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用于预期生物乙醇转化的微藻酶解机制及动力学模型

Mechanism and kinetic model of microalgal enzymatic hydrolysis for prospective bioethanol conversion.

作者信息

Putra Meilana Dharma, Hidayat Muslikhin, Kasiamdari Rina Sri, Mutamima Anisa, Iwamoto Koji, Darmawan Muhammad Arif, Gozan Misri

机构信息

Department of Chemical Engineering, Riau University Pekanbaru 28293 Indonesia.

Department of Chemical Engineering, Lambung Mangkurat University Banjarbaru 70713 Indonesia

出版信息

RSC Adv. 2023 Jul 17;13(31):21403-21413. doi: 10.1039/d3ra01556d. eCollection 2023 Jul 12.

DOI:10.1039/d3ra01556d
PMID:37465575
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10350658/
Abstract

is a potential microalgae that is in consideration for producing bioethanol owing to its large content of carbohydrates. The glucose production from through an enzymatic process with cellulase and xylanase (pretreatment process) and α-amylase and glucoamylase (saccharification process) was studied. The mechanism of the enzymatic process was developed and the kinetic models were then evaluated. For the pretreatment process, enzymes with 30% concentration reacted at 30 °C for 40 min resulted in 35.9% glucose yield. For the saccharification process, the highest glucose yield of 90.03% was obtained using simultaneous α-amylase (0.0006%) and glucoamylase (0.01%) enzymes at 55 °C and for 40 min. The kinetic models fitted well with the experimental data. The model also revealed that the saccharification process performed better than the pretreatment process with a higher kinetic constant and lower activation energy. The proposed kinetic model plays an important role in implementing processes at a larger scale.

摘要

是一种有潜力的微藻,由于其碳水化合物含量高,正在考虑用于生产生物乙醇。研究了通过纤维素酶和木聚糖酶的酶促过程(预处理过程)以及α-淀粉酶和糖化酶(糖化过程)从 生产葡萄糖的情况。建立了酶促过程的机制,然后评估了动力学模型。对于预处理过程,浓度为30%的酶在30℃反应40分钟,葡萄糖产率为35.9%。对于糖化过程,在55℃使用同时添加α-淀粉酶(0.0006%)和糖化酶(0.01%)的酶,反应40分钟,获得了90.03%的最高葡萄糖产率。动力学模型与实验数据拟合良好。该模型还表明,糖化过程比预处理过程表现更好,具有更高的动力学常数和更低的活化能。所提出的动力学模型在大规模实施过程中起着重要作用。 (原文此处有一处“从 通过”存在表述不清晰的问题,以上译文已照原文翻译)

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f2e0/10350658/2adbd94c51c2/d3ra01556d-f7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f2e0/10350658/ba0f3935b7dc/d3ra01556d-f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f2e0/10350658/9bb33bd4aa12/d3ra01556d-f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f2e0/10350658/964aaa13e29a/d3ra01556d-f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f2e0/10350658/023c6146e1cc/d3ra01556d-f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f2e0/10350658/84feb932c395/d3ra01556d-f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f2e0/10350658/dbf75a165948/d3ra01556d-f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f2e0/10350658/2adbd94c51c2/d3ra01556d-f7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f2e0/10350658/ba0f3935b7dc/d3ra01556d-f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f2e0/10350658/9bb33bd4aa12/d3ra01556d-f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f2e0/10350658/964aaa13e29a/d3ra01556d-f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f2e0/10350658/023c6146e1cc/d3ra01556d-f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f2e0/10350658/84feb932c395/d3ra01556d-f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f2e0/10350658/dbf75a165948/d3ra01556d-f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f2e0/10350658/2adbd94c51c2/d3ra01556d-f7.jpg

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