Optimization of Downstream Process Parameters for Isolation of Androstenedione Using Statistical Approach

نویسندگان

  • Umesh Luthra
  • R. R. Patil
  • Nishtha Singh
چکیده

4-Androstenedione (AD), a 19-carbon steroid hormone is an oxidation product of phytosterol fermentation by Mycobacterium sp. The isolation of the product from the fermentation broth is a challenging task. Downstream processing is an important aspect of all biotechnological processes and has significant implications on quality and yield of the final product. In the present study, the statistical approach was employed to optimize the various parameters for the downstream processing of AD. The quantity of Hyflow (filtration aid) was optimized as 5%, initially using the one variable at a time method. Further the factors: rpm, volume, solvent polarity and extraction temperature were studied using full factorial design. Analysis of the experiment showed that the polarity and the extraction temperature had maximum impact on the AD extraction. Selection of solvent for extraction procedure was carried out using one variable at a time (OVAT) technique. Ethyl acetate showed maximum product recovery. A Central Composite Design of “response surface methodology” was conducted to optimize the most significant factors of downstream process, to maximize the product extraction. The optimized model shows rpm-3500, solvent volume-5V and temperature-30°C gives maximum extraction of androstenedione. Index Terms Androstenedione, downstream processing, Hyflow, solvent extraction, full factorial design, response surface methodology. ________________________________________________________________________________________________________

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

An empirical study on statistical analysis and optimization of EDM process parameters for inconel 718 super alloy using D-optimal approach and genetic algorithm

Among the several non-conventional processes, electrical discharge machining (EDM) is the most widely and successfully applied for the machining of conductive parts. In this technique, the tool has no mechanical contact with the work piece and also the hardness of work piece has no effect on the machining pace. Hence, this technique could be employed to machine hard materials such as super allo...

متن کامل

Using design of experiments approach and simulated annealing algorithm for modeling and Optimization of EDM process parameters

The main objectives of this research are, therefore, to assess the effects of process parameters and to determine their optimal levels machining of Inconel 718 super alloy. gap voltage, current, time of machining and duty factor are tuning parameters considered to be study as process input parameters. Furthermore, two important process output characteristic, have been evaluated in this research...

متن کامل

Application of orthogonal array technique and particle swarm optimization approach in surface roughness modification when face milling AISI1045 steel parts

Face milling is an important and common machining operation because of its versatility and capability to produce various surfaces. Face milling is a machining process of removing material by the relative motion between a work piece and rotating cutter with multiple cutting edges. It is an interrupted cutting operation in which the teeth of the milling cutter enter and exit the work piece during...

متن کامل

Improvement of Surface Finish when EDM AISI 2312 Hot Worked Steel using Taguchi Approach and Genetic Algorithm

Nowadays, Electrical Discharge Machining (EDM) has become one of the most extensively used non-traditional material removal process. Its unique feature of using thermal energy to machine hard to machine electrically conductive materials is its distinctive advantage in the manufacturing of moulds, dies and aerospace components. Howevere, EDM is a costly process and hence proper selection of its ...

متن کامل

A hybrid approach based on numerical, statistical and intelligent techniques for optimization of tube drawing process to produced squared section from round tube

In the tube drawing process, there are a bunch of parameters which play key role in process performance. Thus, finding the optimized parameters is a controversial issue. Current study aimed to produce a squared section of round tube by tube sinking process. To simulate the process finite element method (FEM) was used. Then, to find a meaningful kinship between process input and output parameter...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2016