| Issue |
E3S Web Conf.
Volume 681, 2025
4th Energy Security & Chemical Engineering Congress (ESChE 2025)
|
|
|---|---|---|
| Article Number | 02009 | |
| Number of page(s) | 8 | |
| Section | Biomass, Agrowaste Valorization and Bio-Based Products | |
| DOI | https://doi.org/10.1051/e3sconf/202568102009 | |
| Published online | 22 December 2025 | |
Spectroscopic Analysis of Raw Stingless Bee Honey for Freshness Evaluation
1 FTKEE, Universiti Malaysia Pahang Al-Sultan Abdullah (UMPSA), Pekan, Pahang, Malaysia.
2 FKE, University of Technology Malaysia (UTM), Skudai, Malaysia.
3 Bukit Rangin Secondary School (BRASS), 25150 Kuantan, Pahang, Malaysia.
Stingless bee also known as Kelulut produces honey that is highly valued for its distinctive taste and therapeutic properties. Therefore, quality assessment is essential for both consumers and producers. Conventional methods for evaluating honey quality are often time consuming and reagent-dependent. This study investigates ultraviolet (UV) spectroscopy as a rapid, non-destructive technique for assessing the quality of raw Kelulut honey. Absorbance spectra were recorded in the 200–1100 nm range using a Maya2000 Pro spectrometer as a detector and a DH-2000-BAL Deuterium-Halogen light source. The spectrum analysis was performed via SpectraSuite software. Particular attention was given to the 284 nm peak, corresponding to 5-hydroxymethylfurfural (HMF), a recognized marker of honey degradation. The results revealed a strong correlation between increased absorbance at 284 nm and elevated HMF levels, demonstrating the method’s effectiveness in tracking quality deterioration. Unlike conventional techniques, the approach requires no chemical reagents, enables real-time monitoring, and offers portability for field applications. Overall, UV spectroscopy provides a reliable, cost-effective solution for objective and efficient evaluation of Kelulut honey quality.
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.

