生物基产品制备关键过程及其生态产业链集成的研究进展——生物基产品过程工程的提出

生物质原料可以转化为能源、材料和化工产品,是国内外研究的热点. 目前生物基产品制备过程中存在原料组分利用和转化技术单一、缺乏系统技术集成等问题. 本工作从生物质的原料特点、转化过程和产品工程关键问题入手,综合多学科知识,提出了生物基产品过程工程这一理念. 从全新的面向原料、过程、产品的角度,建立生物质分层多级转化技术体系,并以无污染汽爆及其组分分离技术、节水节能固态纯种发酵技术、秸秆固相酶解-液体发酵乙醇耦合技术和汽爆秸秆膜循环酶解耦合发酵技术4个关键技术为平台,形成生物基产品生态产业新模式,为实现生物质资源高值化利用和生物基产品生态产业化提供研发思路和技术平台.     

ZIF-L/PDMS混合基质膜蒸气渗透耦合发酵强化乙醇生产效率的研究

蒸气渗透（VP）膜分离不存在膜污染风险,在生物乙醇生产中具有广阔的应用前景。将聚二甲基硅氧烷（PDMS）膜和以二维沸石咪唑骨架（ZIF-L）为填充基质制备的PDMS（ZIF-L/PDMS）混合基质膜,分别用于VP膜分离与菊粉水解液发酵制乙醇过程的耦合,分析了二者在耦合过程中的分离性能和发酵性能。探究了不同膜分离方式、不同类型膜及操作条件对膜分离性能的影响。实验结果表明,当料液浓度为5%（质量）、蒸气循环流量为1.5 L·min^-1时,ZIF-L/PDMS混合基质膜的VP性能高于渗透汽化（PV）,归一化总通量达到1148.78 g·m^-2·h^-1,分离因子高达19.14,显著提升了乙醇分离性能。ZIF-L/PDMS混合基质膜用于VP耦合发酵,实现了耦合过程的高渗透性和乙醇选择性,与文献报道相比,乙醇移除效果最优,乙醇产率和时空产率分别达到0.421 g·g^-1、3.07 g·L^-1·h^-1,两个指标明显高于单独发酵,极大地提高了乙醇生产效率。因此,ZIF-L/PDMS混合基质膜在原位分离发酵乙醇方面具有很大的应用潜力。     

有机/无机杂化渗透汽化优先透醇膜研究进展

渗透汽化优先透醇膜分离技术可有效解决燃料乙醇和丁醇生产中发酵产率较低的瓶颈问题,受到广泛关注。膜材料的选择与改性以及膜结构的构建是提高透醇性能的关键。有机/无机杂化膜可以实现有机和无机材料的优势互补,被认为是未来分离膜领域最重要的发展方向之一。本文扼要回顾了用于优先透醇渗透汽化分离的有机无机杂化材料,结合本文作者课题组的研究工作,重点阐述了杂化粒子的结构、粒径、界面相容性、纳微分散、负载量等因素对渗透汽化传递过程的作用机制,进一步对近年来发展的成膜新方法进行了总结。在此基础上,提出今后有机/无机杂化渗透汽化优先透醇膜研究的主要方向是发展新型纳米级、超疏水并与有机聚合物具有高度界面相容性的无机粒子,以及构建高负载量的纳微结构与超亲醇表面。     

渗透汽化在生物燃料乙醇制备中的研究进展

渗透汽化作为一种新型的膜分离技术应用于发酵法制备生物燃料乙醇,不但能减少产物对微生物的抑制作用,而且可以脱水制备高纯度燃料乙醇,因而具有显著的优势。本文对渗透汽化在发酵法制备燃料乙醇中所涉及的膜材料、耦合工艺、应用现状和经济评价进行了详细的综述,并对发展趋势作了展望。     

Development of real-time state estimators for reaction–separation processes: A continuous flash fermentation as a study case

The development of reliable on-line state estimators applicable to reaction–separation processes is addressed in this work. Artificial Neural Network-based software sensors (ANN-SS) are proposed to allow on-line measurement of key variables, with an estimation algorithm that uses secondary variables as inputs. A continuous laboratory-scale flash fermentation for bioethanol production is considered as a case study. The process consists of three interconnected units: fermentor, filter (tangential microfiltration for cell recycling) and vacuum flash vessel (for the continuous separation of ethanol from the broth). The concentrations of ethanol in the fermentor and of ethanol condensed from the flash are successfully monitored on-line using ANN-SS. The proposed model contributes to improve the understanding of the complex relationships between process variables in the reaction and separation units, which is of major importance to allow the operation of the ethanol production process near its optimum performance.     

