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Recently, the production of bioethanol is shifted to secondary bioethanol which is produced from nonedible lignocellulosic feedstock to avoid the food versus fuel issue. Mango leaves, a kind of nonedible lignocellulosic material (LCM) that possess a relatively 80.7% of holocellulose (inclusive of cellulose and hemicellulose), appear to be potential candidate to serve as cheap substrate source for bioethanol production. Hence, the objective of this article is to present the current scenario and the potential of mango leaves as a substrate source for bioethanol production. This article also provides an overview on various process parameters such as temperature, pH, substrate concentration, and incubation time that required to be optimized for an efficient fermentation process in the bioethanol production from LCM. Apart from that, several integrated fermentation technologies in bioethanol production which include separate hydrolysis and fermentation, simultaneous saccharification and fermentation, simultaneous saccharification and co‐fermentation, and consolidated bioprocessing will also be discussed in this article. Based on the findings, it is clear that mango leaves have the potential to serve as feedstock for bioethanol production.

In recent years, the biotechnological use of xylanases has grown remarkably. Xylanase is a hydrolytic enzyme with a broad industrial application. In specific, xylanase can convert xylan into xylose, a fermentable sugar source for secondary bioethanol production. The objective on this study is to investigate the significance of different parameter effects for an efficient xylanase production from Aspergillus niger (A. niger). In this study, four factors: incubation temperature, medium pH, incubation time, and agitation speed were screened by performing One-factor-at-a-time (OFAT) analysis. Xylanase production with the maximal enzyme activity was successfully obtained from OFAT analysis under condition of 32°C, pH 5.0, 5 days, and 150 rpm.

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Xylanases have stimulated considerable interest due to their potential application in several industries, especially in the bioethanol sector. Since the vitality of this enzyme is undeniable, this research is focused on optimization of on-site xylanase production from Aspergillus niger (A. niger). This initiative could reduce the dependence of commercial xylanase. Central Composite Design (CCD) was implemented in the process of xylanase production optimization. Incubation temperature and medium pH were two parameters selected to statistically optimized using Response Surface Methodology (RSM) in order to improve the xylanase production. From the data analyzed by Design of Experiment (DoE), maximal xylanase production was predicted to produce under condition of 32.67 °C and pH 4.56 with desirability of 0.936. A validation test with triplicate was done to verify the predicted result. The maximum enzyme activity of 0.5638 U/mL was obtained from the validation test.