Novel near-infrared sampling apparatus for single kernel analysis of oil content in maize

被引：18

作者：

Janni, James ^{[1
]}

Weinstock, B. Andre ^{[1
]}

Hagen, Lisa ^{[1
]}

Wright, Steve ^{[1
]}

机构：

[1] Pioneer HiBred Int Inc, Johnston, IA 50131 USA

来源：

APPLIED SPECTROSCOPY | 2008年 / 62卷 / 04期

关键词：

near-infrared spectroscopy; NIR spectroscopy; corn; maize; Zea mays; multivariate analysis; chemometrics; partial least squares; PLS; single kernel analysis;

D O I：

10.1366/000370208784046885

中图分类号：

TH7 [仪器、仪表];

学科分类号：

0804 ; 080401 ; 081102 ;

摘要：

A method of rapid, nondestructive chemical and physical analysis of individual maize (Zea mays L.) kernels is needed for the development of high value food, feed, and fuel traits. Near-infrared (NIR) spectroscopy offers a robust nondestructive method of trait determination. However, traditional NIR bulk sampling techniques cannot be applied successfully to individual kernels. Obtaining optimized single kernel NIR spectra for applied chemometric predictive analysis requires a novel sampling technique that can account for the heterogeneous forms, morphologies, and opacities exhibited in individual maize kernels. In this study such a novel technique is described and compared to less effective means of single kernel NIR analysis. Results of the application of a partial least squares (PLS) derived model for predictive determination of percent oil content per individual kernel are shown.

引用

页码：423 / 426

页数：4

共 10 条

[1] Development of a calibration to predict maize seed composition using single kernel near infrared spectroscopy [J].