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Single kernel sorting of high and normal oleic acid peanuts using near infrared spectroscopy
Journal of Near Infrared Spectroscopy ( IF 1.6 ) Pub Date : 2021-11-19 , DOI: 10.1177/09670335211053502
Daniel J O’Connor 1, 2 , Roger Meder 3 , Angelo Furtado 1 , Robert J Henry 1 , Graeme C Wright 2 , Rao CN Rachaputi 1
Affiliation  

Peanuts are known to contain nutrients that deliver cardiovascular and health benefits. One such compound is oleic acid, an omega-9 monounsaturated fatty acid, which occurs naturally in peanuts in the concentration range 40–55% m/m, while some varieties are known to contain oleic acid above 75% m/m. These high oleic peanuts have been shown to have cardiovascular health benefit by lowering lipid levels. Breeders are therefore interested in selecting for peanuts with high oleic acid content in a rapid, non-destructive manner. Near infrared spectra acquired on single peanut kernels was used to classify the kernels as either high oleic content or normal, low oleic content, by means of partial least squares discriminant analysis with an overall error rate in classification of 3.3%.



中文翻译:

使用近红外光谱技术对高油酸花生和普通油酸花生进行单仁分选

众所周知,花生含有对心血管和健康有益的营养素。一种这样的化合物是油酸,一种 omega-9 单不饱和脂肪酸,天然存在于花生中,浓度范围为 40-55% m/m,而已知一些品种的油酸含量高于 75% m/m。这些高油酸花生已被证明通过降低血脂水平对心血管健康有益。因此,育种者有兴趣以快速、无损的方式选择油酸含量高的花生。在单个花生仁上获得的近红外光谱用于通过偏最小二乘判别分析将仁分为高油酸含量或正常低油酸含量,分类总错误率为 3.3%。

更新日期:2021-11-20
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