茶油脂肪酸组分近红外模型构建研究
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摘要
采用GC2010-Plus气相色谱仪测定了104份油茶籽油样本的脂肪酸组成,同时采用NIRFlexN-500型近红外光谱仪对104份油茶籽油样本进行了近红外光谱图谱采集、模型建立及验证。结果表明:各脂肪酸组分回归方程建立选择PLS明显优于PCR;各脂肪酸组分近红外模型的Q值均大于0.6,平均值为0.68,具有应用价值;各脂肪酸组分定标集的平均相关系数(Rc)为0.87,预测标准差(SEC)为0.32,验证集的平均相关系数(Rv)为0.82,预测标准差(SEP)为0.34,表明利用步琦近红外光谱仪能较好的测定茶油脂肪酸组分的含量。
104 fatty acid composition of Camellia oleifera oil have been measured by GC2010-Plus Gas Chromatograph, so do as the near infrared spectrum map acquisition, model construction and verification by NIRFlexN-500 Near Infrared Spectrometer.The results indicated that PLS was significantly better than PCR in the establishment of regression equation of each fatty acid composition, whose Q value were all more than 0.6. The average Q value was 0.68, so the model had application value. The average correlation coefficient(Rc) and standard deviation(SEC) of calibration set were 0.87 and 0.32, respectively, and the Rv and SEP of validation set were 0.82 and 0.34. We can see that the NIRFlexN-500 Near Infrared Spectrometer from BUCHI can well measure the content of fatty acid composition of C. oleifera oil.
104 fatty acid composition of Camellia oleifera oil have been measured by GC2010-Plus Gas Chromatograph, so do as the near infrared spectrum map acquisition, model construction and verification by NIRFlexN-500 Near Infrared Spectrometer.The results indicated that PLS was significantly better than PCR in the establishment of regression equation of each fatty acid composition, whose Q value were all more than 0.6. The average Q value was 0.68, so the model had application value. The average correlation coefficient(Rc) and standard deviation(SEC) of calibration set were 0.87 and 0.32, respectively, and the Rv and SEP of validation set were 0.82 and 0.34. We can see that the NIRFlexN-500 Near Infrared Spectrometer from BUCHI can well measure the content of fatty acid composition of C. oleifera oil.
引文
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[8] Automatic Calibration Method, R. Bossart, J. Grabinski, United States Patent 6,480,795B1.
[2]陆婉珍.现代近红外光谱分析技术[M].北京:中国石化出版社,2007:200-203.
[3]李娟,范璐,邓德文,等.近红外光谱法主成分分析6种植物油脂的研究[J].河南工业大学学报(自然科学版),2008,29(5):18-21.
[4]鲍丹青,毕艳兰,邓德文,等.利用近红外光谱技术快速测定大豆油的过氧化值[J].中国粮油学报,2008,23(6):206-209.
[5]耿响,周丽萍,马欣欣,等.基于近红外光谱的茶粕中含油量和水分快速测定方法研究[J].安徽农学通报,2017,23(16):130-132.
[6]文韬,郑立章,龚中良,等.基于近红外光谱技术的茶油脂肪酸含量的快速检测[J].湖南农业大学学报(自然科学版),2016,42(6):676-681.
[7]刘翠银,黄丽,罗莫放.现代检测技术在山茶油掺伪识别中的应用研究[J].轻工科技,2015(2):3-4.
[8] Automatic Calibration Method, R. Bossart, J. Grabinski, United States Patent 6,480,795B1.