Abstract
In this paper, near-infrared (NIR) spectroscopy coupled with wavelength selection methods was used to predict total acid of vinegar. Three wavelength selection methods including competitive adaptive reweighted sampling (CARS), Monte Carlo uninformative variable elimination (MC-UVE), and moving window partial least squares (MWPLS) were employed to select the key wavelengths. Five wavelengths including 4,348, 4,694, 5,365, 7,104, and 7,236 cm−1 were selected by CARS method. Least squares (LS) regression model was built on the selected wavelengths. Compared to the partial least squares regression models based on full spectrum and wavelengths selected by MC-UVE and MWPLS, the performance of LS model was better, with higher determination coefficient for test (r 2) of 0.997, and lower root mean square error of prediction of 0.13 g/100 ml. Based on the results, it was concluded that NIR spectroscopy combined with CARS methods seem to be a rapid and effective alternative to the classical methods for the prediction of total acid of vinegar.
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References
AOAC (1995) Official methods of analysis. 930.35
Cai W, Li Y, Shao X (2008) Chemom Intel Lab Syst 90:188
Casale M, Sáiz-Abajo MJ, González-Sáiz JM, Pizarro C, Forina M (2006) Anal Chim Acta 557:360
Centner V, Massart DL, de Noord OE, de Jong S, Vandeginste BM, Sterna C (1996) Anal Chem 68:3851
de la Haba MJ, Garrido-Varo A, Guerrero-Ginel JE, Pérez-Marín DC (2006) J Agric Food Chem 54:7703
Fernández-Ahumada E, Garrido-Varo A, Guerrero-Ginel JE, Wubbels A, Van der Sluis C, Van der Meer JM (2006) J Near Infrared Spectros 14:27
Galvao RKH, Araujo MCU, Jose GE, Pontes MJC, Silva EC, Saldanha TCB (2005) Talanta 67:736
Han QJ, Wu HL, Cai CB, Xu L, Yu RQ (2008) Anal Chim Acta 612:121
Jiang JH, Berry RJ, Siesler HW, Ozaki Y (2002) Anal Chem 74:3555
León L, Garrido-Varo A, Downey G (2004) J Agric Food Chem 52:4957
Li HD, Liang YZ, Xu QS, Cao DS (2009) Anal Chim Acta 648:77
Manley M, Joubert E, Myburgh L, Lotz E, Kidd M (2007) J Near Infrared Spectros 15:179
Manley M, du Toit G, Geladi P (2011) Anal Chim Acta 686:64
Moros J, Iñón FA, Garrigues S, de la Guardia M (2008) Talanta 74:632
Sáiz-Abajo MJ, González-Sáiz JM, Pizarro C (2004a) J Agric Food Chem 52:7711
Sáiz-Abajo MJ, González-Sáiz JM, Pizarro C (2004b) J Near Infrared Spectros 12:207
Sáiz-Abajo MJ, González-Sáiz JM, Pizarro C (2005) Anal Bioanal Chem 382:412
Sáiz-Abajo MJ, González-Sáiz JM, Pizarro C (2006) Food Chem 99:615
Sarembaud J, Platero G, Feinberg M (2008) Food Anal Method 1:227
Sorol N, Arancibia E, Bortolato SA, Olivieri AC (2010) Chemom Intel Lab Syst 102:100
Wiegand P, Pell R, Comas E (2009) Chemom Intel Lab Syst 98:108
Workman J Jr., Weyer L (2008) Practical guide to interpretive near-infrared spectroscopy. CRC Press
Xu H, Liu Z, Cai W, Shao X (2009) Chemom Intel Lab Syst 97:189
Ye SF, Wang D, Min SG (2008) Chemom Intel Lab Syst 91:194
Acknowledgments
This work is financially supported by the National Nature Foundation Committee of People's Republic of China (Grants No. 20875104 and 21075138), the international cooperation project on traditional Chinese medicines of Ministry of Science and Technology of China (Grant No. 2007DFA40680). Excellent PhD Thesis Support Foundation of Central South University (Grant No.2008yb010). The studies meet with the approval of the university's review board.
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Fan, W., Shan, Y., Li, G. et al. Application of Competitive Adaptive Reweighted Sampling Method to Determine Effective Wavelengths for Prediction of Total Acid of Vinegar. Food Anal. Methods 5, 585–590 (2012). https://doi.org/10.1007/s12161-011-9285-2
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DOI: https://doi.org/10.1007/s12161-011-9285-2