光谱学与光谱分析 |
|
|
|
|
|
FTIR and Classification Study on the Powdered Milk with Different Assist Material |
ZHOU Jing1,2,SUN Su-qin2,LI Yong-jun1,ZHOU Qun2 |
1. Gansu Center for Disease Prevention and Control, Lanzhou 730000, China 2. Department of Chemistry, Tsinghua University, Beijing 100084,China |
|
|
Abstract The near infrared spectrum atlases of milk powders mingled with different adjuvant are the object for cluster analysis. Drawing assistance from the disparity in infrared fingerprint atlas that change according to the contents of chemical constituent, and making mingled component models, the milk powders mingled with different adjuvant were taken for a rapid sorting test using SIMCA clustering analytical method. In the experiment, two hundred fifty sorts of milk powders in the markets from different manufacturers were scanned by near infrared ray, and were tested with reproducibility determination. It was found difficult to extract fingerprint characters just from the external appearance of the near infrared spectrum atlases from milk powders mingled with different adjuvant, and it is needed to adopt pattern recognition technique to determine intelligently. One hundred sixty atlases were drawn out randomly for cluster analysis, and unknown samples were pretested. Results showed that the milk powders mingled with different adjuvant can be identified by near infrared spectrum analysis associated with cluster analysis methods, notwithstanding the similar near infrared spectrum atlases of different sample were difficult to identify directly. No overlapping phenomenon was found among milk powders mingled with different adjuvant, and they did not interfere with each other. The results from clustering spectra between samples were satisfactory, and the correct ratios of blind detections were over 90﹪. In addition, the correct ratios of this method may be elevated remarkably with sufficient number of samples, increasing training set sample quantity and sampling representation, and strengthening the standard degree of manipulation. It is concluded that the designed model to determine milk powders mingled with different adjuvant is rational, and the determination capability is fine.
|
Received: 2007-09-12
Accepted: 2007-12-16
|
|
Corresponding Authors:
ZHOU Jing
E-mail: zhouziming99@126.com
|
|
[1] XIAO Yan(晓 燕). Standard & Quality of Light Industry(轻工标准与质量), 2001, (2): 47. [2] LI Mao-sheng(李茂胜). China Diary Industry(中国乳品工业), 2001, 29(1): 33. [3] XIA Chao-hong, DAI Qi, FANG Wei, et al(夏朝红, 戴 奇, 房 韦, 等). Journal of Wuhan University of Technology(武汉理工大学学报), 2007, 29(1): 45. [4] DENG Yue-e, ZHOU Qun, SUN Su-qin(邓月娥,周 群,孙素琴). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2006, 26(4): 636. [5] QU Hai-bin, YANG Hai-lei, CHENG Yi-yu (瞿海斌, 杨海雷,程翼宇). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2006, 26(1): 60. [6] DENG Yue-e, ZHOU Qun, SUN Su-qin(邓月娥,周 群,孙素琴). Spectroscopy and Spectral Analysis(光谱学与光谱分析),2005, 25(12): 1972. [7] ZHOU Qun, SUN Su-qin, LEUNG Hi-win(周 群,孙素琴,梁曦云). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2003, 23(3): 509. [8] DONG Bin, SUN Su-qin, ZHOU Hong-tao, et al(董 彬, 孙素琴, 周红涛, 等). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2002, 22(2): 232. [9] PENG Yong, SUN Su-qin, ZHAO Zhong-zhen, et al(彭 勇, 孙素琴, 赵中振, 等). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2004, 24(6): 679. [10] Perkin Elmer Corporation. SIMCA Procedures, 1996, 27. |
[1] |
