ArticleHeliyon2024
Response surface methodology for process optimization in livestock wastewater treatment: A review.
Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
7 citing papers in PubMed.
- Process optimization for protoplast preparation from Grifola frondosa and development of a high-yield mutant with enhanced mycelial growth and protein production.BMC biotechnology · 2026Article
- Optimising the elastic constants of Vachellia nilotica, Prosopis juliflora and Vachellia leucophloea/ceramic fillers epoxy composites using GRA.Scientific reports · 2026Article
- RSM based optimization and environmental impact assessment of a ternary blended one part alkali activated binder with enhanced mechanical performance.Scientific reports · 2026Article
- Artificial Neural Network - Multi-Objective Genetic Algorithm based optimization for the enhanced pigment accumulation in Synechocystis sp. PCC 6803.BMC biotechnology · 2025Article
- Water-Fertilizer Synergistic Effects and Resource Optimization for Alfalfa Production: A Central Composite Design and Response Surface Methodology Approach.Plants (Basel, Switzerland) · 2025Article
- Targeted Assay Engineering Enhances Bile Salt Hydrolase Activity in Heyndrickxia coagulans ATCC 7050 and Lactiplantibacillus plantarum ATCC 10012.Current microbiology · 2025Article
- Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
With increasing demand for meat and dairy products, the volume of wastewater generated from the livestock industry has become a significant environmental concern. The treatment of livestock wastewater (LWW) is a challenging process that involves removing nutrients, organic matter, pathogens, and other pollutants from livestock manure and urine. In response to this challenge, researchers have developed and investigated different biological, physical, and chemical treatment technologies that perform better upon optimization. Optimization of LWW handling processes can help improve the efficacy and sustainability of treatment systems as well as minimize environmental impacts and associated costs. Response surface methodology (RSM) as an optimization approach can effectively optimize operational parameters that affect process performance. This review article summarizes the main steps of RSM, recent applications of RSM in LWW treatment, highlights the advantages and limitations of this technique, and provides recommendations for future research and practice, including its cost-effectiveness, accuracy, and ability to improve treatment efficiency.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.