首页> 外文期刊>Journal of near infrared spectroscopy >In-stream measurement of canola (Brassica napus L.) seed oil concentration using in-line near infrared reflectance spectroscopy
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In-stream measurement of canola (Brassica napus L.) seed oil concentration using in-line near infrared reflectance spectroscopy

机译:使用在线近红外反射光谱技术进行芥花籽油(Brassica napus L.)的流中测量

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摘要

Natural variation in the seed oil concentration of oilseed crops sent to a crushing plant can impair the recovery of the oil from the seed. Consequently, there is interest in applying in-line near infrared (NIR) spectroscopy to measure the oil concentration of the seed to be processed and, in using the information obtained, to maximise expeller efficiency. The objective of this study was to determine how well in-line NIR spectroscopy could determine the seed oil concentration of canola (Brassica napus L.) when there was direct contact of the sensor head with the grain stream. Reflectance spectra from 850 nm to 1650 nm were obtained by sliding grain samples of canola directly across the sensor head of the Polytec 1721 NIR reflectance analyser. Reference analytical results were estimated using the NIR optical spectra as regression estimators. The resulting prediction equation with eight latent variables resulted in a coefficient of determination of 0.95, standard error of cross-validation of 0.727% and relative performance determination of 4.77. Validation results, based on site or year omission, confirmed the ability of the instrument to accurately predict seed oil concentration in a grain stream. This creates opportunities for monitoring the oil content of seed entering the expeller and using this information to adjust the expeller for maximum efficiency.
机译:送入压榨厂的油料作物的种子油浓度的自然变化会损害种子中油的回收。因此,人们感兴趣的是应用在线近红外(NIR)光谱法来测量待处理种子的油浓度,并利用获得的信息来最大化推进器效率。这项研究的目的是确定当传感器头与谷物流直接接触时,在线近红外光谱法可以如何确定芥花籽油(Brassica napus L.)的籽油浓度。通过将双低油菜籽样品直接滑过Polytec 1721 NIR反射率分析仪的传感器头,可获得850 nm至1650 nm的反射光谱。使用NIR光谱作为回归估算器估算参考分析结果。得到的具有八个潜在变量的预测方程式的确定系数为0.95,交叉验证的标准误差为0.727%,相对性能确定为4.77。基于部位或年份遗漏的验证结果证实了该仪器能够准确预测谷物流中种子油浓度的能力。这为监视进入推进器的种子的含油量和使用此信息调整推进器提供了最大的机会。

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