Source Jouranl of CSCD
Source Journal of Chinese Scientific and Technical Papers
Included as T2 Level in the High-Quality Science and Technology Journals in the Field of Environmental Science
Core Journal of RCCSE
Included in the CAS Content Collection
Included in the JST China
Indexed in World Journal Clout Index (WJCI) Report
Volume 40 Issue 4
Apr.  2022
Turn off MathJax
Article Contents
GUO Zirui, CHEN Zhiqiang, CHI Riguang, SHEN Aihua. PREDICTION OF POLYHYDROXYALKANOATE (PHA) PRODUCTION UTILIZING FOOD WASTE BASED ON GA-BP NEURAL NETWORK METHOD[J]. ENVIRONMENTAL ENGINEERING , 2022, 40(4): 166-173. doi: 10.13205/j.hjgc.202204024
Citation: GUO Zirui, CHEN Zhiqiang, CHI Riguang, SHEN Aihua. PREDICTION OF POLYHYDROXYALKANOATE (PHA) PRODUCTION UTILIZING FOOD WASTE BASED ON GA-BP NEURAL NETWORK METHOD[J]. ENVIRONMENTAL ENGINEERING , 2022, 40(4): 166-173. doi: 10.13205/j.hjgc.202204024

PREDICTION OF POLYHYDROXYALKANOATE (PHA) PRODUCTION UTILIZING FOOD WASTE BASED ON GA-BP NEURAL NETWORK METHOD

doi: 10.13205/j.hjgc.202204024
  • Received Date: 2021-08-04
    Available Online: 2022-07-06
  • To evaluate the activated sludge PHA synthesis yield prediction under the condition of mixed carbon sources, genetic algorithms were proposed to optimize the weights and thresholds of the BP artificial neural network, and the research established the prediction model based on the GA-BP network. Food waste fermentation liquid was applied as the substrate and activated sludge was used to synthesize PHA under the ADD mode. Based on experimental data, the comparison between the measured data and the model predictions was carried out, to verify the accuracy of the network prediction model and the prediction of the long-term PHA synthesis ability. Results showed that the GA-BP network model improved based on the genetic algorithm had high prediction accuracy than the traditional BP neural network model, and the model explored a feasible method to evaluate the long-term variation of the maximum PHA production yield in mixed microbial cultures and determined the reasonable enrichment time.
  • loading
  • [1]
    徐彦芹,杨锡智,罗若诗,等.合成生物学在生物基塑料制造中的应用[J].化工学报, 2020, 71(10):4520-4531.
    [2]
    季业,温沁雪,郝亚茹,等.盐度对模拟餐厨垃圾发酵液产聚羟基脂肪酸酯工艺的影响[J].环境工程学报, 2020, 14(1):236-243.
    [3]
    郝亚茹.氯化钠对混合菌群利用餐厨垃圾产酸液合成PHA的影响研究[D].哈尔滨:哈尔滨工业大学, 2017.
    [4]
    王攀,邱银权,陈锡腾,等.利用餐厨垃圾水解酸化液合成PHA——耐盐菌的筛选及其产PHA特性[J].环境工程, 2018, 36(4):78-82

    ,116.
    [5]
    WANG K, ZHANG R H. Production of polyhydroxyalkanoates (PHA) by haloferax mediterranei from food waste derived nutrients for biodegradable plastic applications[J]. Journal of Microbiology and Biotechnology, 2021,31(2):338-347.
    [6]
    李鑫鑫,郑丹,杨建喜,等.基于GA-BP神经网络的施工区域水质预测及预警模型研究[J].重庆交通大学学报(自然科学版), 2020, 39(12):106-110.
    [7]
    胡程鹏,薛涛.基于遗传算法的Kubernetes资源调度算法[J].计算机系统应用, 2021, 30(9):152-160.
    [8]
    王佳君,陆洪宇,陈志强,等.接种量对餐厨垃圾中温厌氧产甲烷潜能的影响[J].环境科学学报, 2016,

    已录用.
    [9]
    国家环境保护总局.水和废水监测分析方法[M]. 4版.北京:中国环境科学出版社, 2002.
    [10]
    WEN Q X, CHEN Z Q, WANG C Y, et al. Bulking sludge for PHA production:energy saving and comparative storage capacity with well-settled sludge[J]. Journal of Environmental Sciences, 2012, 24(10):1744-1752.
    [11]
    SUN W, HUANG C C. A carbon price prediction model based on secondary decomposition algorithm and optimized back propagation neural network[J]. Journal of Cleaner Production, 2020, 243:118671.
    [12]
    CHEN Z Q, GUO Z R, WEN Q X, et al. A new method for polyhydroxyalkanoate (PHA) accumulating bacteria selection under physical selective pressure[J]. International Journal of Biological Macromolecules, 2015, 72:1329-1334.
    [13]
    郭子瑞.基于动态间歇排水瞬时补料的活性污泥合成PHA新工艺研究[J].哈尔滨工业大学, 2016.
    [14]
    GUO Z R, CHEN Z Q, WEN Q X, et al. Strategy to reduce the acclimation period for enrichment of PHA accumulating cultures[J]. Desalination and Water Treatment, 2016,57:29286-29294.
    [15]
    SERAFIM LEMOS, OLIVEIRA REIS. Optimization of polyhydroxybutyrate production by mixed cultures submitted to aerobic dynamic feeding conditions[J]. Biotechnology and Bioengineering, 2004, 87(2):145-160.
    [16]
    蔡萌萌.剩余活性污泥中的微生物利用实际废液合成聚羟基烷酸酯[D].哈尔滨:哈尔滨工业大学, 2009.
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Article Metrics

    Article views (194) PDF downloads(2) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return