Raman Spectrum Online Monitoring in Aspirin Synthesis Process

Hui Su; Kuo Sun; Zhixiang Yao*; Peixian Huang; Liu Liu

doi:10.14233/ajchem.2014.15447

Issue

Vol. 26 No. 2 (2014): Vol 26 Issue 2

Issue Published : January 15, 2014

This work is licensed under a Creative Commons Attribution 4.0 International License.

Raman Spectrum Online Monitoring in Aspirin Synthesis Process

https://doi.org/10.14233/ajchem.2014.15447

Hui Su

Department of Biology and Chemical Engineering, Guangxi University of Science and Technology, Liuzhou 545006, Guangxi P.R. China *Corresponding author: E-mail: hailfellow512@163.com

Kuo Sun

Department of Biology and Chemical Engineering, Guangxi University of Science and Technology, Liuzhou 545006, Guangxi P.R. China *Corresponding author: E-mail: hailfellow512@163.com

Zhixiang Yao*

Department of Biology and Chemical Engineering, Guangxi University of Science and Technology, Liuzhou 545006, Guangxi P.R. China *Corresponding author: E-mail: hailfellow512@163.com

Peixian Huang

Department of Biology and Chemical Engineering, Guangxi University of Science and Technology, Liuzhou 545006, Guangxi P.R. China *Corresponding author: E-mail: hailfellow512@163.com

Liu Liu

Department of Biology and Chemical Engineering, Guangxi University of Science and Technology, Liuzhou 545006, Guangxi P.R. China *Corresponding author: E-mail: hailfellow512@163.com

Asian Journal of Chemistry, Vol. 26 No. 2 (2014): Vol 26 Issue 2
Article Published : January 16, 2014

Abstract

In this work, the Raman spectra were obtained directly in the synthesis process of aspirin as prediction set. The concentration sample according to the amount of material changes before and after reaction and it’s extracted Raman information made up training set and a quantitative analysis model of the salicylic acid-acetic anhydride-aspirin mixed system was established by applying partial least squares (PLS). The values of correlation coefficient squared between measured and regression (R²), root mean square error of prediction set (RMSEP), mean deviation (MD) indicate that the influence of the prediction precision by the baseline drift can be effectively reduced in the method of spectrum pretreatment via mormalize + savitzky-go1ay smoothing first derivative. After the prediction set was used in this analysis mode, the mass per cent between salicylic acid and aspirin of online monitoring was 4.59 %, while the off-line Raman analysis and high performance liquid chromatography analysis results were 5.66 and 2.75 %. The relative deviations were -1.07 and 1.84 %. This method provides effective data support for synthesis of aspirin Raman spectroscopy online monitoring.

Keywords

Pretreatment Partial least squares Online monitoring Raman spectroscopy Aspirin synthesis.

Su, H., Sun, K., Yao*, Z., Huang, P., & Liu, L. (2014). Raman Spectrum Online Monitoring in Aspirin Synthesis Process. Asian Journal of Chemistry, 26(2), 467–471. https://doi.org/10.14233/ajchem.2014.15447

