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Volumn 712, Issue , 2012, Pages 45-55

Testing the performance of pure spectrum resolution from Raman hyperspectral images of differently manufactured pharmaceutical tablets

Author keywords

Chemometrics; Hyperspectral; Imaging; Mapping; Micro Raman; Pharmaceutical

Indexed keywords

ACTIVE INGREDIENTS; ANALYTICAL METHOD; AUGMENTED LAGRANGIANS; CHEMICAL IMAGING; CHEMOMETRICES; CHEMOMETRICS; CLASSICAL LEAST SQUARES; CURVE RESOLUTION; EMPIRICAL APPROACH; HYPER-SPECTRAL IMAGES; HYPERSPECTRAL; MICRO-RAMAN; MULTIVARIATE CURVE RESOLUTION-ALTERNATING LEAST SQUARES; MULTIVARIATE METHODS; NON-INVASIVE; NUMBER OF COMPONENTS; PHARMACEUTICAL; PHARMACEUTICAL PRODUCTS; PHARMACEUTICAL TABLETS; PHARMACEUTICAL TECHNOLOGIES; POSITIVE MATRIX FACTORIZATION; PURE COMPONENTS; RAMAN MAPS; SPECTRUM RESOLUTION;

EID: 84155167121     PISSN: 00032670     EISSN: 18734324     Source Type: Journal    
DOI: 10.1016/j.aca.2011.10.065     Document Type: Article
Times cited : (43)

References (44)
  • 1
    • 41549119850 scopus 로고    scopus 로고
    • Recent applications of chemical imaging to pharmaceutical process monitoring and quality control
    • Gowen A.A., O'Donnell C.P., Cullen P.J., Bell S.E.J. Recent applications of chemical imaging to pharmaceutical process monitoring and quality control. Eur. J. Pharm. Biopharm. 2008, 69:10-22.
    • (2008) Eur. J. Pharm. Biopharm. , vol.69 , pp. 10-22
    • Gowen, A.A.1    O'Donnell, C.P.2    Cullen, P.J.3    Bell, S.E.J.4
  • 2
    • 53049097130 scopus 로고    scopus 로고
    • Pharmaceutical applications of vibrational chemical imaging and chemometrics: a review
    • Gendrin C., Roggo Y., Collet C. Pharmaceutical applications of vibrational chemical imaging and chemometrics: a review. J. Pharm. Biomed. Anal. 2008, 48:533-553.
    • (2008) J. Pharm. Biomed. Anal. , vol.48 , pp. 533-553
    • Gendrin, C.1    Roggo, Y.2    Collet, C.3
  • 3
    • 77955929919 scopus 로고    scopus 로고
    • Practical issues of hyperspectral imaging analysis of solid dosage forms
    • Amigo J.M. Practical issues of hyperspectral imaging analysis of solid dosage forms. Anal. Bioanal. Chem. 2010, 398:93-109.
    • (2010) Anal. Bioanal. Chem. , vol.398 , pp. 93-109
    • Amigo, J.M.1
  • 4
    • 80052272137 scopus 로고    scopus 로고
    • Raman mapping of pharmaceuticals
    • Gordon K.C., McGoverin C.M. Raman mapping of pharmaceuticals. Int. J. Pharm. 2011, 417:151-162.
    • (2011) Int. J. Pharm. , vol.417 , pp. 151-162
    • Gordon, K.C.1    McGoverin, C.M.2
  • 5
    • 23144467293 scopus 로고    scopus 로고
    • Near-infrared spectral imaging for quality assurance of pharmaceutical products: analysis of tablets to assess powder blend homogeneity
    • Lyon R.C., Lester D.S., Lewis E.N., Lee E., Yu L.X., Jefferson E.H., Hussain A.S. Near-infrared spectral imaging for quality assurance of pharmaceutical products: analysis of tablets to assess powder blend homogeneity. AAPS Pharm. Sci. Tech. 2002, 3:17.
