Feasibility Investigation of Near Infrared Spectrometry for Particle Size Estimation of Nano Structures
Determination of nano particle size is substantial since
the nano particle size exerts a significant effect on various properties
of nano materials. Accordingly, proposing non-destructive, accurate
and rapid techniques for this aim is of high interest. There are some
conventional techniques to investigate the morphology and grain size
of nano particles such as scanning electron microscopy (SEM),
atomic force microscopy (AFM) and X-ray diffractometry (XRD).
Vibrational spectroscopy is utilized to characterize different
compounds and applied for evaluation of the average particle size
based on relationship between particle size and near infrared spectra
[1,4] , but it has never been applied in quantitative morphological
analysis of nano materials. So far, the potential application of nearinfrared
(NIR) spectroscopy with its ability in rapid analysis of
powdered materials with minimal sample preparation, has been
suggested for particle size determination of powdered
pharmaceuticals. The relationship between particle size and diffuse
reflectance (DR) spectra in near infrared region has been applied to
introduce a method for estimation of particle size. Back propagation
artificial neural network (BP-ANN) as a nonlinear model was applied
to estimate average particle size based on near infrared diffuse
reflectance spectra. Thirty five different nano TiO2 samples with
different particle size were analyzed by DR-FTNIR spectrometry and
the obtained data were processed by BP- ANN.
[1] A.J. O-Neil, R.D. Jee, A.C. Moffat, Analyst 128 (2003) 1326-1330
[2] T. Sreethawong, S.Yoshikawa, Int. J. Hyd. Ener. 31 (2006) 786 - 796
[3] N. Arconada , A. Duran , S. Suarez , R. Portela , J.M. Coronado , B.
Sanchez , Y. Castro, Appl. Catal. B: Environ. 86 (2009) 1-7
[4] M. Blanco, A. Peguero, Talanta 77 (2008) 647-651
[5] M.A. Gotardo, A.C. Gigante, L. Pezza, H.R. Pezza, Talanta 64 (2004)
361-365
[6] S.G. Dmitrienko, O.A. Sviridova, L.N. Pyatkova, V.A. Zhukova, Y.A.
Zololov, Anal. Chim. Acta 405 (2000) 231-237.
[7] F.A.A. Matias, M.M.D.C. Vila, M. Tubino, Sens. Actuators B 88 (2003)
60-66.
[8] H.J. Luinge, E.D. Leussink, T. Visser, Anal Chim Acta 345 (1997) 173-
184.
[9] P.N. Penchev, G.N. Andreev, K. Varmuza, Anal Chim Acta 388 (1999)
145-159.
[10] M. Khanmohammadi, A. Bagheri Garmarudi, K. Ghasemi, A.H. Emami,,
J. Chemom., 2009.
[1] A.J. O-Neil, R.D. Jee, A.C. Moffat, Analyst 128 (2003) 1326-1330
[2] T. Sreethawong, S.Yoshikawa, Int. J. Hyd. Ener. 31 (2006) 786 - 796
[3] N. Arconada , A. Duran , S. Suarez , R. Portela , J.M. Coronado , B.
Sanchez , Y. Castro, Appl. Catal. B: Environ. 86 (2009) 1-7
[4] M. Blanco, A. Peguero, Talanta 77 (2008) 647-651
[5] M.A. Gotardo, A.C. Gigante, L. Pezza, H.R. Pezza, Talanta 64 (2004)
361-365
[6] S.G. Dmitrienko, O.A. Sviridova, L.N. Pyatkova, V.A. Zhukova, Y.A.
Zololov, Anal. Chim. Acta 405 (2000) 231-237.
[7] F.A.A. Matias, M.M.D.C. Vila, M. Tubino, Sens. Actuators B 88 (2003)
60-66.
[8] H.J. Luinge, E.D. Leussink, T. Visser, Anal Chim Acta 345 (1997) 173-
184.
[9] P.N. Penchev, G.N. Andreev, K. Varmuza, Anal Chim Acta 388 (1999)
145-159.
[10] M. Khanmohammadi, A. Bagheri Garmarudi, K. Ghasemi, A.H. Emami,,
J. Chemom., 2009.
@article{"International Journal of Engineering, Mathematical and Physical Sciences:50027", author = "A. Bagheri Garmarudi and M. Khanmohammadi and N. Khoddami and K. Shabani", title = "Feasibility Investigation of Near Infrared Spectrometry for Particle Size Estimation of Nano Structures", abstract = "Determination of nano particle size is substantial since
the nano particle size exerts a significant effect on various properties
of nano materials. Accordingly, proposing non-destructive, accurate
and rapid techniques for this aim is of high interest. There are some
conventional techniques to investigate the morphology and grain size
of nano particles such as scanning electron microscopy (SEM),
atomic force microscopy (AFM) and X-ray diffractometry (XRD).
Vibrational spectroscopy is utilized to characterize different
compounds and applied for evaluation of the average particle size
based on relationship between particle size and near infrared spectra
[1,4] , but it has never been applied in quantitative morphological
analysis of nano materials. So far, the potential application of nearinfrared
(NIR) spectroscopy with its ability in rapid analysis of
powdered materials with minimal sample preparation, has been
suggested for particle size determination of powdered
pharmaceuticals. The relationship between particle size and diffuse
reflectance (DR) spectra in near infrared region has been applied to
introduce a method for estimation of particle size. Back propagation
artificial neural network (BP-ANN) as a nonlinear model was applied
to estimate average particle size based on near infrared diffuse
reflectance spectra. Thirty five different nano TiO2 samples with
different particle size were analyzed by DR-FTNIR spectrometry and
the obtained data were processed by BP- ANN.", keywords = "near infrared, particle size, chemometrics, neuralnetwork, nano structure.", volume = "4", number = "10", pages = "1355-3", }