Evidence map›Paper›PMID 42439059›Full record

ArticleSmall (Weinheim an der Bergstrasse, Germany)2026

Coordination-Driven Metal-Phenolic Network Complexes for Programmable Colorimetric Signal Transduction and Defined Nano-Bio Interfaces.

Zexiang Wang, Xiaoxue Zhu, Ruijie Fu, Hong Hu, Lele Ma, Yidan Wang, Anlai Zou, Yunlei Xianyu, Yirong Guo

Abstract read
In one paragraph

Article in Small (Weinheim an der Bergstrasse, Germany), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

9 authors.

Zexiang WangInstitute of Pesticide and Environmental Toxicology, Zhejiang Key Laboratory of Biology and Ecological Regulation of Crop Pathogens and Insects, Ministry of Agriculture and Rural Affairs Key Laboratory of Molecular Biology of Crop Pathogens and Insect Pests, Zhejiang University, Hangzhou, China.
Xiaoxue ZhuCollege of Biosystems Engineering and Food Science, Zhejiang Key Laboratory of Agro-food Resources and High-value Utilization, Zhejiang University, Hangzhou, China.
Ruijie FuCollege of Biosystems Engineering and Food Science, Zhejiang Key Laboratory of Agro-food Resources and High-value Utilization, Zhejiang University, Hangzhou, China.
Hong HuCollege of Biosystems Engineering and Food Science, Zhejiang Key Laboratory of Agro-food Resources and High-value Utilization, Zhejiang University, Hangzhou, China.
Lele MaInstitute of Pesticide and Environmental Toxicology, Zhejiang Key Laboratory of Biology and Ecological Regulation of Crop Pathogens and Insects, Ministry of Agriculture and Rural Affairs Key Laboratory of Molecular Biology of Crop Pathogens and Insect Pests, Zhejiang University, Hangzhou, China.
Yidan WangCollege of Biosystems Engineering and Food Science, Zhejiang Key Laboratory of Agro-food Resources and High-value Utilization, Zhejiang University, Hangzhou, China.
Anlai ZouDepartment of Clinical Laboratory, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Yunlei XianyuCollege of Biosystems Engineering and Food Science, Zhejiang Key Laboratory of Agro-food Resources and High-value Utilization, Zhejiang University, Hangzhou, China.ORCID 0000-0003-1299-3460
Yirong GuoInstitute of Pesticide and Environmental Toxicology, Zhejiang Key Laboratory of Biology and Ecological Regulation of Crop Pathogens and Insects, Ministry of Agriculture and Rural Affairs Key Laboratory of Molecular Biology of Crop Pathogens and Insect Pests, Zhejiang University, Hangzhou, China.

Funding

National Key Research and Development Program of China 2022YFC2603800National Key Research and Development Program of China 2024YFF1105703National Natural Science Foundation of China 32272574"Pioneer" and "Leading Goose" R&D Program of Zhejiang 2025C02124
6 · The paper itself

Abstract

Self-assembled coordination networks provide opportunities to engineer functional nanostructures with programmable physicochemical properties, yet their optical responses and nano-bio interfacial interactions remain poorly understood. Herein, we employ a coordination-driven self-assembly approach to construct metal-phenolic network complexes (MPNCs) with tunable optical properties and defined antibody-binding interfaces. The coordination between metal ions and polyphenol ligands enables programmable electronic structures, allowing systematic regulation of colorimetric responses through metal selection. A library of MPNCs built from representative metal ions and polyphenol ligands reveals structure-property relationships governing optical behavior and color generation across diverse metal-ligand combinations. Molecular dynamics simulations uncover strong single-atom binding and adaptive nano-bio interfaces, rationalizing efficient antibody conjugation and functional adaptability of MPNCs. As a proof of concept, the tunable optical properties of MPNCs enable multiplex signal transduction in lateral flow immunoassays (LFIA) for qualitative and quantitative detection of representative neonicotinoid pesticides, acetamiprid and thiamethoxam. The resulting multiplex LFIA demonstrates distinct multicolor outputs, reliable analytical performance, and applicability in complex food samples, highlighting its potential for robust point-of-care testing. This work provides fundamental insights into coordination-regulated optical responses and nano-bio interactions, establishing MPNCs as a versatile platform for programmable signal transduction and advanced bioanalytical applications.

Indexed as

ColorimetryCoordination ComplexesMetalsNanostructuresPhenolsSignal TransductionImmunoassayMolecular Dynamics SimulationCoordination ComplexesMetalsPhenolscoordination‐driven self‐assemblylateral flow immunoassaysmetal‐phenolic network complexesnano‐bio interfacesprogrammable colorimetric signal transduction

Identifiers

PMID42439059
PMCPMC13548889

What Socratic holds

Textmetadata
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.