A low-cost, easy-to-use e-nose is developed to detect the spoilage of ground meat. E-nose consists hardware, software and data processing components. The main elements hardware component are gas sensors sensitive hydrogen sulfide (H2S) ammonia (NH3). Using MIT App Inventor 2 an Android application run component, retrieve data, pre-process send it Google Sheets. Classification model developed, m...

In this study, five different experiments were conducted over a period of 170 days to produce biogas by using a variety of mixtures of organic materials and landfill leachate. The aim of this study is to develop a more robust two-stage biogas plant that can accept a wide spectrum of waste products and continue to function without any malfunction. The facility has 5m3 total digester volume, with...

A wide variety of microorganisms can contaminate food products. Due to low pH, fruits are mostly spoiled by fungi. The growth fungi on depends the characteristics and environmental factors. In this context, predictive microbiology is one option for studying designing strategies control microbial foods. Thus, aim work was develop a model predict spoilage acid contaminated Byssochlamys fulva spor...

A new methodology is proposed to describe the evolution of main chemical compounds grape must during wine alcoholic fermentation using Attenuated Total Reflectance Mid Infrared (ATR-MIR) spectra in combination with Multivariate Curve Resolution Alternating Least-Squares (MCR-ALS). In addition, we have developed a process control strategy detect differences between fermentations running under No...