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Determination of Nitrite Using UV Absorption Spectra Based on Multiple Linear Regression
Corresponding Author(s) : D.M. Dong
Asian Journal of Chemistry,
Vol. 25 No. 4 (2013): Vol 25 Issue 4
Abstract
The concentration of nitrite with potential toxicity is an important parameter within environmental, food, industrial and agricultural systems. To determinate nitrite concentration, the method using UV absorption spectra based on multiple linear regression is employed. Principal absorption wavelengths related closely with nitrite concentration are confirmed through analyzing the absorption spectra between the nitrite and nitrate with similar S/N ratio treatment. Utilizing multiple linear regression, mathematical model between absorbance obtained form ten principal absorption wavelengths and nitrite concentration is established. The result shows nitrite concentration between the predicted values and measured values are well coincident when the pH value of nitrite aqueous solution is more than 5 and the related coefficient (R) is 0.9624 over the concentration range 200-2000 ppm. This mathematical model is applied in detecting nitrite concentration of river water and results imply that the system based on this method may be used for on-line determination of the nitrite concentration in the river water.
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- C.S. Bruning-Fann and J.B. Kaneene, Vet. Human Toxicol., 35, 521 (1993).
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- M.J. Lerma-Garcia, E.F. Simo-Alfonso, A. Bendini and L. Cerretani, Food Chem., 124, 679 (2011).
- S. Ghafari, M. Hasan and M.K. Aroua, Bioresour. Technol., 99, 3965 (2008).
- L.J. Hou, M. Liu, S.A. Carini and W.S. Gardner, Continental Shelf Res., 35, 86 (2012).
- A. Sims, S. Gajaraj and Z.Q. Hu, Ecol. Eng., 40, 100 (2012).
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- M. Zude, M. Pflanz, L. Spinelli, C. Dosche and A. Torricelli, J. Food Eng., 103, 68 (2011)
References
P.F. Swann, J. Sci. Food Agric., 26, 1761 (1975).
C.S. Bruning-Fann and J.B. Kaneene, Vet. Human Toxicol., 35, 521 (1993).
Water Supply Regulations, Statutory Instruments, No. 1147, HMSO, London (1989).
EC Draft Regulation (VI/3080/93) Revision 7.
M.J. Moorcroft, J. Davis and R.G. Compton, Talanta, 54, 785 (2001).
A. Drolc and J.Vrtovsek, Bioresour. Technol., 101, 4228 (2010).
S. Senra-Ferreiro, F. Pena-Pereira, I. Lavilla and C. Bendicho, Anal. Chim. Acta, 668, 195 (2010).
H. Filik, D. Giray, B. Ceylan and R. Apak, Talanta, 85, 1818 (2011).
E. Riordan, N. Minogue, D. Healy, P. O'Driscoll and J.R. Sodeau, J. Phys. Chem. A, 109, 779 (2005).
J. Ghasemi, S. Saaidpour and S.D. Brown, J. Mol. Struct., 805, 27 (2007).
L. Zhu, J.P. O'Dwyer, V.S. Chang, C.B. Granda and M.T. Holtzapple, Bioresour. Technol., 101, 4971 (2010).
M.J. Lerma-Garcia, E.F. Simo-Alfonso, A. Bendini and L. Cerretani, Food Chem., 124, 679 (2011).
S. Ghafari, M. Hasan and M.K. Aroua, Bioresour. Technol., 99, 3965 (2008).
L.J. Hou, M. Liu, S.A. Carini and W.S. Gardner, Continental Shelf Res., 35, 86 (2012).
A. Sims, S. Gajaraj and Z.Q. Hu, Ecol. Eng., 40, 100 (2012).
M. Monsi and T. Saeki, Ann. Botany, 95, 549 (2005).
S. Ochiai and K.Kashiwaya, Catena, 83, 1 (2010).
M. Zude, M. Pflanz, L. Spinelli, C. Dosche and A. Torricelli, J. Food Eng., 103, 68 (2011)