Detection Method for Authenticity Assessment of Malaysian Tualang Honey Using Absorbance and Transmittance Analysis with combination of Application of Artificial Neural Network - Optical Properties (ANN-OP) Classification

Authors

  • Mohd Hazlan Zakaria Universiti Tun Hussein Onn Malaysia
  • Muhammad Mahadi Abdul Jamil Universiti Tun Hussein Onn Malaysia
  • Wan Suhaimizan Wan Zaki Universiti Tun Hussein Onn Malaysia
  • Ariffudin Joret Universiti Tun Hussein Onn Malaysia
  • Noor Azwan Shairi Universiti Teknikal Malaysia Melaka

Keywords:

Pure honey, diluted honey, absorbance, transmittance, wavelength, optical system

Abstract

Honey is a highly valued natural sweetener, frequently subjected to adulteration due to its economic importance. It is commonly consumed for its perceived health benefits and as a substitute for refined sugar in a wide range of food products. In Malaysia, the widespread availability of diluted honey poses a significant challenge in distinguishing between pure and adulterated forms. This study presents a simple spectrophotometric approach using absorbance and transmittance measurements to differentiate honey authenticity. Eight honey samples, both pure and adulterated, were analysed. Results showed that the darker honey samples exhibit higher absorbance values, while lighter samples demonstrate faster signal responses in transmittance measurements. Optimal wavelengths were identified at 480 nm for absorbance and 630 nm for transmittance. These wavelength-specific responses provide an effective means of identifying adulterated honey. This method offers a practical solution for consumers and industry professionals seeking to verify honey purity, especially for health and dietary applications.

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Published

30-06-2026

Issue

Section

Articles

How to Cite

Zakaria, M. H., Abdul Jamil , M. M. ., Wan Zaki , W. S. ., Joret , A. ., & Noor Azwan Shairi. (2026). Detection Method for Authenticity Assessment of Malaysian Tualang Honey Using Absorbance and Transmittance Analysis with combination of Application of Artificial Neural Network - Optical Properties (ANN-OP) Classification. Journal of Electronic Voltage and Application, 7(1), 28-44. https://publisher.uthm.edu.my/ojs/index.php/jeva/article/view/22269