PDMS/ceramic composite membrane for pervaporation separation of acetone–butanol–ethanol (ABE) aqueous solutions and its application in intensification of ABE fermentation process

Pervaporation (PV) has attracted increasing attention because of its potential application in bio-butanol recovery from fermentation process. In this work, PDMS/ceramic composite membrane was employed for PV separation of acetone–butanol–ethanol (ABE) aqueous solutions. The influence of coupling effect on the molecular transport during the PV process was systematically investigated. The separation performance and transport phenomena of ABE molecules were discussed based on the analysis and calculation of physicochemical properties such as solubility parameter, polarity parameter, interaction parameter, activity coefficient. The results suggested that the ABE separation factor was mainly determined by the intrinsic solubility parameter and driving force. Coupling effect in the ABE multicomponent system was closely related to the interaction parameters between components themselves and between component and membrane. Also, the PDMS membrane was integrated with ABE fermentation to construct an efficient intensification process. It was found that the rate matching of fermentation and in situ removal could improve the ABE productivity by 2 times.     

Learning control of fermentation process with an improved DHP algorithm☆

Control of the fed-batch ethanol fermentation processes to produce maximum product ethanol is one of the key issues in the bioreactor system. However, ethanol fermentation processes exhibit complex behavior and nonlinear dynamics with respect to the cel mass, substrate, feed-rate, etc. An improved dual heuristic program-ming algorithm based on the least squares temporal difference with gradient correction (LSTDC) algorithm (LSTDC-DHP) is proposed to solve the learning control problem of a fed-batch ethanol fermentation process. As a new algorithm of adaptive critic designs, LSTDC-DHP is used to realize online learning control of chemical dynamical plants, where LSTDC is commonly employed to approximate the value functions. Application of the LSTDC-DHP algorithm to ethanol fermentation process can realize efficient online learning control in continuous spaces. Simulation results demonstrate the effectiveness of LSTDC-DHP, and show that LSTDC-DHP can obtain the near-optimal feed rate trajectory faster than other-based algorithms.     

合成气生物发酵法制乙醇的研究进展

采用合成气生物发酵法制乙醇具有反应条件温和、产物选择性高、原料来源广泛、低碳可持续发展等优势,是一种具有前景的可再生能源新型生产工艺。文章综述了合成气发酵法制乙醇的微生物种类及对应的适宜操作条件,分析了合成气发酵法制乙醇的Wood-Ljungdahl代谢途径;总结了合成气的广泛来源;分析讨论了过程工艺参数如合成气组成及压力、pH、温度、培养基组分、气液传质对合成气发酵的影响;指出合成气发酵法制乙醇面临的底物传质性能差、乙醇收率低等关键问题,比较了典型反应器在传质方面的差异,归纳了传质强化方法;总结了合成气发酵法制乙醇的工业化进展, 并提出了未来的发展方向。     

合成气生物发酵法制乙醇的研究进展

采用合成气生物发酵法制乙醇具有反应条件温和、产物选择性高、原料来源广泛、低碳可持续发展等优势,是一种具有前景的可再生能源新型生产工艺。文章综述了合成气发酵法制乙醇的微生物种类及对应的适宜操作条件,分析了合成气发酵法制乙醇的Wood-Ljungdahl代谢途径;总结了合成气的广泛来源;分析讨论了过程工艺参数如合成气组成及压力、pH、温度、培养基组分、气液传质对合成气发酵的影响;指出合成气发酵法制乙醇面临的底物传质性能差、乙醇收率低等关键问题,比较了典型反应器在传质方面的差异,归纳了传质强化方法;总结了合成气发酵法制乙醇的工业化进展, 并提出了未来的发展方向。     