    • (2002) AAPS Pharm. Sci. Tech. , vol.3 , pp. 17
    • Lyon, R.C.1    Lester, D.S.2    Lewis, E.N.3    Lee, E.4    Yu, L.X.5    Jefferson, E.H.6    Hussain, A.S.7
  • 6
    • 38849114516 scopus 로고    scopus 로고
    • Characterization of the distribution, polymorphism, and stability of nimodipine in its solid dispersions in polyethylene glycol by micro-Raman spectroscopy and powder X-ray diffraction
    • Docoslis A., Huszarik K.L., Papageorgiou G.Z., Bikiaris D., Stergiou A., Georgarakis E. Characterization of the distribution, polymorphism, and stability of nimodipine in its solid dispersions in polyethylene glycol by micro-Raman spectroscopy and powder X-ray diffraction. AAPS J. 2007, 9:E361-E370.
    • (2007) AAPS J. , vol.9
    • Docoslis, A.1    Huszarik, K.L.2    Papageorgiou, G.Z.3    Bikiaris, D.4    Stergiou, A.5    Georgarakis, E.6
  • 8
    • 21244448416 scopus 로고    scopus 로고
    • Multivariate data analysis for Raman imaging of a model pharmaceutical tablet
    • Zhang L., Henson M.J., Sekulic S.S. Multivariate data analysis for Raman imaging of a model pharmaceutical tablet. Anal. Chim. Acta 2005, 545:262-278.
    • (2005) Anal. Chim. Acta , vol.545 , pp. 262-278
    • Zhang, L.1    Henson, M.J.2    Sekulic, S.S.3
  • 10
    • 70349327387 scopus 로고    scopus 로고
    • Raman microscopic evaluation of technology dependent structural differences in tablets containing imipramine model drug
    • Vajna B., Farkas I., Szabó A., Zsolt Z., Marosi G. Raman microscopic evaluation of technology dependent structural differences in tablets containing imipramine model drug. J. Pharm. Biomed. Anal. 2010, 51:30-38.
    • (2010) J. Pharm. Biomed. Anal. , vol.51 , pp. 30-38
    • Vajna, B.1    Farkas, I.2    Szabó, A.3    Zsolt, Z.4    Marosi, G.5
  • 11
    • 8844265308 scopus 로고    scopus 로고
    • A comparison of Raman chemical images produced by univariate and multivariate data processing-a simulation with an example from pharmaceutical practice
    • Šašic S., Clark D.A., Mitchell J.C., Snowden M.J. A comparison of Raman chemical images produced by univariate and multivariate data processing-a simulation with an example from pharmaceutical practice. Analyst 2004, 129:1001-1007.
    • (2004) Analyst , vol.129 , pp. 1001-1007
    • Šašic, S.1    Clark, D.A.2    Mitchell, J.C.3    Snowden, M.J.4
  • 12
    • 33749545346 scopus 로고    scopus 로고
    • Macro FTIR imaging in transmission under a controlled environment
    • Chan K.L.A., Kazarian S.G. Macro FTIR imaging in transmission under a controlled environment. Vib. Spectrosc. 2006, 42:130-134.
    • (2006) Vib. Spectrosc. , vol.42 , pp. 130-134
    • Chan, K.L.A.1    Kazarian, S.G.2
  • 13
    • 33845633990 scopus 로고    scopus 로고
    • In situ high-throughput study of drug polymorphism under controlled temperature and humidity using FT-IR spectroscopic imaging
    • Chan K.L.A., Kazarian S.G., Vassou D., Gionis V., Chryssikos G.D. In situ high-throughput study of drug polymorphism under controlled temperature and humidity using FT-IR spectroscopic imaging. Vib. Spectrosc. 2007, 43:221-226.
    • (2007) Vib. Spectrosc. , vol.43 , pp. 221-226
    • Chan, K.L.A.1    Kazarian, S.G.2    Vassou, D.3    Gionis, V.4    Chryssikos, G.D.5
  • 15
    • 33947697125 scopus 로고    scopus 로고
    • An in-depth analysis of Raman and near-infrared chemical images of common pharmaceutical tablets
    • Šašić S. An in-depth analysis of Raman and near-infrared chemical images of common pharmaceutical tablets. Appl. Spectrosc. 2007, 61:239-250.
