · 2026
    Article
  8. Article
  9. 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

5 authors.

Wonhyeong Jang *Department of Chemistry Education, Seoul National University, Seoul, Republic of Korea.ORCID http://orcid.org/0000-0002-6641-5044
Hyejin Yoo *Department of Chemistry Education, Seoul National University, Seoul, Republic of Korea.ORCID http://orcid.org/0009-0007-3097-9175
Dongjun ShinDepartment of Chemistry Education, Seoul National University, Seoul, Republic of Korea.
Seokjin NohDepartment of Chemistry Education, Seoul National University, Seoul, Republic of Korea.
Jin Yeong KimDepartment of Chemistry Education, Seoul National University, Seoul, Republic of Korea. jykim@snu.ac.kr.ORCID http://orcid.org/0000-0003-2250-8780

Funding

National Research Foundation of Korea (NRF) NRF-2022R1C1C101022013
6 · The paper itself

Abstract

In terms of safety and emergency response, identifying hazardous gaseous acid chemicals is crucial for ensuring effective evacuation and administering proper first aid. However, current studies struggle to distinguish between different acid vapors and remain in the early stages of development. In this study, we propose an on-site monitorable acid vapor decoder, MOF-808-EDTA-Cu, integrating the robust MOF-808 with Cu-EDTA, functioning as a proton-triggered colorimetric decoder that translates the anionic components of corrosive acids into visible colors. The sensor exhibits a cyan-to-yellow shift when exposed to HCl vapor and can visually differentiate various acidic vapors (HF, HBr, and HI) through unique color changes. Furthermore, the compatibility of the MOF-based sensor with multiple metal ions having atomic-level dispersion broadens its discrimination range, enabling the identification of six different colorless acid vapors within a single sensor domain. Additionally, by incorporating a flexible polymer, the MOF-808-EDTA-Cu has been successfully processed into a portable miniaturized acid sensor, exhibiting distinct color changes that can be easily monitored by the naked eye and camera sensors. This provides experimental validation as a practical sensor capable of on-site 24-hour monitoring in the real world.

Identifiers

PMID39755687
PMCPMC11700211

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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 OpenQuestion graph.