A5061618714- Biofuel production and bioconversion
- Enzyme Production and Characterization
- Plant Pathogens and Fungal Diseases
- Face and Expression Recognition
- Remote Sensing and Land Use
- Microbial Metabolism and Applications
- Microbial Metabolic Engineering and Bioproduction
- Essential Oils and Antimicrobial Activity
- Genomics and Phylogenetic Studies
- Image Retrieval and Classification Techniques
- Remote-Sensing Image Classification
- Industrial Vision Systems and Defect Detection
- Polysaccharides and Plant Cell Walls
- Studies on Chitinases and Chitosanases
- Mycorrhizal Fungi and Plant Interactions
- Microbial Natural Products and Biosynthesis
Jiangsu Normal University
2024
Northern Border University
2024
Al-Azhar University
2001-2024
Cellulase and pectinase are degrading cellulosic pectic substances that form plant cell walls and, thereby, they have a wide range of applications in the agro-industrial by-products recycling food industries. In current research, Mucor circinelloides M. hiemalis strains were tested for their ability to produce cellulase from tangerine peel by submerged fermentation. Experiments on five variables: temperature, pH, incubation period, inoculum size, substrate concentration, designed with...
Actinomycetes are an attractive source of lignocellulose-degrading enzymes. The search for actinomycetes producing extremozyme cellulase using cheap lignocellulosic waste remains a priority goal enzyme research. In this context, the extremophilic actinomycete NBRM9 showed promising cellulolytic activity in solid and liquid assays. This was identified as
Xylan is the primary hemicellulosic polymer found in lignocellulosic agricultural wastes and can be degraded by xylanase. In current research, Mucor circinelloides M. hiemalis were tested for their ability to produce xylanase from tangerine peel submerged fermentation. Experiments on five variables designed with Box-Behnken design response surface methodology. Analysis of variance was exercised, output demonstrated a mathematical equation as function factors, quixotic states biosynthesis...
Classification techniques of remotely sensed data are the most powerful tools to acquire land use and cover information in a cost effective means.When applied temporal set, it becomes extremely useful determine landuse/ Iandcover changes their trends.In this paper features (bands) selection algorithm has been developed optimal bands that can be used classification process .Also, scheme is using extracted from classified images, visual interpretation available maps.A Database designed proposed .