Optimization of the proportions of four wastewaters in a blend for the cultivation of microalgae using a mixture design

被引:28
|
作者
Moreno-Garcia, L. [1 ]
Gariepy, Y. [1 ]
Bourdeau, N. [2 ]
Barnabe, S. [2 ]
Raghavan, G. S. V. [1 ]
机构
[1] McGill Univ, Fac Agr & Environm Sci, Bioresource Engn Dept, 21111 Chemin Lakeshore, Montreal, PQ H9X 3V9, Canada
[2] Univ Quebec Trois Rivieres, Acad Sci & Engn, Dept Chem Biochem & Phys, 3351 Blvd Forges, Trois Rivieres, PQ G9A 5H7, Canada
关键词
Microalgae; Wastewaters; Mixture design; Leachate; Ammonia; Digestate; Organic carbon; WASTE-WATER; ANAEROBIC-DIGESTION; BACTERIA CONSORTIUM; CHLORELLA-VULGARIS; BIOMASS PRODUCTION; LANDFILL LEACHATE; LIPID PRODUCTION; TOXICITY; REMOVAL; ALGAE;
D O I
10.1016/j.biortech.2019.03.067
中图分类号
S2 [农业工程];
学科分类号
0828 ;
摘要
A 2nd degree mixture design was used to determine the optimal blend prepared from four wastewater streams to produce microalgae-based biomass. The streams consisted of a liquid digestate from an anaerobic digestion process, a landfill leachate, a septic-system sludge treatment plant liquid, and a wastewater treatment plant effluent. The mixture regression analysis indicated that blends with higher proportions of treated effluent and digestate improved cells growth, while the use of leachate was detrimental to the growth. The global solution of the mixture optimization predicted a maximum value of biomass productivity of 22.76 mg L-1 d(-1), in a blend consisting of 19% treated effluent, 21% digestate, and 60% water. Proportions of leachate higher than 13.33% were detrimental to the growth. The concentration of ammonia-N in the blends ranged from 0.39 to 150 mg L-1 d(-1), and its toxicity effect on the cells diminished with increasing amounts of organic carbon in the cultivation medium.
引用
收藏
页码:168 / 173
页数:6
相关论文
共 50 条
  • [1] Sweetener Blend Optimization by Using Mixture Design Methodology and the Electronic Tongue
    Waldrop, Megan E.
    Ross, Carolyn F.
    JOURNAL OF FOOD SCIENCE, 2014, 79 (09) : S1782 - S1794
  • [2] Optimization of mixture proportions by statistical experimental design using response surface method - A review
    Li, Zhiping
    Lu, Dagang
    Gao, Xiaojian
    JOURNAL OF BUILDING ENGINEERING, 2021, 36
  • [3] Microalgae cultivation for bioenergy production using wastewaters from a municipal WWTP as nutritional sources
    Cho, Sunja
    Lee, Nakyeong
    Park, Seonghwan
    Yu, Jaecheul
    Thanh Thao Luong
    Oh, You-Kwan
    Lee, Taeho
    BIORESOURCE TECHNOLOGY, 2013, 131 : 515 - 520
  • [4] Optimization of microalgae cultivation in food industry wastewater using microplates
    Anagnostopoulou, Chrysa
    Papachristou, Ioannis
    Kontogiannopoulos, Konstantinos N.
    Mourtzinos, Ioannis
    Kougias, Panagiotis G.
    SUSTAINABLE CHEMISTRY AND PHARMACY, 2024, 39
  • [5] Optimization of Chlorella vulgaris cultivation grown in waste molasses syrup using mixture design
    Mohammadi, Fahimeh Sadat
    Arabian, Daryush
    JOURNAL OF THE AMERICAN OIL CHEMISTS SOCIETY, 2023, 100 (01) : 45 - 56
  • [6] An integrated approach for microalgae cultivation using raw and anaerobic digested wastewaters from food processing industry
    Gupta, Suvidha
    Pawar, Sanjay B.
    BIORESOURCE TECHNOLOGY, 2018, 269 : 571 - 576
  • [7] Optimization of Fruit Punch Using Mixture Design
    Kumar, S. Bharath
    Ravi, R.
    Saraswathi, G.
    JOURNAL OF FOOD SCIENCE, 2010, 75 (01) : S1 - S7
  • [8] Optimization of harvest time in microalgae cultivation using an image processing algorithm for color restoration
    Kohno, Akihiro
    Komatsu, Takeshi
    Oka, Soichi
    Fukuda, Hiroaki
    Yasui, Hidehiko
    Makino, Hajime
    NTT Technical Review, 2017, 15 (11):
  • [9] Optimization of Surfactant Mixture Composition for Cleansing Using Mixture Experiment Design
    Song, Maria
    Jin, Byung Suk
    APPLIED CHEMISTRY FOR ENGINEERING, 2021, 32 (05): : 574 - 580
  • [10] Multi-objective optimization of concrete mixture proportions using machine learning and metaheuristic algorithms
    Zhang, Junfei
    Huang, Yimiao
    Wang, Yuhang
    Ma, Guowei
    CONSTRUCTION AND BUILDING MATERIALS, 2020, 253