Optimasi Molase dan Tibicos sebagai Media Fermentasi dalam Memproduksi Nutraceutical Feed Additive Menggunakan Response Surface Methodology (RSM)

Mustofa Hilmi, Anis Usfah Prastujati

Abstract


ABSTRAK

Molase merupakan hasil samping industri gula tebu yang biasa digunakan dalam proses fermentasi. kandungan molase seperti sukrosa bisa digunakan media pertumbuhan bakteri asam laktat dan yeast sebagai sumber probiotik ternak. Optimasi parameter fermentasi molase memegang peranan yang penting dalam keberhasilan dalam menghasilkan komponen bahan organik, disamping jenis mikroorganisme yang digunakan. Penambahan konsentrasi inokulum (tibicos), konsentrasi molase, dan lama fermentasi menjadi hal yang utama untuk dioptimasi agar bakteri asam laktat dan asam organikĀ  dihasilkan optimal dan waktunya efisien menggunakan response surface methodology (RSM). Metode RSM berguna untuk menentukan nilai-nilai perlakuan (molase, tibicos, lama fermentasi dengan respon optimal terdiri dari 15 perlakuan faktorial bertujuan untuk menentukan variabel tetap dan variabel bebas. Penambahan tibicos dan lama fermentasi berpengaruh signifikan (P<0,05) terhadap jumlah bakteri asam laktat, namun interaksi antara konsentrasi molase dan kosentrasi tibicos (P<0,05) memberikan pengaruh yang signifikan terhadap respon pada tingkat probabilitas 95%. Interaksi kosentrasi tibicos dan lama fermentasi (P<0,05) memberikan pengaruh yang signifikan terhadap jumlah bakteri asam laktat. hasil optimasi, diperoleh nilai optimum kosentrasi molase 12,5%, Kosentrasi tibicos 10% dan waktu fermentasi 36 jam. Kondisi optimum tersebut diprediksi menghasilkan bakteri asam laktat dan prosentasi asam laktat sebesar 7,30333 log CFU/ml dan 0,386667%.

Kata kunci: fermentasi, molase, tibicos, RSM

ABSTRAK

Molasses is a by-product of the cane sugar industry which is commonly used in the fermentation process. Molasses such as sucrose can be used as a growth media for lactic acid bacteria and yeast as a source of animal probiotics. Optimization of molasses fermentation parameters plays an essential role in the success in producing components of organic matter, in addition to the types of microorganisms used. The RSM method is useful for determining treatment values (molasses, tibicos, fermentation time with optimal responses consisting of 15 factorial treatments aimed at determining fixed variables and independent variables. The addition of tibicos and fermentation time has a significant effect (P<0.05) on the number of bacteria lactic acid, but the interaction between the concentration of molasses and the concentration of tibicos (P<0.05) has a significant influence on the response at a probability level of 95%. Lactic acid optimization results obtained the optimum value of molasses concentration 12.5%, tibicos concentration 10% and fermentation time of 36 hours. The optimum conditions are predicted to produce lactic acid bacteria and lactic acid percentage of 7.30333 log CFU/ml and 0.386667 %.

Keywords: fermentation, molasses, tibicos, RSM


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References


Bhattacharya, A. 2015. Nutraceuticals in Livestock and Poultry. New India Publishing Agency. New Delhi.

Cao, Y., T. Takahashi, K-i Horiguchi, & N. Yoshida. 2010. Effect of adding lactic acid bacteria and molasses on fermentation quality and in vitro ruminal digestion of total mixed ration silage prepared with whole crop rice. Grassl Sci. 56(1):19-25. https:// doi.org/10.1111/j.1744-697X.2009.00168.x.

Cappuccino, J.G. & N. Sherman. 2013. Microbiology: A Laboratory Manual. Benjamin-Cummings Publishing Company. California.

Dumbrepatil, A., M. Adsul, S. Chaudhari, J. Khire, & D. Gokhale. 2008. Utilization of molasses sugar for lactic acid production by lactobacillus delbrueckii subsp. delbrueckii mutant uc-3 in batch fermentation. Appl Environ Microbiol. 74(1):333-335. https:// doi.org/10.1128/AEM.01595-07.

