This is a review of recent advances on the use of DNA microarray for diagnosing foodborne pathogens. Rapid detection and characterization of foodborne pathogens is critical for food safety. Many relevant technologies have been intensively developed to date. DNA microarray technology offers a new way to food safety involving pathogen detection and characterization. DNA microarray can be used for detection and characterization of pathogens by analyzing hybridization patterns between capture probes and nucleic acids isolated from food samples or bacteria. It allows more rapid, accurate, and...

This book will review old and new methods to study emulsion stability and structure. Examples of emulsion-based foods include ice cream, yoghurt, and mayonnaise. The physicochemical properties of emulsions play an important role in food systems, as they directly contribute to the texture, sensory and nutritional properties of foods. One of the main properties is stability, which refers to the ability of an emulsion to resist physical changes over time. The development of an effective strategy to prevent undesirable changes in the properties of a particular food emulsion depends on the...

Vibrational spectroscopy techniques, which have traditionally been used to provide non-destructive, rapid, and relevant information on microbial systematics, are useful for classification and identification. In conjunction with advanced chemometrics, infrared spectroscopy enables the biochemical signatures from microbiological structures to be extracted and analysed. In addition, a number of recent studies have shown that Fourier Transform Infrared (FT-IR) spectroscopy can help to understand the molecular basis of events, such as the adaptive tolerance responses expressed by bacteria when...

Summarizes the chemical safety issues concerning meat and poultry and discusses the international legislation on the tools available for their control. This title reviews the analytical controls and instrumentation available for the control of residues of growth promoters, antibiotics, and other environmental substances in raw meat and poultry.

Many statistical innovations are linked to applications in food science. For example, the student t-test (a statistical method) was developed to monitor the quality of stout at the Guinness Brewery and multivariate statistical methods are applied widely in the spectroscopic analysis of foods. Nevertheless, statistical methods are most often associated with engineering, mathematics, and the medical sciences, and are rarely thought to be driven by food science. Consequently, there is a dearth of statistical methods aimed specifically at food science, forcing researchers to utilize methods...

It is generally assumed that microorganisms synthesize, release, detect and respond to small signaling hormone-like molecules. These molecules are used for a process termed "quorum sensing" (QS), a phenomenon that enables bacteria to sense when the minimal number of cells, or "quorum," is achieved for a concerted response to be initiated. Words such as "language" and "behavior" are frequently used to depict QS in the literature. More simply put, language and cross-talk between bacteria, and between bacteria and animal or plant hosts, determines the behavior (e.g., beneficial or pathogenic...

Predictive microbiology is a recent area within food microbiology, which studies the responses of microorganisms in foods to environmental factors (e.g., temperature, pH) through mathematical functions. These functions enable scientists to predict the behavior of pathogens and spoilage microorganisms under different combinations of factors. The main goal of predictive models in food science is to assure both food safety and food quality. Predictive models in foods have developed significantly in the last 20 years due to the emergence of powerful computational resources and sophisticated...