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Large Scale Scanning of Metabolites in IMS-Chromatograms · Large Scale Scanning of Metabolites in...

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Large Scale Scanning of Metabolites in IMS-Chromatograms * Korea InsƟtute of Science and Technology Europe ForschungsgesellschaŌ mbH (KIST Europe) Campus E 7 1 - 66123 Saarbrücken - Germany phone + 49 (0) 681 9382 229 - fax + 49 (0) 681 9382 240 hƩp://www.kist-europe/r_cd_jibb.html hƩp://www.kist-europe.com hƩp://www.kist-europe.de Contact: PD Dr. Jörg Ingo Baumbach Head of Department Microuidics and Clinical DiagnosƟcs [email protected] Part of a IMS-Chromatogram of human breath * Kor * Kor * Kor * Kor * Kor *K * Kor * Kor * Kor * Kor * Ko * Kor * Kor Kor ea In ea In ea In ea In ea In ea In ea In ea In a In ea In ea In ea ea In a sƟtu sƟtu sƟtu sƟtu sƟtu sƟtu u sƟtu sƟtu sƟtu sƟtu sƟtu sƟtu sƟtu Ɵt te of te of te of te of te of te o te of te of te of e o e of te of e of eo te of Scie Scie Scie Scie Scie Scie Scie Scie Scie Scie cience a nce a nce a nce a nce a nce a ce nce a nce a nce a nce a ce ea e and Te nd Te nd Te nd Te nd Te nd Te nd Te nd T d nd Te d Te nd Te nd Te nd chnol chnol chnol chnol chnol chnol chnol chnol ol o ol chnol ol l chn chnol ol c ol hno ogy E ogy E ogy E ogy E ogy E ogy E ogy ogy E ogy E ogy E ogy E ogy E ogy E ogy E o ogy Europe urop urope urop urope urope urop uro urope urope urope pe pe pe pe pe e ro urope pe rope e e e Fors Fors Fors Fors Fors Fors Fors Fors Fors Fors ors ors Fors Fors or F F F F Fo chung chung chung chung chung chung chung chung chung chung chung g chung chung chung g chungsges sg sges sge sgese sges sgese sgese sgese sgese sgese e sgese sgese s sgese se se s se g se e llsch llsch llsch llsc llsc llsch h h llsch lsch h lls llsch h h h llsch lsch h lls aŌ m aŌ m aŌ m aŌ m aŌ m aŌ m aŌ m aŌ m m aŌ m Ō m m Ō m m m m Ō mbH (K bH (K bH (K H (K H (K H H H H H ( H (K H bH (K K H (K bH (K H H H H ( (K ( (K H IST E IST E IST E IST E IST E IST E IST E ST E ST ST ST E ST E ST E E ST T ST IST E ST E ST E IST E S S S urope urope urope urope rope urope urope urope rope ope pe p pe rope urope e op p ) ) ) ) ) ) ) ) ) ) ) ) ) b b b b b k k k k k k k hƩp: hƩp: hƩp: hƩp: hƩp: hƩp: hƩp: Ʃp: Ʃp hƩp hƩp: hƩp: p: hƩp: p: hƩp: hƩp: hƩp: hƩp: hƩp Ʃp h h //www //www //www //www //www //ww /www /www www www //www //www //www //www //www //www //www //www // //www //www //www / w ww w .kist .kist .kis .kis .k .kist .kist .kist .kis .kis is .kist kist .kist .kis .kis i .ki .kis .kis s s .kis kis .kis i -euro -e -euro euro euro euro -euro euro euro euro euro euro euro euro -euro uro eur euro - -euro -e pe/r pe/r_ pe/r_ pe/r_ pe/r_ pe/r pe/r pe/r_ e/r e/r_ pe/r_ pe/r_ pe/r_ pe/ / p