Feasibility study on detecting different types of sugar solutions using a dielectric resonator sensor

Document Type : Research Article

Authors

1 Graduated master student, Department of Biosystems Engineering, Faculty of Agriculture, Shahrekord University

2 Department of Biosystems Engineering, Faculty of Agriculture, Shahrekord University

Abstract

< p >< p >< p >One of the most important ingredients of most foods is sugar, so it is important to detect the type of sugar in foods. In this study, a cylindrical dielectric sensor using a function generator and a spectrum analyzer was used to measure dielectric spectra in the range of 0-150 MHz to detect different sugars in water-sugar solutions. Dielectric spectra were investigated by preparing a variety of water-sugar solutions including glucose, sucrose, fructose, invert, high fructose corn syrup and malt extract (dominantly maltose sugar) in four brix levels ranged within 3-12. Moreover, samples were tested with mixing the sugars in a solution. The statistical method of principal component analysis (PCA) was evaluated for detecting and discriminating different types of sugars from dielectric spectral data. PCA with two principal components PC1 and PC2, showed a distinct separation of sugars in three visual groups of sucrose and high fructose corn syrup, fructose and invert and glucose and malt. Irrespective of glucose, the mixed sugar solutions were discriminated from single sugar solutions in two groups. The results of this study showed a promising potential of dielectric method for detecting different sugars, however, the cumulative dielectric effect of the mixed sugars was not discriminable which is expected to be detected with greater range of frequency.

Graphical Abstract

Feasibility study on detecting different types of sugar solutions using a dielectric resonator sensor

Highlights

  • Evaluation of dielectric spectroscopy method using a cylindrical resonator for detection of different sugar solutions in food liquids
  • The possibility of detection and discrimination of sucrose, glucose, fructose, invert, high fructose corn syrup and barely malt in three distinct groups Discrimination of single-sugar and mixed sugar-malt solutions in two distinct groups

Keywords


[1] Bagherzadeh, Gh., & Manzary tavakoli, M. (2017). Identification of two new sugars in saffron wastes using gas chromatography-mass spectrometry. J. Saffron Res., 5(1), 90-99. [In Persian]
 [2] Akbari-Adergani, B., Naghavi, S., & Shirkhan, F. (2018). Comparative evaluation of major carbohydrates in classic and flavored non-alcoholic beers by high performance liquid chromatography and refractive index detection. J. Health Res. Commun., 4(3), 79-90. [In Persian]
[3] Ferreira I. M., & Martins F. (2007). Carbohydrate content of lager and ale beer. Food Ind. Human., 13(1), 26-30.
[4] Rajalakshmi, G., Gopal, A., Kumar, A., & Kumar, A. D. (2017). Identification of moisture, glucose, sucrose, fructose region in honey sample using NIR spectroscopy. 3rd International Conference on Sensing Signal Processing and Security. 4-5 May. Chennai, India
[5] Lijuan, X., Xingqian, Y., Donghong, L., & Yibin, Y. (2009). Quantification of glucose, fructose and sucrose in bayberry juice by NIR and PLS. Food Chem., 114, 1135–1140.
[6] Lee, D. K., Kang, J. H., Lee, J. S., Kim, H. S., Kim, C., Kim, J., Lee, T., Son, J. H., & Seo, M. (2015). Highly sensitive and selective sugar detection by terahertz nanoantennas. Sci. Rep., 5, 15459.
[7] Alshami, A. S. (2007). Dielectric properties of Biological Materials: A Physical Chemical Approach. Ph.D. Thesis. College of Engineering and Architecture. Washington State University. USA.
[8] Khalilian, H., Ghasemi-Varnamkhasti, M., NaderiBoldaji, M., & Rostami, S. (2017). Developing and testing of a cylindrical dielectric sensor for measuring sugar concentration of sugar beet syrup. Iranian J. Biosyst. Eng., 48(1), 144-137. [In Persian]
[9] Ghasemi-Varnamkhasti, M., Ghatreh-Samani, N., Naderi-Boldaji, M., Forina, M., & Bonyadian, M. (2017). Development of two dielectric sensors coupled with computational techniques for detecting milk adulteration. Comput.Electron. Agric., 140, 266–278.
[10] Naderi-Boldaji, M., Mishra, P., Ahmadpour-Samani, M., Ghasemi-Varnamkhasti, M., Ghanbarian, D., & Izadi, Z. (2018). Potential of two dielectric spectroscopy techniques and chemometric analyses for detection of adulteration in grape syrup. Meas., 127, 518–524.
 [11] Naderi-Boldaji, M., Mokhtari, M., Ghasemi-Varnamkhasti, M., & Tohidi, M. (2018). Feasibility study of using a cylindrical resonator sensor to detect fraud in sesame oil. J. New Food Technol., 6, 409-420. [In Persian]
 [12]  Naderi-Boldaji, M., Fazeliyan-Dehkordi, M., Mireei, S. A., & Ghasemi-Varnamkhasti, M. (2015). Dielectric power spectroscopy as a potential technique for the nondestructive measurement of sugar concentration in sugarcane. Biosyst. Eng., 140, 1-10.
[13] Jackson, B., & Jayanthy, T. (2015). Determination of sucrose in raw sugarcane juice by microwave method. Indian J. Sci. Technol., 7, 566- 570.
[14] Angkawisittpan, N., & Manasri, T. (2012). Determination of sugar content in sugar solutions using interdigital capacitor sensor. Meas. Sci. Rev., 12, 8- 13.
[15] Ghasemi-Varnamkhasti, M., Mohtasebi, S. S., Siadat, M., Ahmadi, H., & Razavi, S. H. (2015). From simple classification methods to machine learning for the binary discrimination of beers using electronic nose data. Eng. Agric. Environ. Food., 8, 44-51.
[16] Hoog-Antonyuk, 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. Sens. Actuators. B Chem., 163(1), 90-96.
 [17 ] Hoog, N.A. (2014). Stub resonators transmission line based water sensors. PhD Thesis. University of Twente. The Netherlands.
[18] Guo, W., Fang, L., Liu, D., & Wang, Zh. (2015). Determination of soluble solids content & firmness of pears during ripening by using dielectric spectroscopy. Comput. Electron. Agric., 117, 226-233.