Flow injection analysis and biosensors: applications for biotechnology and environmental control.

Our experience in industrial bioprocess monitoring and environmental control let us develop a concept for biosensor research which distinguishes itself from other, more popular, approaches. Biosensors must improve and/or simplify existing state-of-the-art analysis systems. Only the parallel development of biosensors and their complementary metrology leads to industrially sound solutions. The combination of flow injection analysis with immobilized enzymes in the form of enzyme columns is already used today for the solution of on-line analytical problems in bioprocesses and environmental control.     

The development and applications of thermal biosensors for bioprocess monitoring

Enzyme thermistors are biosensors that use thermal resistors to measure the heat change caused by an enzymatic reaction. They combine the selectivity of enzymes with the sensitivity of biosensors and allow continuous analysis in a flow-injection mode. They can be used to monitor fermentation systems, biocatalysis, enzyme-catalysed synthesis and clinical and food technology. This article gives an overview of the general principles of enzyme thermistors, the sampling process and the ongoing developments in the field of bioprocess monitoring.     

Progress in monitoring, modeling and control of bioprocesses during the last 20 years

The paper gives a review on the recent development of bioprocess engineering. It includes monitoring of product formation processes by flow injection analysis, various types of chromatographic and spectroscopic methods as well as by biosensors. The evaluation of mycelial morphology and physiology by digital image analysis is discussed also. It deals with advanced control of indirectly evaluated process variables by means of state estimation/observer, with the use of structured and hybrid models, expert systems and pattern recognition for process optimization and gives a short report on the state of the art of metabolic flux analysis and metabolic engineering.     

Horseradish Peroxidase Combined With Oxidase Enzymes a Valuable Bioanalytical Tool: Lactate Oxidase – A Case Study

Enzymatic biosensors have been extensively investigated for real‐time bioprocess monitoring and other online analysis. However, implementation of biosensors has been strongly hindered by their limited stability. This work reports a significant improvement of the stability of the immobilized oxidases by in situ reduction of the harmful H₂O₂. Thus, stabilized oxidases can serve as the basis for ethanol, glucose, and lactate sensors, with the ability to operate for long periods of time with virtually no change in activity. As an example, a lactate sensor, containing lactate oxidase aimed for bioprocess monitoring, has been described and characterized. Operational stabilities that allow up to 8 h continuous lactate conversion with virtually no activity loss have been achieved. The described system based on the in situ stabilization strategy is a promising new tool for the development of online analyses.     

Aspects Affecting Biosynthesis and Biotransformation of Secondary Metabolites in Plant Cell Cultures

Abstract

Biosensors are useful analytical devices that can be integrated with on-line process monitoring schemes. In this article, the principles and applications of these devices for bioprocess monitoring are considered. Several different types of biosensors are described, and the applications and limitations of flow injection analysis (FIA) for these applications are discussed. It is hoped that the background provided here can be useful to researchers in this area.     

Noble metal,oxide and chalcogenide-based nanomaterials from scalable phototrophic culture systems

Phototrophic cell or tissue cultures can produce nanostructured noble metals, oxides and chalcogenides at ambient temperatures and pressures in an aqueous environment and without the need for potentially toxic solvents or the generation of dangerous waste products. These “green” synthesized nanobiomaterials can be used to fabricate biosensors and bio-reporting tools, theranostic vehicles, medical imaging agents, as well as tissue engineering scaffolds and biomaterials. While successful at the lab and experimental scales, significant barriers still inhibit the development of higher capacity processes. While scalability issues in traditional algal bioprocess engineering are well known, such as the controlled delivery of photons and gas-exchange, the large-scale algal synthesis of nanomaterials introduces additional parameters to be understood, i.e., nanoparticle (NP) formation kinetics and mechanisms, biological transport of metal cations and the effect of environmental conditions on the final form of the NPs. Only after a clear understanding of the kinetics and mechanisms can the strain selection, photobioreactor type, medium pH and ionic strength, mean light intensity and other relevant parameters be specified for an optimal bioprocess. To this end, this mini-review will examine the current best practices and understanding of these phenomena to establish a path forward for this technology.     

