Mahmudi, Ali Optimization of Acid Hydrolysis Process on Macroalga Ulva lactuca for Reducing Sugar Production as Feedstock of Bioethanol. INTERNATIONAL JOURNAL of RENEWABLE ENERGY RESEARCH, 8 (1). pp. 466-475. ISSN 1309-0127 (Submitted)
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Abstract
The possibility of reducing sugar exploration as energy feedstock from Ulva lactuca through acid hydrolysis process was investigated in this study. In turn, reducing sugar can be fermented into ethanol as energy. The effects of hydrolysis time, sulfuric acid concentration, and sulfuric acid volume on the response of reducing sugar were also examined. Pretreatment procedure such as clean the U. lactuca, size reduction and drying process need to be done prior to the hydrolysis step. Analysis on reducing sugar concentration has been conducted by using dinitrosalicylic acid (DNS) method. The optimum condition of hydrolysis process determined by Response Surface Methodology (RSM) based on Central Composite Circumscribed (CCC) design as the original form of Central Composite Design (CCD). The analysis of variance (ANOVA) for response surface regression also has been observed. The optimum result of the hydrolysis process on U. lactuca to produce reducing sugar (29.050 mg/mL) were obtained at 87.4518 minutes of hydrolysis time, 3.72934% of sulfuric acid concentration, and 142.780 mL of sulfuric acid volume, with the desirability of 0.916242. The yield of reducing sugar from hydrolysis process of U. lactuca can be expressed by the equation of Y = – 59.04 + 0.4968 X1 + 10.17 X2 + 0.666 X3 – 0.002853 X1 2 – 1.0408 X2 2 – 0.002118 X3 2 – 0.01677 X2X3. Where Y is yield of reducing sugar concentration, X1 is hydrolysis time, X2 is sulfuric acid concentration, and X3 is sulfuric acid volume.
Item Type: | Article |
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Uncontrolled Keywords: | Alga, ANOVA, diluted acid hydrolysis, reducing sugar, Ulva lactuca |
Subjects: | Engineering > Informatics Engineering |
Divisions: | Fakultas Teknologi Industri > Teknik Informatika S1 |
Depositing User: | Mrs Retno Wulan Sari |
Date Deposited: | 25 Aug 2023 02:47 |
Last Modified: | 25 Aug 2023 02:47 |
URI: | http://eprints.itn.ac.id/id/eprint/12687 |
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