Optimization of microalgal biomass (Scenedesmus dimorphus) for maximized bioethanol production through response surface methodology (RSM)

被引:0
|
作者
Pandian, Muttu [1 ]
Murugesan, Varsha [1 ]
Muthiah, Perumalsamy [1 ,2 ]
机构
[1] Natl Inst Technol, Dept Chem Engn, Bioseparat Engn Lab, Tiruchirappalli, Tamil Nadu, India
[2] Natl Inst Technol, Dept Chem Engn, Tiruchirappalli 620015, Tamil Nadu, India
关键词
Bioethanol; Microalgae; Scenedesmus dimorphus; Nutrient starvation; Medium optimization; Microwave-assisted acid hydrolysis; ACID-HYDROLYSIS; PRETREATMENT; BIOCHAR;
D O I
10.1007/s13399-024-05816-7
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Microalgae show great potential as a bioethanol feedstock, primarily attributed to their rapid growth rates and higher carbohydrate content. The pretreatment of biomass is recognized as a crucial step in bioethanol production, as it is essential for providing fermentable reducing sugars (monosaccharides) necessary for yeast (Saccharomyces cerevisiae) growth. It is essential to optimize this step individually for each influencing parameter to enhance overall efficiency. The present study focuses on the optimization of the growth medium with the starvation conditions and microwave-assisted acid hydrolysis (with H2SO4) of Scenedesmus dimorphus through RSM (response surface methodology), investigating the impact of temperature, time of hydrolysis, acid concentration, and acid volume on the yield of carbohydrate, reducing sugar and bioethanol. Preliminary studies facilitated the identification of an appropriate strategy for cultivation in a growth medium and determining the extent to which the variables must be optimized. The medium optimization resulted in a higher carbohydrate yield (30%) in the Zarrouk medium under starved conditions. The generated models forecasted the maximum reducing sugar content (0.59 g/L; R-2 = 0.977) after 11.87 min of acid hydrolysis under the temperature (145.16 degrees C) with an acid concentration of 1.25 N and acid volume (2.86 mL) whereas the maximum carbohydrate conversion yield (0.45 g/g) and bioethanol yield (20.5 wt%). When comparing the efficiency of carbohydrate conversion, the optimized process demonstrated an impressive 95.2% conversion rate, whereas the conventional process exhibited a significantly lower conversion rate of 62.18%. In summary, this research successfully identified the optimal growth medium and refined process conditions, ultimately maximizing the production of bioethanol.
引用
收藏
页数:17
相关论文
共 50 条
  • [1] Sustainable production of bioethanol using lipid-extracted biomass from Scenedesmus dimorphus
    Chng, Lee Muei
    Chan, Derek J. C.
    Lee, Keat Teong
    [J]. JOURNAL OF CLEANER PRODUCTION, 2016, 130 : 68 - 73
  • [2] Optimization of Bioethanol Production from Sweet Sorghum Bagasse Using Response Surface Methodology (RSM)
    Yousefian, Shirin
    Mohammadi-Nejad, Ghasem
    Salarpour, Mahdiyeh
    Farimani, Hajimohammadi Reza
    [J]. IRANIAN JOURNAL OF CHEMISTRY & CHEMICAL ENGINEERING-INTERNATIONAL ENGLISH EDITION, 2024, 43 (01): : 480 - 498
  • [3] Optimization of biodiesel production from wet microalgal biomass by direct transesterification using the surface response methodology
    Macias-Sanchez, M. D.
    Robles-Medina, A.
    Jimenez-Callejon, M. J.
    Hita-Pena, E.
    Esteban-Cerdan, L.
    Gonzalez-Moreno, P. A.
    Navarro-Lopez, E.
    Molina-Grima, E.
    [J]. RENEWABLE ENERGY, 2018, 129 : 141 - 149
  • [4] Optimization of alkaline pretreatment of Eucalyptus urophylla ST Blake wood residue by Response Surface Methodology (RSM) for bioethanol production
    Tamayo, Jeffrey P.
    Migo, Veronica P.
    [J]. ASIA LIFE SCIENCES, 2014, 23 (02): : 641 - 641
  • [5] Modeling and optimization of alkaline pretreatment conditions for the production of bioethanol from giant reed (Arundo donax L.) biomass using response surface methodology (RSM)
    Shafaei, Hamidreza
    Taghizadeh-Alisaraei, Ahmad
    Abbaszadeh-Mayvan, Ahmad
    Tatari, Aliasghar
    [J]. BIOMASS CONVERSION AND BIOREFINERY, 2023, 14 (18) : 21669 - 21684
  • [6] Optimization of biohydrogen production from microalgae by response surface methodology (RSM)
    Nazarpour, Mehrshad
    Taghizadeh-Alisaraei, Ahmad
    Asghari, Ali
    Abbaszadeh-Mayvan, Ahmad
    Tatari, Aliasghar
    [J]. ENERGY, 2022, 253
  • [7] Using Response Surface Methodology (RSM) to optimize 2G bioethanol production: A review
    Pereira, Lucas Matheus Soares
    Milan, Thaís Moré
    Tapia-Blácido, Delia Rita
    [J]. Biomass and Bioenergy, 2021, 151
  • [8] Using Response Surface Methodology (RSM) to optimize 2G bioethanol production: A review
    Soares Pereira, Lucas Matheus
    Milan, Thais More
    Tapia-Blacido, Delia Rita
    [J]. BIOMASS & BIOENERGY, 2021, 151
  • [9] Optimization of bioethanol production from Manihot glaziovii by response surface methodology
    Chyuan, Ong Hwai
    [J]. NEW BIOTECHNOLOGY, 2016, 33 : S90 - S90
  • [10] Optimization of Banana Peels Hydrolysis for the Production of Bioethanol: Response Surface Methodology
    Gebresemati, Mebrahtom
    Gebregergs, Alula
    [J]. INTERNATIONAL LETTERS OF NATURAL SCIENCES, 2015, 48 : 53 - 60