This study aimed to evaluate the potential of FT-Raman spectroscopy in the prediction of the chemical composition of Lavandula spp. monofloral honey. Partial Least Squares (PLS) regression models were performed for the quantitative estimation and the results were correlated with those obtained using reference methods.

Good calibration models were obtained for electrical conductivity, ash, total acidity, pH, reducing sugars, hydroxymethylfurfural (HMF), proline, diastase index, apparent sucrose, total flavonoids content and total phenol content. On the other hand, the model was less accurate for pH determination. The calibration models had high r² (ranging between 92.8% and 99.9%), high residual prediction deviation - RPD (ranging between 4.2 and 26.8) and low root mean square errors.

These results confirm the hypothesis that FT-Raman is a useful technique for the quality control and chemical properties’ evaluation of Lavandula spp honey. Its application may allow improving the efficiency, speed and cost of the current laboratory analysis.

这项研究旨在评估FT拉曼光谱在预测Lavandula spp的化学成分方面的潜力。单花蜂蜜。使用偏最小二乘（PLS）回归模型进行定量估计，并将结果与​​使用参考方法获得的结果进行关联。

获得了良好的电导率，灰分，总酸度，pH，还原糖，羟甲基糠醛（HMF），脯氨酸，淀粉酶指数，表观蔗糖，总黄酮含量和总酚含量的校准模型。另一方面，该模型对于pH值测定的准确性较差。校准模型具有较高的r ²（介于92.8％和99.9％之间），较高的残留预测偏差RPD（介于4.2和26.8之间）和较低的均方根误差。

这些结果证实了以下假设，即FT-拉曼光谱是一种用于薰衣草属蜂蜜的质量控制和化学性质评估的有用技术。它的应用可以提高当前实验室分析的效率，速度和成本。