Rice Bran or Apple Pomace? Comparative Data Analysis of Astaxanthin Bioproduction

Öz Modeling and optimization of high value-added astaxanthin pigment bioproduction statistically by Sporidiobolus salmonicolor ATCC 24259 from two substantial wastes, rice bran (RB) and apple pomace (AP) was aimed in this study. The experimental data was obtained at constant inoculum rate (2%) and particle size (0.85 mm) for both wastes by conducting 17 runs, which were generated by Box-Behnken design. 33.41 µg astaxanthin gRB- and 77.31 µg astaxanthin gAP- were produced as the maximum amount at the end of fermentation period, 10 days. Apple pomace was concluded as the optimized waste for the production of astaxanthin based upon the highest yield. Predicted response results of response surface methodology (RSM) and radial basis function-neural network (RBF-NN) were compared in order to evaluate the accuracy of two methodologies on non-linear behavior of the astaxanthin bioproduction. RBF-NN became prominent with its well-suited to apple pomace fermentation system by resulting in quite low 0.8495, root mean square error (RMSE), 0.3349, mean absolute error (MAE), and 0.9985, correlation coefficient (CC) as best measures of a model performance. 

___

Ambati R R, Phang S M, Ravi S & Aswathanarayana R G (2014). Astaxanthin: sources, extraction, stability, biological and its commercial applications-A review. Marine Drugs 12(1): 128-152

Arvanitoyannis I S (2010). Waste Management for the Food Industries. Charon Tec Ltd, First Edition, Chennai, India

Aslan N & Cebeci Y (2007). Application of Box-Behnken design and response surface methodology for modeling of some Turkish coals. Fuel 86(1): 90-97

Babitha S, Soccol C R & Pandey A (2007). Solidstate fermentation for the production of Monascus pigments from jackfruit seed. Bioresource Technology 98(8): 1554-1560

Baino A (2014). Recovery of biomolecules from food wastes--a review. Molecules 19(9): 14821-14842

Baş D & Boyacı I H (2007). Modeling and optimization I: Usability of response surface methodology. Journal of Food Engineering 78(3): 836-845

Couto S R (2008). Exploitation of biological wastes for the production of value-added products under solidstate fermentation conditions. Biotechnology Journal 3(7): 859-870

Couto S R & Sanromán M A (2006). Application of solid state fermentation to food industry- A review. Journal of Food Engineering 76: 291-302

Desai K M, Survase S A, Saudagar P S, Lele S S & Singhal R S (2008). Comparison of artificial neural network (ANN) and response surface methodology (RSM) in fermentation media optimization: Case study of fermentative production of scleroglucan. Biochemical Engineering Journal 41(3): 266-273

Deshmukh S C, Senthilnath J, Dixit R M, Malik S N, Pandey R A, Vaidya A N, Omkar S N & Mudliar S N (2012). Comparison of radial basis function neural network and response surface methodology for predicting performance of biofilter treating toluene. Journal of Software Engineering and Applications 5(8): 595-603

Dutta J R, Dutta P K & Banerjee R (2004). Optimization of culture parameters for extracellular protease production from a newly isolated Pseudomona ssp. using response surface and artificial neural network models. Process Biochemistry 39(12): 2193-2198

Fang H & Horstemeyer M F (2007). Global response approximation with radial basis functions. Engineering Optimization 38(4): 407-424

Gupta C, Garg A P, Prakash D, Goyal S & Gupta S (2011). Microbes as potential source of biocolors. Pharmacology 2: 1309-1318

Joshi V K & Attri D (2006). Solid state fermentation of apple pomace for the production of value added products. Natural Product Radiance 5(4): 289-296

Laufenberg G, Kunz B & Rosato P (2004). Adding value to vegetable waste: oil press cakes as substrates for microbial decalactone production. European Journal of Lipid Science and Technology 106(4): 207-217

Liu L, Jun Sun J, Zhang D, Du G, Chen J & Xu W (2009). Culture conditions optimization of hyaluronic acid production by Streptococcus zooepidemicus based on radial basis function neural network and quantumbehaved particle swarm optimization algorithm. Enzyme and Microbial Technology 44: 24-32

López S, Davies D R, Giráldez F J, Dhanoa M S, Dijkstra J & France J (2005). Assessment of nutritive value of cereal and legume straws based on chemical composition and in vitro digestibility. Journal of the Science of Food and Agricultural 85(9): 1550-1557

Pandey A, Soccol C R & Mitchell D (2000). New developments in solid state fermentation: I-bioprocesses and products. Process Biochemistry 35(10): 1153-1169

Panesar R, Kaur S & Panesar P S (2015). Production of microbial pigments utilizing agro-industrial waste: a review. Current Opinion in Food Science 1: 70-76

Warnes M R, Glassey J, Montague G A & Kara B (1998). Application of radial basis function and feed forward artificial neural networks to the Escherichia coli fermentation process. Neurocomputing 20: 67-82

Willmott C J (1982). Some comments on the evaluation of model performance. Bulletin of the American Meteorological Society 63(11): 1309-1313

