Document Type : Original Article

Authors

1 Department of Mechanical Engineering of Biosystems, Faculty of Agriculture, Shahrekord University, Shahrekord, Iran

2 Shahrekord University

3 Assistant professor, Department of Mechanical Engineering of Biosystems, Faculty of Agriculture, Shahrekord University

4 Associate professor, Department of Mechanical Engineering of Biosystems, Faculty of Agriculture, Shahrekord University

5 Associate professor, Department of Agricultural Machinery and Mechanization Engineering, Faculty of Agricultural Engineering and Rural Development, Agricultural Sciences and Natural Resources University of Khuzestan

Abstract

Determination of sugar concentration of sugar beet in sugar factories is of great importance and is a basis for valuation of the sugar beet as well as assessment of the sugar production process in the factory. In this study with the aim of development of a non-destructive method for measurement of the sugar concentration of sugar beet in terms of Brix, a proximal dielectric sensor was developed and evaluated. This sensor is an open-end coaxial probe consisting of two metallic concentric ring electrodes which is connected to function generator and spectrum analyzer through coaxial cables. One hundred random samples of sugar beet were selected and measured by the dielectric sensor. Dielectric spectra i.e. amplitude as a function of frequency were obtained in the frequency range of 0-150 MHz. The reference Brix was measured with extracting juice from the points of dielectric measurement using a refractometer. The results showed that in the ranges of 30-50 and 120-140 MHz, the dielectric spectra varied noticeably in relation with variations in sugar beet Brix so that the amplitude decreased with increasing the Brix. The partial least square regression (PLSR) method could model the Brix as a function of the dielectric spectra variables with R2= 0.81 and RMSE of 0.72 Brix. The results of the study indicated that the dielectric sensor and measurement method was a simple and reliable method for non-destructive measuring of sugar beet Brix.

