Abstract
Quantitative detection of protein, fat, starch, and amino acids in foxtail millet using Fourier transform near-infrared spectroscopy (NIRS) was investigated. Foxtail millet samples (n=259) were analyzed using NIRS. Spectral data were linearized with data from chemical analyses. Calibration models were established using a partial least-squares (PLS) algorithm with cross-validation. Optimized models were tested using external validation set samples with coefficients of determination in the external validation (R 2 val) of >0.90. Residual predictive deviation (RPD) values were nearly equal to or >2.5 for crude protein, alanine, aspartic acid, glutamic acid, isoleucine, leucine, and serine. However, for glycine, histidine, phenylalanine, proline, threonine, tyrosine, and valine, the R 2 val values were >0.83 and RPD values were nearly equal to or >2.0. For crude fat, total starch, arginine, and lysine, the R 2 val values were >0.70 and RPD values were >1.5. NIRS is a rapid determination tool for foxtail millet breeding, and for quality control.
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Kumar KK, Parameswaran PK. Characterisation of storage protein from selected varieties of foxtail millet [Setaria italica (L) Beauv]. J. Sci. Food Agr. 77: 535–542 (1998)
Mohamed TK, Zhu K, Issoufou A, Fatmata T, Zhou H. Functionality, in vitro digestibility and physicochemical properties of two varieties of defatted foxtail millet protein concentrates. Int. J. Mol. Sci. 10: 5224–5238 (2009)
Antony U, Sripriya G, Chandra TS. The effect of fermentation on the primary nutrients in foxtail millet (Setaria italica). Food Chem. 56: 381–384 (1996)
Lin HS, Chiang CY, Chang SB, Kuoh CS. Development of simple sequence repeats (SSR) markers in Setaria italica (Poaceae) and cross-amplification in related species. Int. J. Mol. Sci. 12: 7835–7845 (2011)
Ushakumari SR, Latha S, Malleshi NG.. The functional properties of popped, flaked, extruded and roller-dried foxtail millet (Setaria italica). Int. J. Mol. Sci. 39: 907–915 (2004)
Mohamed TK, Issoufou A, Fatmata T, Zhou H. Effect of enzymatic hydrolysis on the functional properties of foxtail millet (Setaria italica L.) proteins. Int. J. Food Sci. Tech. 45: 1175–1183 (2010)
Liu JK, Tang X, Zhang YZ, Zhao W. Determination of the volatile composition in brown millet, milled millet and millet bran by gas chromatography/mass spectrometry. Molecules 17: 2271–2282 (2012)
Bellon V, Vigneau JL, Sévila F. Infrared and near-infrared technology for the food industry and agricultural uses: On-line applications. Food Control 5: 21–27 (1994)
Bock JE, Connelly RK. Innovative uses of near-infrared spectroscopy in food processing. J. Food Sci. 73: 91–98 (2008)
Downey G. Tutorial review. Qualitative analysis in the near-infrared region. Analyst 119: 2367–2375 (1994)
Osborne BG. Applications of near infrared spectroscopy in quality screening of early-generation material in cereal breeding programmes. J. Near Infrared Spec. 14: 93–101 (2006)
Bao JS, Cai YZ, Corke H. Prediction of rice starch quality parameters by near infrared reflectance spectroscopy. J. Food Sci. 66: 936–939 (2001)
Sohn M, Barton FE, McClung AM, Champagne ET. Near-infrared spectroscopy for determination of protein and amylose in rice flour through use of derivatives. Cereal Chem. 81: 341–344 (2004)
Kovalenko IV, Rippke GR, Hurburgh CR. Determination of amino acid composition of soybeans (Glycine max) by near-infrared spectroscopy. J. Agr. Food Chem. 54: 3485–3491 (2006)