    • (2007) Appl. Spectrosc. , vol.61 , pp. 239-250
    • Šašić, S.1
  • 16
  • 17
    • 4243948752 scopus 로고
    • Interactive self-modeling mixture analysis
    • Windig W., Guilment J. Interactive self-modeling mixture analysis. Anal. Chem. 1991, 63:1425-1432.
    • (1991) Anal. Chem. , vol.63 , pp. 1425-1432
    • Windig, W.1    Guilment, J.2
  • 18
    • 0028807247 scopus 로고
    • Multivariate curve resolution applied to second order data
    • Tauler R. Multivariate curve resolution applied to second order data. Chemom. Intell. Lab. Syst. 1995, 30:133-146.
    • (1995) Chemom. Intell. Lab. Syst. , vol.30 , pp. 133-146
    • Tauler, R.1
  • 19
    • 53649104512 scopus 로고    scopus 로고
    • Use of local rank-based spatial information for resolution of spectroscopic images
    • de Juan A., Maeder M., Hancewicz T., Tauler R. Use of local rank-based spatial information for resolution of spectroscopic images. J. Chemom. 2008, 22:291-298.
    • (2008) J. Chemom. , vol.22 , pp. 291-298
    • de Juan, A.1    Maeder, M.2    Hancewicz, T.3    Tauler, R.4
  • 20
    • 62649109278 scopus 로고    scopus 로고
    • Direct quantification and distribution assessment of major and minor components in pharmaceutical tablets by NIR-chemical imaging
    • Amigo J.M., Ravn C. Direct quantification and distribution assessment of major and minor components in pharmaceutical tablets by NIR-chemical imaging. Eur. J. Pharm. Sci. 2009, 37:76-82.
    • (2009) Eur. J. Pharm. Sci. , vol.37 , pp. 76-82
    • Amigo, J.M.1    Ravn, C.2
  • 21
    • 0030954231 scopus 로고    scopus 로고
    • Least squares formulation of non-negative factor analysis
    • Paatero P. Least squares formulation of non-negative factor analysis. Chemom. Intell. Lab. Syst. 1997, 37:23-35.
    • (1997) Chemom. Intell. Lab. Syst. , vol.37 , pp. 23-35
    • Paatero, P.1
  • 22
    • 49649124147 scopus 로고    scopus 로고
    • Self-modelling curve resolution of near infrared imaging data
    • Gendrin C., Roggo Y., Collet C. Self-modelling curve resolution of near infrared imaging data. J. Near Infrared Spectrosc. 2008, 16:151-157.
    • (2008) J. Near Infrared Spectrosc. , vol.16 , pp. 151-157
    • Gendrin, C.1    Roggo, Y.2    Collet, C.3
  • 23
    • 76849107932 scopus 로고    scopus 로고
    • Near-infrared hyperspectral unmixing based on a minimum volume criterion for fast and accurate chemometric characterization of counterfeit tablets
    • Lopes M.B., Wolff J.-C., Bioucas-Dias J.M., Figueiredo M.A.T. Near-infrared hyperspectral unmixing based on a minimum volume criterion for fast and accurate chemometric characterization of counterfeit tablets. Anal. Chem. 2010, 82:1462-1469.
    • (2010) Anal. Chem. , vol.82 , pp. 1462-1469
    • Lopes, M.B.1    Wolff, J.-C.2    Bioucas-Dias, J.M.3    Figueiredo, M.A.T.4
  • 24
    • 0033485365 scopus 로고    scopus 로고
    • Computation of the range of feasible solutions in self-modeling curve resolution algorithms
    • Gemperline P.J. Computation of the range of feasible solutions in self-modeling curve resolution algorithms. Anal. Chem. 1999, 71:5398-5404.
    • (1999) Anal. Chem. , vol.71 , pp. 5398-5404
    • Gemperline, P.J.1
  • 25
    • 33644541435 scopus 로고    scopus 로고
    • Analytical solution for determining feasible regions of Self-Modeling Curve Resolution (SMCR) method based on computational geometry
    • Rajkó R., István K. Analytical solution for determining feasible regions of Self-Modeling Curve Resolution (SMCR) method based on computational geometry. J. Chemom. 2005, 19:448-463.
