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Modeling and optimization of triclosan biodegradation by the newly isolated Bacillus sp. DL4: kinetics and pathway speculation

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Abstract

Triclosan is a widely used antibacterial agent and disinfectant, and its overuse endangered ecological safety and human health. Therefore, reducing residual TCS concentrations in the environment is an urgent issue. Bacillus sp. DL4, an aerobic bacterium with TCS biodegradability, was isolated from pharmaceutical wastewater samples. Response surface methodology (RSM) and artificial neural network (ANN) were carried out to optimize and verify the different condition variables, and the optimal growth conditions of strain DL4 were obtained (35 °C, initial pH 7.31, and 5% v/v). After 48 h of cultivation under the optimal conditions, the removal efficiency of strain DL4 on TCS was 95.89 ± 0.68%, which was consistent with the predicted values from RSM and ANN models. In addition, higher R2 value and lower MSE and ADD values indicated that the ANN model had a stronger predictive capability than the RSM model. Whole genome sequencing results showed that many functional genes were annotated in metabolic pathways related to TCS degradation (e.g., amino acid metabolism, xenobiotics biodegradation and metabolism, carbohydrate metabolism). Main intermediate metabolites were identified during the biodegradation process by liquid chromatography-mass spectrometry (LC–MS), and a possible pathway was hypothesized based on the metabolites. Overall, this study provides a theoretical foundation for the characterization and mechanism of TCS biodegradation in the environment by Bacillus sp. DL4.

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Data Availability and materials

Datasets used or analyzed during the current study are available from the corresponding author on reasonable request.

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Funding

This work was supported by the Fundamental Research Funds for Chinese Central Universities (No. N2101001).

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Contributions

Xuejie Li: formal analysis, writing—original draft, data curation; Xiaomin Hu: review and supervision, project administration; Xin Zhao: review and supervision; Fan Wang: data curation; Yan Zhao: data curation.

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Correspondence to Xiaomin Hu.

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The authors declare no competing interests.

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Highlights

• ANN model had a stronger predictive capability than the RSM model.

• After 48 h of cultivation, the removal efficiency of strain DL4 on TCS was 95.89 ± 0.68%.

Bacillus sp. DL4 was able to convert TCS to non-toxic compounds.

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Supplementary file1 (DOCX 3638 KB)

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Li, X., Hu, X., Zhao, X. et al. Modeling and optimization of triclosan biodegradation by the newly isolated Bacillus sp. DL4: kinetics and pathway speculation. Environ Sci Pollut Res (2024). https://doi.org/10.1007/s11356-024-33096-1

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  • DOI: https://doi.org/10.1007/s11356-024-33096-1

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