Analytical Chemistry Data for Phytochemical Profiling of Multiple Batches of Commercial Honey Samples

The research was designed on the hypothesis that comprehensive chromatographic profiling of honey can reliably characterize phytochemical constituents and sugar composition, thereby serving as a robust indicator of sample quality and compositional consistency. The deposited dataset comprises raw chromatographic files generated from the quantitative analysis of phytocompounds and sugars in multiple honey samples, acquired using standardized, validated chromatographic methods under carefully controlled experimental conditions. The data exhibit distinct, well-resolved, and reproducible chromatographic profiles across all samples, allowing clear separation, identification, and quantification of major sugars and key phenolic compounds. Comparative evaluation highlights compositional similarity among batches, with sugar profiles consistently falling within acceptable regulatory limits and the presence of characteristic phytochemical markers associated with honey quality. Collectively, this dataset provides a transparent and traceable resource for analytical verification, comparative assessment, and further investigations into honey composition, quality evaluation, and authenticity-related studies.本研究基于如下研究假说：对蜂蜜开展全面色谱轮廓分析（chromatographic profiling），可可靠地表征其植物化学成分与糖组分构成，进而作为样本质量及组成一致性的稳健表征指标。本存档数据集包含对多份蜂蜜样本中的植物源化合物与糖类进行定量分析所生成的原始色谱文件，该分析采用经标准化验证的色谱方法，并在严格控制的实验条件下完成。所有样本的检测数据均呈现出清晰、分离度良好且可重现的色谱轮廓，可实现主要糖类与关键酚类化合物的明确分离、鉴定及定量分析。对比评估结果显示，各批次样本的组成具有高度相似性，其糖组分谱图始终处于可接受的监管限值范围内，且存在与蜂蜜品质相关的特征性植物化学标记物。综上，本数据集可为蜂蜜组成分析、品质评价及真实性相关研究提供透明可追溯的资源，用于分析验证、对比评估及后续相关研究。