Research Article
BibTex RIS Cite

Optimization of Hybrid Solar Drying of Okra by Using Response Surface Planes

Year 2025, Volume: 8 Issue: 6, 785 - 790, 15.11.2025
https://doi.org/10.47115/bsagriculture.1686701

Abstract

This study employs the Response Surface Methodology (RSM) with a Central Composite Design (CCD) to optimize the hybrid solar drying process. Sixteen experimental runs were conducted based on three key input variables, leading to the formulation of a second-order regression model that explains the effects of these parameters on drying duration and energy consumption. Using data analysis via Minitab software, the optimal conditions were identified to achieve a final product moisture content of 15% (wet basis) while minimizing drying time and energy usage. The results revealed that energy demand increases with greater slice thickness, drying temperature, and air velocity, whereas drying time rises with slice thickness but decreases with increasing temperature and airflow. High agreement was found between the predictive models and experimental observations, with R² values of 99.3% for drying time and 99.8% for energy consumption. The optimal drying conditions were 40 °C air temperature, 11.5 mm slice thickness, and 1.02 m/s air velocity.

Ethical Statement

Ethics committee approval was not required for this study because there was no study on animals or humans.

References

  • Acquistucci R, Francisci R. 2002. Effect of okra (Hibiscus esculentus L.) addition on the technological properties of a wheat flour. Int J Food Sci Nutr, 53(5): 375-379.
  • Benseddik A, Allaf AK, Azzi A, Zidoune MN. 2016. Optimization of the operating conditions of pumpkin drying by hot air dryer using the response surface method. In: The 4nd International Seminar on New and Renewable Energies, October 24-25, Ghardaïa, Algérie, pp: 7.
  • Boughali S. 2010. Study and optimization of solar drying of agri-food products in arid and desert areas. PhD Thesis, Université de Biskra, pp: 137.
  • Doymaz I. 2005. Drying characteristics and kinetics of okra. J Food Eng, 69(3): 275-279.
  • Hamon S, Charrier A. 1997. Le gombo. In: Tropical Plant Breeding. CIRAD/ORSTOM, Montpellier, France, pp: 313-333.
  • Jiokap Nano Y, Telewo N, Nanko NL, Kapseu C. 2021. Study of the drying kinetics of okra (Abelmoschus esculentus L.): Influence of washer size, drying temperature, pre-treatment and variety. The 1st International Conference on Local Resource Exploitation, LOREXP, april 20-23, Ngaoundere, Camerun, pp: 426-446.
  • Kemmene Dapabko S, Jiokap Nano Y, Arebga AW, Kapseu C, Puiggali JR. 2021. Determination and modeling of sorption isotherms of okra (Abelmoschus esculentus L. Moench) and sweet green pepper (Capsicum annuum L. Moench). J Biosyst Eng, 46(2): 60-80.
  • Kone Y. 2011. Quality improvement of tomato dried by microwave hot air with power density control. PhD Thesis, AgroParisTech; Félix Houphouët-Boigny National Polytechnic Institute, Yamoussoukro, Ivory Coast, pp: 57.
  • Ndukwu MC. 2009. Effect of drying temperature and velocity on the drying rate and drying constant of cocoa bean. Agric Eng Int: CIGR J, 11: 1-6.
  • Nguyen TT. 2015. Experimental study and modeling of vegetable and fruit drying. PhD Thesis, Process Eng Univ South Brittany, French, pp: 104.
  • Seiiedlou S, Ghasemzadeh HR, Hamdami N, Talati F, Moghaddam M. 2010. Convective drying of apple: Mathematical modeling and determination of some quality parameters. Int J Agric Biol, 12(2): 171-178.
  • Sharma S, Mbanya JC, Cruickshank K, Cade N, Tanya AKN, Cao X, Hurbos M, Wong MRKM. 2007. Nutritional composition of commonly consumed composite dishes from the central Province of Cameroon. Int J Food Sci Nutr, 58(6): 475-487.