    • (2005) J. Chemom. , vol.19 , pp. 448-463
    • Rajkó, R.1    István, K.2
  • 26
    • 0034800886 scopus 로고    scopus 로고
    • Calculation of maximum and minimum band boundaries of feasible solutions for species profiles obtained by multivariate curve resolution
    • Tauler R. Calculation of maximum and minimum band boundaries of feasible solutions for species profiles obtained by multivariate curve resolution. J. Chemom. 2001, 15:627-646.
    • (2001) J. Chemom. , vol.15 , pp. 627-646
    • Tauler, R.1
  • 27
    • 0345548619 scopus 로고    scopus 로고
    • Multivariate curve resolution methods in imaging spectroscopy: influence of extraction methods and instrumental perturbations
    • Duponchel L., Elmi-Rayaleh W., Ruckebusch C., Huvenne J.P. Multivariate curve resolution methods in imaging spectroscopy: influence of extraction methods and instrumental perturbations. J. Chem. Inf. Comput. Sci. 2003, 43:2057-2067.
    • (2003) J. Chem. Inf. Comput. Sci. , vol.43 , pp. 2057-2067
    • Duponchel, L.1    Elmi-Rayaleh, W.2    Ruckebusch, C.3    Huvenne, J.P.4
  • 28
    • 0032098846 scopus 로고    scopus 로고
    • Rapid analysis of Raman image data using two-way multivariate curve resolution
    • Andrew J.J., Hancewicz T.M. Rapid analysis of Raman image data using two-way multivariate curve resolution. Appl. Spectrosc. 1998, 52:797-807.
    • (1998) Appl. Spectrosc. , vol.52 , pp. 797-807
    • Andrew, J.J.1    Hancewicz, T.M.2
  • 29
    • 80053565376 scopus 로고    scopus 로고
    • Comparison of chemometric methods in analysis of pharmaceuticals with Hyperspectral Raman Imaging
    • Vajna B., Farkas A., Patyi G., Bódis A., Marosi G. Comparison of chemometric methods in analysis of pharmaceuticals with Hyperspectral Raman Imaging. J. Raman Spectrosc. 2011, 42:1977-1986.
    • (2011) J. Raman Spectrosc. , vol.42 , pp. 1977-1986
    • Vajna, B.1    Farkas, A.2    Patyi, G.3    Bódis, A.4    Marosi, G.5
  • 30
    • 33845438591 scopus 로고    scopus 로고
    • Multivariate Curve Resolution (MCR) from 2000: progress in concepts and applications
    • de Juan A., Tauler R. Multivariate Curve Resolution (MCR) from 2000: progress in concepts and applications. Crit. Rev. Anal. Chem. 2006, 36:163-176.
    • (2006) Crit. Rev. Anal. Chem. , vol.36 , pp. 163-176
    • de Juan, A.1    Tauler, R.2
  • 31
    • 38149122132 scopus 로고    scopus 로고
    • Application of multivariate curve resolution alternating least squares (MCR-ALS) to the quantitative analysis of pharmaceutical and agricultural samples
    • Azzouz T., Tauler R. Application of multivariate curve resolution alternating least squares (MCR-ALS) to the quantitative analysis of pharmaceutical and agricultural samples. Talanta 2008, 74:1201-1210.
    • (2008) Talanta , vol.74 , pp. 1201-1210
    • Azzouz, T.1    Tauler, R.2
  • 32
    • 79952955398 scopus 로고    scopus 로고
    • Angle-constrained alternating least squares
    • Windig W., Keenan M.R. Angle-constrained alternating least squares. Appl. Spectrosc. 2011, 65:349-357.
    • (2011) Appl. Spectrosc. , vol.65 , pp. 349-357
    • Windig, W.1    Keenan, M.R.2
  • 34
    • 0033275630 scopus 로고    scopus 로고
    • The multilinear engine-a table-driven, least squares program for solving multilinear problems, including the n-way parallel factor analysis model
    • Paatero P. The multilinear engine-a table-driven, least squares program for solving multilinear problems, including the n-way parallel factor analysis model. J. Comput. Graph. Sci. 1999, 8:854-888.