El-Gendy, N.S., H.R. Madian, & S.S.A. Amr. 2013. Design and optimization of a process for sugarcane molasses fermentation by saccharomyces cerevisiae using response surface methodology. Int J Microbiol. Article ID 815631. https://doi.org/10.1155/ 2013/ 815631.

Ghazzay, M.H. 2014. Propagation of kefir in various sugar media. Int J Bas Appl Sci. 14:41-45.

Hadiyanto, H. & Suttrisnorhadi. 2016. Response surface optimization of ultrasound assisted extraction (UAE) of phycocyanin from microalgae Spirulina platensis. Emirates Journal of Food and Agriculture 28(4):227-234. https://doi.org/10.9755/ ejfa.2015-05-193.

Hilmi, M., A.U. Prastujati, A. Khusna. M.H. Khirzin, & D. Yannuarista. 2019. Effects add kefir grains to whey cheese on chemical and microbiological qualities. Jurnal Ilmu-ilmu Peternakan 29(1):46-55. https://doi.org/ 10.21776/ub.jiip.2019.029.01.06.

Laureys, D. & L. De Vuyst. 2017. The water kefir grain inoculum determines the characteristics of the resulting water kefir fermentation process. J Appl Microbiol. 122(3):719-732.

Mahazar, N.H., Z. Zakuan, H. Norhayati, A.S. MeorHussin, & Y. Rukayadi. 2017. Optimization of culture medium for the growth of Candida sp. and Blastobotrys sp. as starter culture in fermentation of cocoa beans (Theobroma cacao) using Response Surface Methodology (RSM). Pakistan Journal of Biological Science 20(3):154-159. https://doi.org/10.3923/pjbs.2017.154.159.

Marquina, D., A. Santos, I. Corpas, J. Munoz, J. Zazo, & J.M. Peinado. 2002. Dietary influence of kefir on microbial activities in the mouse bowel. Lett Appl Microbiol. 35(2):136-140. https://doi.org/10.1046/j/1472765x.2002.01155.x.

Misran, E. 2005. Industri tebu menuju zero waste industry. Industri Tebu Menuju Zero Waste Industry. Jurnal Teknologi Proses 4(2):6-10.

Montgomery, D.C. 2001. Design and analysis of experiments. John Wiley & Sons. New York.

Myers, R.H., D.C. Montgomery, & C.M. Anderson-Cook. 2016. Response Surface Methodology: Process and Product Optimization Using Designed Experiments. John Wiley & Sons. New York.

Nurdyansyah, F. & U.H.A. Hasbullah. 2018. Optimasi fermentasi asam laktat oleh lactobacillus casei pada media fermentasi yang disubtitusi tepung kulit pisang. Al-Kauniyah 11(1):64-71.

Plessas, S., C. Nouska, I. Mantzourani, Y. Kourkoutas, A. Alexopoulos, & E. Bezirtzoglou. 2016. Microbiological exploration of different types of kefir grains. Fermentation 3(1):1. https://doi.org/10.3390/fermentation3010001.

Toghyani, M., S. Mosavi, M. Modaresi, & N. Landy. 2015. Evaluation of kefir as a potential probiotic on growth performance, serum biochemistry and immune responses in broiler chicks. Animal Nutrition. 1(4):305-309. https://doi.org/10.1016/j.aninu.2015. 11.010.

Wahyono, A. E. Kurniawati, Kasutjianingsih, P. Kang-Hyun, K. Woo-Won. Optimasi proses pembuatan tepung labu kuning menggunakan response surface metho-dology untuk meningkaatkan aktivitas antioksidannya. Jurnal Teknologi dan Industri Pangan 29(1):29-38. https://doi.org/ 10.6066/ jtip.2018. 29.1.29.

Wang S.Y., H.C. Chen, J.R. Liu, Y.C. Lin, & M.J. Chen. 2008. Identification of yeasts and evaluation of their distribution in Taiwanese kefir and viili starters. J Dairy Sci. 91(10):3798-3805.

Witthuhn, R., T. Schoeman, & T. Britz. 2005. Characterisation of the microbial population at different stages of Kefir production and Kefir grain mass cultivation. Int Dairy J. 15(4):383-389.




DOI: http://dx.doi.org/10.33772/jitro.v7i1.8441

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