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non-destructive analysis method of one seed grain by near infrared reflectance spectroscopy

机译:一种种子籽粒的近红外反射光谱无损分析方法

摘要

PURPOSE: A method for non-destructive analysis of one seed grain by near infrared ray absorption spectrum is provided to precisely analyze the components and characteristics of one seed grain in a short time without using any additional chemical analysis equipments. CONSTITUTION: A method for non-destructive analysis of one seed grain by near infrared ray absorption spectrum includes the steps of measuring near infrared ray absorption spectrums(400-2500mm) of 30-100 seeds of selected grain samples by a horizontal manual module, correcting absorbancy per wavelength measured by 30-100 grains respectively with a single average absorption spectrum per wavelength, randomly distinguishing 150 averaged absorption spectrum into about 100 estimation model developing models and about 50 estimation model testing models, correcting the uniformity of the samples by using a sieve of 60 mesh after preparing powdered samples, testing the moisture content of the powdered samples by drying for 2 hours in a drier of 105C, precisely carrying out chemical analysis of contents of components such as protein and fat contained in the powdered samples twice or more, removing samples of which a difference in the chemical analysis is beyond a range of 0.2-0.4% from the models, inserting real component contents of which moisture contents are corrected into the measured average absorption spectrum, carrying out the statistic analysis for setting optimum estimation models for the respective components, and selecting the optimum estimation models by discriminating the precision of the estimation models.
机译:目的:提供一种通过近红外吸收光谱对一种籽粒进行无损分析的方法,以在不使用任何其他化学分析设备的情况下,在短时间内精确地分析一种籽粒的成分和特性。组成:一种通过近红外吸收光谱对一种籽粒进行无损分析的方法,包括以下步骤:通过水平手动模块测量所选谷物样品的30-100种种子的近红外吸收光谱(400-2500mm),并进行校正由30-100个晶粒分别测量的每个波长的吸收率,每个波长具有一个平均吸收光谱,将150个平均吸收光谱随机区分为大约100个估计模型开发模型和大约50个估计模型测试模型,使用筛子校正样品的均匀性制备粉末状样品后60目,在105℃的干燥机中干燥2小时以测试粉末状样品的水分含量,对粉末状样品中所含蛋白质和脂肪等成分的含量进行两次或更多次精确的化学分析,从模型中删除化学分析差异超出0.2-0.4%范围的样品s,将水分校正后的实际成分含量插入到测定的平均吸收光谱中,进行统计分析以设定各成分的最佳估计模型,并通过区分估计模型的精度来选择最佳估计模型。

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