光谱学与光谱分析 |
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Potentiality of Synchronous Fluorescence Technology for Determination of Reconstituted Milk Adulteration in Fresh Milk |
LIU Huan, HAN Dong-hai*, WANG Shi-ping* |
College of Food Science and Nutritional Engineering,China Agricultural University,Beijing 100083,China |
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Abstract In the present research, synchronous fluorescence technique was used for qualitative and quantitative detection of reconstituted milk mixed into two kinds of milk samples, raw milk and pasteurized milk, respectively. The total accuracy of sample was used to evaluate the performance of the qualitative discrimination models. The correlation coefficient (r), the root mean square error of correction (RMSEC) and the root mean square error of prediction (RMSEC) were used to evaluate the performance of the quantitative analysis models. The constant wavelength difference (Δλ) between the excitation and emission scanning was determined to be 80 nm from three-dimensional fluorescence spectrum of milk. The total discrimination accuracy was 100% by partial least squares discrimination analysis (PLS-DA) for raw milk, pasteurized milk and reconstituted milk samples. When checking whether the raw milk and pasteurized milk were mixed with reconstituted milk, the total accuracy of calibration samples was 100% and the accuracy of prediction samples was 75% and 81.25%, respectively. The effects of qualitative discrimination models were satisfactory. The PLS regression was used for quantitative analysis of the reconstituted milk content mixed in raw milk and pasteurized milk. The correlation coefficients of actual values versus predicted values were 0.911 2 and 0.911 2, respectively. The RMSEC was 0.042 2 and 0.038 4, respectively. The RMSEP was 0.054 8 and 0.057 5, respectively. The correlation coefficients of quantitative analysis models could reach up to 0.9. The results showed that synchronous fluorescence technology could be applied for rapid detection of reconstituted milk mixed in fresh milk.
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Received: 2014-05-15
Accepted: 2014-07-22
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Corresponding Authors:
HAN Dong-hai, WANG Shi-ping
E-mail: handh@cau.edu.cn;wang744447@126.com
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[1] The Standard of Agriculture of P.R.China, NY/T939—2005. Identification of Reconstituted Milk in Pasteurized and UHT Milk(中华人民共和国农业行业标准NY/T939—2005. 巴氏杀菌乳和UHT灭菌乳中复原乳的鉴定). [2] Karoui R,De Baerdemaeker J. Food Chemistry,2007,102:621. [3] Andersen C M,Mortensen G. Journal of Agricultural and Food Chemistry,2008,56:720. [4] Schamberger G P,Labuza T P. Journal of Food Science,2006,71:C69. [5] Angel Rufian-Henares J,Guerra-Hernández E,Garcia-Villanova B. Food Research International,2002,35:527. [6] Bendicho S,Espachs A,Arantegui J,et al. Journal of Dairy Research,2002,69:113. [7] Patra D,Mishra A K. Talanta,2001,53:783. [8] Kulmyrzaev A A,Levieux D,Dufour E. Journal of Agricultural and Food Chemistry,2005,53:502. [9] Birlouez-Aragon I,Sabat P,Gouti N. International Dairy Journal,2002,12:59. [10] XU Jin-gou,WANG Zun-ben(许金钩,王尊本). Fluorescence Analysis(荧光分析法). Beijing:Science Press(北京:科学出版社),2006. [11] Reynolds D M. Water Research,2003,37:3055. [12] Mozo-Villarias A. Journal of Biochemical and Biophysical Methods,2002,50:163. [13] Kulmyrzaev A,Dufour E. Le Lait,2002,82:725. [14] CHU Xiao-li(褚小立). Molecular Spectroscopy Analytical Technology Combined with Chemometrics and Its Applications(化学计量学方法与分子光谱分析技术). Beijing:Chemical Industry Press(北京:化学工业出版社),2011. |
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