Microbial metabolites have significant impacts on our lives from providing valuable compounds for nutrition to agriculture and healthcare. Ever-growing demand for these natural compounds has led to the need for smart and efficient production techniques. Ultrasound is a multi-applicable technology widely exploited in a range of industries such as chemical, medical, biotechnological, pharmaceutical, and food processes. Depending on the type of ultrasound employed, it can be used to either monitor or drive fermentation processes. Ultrasonication can improve bioproduct productivity via intensifying the performance of living organisms. Controlled ultrasonication can influence the metabolites’ biosynthesis efficiency and growth rates by improvement of cell permeability as well as mass transfer and nutrient uptake rates through cell membranes. This review contains a summarized description about suitable microbial metabolites and the applications of ultrasound technique for enhancement of the production of these metabolites as well as the associated downstream processing.

To determine the prevalence rate of Listeria species in bovine, ovine, caprine, camel and water buffalo milk in Iran. From September 2010 to December 2011 a total of 260 bulk milk samples including 85 bovine, 37 camel, 34 water buffalo, 56 ovine and 48 caprine bulk milk samples were collected from commercial dairy herds, in Fars and Khuzestan provinces, Iran and were evaluated for the presence of Listeria species using cultural method and the PCR assay. Using cultural method, 19 samples (7.3%) were positive for Listeria spp. The highest prevalence of Listeria was found in raw water buffalo milk (11.8%), followed by raw bovine milk (10.6%), raw ovine milk (7.1%), and raw caprine milk (4.2%) samples. All 37 camel milk samples from 20 camel breeding farms were negative for Listeria spp. The overall prevalence of Listeria was 7.3%, in which Listeria innocua was the most recovered species (4.2%); the remaining isolates were Listeria monocytogenes (1.9%), Listeria ivanovii (0.08%) and Listeria seeligari (0.04%). The PCR assay could identify 8 Listeria-contaminated milk samples that were negative using the cultural method. The results presented in this study indicate the potential risk of infection with Listeria in people consuming raw and unpasteurized milk.