Rapid monitoring of recombinant protein products: a comparison of current technologies

Specific measurement of recombinant protein titer in a complex environment during industrial bioprocessing has traditionally relied on labor-intensive and time-consuming immunoassays. In recent years, however, developments in analytical technology have resulted in improved methods for protein product monitoring during bioprocessing. The choice of product-monitoring technology for a particular bioprocess will depend on a variety of assay factors and instrument-specific factors. In this article, we have compiled an overview of the advantages and disadvantages of the most commonly used technologies used: electrochemiluminescence, optical biosensors, rapid chromatography and nephelometry. The advantages of each technology for measuring both small and large recombinant therapeutic proteins are compared with a conventional enzyme-linked immunosorbent assay (ELISA) technique.     

Universal label‐free in‐process quantification of influenza virus‐like particles

Virus‐like particles (VLPs) are becoming established as vaccines, in particular for influenza pandemics, increasing the interest in the development of VLPs manufacturing bioprocess. However, for complex VLPs, the analytical tools used for quantification are not yet able to keep up with the bioprocess progress. Currently, quantification for Influenza relies on traditional methods: hemagglutination assay or Single Radial Immunodiffusion. These analytical technologies are time‐consuming, cumbersome, and not supportive of efficient downstream process development and monitoring. Hereby we report a label‐free tool that uses Biolayer interferometry (BLI) technology applied on an Octet platform to quantify Influenza VLPs at all stages of bioprocess. Human (α2,6‐linked sialic acid) and avian (α2,3‐linked sialic acid) biotinylated receptors associated with streptavidin biosensors were used, to quantify hemagglutinin content in several mono‐ and multivalent Influenza VLPs. The applied method was able to quantify hemagglutinin from crude samples up to final bioprocessing VLP product. BLI technology confirmed its value as a high throughput analytical tool with high sensitivity and improved detection limits compared to traditional methods. This simple and fast method allowed for real‐time results, which are crucial for in‐line monitoring of downstream processing, improving process development, control and optimization.     

Chemometric modelling with two-dimensional fluorescence data for Claviceps purpurea bioprocess characterization

Modern bioprocess control requires fast data acquisition and in-time evaluation of bioprocess variables. On-line fluorescence spectroscopy and the application of chemometric methods accomplish these goals. In order to demonstrate how time-consuming off-line analysis methods can be replaced for bioprocess monitoring, fluorescence measurements were performed during different cultivations of the fungus Claviceps purpurea. To predict process variables like biomass, protein, and alkaloid concentrations, chemometric models were developed on the basis of the acquired fluorescence spectra. The results of these investigations are presented and the applicability of this approach for bioprocess monitoring is discussed.     

Chemoselective biosensors

New opportunities for biosensors are now appearing in clinical and genetic diagnostics, genomics, environmental protection, food processing and safety, drug discovery and bioprocess monitoring. Concerns about the cost, stability and selectivity of previous sensor technologies are being addressed by developing new recognition systems and their integration into transducers, micro- and nanofabricated devices, array technologies and novel magnetic, acoustic and optical transduction systems.     

Twenty years research in cholinesterase biosensors: from basic research to practical applications

Over the last decades, cholinesterase (ChE) biosensors have emerged as an ultra sensitive and rapid technique for toxicity analysis in environmental monitoring, food and quality control. These systems have the potential to complement or replace the classical analytical methods by simplifying or eliminating sample preparation protocols and making field testing easier and faster with significant decrease in costs per analysis. Over the years, engineering of more sensitive ChE enzymes, development of more reliable immobilization protocols and progress in the area of microelectronics could allow ChE biosensors to be competitive for field analysis and extend their applications to multianalyte screening, development of small, portable instrumentations for rapid toxicity testing, and detectors in chromatographic systems. In this paper, we will review the research efforts over the last 20 years in fabricating AChE biosensors and the recent trends and challenges encounter once the sensor is used outside research laboratory for in situ real sample applications. The review will discuss the generations of cholinesterase sensors with their advantages and limitations, the existing electrode configurations and fabrication techniques and their applications for toxicity monitoring. We will focus on low-cost electrochemical sensors and the approaches used for enzyme immobilization. Recent works for achieving high sensitivity and selectivity are also discussed.     

Applications of novel affinity cassette methods: use of peptide fusion handles for the purification of recombinant proteins.