LI Shu-jie1, LIU Jie1, DENG Zi-ang1, OU Quan-hong1, SHI You-ming2, LIU Gang1*. Study of Germinated Rice Seeds by FTIR Spectroscopy Combined With Curve Fitting[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(06): 1832-1840. |
[2] |
ZHANG Yan-ru1, 2, SHAO Peng-shuai1*. Study on the Effects of Planting Years of Vegetable Greenhouse on the
Cucumber Qualties Using Mid-IR Spectroscopoy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(06): 1816-1821. |
[3] |
SHI Wen-qiang1, XU Xiu-ying1*, ZHANG Wei1, ZHANG Ping2, SUN Hai-tian1, 3, HU Jun1. Prediction Model of Soil Moisture Content in Northern Cold Region Based on Near-Infrared Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(06): 1704-1710. |
[4] |
WANG Xue-pei1, 2, ZHANG Lu-wei1, 2, BAI Xue-bing3, MO Xian-bin1, ZHANG Xiao-shuan1, 2*. Infrared Spectral Characterization of Ultraviolet Ozone Treatment on Substrate Surface for Flexible Electronics[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(06): 1867-1873. |
[5] |
WANG Yue1, 3, 4, CHEN Nan1, 2, 3, 4, WANG Bo-yu1, 5, LIU Tao1, 3, 4*, XIA Yang1, 2, 3, 4*. Fourier Transform Near-Infrared Spectral System Based on Laser-Driven Plasma Light Source[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(06): 1666-1673. |
[6] |
FENG Rui-jie1, CHEN Zheng-guang1, 2*, YI Shu-juan3. Identification of Corn Varieties Based on Bayesian Optimization SVM[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(06): 1698-1703. |
[7] |
YU Zhi-rong, HONG Ming-jian*. Near-Infrared Spectral Quantitative Analysis Network Based on Grouped Fully Connection[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(06): 1735-1740. |
[8] |
XIE Yu-yu1, 2, 3, HOU Xue-ling1, CHEN Zhi-hui2, AISA Haji Akber1, 3*. Density Functional Theory Studies on Structure and Spectra of Salidroside Molecule[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(06): 1786-1791. |
[9] |
MENG Fan-jia1, LUO Shi1, WU Yue-feng1, SUN Hong1, LIU Fei2, LI Min-zan1*, HUANG Wei3, LI Mu3. Characteristic Extraction Method and Discriminant Model of Ear Rot of Maize Seed Base on NIR Spectra[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(06): 1716-1720. |
[10] |
PENG Yan-fang1, WANG Jun1, WU Zhi-sheng2*, LIU Xiao-na3, QIAO Yan-jiang2*. NIR Band Assignment of Tanshinone ⅡA and Cryptotanshinone by
2D-COS Technology and Model Application Tanshinone Extract[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(06): 1781-1785. |
[11] |
TIAN Xue1, CHE Qian1, YAN Wei-min1, OU Quan-hong1, SHI You-ming2, LIU Gang1*. Discrimination of Millet Varieties and Producing Areas Based on Infrared Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(06): 1841-1847. |
[12] |
HU Bin1, 2, FU Hao1, WANG Wen-bin1, ZHANG Bing1, 2, TANG Fan3*, MA Shan-wei1, 2, LU Qiang1, 2*. Research on Deep Sorting Approach Based on Infrared Spectroscopy for High-Value Utilization of Municipal Solid Waste[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(05): 1353-1360. |
[13] |
YAN Ling-tong, LI Li, SUN He-yang, XU Qing, FENG Song-lin*. Spectrometric Investigation of Structure Hydroxyl in Traditional Ceramics[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(05): 1361-1365. |
[14] |
WANG Li-qi1, YAO Jing1, WANG Rui-ying1, CHEN Ying-shu1, LUO Shu-nian2, WANG Wei-ning2, ZHANG Yan-rong1*. Research on Detection of Soybean Meal Quality by NIR Based on
PLS-GRNN[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(05): 1433-1438. |
[15] |
WANG Yan-ru, TANG Hai-jun*, ZHANG Yao. Study on Infrared Spectral Detection of Fuel Contamination in Mobil Jet Oil II Lubricating Oil[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(05): 1541-1546. |
|
|
|
|