Quantitative NIR determination of isoflavone and saponin content of ground soybeans

被引：43

作者：

Berhow, Mark A. ^{[1
]}

Singh, Mukti ^{[1
]}

Bowman, Michael J. ^{[2
]}

Price, Neil P. J. ^{[3
]}

Vaughn, Steven F. ^{[1
]}

Liu, Sean X. ^{[1
]}

机构：

[1] ARS, Funct Foods Res Unit, USDA, Natl Ctr Agr Utilizat Res, 1815 N Univ St, Peoria, IL 61604 USA

[2] ARS, Bioenergy Res Unit, USDA, Natl Ctr Agr Utilizat Res, 1815 N Univ St, Peoria, IL 61604 USA

[3] ARS, Renewable Prod Technol Res Unit, USDA, Natl Ctr Agr Utilizat Res, 1815 N Univ St, Peoria, IL 61604 USA

来源：

FOOD CHEMISTRY | 2020年 / 317卷

关键词：

Near infrared spectrometry; Analysis; Soybean; Isoflavones; Saponins; Carbohydrates; Composition; INFRARED REFLECTANCE SPECTROSCOPY; GLYCINE-MAX; SUCROSE CONTENT; FATTY-ACIDS; SOY; SEED; SOYASAPONINS; EXTRACTION; CULTIVARS; PRODUCTS;

D O I：

10.1016/j.foodchem.2020.126373

中图分类号：

O69 [应用化学];

学科分类号：

081704 ;

摘要：

Over 3200 discrete soybean samples were obtained from production locations around the United States during the years 2012-2016. Ground samples were scanned on near infrared spectrometers (NIRS) and analyzed by HPLC for total isoflavone and total saponin composition, as well as total carbohydrate composition. Multiple Linear Regression (MLR) analysis of preprocessed spectral data was used to develop optimized models to predict isoflavone content. The selection of a suitable calibration model was based on a high regression coefficient (R-2), and lower standard error of calibration (SEC) values. Robust validated predictions were obtained for isoflavones, however less than robust calibrations were obtained for the total saponins. The correlations were not as robust for predicting the carbohydrate composition. NIRS is a suitable, rapid, nondestructive method to determine isoflavone composition in ground soybeans. Useful isoflavone composition predictions for large numbers of soybean samples can be obtained from quickly obtained NIRS scans.

引用

页数：9

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