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利用近红外反射法分析芜菁叶和芜菁顶部(亚种)中的酸性洗涤纤维含量。

Analysis of the Acid Detergent Fibre Content in Turnip Greens and Turnip Tops ( L. Subsp. ) by Means of Near-Infrared Reflectance.

作者信息

Obregón-Cano Sara, Moreno-Rojas Rafael, Jurado-Millán Ana María, Cartea-González María Elena, De Haro-Bailón Antonio

机构信息

Department of Plant Breeding, Institute for Sustainable Agriculture (CSIC), 14004 Córdoba, Spain.

Department of Food Science and Technology, University of Córdoba, Rabanales Campus, 14014 Córdoba, Spain.

出版信息

Foods. 2019 Aug 26;8(9):364. doi: 10.3390/foods8090364.

Abstract

Standard wet chemistry analytical techniques currently used to determine plant fibre constituents are costly, time-consuming and destructive. In this paper the potential of near-infrared reflectance spectroscopy (NIRS) to analyse the contents of acid detergent fibre (ADF) in turnip greens and turnip tops has been assessed. Three calibration equations were developed: in the equation without mathematical treatment the coefficient of determination () was 0.91, in the first-derivative treatment equation = 0.95 and in the second-derivative treatment = 0.96. The estimation accuracy was based on RPD (the ratio between the standard deviation and the standard error of validation) and RER (the ratio between the range of ADF of the validation as a whole and the standard error of prediction) of the external validation. RPD and RER values were of 2.75 and 9.00 for the treatment without derivative, 3.41 and 11.79 with first-derivative, and 3.10 and 11.03 with second-derivative. With the acid detergent residue spectrum the wavelengths were identified and associated with the ADF contained in the sample. The results showed a great potential of NIRS for predicting ADF content in turnip greens and turnip tops.

摘要

目前用于测定植物纤维成分的标准湿化学分析技术成本高、耗时且具有破坏性。本文评估了近红外反射光谱法(NIRS)分析芜菁叶和芜菁顶部酸性洗涤纤维(ADF)含量的潜力。建立了三个校准方程:在未经数学处理的方程中,决定系数()为0.91,在一阶导数处理方程中 = 0.95,在二阶导数处理中 = 0.96。估计准确性基于外部验证的RPD(验证标准差与标准误差之比)和RER(整个验证的ADF范围与预测标准误差之比)。未进行导数处理时,RPD和RER值分别为2.75和9.00;一阶导数处理时为3.41和11.79;二阶导数处理时为3.10和11.03。利用酸性洗涤残渣光谱确定了波长,并将其与样品中含有的ADF相关联。结果表明,NIRS在预测芜菁叶和芜菁顶部ADF含量方面具有巨大潜力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b44c/6770578/1bece812114b/foods-08-00364-g001.jpg

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