Optimization of infrared drying condition for whole duku fruit using response surface methodology
Keywords:Duku, infrared, optimization, response surface methodology
Duku (Lansium domesticum), tropical exotic fruit, was successfully preserved by drying using exposure to infrared radiation emitters. Response surface methodology (RSM) is used to optimize independent variables (IRE distance of 6 cm and 10 cm, IRE temperature of 200 °C, 300 °C, 400 °C, and IRE exposure time of 50 s, 60 s, 70 s, and to produce response variables (weight loss, fruit firmness, titratable acidity, total soluble solid, and browning index). It could be concluded from the optimization performed that drying duku skin in a whole fruit by exposing the fruit to the infrared emitter resulted in a duku fruit with a relatively good physical and chemical conditions and still be consumable. The IRE distance of 6 cm gave a desirability value of 0.80 while the IRE distance of 10 cm gave a desirability value of 0.92 however the IRE distance of
6 cm gave a better storage time. The IRE distance of 6 cm has an optimum value of weight loss 2.2%; optimum value of fruit firmness of 40.92 N; optimum value of total soluble solid of 17.48 brix; optimum value of titratable acidity of 0.33%; and optimum value of browning index of 0.9. The fitting model base on RSM resulted from this research indicated that this study could be used as the basis for alternative process in food processing of duku but still need further research to increase the shelf life and a better result in the chemical and physical characteristics of duku.
Bajzík, P., Židek, R., Golian, J., Belej, L., Čapla, J., Maršálková, L., Ondrej, R. 2011. Optimalisation of species identification of common carp (Cyprinus carpio) using sybr® green real -time PCR method. Potravinarstvo, vol. 5, no. 3, p. 1-5. https://doi.org/10.5219/154
Belwal, T., Dhyani, P., Bhatt, I. D., Rawal, R. S., Pande, V. 2016. Optimization extraction conditions for improving phenolic content and antioxidant activity in Berberis asiatica fruits using response surface methodology (RSM). Food Chemistry, vol. 207, p. 115-124. https://doi.org/10.1016/j.foodchem.2016.03.081
Design Expert Program Version 11. 2018. New York, USA : Taylor&Francis, CRC Productivity Press.
Erbay, Z., Icier, F. 2009. Optimization of hot air drying of olive leaves using response surface methodology. Journal of Food Engineering, vol. 91, p 533-541. https://doi.org/10.1016/j.jfoodeng.2008.10.004
Ferreira, H., Flaus, A., Owen-Hughes, T. 2007. Histone modifications influence the action of Snf2 family remodelling enzymes by different mechanisms. Joural of Molecular Biology, vol. 374, no. 3, p. 563 - 579. https://doi.org/10.1016/j.jmb.2007.09.059
Gan, C. Y., Latiff, A. 2011. Extraction of antioxidant pectic-polysaccharide from mangosteen (Garcinia mangostana) rind: Optimization using response surface methodology. Carbohydrate Polymers, vol. 83, no. 2, p. 600-607. https://doi.org/10.1016/j.carbpol.2010.08.025
Guo, X., Zou, X., Sun, M. 2010. Optimization of extraction process by response surface methodology and preliminary characterization of polysaccharides from Phellinus igniarius. Carbohydrate Polymers, vol. 80, p. 344-349. https://doi.org/10.1016/j.carbpol.2009.11.028
Haaland, P. D. 1989. Statistical Problem Solving. In Haaland, P. D. Experimental Design in Biotechnology. New York, USA : Marcel Dekker, p. 1-18. ISBN 9780824778811.
Hamanaka, D., Dokan, S., Yasunaga, E., Kuroki, S., Uchino, T., Akimoto, K. 2000. The Sterilization Effects of Infrared Ray on The Agricultural Products Spoilage Microorganisms (part I). ASAE Annual Meeting Presentation, p. 1-9.
Hamanaka, D., Uchino, T., Furuse, N., Han, W.,Tanaka, S. 2006. Effect of the wavelength of infrared heaters on the inactivation of bacterial spores at various water activities. International Journal of Food Microbiology, vol. 108, no. 2, p. 281-285 https://doi.org/10.1016/j.ijfoodmicro.2005.11.019
Hill, W. J., Hunter, W. G. 1966, A review of response surface methodology: a literature survey. Technometrics, vol. 8, p. 571-590. https://www.jstor.org/stable/1266632
Jiang, N., Lui, X., Yang, J., Li, Z., Pan, J., Zhu, X. 2011. Regulation of copper homeostasis by Cuf1 associates with its subcellular localization in the pathogenic yeast Cryptococcus neoformans H99. FEMS Yeast Res., vol. 11, no. 5, p. 440-448. https://doi.org/10.1111/j.1567-1364.2011.00733.x
Krishnamurthy, K., Jun, S., Irudayaraj, J., Demirci, A. 2008. Efficacy of infrared heat treatment for inactivation of staphylococcus aureus in milk. Journal of Food Process Engineering, vol. 31, no. 6, p. 798-816. https://doi.org/10.1111/j.1745-4530.2007.00191.x
Li, X., Pan, Z. 2014a. Dry-peeling of Tomato by Infrared Radiative Heating: Part I. Model Development. Food and Bioprocess Technology, vol. 7, no. 7, p. 1996-2004. https://doi.org/10.1007/s11947-013-1203-8
Li, X., Pan, Z. 2014b. Dry Peeling of Tomato by Infrared Radiative Heating: Part II. Model Validation and Sensitivity Analysis. Food and Bioprocess Technology, vol. 7, no. 7, p. 2005-2013. https://doi.org/10.1007/s11947-013-1188-3
Mercier, S., Villeneuve, S., Mondor, M., Des Marchais, L. P. 2011. Evolution of porosity, shrinkage and density of pasta fortified with pea protein concentrate during drying. LWT-Food Science and Technology, vol 44, no. 4, p. 883-890. https://doi.org/10.1016/j.lwt.2010.11.032
Muralidhar, R. V., Chirumamila, R. R., Marchant, R., Nigam, P. 2001. A response surface approach for the comparison of lipase produc- tion by Candida cylindracea using two different carbon sources. Biochemical Engineering Journal, vol. 9, no. 1, p. 17-23. https://doi.org/10.1016/S1369-703X(01)00117-6
Myers, R. H., Montgomery, D. C. 2002. Response Surface Methodology: Product and Process Optimization Using Designed Experiments. 2nd Edition. New York, USA : John Wiley & Sons, 856 p. ISBN 978-1-118-91601-8.
