Res. Agr. Eng., 2023, 69(3):143-150 | DOI: 10.17221/97/2022-RAE

Study on drying of bitter gourd slices based on halogen dryerOriginal Paper

Dinh Anh Tuan Tran, Tuan Nguyen Van, Dinh Nhat Hoai Le, Thi Khanh Phuong Ho
Faculty of Heat and Refrigeration engineering, Industrial University of Ho Chi Minh city, Ho Chi Minh city, Viet Nam

In this study, the drying of bitter gourd slices with a halogen dryer was done at different thicknesses of bitter gourd (3, 5, and 7 mm) and temperatures (60, 65, and 70 °C). The effect of varying drying characteristics in the experiment was explored. Experimental results were evaluated based on the drying time and moisture content. The results indicate that the material drying thickness and drying temperature significantly impact the drying time and the equilibrium moisture content. Furthermore, the Multivariate Adaptive Regression Splines (MARS) model is also used to train and predict the moisture content of bitter gourd in this research. The temperature, thickness of the bitter gourd, and drying time were used as input parameters for the model. Two measures R2 and Root Mean Ssquare Error (RMSE) were used to determine the accuracy of the trained MARS model. During training, the values of R2 and RMSE obtained were 0.9846 and 3.7324, respectively. The test of trained MARS was successful, with a satisfactory correlation between experimental data points and predicted points. The results show that MARS can accurately predict the moisture content of bitter gourd in a halogen dryer.

Keywords: ANN; drying temperature; machine learning; MARS model; moisture content

Accepted: March 20, 2023; Prepublished online: August 21, 2023; Published: September 3, 2023  Show citation

ACS AIP APA ASA Harvard Chicago Chicago Notes IEEE ISO690 MLA NLM Turabian Vancouver
Tran DAT, Van TN, Le DNH, Ho TKP. Study on drying of bitter gourd slices based on halogen dryer. Res. Agr. Eng. 2023;69(3):143-150. doi: 10.17221/97/2022-RAE.
Share...
Download citation
  • BibTeX (.bib)
  • Bookends (.ris)
  • EasyBib (.ris)
  • EndNote (.enw)
  • EndNote 8 (.xml)
  • ISI WoS (.isi)
  • Medlars (.medlars)
  • Mendeley (.ris)
  • MODS (.xml)
  • Papers (.ris)
  • RefWorks (.txt)
  • RefManager (.ris)
  • RIS (.ris)
  • MS Word (.xml)
  • Zotero (.ris)
    • Open full article

