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Nondestructive Determination of Diastase Activity of Honey Based on Visible and Near-Infrared Spectroscopy

机译:可见光和近红外光谱法无损测定蜂蜜的酶活性

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摘要

The activities of enzymes are the basis of evaluating the quality of honey. Beekeepers usually use concentrators to process natural honey into concentrated honey by concentrating it under high temperatures. Active enzymes are very sensitive to high temperatures and will lose their activity when they exceed a certain temperature. The objective of this work is to study the kinetic mechanism of the temperature effect on diastase activity and to develop a nondestructive approach for quick determination of the diastase activity of honey through a heating process based on visible and near-infrared (Vis/NIR) spectroscopy. A total of 110 samples, including three species of botanical origin, were used for this study. To explore the kinetic mechanism of diastase activity under high temperatures, the honey of three kinds of botanical origins were processed with thermal treatment to obtain a variety of diastase activity. Diastase activity represented with diastase number (DN) was measured according to the national standard method. The results showed that the diastase activity decreased with the increase of temperature and heating time, and the sensitivity of acacia and longan to temperature was higher than linen. The optimum temperature for production and processing is 60 °C. Unsupervised clustering analysis was adopted to detect spectral characteristics of these honeys, indicating that different botanical origins of honeys can be distinguished in principal component spaces. Partial least squares (PLS) and least squares-support vector machine (LS-SVM) algorithms were applied to develop quantitative relationships between Vis/NIR spectroscopy and diastase activity. The best result was obtained through Gaussian filter smoothing-standard normal variate (GF-SNV) pretreatment and the LS-SVM model, known as GF-SNV-LS-SVM, with a determination coefficient (R2) of prediction of 0.8872, and root mean square error (RMSE) of prediction of 0.2129. The overall results of this paper showed that the diastase activity of honey can be determined quickly and non-destructively with Vis/NIR spectral methods, which can be used to detect DN in the process of honey production and processing, and to maximize the nutrient content of honey.
机译:酶的活性是评估蜂蜜质量的基础。养蜂人通常使用浓缩器将天然蜂蜜在高温下浓缩成浓缩蜂蜜。活性酶对高温非常敏感,超过一定温度就会失去活性。这项工作的目的是研究温度对淀粉酶活性的动力学机制,并开发一种非破坏性方法,通过基于可见和近红外(Vis / NIR)光谱的加热过程快速确定蜂蜜的淀粉酶活性。 。这项研究共使用了110种样品,包括三种植物来源。为了探索高温下淀粉酶活性的动力学机理,对三种植物来源的蜂蜜进行热处理,以得到各种淀粉酶活性。根据国家标准方法测量以舒张酶编号(DN)表示的舒张酶活性。结果表明,随着温度和加热时间的增加,淀粉酶活性降低,相思和龙眼对温度的敏感性高于亚麻。生产和加工的最佳温度为60°C。通过无监督聚类分析来检测这些蜂蜜的光谱特征,表明可以在主成分空间中区分出不同的植物来源。应用偏最小二乘(PLS)和最小二乘支持向量机(LS-SVM)算法来开发Vis / NIR光谱与淀粉酶活性之间的定量关系。通过高斯滤波器平滑标准正态变量(GF-SNV)预处理和LS-SVM模型(称为GF-SNV-LS-SVM)获得最佳结果,其测定系数为(R 2 )的预测值为0.8872,而均方根误差(RMSE)的预测值为0.2129。本文的总体结果表明,Vis / NIR光谱法可以快速,无损地测定蜂蜜的淀粉酶活性,可用于检测蜂蜜生产和加工过程中的DN,并最大限度地提高营养成分蜂蜜

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