Simultaneous Chemical Mapping of Live Biofilm Microenvironmental pH and Hydrogen Peroxide in Real Time with a Triple Scanning Electrochemical Microscopy Tip

利用三重扫描电化学显微镜探针实时同步绘制活体生物膜微环境pH值和过氧化氢的化学图谱

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Abstract

Dental plaque biofilm is a complex ecosystem. The distribution of microbial species in the biofilm is heavily influenced by local chemical interactions that result from diverse metabolic activities and the nature of the released molecules. As a relevant example, H(2)O(2)-producing bacteria can antagonize disease-associated bacteria, leading to the maintenance of a healthy oral microbiome. Herein, we report the development of a triple-sensor (redox, pH, and H(2)O(2)) scanning electrochemical microscopy (SECM) tip capable of simultaneously mapping the pH and H(2)O(2) concentration produced by a dental plaque-derived multispecies biofilm grown on hydroxyapatite. The pH sensor of the triple SECM tip showed a near Nernstian slope of -71.1 ± 2 mV/pH (N = 3), whereas the H(2)O(2) sensor showed a slope of -0.052 ± 0.002 nA/μM H(2)O(2) at pH 7.2 and a detection limit of 1.0 ± 0.2 μM (N = 7). There is no significant difference in the sensitivities of H(2)O(2) sensors at pH 6.2, 7.2, and 8.2 at 95% CI (N = 7). The pH and H(2)O(2) sensors demonstrated excellent reversibility with response times of 3 and 5 s, respectively, along with reliable stability over 4 h at 37 °C. The sensors did not show any cross talk between pH and H(2)O(2) concentration ([H(2)O(2)]) measurements, highlighting the accuracy and versatility of the SECM tip. Simultaneous chemical imaging of pH and [H(2)O(2)] across the biofilm revealed a clustered distribution of local H(2)O(2) concentrations, ranging from 0 to 17 μM. Conversely, the local pH remained constant at 7.2. The relation of local chemical profiles and the distribution of bacterial species within the oral microbiome was experimentally investigated in the context of bacterial H(2)O(2) antagonism. The benefit of clustered H(2)O(2) production was that the total area of H(2)O(2) produced by smaller clusters was 67% more than that of a single cluster with the same starting number of bacteria. Thus, this triple SECM tip can potentially be used to study local molecular mechanisms that result in dysbiosis of the oral microbiome.

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