Response Surface Optimization of Bioethanol Production from Sugarcane Molasses by<i> Pichia veronae</i> Strain HSC-22

Hamouda, Hamed I.; Nassar, Hussein N.; Madian, Hekmat R.; Amr, Salem S. Abu

doi:10.1155/2015/905792

Cited by 24 publications

(25 citation statements)

References 17 publications

(27 reference statements)

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Additionally, adequate precision measures the signal to noise ratio , and this ratio greater than 4 is desirable. The ratios for the models were all greater than 4 ( Table 2 , S4 Table ), indicating models are sufficiently precisionand can be used to guide experiments[ 33 ].…”

Section: Discussionmentioning

confidence: 99%

Optimization of multiplex quantitative polymerase chain reaction based on response surface methodology and an artificial neural network-genetic algorithm approach

Pan

Jin

et al. 2018

PLoS ONE

View full text Add to dashboard Cite

Multiplex quantitative polymerase chain reaction (qPCR) has found an increasing range of applications. The construction of a reliable and dynamic mathematical model for multiplex qPCR that analyzes the effects of interactions between variables is therefore especially important. This work aimed to analyze the effects of interactions between variables through response surface method (RSM) for uni- and multiplex qPCR, and further optimize the parameters by constructing two mathematical models via RSM and back-propagation neural network-genetic algorithm (BPNN-GA) respectively. The statistical analysis showed that Mg2+ was the most important factor for both uni- and multiplex qPCR. Dynamic models of uni- and multiplex qPCR could be constructed using both RSM and BPNN-GA methods. But RSM was better than BPNN-GA on prediction performance in terms of the mean absolute error (MAE), the mean square error (MSE) and the Coefficient of Determination (R2). Ultimately, optimal parameters of uni- and multiplex qPCR were determined by RSM.

show abstract

Section: Discussionmentioning

confidence: 99%

Optimization of multiplex quantitative polymerase chain reaction based on response surface methodology and an artificial neural network-genetic algorithm approach

Pan

Jin

et al. 2018

PLoS ONE

View full text Add to dashboard Cite

show abstract

“…The concentration of carbohydrates in molasses and thin stillage was determined by high‐performance liquid chromatography (HPLC) using the Dionex Ultimate 3000 HPLC system (Thermo Scientific, Waltham, MA, USA) equipped with a reverse‐phase column (Hypersil gold C18, 150 × 4.6 mm, 5 μm) operated at 35 °C. The mobile phase was CH 3 CH–H 2 O (80:20) at a constant elution rate of 1.2 mL min −1 . Detection of carbohydrates was performed using a RefractoMax 520 RI detector (ERC, Riemerling, Germany).…”

Section: Methodsmentioning

confidence: 99%

Bioprocessing of agro‐industrial residues into lactic acid and probiotic enriched livestock feed

et al. 2019

View full text Add to dashboard Cite

BACKGROUND: Growing challenges of resource depletion, food security and environmental protection are putting stress on the development of biorefinery processes for bioprocessing of residues from food and agro-industry into value-added products. In this study, the simultaneous production of lactic acid (LA) and livestock feed on a combined substrate based on molasses and potato stillage by Lactobacillus paracasei NRRL B-4564 immobilized onto sunflower seed hull (SSH), brewer's spent grain (BSG) and sugar beet pulp (SBP) was studied. RESULTS:The highest total LA concentration of 399 g L −1 with overall productivity of 1.27 g L −1 h −1 was achieved in repeated batch fermentation by SBP-immobilized biocatalyst, followed by BSG-and SSH-immobilized cells. Fermentation improved the content of proteins and ash, and decreased the content of fibers in all three support materials. In addition, the fermentation had favorable effect on in vitro dry matter digestibility and energy values of SSH and BSG. According to assessment of probiotic potential, L. paracasei demonstrated a favorable probiotic profile, exhibiting high resistance to simulated ruminant digestive tract and significant antioxidant and antimicrobial activity. CONCLUSIONS: The proposed strategy enables valorization of agro-industrial residues as value-added ruminant feed and simultaneous LA production. Following principles of circular economy, the developed process combines different raw materials and integrates them into a biorefinery process, improving the overall profitability and productivity. Probiotic potential of L. paracasei NRRL B-4564Phenotypic characteristics, such as survival in simulated conditions of GIT, antimicrobial and antioxidant activity, as well as J Sci Food Agric 2019; 99: 5293-5302

show abstract

“…Pichia veronae strain HSC-22 was used for bioethanol production from sugarcane molasses. Under optimized conditions, the maximal bioethanol production in a 10 L batch bioreactor was 32 g/L with a yield of 0.44 g/g [113].…”

Section: Alternative Saccharidesmentioning

confidence: 99%

Organic Wastes as Feedstocks for Non-Conventional Yeast-Based Bioprocesses

2019

View full text Add to dashboard Cite

Non-conventional yeasts are efficient cell factories for the synthesis of value-added compounds such as recombinant proteins, intracellular metabolites, and/or metabolic by-products. Most bioprocess, however, are still designed to use pure, ideal sugars, especially glucose. In the quest for the development of more sustainable processes amid concerns over the future availability of resources for the ever-growing global population, the utilization of organic wastes or industrial by-products as feedstocks to support cell growth is a crucial approach. Indeed, vast amounts of industrial and commercial waste simultaneously represent an environmental burden and an important reservoir for recyclable or reusable material. These alternative feedstocks can provide microbial cell factories with the required metabolic building blocks and energy to synthesize value-added compounds, further representing a potential means of reduction of process costs as well. This review highlights recent strategies in this regard, encompassing knowledge on catabolic pathways and metabolic engineering solutions developed to endow cells with the required metabolic capabilities, and the connection of these to the synthesis of value-added compounds. This review focuses primarily, but not exclusively, on Yarrowia lipolytica as a yeast cell factory, owing to its broad range of naturally metabolizable carbon sources, together with its popularity as a non-conventional yeast.

show abstract

Response Surface Optimization of Bioethanol Production from Sugarcane Molasses by Pichia veronae Strain HSC-22

Cited by 24 publications

References 17 publications

Optimization of multiplex quantitative polymerase chain reaction based on response surface methodology and an artificial neural network-genetic algorithm approach

Optimization of multiplex quantitative polymerase chain reaction based on response surface methodology and an artificial neural network-genetic algorithm approach

Bioprocessing of agro‐industrial residues into lactic acid and probiotic enriched livestock feed

Organic Wastes as Feedstocks for Non-Conventional Yeast-Based Bioprocesses

Contact Info

Product

Resources

About