光谱学与光谱分析 |
|
|
|
|
|
Analysis and Discrimination of Infant Powdered Milk via FTIR Spectroscopy |
DENG Yue-e1,2,ZHOU Qun2,SUN Su-qin2* |
1. Department of Chemical Engineering, Henan Institute of Science and Technology, Xinxiang 453003, China 2. Department of Chemistry, Tsinghua University, Beijing 100084, China |
|
|
Abstract Six kinds of infant powdered milk were identified by Fourier transform infrared spectra (FTIR) and their corresponding second derivative infrared spectra. The main nutritious components such as lipid (1 747, 2 854 and 2 926 cm-1), protein (1 658 and 1 540 cm-1), and carbohydrate(1 200-900 cm-1) of had distinct fingerprint characteristics of FTIR spectra. Maltodextrin, sucrose and lactose also had obvious spectral characteristics, which changed with different added content. For the samples from the same factory but with different sorts, there was some dissimilarity in the relative intensities of infrared absorption peaks due to the difference in fat, protein and carbohydrate. For the samples of the same sort but from different factories, there are certain similarities in the IR spectra, however, the second derivative infrared spectra present different fingerprint characteristics. This analytical method is fast and direct for evaluating the quality of infant powdered milk.
|
Received: 2005-05-13
Accepted: 2005-09-28
|
|
Corresponding Authors:
SUN Su-qin
|
|
Cite this article: |
DENG Yue-e,ZHOU Qun,SUN Su-qin. Analysis and Discrimination of Infant Powdered Milk via FTIR Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2006, 26(04): 636-639.
|
|
|
|
URL: |
https://www.gpxygpfx.com/EN/Y2006/V26/I04/636 |
[1] LUO Cheng-xiang(骆承庠). Technology of Milk and Dairy Products(Second Edition)(乳与乳制品工艺学)(第2版). Beijing: China Agricultural Press(北京:中国农业出版社),1999. 211. [2] XU Zong-liang,XIA Yuan-jun,GONG Jun(徐宗良, 夏元军, 巩 军). China Diary Industry(中国乳品工业),2002,30(2):40. [3] SUN Su-qin,ZHOU Qun,LIANG Xi-yun ,YANG Xian-rong(孙素琴, 周 群, 梁曦云, 杨显荣). Spectroscopy and Spectral Analysis(光谱学与光谱分析),2002,22(4):600. [4] SUN Su-qin,LIANG Xi-yun,YANG Xian-rong(孙素琴,梁曦云,杨显荣). Chinese Journal of Analytical Chemistry(分析化学),2001,29(5):552. [5] XIE Jing-xi, CHANG Jun-biao, WANG Xu-ming(谢晶曦,常俊标,王绪明). The Application of Infrared Spectroscopy in Organic Chemistry and Medical Chemistry(红外光谱在有机化学和药物化学中的应用). Beijing: Science Press(北京:科学出版社),2001. 70, 189, 302.
