Pham Thanh-Luu, Tran Uyen Phuong, Bui Nghia Hiep, Bach Thuy Thi Ngoc, Tran Binh Van, Bui Xuan Thanh, Phan Tam Minh, Bui Ha Manh
Institute of Tropical Biology, Vietnam Academy of Science and Technology (VAST), 85 Tran Quoc Toan Street, District 3, Ho Chi Minh City, Vietnam.
Department of Environmental Sciences, Saigon University, 273 An Duong Vuong Street, District 5, Ho Chi Minh City 700000, Vietnam E-mail:
Water Sci Technol. 2021 Nov;84(10-11):3132-3142. doi: 10.2166/wst.2021.345.
In developing countries, nitrogen in the traditional market wastewater is a critical environmental problem. In this study, the microalga Chlorella sp., which was isolated from wastewater, was used to remove the total nitrogen (TN) from conventional market wastewater in combination with audible sound (Vietnamese classical music). In addition, effects of sound exposure on removal efficiency at different initial cell densities were analyzed. Results revealed that music sound control demonstrates potential to improve the removal efficiency. TN removal efficiencies of 96%, 69.5%, and 4.3% were observed for treatments with Chlorella sp./audible sound, Chlorella sp., and without Chlorella sp., respectively. The significance of probability value (p-value) (<0.05) on the paired sample t-test confirmed the critical role of audible sound and Chlorella sp. density on the TN removal in screening experiments. The predicted optimal conditions for TN removal were as follows: a Chlorella sp. density of 4%, an audible sound of 52.5 dB, and a cultivation time of 4.6 days. Results based on statistical analysis revealed that the quadratic models for TN removal are significant at a low p-value (<0.05) and a high predicted coefficient of determination (R = 0.9452) value. The obtained statistical results also indicated that most of the variables are significant for the abatement of TN from market wastewater using Chlorella sp.
在发展中国家,传统市场废水中的氮是一个关键的环境问题。在本研究中,从废水中分离出的微藻小球藻被用于结合可听声音(越南古典音乐)去除传统市场废水中的总氮(TN)。此外,还分析了声音暴露对不同初始细胞密度下去除效率的影响。结果表明,音乐声音控制显示出提高去除效率的潜力。小球藻/可听声音处理、小球藻处理和无小球藻处理的总氮去除效率分别为96%、69.5%和4.3%。配对样本t检验的概率值(p值)(<0.05)的显著性证实了可听声音和小球藻密度在筛选实验中对总氮去除的关键作用。预测的总氮去除最佳条件如下:小球藻密度为4%,可听声音为52.5分贝,培养时间为4.6天。基于统计分析的结果表明,总氮去除的二次模型在低p值(<0.05)和高预测决定系数(R = 0.9452)值时具有显著性。获得的统计结果还表明,大多数变量对于使用小球藻去除市场废水中的总氮具有显著性。