Optimum Process Parameters and Thermal Properties of Moisture Content Reduction in Water Yam Drying
Asian Journal of Chemical Sciences,
The determination of optimum process parameters for moisture content reduction in water yam drying using a hot air dryer was the aim of this work. Gravimetric method was used to determine the moisture content. Design of experiment was used with slice thickness, airspeed and temperature as the independent factors. Thermal properties such as effective moisture diffusivity and activation energy were determined. The result showed that slice thickness, airspeed and temperature have significant influence on the moisture content reduction. The effective moisture diffusivity ranged from 2.84 x 10-5 m2/s to 8.10 x 10-5 m2/s. The activation energy was 30.592kJ/mol. Minimum moisture content value of 11.98% was obtained at slice thickness of 2mm, airspeed of 2 m/s and temperature of 70oC. The quadratic model best described the drying process. The hot air dryer can conveniently be used for moisture content reduction in water yam slices which will increase its shelf life.
- Water yam
- effective moisture diffusivity
- thermal properties
How to Cite
Rajeev B, AbdKarim A, Gopinadhan P. Factors affecting the growth of microorganisms in Food. Progress in Food Preservation. John Wiley & Sons Ltd; 2012.
Oko AO, Famurewa AC. Estimation of nutritional and starch characteristics of Dioscoreaalata(Water Yam) Varieties Commonly Cultivated in South-Eastern Nigeria. British Journal of Applied Science & Technology. 2014;6(2):145-152.
Doymaz I. Thin-layer drying characteristics of sweet potato slices and mathematical modeling. Heat and Mass Transfer. 2011;47 (3) 277-285.
Famurewa JAV, Olatujoye JB, Ajibode A. Drying phenomenon and influence on the anti nutritional and pasting properties of Cocoayam (Taro). Journal of Scientific Research & Reports. 2014;3(2):275-283.
Onu CE, Igbokwe PK, Nwabanne JT. Effective moisture diffusivity, activation energy and specific energy consumption in the thin-layer drying of potato. International Journal of Novel Research in Engineering and Science. 2016;3(2):10 – 22.
Akpinar E, Midilli A, Bicer Y. Single layer drying behaviour of potato slices in a convective cyclone dryer and mathematical modeling. Energy Conversion Management. 2003;44:1689–1705.
Khaled MY, Sayed MM. Effect of drying methods on the antioxidant capacity, colour and phytochemicals of Portulacaoleraceal leaves. Journal of Nutrition and Food Science. 2014;4(6):1 – 6. DOI:http://dx.doi.org/10.4172/2155-9600.1000322.
Amiri CR, Amiri PJ, Esna-Ashari M. Modeling of moisture diffusivity, activation energy and specific energy consumption of high moisture corn in a fixed and fludidized bed convective dryer. Spanish Journal of Agricultural Research. 2011;9(1):28 – 40.
Zielinska M, Markowski M. Air drying characteristics and effective moisture diffusivity of carrots. Chemical Engineering Process. 2010;49 :212 – 218.
Kaptso KG, Njintang YN, Nguemtechouin MMG, Scher J, Hounhouinyan J, Mbofuny CM. Drying kinetics of two varieties of Bambara groundnuts (Vignasubterranca) seeds. Journal of Food Technology. 2013;11(2):30-37. DOI:http://dx.doi.org/10.36478/jftech.2013.30.37.
Chenchaiah M, Muthukumarappan K. Processing aids for improving heat transfer during drying of granular food materials. Journal of Food Processing and Technology. 2014;4(8)1–4. DOI:http://dx.doi.org/10.4172/2157-7110.1000258.
Ravinder KS. Open sun and green house drying of agricultural food products:a review. International Journal of Engineering Research and Technology 2014;3(3):1053-1065.
Moshen B. Energy efficiency and moisture diffusivity of apple slices during convective drying. Food science and technology. 2006;36(1):145-150.
Reyes A, Mahn A, Huenulaf P, Gonzalez T. Tomato dehydration in a hybrid solar Dryer. Journal of Chemical Engineering and Process Technology. 2014;5(4) 1 – 8.
Onu CE, Nwabanne JT. Application of response surface methodology in malachite green adsorption using Nteje clay. Open Journal of Chemical Engineering and Science. 2014;1(2) 19 – 33.
Okpe EC, Asadu CO, Onu CE. Statistical analysis for orange G adsorption using kola nut shell activated carbon, Journal of the Chinese Advanced Materials Society, 2018;1 – 15. DOI:10.1080/22243682.2018.1534607.
Venkatesh PM, Karthikeyan R. Comparative studies on modelling and optimization of hydrodynamic parameters on inverse fluidized bed reactor using ANN-GA and RSM. Alexandria Engineering Journal. 2018;57:3019–3032. DOI:https://doi.org/10.1016/j.aej.2018.05.002.
Iheanacho CO, Nwabanne JT, Onu CE. Optimum process parameters for activated carbon production from rice husk for phenol adsorption. Current Journal of Applied Science and Technology. 2019;36(6):1-11. DOI:10.9734/cjast/2019/v36i630264.
