Biomimetic Bacterial Framework‐Driven Point‐of‐Care Platform Enables Broad‐Spectrum Bacterial Sensing via PAMPs‐Triggered Competitive Recognition

Abstract Rapid and on‐site bacterial detection is essential for early intervention in public health and industrial production. Herein, inspired by the bacterial cell structure, a biomimetic bacterial framework (BBF) is developed and describes its potential for point‐of‐care (POC) and broad‐spectrum bacterial detection. The BBF not only simulates the synergistic catalytic signal amplification ability of the bacterial ectoenzymes and endoenzymes but also the biomimetic polysaccharide shells of n‐dodecyl β‐D‐maltoside, which resemble bacterial pathogen‐associated molecular patterns (PAMPs) can be rapidly recognized by the pattern recognition receptors (PRRs). Subsequently, a PAMPs‐triggered bionic competitive recognition strategy of “detecting bacteria by biomimetic bacteria” is proposed. Briefly, magnetic beads‐modified PRRs‐associated proteins offer the possibility of simultaneous recognition of bacteria and BBF. Captured bacteria prevent the BBF competition for binding, allowing visualization of catalytic signal changes. Furthermore, the POC platform integrated with a 3D‐printed portable device and smartphone with Tailor‐made applet APP, provides rapid, sensitive detection of Gram‐negative and Gram‐positive bacteria (10 2 and 10 3 CFU mL −1 ) in less than 40 min, with validated accuracy in body fluid and food samples. In summary, the proposed BBF‐driven POC platform shows great potential and broad applicability for bacterial infection and contamination applications.

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Publication Details

Journal
Advanced Functional Materials
Published
2025-06-18
DOI
https://doi.org/10.1002/adfm.202504522
Primary Topic
Biosensors and Analytical Detection
Type
article
Field-Weighted Citation Impact
0.00

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article

Biomimetic Bacterial Framework‐Driven Point‐of‐Care Platform Enables Broad‐Spectrum Bacterial Sensing via PAMPs‐Triggered Competitive Recognition

Jinhao Wang, Xiaoming Yin, Yuhan Yan, Kuiyu Wang et al.
Advanced Functional Materials
Biosensors and Analytical Detection
article

Biomimetic Bacterial Framework‐Driven Point‐of‐Care Platform Enables Broad‐Spectrum Bacterial Sensing via PAMPs‐Triggered Competitive Recognition

Jinhao Wang, Xiaoming Yin, Yuhan Yan, Kuiyu Wang, Mengyao Zhang, Chen Wang, Yu Zhang, Tao Yang, Jianwei Liang, Yu Wan
article en

Abstract

Abstract Rapid and on‐site bacterial detection is essential for early intervention in public health and industrial production. Herein, inspired by the bacterial cell structure, a biomimetic bacterial framework (BBF) is developed and describes its potential for point‐of‐care (POC) and broad‐spectrum bacterial detection. The BBF not only simulates the synergistic catalytic signal amplification ability of the bacterial ectoenzymes and endoenzymes but also the biomimetic polysaccharide shells of n‐dodecyl β‐D‐maltoside, which resemble bacterial pathogen‐associated molecular patterns (PAMPs) can be rapidly recognized by the pattern recognition receptors (PRRs). Subsequently, a PAMPs‐triggered bionic competitive recognition strategy of “detecting bacteria by biomimetic bacteria” is proposed. Briefly, magnetic beads‐modified PRRs‐associated proteins offer the possibility of simultaneous recognition of bacteria and BBF. Captured bacteria prevent the BBF competition for binding, allowing visualization of catalytic signal changes. Furthermore, the POC platform integrated with a 3D‐printed portable device and smartphone with Tailor‐made applet APP, provides rapid, sensitive detection of Gram‐negative and Gram‐positive bacteria (10 2 and 10 3 CFU mL −1 ) in less than 40 min, with validated accuracy in body fluid and food samples. In summary, the proposed BBF‐driven POC platform shows great potential and broad applicability for bacterial infection and contamination applications.

Advanced Functional MaterialsVol. 35(49)
Sun Yat-sen University (CN), University of Birmingham (GB)
National Natural Science Foundation of China, Special Fund Project for Science and Technology Innovation Strategy of Guangdong Province, Basic and Applied Basic Research Foundation of Guangdong Province
Openalex Percentile: Top 87%
Biosensors and Analytical Detection
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