International Journal of Current Microbiology and Applied Sciences ISSN:2319-7692(Print), ISSN:2319-7706(Online) is a multidisciplinary peer-reviewed journal with reputable academics and experts as members of its Editorial Board. The Current Microbiology aims to publish all the latest and outstanding research articles. Review and letters in all areas of major importance to techniques of microbiology and applied research with publishes high quality of review and research articles on novel aspects of Microbiology including Environmental, Food, Agricultural, Medical, Pharmaceutical, Veterinary, Soil, Water and Biodeterioration.

The increasing demand for food products derived from animals worldwide has raised serious concerns about the hygiene and overall quality of animal food. In the animal food production sector, traditional techniques of monitoring, inspection and quality control are labor-intensive, time-consuming and subject to human error. In this perspective, Artificial intelligence (AI) has become a revolutionary technology that provides novel methods to improve the safety and quality of animal food products. This review provides an overview of the applications of AI in the animal food industry, focusing on its pivotal role in quality and safety of food. We delve into various aspects of AI implementation, including computer vision, biosensor, machine vision, ultrasonic sensing, Internet of things and electronic method. The review explores the application of AI in quality control, disease detection, feed optimization and supply chain management in the animal food industry. By utilising the potential of AI, the animal food industry can enhance food safety, improve product quality and meet the ever-increasing demands of a global consumer base concerned about the source and safety of their food. This review aims to throw light on the diverse AI applications within the animal food industry, highlighting the potential to revolutionize the sector's quality and safety standards while driving innovation and sustainability in an increasingly interconnected world.

A stable, simple, rapid, precise, accurate RP‐HPLC method for simultaneous analysis of diclofenac sodium and rabeprazole sodium was developed and validated as per ICH guidelines without need of any internal standard. Separation was carried out using C8 column with triethyl amine buffer (pH 5): acetonitrile (50:50 v/v) as mobile phase with flow rate 2 mL min^-1. The detection was carried out at 284 nm. The parameters studied were retention time, linearity and range, accuracy, precision, detection limit, quantitation limit and bench top stability. The proposed method can be used for simultaneous estimation of diclofenac sodium and rabeprazole sodium in bulk drugs and pharmaceutical dosage forms.

The seroprevalence study of peste des petits ruminants (PPR) in sheep and goats was carried out in 5 districts of Saurashtra region of Gujarat state. A total of 828 (prevaccinated) and 423 (postvaccinated) serum samples from sheep and goats were screened for PPR specific antibodies using PPR specific c-ELISA. Overall seroprevalence of PPR was found to be 53.86 (446/828) and 72.34 (306/423) % in pre- and post-vaccinated small ruminants, respectively. Overall pre-/post-vaccinated seroprevalance rates were highest in Bhavnagar district (83.89/96.30 %), followed by Surendranagar (73.61/77.78 %), Amreli (56.25/83.33 %), Jamnagar (32.22/43.33 %) and Rajkot (27.78/64.44 %) districts. Pre and post vaccination seropositivity was noted higher in goats (59.90/78.75 %) than in sheep (35.75/52.43 %). Males in both the species (goats and sheep) showed higher seroprevalence (60.11/89.01 %) as compared to their female counterparts (52.09/67.77 %). Higher prevaccinated seroprevalence was recorded among age group of 1 to 2 years (63.41 %), followed by below 1 year age group (53.99%) and above 2 years of age group (44.20%).