Surfactant Imprinting Hyperactivated Immobilized Lipase as Efficient Biocatalyst for Biodiesel Production from Waste Cooking Oil
Surfactant Imprinting Hyperactivated Immobilized Lipase as Efficient Biocatalyst for Biodiesel Production from Waste Cooking Oil
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表面活性剂印迹高活性固定化脂肪酶作为废食用油生产生物柴油的高效生物催化剂
DOI:
10.3390/catal9110914
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发表时间:
2019-11
期刊:
影响因子:
3.9
通讯作者:
Weiwei Zhang
中科院分区:
文献类型:
--
作者:
Huixia Yang;Weiwei Zhang
Enzymatic production of biodiesel from waste cooking oil (WCO) could contribute to resolving the problems of energy demand and environment pollutions.In the present work, Burkholderia cepacia lipase (BCL) was activated by surfactant imprinting, and subsequently immobilized in magnetic cross-linked enzyme aggregates (mCLEAs) with hydroxyapatite coated magnetic nanoparticles (HAP-coated MNPs). The maximum hyperactivation of BCL mCLEAs was observed in the pretreatment of BCL with 0.1 mM Triton X-100. The optimized Triton-activated BCL mCLEAs was used as a highly active and robust biocatalyst for biodiesel production from WCO, exhibiting significant increase in biodiesel yield and tolerance to methanol. The results indicated that surfactant imprinting integrating mCLEAs could fix BCL in their active (open) form, experiencing a boost in activity and allowing biodiesel production performed in solvent without further addition of water. A maximal biodiesel yield of 98% was achieved under optimized conditions with molar ratio of methanol-to-WCO 7:1 in one-time addition in hexane at 40 °C. Therefore, the present study displays a versatile method for lipase immobilization and shows great practical latency in renewable biodiesel production.
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DOI:
10.1016/j.ijbiomac.2019.08.246
发表时间:
2019-12
影响因子:
8.2
作者:
S. Kannan;M. Marudhamuthu
通讯作者:
S. Kannan;M. Marudhamuthu
DOI:
10.3390/molecules22122157
发表时间:
2017-12-07
期刊:
Molecules (Basel, Switzerland)
影响因子:
--
作者:
Zhang W;Yang H;Liu W;Wang N;Yu X
通讯作者:
Yu X
影响因子:
2.9
作者:
Barbe, Sophie;Lafaquiere, Vincent;Andre, Isabelle
通讯作者:
Andre, Isabelle
影响因子:
11.4
作者:
Dong, Tao;Zhao, Lin;Tan, Xin
通讯作者:
Tan, Xin
影响因子:
8.8
作者:
Xie, Wenlei;Zang, Xuezhen
通讯作者:
Zang, Xuezhen