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Nondestructive determination of oil content and fatty acid composition in perilla seeds by near-infrared spectroscopy.
J Agric Food Chem. 2007 Mar 07; 55(5):1679-85.JA

Abstract

Near-infrared reflectance spectroscopy (NIRS) was used as a rapid and nondestructive method to determine the oil content and fatty acid composition in intact seeds of perilla [Perilla frutescens var. japonica (Hassk.) Hara] germplasms in Korea. A total of 397 samples (about 2 g of intact seeds) were scanned in the reflectance mode of a scanning monochromator, and the reference values for the oil content and fatty acid composition were measured by gravimetric method and gas-liquid chromatography, respectively. Calibration equations for oil and individual fatty acids were developed using modified partial least-squares regression with internal cross validation (n = 297). The equations for oil and oleic and linolenic acid had lower standard errors of cross-validation (SECV), higher R2 (coefficient of determination in calibration), and higher ratio of unexplained variance divided by variance (1-VR) values than those for palmitic, stearic, and linoleic acid. Prediction of an external validation set (n = 100) showed significant correlation between reference values and NIRS estimated values based on the standard error of prediction (SEP), r2 (coefficient of determination in prediction), and the ratio of standard deviation (SD) of reference data to SEP. The models for oil content and major fatty acids, oleic and linolenic acid, had relatively higher values of SD/SEP(C) and r2 (more than 3.0 and 0.9, respectively), thereby characterizing those equations as having good quantitative information, whereas those of palmitic, stearic, and linoleic acid had lower values (below 2.0 and 0.7, respectively), unsuitable for screening purposes. The results indicated that NIRS could be used to rapidly determine oil content and fatty acid composition (oleic and linolenic acid) in perilla seeds in the breeding programs for development of high-quality perilla oil.

Authors+Show Affiliations

Kim KS
Department of Medicinal Plant Resources, Mokpo National University, Muan 534-729, Korea.
Park SH
No affiliation info available
Choung MG
No affiliation info available

MeSH

CalibrationFatty AcidsPerillaPlant OilsReproducibility of ResultsSeedsSpectroscopy, Near-Infrared

Pub Type(s)

Journal Article
Research Support, Non-U.S. Gov't

Language

eng

PubMed ID

17288449

Citation

Kim, Kwan Su, et al. "Nondestructive Determination of Oil Content and Fatty Acid Composition in Perilla Seeds By Near-infrared Spectroscopy." Journal of Agricultural and Food Chemistry, vol. 55, no. 5, 2007, pp. 1679-85.
Kim KS, Park SH, Choung MG. Nondestructive determination of oil content and fatty acid composition in perilla seeds by near-infrared spectroscopy. J Agric Food Chem. 2007;55(5):1679-85.
Kim, K. S., Park, S. H., & Choung, M. G. (2007). Nondestructive determination of oil content and fatty acid composition in perilla seeds by near-infrared spectroscopy. Journal of Agricultural and Food Chemistry, 55(5), 1679-85.
Kim KS, Park SH, Choung MG. Nondestructive Determination of Oil Content and Fatty Acid Composition in Perilla Seeds By Near-infrared Spectroscopy. J Agric Food Chem. 2007 Mar 7;55(5):1679-85. PubMed PMID: 17288449.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Nondestructive determination of oil content and fatty acid composition in perilla seeds by near-infrared spectroscopy. AU - Kim,Kwan Su, AU - Park,Si Hyung, AU - Choung,Myoung Gun, Y1 - 2007/02/09/ PY - 2007/2/10/pubmed PY - 2007/6/21/medline PY - 2007/2/10/entrez SP - 1679 EP - 85 JF - Journal of agricultural and food chemistry JO - J Agric Food Chem VL - 55 IS - 5 N2 - Near-infrared reflectance spectroscopy (NIRS) was used as a rapid and nondestructive method to determine the oil content and fatty acid composition in intact seeds of perilla [Perilla frutescens var. japonica (Hassk.) Hara] germplasms in Korea. A total of 397 samples (about 2 g of intact seeds) were scanned in the reflectance mode of a scanning monochromator, and the reference values for the oil content and fatty acid composition were measured by gravimetric method and gas-liquid chromatography, respectively. Calibration equations for oil and individual fatty acids were developed using modified partial least-squares regression with internal cross validation (n = 297). The equations for oil and oleic and linolenic acid had lower standard errors of cross-validation (SECV), higher R2 (coefficient of determination in calibration), and higher ratio of unexplained variance divided by variance (1-VR) values than those for palmitic, stearic, and linoleic acid. Prediction of an external validation set (n = 100) showed significant correlation between reference values and NIRS estimated values based on the standard error of prediction (SEP), r2 (coefficient of determination in prediction), and the ratio of standard deviation (SD) of reference data to SEP. The models for oil content and major fatty acids, oleic and linolenic acid, had relatively higher values of SD/SEP(C) and r2 (more than 3.0 and 0.9, respectively), thereby characterizing those equations as having good quantitative information, whereas those of palmitic, stearic, and linoleic acid had lower values (below 2.0 and 0.7, respectively), unsuitable for screening purposes. The results indicated that NIRS could be used to rapidly determine oil content and fatty acid composition (oleic and linolenic acid) in perilla seeds in the breeding programs for development of high-quality perilla oil. SN - 0021-8561 UR - https://www.unboundmedicine.com/medline/citation/17288449/Nondestructive_determination_of_oil_content_and_fatty_acid_composition_in_perilla_seeds_by_near_infrared_spectroscopy_ L2 - https://doi.org/10.1021/jf0631070 DB - PRIME DP - Unbound Medicine ER -