Abbas Alimoradian, Nafiseh Khansari, Mahdi Abdollahi, Behnoosh Ansari Asl, Sonia Asadi, Akbar Yousefi Maghool, Arash Rabiei, Ali Khademi, Mohsen Shamsi
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引用次数: 0
Abstract
Objective: This study assesses the comparative performance of Isotope Ratio Mass Spectrometry (IRMS) and conventional techniques in detecting honey adulteration. Standard analytical methods, in accordance with ISIRI guidelines, were evaluated alongside δ13C isotopic analysis via IRMS across a dataset of 20 honey samples. Conventional analytical techniques were employed to evaluate parameters such as pre-hydrolysis reducing sugars, sucrose content, the fructose-to-glucose ratio, proline, and hydroxymethylfurfural (HMF). The advanced IRMS technique was utilized to determine δ13C values for glucose with high accuracy and sensitivity. The carbohydrate profile of honey, including glucose, fructose, disaccharides, and trisaccharides, was analyzed using LC/IRMS. A comparative assessment of both methods was conducted on twenty honey samples, following ISIRI guidelines.
Results: While conventional methods met ISIRI criteria in 18 out of 20 samples, IRMS produced contrasting findings-only 2 samples were identified as genuine and free from adulteration. Statistical evaluation using Prism software revealed a significant discrepancy between the two techniques, with a p-value < 0.05, indicating stronger confidence in IRMS results. The findings highlight the necessity of reconsidering current protocols for honey adulteration detection in order to preserve the purity and credibility of this high-value natural product.
BMC Research NotesBiochemistry, Genetics and Molecular Biology-Biochemistry, Genetics and Molecular Biology (all)
CiteScore
3.60
自引率
0.00%
发文量
363
审稿时长
15 weeks
期刊介绍:
BMC Research Notes publishes scientifically valid research outputs that cannot be considered as full research or methodology articles. We support the research community across all scientific and clinical disciplines by providing an open access forum for sharing data and useful information; this includes, but is not limited to, updates to previous work, additions to established methods, short publications, null results, research proposals and data management plans.