| 光谱学与光谱分析 |
|
|
|
|
|
| Miniature Near-Infrared Fibre Optic Spectrometer for the Quantitative Detection of Protein and Fat in Milk Powder |
| ZHANG Zhong-wei1, 2, WEN Zhi-yu1, 2, ZENG Tian-ling1, 2, WEI Kang-lin3, LIANG Yu-qian1, 2 |
1. Key Laboratory of Fundamental Science on Micro/Nano-Device and System Technology，Chongqing University, Chongqing 400044, China
2. Microsystem Research Center of Chongqing University, Chongqing 400044, China
3. College of Science, China Three Gorge University, Yichang 443002, China |
|
|
|
|
Abstract The method based on miniature near-infrared spectrometer combined with Y fiber optic probe to detect the protein and fat in milk powder by diffuse reflectance spectroscopy in the wavelength range of 900～1 700 nm was proposed. By selecting the appropriate spectral bands, the correction models of protein and fat were established with partial least squares algorithm using Unscrambler 9.7 Chemometrics software. The determination coefficients R2 of the correction modes are 0.987 and 0.986 for protein and fat respectively, and the root mean square errors RMSEC are 0.385 and 0.419 respectively. Using these correction models to predict the protein and fat contents with 30 sets of forecast sample data, the prediction standard deviation is SEPProtein=0.751 for protein, and is SEPFat=1.109 for fat. The results indicate that these correction models have prediction capability with unknown samples and meet the on line requirements.
|
|
Received: 2012-11-06
Accepted: 2013-02-24
|
|
|
|
Corresponding Authors:
ZHANG Zhong-wei
E-mail: zhxflying@126.com; zhzw@outlook.com
|
|
[1] Helrich K. Official Methods of Analysis of the Association of Official Chemists (15th ed.). Arlington: Association of Official Analytical Chemists Inc., 1990. 807.
[2] Kamizake N K K, Goncalves M M, Zaia C T B V, et al. Journal of Food Composition and Analysis, 2003, 16: 507.
[3] SHAN Yang, ZHU Xiang-rong, XU Qing-song, et al(单 杨, 朱向荣, 许青松, 等). Journal of Infrared and Millimeter Waves(红外与毫米波学报)，2010, 29(2): 128.
Kamizake N K K, Goncalves M M, Zaia C T B V, et al. Journal of Food Composition and Analysis, 2003, 16: 507.
[4] Mateo M J, O’Callaghan D J, Everard C D, et al. LWT-Food Science and Technology, 2009, 42: 950.
[5] Kalinin A V, Krasheninnikov V N, Potapov A V. Chemometrics and Intelligent Laboratory Systems, 2009, 97: 33.
[6] EI-Abassy R M, Eravuchira P J, Donfack P, et al. Vibrational Spectroscopy, 2011, 56: 3.
[7] Maria Raquel Cavalcanti Inácio, Maria de Fátima Vitória de Moura, Kássio Michell Gomes de Lima. Vibrational Spectroscopy, 2011, 57: 342.
[8] Theophile Theophanides. Infrared Spectroscopy-Materials Science, Engineering and Technology. John Wiley & Sons, 242. 2003.
[9] Barbara H Stuart. Infrared Spectroscopy: Fundamentals and Applications. John Wiley & Sons, 86. 2008.
[10] Yukihiro Ozaki, Fred W McClure, Alfred A Christy. Near-Infrared Spectroscopy in Food Science and Technology. John Wiley & Sons, 178. 2007.