Ondrejovič, M., Chmelová, D., Maliar, T. 2011. Response surface methodology for optimization of the extraction of flax (linum usitatissimum) seed oil. Potravinarstvo, vol. 5, no. 4, p. 48-52. https://doi.org/10.5219/168
Ozdemir, M., Banu, F. O., Dock, L. L., Floros, J. D. 2008. Optimization of osmotic dehydration of diced green peppers by response surface methodology. LWT - Food Science and Technology, vol. 41, no. 10, p. 2044-2050. https://doi.org/10.1016/j.lwt.2008.01.010
Pan, Z., Li, X., Bingol, G., McHugh, T. H., Atungulu, G. G. 2009. Development of infrared radiation heating method for sustainable tomato peeling. Applied Engineering in Agriculture, vol. 25, no. 6, p. 935-941. https://doi.org/10.13031/2013.29227
Patil, V., Chauhan, A. K., Singh, R. P. 2014. Optimization of the spray-drying process for developing guava powder using response surface methodology. Powder Technology. vol. 253, p. 230-236. https://doi.org/10.1016/j.powtec.2013.11.033
Rahmawati, L., Saputra, D., Sahim, K., Priyanto, G. 2018. Effect of Infrared Radiation on Chemical and Physical Properties on Duku's Peel. Potravinarstvo Slovak Journal of Food Science, vol. 12, no. 1, p. 744-755. https://doi.org/10.5219/985
Saputra, D., Pratama, F. 2013. Quality Changes of Exotic Tropical Fruits during Storage in Semi- Passive Modified Atmosphere. Acta Horticulturae (ISHS), vol. 1011, p. 243-249. https://doi.org/10.17660/ActaHortic.2013.1011.29
Sakai, N., Hanzawa, T. 1994. Applications and advances in far‐infrared heating in Japan. Trends in Food Science and Technology, vol. 5, no. 11, p. 357‐62. https://doi.org/10.1016/0924-2244(94)90213-5
Sawai, J., Sagara, K., Hashimoto, A., Igarashi, H., Shimizu, M. 2003. Inactivation characteristics shown by enzymes and bacteria treated with far-infrared radiative heating. Journal International Microbiology Biotechnology, vol. 38, no. 6, p. 661-667. https://doi.org/10.1046/j.1365-2621.2003.00717.x
Sawai, J., Sagara, K., Kasai, S., Igarashi, H., Hashimoto, A., Kokugan, T., Shimizu, M., Kojima, H. 2000. Far-infrared irradiation-induced injuries to Escherichia coli at below the lethal temperature. Journal of Industrial Microbiology and Biotechnology, vol. 24, no. 1, p. 19-24. https://doi.org/10.1038/sj.jim.2900772
Sishir, M. R. I., Taip, S. F., Aziz, N. A., Talib, A. R., Sarker, S. H. 2016. Optimization of Spray Drying Parameters for Pink Guava Powder Using RSM. Food Sci. Biotechnol., vol. 25, no. 2, p. 461-468.
Tanyildizi, M. S., Ozer, D., Elibol, M. 2005. Optimization of α amyl- ase production by Bacillus sp. using response surface methodology. Process Biochemistry. vol. 40, no. 7, p. 2291-2296. https://doi.org/10.1016/j.procbio.2004.06.018
Vaibhav, P., Anil, K. C., Surendra, P. 2014. Influence of Spray Drying Technology on the Physical and Nutritional Properties of Guava Powder. International Journal of Current Microbiology and Applied Science, vol. 3, no. 9, p. 1224-1237.
Wernimont, G. T. 1985. Use of Statistics to Develop and Evaluate Analytical Methods. Arlington, USA : Aoac Intl, 183 p. ISBN-13 978-0935584318.
Xiong, Z., Sun, D. W., Pu, H., Zhu, Z., Luo, M. 2015. Combination of spectra and texture data of hyperspectral imaging for differentiating between free-range and broiler chicken meats. LWT - Food Science and Technology, vol. 60, no. 2, p. 649-655. https://doi.org/10.1016/j.lwt.2014.10.021
Youssefi, S., Emam-Djomeh, Z., Mousavi, S. M. 2009. Comparison of Artificial Neural Network (ANN) and Response Surface Methodology (RSM) in the Prediction of Quality Parameters of Spray-Dried Pomegranate Juice. Drying Technology, vol. 27, no. 7-8, p. 910-917. https://doi.org/10.1080/07373930902988247
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