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<p>Honey adulteration poses a growing challenge in food safety and quality assurance, particularly regarding naturally sourced products like polyfloral honey from the Sundarbans mangrove forest. The present study aimed to detect adulteration in polyfloral honey sourced from the Sundarbans Mangrove Forest using UV-Vis spectroscopy. Four kinds of pure honey (Goran, Kholisha, Kewra, and Bain-Gewya) were collected from various regions of the Sundarbans mangrove forest, in addition to pure and three adulterated kinds of honey (10%, 20%, 30% syrup) with replication of three of each, totalling 48 samples produced by adding sugar. This study examined raw spectroscopic data within the range of 200 to 600&#xa0;nm, utilizing Principal Component Analysis (PCA) to identify significant absorbance patterns and differentiate between pure and adulterated honey samples. The spectra of a total of 48 honey samples were employed to identify peaks and determine the presence of specific chemicals. The PCA analysis created clusters of all pure honey samples from the adulterated ones. This technique is a cost-effective solution and offers a sensible means to guarantee the quality of honey from this ecologically significant region.</p>

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Adulteration detection in polyfloral honey from the Sundarbans mangrove forest using UV-Vis spectroscopy

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年3月31日

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  • Aroni Preya Biswas,
  • Sagar Chandra Das,
  • Disha Mallick,
  • Md. Nahidul Islam,
  • Md. Mamunur Rahman

摘要

Honey adulteration poses a growing challenge in food safety and quality assurance, particularly regarding naturally sourced products like polyfloral honey from the Sundarbans mangrove forest. The present study aimed to detect adulteration in polyfloral honey sourced from the Sundarbans Mangrove Forest using UV-Vis spectroscopy. Four kinds of pure honey (Goran, Kholisha, Kewra, and Bain-Gewya) were collected from various regions of the Sundarbans mangrove forest, in addition to pure and three adulterated kinds of honey (10%, 20%, 30% syrup) with replication of three of each, totalling 48 samples produced by adding sugar. This study examined raw spectroscopic data within the range of 200 to 600 nm, utilizing Principal Component Analysis (PCA) to identify significant absorbance patterns and differentiate between pure and adulterated honey samples. The spectra of a total of 48 honey samples were employed to identify peaks and determine the presence of specific chemicals. The PCA analysis created clusters of all pure honey samples from the adulterated ones. This technique is a cost-effective solution and offers a sensible means to guarantee the quality of honey from this ecologically significant region.