Modelling and optimization of nonylphenol biosorption by novel low-cost magnetic Chlorella vulgaris

IF 5.3 2区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES Emerging Contaminants Pub Date : 2024-02-15 DOI:10.1016/j.emcon.2024.100310
Fatemeh Rahmani , Nooshin Sajjadi , Mohammad Hadi Dehghani , Mozhgan Zaeimdar
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Abstract

Discharging untreated wastewater causes environmental pollution. This research examined the efficiency of removal and the adsorption process of Emerging Contaminant nonylphenol (NP) using magnetic Chlorella vulgaris (M-Chlorella vulgaris). The characterization of M-Chlorella vulgaris involved XRD, FESEM, EDS-Mapping, BET, FTIR, and VSM analyses. The impact of four different parameters—pH, M-Chlorella vulgaris dose, initial concentration of NP, and contact time on the biosorption process was investigated. To model and optimize the study while minimizing costs and the number of experiments, Response Surface Methodology (RSM) with Central Composite Design (CCD) was employed. According to the findings, the quadratic model with adjusted R2 = 0.96 was the best fitted among the other models. With pH = 3.5, dosage = 2.5 g/l, NP concentration = 4 mg/l, and reaction time = 70 min, which are the optimal parameters, the maximum removal effectiveness was about 91%. The Langmuir model (R2 = 0.998) and pseudo-second-order model (R2 = 0.997) exhibited the best fits for the adsorption isotherm and kinetic studies, respectively. The characteristics of M-Chlorella vulgaris were determined to facilitate a spontaneous nature, and thermodynamic experiments indicated that the process of adsorption of nonylphenol is exothermic. The inexpensiveness and availability of adsorbent, suitable efficiency in the biosorption of pollutant and magnetic collection of pollutant from the aquatic environment can be mentioned as the advantages of this process.

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新型低成本磁性小球藻对壬基酚的生物吸附建模与优化
未经处理的废水排放会造成环境污染。本研究考察了磁性小球藻(M-Chlorella vulgaris)对新污染物壬基酚(NP)的去除效率和吸附过程。磁性小球藻的表征包括 XRD、FESEM、EDS-Mapping、BET、FTIR 和 VSM 分析。研究了四个不同参数(HH 值、M-小球藻剂量、NP 初始浓度和接触时间)对生物吸附过程的影响。为了建立模型并优化研究,同时最大限度地降低成本和实验次数,采用了响应面方法学(RSM)和中央复合设计(CCD)。研究结果表明,调整后 R2 = 0.96 的二次模型是其他模型中拟合效果最好的。在 pH = 3.5、用量 = 2.5 克/升、NP 浓度 = 4 毫克/升、反应时间 = 70 分钟的最佳参数条件下,最大去除率约为 91%。在吸附等温线和动力学研究中,朗缪尔模型(R2 = 0.998)和伪二阶模型(R2 = 0.997)的拟合效果最好。经测定,M-小球藻的特性具有自发性,热力学实验表明,壬基酚的吸附过程是放热的。吸附剂的廉价性和可获得性、生物吸附污染物的适当效率以及从水环境中磁性收集污染物可以说是该工艺的优点。
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来源期刊
Emerging Contaminants
Emerging Contaminants Medicine-Public Health, Environmental and Occupational Health
CiteScore
10.00
自引率
6.70%
发文量
35
审稿时长
44 days
期刊介绍: Emerging Contaminants is an outlet for world-leading research addressing problems associated with environmental contamination caused by emerging contaminants and their solutions. Emerging contaminants are defined as chemicals that are not currently (or have been only recently) regulated and about which there exist concerns regarding their impact on human or ecological health. Examples of emerging contaminants include disinfection by-products, pharmaceutical and personal care products, persistent organic chemicals, and mercury etc. as well as their degradation products. We encourage papers addressing science that facilitates greater understanding of the nature, extent, and impacts of the presence of emerging contaminants in the environment; technology that exploits original principles to reduce and control their environmental presence; as well as the development, implementation and efficacy of national and international policies to protect human health and the environment from emerging contaminants.
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