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采用近红外反射法测定完整谷物食品中的总膳食纤维含量。

Determination of total dietary fiber of intact cereal food products by near-infrared reflectance.

作者信息

Archibald D D, Kays S E

机构信息

Quality Assessment Research Unit, Agricultural Research Service, U.S. Department of Agriculture, Russell Research Center, Athens, Georgia 30604-5677, USA.

出版信息

J Agric Food Chem. 2000 Oct;48(10):4477-86. doi: 10.1021/jf000206j.

Abstract

Near-infrared reflectance spectra of cereal food products were acquired with a commercial dual-diode-array (Si, InGaAs) spectrometer customized to allow rapid acquisition of scans of intact breakfast cereals, snack foods, whole grains, and milled products. Substantial gains in the performance of multivariate calibration models generated from these data were obtained by a computational strategy that systematically analyzed the performance of various spectral windows. The calibration model based on 137 cereal food products determined the total dietary fiber (TDF) content of a test set of 45 intact diverse cereal food products with root-mean-squared error of cross-validation of between 1.8 and 2.0% TDF, relative to the laborious enzymatic-gravimetric reference method. The calibration performance is adequate to estimate TDF over the range of values found in diverse types of cereal food products (0.7-50.1%). The method requires no sample preparation and is relatively unaffected by specimen moisture content.

摘要

使用定制的商用双二极管阵列(硅、铟镓砷)光谱仪采集谷物食品的近红外反射光谱,该光谱仪能够快速采集完整早餐谷物、休闲食品、全谷物和研磨产品的扫描数据。通过系统分析不同光谱窗口性能的计算策略,利用这些数据生成的多元校准模型的性能得到了显著提升。基于137种谷物食品的校准模型,相对于繁琐的酶重量法参考方法,对45种不同完整谷物食品的测试集测定总膳食纤维(TDF)含量,交叉验证的均方根误差在TDF的1.8%至2.0%之间。校准性能足以在各种谷物食品中发现的值范围内(0.7 - 50.1%)估计TDF。该方法无需样品制备,且相对不受样品水分含量的影响。

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