探索混合、初始 pH 值变化和光波长对硅藻修复废水的协同效应

IF 4.8 Q1 ENVIRONMENTAL SCIENCES
Sumit Dhali, Rahul Jain, Anushree Malik*, Satyawati Sharma, Ramesh Raliya and Thilini U. Ariyadasa, 
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引用次数: 0

摘要

虽然硅藻作为去除二氧化硅污染物的媒介已经过测试,但影响光生物过程的因素仍有待探索。目前的工艺是对各种非生物因素进行优化组合,如 pH 值(5、6、7、8 和 9)、混合条件(曝气、磁力搅拌器和摇动诱导混合)和光波长(红光:665-630 纳米,蓝光:465-430 纳米,白光:665-420 纳米),以利用硅藻 Navicula sp.从 WC 培养基中去除二氧化硅。pH 值为 7 和磁力搅拌器搅拌(80-100 转/分)相结合的硅去除率最高,为 11.93 ± 0.15 mg L-1d-1。使用蓝波长光的优化工艺将二氧化硅去除率提高到 14.43 ± 0.37 mg L-1d-1,生物量生产率提高到 95.15 ± 1.34 mg L-1d-1。此外,还在优化和非优化条件下测试了冷却塔排污水的生物修复。在优化条件下,二氧化硅去除率达到 13.90 ± 0.26 mg L-1d-1,是未优化条件(3.77 ± 0.42 mg L-1d-1)的 3.69 倍。此外,该工艺还去除了 99% 的总溶解磷酸盐(3.05 ± 0.10 mg L-1d-1)、硝酸盐氮(12.27 ± 0.49 mg L-1d-1)和 54.27% 的化学需氧量。利用硅藻优化非生物因素有助于实现绿色富硅废水生物修复。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Exploring the Synergistic Effects of Mixing, Initial pH Variability, and Light Wavelength on Diatom-Mediated Wastewater Remediation

Exploring the Synergistic Effects of Mixing, Initial pH Variability, and Light Wavelength on Diatom-Mediated Wastewater Remediation

Though diatoms as agents to remove silica pollutants have already been tested, the factors governing the photobiological process remain unexplored. The current process was developed to optimize various combinations of abiotic factors like pH (5, 6, 7, 8, and 9), mixing conditions (aeration, magnetic stirrer, and shaking-induced mixing), and light wavelength (red: 665–630 nm, blue: 465–430 nm, and white: 665–420 nm) for silica removal using diatom Navicula sp. from WC media. A combination of pH 7 and magnetic stirrer mixing (80–100 rpm) gave the best silica removal at 11.93 ± 0.15 mg L–1d–1. This optimized process with blue wavelength light increased the silica removal rate to 14.43 ± 0.37 mg L–1d–1 and biomass productivity to 95.15 ± 1.34 mg L–1d–1. Further, bioremediation of cooling tower blowdown water was tested under optimized and unoptimized conditions. A silica removal rate of 13.90 ± 0.26 mg L–1d–1 was achieved under optimized conditions, 3.69-fold greater than the unoptimized conditions (3.77 ± 0.42 mg L–1d–1). Additionally, this process removed >99% of total dissolved phosphate (3.05 ± 0.10 mg L–1d–1), nitrate nitrogen (12.27 ± 0.49 mg L–1d–1), and 54.27% chemical oxygen demand. Such optimization of abiotic factors using diatoms helps in achieving green silica-rich wastewater bioremediation.

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