Sato T, Eguch K, Hatano T, Nishiba Y. Use of near-infrared reflectance spectroscopy for the estimation of the isoflavone contents of soybean seeds. Plant Prod. Sci. 11: 481–486 (2008)
Orman BA, Schumann RA. Comparison of near-infrared spectroscopy calibration methods for the prediction of protein, oil and starch in maize grain. J. Agr. Food Chem. 39: 883–886 (1991)
Brenna OV, Berardo N. Application of near-infrared reflectance spectroscopy (NIRS) to the evaluation of carotenoids content in maize. J. Agr. Food Chem. 52: 5577–5582 (2004)
Vines LL, Kays SE, Koehler PE. Near-infrared reflectance model for the rapid prediction of total fat in cereal foods. J. Agr. Food Chem. 53: 1550–1555 (2005)
Hacisalihoglu G., Larbi B, Settles AM. Near-infrared reflectance spectroscopy predicts protein, starch, and seed weight in intact seeds of common bean (Phaseolus vulgaris L.). J. Agr. Food Chem. 58: 702–706 (2010)
Chen XJ, Wu JG, Zhou SJ, Yang YJ, Ni XL, Yang J, Zhu ZJ, Shi CH. Application of near-infrared reflectance spectroscopy to evaluate the lutein and β-carotene in Chinese kale. J. Food Compos. Anal. 22: 148–153 (2009)
Standardization Administration. GB/T 5511-2008, Cereals and Pulses-Determination of the Nitrogen Content and Calculation of the Crude Protein Content-kjeldahl Method. Standardization Administration, China. pp. 1–3 (2008)
Standardization Administration. GB/T 5512-2008, Inspect of Grain and Oilseeds-Determination of Crude Fat Content in Grain. Standardization Administration, China. pp. 1–2 (2008)
Standardization Administration. GB/T 5006-1985 (now NY/T 11-1985), Determination of Crude Starch in Cereals Seeds. Standardization Administration, China. pp. 194–195 (1985)
Wu JG, Shi CH, Zhang XM. Estimating the amino acid composition in milled rice by near-infrared reflectance spectroscopy. Field Crop. Res. 75: 1–7 (2002)
Jones BN, Gilligan JP. o-Phthaldialdehyde precolumn derivatization and reversed-phase high-performance liquid chromatography of polypeptide hydrolysates and physiological fluids. J. Chromatogr. A 266: 471–482 (1983)
Höskuldsson A. PLS regression methods. J. Chemometr. 2: 211–228 (1988)
Williams PC, Sobering DC. How do we do it: A brief summary of the methods we use in developing near infrared calibration. pp. 185–188. In: Near Infrared Spectroscopy: The Future Waves. Davies AMC, Williams P (eds). NIR Publications, Chichester, UK (1996).
Christy AA, Kasemsumran S, Du Y, Ozaki Y. The detection and quantication of adulteration in olive oil by near-infrared spectroscopy and chemometrics. Anal. Sci. 20: 935–940 (2004)
Kuligowski J, Carrión D, Quintás G, Garrigues S, de la Guardia M. Direct determination of polymerised triacylglycerides in deep-frying vegetable oil by near infrared spectroscopy using Partial Least Squares regression. Food Chem. 131: 353–359 (2012)
Shao Y, He Y. Visible/near infrared spectroscopy and chemometrics for the prediction of trace element (Fe and Zn) levels in rice leaf. Sensors 13: 1872–1883 (2013)
Williams P, Norris K. Near-infrared Technology in the Agricultural and Food Industries. 2nd ed. American Association of Cereal Chemists, St. Paul, MN, USA. pp. 199–210 (2001)
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Yang, XS., Wang, LL., Zhou, XR. et al. Determination of protein, fat, starch, and amino acids in foxtail millet [Setaria italica (L.) Beauv.] by Fourier transform near-infrared reflectance spectroscopy. Food Sci Biotechnol 22, 1495–1500 (2013). https://doi.org/10.1007/s10068-013-0243-1
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DOI: https://doi.org/10.1007/s10068-013-0243-1