Application of one –factor- at-a-time and statistical designs to enhance α-amylase production by a newly isolate Bacillus subtilis strain-MK1

Ahmed, Samia A.; Abdella, Mohamed A.A.; El-Sherbiny, Gamal M.; Ibrahim, Atef M.; El-Shamy, Aliaa R.; Atalla, Sherien M. M.

doi:10.1016/j.bcab.2019.101397

Cited by 25 publications

(19 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…NRC22017 isolated from marine environment, where they tested the various physico-chemical parameters for the optimum production (15.15 ± 0.47 U/mL). The results obtained by optimization of the production process were found higher than the previous experimental reports by Blanco et al [42] and Ahmed et al [21] on the extracellular amylase production by Bacillus subtilis (9.26 and 145.4 U/mL, respectively). The obtained results demonstrate that the statistical approaches have a significant role in the amylase production by Bacillus spp.…”

Section: Discussioncontrasting

confidence: 76%

See 1 more Smart Citation

Statistical Based Bioprocess Design for Improved Production of Amylase from Halophilic Bacillus sp. H7 Isolated from Marine Water

et al. 2021

View full text Add to dashboard Cite

Amylase (EC 3.2.1.1) enzyme has gained tremendous demand in various industries, including wastewater treatment, bioremediation and nano-biotechnology. This compels the availability of enzyme in greater yields that can be achieved by employing potential amylase-producing cultures and statistical optimization. The use of Plackett–Burman design (PBD) that evaluates various medium components and having two-level factorial designs help to determine the factor and its level to increase the yield of product. In the present work, we are reporting the screening of amylase-producing marine bacterial strain identified as Bacillus sp. H7 by 16S rRNA. The use of two-stage statistical optimization, i.e., PBD and response surface methodology (RSM), using central composite design (CCD) further improved the production of amylase. A 1.31-fold increase in amylase production was evident using a 5.0 L laboratory-scale bioreactor. Statistical optimization gives the exact idea of variables that influence the production of enzymes, and hence, the statistical approach offers the best way to optimize the bioprocess. The high catalytic efficiency (kcat/Km) of amylase from Bacillus sp. H7 on soluble starch was estimated to be 13.73 mL/s/mg.

show abstract

Section: Discussioncontrasting

confidence: 76%

“…It is important to indicate the pattern of mutual interaction between the coefficients ( Table 5 ). The smaller the p -value, the more significant the corresponding coefficient is [ 21 ]. The all linear, quadratic coefficients and one interaction coefficient, i.e., E·F, were observed to be significant.…”

Section: Resultsmentioning

confidence: 99%

Statistical Based Bioprocess Design for Improved Production of Amylase from Halophilic Bacillus sp. H7 Isolated from Marine Water

et al. 2021

View full text Add to dashboard Cite

show abstract

“…It is important to indicate the pattern of mutual interaction between the coefficients ( Table 3). The smaller the p-value, more significant is the corresponding coefficient [21]. The all linear, quadratic coefficients, and one interaction coefficients i.e.…”

Section: Estimation Of Optimization Concentration Of Significant Varimentioning

confidence: 99%

Statistical-Based Bioprocess Optimization of Amylase Production from Halophilic Bacillus sp. H7.

Bandal¹,

Tile²,

Sayyed³

et al. 2021

Preprint

View full text Add to dashboard Cite

Using the above results from RMS analysis the optimum values were predicted for the independent significant variables (Figure 3) the optimized levels of these variables in combination with other media variables the maximum production was predicted to be 199.90 U/mL. The predicted data were validated through confirmatory experiments performed in triplicates. A 1.29-fold increase in amylase activity against un-optimized (OVAT) medium was achieved in the present study authenticating the efficacy of RSM in process optimization (Figure 4). 2.6 Model validation and scale-up at laboratory scale (5L) bioreactor Once the parameters were standardized in the shake-flasks culture, the experiment was scaled-up to a laboratory-scale bioreactor (5 L). The yield of amylase increased by 1.01 fold (205.69 U/mL), it could be possible because the enzyme production in a bioreactor is higher than in shake-flasks culture as the various critical variable factors such as the dissolved oxygen (DO) and the pH can be optimally controlled at the desired levels [22].