|
| [1] |
LI Yu1, ZHANG Ke-can1, PENG Li-juan2*, ZHU Zheng-liang1, HE Liang1*. Simultaneous Detection of Glucose and Xylose in Tobacco by Using Partial Least Squares Assisted UV-Vis Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 103-110. |
| [2] |
JIA Hao1, 3, 4, ZHANG Wei-fang1, 3, LEI Jing-wei1, 3*, LI Ying-ying1, 3, YANG Chun-jing2, 3*, XIE Cai-xia1, 3, GONG Hai-yan1, 3, DING Xin-yu1, YAO Tian-yi1. Study on Infrared Fingerprint of the Classical Famous
Prescription Yiguanjian[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(10): 3202-3210. |
| [3] |
LUO Dong-jie, WANG Meng, ZHANG Xiao-shuan, XIAO Xin-qing*. Vis/NIR Based Spectral Sensing for SSC of Table Grapes[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(07): 2146-2152. |
| [4] |
WANG Bin1, 2, ZHENG Shao-feng2, GAN Jiu-lin1, LIU Shu3, LI Wei-cai2, YANG Zhong-min1, SONG Wu-yuan4*. Plastic Reference Material (PRM) Combined With Partial Least Square (PLS) in Laser-Induced Breakdown Spectroscopy (LIBS) in the Field of Quantitative Elemental Analysis[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(07): 2124-2131. |
| [5] |
CHENG Xiao-xiang1, WU Na2, LIU Wei2*, WANG Ke-qing2, LI Chen-yuan1, CHEN Kun-long1, LI Yan-xiang1*. Research on Quantitative Model of Corrosion Products of Iron Artefacts Based on Raman Spectroscopic Imaging[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(07): 2166-2173. |
| [6] |
ZHANG Mei-zhi1, ZHANG Ning1, 2, QIAO Cong1, XU Huang-rong2, GAO Bo2, MENG Qing-yang2, YU Wei-xing2*. High-Efficient and Accurate Testing of Egg Freshness Based on
IPLS-XGBoost Algorithm and VIS-NIR Spectrum[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(06): 1711-1718. |
| [7] |
XU Wei-xin, XIA Jing-jing, WEI Yun, CHEN Yue-yao, MAO Xin-ran, MIN Shun-geng*, XIONG Yan-mei*. Rapid Determination of Oxytetracycline Hydrochloride Illegally Added in Cattle Premix by ATR-FTIR[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(03): 842-847. |
| [8] |
LI Zi-yi1, LI Rui-lan1, LI Can-lin1, WANG Ke-ru2, FAN Jiu-yu3, GU Rui1*. Identification of Tibetan Medicine Zhaxun by Infrared Spectroscopy
Combined With Chemometrics[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(02): 526-532. |
| [9] |
WANG Chao1, LIU Yan1*, XIA Zhen-zhen2, WANG Qiao1, DUAN Shuo1. Fast Evaluation of Freshness in Crayfish (Prokaryophyllus clarkii) Cased on Near-Infrared Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(01): 156-161. |
| [10] |
ZHAO Jian-ming, YANG Chang-bao, HAN Li-guo*, ZHU Meng-yao. The Inversion of Muscovite Content Based on Spectral Absorption
Characteristics of Rocks[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(01): 220-224. |
| [11] |
CHEN Guo-xi1, 2, ZHOU Song-bin2*, CHEN Qi1, LIU Yi-sen2, ZHAO Lu-lu2, HAN Wei2. Detection of Hydrolyzed Leather Protein Adulteration in Infant Formula Based on Wavelength Attention Convolutional Network and Near-Infrared Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(12): 3811-3816. |
| [12] |
LI Qing-bo1, BI Zhi-qi1, CUI Hou-xin2, LANG Jia-ye2, SHEN Zhong-kai2. Detection of Total Organic Carbon in Surface Water Based on UV-Vis Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(11): 3423-3427. |
| [13] |
OUYANG Ai-guo, LIN Tong-zheng, HU Jun, YU Bin, LIU Yan-de. Optimization of Hardness Testing Model of High-Speed Iron Wheel by Laser-Induced Breakdown Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(10): 3109-3115. |
| [14] |
YUAN Ke-yan 1, WANG Rong2, WANG Xiang-xiang2, XUE Li-ping2, YU Li2*. Identification and Restoration of Pseudo-Hydrolyzed Animal Protein of Lacteus Camelus Based on iPLS Model of Near-Infrared Measurement Spectrum of 6 mm Detection Plate[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(10): 3143-3147. |
| [15] |
ZHAO Zhi-lei1, 2, 3, 4，WANG Xue-mei1, 2, 3，LIU Dong-dong1, 2, 3，WANG Yan-wei1, 2, 3，GU Yu-hong5，TENG Jia-xin1，NIU Xiao-ying1, 2, 3, 4*. Quantitative Analysis of Soluble Solids and Titratable Acidity Content in Angeleno Plum by Near-Infrared Spectroscopy With BP-ANN and PLS[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(09): 2836-2842. |
|
|
|
|
