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通过基于逼近理想解排序法的决策系统优化受污染环境中拟除虫菊酯生物降解的微生物菌株选择。

Optimizing microbial strain selection for pyrethroid biodegradation in contaminated environments through a TOPSIS-based decision-making system.

机构信息

School of Agriculture, Graphic Era Hill University, Bhimtal, 263132, India.

Department of Mathematics, Jaypee University, Anoopshar, 203390, Uttar Pradesh, India.

出版信息

Sci Rep. 2024 Jun 28;14(1):14928. doi: 10.1038/s41598-024-59223-z.

Abstract

Improved and contemporary agriculture relies heavily on pesticides, yet some can be quite persistent and have a stable chemical composition, posing a significant threat to the ecology. Removing harmful effects is upon their degradability. Biodegradation must be emphasized to lower pesticide degradation costs, especially in the soil. Here, a decision-making system was used to determine the best microbial strain for the biodegradation of the pyrethroid-contaminated soil. In this system, the criteria chosen as: pH (C), Temp (C), RPM (C), Conc. (C), Degradation (%) (C) and Time required for degradation(hrs) (C); and five alternatives were Bacillus (A), Acinetobacter (A), Escherichia (A), Pseudomonas (A), and Fusarium (A). The best alternative was selected by applying the TOPSIS (technique for order performance by similarity to ideal solution) method, which evaluates based on their closeness to the ideal solution and how well they meet specific requirements. Among all the specified criteria, Acinetobacter (A) was the best and optimal based on the relative closeness value (( ) = 0.740 (A) > 0.544 (A) > 0.480 (A) > 0.403 (A) > 0.296 (A)). However, the ranking of the other alternatives is also obtained in the order Fusarium (A), Bacillus (A), Pseudomonas (A), Escherichia (A). Hence this study suggests Acinetobacter is the best microbial strain for biodegradation of pyrethroids; while least preference should be given to Escherichia. Acinetobacter, versatile metabolic nature with various xenobiotic compounds' degradation ability, is gram-negative, aerobic, coccobacilli, nonmotile, and nonspore forming bacteria. Due to less study about Acinetobacter it is not in that much frame as the other microorganisms. Hence, considering the Acinetobacter strain for the biodegradation study will give more optimal results than the other microbial strains. Novelty of this study, the TOPSIS method is applied first time in selecting the best microbial strain for the biodegradation of pyrethroid-contaminated soil, considering this selection process as multi-criteria decision-making (MCDM) problem.

摘要

改良和现代农业严重依赖农药,但有些农药可能具有很强的持久性和稳定的化学组成,对生态系统构成重大威胁。消除有害影响取决于它们的可降解性。必须强调生物降解,以降低农药降解成本,特别是在土壤中。在这里,使用决策系统来确定用于降解拟除虫菊酯污染土壤的最佳微生物菌株。在该系统中,选择的标准为:pH 值(C)、温度(C)、RPM(C)、浓度(C)、降解率(C)和降解所需时间(hrs)(C);有五个替代方案:芽孢杆菌(A)、不动杆菌(A)、大肠杆菌(A)、假单胞菌(A)和镰刀菌(A)。通过应用 TOPSIS(逼近理想解的排序方法)方法选择最佳替代方案,该方法根据与理想解的接近程度以及满足特定要求的程度进行评估。在所指定的标准中,不动杆菌(A)是最好的,根据相对接近值(( )= 0.740(A)> 0.544(A)> 0.480(A)> 0.403(A)> 0.296(A))是最优的。然而,其他替代方案的排名也按照镰刀菌(A)、芽孢杆菌(A)、假单胞菌(A)、大肠杆菌(A)的顺序获得。因此,本研究表明,不动杆菌是降解拟除虫菊酯的最佳微生物菌株;而对大肠杆菌的偏好度最低。不动杆菌具有各种外来化合物的降解能力,是革兰氏阴性、需氧、球杆菌、非运动和非孢子形成的细菌。由于对不动杆菌的研究较少,因此它不如其他微生物那样受到重视。因此,考虑使用不动杆菌进行生物降解研究将比使用其他微生物菌株获得更优化的结果。本研究的新颖之处在于,首次应用 TOPSIS 方法选择用于降解拟除虫菊酯污染土壤的最佳微生物菌株,将这一选择过程视为多准则决策(MCDM)问题。

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