蒸汽渗透技术在燃料乙醇生产中的应用研究进展

蒸汽渗透作为一种新型膜分离技术,可有效解决生物燃料乙醇生产中发酵产物浓度低、能源消耗量大、污染环境等诸多瓶颈问题。与渗透蒸发相比,蒸汽渗透技术具有分离性能好、进料清洁、能量损耗低、操作弹性大等优点,在燃料乙醇生产领域具备更广阔的应用前景。本文在比较渗透蒸发和气体分离技术的基础上,简述了蒸汽渗透过程的机理和特点。介绍了优先透水膜和优先透醇膜两类应用于燃料乙醇生产不同阶段的蒸汽渗透膜和这两类膜材料当前的研究进展,重点阐述了有机/无机杂化膜在成膜方法、杂化材料选择等方面的最新成果。回顾了蒸汽渗透在乙醇脱水方面的工业应用成果,指出该技术在发酵原位分离乙醇和替代精馏工艺方面所具有的优势,探讨了与固态发酵技术相结合进行一次相变生产燃料乙醇工艺实现的可能性,并提出未来亟待研究和解决的问题,为蒸汽渗透技术在燃料乙醇生产领域大规模发展提供参考。     

生物乙醇原位分离技术的研究进展

生物乙醇是一种重要的可再生生物燃料,使用生物乙醇可大幅减少温室气体排放。为了建立更高效低能耗的生物乙醇回收工艺,原位分离（ISPR）技术应运而生。本文综述了近年来乙醇原位分离的研究进展,从原理及应用等进行多方面详细地介绍,包括气提、真空发酵、吸附、液-液萃取、渗透汽化、膜蒸馏等分离技术。针对分离性能、能耗成本等问题分析了不同分离技术耦合发酵过程的优势及不足,重点回顾了以渗透汽化为代表的膜分离技术,总结了渗透汽化膜材料的选择以及膜的制备方法,旨在提升乙醇分离膜性能优化乙醇分离工艺。为整合不同分离技术的特点及优势,聚焦多级耦合分离系统的开发对各级分离技术联用的性能及潜力进行剖析与评价,并在此基础上研判其发展前景。     

乙醇发酵原位分离产物耦合方法研究进展

乙醇发酵过程存在明显的产物抑制现象,严重制约了乙醇产率的提高。乙醇发酵与产物分离的耦合可有效解决这一难题,目前乙醇发酵耦合产物分离的方法主要有乙醇气提发酵、乙醇真空发酵、乙醇吸附发酵、乙醇萃取发酵、乙醇膜分离发酵等。作者主要概述了各种乙醇发酵耦合产物分离方法的研究进展,并对今后乙醇发酵耦合产物分离研究开发提出了展望。     

硅橡胶渗透汽化复合膜在丁醇发酵中的应用

丁醇发酵受产物丁醇的抑制,产率和产物浓度低,过程经济性差,为减轻丁醇的抑制,制备了聚二甲基硅氧烷/聚偏氟乙烯(PIMS/PVDF)复合膜用于丙酮-丁醇-乙醇-水体系有机成分的分离.以分离因子和渗透通量为评价指标,考察了料液温度、质量分数和pH值对复合膜渗透汽化分离性能的影响.结果表明:料液温度升高能提高膜的分离性能;料...     

Understanding the scale-up of fermentation processes from the viewpoint of the flow field in bioreactors and the physiological response of strains

The production capability of a fermentation process is predominately determined by individual strains, which ultimately affected ultimately by interactions between the scale-dependent flow field developed within bioreactors and the physiological response of these strains. Interpreting these complicated interactions is key for better understanding the scale-up of the fermentation process. We review these two aspects and address progress in strategies for scaling up fermentation processes. A perspective on how to incorporate the multiomics big data into the scale-up strategy is presented to improve the design and operation of industrial fermentation processes.     

Drastic improvement of bioethanol recovery using a pervaporation separation technique employing a silicone rubber‐coated silicalite membrane

A coupled fermentation/pervaporation process for reliable production of concentrated ethanol was studied using ethanol permselective silicalite membranes coated with two types of silicone rubber, KE‐45 and KE‐108, as a hydrophobic material. Ethanol recovery was greatly improved by using a membrane coated with KE‐45 silicone rubber. The recovered ethanol concentration in the permeate was 67% (w/w), and the amount of recovered ethanol from the broth was more than 10 times higher than that using a non‐coated membrane. Succinic acid and glycerol, by‐products created during fermentation, interfered with the pervaporation performance of the coated membrane when used to separate an ethanol/water solution. Copyright © 2003 Society of Chemical Industry     

A Review of Membrane Materials for Ethanol Recovery by Pervaporation

Due to an emerging scarcity of oil resources and an associated increase of oil prices, biofuels (e.g., ethanol) play an important role in the energy crisis. Fermentation is a common process for producing ethanol from renewable biomass. Pervaporation is an attractive technique for the recovery of ethanol from the fermentation systems. Separation membrane is the key element in the pervaporation separation equipments. In this article, the pervaporation performances of ethanol-permselective membranes presented in the recovery of ethanol from dilute ethanol aqueous solution are reviewed. An analytical overview on the challenges and opportunities, and the prospect of ethanol-permselective membranes by pervaporation is also discussed.     

