Evidence map›Paper›PMID 42454704›Full record

ArticleAngewandte Chemie (International ed. in English)2026

A Programmable Luminescent Sensing Platform via Site-Selective Modular Installation in Metal-Organic Frameworks.

Zongsu Han, Kun-Yu Wang, Zhaoyi Liu, Jiatong Huo, Joshua Rushlow, Yihao Yang, Rong-Ran Liang, Hong-Cai Zhou

Abstract read
In one paragraph

Article in Angewandte Chemie (International ed. in English), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Zongsu HanDepartment of Chemistry, Texas A&M University, College Station, Texas, USA.
Kun-Yu WangDepartment of Chemistry, Texas A&M University, College Station, Texas, USA.
Zhaoyi LiuDepartment of Chemistry, Texas A&M University, College Station, Texas, USA.
Jiatong HuoDepartment of Chemistry, Texas A&M University, College Station, Texas, USA.
Joshua RushlowDepartment of Chemistry, Texas A&M University, College Station, Texas, USA.
Yihao YangDepartment of Chemistry, Texas A&M University, College Station, Texas, USA.
Rong-Ran LiangDepartment of Chemistry, Texas A&M University, College Station, Texas, USA.
Hong-Cai ZhouDepartment of Chemistry, Texas A&M University, College Station, Texas, USA.ORCID https://orcid.org/0000-0002-9029-3788

Funding

National Science Foundation 2330245Robert A. Welch Foundation A-0030
6 · The paper itself

Abstract

Metal-organic frameworks (MOFs) have emerged as versatile platforms for structural design and engineering for targeting applications, particularly in luminescent sensing. MOF-based sensing materials are recognized for their rapid responses and well-defined structures that facilitate mechanistic insight. However, practical deployment remains limited by the synthetic cost associated with customizing individual MOFs with response to specific analytes. Here, we present a synthetic methodology to construct a programmable luminescent sensing platform derived from a readily modifiable Zr-MOF PCN-700, in which 20 pre-designed modules with various functions are incorporated through a modular linker installation strategy, possessing variable molecular lengths, configurations, and binding linkages. These modules endow the framework with customizable recognition capabilities toward a wide scope of chemical species as well as physical stimuli. This work demonstrates a generalizable and scalable modular installation approach that enables construction of multifunctional MOF-based sensing materials with customizable performance to meet evolving demands in practical detections.

Indexed as

linker installationluminescent sensing platformmetal–organic frameworkmodular strategy

Identifiers

PMID42454704
PMCPMC13528574

What Socratic holds

Textmetadata
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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.