|
[1] |
YANG Cheng-en1, 2, LI Meng3, LU Qiu-yu2, WANG Jin-ling4, LI Yu-ting2*, SU Ling1*. Fast Prediction of Flavone and Polysaccharide Contents in
Aronia Melanocarpa by FTIR and ELM[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 62-68. |
[2] |
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. |
[3] |
GUO Ya-fei1, CAO Qiang1, YE Lei-lei1, ZHANG Cheng-yuan1, KOU Ren-bo1, WANG Jun-mei1, GUO Mei1, 2*. Double Index Sequence Analysis of FTIR and Anti-Inflammatory Spectrum Effect Relationship of Rheum Tanguticum[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 188-196. |
[4] |
CHU Bing-quan1, 2, LI Cheng-feng1, DING Li3, GUO Zheng-yan1, WANG Shi-yu1, SUN Wei-jie1, JIN Wei-yi1, HE Yong2*. Nondestructive and Rapid Determination of Carbohydrate and Protein in T. obliquus Based on Hyperspectral Imaging Technology[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3732-3741. |
[5] |
GUO Jing-fang, LIU Li-li*, CHENG Wei-wei, XU Bao-cheng, ZHANG Xiao-dan, YU Ying. Effect of Interaction Between Catechin and Glycosylated Porcine
Hemoglobin on Its Structural and Functional Properties[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(11): 3615-3621. |
[6] |
CHENG Hong1, YAN Ding-ce1*, WU Li-qing2, XU Jun3. Spectral Magnitude Uncertainty in Measurement of Protein Circular
Dichroism Spectra—An Empirical Study on Cytochrome C[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(10): 3105-3110. |
[7] |
ZHANG Peng1, 3, YANG Yi-fan1, WANG Hui1, TU Zong-cai1, 2, SHA Xiao-mei2, HU Yue-ming1*. A Review of Structural Characterization and Detection Methods of Glycated Proteins in Food Systems[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(09): 2667-2673. |
[8] |
LIU Wen-bo, LIU Jin, HAN Tong-shuai*, GE Qing, LIU Rong. Simulation of the Effect of Dermal Thickness on Non-Invasive Blood Glucose Measurement by Near-Infrared Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(09): 2699-2704. |
[9] |
TIAN Ze-qi1, WANG Zhi-yong1, YAO Jian-guo1, GUO Xu1, LI Hong-dou1, GUO Wen-mu1, SHI Zhi-xiang2, ZHAO Cun-liang1, LIU Bang-jun1*. Quantitative FTIR Characterization of Chemical Structures of Highly Metamorphic Coals in a Magma Contact Zone[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(09): 2747-2754. |
[10] |
ZHANG Xiao-xu1, LIN Xiao-xian3, ZHANG Dan2, ZHANG Qi1, YIN Xue-feng2, YIN Jia-lu3, 4, ZHANG Wei-yue4, LI Yi-xuan1, WANG Dong-liang3, 4*, SUN Ya-nan1*. Study on the Analysis of the Relationship Between Functional Factors and Intestinal Flora in Freshly Stewed Bird's Nest Based on Fourier Transform Infrared Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(08): 2452-2457. |
[11] |
ZHANG Hai-liang1, XIE Chao-yong1, LUO Wei1, WANG Chen2, NIE Xun1, TIAN Peng1, LIU Xue-mei3, ZHAN Bai-shao1*. Salmon Fat Visualization Based on MCR-ALS Hyperspectral
Reconstruction[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(08): 2601-2607. |
[12] |
LUO Zheng-fei1, GONG Zheng-li1, 2, YANG Jian1, 2*, YANG Chong-shan2, 3, DONG Chun-wang3*. Rapid Non-Destructive Detection Method for Black Tea With Exogenous Sucrose Based on Near-Infrared Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(08): 2649-2656. |
[13] |
WANG Yu-hao1, 2, LIU Jian-guo1, 2, XU Liang2*, DENG Ya-song2, SHEN Xian-chun2, SUN Yong-feng2, XU Han-yang2. Application of Principal Component Analysis in Processing of Time-Resolved Infrared Spectra of Greenhouse Gases[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(07): 2313-2318. |
[14] |
CHEN Rui1, WANG Xue1, 2*, WANG Zi-wen1, QU Hao1, MA Tie-min1, CHEN Zheng-guang1, GAO Rui3. Wavelength Selection Method of Near-Infrared Spectrum Based on
Random Forest Feature Importance and Interval Partial
Least Square Method[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(04): 1043-1050. |
[15] |
LIU Rong1, 2, WANG Miao-miao1, 2 , SUN Ze-yu1, 2, CHEN Wen-liang1, 2, LI Chen-xi2*, XU Ke-xin1, 2. Research on Temperature Disturbance of Glucose Solution With
Two-Trace Two-Dimensional Correlation Spectrum Method[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(04): 1051-1055. |
|
|
|
|