    References

    1. Abano E.E. (2016): Kinetics and quality of microwave-assisted drying of mango (Mangifera indica). International Journal of Food Science, 2016: 2037029. Go to original source... Go to PubMed...
    2. Adonis M., Khan M.T.E. (2004): Combined convective and infrared drying model for food applications. In: Proceedings of the IEEE AFRICON Conference, Gaborone, Botswana, Sep 2004: 1049-1052. Go to original source...
    3. Ahmed N., Singh J., Chauhan H., Anjum P.G.A., Kour H. (2013): Different drying methods: Their applications and recent advances. International Journal of Food Nutrition and Safety, 4: 34-42.
    4. Biswas I., Mandal S., Samadder M., Mukherjee S., Chandra B., Viswavidyalaya K., Bengal W. (2018): Drying characteristics of bitter gourd (Momordica charantia). Journal of Crop and Weed, 14: 111-116.
    5. Dey P., Das A.K. (2016): Application of multivariate adaptive regression spline-assisted objective function on optimization of heat transfer rate around a cylinder. Nuclear Engineering and Technology, 48: 1315-1320. Go to original source...
    6. Friedman J.H. (1991): Multivariate adaptive regression splines. The Annals of Statistics, 19: 1-67. Go to original source...
    7. Hebbar H.U., Vishwanathan K.H., Ramesh M.N. (2004): Development of combined infrared and hot air dryer for vegetables. Journal of Food Engineering, 65: 557-563. Go to original source...
    8. Heinze P., Isengard H.-D. (2001): Determination of the water content in different sugar syrups by halogen drying. Food Control, 12: 483-486. Go to original source...
    9. Jin W., Zhang M., Shi W. (2019): Evaluation of ultrasound pretreatment and drying methods on selected quality attributes of bitter melon (Momordica charantia L.). Drying Technology, 37: 387-396. Go to original source...
    10. Kadirgan F., Çiftçioğlu G.A., Kadirgan M.A.N., Kaynak G. (2020): Smart agriculture through using cost-effective and high-efficiency solar drying. Heliyon, 6: e03357. Go to original source... Go to PubMed...
    11. Kisi O. (2015): Pan evaporation modeling using least square support vector machine, multivariate adaptive regression splines and M5 model tree. Journal of Hydrology, 528: 312-320. Go to original source...
    12. Limpaiboon K. (2011): Effects of temperature and slice thickness on drying Kinetics of pumpkin slices. Walailak Journal of Science and Technology, 8: 159-166.
    13. Ling B., Lyng J.G., Wang S. (2018): Radio-frequency treatment for stabilization of wheat germ: Dielectric properties and heating uniformity. Innovative Food Science & Emerging Technologies, 48: 66-74. Go to original source...
    14. Movagharnejad K., Nikzad M. (2007): Modeling of tomato drying using artificial neural network. Computers and Electronics in Agriculture, 59: 78-85. Go to original source...
    15. Ocoró-Zamora M.U., Ayala-Aponte A.A. (2013): Influence of thickness on the drying of papaya puree (Carica papaya L.) through refractance windowtm technology. DYNA, 80: 147-154.
    16. Planiniĉ M., Veliĉ D., Tomas S., Bilic M., Buciĉ-Kojiĉ A. (2005): Modelling of drying and rehydration of carrots using Peleg's model. European Food Research and Technology, 221: 446-451. Go to original source...
    17. Sadin R., Chegini G.-R., Sadin H. (2014): The effect of temperature and slice thickness on drying kinetics tomato in the infrared dryer. Heat and Mass Transfer, 50: 501-507. Go to original source...
    18. Septien S., Mirara S.W., Makununika B.S.N., Singh A., Pocock J., Velkushanova K., Buckley C.A. (2020): Effect of drying on the physical and chemical properties of faecal sludge for its reuse. Journal of Environmental Chemical Engineering, 8: 103652. Go to original source... Go to PubMed...
    19. Sumnu G., Turabi E., Oztop M. (2005): Drying of carrots in microwave and halogen lamp - microwave combination ovens. LWT - Food Science and Technology, 38: 549-553. Go to original source...
    20. Wargovich M.J. (2000): Anticancer properties of fruits and vegetables. HortScience, 35: 573-575. Go to original source...
    21. Yan J.-K., Wu L.-X., Qiao Z.-R., Cai W.-D., Ma H. (2019): Effect of different drying methods on the product quality and bioactive polysaccharides of bitter gourd (Momordica charantia L.) slices. Food Chemistry, 271: 588-596. Go to original source... Go to PubMed...
    22. Yasmin S., Hasan M., Sohany M., Sarker M.S.H. (2022): Drying kinetics and quality aspects of bitter gourd (Momordica charantia) dried in a novel cabinet dryer. Food Research, 6: 180-188. Go to original source...
    23. Zhang W. G., Goh A.T.C. (2013): Multivariate adaptive regression splines for analysis of geotechnical engineering systems. Computers and Geotechnics, 48: 82-95. Go to original source...
    24. Zhang W., Goh A.T.C. (2016): Multivariate adaptive regression splines and neural network models for prediction of pile drivability. Geoscience Frontiers, 7: 45-52. Go to original source...

    This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International (CC BY NC 4.0), which permits non-comercial use, distribution, and reproduction in any medium, provided the original publication is properly cited. No use, distribution or reproduction is permitted which does not comply with these terms.


    Return to the content