1
european journal of pharmaceutical sciences 34S ( 2 0 0 8 ) S25–S29 S27 performed for ketoprofen and l-dopa drugs revealing different relationships and optimal model types. Geometry of polymer was suggested to be another drug release governing factor along with matrix viscosity. doi:10.1016/j.ejps.2008.02.065 O7 Improved insight into the dissolution behavior of amorphous drugs by in situ solid-state analysis Marja Savolainen a , K. Kogermann a,b , A. Heinz c , J. Aaltonen a,d , L. Peltonen a , C.J. Strachan d , J. Yliruusi a a Division of Pharmaceutical Technology, Faculty of Pharmacy, Uni- versity of Helsinki, Finland b Department of Pharmacy, University of Tartu, Estonia c School of Pharmacy, University of Otago, New Zealand d Drug Discovery and Development Technology Center (DDTC), Fac- ulty of Pharmacy, University of Helsinki, Finland The aim of this study was to use in situ Raman spec- troscopy to improve understanding of the phenomena that occur during dissolution of an amorphous model drug carba- mazepine (CBZ). Amorphous CBZ samples were prepared by cooling the melt. Dissolution tests were done in phosphate buffer (pH 7.2) in a channel flow intrinsic dissolution test apparatus with a sight window for the Raman probe. CBZ dihy- drate tablets were used for reference. Multivariate methods were applied to the Raman spectra to monitor the solid-state transformations occurring during dissolution. X-ray powder diffractometry was used as a reference method. The prepared amorphous CBZ sample did not exhibit a higher dissolution rate than the crystalline dihydrate, since the amorphous CBZ transformed to the dihydrate during the dissolution experi- ment. Based on the partial least squares discriminant analysis (PLS-DA) and partial least squares (PLS) regression analysis of the Raman spectra, the transformation proceeded via the crystalline anhydrate form. doi:10.1016/j.ejps.2008.02.066 O8 The effect of mixing time of the magnesium stearate on crush- ing strengths of tablets Satu Virtanen a , H. Salokangas b , J. Yliruusi a a Division of Pharmaceutical Technology, University of Helsinki, Fin- land b Pharmaceutical Product Development, R&D, Orion Corporation, Espoo, Finland This study investigated the change of lubrication effect of magnesium stearate (mgst) when the mixing time and scale were altered. The crushing strengths of tablets, which were compressed from the mixed powders, were used as secondary response for lubrication effect. Binary mixtures of microcrystalline cellulose and mgst were mixed in three scales: laboratory (1 l), pilot (10 l) and production scale (80 l). Two parallel batches were mixed in every scale. The aim was to constitute a relationship between the mixing time of the powders and the crushing strength of the tablets. The crush- ing strength of the tablets decreased when the mixing time increased with all of the batches. With pilot and production scale this decrease was greater than with laboratory scale. This indicates that the results contrived in laboratory scale did not give the right mixing time for the greater scale sizes without altering the crushing strength of tablets. doi:10.1016/j.ejps.2008.02.067 RECENT TECHNOLOGIES IN METABOLOMICS, LIPIDOMICS AND PROTEOMICS O9 Biomarker discovery from mass spectral profiles: A combined proteomics and multivariate analysis Tarja Rajalahti a,b , R. Arneberg c,d , F.S. Berven e , A.C. Kroksveen e,f , M. Berle e , K.-M. Myhr a,b,g , C.A. Vedeler a,b , R.J. Ulvik e,h , O.M. Kvalheim i a Department of Clinical Medicine, University of Bergen, Norway b Department of Neurology, Haukeland University Hospital, Bergen, Norway c Center for Integrated Petroleum Research, University of Bergen, Norway d Pattern Recognition Systems AS, Bergen, Norway e Institute of Medicine, University of Bergen, Norway f Institute of Molecular Biology, University of Bergen, Norway g The National Competence Centre for Multiple Sclerosis, Haukeland University Hospital, Bergen, Norway h Laboratory of Clinical Biochemistry, Haukeland University Hospi- tal, Bergen, Norway i Department of Chemistry, University of Bergen, Norway Cerebrospinal fluid (CSF) is a perfect source to search for new biomarkers to improve early diagnosis of neurological diseases. In the present study, MALDI-TOF mass spectrom- etry is used to examine the low molecular weight CSF proteome (Berven et al., 2007). Whole mass spectral profiles from patients with multiple sclerosis and orthopedic patients (controls) are then pretreated (Arneberg et al., 2007) and ana- lyzed using multivariate techniques. Target projection has earlier been introduced as a method to transform abstract latent variables from multivariate regression into easily inter- pretable factors (Kvalheim et al., 1989). In this work, we have developed the approach further to provide information about variables (biomarkers) and objects (end-members) that are almost exclusively explained by the latent variable produced by target projection on PLS (partial least squares) components. Biomarker candidates are easily and reliably identified using this approach. It is also shown to reduce the risk of finding false candidates. Reference Arneberg, R., et al., 2007. Anal. Chem. 79, 7014. Berven, F.S., et al., 2007. Proteom. Clin. Appl. 1, 699. Kvalheim, O.M., et al., 1989. Chemom. Intell. Lab. Syst. 7, 39. doi:10.1016/j.ejps.2008.02.068

Biomarker discovery from mass spectral profiles: A combined proteomics and multivariate analysis

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Page 1: Biomarker discovery from mass spectral profiles: A combined proteomics and multivariate analysis

