Production ofl-lactic Acid and Oligomeric Compounds from Apple Pomace by Simultaneous Saccharification and Fermentation:  A Response Surface Methodology Assessment

2007 ◽  
Vol 55 (14) ◽  
pp. 5580-5587 ◽  
Author(s):  
Beatriz Gullón ◽  
Gil Garrote ◽  
José Luis Alonso ◽  
J. C. Parajó
2020 ◽  
Vol 1 (1) ◽  
pp. 7-12

Cocoa waste (CW) is an inexpensive agro-industrial by-product that is available in large quantities in tropical countries such as Malaysia. The rate of ethanol production can be affected by different parameters involved during fermentation. In this study, response surface methodology (RSM) with the full factorial design was used to obtain optimum conditions for bioethanol production using CW as the substrate. The simultaneous saccharification and fermentation (SSF) performed with an isolated microorganism from locally fermented food tapai ubi and tapai pulut. The effect of four independent variables temperature, CW concentration, inoculum size, and pH was investigated. In the optimized condition temperature of 31.7°C, pH 6.0, inoculum size 10.5%, and CW concentration 0.3 g/L, the highest ethanol production was 9.5 ± 1.1. ANOVA analysis revealed that temperature and CW concentration had the most significant effects on ethanol production. In addition, ethanol production was increased in the highest level of pH and inoculum size. Therefore it can be concluded that ethanol production increased from 6.2 ± 0.8 g/L to 9.5 ± 1.1 g/L after optimization.


2018 ◽  
Vol 3 (4) ◽  
pp. 160-166
Author(s):  
Shahabaldin Rezania ◽  
Shaza Eva Mohamad ◽  
Adibah Yahya ◽  
Madihah Md Salleh

The rate of ethanol production can be affected by different parameters that involved during fermentation. In this study, acid treated cocoa waste (CW) was used as a lignocellulosic substrate for ethanol production in the simultaneous saccharification and fermentation (SSF) using microorganism isolated from locally fermented food tapai ubi and tapai pulut. For optimization, the experiments were carried out using response surface methodology (RSM). The effect of four independent variables temperature, CW concentration, inoculum size and pH during fermentation was investigated. A central composite design (CCD) was used to evaluate the effect and interactions of the parameters. ANOVA analysis revealed that pH and inoculum size had the most significant effects on the ethanol production. The optimized condition for the ethanol production was at temperature 31.7°C, pH 6.0, inoculum size 10.5% and CW concentration 0.3g/L while after optimization, ethanol podcution increased from 6.2±0.8g/L to 9.5±1.1g/L.


2017 ◽  
Vol 16 (1) ◽  
pp. 20-26 ◽  
Author(s):  
Xinhong Liang ◽  
Junjian Ran ◽  
Junliang Sun ◽  
Tianlin Wang ◽  
Zhonggao Jiao ◽  
...  

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