| 光谱学与光谱分析 |
|
|
|
|
|
| Two-Dimensional Hetero-Spectral Near-Infrared and Mid-Infrared Correlation Spectroscopy for Discrimination Adulterated Milk |
| YU Ge1, YANG Ren-jie2, Lü Ai-jun1, TAN En-zhong1 |
1. Department of Mathematics and Physics, Beijing Institute of Petrochemical Technology, Beijing 102617, China
2. College of Engineering and Technology, Tianjin Agricultural University, Tianjin 300384, China |
|
|
|
|
Abstract New approach for discriminant analysis of adulterated milk is proposed based on combining hetero-spectral two-dimensional (2D) near-infrared (NIR) and mid-infrared (IR) correlation spectroscopy along with multi-way partial least squares discriminant analysis (NPLS-DA). Firstly, 36 pure milk samples were collected and 36 adulterated milk with starch samples (0.01 to 1 g·L-1) were prepared by adding appropriate mass of starch into pure milk. Then, one-dimensional NIR transmittance spectra and IR attenuated total reflection spectra of pure milk and adulterated milk with starch were measured at room temperature. And the synchronous 2D NIR-IR (4 200～4 800 vs. 900～1 700 cm-1) correlation spectra of all samples were calculated. Due to the trace of adulterants, the synchronous 2D IR-NIR correlation spectral differences between adulterated milk with starch and pure milk are very subtle. Consequently, it was impossible to directly distinguish whether the sample was pure milk or adulterated milk. Finally, 2D IR-NIR correlation spectra were to build a discriminant model to classify adulterated milk and pure milk. The classification accuracy rates of samples in calibration set and in prediction set were 95.8% and 100% respectively. Also, the NPLS-DA models were built based on 2D NIR and 2D IR correlation spectra, respectively. The classification accuracy rates of samples in prediction set were 95.8%. Comparison results showed that the NPLS-DA model could provide better results using 2D NIR-IR correlation spectra than using 2D NIR, and 2D IR correlation spectra. The proposed method can not only effectively extract the feature information of adulterants in milk, but also explores a new perspective method for detection of adulterated food.
|
|
Received: 2014-12-11
Accepted: 2015-03-25
|
|
|
|
Corresponding Authors:
YU Ge
E-mail: yuge@bipt.edu.cn
|
|
[1] Yang Renjie, Liu Rong, Xu Kexin, et al. Applied Spectroscopy, 2013, 67(12): 1363.
[2] YANG Ren-jie, LIU Rong, XU Ke-xin, et al(杨仁杰, 刘 蓉, 徐可欣, 等). Acta Photonica Sinica(光子学报), 2013, 42(5): 580.
[3] Noda I，Ozaki Y. John Wiley & Sons; Chichester, West Sussex, England, Hoboken, 2004.
[4] Noda I. Vib. Spectrosc.，2004，36(2): 143.
[5] Chen J, Zhou Q, Noda I, et al. Applied Spectroscopy, 2009, 63(8): 920.
[6] YANG Ren-jie, YANG Yan-rong, DONG Gui-mei, et al(杨仁杰, 杨延荣, 董桂梅, 等). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2014, 34(8): 2098.
[7] Yang Renjie, Liu Rong, Xu Kexin, et al. Proc. of SPIE, 2014, 8939: 893912-1.
[8] Yang Renjie, Liu Rong, Xu Kexin. Food Bioscience, 2013, 2: 61.
[9] Yang Renjie, Zhang Weiyu, Yang Yanrong, et al. Analytical Letters, 2014, 47(15): 2560.
[10] Yang Renjie, Liu Rong, Xu Kexin, et al. Anal. Methods, 2013, 5(21): 5949.
[11] Choi H C, Ryu S R, Ji H, et al. J. Phys. Chem. B, 2010, 114(34): 10979.
[12] Kim H J, Kim S B, Kim J K, et al. J. Phys. Chem. B, 2006, 110(46): 23123.
[13] Jung B, Matusewucz C, Ozaki Y. J. Phys. Chem B, 2000, 104: 7812.
[14] Jung Y, Chae J, Yu S, et al. Vibrational Spectroscopy, 2009, 51: 11.
[15] Barton II F E, Himmemsbach D S. Applied Spectroscopy, 1993, 47(11): 1920.