Download Citation

References

C. Wang, T.J. Vickers, J.B. Schlenoff and C.K. Mann, Appl. Spectrosc., 46, 1729 (1992); doi:10.1366/0003702924926961.
C. Wang, T.J. Vickers and C.K. Mann, Appl. Spectrosc., 47, 928 (1993)doi: 10.1366/0003702934415183.
J.B. Cooper, K.L. Wise and B.J. Jensen, Anal. Chem., 69, 1973 (1997); doi:10.1021/ac970193h.
N. Everall and B. King, Macromol. Symp., 141, 103 (1999); doi:10.1002/masy.19991410111.
G.V.L.N. Murty and T.R. Seshadri, Proc. Math. Sci., 19, 17 (1944).
J.B. Cooper, Chemom. Intell. Lab. Syst., 46, 231 (1999); doi:10.1016/S0169-7439(98)00174-9.
F. Estienne, D.L. Massart, N. Zanier-Szydlowski and P. Marteau, Anal. Chim. Acta, 424, 185 (2000); doi:10.1016/S0003-2670(00)01107-7.
H. Witjes, M. van den Brink, W.J. Melssen and L.M.C. Buydens, Chemom. Intell. Lab. Syst., 52, 105 (2000); doi:10.1016/S0169-7439(00)00085-X.
Y. Liang, Multivariate Calibration Methods for White Analytical Systems, In: Q. Chen, editor. White, Grey and Black Multicomponent Systems and Their Chemometric Algorithms. Changsha, China: Hunan Publishing House of Science and Technology, pp. 29-36 (1996)..
F. Estienne and D.L. Massart, Anal. Chim. Acta, 450, 123 (2001); doi:10.1016/S0003-2670(01)01372-1.
J.B. Cooper, K.L. Wise, W.T. Welch, M.B. Sumner, B.K. Wilt and R.R. Bledsoe, Appl. Spectrosc., 51, 1613 (1997); doi:10.1366/0003702971939596.
P. Geladi and B.R. Kowalski, Anal. Chim. Acta, 185, 1 (1986); doi:10.1016/0003-2670(86)80028-9.
E.V. Thomas and D.M. Haaland, Anal. Chem., 62, 1091 (1990); doi:10.1021/ac00209a024.
C.L. Stanford, B.A. Mantooth and B.T. Jones, J. Chem. Educ., 78, 1221 (2001); doi: 10.1021/ed078p1221.
Y. Hu, T. Jiang, A. Shen, W. Li, X. Wang and J. Hu, Chemom. Intell. Lab. Syst., 85, 94 (2007); doi:10.1016/j.chemolab.2006.05.004.
R.L. McCreery, In ed.: J.D. Winefordne, Magnitude of Raman Scattering, Raman Spectroscopy for Chemical Analysis, Wiley-Interscience, New York, USA, pp. 25-26 (2000)..
O.E. De Noord, Chemom. Intell. Lab. Syst., 23, 65 (1994); doi:10.1016/0169-7439(93)E0065-C.
Y.G. Shi, X.L. Feng and Z.C. Li, In ed.: G.Y. Zhang, Chemical Pattern Recognition, Chemometrics.Beijing, China: China Petrochemical Press, pp. 141-143 (2002).
K. Kachrimanis, D.E. Braun and U.J. Griesser, J. Pharm. Biomed. Anal., 43, 407 (2007); doi:10.1016/j.jpba.2006.07.032.
W. Wu, Q. Guo, D. Jouan-Rimbaud and D.L. Massart, Chemom. Intell. Lab. Syst., 45, 39 (1999); doi:10.1016/S0169-7439(98)00088-4.
A. Savitzky and M.J.E. Golay, Anal. Chem., 36, 1627 (1964); doi:10.1021/ac60214a047.
H.H. Madden, Anal. Chem., 50, 1383 (1978); doi:10.1021/ac50031a048.
J. Steinier, Y. Termonia and J. Deltour, Anal. Chem., 44, 1906 (1972); doi:10.1021/ac60319a045.
P.A. Gorry, Anal. Chem., 62, 570 (1990); doi:10.1021/ac00205a007.
C.D. Brown and P.D. Wentzell, Chemometrics, 13, 133 (1999); doi:10.1002/(SICI)1099-128X(199903/04)13:2<133::AID-CEM533>3.0.CO;2-C.
L.S. Mendes, F.C.C. Oliveira, P.A.Z. Suarez and J.C. Rubim, Anal. Chim. Acta, 493, 219 (2003); doi:10.1016/S0003-2670(03)00870-5.
S. Yang, J. Kunming Teachers College, 29, 108 (2007).
W.J. McCarthy, TQ Analyst User's Guide, Thermo Nicolet Corp., Madison, WI, p. 155 (2003).
S. Macho and M.S. Larrechi, TrAC-Trends Anal. Chem., 21, 799 (2002); doi:10.1016/S0165-9936(02)01202-5.
J.M. Andrade, S. Garrigues, M. de la Guardia, M. Gómez-Carracedo and D. Prada, Anal. Chim. Acta, 482, 115 (2003); doi:10.1016/S0003-2670(03)00195-8.

References

C. Wang, T.J. Vickers, J.B. Schlenoff and C.K. Mann, Appl. Spectrosc., 46, 1729 (1992); doi:10.1366/0003702924926961.

C. Wang, T.J. Vickers and C.K. Mann, Appl. Spectrosc., 47, 928 (1993)doi: 10.1366/0003702934415183.

J.B. Cooper, K.L. Wise and B.J. Jensen, Anal. Chem., 69, 1973 (1997); doi:10.1021/ac970193h.

N. Everall and B. King, Macromol. Symp., 141, 103 (1999); doi:10.1002/masy.19991410111.

G.V.L.N. Murty and T.R. Seshadri, Proc. Math. Sci., 19, 17 (1944).

J.B. Cooper, Chemom. Intell. Lab. Syst., 46, 231 (1999); doi:10.1016/S0169-7439(98)00174-9.