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Berven, F.S., et al., 2007. Proteom. Clin. Appl. 1, 699.

e u r o p e a n j o u r n a l o f p h a r m a c e u t

erformed for ketoprofen and l-dopa drugs revealing differentelationships and optimal model types. Geometry of polymeras suggested to be another drug release governing factor

long with matrix viscosity.

oi:10.1016/j.ejps.2008.02.065

7

mproved insight into the dissolution behavior of amorphousrugs by in situ solid-state analysis

arja Savolainen a, K. Kogermann a,b, A. Heinz c, J.altonen a,d, L. Peltonen a, C.J. Strachan d, J. Yliruusi a

Division of Pharmaceutical Technology, Faculty of Pharmacy, Uni-ersity of Helsinki, FinlandDepartment of Pharmacy, University of Tartu, EstoniaSchool of Pharmacy, University of Otago, New ZealandDrug Discovery and Development Technology Center (DDTC), Fac-lty of Pharmacy, University of Helsinki, Finland

The aim of this study was to use in situ Raman spec-roscopy to improve understanding of the phenomena thatccur during dissolution of an amorphous model drug carba-azepine (CBZ). Amorphous CBZ samples were prepared by

ooling the melt. Dissolution tests were done in phosphateuffer (pH 7.2) in a channel flow intrinsic dissolution testpparatus with a sight window for the Raman probe. CBZ dihy-rate tablets were used for reference. Multivariate methodsere applied to the Raman spectra to monitor the solid-state

ransformations occurring during dissolution. X-ray powderiffractometry was used as a reference method. The preparedmorphous CBZ sample did not exhibit a higher dissolutionate than the crystalline dihydrate, since the amorphous CBZransformed to the dihydrate during the dissolution experi-

ent. Based on the partial least squares discriminant analysisPLS-DA) and partial least squares (PLS) regression analysisf the Raman spectra, the transformation proceeded via therystalline anhydrate form.

oi:10.1016/j.ejps.2008.02.066

8

he effect of mixing time of the magnesium stearate on crush-ng strengths of tablets

atu Virtanen a, H. Salokangas b, J. Yliruusi a

Division of Pharmaceutical Technology, University of Helsinki, Fin-andPharmaceutical Product Development, R&D, Orion Corporation,spoo, Finland

This study investigated the change of lubrication effectf magnesium stearate (mgst) when the mixing time andcale were altered. The crushing strengths of tablets, whichere compressed from the mixed powders, were used as

econdary response for lubrication effect. Binary mixturesf microcrystalline cellulose and mgst were mixed in three

cales: laboratory (1 l), pilot (10 l) and production scale (80 l).wo parallel batches were mixed in every scale. The aim waso constitute a relationship between the mixing time of theowders and the crushing strength of the tablets. The crush-

s c i e n c e s 3 4 S ( 2 0 0 8 ) S25–S29 S27

ing strength of the tablets decreased when the mixing timeincreased with all of the batches. With pilot and productionscale this decrease was greater than with laboratory scale. Thisindicates that the results contrived in laboratory scale did notgive the right mixing time for the greater scale sizes withoutaltering the crushing strength of tablets.

doi:10.1016/j.ejps.2008.02.067

RECENT TECHNOLOGIES IN METABOLOMICS, LIPIDOMICSAND PROTEOMICS

O9

Biomarker discovery from mass spectral profiles: A combinedproteomics and multivariate analysis

Tarja Rajalahti a,b, R. Arneberg c,d, F.S. Berven e, A.C.Kroksveen e,f, M. Berle e, K.-M. Myhr a,b,g, C.A. Vedeler a,b,R.J. Ulvik e,h, O.M. Kvalheim i

a Department of Clinical Medicine, University of Bergen, Norwayb Department of Neurology, Haukeland University Hospital, Bergen,Norwayc Center for Integrated Petroleum Research, University of Bergen,Norwayd Pattern Recognition Systems AS, Bergen, Norwaye Institute of Medicine, University of Bergen, Norwayf Institute of Molecular Biology, University of Bergen, Norwayg The National Competence Centre for Multiple Sclerosis, HaukelandUniversity Hospital, Bergen, Norwayh Laboratory of Clinical Biochemistry, Haukeland University Hospi-tal, Bergen, Norwayi Department of Chemistry, University of Bergen, Norway

Cerebrospinal fluid (CSF) is a perfect source to search fornew biomarkers to improve early diagnosis of neurologicaldiseases. In the present study, MALDI-TOF mass spectrom-etry is used to examine the low molecular weight CSFproteome (Berven et al., 2007). Whole mass spectral profilesfrom patients with multiple sclerosis and orthopedic patients(controls) are then pretreated (Arneberg et al., 2007) and ana-lyzed using multivariate techniques. Target projection hasearlier been introduced as a method to transform abstractlatent variables from multivariate regression into easily inter-pretable factors (Kvalheim et al., 1989). In this work, we havedeveloped the approach further to provide information aboutvariables (biomarkers) and objects (end-members) that arealmost exclusively explained by the latent variable producedby target projection on PLS (partial least squares) components.Biomarker candidates are easily and reliably identified usingthis approach. It is also shown to reduce the risk of findingfalse candidates.

e f e r e n c e

Arneberg, R., et al., 2007. Anal. Chem. 79, 7014.

Kvalheim, O.M., et al., 1989. Chemom. Intell. Lab. Syst. 7, 39.

doi:10.1016/j.ejps.2008.02.068