Response surface methodology for optimization of process variable for reactive orange 4 dye discoloration byPseudomonas putidaSKG-1 strain and bioreactor trial for its possible use in large-scale bioremediation

2014 ◽  
Vol 54 (11) ◽  
pp. 3122-3133 ◽  
Author(s):  
Satyendra Kumar Garg ◽  
Manikant Tripathi ◽  
Nand Lal
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Large Scale ◽  
Process Variable ◽  
Reactive Orange

scholarly journals Ultrasound-Assisted Extraction of Total Acetogenins from the Soursop Fruit by Response Surface Methodology

Molecules ◽  
2020 ◽  
Vol 25 (5) ◽  
pp. 1139 ◽  
Author(s):  
Gabriela Aguilar-Hernández ◽  
María de los Ángeles Vivar-Vera ◽  
María de Lourdes García-Magaña ◽  
Napoleón González-Silva ◽  
Alejandro Pérez-Larios ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Large Scale ◽  
Raw Material ◽  
Ultrasound Assisted Extraction ◽  
Fruit Peel ◽  
Optimal Method ◽  
Assisted Extraction ◽  
Ultrasound Assisted ◽  
By Products

The soursop fruit or Annona muricata (A. muricata) fruit is recognized by its bioactive compounds and acetogenins (ACG) are among the most important. The effect of ACGs, with greater importance in health, is that they present anti-tumor activity; however, the methods of extraction of ACGs are very slow and with a high expenditure of solvents. To our knowledge, there is no report of an optimal method for the extraction of acetogenins from the Annonaceae family by ultrasound-assisted extraction (UAE); therefore, the aim was to find the best UEA conditions of acetogenins from A. muricata fruit (peel, pulp, seed, and columella) by using response surface methodology. The effect of amplitude (40%, 70%, and 100%), time (5, 10, and 15 min), and pulse-cycle (0.4, 0.7, and 1 s) of ultrasound at 24 kHz was evaluated on the total acetogenin content (TAC). Optimal extraction conditions of acetogenins (ACGs) with UEA were compared with the extraction of ACGs by maceration. The optimal UEA conditions in the A. muricata pulp and by-products were dependent on each raw material. The highest TAC was found in the seed (13.01 mg/g dry weight (DW)), followed by the peel (1.69 mg/g DW), the pulp (1.67 mg/g DW), and columella (1.52 mg/g DW). The experimental TAC correlated well with the model (Adjusted R2 with values between 0.88 and 0.97). The highest effectiveness in ACG extraction was obtained in seeds and peels using UEA compared to extraction by maceration (993% and 650%, respectively). The results showed that A. muricata by-products are an important source of ACGs and that UAE could be a viable alternative, with high potential for large-scale extraction.

scholarly journals Optimization of Growth and Carotenoid Production by Haloferax mediterranei Using Response Surface Methodology

Marine Drugs ◽  
2018 ◽  
Vol 16 (10) ◽  
pp. 372 ◽  
Author(s):  
Zaida Montero-Lobato ◽  
Adrián Ramos-Merchante ◽  
Juan Fuentes ◽  
Ana Sayago ◽  
Ángeles Fernández-Recamales ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Large Scale ◽  
Antioxidant Properties ◽  
Carotenoid Content ◽  
Scale Production ◽  
Optimal Conditions ◽  
Haloferax Mediterranei ◽  
Carotenoid Production ◽  
Total Carotenoid Content

Haloferax mediterranei produces C50 carotenoids that have strong antioxidant properties. The response surface methodology (RSM) tool helps to accurately analyze the most suitable conditions to maximize C50 carotenoids production by haloarchaea. The effects of temperature (15–50 °C), pH (4−10), and salinity (5–28% NaCl (w/v)) on the growth and carotenoid content of H. mediterranei were analyzed using the RSM approach. Growth was determined by measuring the turbidity at 600 nm. To determine the carotenoid content, harvested cells were lysed by freeze/thawing, then re-suspended in acetone and the total carotenoid content determined by measuring the absorbance at 494 nm. The analysis of carotenoids was performed by an HPLC system coupled with mass spectrometry. The results indicated the theoretical optimal conditions of 36.51 or 36.81 °C, pH of 8.20 or 8.96, and 15.01% or 12.03% (w/v) salinity for the growth of haloarchaea (OD600 = 12.5 ± 0.64) and production of total carotenoids (3.34 ± 0.29 mg/L), respectively. These conditions were validated experimentally for growth (OD600 = 13.72 ± 0.98) and carotenoid production (3.74 ± 0.20 mg/L). The carotenoid profile showed four isomers of bacterioruberin (89.13%). Our findings suggest that the RSM approach is highly useful for determining optimal conditions for large-scale production of bacterioruberin by haloarchaea.

scholarly journals APLIKASI LEVEL CONTROL PADA SEPARATOR (SLUG CATCHER D-2710) PADA GAS RECEIVING PT. PERTA ARUN GAS

2021 ◽  
Vol 9 (2) ◽  
pp. 23
Author(s):  
Nasrul ZA ◽  
Azhari Azhari ◽  
Rozanna Dewi ◽  
Lukman Hakim ◽  
Muthia Septiana
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Direct Action ◽  
Dynamic Control ◽  
Control Valve ◽  
Process Variable ◽  
Tuning Parameter ◽  
Level Control ◽  
Control Dynamic ◽  
Bottom Product

Aplikasi kontrol PID pada tangki pemisah (separator) diteliti dengan berbagai variasi parameter seperti Kc, Ti dan Td. Kontrol level dijadikan sebagai respon dengan beberapa variasi gangguan. Sistem pengendalian level liquid pada separator dengan tuning parameter kontroler PID dengan kondisi operasi pada PT. Perta Arun Gas dengan tujuan mendapatkan bottom product yang sesuai spesifikasi dengan melakukan trial and error juga mendapatkan nilai Kc dan Ti terbaik. Control valve memiliki 2 action yaitu direct action dan reverse action. Pengontrol PID merupakan penggabungan dari pengontrol proportional integral derivative (PID) yang bertujuan untuk mempercepat reaksi sebuah sistem, menghilangkan offset. Tuning range Kc, Ti yang digunakan adalah Kc= 2-20 dan Ti 5-10 menit yang selanjutnya akan di run menggunakan response surface methodology dengan meninjau waktu PV (process variable) mendekati SP (setpoint) dan opening valve. Metode respon surface methodology digunakan untuk melihat pengaruh variabel terhadap suatu variabel respon dan untuk mengoptimalkan variabel respon tersebut. Optimasi waktu tercepat saat mengatasi gangguan dengan variasi level adalah tuning parameter Kc=17,18 dan Ti=5,6 dengan waktu 0,3 menit dan bukaan OP 26,9%. Waktu terlama saat mengatasi gangguan adalah pada Kc=4,64, Ti=9,27 menit, time=0,61 menit dengan OP=10,6%.Key words:    Control dynamic, Control PID, Response Surface Methodology.

Sign in / Sign up

Export Citation Format

Share Document