Bovine Serum Albumin

Serum albumin is a large protein present in cow serum protein (BSA, Bovine Serum Albumin) rich in essential amino acids and compounds with disulfide bridges and thiol groups. This protein passes into breast milk from the bloodstream by diffusion, has antioxidant capacity and protects fats from oxidation. Albumin has the ability to inhibit tumor factors and bind to fat, mobilize them in the body to perform other functions such as obtaining energy or forming membranes. It is also able to block the conversion of angiotensin I into angiotensin II (vasoconstrictor) which gives it antihypertensive action. In addition, it has the ability to reduce cholesterol absorption, complex heavy metals and is an opioid agonist (acts on opioid receptors and promotes analgesia). BSA is the most studied and produced protein worldwide in the last 80 years. This protein brings large dividends to the world economy with a very prominent and favorable annual growth at a cost of 100 USD per gram. This book brings new contributions to the science and industry of this biopolymer. The audience of this book is very wide from students, teachers and researchers (doctors, pharmacists, biochemists and industrialists of this sector). Therefore, this book has a great future and many readers to whom it is addressed.

BIOMEDICAL DATA MINING FOR INFORMATION RETRIEVAL This book not only emphasizes traditional computational techniques, but discusses data mining, biomedical image processing, information retrieval with broad coverage of basic scientific applications. Biomedical Data Mining for Information Retrieval comprehensively covers the topic of mining biomedical text, images and visual features towards information retrieval. Biomedical and health informatics is an emerging field of research at the intersection of information science, computer science, and healthcare and brings tremendous opportunities and challenges due to easily available and abundant biomedical data for further analysis. The aim of healthcare informatics is to ensure the high-quality, efficient healthcare, better treatment and quality of life by analyzing biomedical and healthcare data including patient’s data, electronic health records (EHRs) and lifestyle. Previously, it was a common requirement to have a domain expert to develop a model for biomedical or healthcare; however, recent advancements in representation learning algorithms allows us to automatically to develop the model. Biomedical image mining, a novel research area, due to the vast amount of available biomedical images, increasingly generates and stores digitally. These images are mainly in the form of computed tomography (CT), X-ray, nuclear medicine imaging (PET, SPECT), magnetic resonance imaging (MRI) and ultrasound. Patients’ biomedical images can be digitized using data mining techniques and may help in answering several important and critical questions relating to healthcare. Image mining in medicine can help to uncover new relationships between data and reveal new useful information that can be helpful for doctors in treating their patients. Audience Researchers in various fields including computer science, medical informatics, healthcare IOT, artificial intelligence, machine learning, image processing, clinical big data analytics.

The first of its kind, All About Albumin summarizes the chemistry, genetics, metabolism, clinical implications, and commercial aspects of albumin. It provides the most up-to-date sequences, structures, and compositions of many species, and includes more than 2000 references. Includes up-to-date sequences, structures, and compositions of many species Reviews the protein chemistry, genetic control, and metabolism of albumin Covers medical and cell culture applications in vivo and in vitro, with a section on handling albumin in the laboratory Presents the relationship of albumin to its superfamily with an updated scheme for their evolution First complete coverage of all aspects of serum albumin in one volume, with more than 2000 references

This book offers comprehensive information on the fundamentals and applications of ionic-liquid-based aqueous biphasic systems, which have predominantly (and successfully) been employed as alternative platforms for the extraction, separation and purification of diverse high-value products. The book consists of an initial introduction providing a brief overview, from fundamentals to applications, followed by nine chapters addressing the respective phase diagrams (interpretation and characterization) and remarkable examples of their applications. It also includes two final chapters focusing on recent developments in the search for more environmentally-benign and biocompatible ionic-liquid-based aqueous biphasic systems, and on the progress made to date concerning the recovery, recycling and reuse of the phase-forming components, the goal being the development of cost-effective and sustainable processes. The book offers an interesting and useful guide for a broad readership in the fields of green chemistry, biotechnology, chemical engineering, and biochemistry, among others. Mara G. Freire is a Coordinator Researcher at CICECO - Aveiro Institute of Materials, Chemistry Department, University of Aveiro, Portugal.