English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

In this work the production of bioethanol from lignocellulosic biodegradable municipal solid waste (BMSW), was studied. The maximum yield of reducing sugar was 4102.27 mg/L with optimum conditions; initial concentration 4%, pH 6, incubation time 16 hrs., and inoculum 2%. Response surface methodology (RSM) was employed to optimize the process parameters of bioethanol production. Maximum bioethanol yield 332.9 mg/L, was practically achieved fllowing thirty different experimental runs, as specified by 2 4 –full factorial central composte design(CCD). The optimum values for the aforementioned four prameters, corresponding to the maximum yield. were; initial sugar weight = 75 g/L, pH = 6, fermentation time = 39 hrs. (aerobic fermentation = 24 hrs. and anaerobic fermentation = 15 hrs.), and finally yeast inoculum = 2 mL/L. The obtained data were utilized to develop a semi-empirical model, based on a second degree polynomial, which help to predict bioethanol yield. The model was tested using ANOVA software (Design Expert 10) and the (R 2 = 0.9771), which is acceptable. The develop model using to generate contour plots and yield response surface. Maximum bioethanol production was observed in lab scale bioreactor reached to 492.9 mg/L within optimum conditions.

Optimization of Bioethanol Production from Biodegradable Municipal Solid Waste using Response Surface Methodology (RSM)