Optimization of Hybrid Solar Drying of Okra by Using Response Surface Planes

Year 2025, Volume: 8 Issue: 6, 785 - 790, 15.11.2025
https://doi.org/10.47115/bsagriculture.1686701

Abstract

This study employs the Response Surface Methodology (RSM) with a Central Composite Design (CCD) to optimize the hybrid solar drying process. Sixteen experimental runs were conducted based on three key input variables, leading to the formulation of a second-order regression model that explains the effects of these parameters on drying duration and energy consumption. Using data analysis via Minitab software, the optimal conditions were identified to achieve a final product moisture content of 15% (wet basis) while minimizing drying time and energy usage. The results revealed that energy demand increases with greater slice thickness, drying temperature, and air velocity, whereas drying time rises with slice thickness but decreases with increasing temperature and airflow. High agreement was found between the predictive models and experimental observations, with R² values of 99.3% for drying time and 99.8% for energy consumption. The optimal drying conditions were 40 °C air temperature, 11.5 mm slice thickness, and 1.02 m/s air velocity.

Ethical Statement

Ethics committee approval was not required for this study because there was no study on animals or humans.

References

  • Acquistucci R, Francisci R. 2002. Effect of okra (Hibiscus esculentus L.) addition on the technological properties of a wheat flour. Int J Food Sci Nutr, 53(5): 375-379.
  • Benseddik A, Allaf AK, Azzi A, Zidoune MN. 2016. Optimization of the operating conditions of pumpkin drying by hot air dryer using the response surface method. In: The 4nd International Seminar on New and Renewable Energies, October 24-25, Ghardaïa, Algérie, pp: 7.
  • Boughali S. 2010. Study and optimization of solar drying of agri-food products in arid and desert areas. PhD Thesis, Université de Biskra, pp: 137.
  • Doymaz I. 2005. Drying characteristics and kinetics of okra. J Food Eng, 69(3): 275-279.
  • Hamon S, Charrier A. 1997. Le gombo. In: Tropical Plant Breeding. CIRAD/ORSTOM, Montpellier, France, pp: 313-333.
  • Jiokap Nano Y, Telewo N, Nanko NL, Kapseu C. 2021. Study of the drying kinetics of okra (Abelmoschus esculentus L.): Influence of washer size, drying temperature, pre-treatment and variety. The 1st International Conference on Local Resource Exploitation, LOREXP, april 20-23, Ngaoundere, Camerun, pp: 426-446.
  • Kemmene Dapabko S, Jiokap Nano Y, Arebga AW, Kapseu C, Puiggali JR. 2021. Determination and modeling of sorption isotherms of okra (Abelmoschus esculentus L. Moench) and sweet green pepper (Capsicum annuum L. Moench). J Biosyst Eng, 46(2): 60-80.
  • Kone Y. 2011. Quality improvement of tomato dried by microwave hot air with power density control. PhD Thesis, AgroParisTech; Félix Houphouët-Boigny National Polytechnic Institute, Yamoussoukro, Ivory Coast, pp: 57.
  • Ndukwu MC. 2009. Effect of drying temperature and velocity on the drying rate and drying constant of cocoa bean. Agric Eng Int: CIGR J, 11: 1-6.
  • Nguyen TT. 2015. Experimental study and modeling of vegetable and fruit drying. PhD Thesis, Process Eng Univ South Brittany, French, pp: 104.
  • Seiiedlou S, Ghasemzadeh HR, Hamdami N, Talati F, Moghaddam M. 2010. Convective drying of apple: Mathematical modeling and determination of some quality parameters. Int J Agric Biol, 12(2): 171-178.
  • Sharma S, Mbanya JC, Cruickshank K, Cade N, Tanya AKN, Cao X, Hurbos M, Wong MRKM. 2007. Nutritional composition of commonly consumed composite dishes from the central Province of Cameroon. Int J Food Sci Nutr, 58(6): 475-487.
There are 12 citations in total.

Details

Primary Language Turkish
Subjects Agricultural Machine Systems
Journal Section Research Articles
Authors

Hatice Dilaver 0000-0002-4484-5297

Kamil Fatih Dilaver 0000-0001-7557-9238

Early Pub Date November 14, 2025
Publication Date November 15, 2025
Submission Date April 29, 2025
Acceptance Date September 9, 2025
Published in Issue Year 2025 Volume: 8 Issue: 6

Cite

APA Dilaver, H., & Dilaver, K. F. (2025). Optimization of Hybrid Solar Drying of Okra by Using Response Surface Planes. Black Sea Journal of Agriculture, 8(6), 785-790. https://doi.org/10.47115/bsagriculture.1686701

                                                  24890