4.7 Article

Optimization of Biodegradation Characteristics of Sphingopyxis sp. YF1 against Crude Microcystin-LR Using Response Surface Methodology

期刊

TOXINS
卷 14, 期 4, 页码 -

出版社

MDPI
DOI: 10.3390/toxins14040240

关键词

MC-LR; Sphingopyxis sp; YF1; biodegradation; multiple environmental factor optimization; response surface methodology

资金

  1. Key Research and Development Projects in Hunan Province [2022SK2089]
  2. Hunan Province Excellent Youth Fund [2020JJ3053]
  3. Huxiang Youth Talent Program [2021RC3107]
  4. National Natural Science Foundation of China [81773393]
  5. Ministry of Science and Technology of China [2016YFC0900802]

向作者/读者索取更多资源

This study assessed the biodegradation characteristics of strain YF1 against MC-LR under different environmental factors. The optimal conditions for biodegrading MC-LR using YF1 were determined using response surface methodology. The optimal conditions were found to be 30 degrees C, pH 7, and 3 mu g/mL MC-LR with a biodegradation efficiency of 100%.
Sphingopyxis sp. YF1 has proven to be efficient in biodegrading microcystin (MC)-leucine (L) and arginine (R) (MC-LR); however, the optimal environmental factors to biodegrade the toxin have not been investigated. In this study, the biodegrading characteristics of strain YF1 against MC-LR were assessed under diverse environmental factors, including temperature (20, 30 or 40 degrees C), pH (5, 7 or 9) and MC-LR concentration (1, 3 or 5 mu g/mL). Data obtained from the single-factor experiment indicated that MC-LR biodegradation by strain YF1 was temperature-, pH- and MC-LR-concentration-dependent, and the maximal biodegradation rate occurred at 5 mu g/mL/h. Proposing Box-Behnken Design in response surface methodology, the influence of the three environmental factors on the biodegradation efficiency of MC-LR using strain YF1 was determined. A 17-run experiment was generated and carried out, including five replications performed at the center point. The ANOVA analysis demonstrated that the model was significant, and the model prediction of MC-LR biodegradation was also validated with the experimental data. The quadratic statistical model was established to predict the interactive effects of the environmental factors on MC-LR biodegradation efficiency and to optimize the controlling parameters. The optimal conditions for MC-LR biodegradation were observed at 30 degrees C, pH 7 and 3 mu g/mL MC-LR, with a biodegradation efficiency of 100% after 60 min. The determination of the optimal environmental factors will help to unveil the detailed biodegradation mechanism of MC-LR by strain YF1 and to apply it into the practice of eliminating MC-LR from the environment.

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