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首页> 外文期刊>Journal of near infrared spectroscopy >A chemometric approach for moisture control in stingless bee honey using near infrared spectroscopy
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A chemometric approach for moisture control in stingless bee honey using near infrared spectroscopy

机译：近红外光谱法的无刺蜂蜜蜂蜜水分控制的化学计量方法

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摘要

Honey is a product that is often adulterated by the addition of water. Stingless bee honey naturally has a higher moisture content than that produced by the traditional Apis mellifera. In most countries, there is a lack of quality standards and methods to characterise and assure the authenticity of stingless bee honey, which demands for the development of fast methods to assess its main properties, avoiding potential fraud. Thus, this work aimed to develop a non-destructive moisture determination method for stingless bee honey based on diffuse reflectance near infrared spectroscopy combined with chemometrics. Thirty-two honey samples from four stingless bee species (Melipona quadrifasciata, Melipona marginata, Melipona bicolor and Scaptotrigona bipuncata) were used to develop calibration models using partial least squares regression analyses. Results revealed intense absorption bands in C-H, O-H and C-O vibrations in the spectra of stingless bee honey. The calibration model was used to predict the moisture content in honey from an external group. The prediction of the honey's moisture showed good correlation (r(2)=0.93) with the refraction index method and an average error of 2.14%. The statistics variables for the calibration (R-2=0.947, SEP=1.005 and RPD=4.3) revealed that this model can be used to predict the moisture from stingless bee honey and that near infrared spectroscopy is a reliable tool to be applied in quality control with rapid, simple and accurate results.
机译：蜂蜜是一种产品，通常通过添加水掺杂。无刺的蜜蜂蜂蜜自然具有比传统的Apis Mellifera产生的水分含量更高。在大多数国家，缺乏质量标准和方法，以表征和保证无刺蜂蜜的真实性，这要求开发快速方法来评估其主要性质，避免潜在的欺诈。因此，这项工作旨在基于近红外光谱与化学计量学结合的漫反射率，对无抗烟蜂蜜进行无损蜂蜜的非破坏性水分测定方法。用于来自四种无刺蜂（Melipona Quadrifasciata，Melipona Marginata，Melipona Bicolor和Scaptotrigona Bipuncata）的三十二个蜂蜜样品用于开发使用部分最小二乘回归分析的校准模型。结果揭示了无貂皮蜂蜜光谱中的C-H，O-H和C-O振动中的浓度吸收带。校准模型用于从外部组预测蜂蜜中的水分含量。蜂蜜水分的预测显示出折射率法的良好相关性（R（2）= 0.93），平均误差为2.14％。校准的统计变量（R-2 = 0.947，SEP = 1.005和RPD = 4.3）透露，该模型可用于预测无缝蜂蜜的水分，并且近红外光谱是一种可靠的工具以质量应用控制快速，简单，准确的结果。

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