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NIR在导热油定性识别中的应用研究

Research on the application of NIR in conducting oil test
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摘要 本文采用近红外光谱技术(NIR)区分识别矿物型和合成型两种类型的导热油,准确率100%。同时以区分识别矿物型导热油为例,对同一类型但属不同品牌的导热油进行区分识别,平均预测准确率95%。研究表明,该方法可用于定性识别不同性能的导热油。 In this article,Near-infrared spectroscopy had been applied to distinguish mineral and synthetic conducting oil. And a model which can recognize the brand of the oil from the same type of conducting oil had been developed. The average accuracy rate of prediction can reach 95%. Studies have shown that near infrared spectroscopy can be applied to recognize the conducting oils with different performance.
作者 许奕翔
机构地区 福建省锅炉压力容器检验研究院泉州分院
出处 《福建分析测试》 CAS 2015年第3期18-21,共4页 Fujian Analysis & Testing
关键词 近红外光谱 主成分分析法 导热油 conduction oil
分类号 O657.33 [理学—分析化学]
  • 相关文献

参考文献10

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  • 2Skrobot V L, Castro E V R Pereira R C C, et al. Use of Principal Component Analysis (PCA) and Linear Discrimi- nate Analysis (LDA) in Gas Chromatographic (G C ) Data in the Investigation of Gasoline Adulteration [J]. Energy & Fuels, 2007, 21: 3394-3400.
  • 3Lerma-Garcia M J, Simo-Alfonso E F, Mendez A, et al. Fast Separation and Determination of Sterols in Vegetable Oils by Ultraperformance Liquid Chromatography with At- mospheric Pressure Chemical Ionization Mass Spectrometry Detection [J]. J Agic Food Chem., 2010, 58:2771-2776.
  • 4Mannina L, D' Imperio M, Capitan i D, et al. 1H NMR Based Protocol for the Detection of Adulte rations of Re- fined Olive Oil with Refined Hazelnut Oil [J]. J Agric FoodChem. 2009.5 7 : 11550-11556.
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  • 10李祥辉,杨方,林振宇,邱彬,王丹红,吴长辉.基于近红外光谱和化学计量学方法的灵芝孢子油识别研究[J].红外,2012,33(12):27-32. 被引量：3

二级参考文献13

  • 1Cerretani L, Lerma-Garcia M J, Herrero-MartinezJ M, et al. Determination of Tocopherols and To-cotrienols in Vegetable Oils by Nanoliquid Chro-matography with Ultraviolet-visible Detection Usinga Silica Monolithic Column [J]. J Agric Food Chem,2010, 58: 757-761.
  • 2Skrobot V L, Castro E V R, Pereira R C C, et al. Useof Principal Component Analysis (PCA) and Lin-ear Discriminate Analysis (LDA) in Gas Chromato-graphic (GC) Data in the Investigation of GasolineAdulteration [J]. Energy Sz Fuels, 2007, 21: 3394-3400.
  • 3Lerma-Garcia M J, Simo-Alfonso E F, Mendez A,et al. Fast Separation and Determination of Sterolsin Vegetable Oils by Ultraperformance Liquid Chro-matography with Atmospheric Pressure ChemicalIonization Mass Spectrometry Detection [J]. J AgricFood Chem, 2010,58: 2771-2776.
  • 4Mannina L, D’Imperio M, Capitani D, et al. 1HNMR-Based Protocol for the Detection of Adulter-ations of Refined Olive Oil with Refined Hazelnut Oil[J]. J Agric Food Chem, 2009, 57: 11550—11556.
  • 5Say ago A, Garcia-Gonzalez D L, Morales M T, et al.Detection of the Presence of Refined Hazelnut Oil inRefined Olive Oil by Fluorescence Spectroscopy [J].J Agric Food Chem, 2007, 55: 2068—2071.
  • 6Vergara-Barberan M, Escrig-Domenech A, Lerma-Garcia M J, et al. Capillary Electrophoresis of FreeFatty Acids by Indirect Ultraviolet Detection: Ap-plication to the Classification of Vegetable Oils Ac-cording to Their Botanical Origin [J]. J Agric FoodChem, 2011, 59: 10775-10780.
  • 7Zou M, Zhang X,Qi X,et al. Rapid Authenticationof Olive Oil Adulteration by Raman Spectrometry[J]. J Agric Food Chem, 2009, 57: 6001-6006.
  • 8Sanchez-Hernandez L, Nozal L, Marina M L, et al.Determination of Nonprotein Amino Acids and Be-taines in Vegetable Oils by Flow Injection Triple-quadrupole Tandem Mass Spectrometry: A Screen-ing Method for the Detection of Adulterations ofOlive Oils [J]. J Agric Food Chem, 2012,60: 896-903.
  • 9Nicolai B, Beullens K, Bobelyn B, et al. Nondestruc-tive Measurements of Fruit and Vegetable Quality byMeans of NIR Spectroscopy: A Review [J]. Posthar-vest Biol Technol, 2007, 46: 99-118.
  • 10Lin H, Ying Y. Theory and Application of Near In-frared Spectroscopy in Assessment of Fruit Quality:A Review [J]. Sens Instrum Food Qua], 2009, 3: 130-141.

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福建分析测试
2015年 第3期

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