In this article, recent progress related to the use of different types of polypeptide fusion handles or 'tags' for the purification of recombinant proteins are critically discussed. In addition, novel aspects of the molecular cassette concept are elaborated, together with areas of potential application of these fundamental principles in molecular recognition. As evident from this review, the use of these concepts provides a powerful strategy for the high throughput isolation and purification of recombinant proteins and their derived domains, generated from functional genomic or zeomic studies, as part of the bioprocess technology leading to their commercial development, and in the study of molecular recognition phenomena per se. In addition, similar concepts can be exploited for high sensitivity analysis and detection, for the characterisation of protein bait/prey interactions at the molecular level, and for the immobilisation and directed orientation of proteins for use as biocatalysts/biosensors.     

我国工业生物过程工程研究进展

工业生物技术的进步离不开工业生物过程工程研究的不断深入及发展,我国作为工业发酵大国在工业生物技术由实验室向产业化转化过程中面对诸多挑战,由此而逐渐发展起来的我国工业生物过程工程发展先后经历了多个阶段,伴随着不同阶段的发展,我国的工业生物技术水平得到不断的提升。本文重点回顾了近三、四十年来我国工业生物过程工程发展的历程,包括早期由化工过程研究引入的动力学模型化研究、基于过程控制的优化理论与方法的应用、基于过程在线监测技术发展起来的参数相关性分析方法、过程多尺度理论的建立、基于现代固态发酵的新型固态发酵罐的设计及优化技术发展等。通过对生物过程工程发展历程的回顾对先进工业生物过程发展面临的技术难题及由此引出的未来发展重点方向进行了探讨。     

工业生物过程智能控制原理和方法进展

工业生物过程是一个复杂的系统过程,对活体细胞代谢过程的认识是实现高效工业生物制造的基础。文中首先综述了工业发酵过程多尺度优化控制原理和实践,包括多尺度理论与装备、细胞宏观代谢在线检测传感技术以及生理代谢参数相关分析。在此基础上,对工业生物过程智能控制——感知细胞内生理代谢特性新型传感技术、大数据库建立和数据深度计算以及生物过程智能决策进行了综述和展望。     

Assessment of near-infrared spectral information for rapid monitoring of bioprocess quality.

Access to real-time process information is desirable for consistent and efficient operation of bioprocesses. Near-infrared spectroscopy (NIRS) is known to have potential for providing real-time information on the quantitative levels of important bioprocess variables. However, given the fact that a typical NIR spectrum encompasses information regarding almost all the constituents of the sample matrix, there are few case studies that have investigated the spectral details for applications in bioprocess quality assessment or qualitative bioprocess monitoring. Such information would be invaluable in providing operator-level assistance on the progress of a bioprocess in industrial-scale productions. We investigated this aspect and report the results of our investigation. Near-infrared spectral information derived from scanning unprocessed culture fluid (broth) samples from a complex antibiotic production process was assessed for a data set that incorporated bioprocess variations. Principal component analysis was applied to the spectral data and the loadings and scores of the principal components studied. Changes in the spectral information that corresponded to variations in the bioprocess could be deciphered. Despite the complexity of the matrix, near-infrared spectra of the culture broth are shown to have valuable information that can be deconvoluted with the help of factor analysis techniques such as principal component analysis (PCA). Although complex to interpret, the loadings and score plots are shown to offer potential in process diagnosis that could be of value in the rapid assessment of process quality, and in data assessment prior to quantitative model development.     

Machine learning in bioprocess development: from promise to practice

Fostered by novel analytical techniques, digitalization, and automation, modern bioprocess development provides large amounts of heterogeneous experimental data, containing valuable process information. In this context, data-driven methods like machine learning (ML) approaches have great potential to rationally explore large design spaces while exploiting experimental facilities most efficiently. Herein we demonstrate how ML methods have been applied so far in bioprocess development, especially in strain engineering and selection, bioprocess optimization, scale-up, monitoring, and control of bioprocesses. For each topic, we will highlight successful application cases, current challenges, and point out domains that can potentially benefit from technology transfer and further progress in the field of ML.     

