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富含苯酚废水中的细菌群落及其在生物修复中的潜力:动力学建模。

Bacterial Communities in Effluents Rich in Phenol and Their Potential in Bioremediation: Kinetic Modeling.

机构信息

Facultad de Ciencias Forestales y Ambientales, Universidad Juárez del Estado de Durango, Río Papaloapan, Valle del Sur, Durango 34120, Mexico.

Ingeniería en Tecnología Ambiental, Universidad Politécnica de Durango, Carretera Durango-México km 9.5, Col. Dolores Hidalgo, Durango 34300, Mexico.

出版信息

Int J Environ Res Public Health. 2022 Oct 31;19(21):14222. doi: 10.3390/ijerph192114222.

Abstract

Phenol is used in the manufacturing process of phenolic resins from which residues remain that must be sent for confinement. For that reason, in this study, the wastewater of a resin factory was analyzed to isolate the bacteria present, identify them by molecular methods and finally evaluate their impact on bioremediation treatment. A total of 15 bacteria were isolated, of these, eight belong to the genus spp. All bacteria were individually multiplied and inoculated in clusters in 15 L reactors which were carefully monitored for pH, electrical conductivity, chemical oxygen demand and temperature. The acquired data were analyzed using ANOVA with repeated measurements. The first test revealed that native bacterial communities reduce the phenol content by up to 20% and COD by 49%, which is significant with respect to the reactor not being inoculated with bacteria. Furthermore, when a mathematical model was applied to the reactors, it was shown that the bacteria require an adaptation time of approximately 100 h. A second test where the inoculation was interspersed with the addition of lime as a flocculant showed that, even though the reduction in phenol and COD was lower than in the previous test, the difference between treatments and control is statistically significant (α ≤ 0.05).

摘要

苯酚用于酚醛树脂的制造过程中,会产生残留废物,必须进行封存。因此,在这项研究中,分析了一家树脂厂的废水,以分离其中存在的细菌,通过分子方法对其进行鉴定,并最终评估它们对生物修复处理的影响。共分离出 15 株细菌,其中 8 株属于 spp. 属。所有细菌均单独繁殖,并在 15 L 反应器中分组接种,仔细监测 pH 值、电导率、化学需氧量和温度。使用具有重复测量的方差分析对获得的数据进行分析。第一次测试表明,土著细菌群落可将苯酚含量降低高达 20%,化学需氧量降低 49%,与未接种细菌的反应器相比,这一效果显著。此外,当将数学模型应用于反应器时,表明细菌需要大约 100 小时的适应时间。第二次测试中,接种细菌的过程中穿插添加石灰作为絮凝剂,结果表明,尽管苯酚和 COD 的减少低于前一次测试,但处理组与对照组之间的差异在统计学上具有显著性(α≤0.05)。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/85cd/9658233/a88c3380cd96/ijerph-19-14222-g001.jpg

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