Nondestructive Estimation of the Contents of the Functional Elements in Soybean by Near Infrared Reflectance Spectroscopy

Sato, Tetsuo

doi:10.5772/15003

Cited by 3 publications

(3 citation statements)

References 16 publications

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“…This variability of the spectra is too large in relation to the corresponding content of daidzin. The model for the total isoflavones can be used for quantification [ 15 ] and for checking the content on the nutritional herbal extracts, because the SEP is 13.54%. The SEP and the precision are sufficient for the quantification of the isoflavonol glycosides content for the nutritional supplements.…”

Section: Resultsmentioning

confidence: 99%

FT-IR Method for the Quantification of Isoflavonol Glycosides in Nutritional Supplements of Soy (Glycine max (L.) Merr.)

Mulsow

2015

Sci. Pharm.

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Due to increasing health consciousness, a lot of food supplements are sold and used. Dietary supplements of Glycine max (L.) MERR. are used as an alternative treatment for menopausal complaints such as hot flashes. Thereby, the effective soy compounds are the isoflavones daidzin, genistin, and glycitin. However, only the total soy extract content of the nutritional supplements is indicated. The aim of this study is to introduce a fast, efficient, and economic Fourier transformation infrared (FT-IR) spectroscopy method to quantify the active ingredients in the complex matrix of soy-based supplements. Five different nutritional supplements of Glycine max (L.) MERR. were purchased from a German pharmacy and were extracted with 80% aqueous methanol. A high-performance liquid chromatography (HPLC) method was used for the separation. The samples were concentrated and measured with infrared spectroscopy. An FT-IR method was established to quantify the active ingredients in the complex matrix of soy-based nutritional supplements. The partial least-squares algorithm was used to develop the method, which enabled the estimation of the content of particular isoflavones (daidzin R2 = 0.86, glycitin R2 = 0.94, genistin R2 = 0.96) and the quantification of the total isoflavone content (R2 = 0.92) despite peak overlap in the infrared (IR) spectra. The method for the quantification of the isoflavonol glycosides is precise with the standard error of prediction being 13.54%.

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Section: Resultsmentioning

confidence: 99%

FT-IR Method for the Quantification of Isoflavonol Glycosides in Nutritional Supplements of Soy (Glycine max (L.) Merr.)

Mulsow

2015

Sci. Pharm.

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“…A rapid classification of high versus low isoflavone soybean seed batches is essential before storing for exploiting the nutraceutical market. Near‐infrared reflectance spectroscopy (NIRS) has also very recently been applied to quantify functional compounds in soybean, with good accuracy, although equipment costs are still high …”

Section: Introductionmentioning

confidence: 99%

“…Near-infrared reflectance spectroscopy (NIRS) has also very recently been applied to quantify functional compounds in soybean, with good accuracy, although equipment costs are still high. 9,10 Our previous long-term trials had indicated that the abundance of isoflavones among genotypes varies considerably due to strong genetic dependence. 11 In this study, we classified three homogeneous groups of varieties with different isoflavone ranks visually associated with contrasting hilum colour.…”

Section: Introductionmentioning

confidence: 99%

Estimation of cotyledon isoflavone abundance by a grey luminance-based model in variously hilum-coloured soybean varieties

Barion

Mosca

Vamerali

2016

J. Sci. Food Agric.

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Determination of carotenoid and tocopherol content in maize flour and oil samples using near-infrared spectroscopy

Kahrıman

Onaç

Türk

et al. 2019

Spectroscopy Letters

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Nondestructive Estimation of the Contents of the Functional Elements in Soybean by Near Infrared Reflectance Spectroscopy

Cited by 3 publications

References 16 publications

FT-IR Method for the Quantification of Isoflavonol Glycosides in Nutritional Supplements of Soy (Glycine max (L.) Merr.)

FT-IR Method for the Quantification of Isoflavonol Glycosides in Nutritional Supplements of Soy (Glycine max (L.) Merr.)

Estimation of cotyledon isoflavone abundance by a grey luminance-based model in variously hilum-coloured soybean varieties

Determination of carotenoid and tocopherol content in maize flour and oil samples using near-infrared spectroscopy

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