Evidence map›Paper›PMID 40719885›Full record

ArticleMikrochimica acta2025

Identification of cariogenic bacteria by click chemistry mediated polyethylene glycolized graphyne nanozymes.

Lelin Qian, Zhangli Yu, Yuan Zhang, Jingyi Huang, Daixin Ye, Lili Niu, Juan Zhang

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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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1 · What the graph read from it

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Lelin Qian *Center for Molecular Recognition and Biosensing, Joint International Research Laboratory of Biomaterials and Biotechnology in Organ Repair, Ministry of Education, Shanghai Engineering Research Center of Organ Repair, Shanghai Key Laboratory of Bioenergy Energy Crops, School of Life Sciences, Shanghai University, Shanghai, 200444, China.
Zhangli Yu *Center for Molecular Recognition and Biosensing, Joint International Research Laboratory of Biomaterials and Biotechnology in Organ Repair, Ministry of Education, Shanghai Engineering Research Center of Organ Repair, Shanghai Key Laboratory of Bioenergy Energy Crops, School of Life Sciences, Shanghai University, Shanghai, 200444, China.
Yuan ZhangCenter for Molecular Recognition and Biosensing, Joint International Research Laboratory of Biomaterials and Biotechnology in Organ Repair, Ministry of Education, Shanghai Engineering Research Center of Organ Repair, Shanghai Key Laboratory of Bioenergy Energy Crops, School of Life Sciences, Shanghai University, Shanghai, 200444, China.
Jingyi HuangCenter for Molecular Recognition and Biosensing, Joint International Research Laboratory of Biomaterials and Biotechnology in Organ Repair, Ministry of Education, Shanghai Engineering Research Center of Organ Repair, Shanghai Key Laboratory of Bioenergy Energy Crops, School of Life Sciences, Shanghai University, Shanghai, 200444, China.
Daixin YeCollege of Sciences & Institute for Sustainable Energy, Shanghai University, Shanghai, 200444, People's Republic of China. daixinye@shu.edu.cn.
Lili NiuCenter for Molecular Recognition and Biosensing, Joint International Research Laboratory of Biomaterials and Biotechnology in Organ Repair, Ministry of Education, Shanghai Engineering Research Center of Organ Repair, Shanghai Key Laboratory of Bioenergy Energy Crops, School of Life Sciences, Shanghai University, Shanghai, 200444, China. lilyniu@126.com.
Juan ZhangCenter for Molecular Recognition and Biosensing, Joint International Research Laboratory of Biomaterials and Biotechnology in Organ Repair, Ministry of Education, Shanghai Engineering Research Center of Organ Repair, Shanghai Key Laboratory of Bioenergy Energy Crops, School of Life Sciences, Shanghai University, Shanghai, 200444, China. juanzhang@shu.edu.cn.

Funding

National Natural Science Foundation of China 82372091 and 22204096
6 · The paper itself

Abstract

Dental caries, one of the most common oral diseases, is mainly induced by multiple cariogenic bacteria in the oral microenvironment, so it is important to construct a method that can identify oral multiply cariogenic bacteria. Herein, a machine learning assisted colorimetric sensing array has been constructed by using polyethylene glycolized graphyne nanozymes, which have been firstly prepared through click chemistry to enhance the peroxidase-like catalytic activity and stability. Taking advantage of different interactions between cariogenic bacteria and polyethylene glycolized graphyne nanozymes, the sensing array can well identify ten oral cariogenic bacteria and their binary and ternary complexes by linear discriminant analysis algorithm. In view of its high accuracy to analyze the spiked artificial saliva samples, the developed colorimetric sensing array owns a great potential for the diagnosis of dental caries.

Indexed as

Dental CariesGraphitePolyethylene GlycolsCatalysisClick ChemistryColorimetryHumansSalivaGraphitePolyethylene GlycolsCariogenic bacteriaDental cariesMachine learningPolyethylene glycolized graphyne nanozymesSensing arrays

Identifiers

PMID40719885

What OpenQuestion holds

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Registered trials

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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.