乙醇浓醪发酵技术研究进展

乙醇浓醪发酵具有高细胞密度、高产物浓度和高生产速率等特点,是乙醇工业的发展目标和方向。采用乙醇浓醪发酵技术,具有节约工艺用水、提高设备利用率、降低能耗等优势,是提高乙醇发酵工业效益的重要途径。研究乙醇浓醪发酵具有十分重要的现实意义。本文综述了乙醇浓醪发酵技术研究进展,介绍了乙醇浓醪发酵定义、优势以及影响乙醇浓醪发酵的因素。指出降低发酵醪液黏度、筛选高耐性酿酒酵母、改变发酵工艺模式、添加适宜酶制剂以及营养物质是实现乙醇浓醪发酵技术的主要途径,其中筛选高耐性的酿酒酵母是实现乙醇浓醪发酵技术的关键。     

Processing of ethanol fermentation broths by Candida krusei to separate bioethanol by pervaporation using silicone rubber‐coated silicalite membranes

BACKGROUND: Pervaporation employing ethanol‐permselective silicalite membranes as an alternative to distillation is a promising approach for refining low‐concentration bioethanol solutions. However, to make the separation process practicable, it is extremely important to avoid the problems caused by the adsorption of succinate on the membrane during the separation process. In this work, the pervaporation of an ethanol fermentation broth without succinate was investigated, as well as the influence of several fermentation broth nutrient components. RESULTS: Candida krusei IA‐1 produces an extremely low level of succinate. The decrease in permeate ethanol concentration through a silicone rubber‐coated silicalite membrane during the separation of low‐succinate C. krusei IA‐1 fermentation broth was significantly improved when compared with that obtained using Saccharomyces cerevisiae broth. By treating the fermentation broth with activated carbon, bioethanol was concentrated as efficiently as with binary mixtures of ethanol/water. The total flux was improved upto 56% of that obtained from the separation of binary mixtures, compared with 43% before the addition of activated carbon. Nutrients such as peptone, yeast extract and corn steep liquor had a negative effect on pervaporation, but this response was distinct from that caused by succinate. CONCLUSION: For consistent separation of bioethanol from C. krusei IA‐1 fermentation broth by pervaporation, it is useful to treat the low nutrient broth with activated carbon. To further improve pervaporation performance, it will be necessary to suppress the accumulation of glycerol. Copyright © 2009 Society of Chemical Industry     

用膜集成技术分离大豆低聚糖

本文介绍了用膜集成技术提取大豆低聚糖的生产工艺,提出了工艺设计中应注意的若干问题。超滤作为后续膜过程的预处理设备,保证其稳妥运行是膜集成技术提取大豆低聚糖工艺的关键。     

Phase partition and KPI-related process monitoring for batch processes using a novel canonical correlation analysis strategy

Key performance indicators (KPI)-related process monitoring has been of great significance to ensure product quality and economic benefits for batch processes. Considering that different phases exhibit different characteristics, one of the key issues is how to partition the whole batch process into different phases and characterize them separately by multiple phase models. In order to model and monitor batch processes more accurately and efficiently, a novel canonical correlation analysis (CCA) strategy is proposed in this paper. The phase partition algorithm is designed based on the joint canonical variable matrix (JCVM). Different from previous methods, it considers the time sequence of operation phases and can distinguish the phase switches from dynamics anomalies. Using this algorithm, phases are separated in order from a KPI-related perspective, revealing high correlation among variables. After phase partition, a novel multi-phase local neighbourhood standardization CAA (MPLNSCCA) method focusing on KPI is set up for online monitoring, which could further address the misclassification problems. The advantages of the proposed method are illustrated by two case studies, a penicillin simulation platform and an industrial application of Escherichia coli fermentation, respectively.