Rapid titer assay of adenovirus containing green fluorescent protein gene using flow cytometric analysis

The plaque assay has been widely used for titration of adenovirus (AdV). However, it takes usually 2-3 weeks, so this slow assay often impedes bioprocess development of large-scale AdV production. In this study, we developed a rapid AdV titration assay that can be done within a day. Further, unlike the plaque assay, this assay does not require a laborious serial dilution of samples. This rapid assay can be achieved by using green fluorescent protein (GFP) as a marker gene and flow cytometric analysis. It yields a good correlation between infectious titer of AdV harboring GFP and flow cytometric parameters such as average green fluorescence intensity or % of infected cells. Taken together, this rapid assay will facilitate bioprocess development for efficient large-scale AdV production.     

Advances in Cell‐Free Biosensors: Principle,Mechanism, and Applications

Synthetic biology has promoted the development of biosensors as tools for detecting trace substances. In the past, biosensors based on synthetic biology have been designed on living cells, but the development of cell biosensors has been greatly limited by defects such as genetically modified organism problem and the obstruction of cell membrane. However, the advent of cell‐free synthetic biology addresses these limitations. Biosensors based on the cell‐free protein synthesis system have the advantages of higher safety, higher sensitivity, and faster response time over cell biosensors, which make cell‐free biosensors have a broader application prospect. This review summarizes the workflow of various cell‐free biosensors, including the identification of analytes and signal output. The detection range of cell‐free biosensors is greatly enlarged by different recognition mechanisms and output methods. In addition, the review also discusses the applications of cell‐free biosensors in environmental monitoring and health diagnosis, as well as existing deficiencies and aspects that should be improved. In the future, through continuous improvement and optimization, the potential of cell‐free biosensors will be stimulated, and their application fields will be expanded.     

Bioprocess engineering: now and beyond 2000

Abstract: Bioprocess engineering may be defined as the translation of life-science discoveries into practical products, processes, or systems capable of serving the needs of society. It is a critical link from discovery to commercialization. Current bioprocess engineering is primarily focused on biopharmaceutical products of high dollar value per gram such as erythropoietin or growth hormones. However, other products of current interest include ethanol, amino acids, organic acids, antibiotics, and specialty chemicals. Current challenges for increased use of bioprocesses for producing bulk and semi-bulk chemicals include both technical and infrastructural barriers. Technical barriers are easy to identify and at times can be overcome by engineering improvements or changes brought about radical developments in science (e.g. recombinant DNA). Infrastructural barriers, such as raw-material substitutions or educational limitations are more difficult to define and change. Recently the National Academy of Sciences examined barriers to bioprocess engineering and issued a report entitled: "Putting Biotechnology to Work: Bioprocess Engineering". A key recommendation was the establishment of a coordinated long-range plan of research, development, training and education in bioprocess engineering involving participation by industry, academe and the federal government. The report was the first national analysis devoted entirely to bioprocess engineering and covered new topics such as space bioprocess engineering. Other topics covered by the author include the current state of the US chemical industry and future directions in three promising areas of bioprocess engineering environmental bioprocess engineering, marine bioprocess engineering and microsystem bioprocess engineering.     

Construction of a reagentless glucose biosensor using molecular exciton luminescence

Fluorescent protein biosensors, which exhibit a significant change in fluorescence based on the physical interaction between protein and ligand, may prove to be effective tools to measure a variety of analytes. In particular, real-time monitoring of glucose levels has potential applications in bioprocess monitoring and in minimizing health complications caused by diabetes. In this work, site-directed mutagenesis of the Escherichia coli glucose/galactose binding protein (GGBP) was used to engineer double-cysteine mutations that allowed selective covalent attachment of thiol-reactive dyes. Because GGBP undergoes a large conformational change on the addition of glucose, rational placement of these sites allowed glucose-dependent spatial realignment of the two fluorophores, which was monitored as a change in fluorescence intensity and extinction coefficients. Using targeted mutagenesis of the GGBP binding pocket, glucose biosensors were created to measure concentrations spanning five orders of magnitude (0.04-12,000 microM). The glucose biosensor retained its function in complex solutions that contained realistic concentrations of protein and potential interfering agents found in blood serum. In addition to the development of a fluorescent protein sensor for glucose, this work helps to expand the spectroscopic tools used for the detection of conformational movements within a single polypeptide chain.