Abstract
Low field nuclear magnetic resonance (NMR) technique was used in this study to detect adulterated milk (mixed with water, salt, urea and sucrose) and pure milk, combining with principal component analysis method (PCA), partial least squares discriminant analysis (PLS-DA) and linear discriminant analysis (LDA)The results showed that adulterated milks showed a certain regularity distribution with adulterant proportion in the PCA score plot, and was easy to identify. PLS-DA and LDA were used to establish the discriminant models for all adulterated milks. The accuracy discrimination rates using these two methods to detect milk adulterated with water and urea both were 100%, However, when the two methods were utilizied to investigate the milk mixted with salt or, sucrose respectively, the accuracy discrimination rates were 83.33% and 100%, or 73.33% and 76.67%. Thus, PCA, PLS-DA and LDA could be used for the rapidly analysing data of low field NMR, and LDA showed the highest identification accuracy.
Publication Date
7-28-2016
First Page
51
Last Page
55
DOI
10.13652/j.issn.1003-5788.2016.07.012
Recommended Citation
Yabin, CHEN; Meihong, LIU; Songlei, WANG; Longguo, WU; Xiaoguang, HE; and Jianguo, HE
(2016)
"Rapid detection of adulterated milk by low-field nuclear magnetic resonance combined with chemometric method,"
Food and Machinery: Vol. 32:
Iss.
7, Article 12.
DOI: 10.13652/j.issn.1003-5788.2016.07.012
Available at:
https://www.ifoodmm.cn/journal/vol32/iss7/12
References
[1] 李太平, 马双青, 常建军. 西宁市场市售鲜牛奶的掺假调查[J]. 中国奶牛, 2003(4): 53-54.
[2] CHALAND B, MARIETTE F, MARCHAL P, et al. Nuclear magnetic resonance relaxometric characterization of fat and water states in soft and hard cheese[J]. Journal of Dairy Research, 2000, 67(4): 609-618.
[3] HULLBERG A, BERTRAM H C. Relationships between sensory perception and water distribution determined by low-field NMR T(2) relaxation in processed pork - impact of tumbling and RN(-) allele[J]. Meat Science, 2005, 69(4): 709-720.
[4] 邵小龙, 张蓝月, 冯所兰. 低场核磁技术检测芝麻油掺假[J]. 食品科学, 2014, 35(20): 110-113.
[5] 史然. 油脂LF-NMR检测条件的优化及在油脂品质监测中的应用[D]. 上海: 上海理工大学, 2013: 5-15.
[6] 王乐, 黎勇, 胡健华. 核磁共振法鉴别食用植物油掺伪餐饮业废油脂[J]. 中国油脂, 2008, 33(10): 75-77.
[7] JIANG Chao, HAN Jian-zhong, FAN Jia-li, et al. Rapid detection of adulterated milk by low field-nuclear magnetic resonance coupled with PCA method[J]. Transactions of the Chinese Society of Agricultural Engineering, 2010, 26(9): 340-344.
[8] 刘颖, 曹佳佶, 章浩伟, 等. 低场核磁共振技术快速检测鲜乳水分方法研究[J]. 食品科学, 2014, 35(14): 93-96.
[9] 何晓群. 多元统计分析[M]. 北京: 中国人民大学出版社, 2004: 135-165.
[10] 林向阳. 核磁共振及成像技术在面包制品加工与储藏过程中的研究[D]. 南昌: 南昌大学, 2006: 8-10.
[11] LUCAS T, WAGENER M, BAREY P, et al. NMR assessment of mix and ice cream: Effect of formulation on liquip water and ice[J]. International Dairy Journal, 2005, 15(10): 1 064-1 073.
[12] ALESSIA Lodi, AMIR M Abduljalil, YAEL Vodovotz. Characterization of water distribution in bread during storage using magnetic resonance imaging[J]. Magnetic Resonance Imaging, 2007(25): 1 449-1 458.
[13] 阮榕生. 核磁共振技术在食品和生物体系中的应用[M]. 北京: 中国轻工出版社, 2009: 1-36.