Roghayeh Jafari Taraji, Alireza Alishahi, Seyed Mahdi Ojagh, Abbas Esmaeili Molla,
Volume 4, Issue 3 (12-2015)
Abstract
Protein hydrolysate (PH) from viscera of cultured Siberian sturgeon (Acipenser baerii) was produced. To optimize the production conditions, Response Surface Method (RSM) was employed to examine the effects of three different operating conditions, including time, pH, and enzymatic concentration (Alcalase) on the degree of hydrolysis.The mathematical model showed acceptable fitness of the experimental data as R2 equaled 0.97, which indicated that major part of the variability within the range of values could be explained by the model. The results showed that the highest degree of hydrolysis (58.21%) was related to the treatment which happened at the enzymatic concentration of 2%, 60 minutes time, and pH=8. Treatment under hydrolysis condition (i.e., E/S = 2%, Time = 45 min, and pH = 8.5) had the highest protein content (42.37g/l), which was used as an alternative to commercial peptone medium (Triptic soy broth) to assess the growth of Salmonella typhi bacteria from 0 to 48 hours. Although there was an upward trend in growth rate of S. typhi both in control and No. 15 (Alcalase) treatments, the log growth of control treatment was found to be better than that of Alcalase treatment. However, there existed no significant difference between the two treatments.
Volume 22, Issue 2 (summer 2022 2022)
Abstract
Green growth emphasizes the production and supply of eco-friendly products and is considered a suitable strategy for economic growth along with the preservation of natural resources and reducing pollution emission in different countries. Given that Iran as a developing country does not perform well in terms of the green growth index, it is necessary to evaluate energy consumption, pollution of various economic activities, and identifying economic opportunities for green growth in terms of production and employment indicators. This study, using the multi-factor energy input-output method and input-output table data related to 2016, investigates the impact of final demand on primary energy consumption, CO2 emission, economic growth, and energy jobs which in turn identifies green growth potentials in Iran's economic sectors with considering both growth and employment indicators. The results show that the sectors related to the production of agricultural and livestock products, services and food products have the lowest CO2 emissions for each unit of production growth and the growth of energy jobs. On the other hand, due to the low growth potential of transportation services, base metals, rubber and plastic products, encouraging higher final demand for products will not be attractive; so that, structural changes in these sectors are necessary for planning green growth.