[16] Awichi A, Tee E, Srikanthan G. Applied Spectroscopy, 2002, 56(7): 897. |
| [1] |
LI Yang1, LI Xiao-qi1, YANG Jia-ying1, SUN Li-juan2, CHEN Yuan-yuan1, YU Le1, WU Jing-zhu1*. Visualisation of Starch Distribution in Corn Seeds Based on Terahertz Time-Domain Spectral Reflection Imaging Technology[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(09): 2722-2728. |
| [2] |
AN Huan-jiong1, ZHAI Chen2, MA Qian-yun1, ZHANG Fan1, WANG Shu-ya2, SUN Jian-feng1, WANG Wen-xiu1*. Quantitative Characterization of Wheat Starch Retrogradation by
Combining 2D-COS and Spectral Fusion[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(01): 162-168. |
| [3] |
DING Ji-gang1, HAN Dong-hai1, LI Yong-yu1*, PENG Yan-kun1, WANG Qi1, HAN Xi2. Simultaneous Non-Destructive On-Line Detection of Potato Black-Heart Disease and Starch Content Based on Visible/Near Infrared Diffuse Transmission Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2020, 40(06): 1909-1915. |
| [4] |
OUYANG Ai-guo, ZHENG Yi-lei, LI Bin, HU Jun, DU Xiu-yang, LI Xiong. Study on the Detection Method of Alum Content in Sweet Potato Starch by Terahertz Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2020, 40(03): 727-732. |
| [5] |
WANG Fan1, LI Yong-yu1*, PENG Yan-kun1, YANG Bing-nan2, LI Long1, LIU Ya-chao1. Multi-Parameter Potato Quality Non-Destructive Rapid Detection by Visible/Near-Infrared Spectra[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2018, 38(12): 3736-3742. |
| [6] |
GUAN Ai-hong1,2, LI Zhi1,2, GE Hong-yi1,2. The Qualitative and Quantitative Detection of Potassium Alum in Sweet Potato Starch Based on Terahestz Time-Domain Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2018, 38(01): 267-270. |
| [7] |
YU Ge1, YANG Ren-jie2, LÜ Ai-jun1, TAN En-zhong1. Detection of Adulterated Sesame Oil Based on Synchronous-Asynchronous Two-Dimensional Mid-Infrared Correlation Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2017, 37(04): 1105-1109. |
| [8] |
LI Qing, WANG Xiang-hui*, DU Juan, ZHANG Jie, CHEN Shu-de, QIAO Deng-jiang . Effect of 33 Hz Pulsed Electric Field on Insulin Amyloidosis [J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2016, 36(04): 1069-1074. |
| [9] |
LUO Xi1,2,3,4, WU Fang-xi1,2,3,4, XIE Hong-guang1,2,3,4, ZHU Yong-sheng1,2,3,4, ZHANG Jian-fu1,2,3,4*, XIE Hua-an1,2,3,4*. Research on Resistant Starch Content of Rice Grain Based on NIR Spectroscopy Model[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2016, 36(03): 697-701. |
| [10] |
YANG Ren-jie, YANG Yan-rong, DONG Gui-mei, DU Yan-hong, SHAN Hui-yong, ZHANG Wei-yu . Discrimination of Adulterated Milk Based on Euclidian Distances between Two-Dimensional Infrared Correlation Spectra [J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2014, 34(08): 2098-2101. |
| [11] |
DING Long-long, ZHANG Yan-hua*, GU Ji-you, TAN Hai-yan, ZHU Li-bin* . Determination of the Carboxyl Content of Oxidized Starch by Fourier Transform Infrared (FTIR) Spectroscopy [J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2014, 34(02): 401-404. |
| [12] |
MIAO Jing1, CAO Yu-zhen1*, YANG Ren-jie2, 3, LIU Rong2, SUN Hui-li4, XU Ke-xin2 . Identification of Adulterated Milk Based on Two-Dimensional Correlation Near-Infrared Spectra Parameterization and BP Neural Network [J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2013, 33(11): 3032-3035. |
| [13] |
LIU Rong1, YANG Ren-jie1, 2, MIAO Jing1, XU Ke-xin1 . Application of Kernel Orthogonal Projection to Latent Structure Discriminant Analysis in the Discrimination of Adulterated Milk[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2013, 33(08): 2083-2086. |
| [14] |
TU Zong-cai1, 2, YIN Yue-bin1, ZHANG Qiu1, WANG Hui1 . Effect of Dynamic High-Pressure Micro-Fluidization on the Structure of Maize Amylose [J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2013, 33(05): 1379-1382. |
| [15] |
LIU Pei-ling1,2, SHEN Qun1, HU Xiao-song1, WU Ji-hong1* . X-Ray Diffraction Study of High Hydrostatic Pressure on Crystalline Structure of Different Type Starches [J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2012, 32(09): 2579-2582. |
|
|
|
|
