Frontiers In The Nutrition Sciences

This series of individually authored chapters examines the nature and extent of scientific advances in the nutrition sciences and describes both future opportunities in the field and barriers to progress. Despite concern about declining attention to nutrition in universities and medical schools, the authors offer a bright and challenging future in nutrition research and training that should generate enthusiasm among young researchers and teachers for this indispensable component of biology.

This text provides a review of the roles of specific nutrients in maintaining the immune response and host protection against infection. It also considers the influence of various factors, such as exercise and ageing, on the interaction between nutrition and immune function.

Probiotic and Prebiotics in Foods: Challenges, Innovations, and Advances reviews recent advances, innovations, and challenges in probiotics/prebiotics in food and beverages. The book presents up-to-date, novel and extensive information regarding recent research and applications in probiotics and prebiotics in food. Sections address probiotics, prebiotics, paraprobiotics and postbiotics, probiotics, prebiotics and bucal health, probiotics, prebiotics and obesity, probiotics, prebiotics and sleep quality, in vitro and in vivo assays for selection of probiotics, probiotics and mycotoxins, edible films added to probiotic and prebiotics, predictive microbiology applied to development of probiotic foods, non-bovine milk products as probiotic and prebiotic foods, emerging technologies, and much more. Written for food scientists, nutritionists, health professionals, food product developers, microbiologists, those working in food safety, and graduate students and researchers working in academia, this book is a welcomed resource on the topics discussed. Includes coverage of both dairy and non-dairy probiotics, prebiotics and symbiotic food products Discusses the efficacy of food substrate in probiotic and prebiotic delivery Presents predictive microbiology models