Coaggregation Strengthened Nanozymes for the Identification of Oral Cariogenic Bacteria

Dental caries, caused by oral cariogenic bacteria, underscore the critical importance of early diagnosis for effective prevention and treatment. The identification of oral cariogenic bacteria depends on the development of the recognition elements. In this work, coaggregation between bacteria has been subtly mined for exploration of the recognition elements, which has been further used to construct a colorimetric sensor array for the identification of nine oral cariogenic bacteria. Three fermentative bacteria (<i>Kocuria</i> sp. RXG-8, <i>Bacillus</i> sp. 7578-18, and <i>Bacillus</i> sp. LTZ-12) can coaggregate with the cariogenic bacteria to varying degrees, and they are covalently conjugated with single-atom nanozymes. Compared with free fermentative bacteria, nanozymes modified by fermentative bacteria show significantly enhanced coaggregation stability with cariogenic bacteria. Coaggregation recognition obviously adjusts the oxidase-like activities of nanozymes, which serves for the identification of cariogenic bacteria. Subsequently, fermentative bacterium-modified nanozymes have been further exploited to construct a colorimetric sensor array, and linear discriminant analysis is employed to create unique fingerprints for each cariogenic bacterium. The constructed colorimetric sensor array can be successfully applied not only for the identification of nine oral cariogenic bacteria but also for the discrimination of saliva samples from healthy and caries-affected children. This work offers an alternative strategy to develop recognition elements and a potential tool for the early diagnosis and prevention of dental caries.

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Publication Details

Journal
ACS Applied Materials & Interfaces
Published
2026-02-09
DOI
https://doi.org/10.1021/acsami.6c00693
Primary Topic
Advanced Nanomaterials in Catalysis
Type
article
Field-Weighted Citation Impact
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article

Coaggregation Strengthened Nanozymes for the Identification of Oral Cariogenic Bacteria

Heting Chen, Daixin Ye, Yuan Zhang, Zhangli Yu et al.
ACS Applied Materials & Interfaces
Advanced Nanomaterials in Catalysis
article

Coaggregation Strengthened Nanozymes for the Identification of Oral Cariogenic Bacteria

Heting Chen, Daixin Ye, Yuan Zhang, Zhangli Yu, Juan Zhang, Zhaoyan Wu, Lili Niu
article en

Abstract

Dental caries, caused by oral cariogenic bacteria, underscore the critical importance of early diagnosis for effective prevention and treatment. The identification of oral cariogenic bacteria depends on the development of the recognition elements. In this work, coaggregation between bacteria has been subtly mined for exploration of the recognition elements, which has been further used to construct a colorimetric sensor array for the identification of nine oral cariogenic bacteria. Three fermentative bacteria (<i>Kocuria</i> sp. RXG-8, <i>Bacillus</i> sp. 7578-18, and <i>Bacillus</i> sp. LTZ-12) can coaggregate with the cariogenic bacteria to varying degrees, and they are covalently conjugated with single-atom nanozymes. Compared with free fermentative bacteria, nanozymes modified by fermentative bacteria show significantly enhanced coaggregation stability with cariogenic bacteria. Coaggregation recognition obviously adjusts the oxidase-like activities of nanozymes, which serves for the identification of cariogenic bacteria. Subsequently, fermentative bacterium-modified nanozymes have been further exploited to construct a colorimetric sensor array, and linear discriminant analysis is employed to create unique fingerprints for each cariogenic bacterium. The constructed colorimetric sensor array can be successfully applied not only for the identification of nine oral cariogenic bacteria but also for the discrimination of saliva samples from healthy and caries-affected children. This work offers an alternative strategy to develop recognition elements and a potential tool for the early diagnosis and prevention of dental caries.

ACS Applied Materials & InterfacesVol. 18(6)
Shanghai University (CN), Ministry of Education (ME), Centre for Sustainable Energy (GB)
Reduced inequalities
Openalex Percentile: Top 64%
Advanced Nanomaterials in Catalysis
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