Evidence map›Paper›PMID 40921903›Full record

ArticleMikrochimica acta2025

A highly active self-assembled nanozyme based on cascade system for dual-mode detection of sarcosine.

Yanke Zhai, Dan Wang, Qianqing Lin, Ruixin Yang, Guo Chen, Xiaotong Li, Haonan Jin, Hualu Zhang, Yibing Ji, Ruijun Li

Abstract read
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In one paragraph

Article in Mikrochimica acta, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

10 authors.

Yanke ZhaiDepartment of Analytical Chemistry, China Pharmaceutical University, 24 TongJiaXiang, Nanjing, 210009, Jiangsu, China.
Dan WangDepartment of Analytical Chemistry, China Pharmaceutical University, 24 TongJiaXiang, Nanjing, 210009, Jiangsu, China.
Qianqing LinDepartment of Analytical Chemistry, China Pharmaceutical University, 24 TongJiaXiang, Nanjing, 210009, Jiangsu, China.
Ruixin YangDepartment of Analytical Chemistry, China Pharmaceutical University, 24 TongJiaXiang, Nanjing, 210009, Jiangsu, China.
Guo ChenDepartment of Analytical Chemistry, China Pharmaceutical University, 24 TongJiaXiang, Nanjing, 210009, Jiangsu, China.
Xiaotong LiDepartment of Analytical Chemistry, China Pharmaceutical University, 24 TongJiaXiang, Nanjing, 210009, Jiangsu, China.
Haonan JinDepartment of Analytical Chemistry, China Pharmaceutical University, 24 TongJiaXiang, Nanjing, 210009, Jiangsu, China.
Hualu ZhangDepartment of Analytical Chemistry, China Pharmaceutical University, 24 TongJiaXiang, Nanjing, 210009, Jiangsu, China.
Yibing JiDepartment of Analytical Chemistry, China Pharmaceutical University, 24 TongJiaXiang, Nanjing, 210009, Jiangsu, China. jiyibing@msn.com.
Ruijun LiDepartment of Analytical Chemistry, China Pharmaceutical University, 24 TongJiaXiang, Nanjing, 210009, Jiangsu, China. ccjlrj@cpu.edu.cn.

Funding

the National Natural Science Foundation No. 21804141
6 · The paper itself

Abstract

A nanozyme-mediated cascade reaction system for fluorometric and colorimetric dual-mode detection of sarcosine (SA) was developed. The nanozymes (Zn-Glu@Hemin) were synthesized via a rapid self-assembly within 10 min at room temperature. Importantly, the Zn-Glu@Hemin exhibited strong peroxidase (POD)-mimicking activity, catalyzing the generation of hydroxyl radical (·OH) and superoxide anion (O

Indexed as

Biosensing TechniquesSarcosineBenzidinesColorimetryHumansHydrogen PeroxideLimit of DetectionPeroxidaseSarcosine OxidaseSmartphone3,3',5,5'-tetramethylbenzidineBenzidinesHydrogen PeroxidePeroxidaseSarcosineSarcosine OxidaseCascade systemColorimetryFluorescencePeroxidase mimicSarcosine

Identifiers

PMID40921903

What OpenQuestion holds

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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 OpenQuestion graph.