Onu CE, Nwabanne JT, Ohale PE, Asadu CO. Comparative analysis of RSM, ANN and ANFIS and the mechanistic modeling in eriochrome black-T dye adsorption using modified clay. South African Journal of Chemical Engineerin; 2021. DOI:https://doi.org/10.1016/j.sajce.2020.12.003.
Majid R, Sadegh S, Hamid RG, Habibeh N. Influence of drying conditions on the effective moisture diffusivity and energy of activation during the hot air drying of garlic. Australian Journal of Agricultural Engineering. 2011;2(4):96 – 101.
Luther RW, Dwayne AS, Gerald HB. Food and process engineering technology. ASAE Publication, USA; 2003.
Nwabanne JT. Drying characteristics and Engineering properties of fermented ground cassava. African Journal of Biotechnology. 2008;8(5):873 – 876.
Nwabanne JT, Okpe EC, Asadu CO, Onu CE. Application of response surface methodology in phenol red adsorption using kola nut (Cola acuminata) shell activated carbon. International Research Journal of Pure & Applied Chemistry. 2017;15(4):1–14. DOI:10.9734/IRJPAC/2017/39421.
Onu CE, Igbokwe PK, Nwabanne JT, Nwanjinka OC, Ohale PE. Evaluation of optimization techniques in predicting optimum moisture content reduction in drying potato slices. Artificial intelligence in Agriculture. 2020;4;39–47. DOI:https://doi.org/10.1016/j.aiia.2020.04.001.
Arulkumar M, Sathishkumar P, Palvannan T. Optimization of Orange G dye adsorption by activated carbon of Thespesiapopulnea pods using response surface methodology. Journal of Hazardous Materials. 2011;186(1):827–834.
Ademiliyu T, Abowei MF, Chinewhu SC, Fubara TE. Effect of variety on the drying and engineering properties of fermented ground cassava. Journal of New Views in Engineering Analysis and Modelling. 2006;1(1):80-96.
Aghbashlo M, Kianmehr MH, Samimi-Akhijahani H. Influence of drying conditions on the effective moisture diffusivity, energy of activation and energy consumption during the thin-layer drying of beriberi fruit (Beriberidaceae). Energy Conversion and Management. 2008;49(10):2865-2871.
Thorat ID, Mohaparta D, Sutar RF, Kapdi SS, Jagtap DD. Mathematical modeling and experimental study on thin-layer vacuum drying of ginger (Zingiberofficinale R) slices. Food Bioprocess Technology. 2010;5:1379-1383.
Bablis J, Belessiotis VG. Influence of the drying conditions on the drying contents and moisture diffusivity during the thin layer drying of figs. Journal of Food Engineering. 2004;65:449-458.
Oguanobi NC, Onu CE, Onukwuli OD. Adsorption of a dye (crystal violet) on an acid modified non-conventional adsorbent. Journal of Chemical Technology and Metallurgy. 2019;54(1):95-110.
Taran M, Aghaie E. Designing and optimization of separation process of iron impurities from kaolin by oxalic acid in bench-scale stirred-tank reactor. Applied Clay Science. 2015;107:109-116. DOI:https://doi.org/10.1016/j.clay.2015.01.010.
Amani-Ghadim AR, Aber S, Olad A, Ashassi-Sorkhabi H. Optimization of electrocoagulation process for removal of an azo dye using response surface methodology and investigation on the occurrence of destructive side reactions. Chemical Engineering and Processing. 2013;64:68-78.
Körbahti BK, Tanyolaç A. Electrochemical treatment of simulated textile wastewater with industrial components and Levafix Blue CA reactive dye: Optimization through response surface methodology. Journal Hazard Mater. 2008;151:422– 431.
Gholamhossein S, Seyed AS, Nedasadat SA. Evaluation of the response surface and hybrid artificial neural network-genetic algorithm methodologies to determine extraction yield of ferulagoangulatathrough supercritical fluid. Journal of the Taiwan Institute of Chemical Engineers. 2016;60:165 – 173. DOI:https://doi.org/10.1016/j.jtice.2015.11.003.
Noordin MY, Venkatesh VC, Sharif S, Elting S, Abdullah A. Application of response surface methodology in describing the performance of coated carbide tools when turning AISI 1045 steel. J. Mater. Process. Technol. 2004;145:46–58.
Kiomars S, Kaveh K, Hossein A, Roshanak RK, Zargam H, Hooshmand S, Masoud M. Apllication of response surface methodology (RSM) for statistical analysis, modeling and optimization of removal of phenol from aqueous solutions by aluminum-modified scoria powder. International Research Journal of Applied and BasicSciences. 2009;9(10):1789-1798.
Lee KM, Gilmore DF. Formulation and process modeling of biopolymer (polyhydroxyalkanoates:PHAs) production from industrial wastes by novel crossed experimental design. Process Biochemistry. 2005;40:229–246.
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