الفهرس 
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Abstract
Four types of agricultural wastes in ordering Soya bean No. 1, Vicia faba No. 2, Trigonella foneum-graecum No. 3 and Arachis hyppogeneae No. 4 were used in this work. The present work aimed to obtain the most active fungal and bacterial isolates having proteolytic activity to degrade the previous agricultural proteinacious residues accompanied with releasing of AA. Plackett-Burmann (PBD) statistical design experiment was designed to optimize the significant variables affecting in AA production under SSF conditions followed by RSM. Response surface methodology (RSM) was used to maximize the experimental plane of biodegradation conditions of free AA outputs by using Box-Behnken (BBD) design. All fungal (39 isolate) and bacterial isolates (16) have proteolytic activities with different ratios on casein liquid media. Both active isolates Aspergillus flavus MW8980 and Bacillus stratophericus 11844 isolated from soybean waste were the most strains that have both proteolytic, cellulolytic activities and total amount of free AA. Screening of the optimum conditions to both fungal and bacterial isolates for the maximum production AA by using PBD statistical design, six independent variables with twelve experimental runs were assumed. Aspergillus flavus MW9 and Bacillus sp. MW5 respectively. A. flavus MW9 and Bacillus sp. MW5 by using AA analyzer technique in Soils, Water and Environment Research Institute, Agricultural Research Center, Giza, Egypt. Analysis illustrated to presence of seventeen AA for both strains with various ratios. In case of Aspergillus flavus MW9 glutamic acid and aspartic acid have the highest values. As, for Bacillus sp. MW5 glutamic acid and lysine have the maximum amounts. The final step concluded molecular identification A. flavus MW9 using Inter Transcribed Spacer region (ITS) and constructed of phylogenetic tree using MEGA 10 software followed by deposited in Gen Bank database with the accession number Aspergillus flavus MW898013.1 Bacterial strain was also identified moleculary as Bacillus stratophericus using 16S and constructed of phylogenetic tree using MEGA 10 software followed by deposited in the Gen Bank database with the accession number Bacillus stratophericus 11844.