F. Estienne, D.L. Massart, N. Zanier-Szydlowski and P. Marteau, Anal. Chim. Acta, 424, 185 (2000); doi:10.1016/S0003-2670(00)01107-7.

H. Witjes, M. van den Brink, W.J. Melssen and L.M.C. Buydens, Chemom. Intell. Lab. Syst., 52, 105 (2000); doi:10.1016/S0169-7439(00)00085-X.

Y. Liang, Multivariate Calibration Methods for White Analytical Systems, In: Q. Chen, editor. White, Grey and Black Multicomponent Systems and Their Chemometric Algorithms. Changsha, China: Hunan Publishing House of Science and Technology, pp. 29-36 (1996)..

F. Estienne and D.L. Massart, Anal. Chim. Acta, 450, 123 (2001); doi:10.1016/S0003-2670(01)01372-1.

J.B. Cooper, K.L. Wise, W.T. Welch, M.B. Sumner, B.K. Wilt and R.R. Bledsoe, Appl. Spectrosc., 51, 1613 (1997); doi:10.1366/0003702971939596.

P. Geladi and B.R. Kowalski, Anal. Chim. Acta, 185, 1 (1986); doi:10.1016/0003-2670(86)80028-9.

E.V. Thomas and D.M. Haaland, Anal. Chem., 62, 1091 (1990); doi:10.1021/ac00209a024.

C.L. Stanford, B.A. Mantooth and B.T. Jones, J. Chem. Educ., 78, 1221 (2001); doi: 10.1021/ed078p1221.

Y. Hu, T. Jiang, A. Shen, W. Li, X. Wang and J. Hu, Chemom. Intell. Lab. Syst., 85, 94 (2007); doi:10.1016/j.chemolab.2006.05.004.

R.L. McCreery, In ed.: J.D. Winefordne, Magnitude of Raman Scattering, Raman Spectroscopy for Chemical Analysis, Wiley-Interscience, New York, USA, pp. 25-26 (2000)..

O.E. De Noord, Chemom. Intell. Lab. Syst., 23, 65 (1994); doi:10.1016/0169-7439(93)E0065-C.

Y.G. Shi, X.L. Feng and Z.C. Li, In ed.: G.Y. Zhang, Chemical Pattern Recognition, Chemometrics.Beijing, China: China Petrochemical Press, pp. 141-143 (2002).

K. Kachrimanis, D.E. Braun and U.J. Griesser, J. Pharm. Biomed. Anal., 43, 407 (2007); doi:10.1016/j.jpba.2006.07.032.

W. Wu, Q. Guo, D. Jouan-Rimbaud and D.L. Massart, Chemom. Intell. Lab. Syst., 45, 39 (1999); doi:10.1016/S0169-7439(98)00088-4.

A. Savitzky and M.J.E. Golay, Anal. Chem., 36, 1627 (1964); doi:10.1021/ac60214a047.

H.H. Madden, Anal. Chem., 50, 1383 (1978); doi:10.1021/ac50031a048.

J. Steinier, Y. Termonia and J. Deltour, Anal. Chem., 44, 1906 (1972); doi:10.1021/ac60319a045.

P.A. Gorry, Anal. Chem., 62, 570 (1990); doi:10.1021/ac00205a007.

C.D. Brown and P.D. Wentzell, Chemometrics, 13, 133 (1999); doi:10.1002/(SICI)1099-128X(199903/04)13:2<133::AID-CEM533>3.0.CO;2-C.

L.S. Mendes, F.C.C. Oliveira, P.A.Z. Suarez and J.C. Rubim, Anal. Chim. Acta, 493, 219 (2003); doi:10.1016/S0003-2670(03)00870-5.

S. Yang, J. Kunming Teachers College, 29, 108 (2007).

W.J. McCarthy, TQ Analyst User's Guide, Thermo Nicolet Corp., Madison, WI, p. 155 (2003).

S. Macho and M.S. Larrechi, TrAC-Trends Anal. Chem., 21, 799 (2002); doi:10.1016/S0165-9936(02)01202-5.

J.M. Andrade, S. Garrigues, M. de la Guardia, M. Gómez-Carracedo and D. Prada, Anal. Chim. Acta, 482, 115 (2003); doi:10.1016/S0003-2670(03)00195-8.

Issue

Vol. 26 No. 2 (2014): Vol 26 Issue 2

Raman Spectrum Online Monitoring in Aspirin Synthesis Process

Abstract

Keywords

Full Article

Download Citation

References

Table Of Contents