show abstract

“…α-Amylase enzyme was produced under submerged fermentation from isolated strain B. subtilis strain-MK1 as reported in the previous work by Ahmed et al 2019aAhmed et al , 2019b. The enzyme was partially purified using 60% (v/ v) ethanol precipitation; the precipitate was collected by centrifugation, dried, weighed, and used for α-amylase immobilization.…”

Section: Enzyme Productionmentioning

confidence: 99%

“…High stability of enzyme under industrial conditions is considered an economic advantage due to low enzyme loss. Enzyme immobilization is the simplest way to solve the stability problem of protein and reduce the expensive cost of applying them on an industrial scale (Ahmed et al 2019a(Ahmed et al , 2019b. Also, immobilization improves enzyme properties as activity, reduces the inhibition, increases stability, specificity to substrates, and avoids contamination of product by enzyme (Ahmed et al 2019a(Ahmed et al , 2019b.…”

Section: Introductionmentioning

confidence: 99%

Statistical optimization of chemical modification of chitosan-magnetic nano-particles beads to promote Bacillus subtilis MK1 α-amylase immobilization and its application

et al. 2020

Self Cite

View full text Add to dashboard Cite

Background: α-Amylase randomly hydrolyzes starch molecule to produce oligosaccharides of different chain length. It is among the most significant hydrolytic enzymes used in industrial applications. Enzyme immobilization is the simplest way to solve the stability problem of protein under industrial harsh conditions. Magnetic nano-particles considered suitable for immobilization due to their unique characteristics. The polymer nanocarriers still the feature of modifiable surfaces of carriers for further conjugation with biomolecule. This study aims to promote the immobilization of Bacillus subtilis MK1 α-amylase using the statistical optimization of the chemical modification of the chitosan-magnetic nano-magnetic particle beads and their ability to apply. Results: B. subtilis MK1 α-amylase was successfully immobilized on chitosan-magnetic nano-particles using a method combining the advantages of both physical adsorption and covalent binding. The beads were chemically modified using polyethyleneimine (PEI) followed by glutaraldehyde (GA). Aminated beads by (PEI), activated beads by (GA), and immobilized enzyme on activated beads were characterized using FTIR. Morphological examinations of the beads surface before and after conjugation with the α-amylase enzyme were carried out using scanning electron microscope (SEM). Chemical modification parameters of the beads were optimized using response surface methodology based on central composite design. Statistical approach enhanced the immobilization yield (IY%) by 1.5-fold. The application of immobilized enzyme in the baking process enhanced dough-raising about 2.3-fold and can be reused for 5 cycles with 100% activity. Conclusions: Statistical methods are an important way to improve immobilization yield and efficiency. The ANOVA data confirmed the fitness of the model which possessed R 2 value (0.975) and the adjusted R 2 value (0.940). The results confirm the ability to reuse the immobilized enzyme in industrial processes.

show abstract

Application of one –factor- at-a-time and statistical designs to enhance α-amylase production by a newly isolate Bacillus subtilis strain-MK1

Cited by 25 publications

References 25 publications

Statistical Based Bioprocess Design for Improved Production of Amylase from Halophilic Bacillus sp. H7 Isolated from Marine Water

Statistical Based Bioprocess Design for Improved Production of Amylase from Halophilic Bacillus sp. H7 Isolated from Marine Water

Statistical-Based Bioprocess Optimization of Amylase Production from Halophilic Bacillus sp. H7.

Statistical optimization of chemical modification of chitosan-magnetic nano-particles beads to promote Bacillus subtilis MK1 α-amylase immobilization and its application

Contact Info

Product

Resources

About