Keywords

 
Aghaei sadi, M., Minaei, S., Jamshidi, B., & Abdollahian Noghabi, M. (2018). Non-destructive evaluation of sugar content using a combination of near-infrared spectroscopy (NIRS) and chemometrics methods. Iranian Journal of Biosystems Engineering, 49(1), 9-18. (in Persian)
Alomar, S., Mireei, S. A., Hemmat, A., Masoumi, A. A., & Khademi, H. (2021). Comparison of Vis/SWNIR and NIR spectrometers combined with different multivariate techniques for estimating soil fertility parameters of calcareous topsoil in arid climate. Biosystems Engineering, 201, 50-66
Anon. (2021). Statistical yearbook 2021. Food and Agricultural Organization of United Nations. Rome.
Bagheri, R., Mireei, S. A., Sadeghi, M., Masoumi, A., & Moomkesh, Sh. (2014). Non-destructive dielectric
method to measure moisture of date. Iranian Journal of Biosystems Engineering, 45(2): 97-104. (in Persian)
Bagherpour, H., & Mohammadi Monovar, H. (2017). Non-destructive determinaion of moisture content and brix value in carrot using near infrared spectroscopy (NIRS). Biosystems Engineering, 48(1), 1-7.
(in Persian)
Bagherpour, H., Minaei, S., Abdollahian Noghabi, M., & Khorasani Fardvani, M. E. (2014). Non-destructive determination of sugar content in root beet by near infrared spectroscopy (NIRS). Iranian Journal of Food Science and Technology, 12(46), 219-228. (in Persian)
Bahrami. M. E., Honarvar, M., Ansari, K., & Jamshidi, B. (2020). Measurement of quality parameters of sugarbeet juices using near-infrared spectroscopy and chemometrics. Journal of Food Engineering. 271, 109775
Bhosale, A. A. 2017. Detection of sugar content in citrus fruits by capacitance method. Procedia Engineering, 181, 466-471
Deby, P. (1929). Polar molecules. Dover Pub. Inc. New Yourk 60.
Hayati, A., Raofat, M. H., Kamgar, S., & Jahani, F. (2018). Feasability of using electrical capacitance for determining the fruit ripeness of apple. Biosystems Engineering, 46(2): 195-203. (in Persian)
Hoog, N. A., Olthuis, W., Mayer, M. J. J., Yntema, D., Miedema, H., & Van-Den-Berg, A. (2012). On-line fingerprinting of fluids using coaxial stub resonator technology. Sensors and Actuators B: Chemical, 163, 90-96.
Fazayeli, A., Kamgar, S., Nassiri, S. M., Fazayeli, H., & Guardia M. D. L. (2019). Dielectric spectroscopy as a potential technique for prediction of kiwifruit quality indices during storage. Information Processing in Agriculture, 6(4), 479-486.
Gregory, A. P., Seppala, J., & Lahtinen, T. (2017). Open-ended coaxial dielectric probe effective penetration depth determination. IEEE Transactions of Microwave Theory and Technology, 64(3), 915-923.
Haghshenas, A., Mireei, S. A., Sadeghi, M., & Nazeri, M. (2019). Nondestructive firmness estimation of tomato fruit using near infrared spectroscopy. Journal of Crop Production and Processing, 9(3),
113-123. (in Persian)
Hoog, N. A. (2014). Stub resonators transmission line based water sensors (Ph. D. Thesis), University of Twente. The Netherlands
Anon. (2022). Iranian Sugar Factories Syndicate (INFS). http://ISFS.ir.
Jha, S. N., Narsaiah, K., & Basediya, A. L. (2011). Measurement techniques and application of electrical properties for nondestructive quality evaluation of foods- a review. Journal of Food Science and Technology, 48(4), 387-411.
Khalilian, H., Ghasemi-Varnamkhasti, M., Naderi-Boldaji, M., & Rostami, S. (2017). Developing and testing of a cylindrical dielectric sensor for measuring sugar concentration of sugar beet syrup. Iranian Journal of Biosystems Engineering, 48(1), 137-144. (in Persian)
Li, X., He, Y., Wu, C., & Sun, D. (2007). Nondestructive measurement and fingerprint analysis of soluble solid content of tea soft drink based on vis/nir spectroscopy. Journal of Food Engineering, 82, 316-323.
Mesbahi, G. (2015). Fundamentals of sugar processing technology. Nashr Iran Press, Iran. (in Persian)
Moomkesh, Sh., Mireei, S. A., Sadeghi, M., & Nazeri, M. (2016). Non-destructive prediction of quality parameters of sweet lemon (citrus limetta) by VIS/SWNIR spectroscopy. Biosystems Engineering, 47(4), 603-613. (in Persian)
Mireei, A., Bagheri, R., Sadeghi, M., & Shahraki, A. (2016). Developing an electronic portable device based on dielectric power spectroscopy for nondestructive prediction of date moisture content. Sensors and Actuators A. Physical, 247, 289- 297. (in Persian)
Naderi-Boldaji, M., Fazeliyan-Dehkordi, M., Mireei, S. A., & Ghasemi-Varnamkhasti, M. (2015). Dielectric power spectroscopy as a potential technique for the non-destructive measurement of sugar concentration in sugarcane. Biosystems Engineering, 140, 1-10.
Nelson, S. O. (2006). Agricultural applications of dielectric measurements. IEEE Transactions on Dielectrics and Electrical Insulation, 13, 688-702.
Nelson, S. O., & Trabelsi, S. (2012). Factors influencing the dielectric properties of agricultural and food products. Journal of Microwave Power and Electromagnetic Energy, 46(2), 93-107.
Williams, P. C., & Norris, K. (2001). Near-infrared technology in the agricultural and food industry. St. Paul, MN: American Association of Cereal Chemists, Inc.
Zaki Dizaji, H., Adibzadeh, A., & Aghili Nategh, N. (2020). Application of E-nose technique to predict sugarcane syrup quality based on purity and refined sugar percentage. Journal of Food Science and Technology, 58, 4149-4156.