___

Bibtex @araştırma makalesi { ankutbd456661, journal = {Journal of Agricultural Sciences}, issn = {}, eissn = {2148-9297}, address = {}, publisher = {Ankara Üniversitesi}, year = {2018}, volume = {24}, pages = {366 - 373}, doi = {10.15832/ankutbd.456661}, title = {Rice Bran or Apple Pomace? Comparative Data Analysis of Astaxanthin Bioproduction}, key = {cite}, author = {Dursun, Derya and Dalgıç, Ali Çoşkun} }
APA Dursun, D , Dalgıç, A . (2018). Rice Bran or Apple Pomace? Comparative Data Analysis of Astaxanthin Bioproduction . Journal of Agricultural Sciences , 24 (3) , 366-373 . DOI: 10.15832/ankutbd.456661
MLA Dursun, D , Dalgıç, A . "Rice Bran or Apple Pomace? Comparative Data Analysis of Astaxanthin Bioproduction" . Journal of Agricultural Sciences 24 (2018 ): 366-373 <
Chicago Dursun, D , Dalgıç, A . "Rice Bran or Apple Pomace? Comparative Data Analysis of Astaxanthin Bioproduction". Journal of Agricultural Sciences 24 (2018 ): 366-373
RIS TY - JOUR T1 - Rice Bran or Apple Pomace? Comparative Data Analysis of Astaxanthin Bioproduction AU - Derya Dursun , Ali Çoşkun Dalgıç Y1 - 2018 PY - 2018 N1 - doi: 10.15832/ankutbd.456661 DO - 10.15832/ankutbd.456661 T2 - Journal of Agricultural Sciences JF - Journal JO - JOR SP - 366 EP - 373 VL - 24 IS - 3 SN - -2148-9297 M3 - doi: 10.15832/ankutbd.456661 UR - Y2 - 1899 ER -
EndNote %0 Tarım Bilimleri Dergisi Rice Bran or Apple Pomace? Comparative Data Analysis of Astaxanthin Bioproduction %A Derya Dursun , Ali Çoşkun Dalgıç %T Rice Bran or Apple Pomace? Comparative Data Analysis of Astaxanthin Bioproduction %D 2018 %J Journal of Agricultural Sciences %P -2148-9297 %V 24 %N 3 %R doi: 10.15832/ankutbd.456661 %U 10.15832/ankutbd.456661
ISNAD Dursun, Derya , Dalgıç, Ali Çoşkun . "Rice Bran or Apple Pomace? Comparative Data Analysis of Astaxanthin Bioproduction". Journal of Agricultural Sciences 24 / 3 (Eylül 2018): 366-373 .
AMA Dursun D , Dalgıç A . Rice Bran or Apple Pomace? Comparative Data Analysis of Astaxanthin Bioproduction. J Agr Sci-Tarim Bili. 2018; 24(3): 366-373.
Vancouver Dursun D , Dalgıç A . Rice Bran or Apple Pomace? Comparative Data Analysis of Astaxanthin Bioproduction. Journal of Agricultural Sciences. 2018; 24(3): 366-373.
IEEE D. Dursun ve A. Dalgıç , "Rice Bran or Apple Pomace? Comparative Data Analysis of Astaxanthin Bioproduction", Journal of Agricultural Sciences, c. 24, sayı. 3, ss. 366-373, Eyl. 2018, doi:10.15832/ankutbd.456661
Tarım Bilimleri Dergisi
  • Yayın Aralığı: Yılda 4 Sayı
  • Yayıncı: Ankara Üniversitesi

30.9b15.3b

Sayıdaki Diğer Makaleler

The Effects of Hot and Cold Water Treatment on Quality Parameters and Enzymatic Activity in Chestnut

Murat ÇETİN, Bülent AKBUDAK, M. Hakan ÖZER

Effects of Cultural Conditions on Exopolysaccharide Production by Bacillus sp. ZBP4

Erdi ERGENE, Ayşe AVCI

Effects of Clinoptilolite on the Digestibility of Nutrients and Relative Organ Weights in Rat Diets

Ramazan DEMİREL, Murat Sedat BARAN, Dilek ŞENTÜRK DEMİREL, Aydın KETANİ, Beran YOKUŞ

Rice Bran or Apple Pomace? Comparative Data Analysis of Astaxanthin Bioproduction

Derya DURSUN, Ali Çoşkun DALGIÇ

A Prototype Downdraft Gasifier Design with Mechanical Stirrer for Rice Straw Gasification and Comparative Performance Evaluation for Two Different Airflow Paths

İbrahim Savaş DALMIŞ, Birol KAYİŞOĞLU, Serkan TUĞ, Türkan AKTAŞ, Mehmet Recai DURGUT, Figen DAŞÇI DURGUT

Induction of Herbicide Detoxifying Enzyme in Maize by Chiral 3-Dichloroacetyl Oxazolidine

Li-xia ZHAO, Qing-rui WANG, Ying FU, Chun-yan LI, Shuang GAO, Fei YEİ

Identification of Favourable Testing Locations for Barley Breeding in South Pannonian Plain

Milan MIROSAVLJEVIĆ, Petar ČANAK, Vojislava MOMČILOVIĆ, Bojan JOCKOVIĆ, Miroslav ZORIĆ, Vladimir AĆIN, Srbislav DENČIĆ, Novo PRŽULJ

Effect of Purpureocillium lilacinum on Root Lesion Nematode, Pratylenchus thornei

İlker KEPENEKÇİ, Halil TOKTAY, Erçin OKSAL, Refik BUZBOĞA, Mustafa İMREN

Populations of Exotic × Locally Adapted Germplasm - A Potent

Kramat KHAN, Naqib Ullah KHAN, Muhammad IQBAL, Hassan SHER, Samrin GUL, Naushad Ali ALİ

Convective Drying Kinetics and Quality Parameters of European Cranberrybush

Onur TAŞKIN, Gökçen İZLİ, Nazmi İZLİ