Honey-Water Content Analysis by Mixing Models Using a Self-Calibrating Microwave Method

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Hasar H., Hasar U. C., Kaya Y., Ozturk H., Izginli M., Öztaş T., ...Daha Fazla

IEEE TRANSACTIONS ON MICROWAVE THEORY AND TECHNIQUES, cilt.71, sa.2, ss.691-697, 2023 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 71 Sayı: 2
  • Basım Tarihi: 2023
  • Doi Numarası: 10.1109/tmtt.2022.3208024
  • Dergi Adı: IEEE TRANSACTIONS ON MICROWAVE THEORY AND TECHNIQUES
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, PASCAL, Aerospace Database, Applied Science & Technology Source, Business Source Elite, Business Source Premier, Communication Abstracts, Compendex, Computer & Applied Sciences, INSPEC, Metadex, Civil Engineering Abstracts
  • Sayfa Sayıları: ss.691-697
  • Anahtar Kelimeler: Permittivity measurement, Microwave measurement, Electromagnetic waveguides, Microwave theory and techniques, Liquids, Calibration, Time measurement, Adulteration, binary mixing models, honey, microwave techniques, self-calibration, water content analysis, COMPLEX PERMITTIVITY DETERMINATION, INDEPENDENT METHOD, OPTICAL-PROPERTIES, REFLECTION, RETRIEVAL, CONSTANT, LIQUID
  • Atatürk Üniversitesi Adresli: Evet

Özet

Microwave techniques, as an indirect approach, can be applied for analyzing water content in honey by way of permittivity measurements. However, these techniques require proper calibration to accurately perform such indirect evaluation. Improper calibration standards used in this calibration process could naturally result in a reduction in the accuracy and thus the performance of dielectric characterization using microwaves. Self-calibrating microwave techniques can reduce the effects of imprecise standards and thus improve the performance of microwave measurements by bypassing the requirement of calibration standards. In this study, we develop a self-calibrating microwave measurement technique to determine the relative permittivity of honey samples and implement binary mixing models to predict adulteration levels of water-adulterated honey. From this implementation, it is observed that the parallel-capacitance mixing model could efficiently be applied to determine the concentration of water adulteration by examining the differences between absolute values of the real parts of the measured and predicted complex permittivities of adulterated honey.