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Detection and quantification of sugar and glucose syrup in roasted green tea using near infrared spectroscopy

机译:近红外光谱法检测和定量测定焙烧绿茶中糖和葡萄糖浆的含量

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The adulteration of roasted green tea by sugar and glucose syrup increases the risk of moisture sensitivity and microbiological hazards in tea products and is considered to be an illegal business operation. The analytical method of high-performance liquid chromatography, which is commonly used for the detection of sugar and glucose syrup, has high specificity and sensitivity, but it is time-consuming and requires highly skilled operators. In this study, near infrared (NIR) spectroscopy combined with multivariate calibration was employed to detect and quantitatively analyse sugar and glucose syrup in roasted green tea. An orthogonal experimental design, sample preprocessing, partial least squares (PLS) models and qualitative models were systemically utilised when developing the method. The model was optimised using leave-one-out cross-validation, and its performance was tested according to root mean square error of prediction and correlation coefficient of determination for the prediction set samples. To reduce heterogeneity, tea samples were ground and homogenised before spectra were acquired. The repeatability of spectra was optimised when the powder particle size was 40-60 mesh, the pressure was 40 MPa and sample cakes had a thickness of 4 mm. PLS models of the sugar and glucose syrup (adulterants) were established under cross-validation and tested with an independent set of samples, yielding coefficients of determination of 0.998, 0.996 and 0.996, 0.998 for sugar and glucose syrup, respectively. The corresponding values for the root mean square error of calibration and prediction were found to be 0.31% and 0.43% for sugar and 0.41% and 0.30% for glucose syrup, respectively. The identification accuracies for these adulterants in roasted green tea were up to 96% and 100%, respectively. These results reveal the feasibility of using NIR spectroscopy for the detection and quantification of adulterants (sugar and glucose syrup) in roasted green tea with acceptable accuracy.
机译:用糖和葡萄糖浆对焙炒的绿茶进行掺假会增加茶叶产品中的水分敏感性和微生物危害性风险,被认为是非法经营。高效液相色谱法的分析方法通常用于检测糖和葡萄糖浆,具有很高的特异性和灵敏度,但是它很耗时,并且需要熟练的操作人员。在这项研究中,近红外(NIR)光谱结合多元校正被用于检测和定量分析烤绿茶中的糖和葡萄糖浆。开发该方法时,系统地利用了正交实验设计,样品预处理,偏最小二乘(PLS)模型和定性模型。使用留一法交叉验证对模型进行了优化,并根据预测的均方根误差和预测集样本的相关系数确定了模型的性能。为了减少异质性,在采集光谱之前将茶样品研磨并均质化。当粉末粒度为40-60目,压力为40 MPa,样品饼的厚度为4 mm时,光谱的重复性得到优化。在交叉验证下建立了糖和葡萄糖浆(掺杂剂)的PLS模型,并用一组独立的样本进行了测试,糖和葡萄糖浆的测定系数分别为0.998、0.996和0.996、0.998。校准和预测的均方根误差的相应值分别为:糖为0.31%和0.43%,葡萄糖浆为0.41%和0.30%。烧烤绿茶中这些掺假品的鉴定准确率分别高达96%和100%。这些结果揭示了使用NIR光谱法以可接受的准确度检测和定量烤绿茶中掺假品(糖和葡萄糖浆)的可行性。

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