Optimization of Enhanced Ultrafiltration Conditions for Cd with Mixed Biosurfactants Using the Box-Behnken Response Surface Methodology

Chai, Tuanyao; Yan, H Z; Zhang, Zhibin; Xu, Min; Wu, Yi‐Cheng; Jin, Lan; Huang, Guohe; Fu, Haiyan

doi:10.3390/w11030442

Cited by 8 publications

(3 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…BBD are extensively used for second-order models in absolutesplit-plot experiments,randomized experiments and in robustfactor design settings [46]. It requires three levels for each processing factor, and experimental runs are executed depending on the combination of the factors [47].…”

Section: Box Behnken Design (Bbd)mentioning

confidence: 99%

Statistical optimization strategies on waste substrates for solving high-cost challenges in biosurfactants production: a review

Sharon,

Ahuekwe,

Nzubechi

et al. 2023

IOP Conf. Ser.: Earth Environ. Sci.

View full text Add to dashboard Cite

Biosurfactants are bio-based amphiphilic molecules with extensive applications in various industries. These eco-friendly alternatives possess numerous advantages over chemical surfactants. However, high production costs hinder market competitiveness of biosurfactants. Production costs of synthetic surfactants range between $1-3/kg, while biosurfactants cost between $20-25/kg. Principal challenges hindering commercialization of biosurfactants are high costs of media constituents and downstream processing, accounting for 30% and 60-80% of production costs, respectively. Thus, cost-effective biosurfactant production would depend on the utilization of environment-friendly low-cost substrates and efficient product recovery. To this end, statistical tools such as Factorial Designs (FD) and Response Surface Methodology (RSM), are employed to optimize the production processes. FD as effective screening models comprise Plackett-Burman Design (PBD) and Taguchi design; and involves quantification of various significant factor effects including the main effect and level of dependency of one factor on the level of one or more factors. RSM predicts appropriate proportions of media constituents and optimal culture conditions; and is reportedly effective in reducing production cost and consequently, market price. Central Composite Design (CCD) and Box-Behnken Design (BBD) are common RSM for optimizing biosurfactants production. CCD assesses the relationship between one factor or more and a set of experimental variables. BBD is considered more proficient than CCD as it requires fewer experimental runs. Most recently, Artificial Neural Network which uses artificial intelligence-based tools to predict biosurfactant production using dependent variables of the process is gaining attention.

show abstract

Section: Box Behnken Design (Bbd)mentioning

confidence: 99%

Statistical optimization strategies on waste substrates for solving high-cost challenges in biosurfactants production: a review

Sharon,

Ahuekwe,

Nzubechi

et al. 2023

IOP Conf. Ser.: Earth Environ. Sci.

View full text Add to dashboard Cite

show abstract

“…Inactivation of viral lipid envelopes and capsid [10] Anti-adhesive agents Sophorolipids Biosurfactants adsorption to a substratum modifies the surface hydrophobicity thereby interfering with microbial adhesion and desorption process Modification of the rheological characteristics of the food to a desired consistency and texture using emulsification properties [17,179,209] [175]…”

Section: Sophorolipidsmentioning

confidence: 99%

Microbial Surfactants: The Next Generation Multifunctional Biomolecules for Diverse Applications

Fenibo¹,

Ijoma²,

Selvarajan³

et al. 2019

Preprint

View full text Add to dashboard Cite

Surfactants are a broad category of tensio-active biomolecules with multifunctional properties applications in diverse industrial sectors and processes. Surfactants are produced synthetically and biologically. The biologically derived surfactants (biosurfactants) are produced from microorganisms with Pseudomonas aeruginosa, Bacillus subtilis Candida albicans and Acinetobacter calcoaceticus as dominant species. Rhamnolipids, sophorolipids, mannosylerithritol lipids, surfactin, and emulsan are well known in terms of their biotechnological applications. Biosurfactants can compete with the synthetic surfactants in terms of performance with established advantages over the synthetic ones including eco-friendliness, biodegradability, low toxicity, and stability over a wide variability of environmental factors. However, at present, the synthetic surfactants are a preferred option in different industrial applications, because of their availability in commercial quantities, unlike the biosurfactants. Usage of synthetic surfactants introduce new species of recalcitrant pollutants to the environment and lead to undesired results where a wrong selection of surfactants is made. Substituting synthetic surfactants with biosurfactants resolves these drawbacks, thus, interest has been intensified in biosurfactant applications in a wide range of industries hitherto considered as experimental fields. This review, therefore, intends to offer an overview of diverse applications where biosurfactants have found useful, with emphases in petroleum biotechnology, environmental remediation and in the agriculture sector. Application of biosurfactant in these settings would lead to industrial growth and environmental sustainability.

show abstract

“…A vast repertoire of biosurfactants have been reported with myriad of biomolecule contents and have the highest application food and allied industries (Markande & Nerurkar, 2019). Nutrient parameters influencing the production of biosurfactants having industrial applications especially in petroleum and environmental have been consistently reported (Chai et al, 2019;Hema et al, 2019;Sharma & Pandey, 2020;Somoza-Coutiño et al, 2020;Yaraguppi, et al, 2020). But the microbial amyloid bioemulsifiers have high applicability potential in food industry as they can be stable and can be extensively resistant to sterilization conditions.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Nutritional Factors Influencing the Biosynthesis of Amyloid Bioemulsifier Be-Am1 Applicable in Food Industry

Markande

Nerurkar

2021

J microb biotech food sci

View full text Add to dashboard Cite

Thermostable glycoprotein amyloid bioemulsifier BE-AM1 was reported from Solibacillus silvestris AM1. S. silvestris could produce better BE-AM1 in 1% inoculum size and 18h inoculum age. The BE-AM1 production by S. silvestris AM1 has been seen to be unaffected by amending the production and growth medium (Zobel Marine medium) with Carbon and Nitrogen sources. The effects of 16 nutrient factors (from ZM medium) were analyzed statistically by one factor at a time, Plackett-Burman and Response surface methodologies. Among the nutritive factors, yeast extract and peptone were found to be significant, increasing the production quantity of BE-AM1. The time course of production of BE-AM1 was affected significantly by altering the release of the biomolecule from the surface of the bacterium. This will be the first study to analyse the effect of factors influencing the production of industrially important functional amyloid protein from bacterial source having potential in environmental remediation and microbial interaction.

show abstract

Optimization of Enhanced Ultrafiltration Conditions for Cd with Mixed Biosurfactants Using the Box-Behnken Response Surface Methodology

Cited by 8 publications

References 25 publications

Statistical optimization strategies on waste substrates for solving high-cost challenges in biosurfactants production: a review

Statistical optimization strategies on waste substrates for solving high-cost challenges in biosurfactants production: a review

Microbial Surfactants: The Next Generation Multifunctional Biomolecules for Diverse Applications

Analysis of Nutritional Factors Influencing the Biosynthesis of Amyloid Bioemulsifier Be-Am1 Applicable in Food Industry

Contact Info

Product

Resources

About