Evidence map›Paper›PMID 41723334›Full record

ArticleMikrochimica acta2026

Entropy-driven catalytic synergy of ultrathin PtRuFeCoRhW high-entropy alloy nanorods as highly active nanozyme for sensitively detecting 2-mercaptobenzothiazole in complex matrix.

Ling-Jie Ni, Jin-Yu Li, Li-Ping Mei, Jiu-Ju Feng, Liang Wu, Ai-Jun Wang

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Article in Mikrochimica acta, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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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

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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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

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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

6 authors.

Ling-Jie Ni *Key laboratory of the Ministry of Education for Advanced Catalysis Materials, College of Chemistry and Materials Science, College of Geography and Environmental Sciences, Zhejiang Normal University, Jinhua, 321004, China.
Jin-Yu Li *Key laboratory of the Ministry of Education for Advanced Catalysis Materials, College of Chemistry and Materials Science, College of Geography and Environmental Sciences, Zhejiang Normal University, Jinhua, 321004, China.
Li-Ping MeiKey laboratory of the Ministry of Education for Advanced Catalysis Materials, College of Chemistry and Materials Science, College of Geography and Environmental Sciences, Zhejiang Normal University, Jinhua, 321004, China.
Jiu-Ju FengKey laboratory of the Ministry of Education for Advanced Catalysis Materials, College of Chemistry and Materials Science, College of Geography and Environmental Sciences, Zhejiang Normal University, Jinhua, 321004, China.
Liang WuKey laboratory of the Ministry of Education for Advanced Catalysis Materials, College of Chemistry and Materials Science, College of Geography and Environmental Sciences, Zhejiang Normal University, Jinhua, 321004, China. krwl@zjnu.cn.
Ai-Jun WangKey laboratory of the Ministry of Education for Advanced Catalysis Materials, College of Chemistry and Materials Science, College of Geography and Environmental Sciences, Zhejiang Normal University, Jinhua, 321004, China. ajwang@zjnu.cn.

Funding

National Key Research and Development Program of China 2023YFF0611002
6 · The paper itself

Abstract

A novel 2-mercaptobenzothiazole (2-MBT) detection method is introduced based on ultrathin PtRuFeCoRhW high-entropy alloy nanorods (HEANRs) synthesized via a solvothermal-coreduction strategy. These HEANRs contained numerous defects and atomic steps, providing abundant active sites. It exhibited peroxidase (POD)-like activity for its entropy-driven catalytic synergy and modified electronic structure, which was utilized to construct a colorimetric sensing platform. The platform operates via competitive inhibition between 2-MBT and 3,3’,5,5’-tetramethylbenzidine (TMB) oxidation, enabling ultrasensitive 2-MBT detection with a linear range of 1–7 µM (R2 = 0.997) and a detection limit of 0.42 µM (S/N = 3). Notably, the sensor demonstrates reliable performances in practical analysis of rubber wastewater. This work provides an efficient method for detecting 2-MBT. It also demonstrates that entropy-driven structural engineering is a promising strategy for designing advanced high-entropy materials. This research advances high-entropy-initiated catalysis and offers a versatile platform for environmental remediation, addressing a broad range of analytical challenges.

Indexed as

2-MercaptobenzothiazoleColorimetric sensingCompetitive inhibitionHigh-entropy alloy nanorodsPeroxidase-like activity

Identifiers

PMID41723334

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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.