| 光谱学与光谱分析 |
|
|
|
|
|
| Detection of Plasticizers in Edible Essence by Near-Infrared Spectrometry |
| LI Xiang-hui1, YANG Fang2*, LIN Zhen-yu1, QIU Bin1, WANG Dan-hong2 |
1. MOE Key Laboratory of Analysis and Detection for Food Safety, Fujian Provincial Key Laboratory of Analysis and Detection Technology for Food Safety, Department of Chemistry, Fuzhou University, Fuzhou 350108, China
2. Fujian Entry-Exit Inspection & Quarantine Bureau of P.R.C, Fuzhou 350001, China |
|
|
|
|
Abstract Based on the initial near-infrared spectrum of edible essence samples and its mixture with DEHP and DINP, we chose the wavelength ranges of 8 800～8 540 and 7 500～5 085 cm-1 to use the principal component analysis (PCA) method to distinguish these three types of samples. The correct rate of the identification is proved to be 100%. Meanwhile, we measured the content of DEHP and DINP (with the concentration ranging between 0 and 100 mg·kg-1) in the edible essence and established the quantitative analysis model by using partial least squares (PLS). It was found that the relative errors of the prediction results of DEHP and DINP are -1.23%～3% and -1%～3.6%, respectively, and the relative root-mean-square errors of prediction (RRMSEP) of them are 1.39 and 0.98, respectively. This study provides a simple, rapid and accurate method to detect the additive dosage of plasticizing agents in edible essence in the food industry.
|
|
Received: 2012-07-10
Accepted: 2012-11-15
|
|
|
|
Corresponding Authors:
YANG Fang
E-mail: yangf@fjciq.gov.cn
|
|
[1] George C, Prest H. Agilent Technologies, 2001, 3: 1.
[2] Luypaert J, Massart D L, Vander Heyden Y. Talanta, 2007, 72: 865.
[3] Chen J, Arnold M A, Small G W. Anal. Chem., 2004, 76: 5405.
[4] Armenta S, Garrigues S, Guardia M de la. Analytica Chimica Acta, 2007, 596: 330.
[5] André N, Labbé N, Rials T G, et al. J. Mater. Sci., 2006, 41: 1879.
[6] GE Jiong, WANG Wei-miao, ZHANG Jian-ping（葛 炯，王维妙，张建平）. J. Instumental Analysis(分析测试学报), 2009, 28(6): 742.
[7] Luo Shenglin, Zhang Erlong, Su Yongping, et al. Biomaterials, 2011, 32: 7127.
[8] Quirk B J, Desmet K D, Henry M, et al. Front Biosci (Elite Ed)., 2012, 1(4): 818.
[9] Mauer L J, Chernyshova A A, Hiatt A, et al. J. Agric. Food Chem., 2009, 57: 3974.
[10] SUN Shu-min, GUO Bo-li, WEI Yi-min, et al(孙淑敏，郭波莉，魏益民, 等). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2011, 31(4): 937.
|
| [1] |
XUE Fang-jia, YU Jie*, YIN Hang, XIA Qi-yu, SHI Jie-gen, HOU Di-bo, HUANG Ping-jie, ZHANG Guang-xin. A Time Series Double Threshold Method for Pollution Events Detection in Drinking Water Using Three-Dimensional Fluorescence Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(10): 3081-3088. |
| [2] |
ZHANG Zi-hao1, GUO Fei3, 4, WU Kun-ze1, YANG Xin-yu2, XU Zhen1*. Performance Evaluation of the Deep Forest 2021 (DF21) Model in
Retrieving Soil Cadmium Concentration Using Hyperspectral Data[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(08): 2638-2643. |
| [3] |
JIANG Wan-li1, 2, SHI Jun-sheng1, 2*, JI Ming-jiang1, 2. Establishment of Visible and NIR Spectral Reflectance Database of Plant Leaves and Principal Component Analysis[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(08): 2366-2373. |
| [4] |
LU Wan-hong, LI Peng*, WANG Chu-biao, LIN Yan, LUO Jian-zhong. Identifying Eucalypt Hybrids and Cross Parents by Near Infrared Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2020, 40(03): 873-877. |
| [5] |
LAO Wan-li, LI Gai-yun*, CHEN Yi, XIANG Qin, WANG Chao, HUANG An-min. Qualitative and Quantitative Analysis of Two Types of Wood Plastic Composites[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2019, 39(09): 2807-2811. |
| [6] |
SHANG Zhi-wei1, ZHAO Yun2, SHEN Qi1*, WANG Xian-ping1, XU Jing1, YANG Sen1, TIAN Shi-gang1, WEN He1. Quality Analysis with Near Infrared Spectroscopy in Perilla Seed[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2017, 37(12): 3719-3724. |
| [7] |
MA Dian-xu, LIU Gang*, OU Quan-hong, YU Hai-chao, LI Hui-mei, LIU Yan . Discrimination of Seven Species of Boletus with Fourier Transform Infrared Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2016, 36(08): 2479-2486. |
| [8] |
LAO Wan-li1, HE Yu-chan1, LI Gai-yun1*, ZHOU Qun2 . The Use of FTIR Coupled with Partial Least Square for Quantitative Analysis of the Main Composition of Bamboo/Polypropylene Composites[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2016, 36(01): 55-59. |
| [9] |
ZHANG Bing-fang1, 2, YUAN Li-bo1*, KONG Qing-ming3, SHEN Wei-zheng3, ZHANG Bing-xiu4, LIU Cheng-hai5 . Rapid Discriminating Hogwash Oil and Edible Vegetable Oil Using Near Infrared Optical Fiber Spectrometer Technique [J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2014, 34(10): 2723-2727. |
| [10] |
WANG Hui-fang1, 2, WANG Ji-hua2, DONG Ying-ying2, GU Xiao-he2, HUO Zhi-guo1* . Monitoring Freeze Stress Levels on Winter Wheat from Hyperspectral Reflectance Data Using Principal Component Analysis[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2014, 34(05): 1357-1361. |
| [11] |
ZHANG Bing-fang1, 2, YUAN Li-bo1*, ZHANG Bing-xiu3 . Study on Predicting Total Acid Content and Soluble Sugar of Tomato Juice by Near Infrared Optical Fiber Spectrometer Technique [J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2014, 34(02): 350-353. |
| [12] |
DONG Ruo-yan, WANG Xi-chang, LIU Yuan*, WANG Xiao-yan, WU Hao . Rapid Nondestructive Detection of Phosphate Content in Hairtail Surimi and Surimi-Based Food (Kamaboko) [J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2013, 33(06): 1542-1546. |
| [13] |
GUO Li1, ZHANG Yi1*, Lü Jin-yan2, GAO Wen-bin2, WU Shi-fa1, WANG Ruo-yu2 . Multivariate Statistical Analysis of Serum from Breast Cancer Patients Using Surface Enhanced Raman Spectrum[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2013, 33(06): 1553-1556. |
| [14] |
XU Li-peng, GE Liang-quan*, GU Yi, LIU Min, ZHANG Qing-xian, LI Fei, LUO Bin . Research on the Application of Principal Component Analysis and Improved BP Neural Network to the Determination of Fe and Ti Contents in Geological Samples[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2013, 33(05): 1392-1396. |
| [15] |
WANG Xiao-yan, WANG Xi-chang*, LIU Yuan*, DONG Ruo-yan. Application of Near Infrared Spectroscopy Technique Based on Support Vector Machine in the Measurement of Moisture and Protein Contents in Surimi [J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2012, 32(09): 2418-2421. |
|
|
|
|
