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公开(公告)号:KR100433263B1
公开(公告)日:2004-05-31
申请号:KR1020010044760
申请日:2001-07-25
Applicant: 대한민국(농촌진흥청장)
IPC: G01N21/359
Abstract: 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 105°C, 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.
Abstract translation: 目的:提供一种通过近红外线吸收光谱对一粒种子进行无损分析的方法,可在短时间内精确分析一粒种子的成分和特性,而无需使用任何额外的化学分析设备。 本发明涉及一种用近红外线吸收光谱对一粒种子进行无损分析的方法,它包括以下步骤:通过水平手动模块测量30-100粒种子的选定颗粒样品的近红外线吸收光谱(400-2500mm),校正 每个波长的吸光度分别用每个波长的单个平均吸收光谱测量30-100个颗粒,随机区分150个平均吸收光谱为约100个估计模型开发模型和约50个估计模型测试模型,使用筛子校正样品的均匀性 制备粉末样品后,通过在105℃干燥器中干燥2小时测试粉末样品的含水量,精确地对粉末样品中含有的蛋白质和脂肪等组分的含量进行化学分析 两次或更多次,从化学分析的差异超过0.2-0.4%的范围内移除样品 将其中含水量被修正的实际成分含量插入到测量的平均吸收光谱中,进行统计分析以设置各个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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公开(公告)号:KR1020030010025A
公开(公告)日:2003-02-05
申请号:KR1020010044760
申请日:2001-07-25
Applicant: 대한민국(농촌진흥청장)
IPC: G01N21/359
Abstract: 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 105°C, 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.
Abstract translation: 目的:提供一种通过近红外线吸收光谱对一颗种子进行无损分析的方法,在不使用任何其他化学分析设备的情况下,在短时间内精确分析一种种籽的成分和特征。 构成:通过近红外线吸收光谱对一种种子颗粒进行非破坏性分析的方法包括以下步骤:通过水平手动模块测量所选粒度样品的30-100粒种子的近红外线吸收光谱(400-2500mm),校正 每个波长的吸光度分别用30-100粒度测量,每个波长具有单个平均吸收光谱,将150个平均吸收光谱随机区分为约100个估计模型开发模型和约50个估计模型测试模型,通过使用筛子校正样品的均匀性 在制备粉末样品后为60目,通过在105℃的干燥器中干燥2小时来测试粉末样品的水分含量,精确地对粉末样品中包含的蛋白质和脂肪等组分的内容物进行化学分析两次或 更多的是,去除化学分析差异的样品超出了mod的0.2-0.4%的范围 将水分含量被校正的实部内容插入到测量的平均吸收光谱中,进行统计分析以设定各组分的最佳估计模型,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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