    • (1999) J. Comput. Graph. Sci. , vol.8 , pp. 854-888
    • Paatero, P.1
  • 35
    • 16444373735 scopus 로고    scopus 로고
    • Vertex component analysis: a fast algorithm to unmix hyperspectral data
    • Nascimento J.M.P., Bioucas-Dias J.M. Vertex component analysis: a fast algorithm to unmix hyperspectral data. IEEE Trans. Geosci. Remote Sens. 2005, 43:898-910.
    • (2005) IEEE Trans. Geosci. Remote Sens. , vol.43 , pp. 898-910
    • Nascimento, J.M.P.1    Bioucas-Dias, J.M.2
  • 36
    • 73549117440 scopus 로고    scopus 로고
    • Sum of ranking differences compares methods or models fairly
    • Héberger K. Sum of ranking differences compares methods or models fairly. Trends Anal. Chem. 2010, 29:101-109.
    • (2010) Trends Anal. Chem. , vol.29 , pp. 101-109
    • Héberger, K.1
  • 37
    • 79954501839 scopus 로고    scopus 로고
    • Sum of ranking differences for method discrimination and its validation: comparison of ranks with random numbers
    • Héberger K., Kollár-Hunek K. Sum of ranking differences for method discrimination and its validation: comparison of ranks with random numbers. J. Chemom. 2011, 25:151-158.
    • (2011) J. Chemom. , vol.25 , pp. 151-158
    • Héberger, K.1    Kollár-Hunek, K.2
  • 38
    • 0034192630 scopus 로고    scopus 로고
    • Caveat in abstract factor analysis-based pseudorank estimation
    • Faber N.M. Caveat in abstract factor analysis-based pseudorank estimation. Anal. Chim. Acta 2000, 411:157-161.
    • (2000) Anal. Chim. Acta , vol.411 , pp. 157-161
    • Faber, N.M.1
  • 39
    • 84937549955 scopus 로고
    • The scree test for the number of factors
    • Cattell R.D. The scree test for the number of factors. Multivariate Behav. Res. 1966, 1:245-276.
    • (1966) Multivariate Behav. Res. , vol.1 , pp. 245-276
    • Cattell, R.D.1
  • 40
    • 33847090239 scopus 로고
    • Theory of error in factor analysis
    • Malinowski E.R. Theory of error in factor analysis. Anal. Chem. 1977, 49:606-612.
    • (1977) Anal. Chem. , vol.49 , pp. 606-612
    • Malinowski, E.R.1
  • 41
    • 0032907943 scopus 로고    scopus 로고
    • An automated procedure to predict the number of components in spectroscopic data
    • Elbergali A., Nygren J., Kubista M. An automated procedure to predict the number of components in spectroscopic data. Anal. Chim. Acta 1999, 379:143-158.
    • (1999) Anal. Chim. Acta , vol.379 , pp. 143-158
    • Elbergali, A.1    Nygren, J.2    Kubista, M.3
  • 42
    • 0002553580 scopus 로고    scopus 로고
    • Modification of Malinowski's F-test for abstract factor analysis applied to the quail roost II data sets
    • Faber K., Kowalski B. Modification of Malinowski's F-test for abstract factor analysis applied to the quail roost II data sets. J. Chemom. 1997, 11:53-72.
    • (1997) J. Chemom. , vol.11 , pp. 53-72
    • Faber, K.1    Kowalski, B.2
  • 43
    • 50249159453 scopus 로고    scopus 로고
    • Determining the number of components in a factor model from limited noisy data
    • Kritchman S., Nadler B. Determining the number of components in a factor model from limited noisy data. Chemom. Intell. Lab. Syst. 2008, 94:19-32.
    • (2008) Chemom. Intell. Lab. Syst. , vol.94 , pp. 19-32
    • Kritchman, S.1    Nadler, B.2
  • 44
    • 77958050600 scopus 로고    scopus 로고
    • Comments on near-infrared hyperspectral unmixing based on a minimum volume criterion for fast and accurate chemometric characterization of counterfeit tablets
    • Rajkó R. Comments on near-infrared hyperspectral unmixing based on a minimum volume criterion for fast and accurate chemometric characterization of counterfeit tablets. Anal. Chem. 2010, 82:8750-8752.
    • (2010) Anal. Chem. , vol.82 , pp. 8750-8752
    • Rajkó, R.1


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