基于吸光度线性混合模型的橄榄油掺杂定量分析方法
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摘要
提出了橄榄油掺杂的吸光度线性混合模型,利用朗伯-比尔吸收机理推导出掺杂比的计算公式,可以定量分析二组分橄榄油掺杂油的组分比例构成。通过误差分析理论分析了掺杂比的计算误差,确定了在橄榄油和掺入油的吸光度差值最大的波长区具有最小的检测误差。实验中利用构建的可见近红外光谱采集系统对橄榄油掺杂玉米油、花生油和大豆油的情况进行了验证,对于掺杂10%以上的掺杂混合油的掺杂比计算值和实际配比值的相关系数分别达到0.999 2、0.999 6和0.999 7,标准误差分别为0.008 2、0.005 9和0.005 1,相对误差可以控制在5%以内。实验结果表明根据吸光度线性混合模型计算橄榄油掺杂其他食用油的掺杂比例是准确可行的,可以用于橄榄油掺杂的组分定量检测。
A linear absorbance mixing model of adulterated olive oil was presented to quantitatively analyze the proportion of adulterated oil based on an equation derived from the Lambert-Beer's Law. According to theory of errors,the calculation error of adulteration proportion was analyzed,and the minimal detection error could be obtained at the wavelength where the difference between absorbances of olive oil and adulterated oil was the largest. A VIS/NIR spectrum acquisition system was assembled to validate the adulteration proportions of corn oil,peanut oil and soybean oil adulterated in olive oil. The results showed that the relative errors between calculation values and actual adulteration proportion values were less than5% for adulteration proportions above 10%,and correlation coefficients were respectively 0.999 2,0. 999 6and 0.999 7 with root-mean-square errors of 0.008 2,0.005 9 and 0.005 1,which proved that the method of calculating adulteration proportions of adulterating other oils in olive oil was correct based on the linear absorbance mixing model.
A linear absorbance mixing model of adulterated olive oil was presented to quantitatively analyze the proportion of adulterated oil based on an equation derived from the Lambert-Beer's Law. According to theory of errors,the calculation error of adulteration proportion was analyzed,and the minimal detection error could be obtained at the wavelength where the difference between absorbances of olive oil and adulterated oil was the largest. A VIS/NIR spectrum acquisition system was assembled to validate the adulteration proportions of corn oil,peanut oil and soybean oil adulterated in olive oil. The results showed that the relative errors between calculation values and actual adulteration proportion values were less than5% for adulteration proportions above 10%,and correlation coefficients were respectively 0.999 2,0. 999 6and 0.999 7 with root-mean-square errors of 0.008 2,0.005 9 and 0.005 1,which proved that the method of calculating adulteration proportions of adulterating other oils in olive oil was correct based on the linear absorbance mixing model.
引文
[1]ANDRIKOPOULOS N K,GIANNAKIS I G,TZAMTZIS V.Analysis of olive oil and seed oil triglycerides by capillary gas chromatography as a tool for the detection of the adulteration of olive oil[J].J Chromatogr Sci,2001,39(4):137-145.
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[6]张欣,杨瑞钰,陈迪,等.豆甾二烯用于特级初榨橄榄油掺假检测的研究[J].食品工业科技,2014,35(18):80-83,92.
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[8]钟诚,薛雅琳,王兴国,等.紫外光谱结合化学计量学检测初榨橄榄油掺伪研究[J].中国粮油学报,2013,28(10):113-117.
[9]翁欣欣,陆峰,王传现,等.近红外光谱-BP神经网络-PLS法用于橄榄油掺杂分析[J].光谱学与光谱分析,2009,29(12):3283-3287.
[10]庄小丽,相玉红,强洪,等.近红外光谱和化学计量学方法用于橄榄油品质分析与掺杂量检测[J].光谱学与光谱分析,2010,30(4):933-936.
[11]贡东军,王宇,董静,等.基于近红外光谱的橄榄油中玉米油掺杂量检测[J].食品工业科技,2014,35(4):62-65.
[12]邓平建,耿艺介,梁裕,等.快速鉴别掺伪橄榄油的拉曼光谱-聚类分析方法[J].中国油脂,2015,40(2):50-55.
[13]章颖强,董伟,张冰,等.基于拉曼光谱和最小二乘支持向量机的橄榄油掺伪检测方法研究[J].光谱学与光谱分析,2012,32(6):1554-1558.
[14]陈达,许云涛,李奇峰,等.基于多尺度二维相关拉曼光谱的橄榄油掺杂检测[J].纳米技术与精密工程,2016,14(1):60-65.
[15]钟诚,薛雅琳,王兴国,等.初榨橄榄油风味特征在掺伪检测中的应用[J].中国油脂,2013,38(12):84-87.
[2]黄飞,奉夏平,唐丽娜,等.橄榄油掺伪的气相色谱质谱鉴别方法研究[J].食品工业科技,2014,35(18):54-58.
[3]肖昌珍,吴渝,甘东生,等.食用植物油掺伪检测[J].中国油料作物学报,1999,21(1):63-66,73.
[4]魏明,廖成华.食用植物油掺伪的气相色谱检测方法研究[J].西南科技大学学报,2003,18(3):57-60.
[5]DIONISI F,PRODOLLIET J,TAGLIAFERRI E.Assessment of olive oil adulteration by reversed-phase high-performance liquid chromatography/amperometric detection of tocopherols and tocotrienols[J].J Am Oil Chem Soc,1995,72(12):1505-1511.
[6]张欣,杨瑞钰,陈迪,等.豆甾二烯用于特级初榨橄榄油掺假检测的研究[J].食品工业科技,2014,35(18):80-83,92.
[7]TORRECILLA J S,ROJO E,DOMINGUEZ J C,et al.A novel method to quantify the adulteration of extra virgin olive oil with low-grade olive oils by UV-Vis[J].J Agric Food Chem,2010,58(3):1679-1684.
[8]钟诚,薛雅琳,王兴国,等.紫外光谱结合化学计量学检测初榨橄榄油掺伪研究[J].中国粮油学报,2013,28(10):113-117.
[9]翁欣欣,陆峰,王传现,等.近红外光谱-BP神经网络-PLS法用于橄榄油掺杂分析[J].光谱学与光谱分析,2009,29(12):3283-3287.
[10]庄小丽,相玉红,强洪,等.近红外光谱和化学计量学方法用于橄榄油品质分析与掺杂量检测[J].光谱学与光谱分析,2010,30(4):933-936.
[11]贡东军,王宇,董静,等.基于近红外光谱的橄榄油中玉米油掺杂量检测[J].食品工业科技,2014,35(4):62-65.
[12]邓平建,耿艺介,梁裕,等.快速鉴别掺伪橄榄油的拉曼光谱-聚类分析方法[J].中国油脂,2015,40(2):50-55.
[13]章颖强,董伟,张冰,等.基于拉曼光谱和最小二乘支持向量机的橄榄油掺伪检测方法研究[J].光谱学与光谱分析,2012,32(6):1554-1558.
[14]陈达,许云涛,李奇峰,等.基于多尺度二维相关拉曼光谱的橄榄油掺杂检测[J].纳米技术与精密工程,2016,14(1):60-65.
[15]钟诚,薛雅琳,王兴国,等.初榨橄榄油风味特征在掺伪检测中的应用[J].中国油脂,2013,38(12):84-87.