CN111220563A - 一种采用红外光谱检测回收油的方法 - Google Patents
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- 239000003921 oil Substances 0.000 claims abstract description 37
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- 238000012216 screening Methods 0.000 claims description 10
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- 230000001186 cumulative effect Effects 0.000 claims description 4
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- IOLCXVTUBQKXJR-UHFFFAOYSA-M potassium bromide Chemical compound [K+].[Br-] IOLCXVTUBQKXJR-UHFFFAOYSA-M 0.000 description 4
- 238000001514 detection method Methods 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 3
- PEDCQBHIVMGVHV-UHFFFAOYSA-N Glycerol Natural products OCC(O)CO PEDCQBHIVMGVHV-UHFFFAOYSA-N 0.000 description 2
- 238000004566 IR spectroscopy Methods 0.000 description 2
- QAOWNCQODCNURD-UHFFFAOYSA-N Sulfuric acid Chemical compound OS(O)(=O)=O QAOWNCQODCNURD-UHFFFAOYSA-N 0.000 description 2
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- NFJCQBGAUBIGKV-UHFFFAOYSA-N nitro dihydrogen phosphate Chemical compound OP(O)(=O)O[N+]([O-])=O NFJCQBGAUBIGKV-UHFFFAOYSA-N 0.000 description 1
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Abstract
本发明公开了一种红外光谱偏度值望大望小极差法测定回收油,建立红外光谱的电子表格软件数学分析方法。该方法以红外吸收峰区域偏度分布为依据,筛选望大与望小值,计算极差值,确定限值。低于限值判定为原油,高于限值判定为回收油。
Description
技术领域
本发明公开了一种采用研究型红外光谱,分析植物原油、烹饪回收油,围绕特征基团,对全波数透光度采用偏度SKEW(array1;array2)望大和望小进行筛选保留,求累积极差,得到以特定限值以下与以上作为界定原油与回收油的参数。本发明属于农产品及食品加工安全控制领域。
背景技术:
傅立叶红外光谱分析技术,是解决回收油可能带来的化学变化的潜在的有力工具。通常扫描波数范围在3600~400 1/λ,能够分析大多数有机物化学基团。回收油的检测是目前检测的难点,被业界称为“一群科学家对付不了几个二道贩子”,目前没有回收油检测的国家标准。回收油来源、精炼方法多种多样,成分复杂,溴化钾压片和油脂涂层厚度难以均衡和定量。本发明关键在于提出通过多样本分析建立恰当的数学模型,消除分析误差,总结出规律性的解决方案。
回收油对比原油的直接性变化包括a、油脂混合,b、动物油,c、熔点降低。
回收油对比原油的化学变化包括a、饱和脂肪含量,b、掺入极性基团(氨基、亚胺、硝基、磷酸、硫酸、氯、磷脂等),c、生成极性基团(羧基、酯羧基、甘油伯或叔位羟基、氨基、反式脂肪酸等)。
上述特征可利用研究型红外光谱进行分子基团分析,判断油脂特性。
发明内容:
本发明的目的是采用傅立叶红外光谱分析技术,结合不同波数透光度的偏度累计差值,对回收油进行检测分析。本发明的目的是通过如下的技术方法来实现的:
A、测定几种植物原油和若干回收油的红外扫描光谱透光度值,利用红外基团检索图,在适当位置标记分子基团波数区。
B、查找基团波数区或波数前后3~5个分辨率的透光度极小值。
C、计算极小值附近3~5个波数分辨率的偏度值。
D、分析确定回收油对比原油不同分子基团波数附近的偏度值的望大与望小,并进行筛选。
C、分别累计筛选后的偏度的望大与望小值。
D、计算望大与望小的累计值的极差。
E、观测原油与回收油的偏度累计极差分布区间,重新筛选、优化极差分布,确定原油与回收油的极差限值。
F、测定待检测油脂的偏度望大与望小值累计极差,判断油脂性质。
本发明的有益效果是,采用傅立叶红外光谱分析技术,对油脂进行检测分析。达到快速识别回收油的目的。
具体实施方式
以下为判断回收油示例(相关操作方法、原理参见说明书附图1~5):
用红外Prestage21红外光谱仪,涂布200mg溴化钾压片,设置分辨率2cm-1,扫描菜籽油、花生油、玉米油原油、若干回收油的红外光谱。标记分子基团波数区。查找基团波数区或波数前后5个分辨率的透光度极小值。利用Excel计算极小值附近5个波数分辨率的偏度值,分析确定回收油对比原油不同分子基团波数附近的偏度值的望大与望小,并进行筛选。分别累计筛选后的偏度的望大(7.80~26.00)与望小值(-13.80~4.05)。计算望大与望小的累计值的极差(原油-5.20~4.24;回收油5.88~27.55)。重新筛选、优化极差分布,确定原油与回收油的极差限值为5.00,即极差限值大于5.00判断为回收油。
附图说明
图1是偏度的电子表格图形示例和计算公式;
图2是红外基团快速检索图;
图3是操作流程实体示例;
图4是偏度SKEW(array1;array2)的计算值演示示例;
图5是回收油累计偏度极差示例。
Claims (7)
1.本发明的目的是一种红外光谱偏度值望大望小极差法测定回收油。本发明的目的是通过如下的技术方法步骤来实现的:
A、测定几种植物原油和若干回收油的红外扫描光谱透光度值,利用红外基团检索图,在适当位置标记分子基团波数区。
B、查找基团波数区或波数前后3~5个分辨率的透光度极小值。
C、计算极小值附近3~5个波数分辨率的偏度值。
D、分析确定回收油对比原油不同分子基团波数附近的偏度值的望大与望小,并进行筛选。
C、分别累计筛选后的偏度的望大与望小值。
D、计算望大与望小的累计值的极差。
E、观测原油与回收油的偏度累计极差分布区间,重新筛选、优化极差分布,确定原油与回收油的极差限值。
F、测定待检测油脂的偏度望大与望小值累计极差,判断油脂性质。
2.根据权利要求1A所述的红外基团快速检索图,是把分子基团红外扫描波数分布做成快速检索简图,列入说明书附图。
3.根据权利要求1C所述的偏度,是红外特征基团透光度减少与回复的数学函数值,具有特征性变化,可利用办公或统计软件进行分析。
4.根据权利要求1D所述的望大与望小,是回收油对比原油的透光度偏度值增大与减小趋势。
5.根据权利要求1D所述的极差,是优选后的偏度望大与望小的累计值的差值。
6.根据权利要求1E所述的极差限值,是判定油脂来源的依据。
7.根据权利要求1所述的方法步骤A~F构成一种红外光谱偏度值望大望小极差法测定回收油的整体。
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