Heavy Metal Removal Techniques Using Response Surface Methodology: Water/Wastewater Treatment

İnce, Muharrem; İnce, Olcay Kaplan

doi:10.5772/intechopen.88915

Cited by 30 publications

(14 citation statements)

References 57 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The adsorption method is superior to the others due to its flexibility in design, ease of operation, and ease of handling. It is also thought to be more efficient and cost-effective (EPA, 1990;Ince and Ince, 2019). However, the majority of these methods have high operational costs for the treatment process as well as high capital costs.…”

Section: Environmental Monitoring Based On Artificial Neural Network ...mentioning

confidence: 99%

Detection and removal of emerging contaminants from water bodies: A statistical approach

2023

View full text Add to dashboard Cite

The integration of mathematical modelling in different scientific domains has increased dramatically in recent years. In general, modelling involves using programming languages, manipulating matrices, designing algorithms, and tracking functions and data to gain new insights and more quantitative and qualitative information about systems. These strategies have motivated researchers to investigate numerous approaches to accurately solve a variety of problems. In this direction, modelling and simulation have been used to create sensitive and focused detection methods for a variety of applications, including environmental control. New pollutants, including pesticides, heavy metals, and medications, are endangering wildlife by poisoning water supplies. As a result, numerous biosensors that use modelling for effective environmental monitoring have been documented in the literature. The most current model-inspired biosensors used for environmental monitoring will be discussed in this review study. Additionally, each analytical biosensor’s capabilities and degree of success will be discussed. Finally, present difficulties in this area will be highlighted.

show abstract

Section: Environmental Monitoring Based On Artificial Neural Network ...mentioning

confidence: 99%

Detection and removal of emerging contaminants from water bodies: A statistical approach

2023

View full text Add to dashboard Cite

show abstract

“…MBRs are advanced bioremediation technologies that combine the conventional biological treatment processes with a membrane filtration system that possesses higher capabilities of nutrient removal from wastewater (Foong et al., 2020). Along with the effective removal of various pollutants from wastes, the membrane‐based bioremediation technology can be employed for the recovery of heavy metals for reuse or sale (Ince & Ince, 2019). Bioremediation technologies, that focused on metal removal through natural microbial‐metal interaction, are active and growing (Zhu et al., 2019).…”

Section: Role Of Membrane Technology On Heavy Metal Reductionmentioning

confidence: 99%

Relevance of membrane biological reactor in heavy metals recovery: Diminutive review

Mengesha

Sahu

2021

Environmental Quality Mgmt

View full text Add to dashboard Cite

Heavy metals are extensively utilized in modern industries in various process. Subsequently a large quantity of waste generated as byproduct that have great impact on environment. A higher concentration of almost all heavy metals are toxic in nature for all living organisms. Therefore, the wastes discharged from the conventional treatment plants deteriorate the natural ecosystems; qualities of water sources and farmlands. Globally, activated sludge waste treatment technology have been widely used as a metal recovery process. The technique miscarried to attain the anticipated removal efficiency. Recently, membrane biological reactor (MBR) system has emerged as an important alternative to conventional activated sludge (CAS) systems. The work describes the potency of microbes for extraction heavy metal from wastes, the enhancements in biotechnology, characterization of specific wastes, optimization parameters to operate under various conditions that prevail in membrane bioreactors. The performance of the MBR technology shows good results to reduce all types heavy metals with supporting evidence, which obtained from the results of prominent studies.

show abstract

“…The current study has used the Response Surface Method (RSM), which is a mathematical and statistical technique to investigate the association between a group of controlled experimental factors and measures' responses according to one or more criteria (10,(19)(20)(21). The RSM is one of the most widely used methods as it develops, improves, and optimizes the processes, particularly in the presence of complex interactions (22). The greatest advantage of the RSM with CCD or Box-Behnken design is decreasing the number of experimental trials required to interpret multiple parameters (23).…”

Section: Objectivesmentioning

confidence: 99%

Response Surface Design for Removal of Lead by Different Lactic Acid Bacteria

2020

View full text Add to dashboard Cite

Background: Toxic heavy metals, such as lead, are widely used in industry and may cause serious health problems and ecological hazards for living organisms. Objectives: The current study aimed to investigate the removal efficiency of lead by Lactobacillus strains using a methodological approach. Methods: After selecting the bacteria with the maximum metals removal ability, experiments were conducted according to (i) the Plackett-Burman design (Minitab18 program) to screen several significant process factors and (ii) Central Composite Design (Design-Expert 11.1.2.0 program) to find out the optimum process conditions for the maximum capacity of metal removal efficiency. Results: The optimum pH, metal, and bacterial concentration were 6.76, 391 mg.L-1, and 4.60 g.L-1 for lead removal ability of L. acidophilus ATCC4356. A quadratic model was developed to correlate the variables with removal efficiency. According to the results, this model was not statistically significant (P > 0.05). Conclusions: The experimental removal efficiencies at the optimum condition for lead by L. acidophilus ATCC4356 (73.9%) were consistent with the predicted values. Consequently, due to their appreciate efficiency and the lower cost of the lead removal ability, these two bacteria may be a candidate as good biosorbents. The results also confirmed that the Response Surface Methodology is an appropriate methodology for modeling of removal efficiency.

show abstract

Heavy Metal Removal Techniques Using Response Surface Methodology: Water/Wastewater Treatment

Cited by 30 publications

References 57 publications

Detection and removal of emerging contaminants from water bodies: A statistical approach

Detection and removal of emerging contaminants from water bodies: A statistical approach

Relevance of membrane biological reactor in heavy metals recovery: Diminutive review

Response Surface Design for Removal of Lead by Different Lactic Acid Bacteria

Contact Info

Product

Resources

About