Bioprocess

About: Bioprocess is a research topic. Over the lifetime, 2219 publications have been published within this topic receiving 50972 citations.

Fundamentals of Modern Bioprocessing

Abstract: Biological drug and vaccine manufacturing has quickly become one of the highest-value fields of bioprocess engineering, and many bioprocess engineers are now finding job opportunities that have traditionally gone to chemical engineers. Fundamentals of Modern Bioprocessing addresses this growing demand. Written by experts well-established in the field, this book connects the principles and applications of bioprocessing engineering to healthcare product manufacturing and expands on areas of opportunity for qualified bioprocess engineers and students. The book is divided into two sections: the first half centers on the engineering fundamentals of bioprocessing; while the second half serves as a handbook offering advice and practical applications. Focused on the fundamental principles at the core of this discipline, this work outlines every facet of design, component selection, and regulatory concerns. It discusses the purpose of bioprocessing (to produce products suitable for human use), describes the manufacturing technologies related to bioprocessing, and explores the rapid expansion of bioprocess engineering applications relevant to health care product manufacturing. It also considers the future of bioprocessing—the use of disposable components (which is the fastest growing area in the field of bioprocessing) to replace traditional stainless steel. In addition, this text: Discusses the many types of genetically modified organisms Outlines laboratory techniques Includes the most recent developments Serves as a reference and contains an extensive bibliography Emphasizes biological manufacturing using recombinant processing, which begins with creating a genetically modified organism using recombinant techniques Fundamentals of Modern Bioprocessing outlines both the principles and applications of bioprocessing engineering related to healthcare product manufacturing. It lays out the basic concepts, definitions, methods and applications of bioprocessing. A single volume comprehensive reference developed to meet the needs of students with a bioprocessing background; it can also be used as a source for professionals in the field.

Pigments from microalgae

Abstract: Microalgae (including cyanobacteria) are the simplest and the most efficient photosynthetic organisms, probably because they have very quick responses and adaptations to environmental stimuli that are not found in any other group of living beings. From phycobiliproteins to carotenoids and to chlorophylls, these organisms have a large range of chromatic compounds related to the photosynthetic metabolism. These microalgae pigments are being exploited for different applications in a variety of industries, from food dyes to health products. Although they appear to have great potential for biotechnological purposes, the use of these products still faces great challenges, like the high cost of production and the instability of the isolated compounds. However, several studies have provided promising prospects for the use of microalgae as a source of pigments by a sustainable bioprocess. The increased demand for natural pigments by consumers and consequently by industry has encouraged the creation of new patents and stimulated the market for these compounds, which has “bloomed” in recent years. Thus, this chapter will cover fundamental aspects of the industrial application of microalgae-based pigments and their economical relevance, the bioprocess optimization for the production of those pigments (e.g., phycocyanin, β-carotene, astaxanthin, and xanthophylls), and highlight the main challenges and future prospects.

Antitumour Activity of Grifola frondosa Exopolysaccharides Produced by Submerged Fermentation Using Sugar Cane and Soy Molasses as Carbon Sources

Abstract: Summary Grifola frondosa is an edible Basidiomycete and produces exopolysaccharides (EPS) known for their antitumour activity. The objectives of this study are to produce exopolysaccharides in submerged fermentation using alternative carbon sources (sugar cane and soy molasses), and to evaluate their anti-proliferative activity against tumour cells. Exopolysaccharides were extracted by ethanol and tested against mice tumour cells, then characterized by gas chromatography. Carbon sources represent the major cost of the bioprocess, so a search for new alternatives such as agro-industrial residues is important to establish the viability on an industrial scale. Moreover, the data about the kinetics of the EPS production allow studying the optimization of the process.

3rd International Conference on Bioreactor and Bioprocess Fluid Dynamics

Abstract: Bioremediation bioseparation bioreactor design (fermentation or biotransformation) interaction bewteen upstream and downstream processing process aspects of new bioscience process economics and design bioleaching sterilization and medi a preparation CFD and modelling biological aspects of water treatment fouling of equipment mixing and rheological problems inthe food industry

Machine Learning Methods Modeling Carbohydrate-Enriched Cyanobacteria Biomass Production in Wastewater Treatment Systems

Abstract: One-stage production of carbohydrate-enriched microalgae biomass in wastewater is a promising option to obtain biofuels. Understanding the interaction of water quality parameters such as nutrients, carbon, internal carbohydrates, and microbial composition in the culture is crucial for efficient operation and viable large-scale cultivation. Bioprocess models are an essential tool for studying the simultaneous effect of complex factors on carbohydrate accumulation, optimizing the process, and reducing operational costs. In this sense, we use a dataset obtained from an empirical model that analyzed the accumulation of carbohydrates in a single process (simultaneous growth and accumulation) from real wastewater. In this experiment, there were no ideal conditions (limiting nutrient conditions), but rather these limitations are guaranteed by the operating conditions (hydraulic retention times/nutrient or carbon loads). Thus, the model integrates 18 variables that are affected and not only carbohydrates. The effect of these variables directly influences the accumulation of carbohydrates. Therefore, this paper analyzes artificial intelligence (AI) algorithms to develop a model to forecast biomass production in wastewater treatment systems. Carbohydrates were modeled using five artificial intelligence methods: (1) Artificial Neural Networks (ANNs), (2) Convolutional Neural Networks (CNN), (3) Long Short-Term Memory Network (LSTMs), (4) K-Nearest Neighbors (kNN), and (5) Random Forest (RF)). The AI methods allow learning how several components interact and if their combinations work faster than building the physical experiments over the same period of time. After comparing the five learning models, the CNN-1D model obtained the best results with an MSE (Mean Squared Error) = 0.0028. This result shows that the model adequately approximates the system’s dynamics.