2011
DOI: 10.4014/jmb.1012.12026
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Statistical Optimization of Medium Composition for Bacterial Cellulose Production by Gluconacetobacter hansenii UAC09 Using Coffee Cherry Husk Extract – an Agro-Industry Waste

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Cited by 66 publications
(32 citation statements)
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“…Many agricultural and industrial wastes have been already investigated for the BNC production, including cashew tree residues 16 , dry olive mill residues 17 , konjac powder 18 , rice bark 19 , waste beer yeast 20 , oat hulls 21 , and coffee cherry husk 22 . However, there is still substantial interest to find out and utilize economical substrates that could promote the yield of BNC.…”
Section: Resultsmentioning
confidence: 99%
“…Many agricultural and industrial wastes have been already investigated for the BNC production, including cashew tree residues 16 , dry olive mill residues 17 , konjac powder 18 , rice bark 19 , waste beer yeast 20 , oat hulls 21 , and coffee cherry husk 22 . However, there is still substantial interest to find out and utilize economical substrates that could promote the yield of BNC.…”
Section: Resultsmentioning
confidence: 99%
“…As the substrates, especially the carbon source, can determine the costs of microbial fermentation processes, and particularly for BC production the culture media can be responsible for up to 65 % of the total process cost, several studies have been devoted to find new low-cost carbon sources, as glycerol remaining from biodiesel production and grape bagasse, a residue of wine production, coffee cherry husk extract, and corn steep liquor (Moosavi-Nasab and Yousefi 2011 ;Vazquez et al 2013;Castro et al 2013;Rani et al 2011;Carreira et al 2011).…”
Section: Introductionmentioning
confidence: 99%
“…RSM is then used to investigate the optimum region of significant factors [21]. It has many benefits including lean experiment design space, reliability, and assisting in understanding the interactions among the factors of various concentrations and, especially, successful optimization of medium compositions and fermentation process parameters [28,29].…”
mentioning
confidence: 99%