p pe/r_ p pe/r_ r p p r pe/r r cd_ji cd_ji cd_ji cd_ji cd_ji cd_ji cd_ji cd ji cd_ji cd_ cd_ji cd_ji cd_ji d_ji cd_ i d_ji ji ji c cd_ji ji i i ibb.ht bb.ht bb.ht bb.ht bb. bb bb bb bb. bb bb.ht .ht b.ht bb bb bb.ht bb. bb. b .h h ht . b.h m m ml ml ml ml ml m ml ml ml ml m ml m ml ml m h h h h h h h h h // // // / / / / / / / / / / // / / k k k k k k Conta Conta Conta Conta Conta ont onta n ont Conta on ont Conta Conta Conta Conta Conta o ont Cont Conta on on ct: ct ct: ct: ct: ct: ct: ct: c ct ct PD PD P PD PD P PD PD D PD PD PD PD P PD P PD D D P D r. 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J J r D J D D örg I örg I örg I örg örg örg örg örg I örg I örg I örg I rg I örg örg I rg I rg I rg örg örg g örg I örg I ör ngo B go B ngo B ngo B go B go B go go go B go B ngo B o oB g go B go B go B go B go ngo go go B ngo B go ngo o n umba aumba aumba aumba aumba aumba aumba aumba umba mba umba aumba umba um aumba aum aumb umb b au aumb umb aumb mba a a aumba ba m m c ch ch ch ch ch ch ch ch ch c ch c ch ch ch h d d d d d d d d d d f f f f d d d d d d d d d d d d d d d l l l l l l l l l * Kor * Kor * Kor * Kor * Kor * Kor * Kor * Kor * Kor * Ko * Kor * Kor * * Kor Ko ea ea In ea In ea In ea In ea In ea In ea In ea In ea In ea In ea In a In I sƟtu sƟtu sƟtu sƟtu sƟtu sƟtu sƟtu sƟtu sƟtu sƟtu sƟtu sƟtu Ɵtu Ɵt Ɵ te of te of te of te of te of te of e of te of e of te of e of te of e of te o e of Scie Scie Scie Si Scie Si Scie Scie Scie Si Si Scie cie Scie nce a nce a nce nce nce a nce a nce a nce a nce nce a ce a c c nd Te nd Te nd Te nd Te nd Te nd Te nd Te dT Te nd Te nd Te nd Te nd Te chnol chnol chnol chnol chnol chno chnol chnol chn no no no h chn no chnol hno no no o o ogy E ogy E ogy E ogy E ogy E ogy E ogy E ogy E gy E ogy E ogy E E gy E urope uro urope urope uro urop uro uro ope p pe pe pe rope urop urope e urop p urope r pe Fors Fors Fors Fors Fors Fors or ors Fors Fors ors Fors Fors ors Fors chung chung chung chung chun chung hung chung chun chung chun chung chung g g g hung sges sges sgese sgese sgese gese gese gese ges g sg gese ges se se se ges s se sges e e es llsch llsc ll llsc lsch llsch llsc lsch llsch llsch llsch llsc ch ch ch h ch llsch ch lsc aŌ m aŌ m aŌ m aŌ m aŌ m Ō Ō m aŌ m Ō aŌ m Ō aŌ m Ō m Ō aŌ m aŌ m aŌ Ō m m aŌ Ō m bH (K bH (K bH (K bH (K bH (K bH (K H( H (K H (K H( H( H (K K H( bH (K H H( H( bH (K bH (K bH (K H H ( ( IST E IST E IST E IST E TE TE TE TE TE E E E TE TE T IST E IST E TE T T E urope urope urope urope rope urope urope urope e pe pe rope e e e ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) hƩp: hƩp: hƩp: hƩp hƩp: hƩp: hƩp: h hƩp: hƩp: hƩp: hƩp hƩp hƩ hƩp Ʃp hƩp hƩp Ʃ h hƩ //www //www //www //www //www //www //www /www www /www //www //ww www //www //www //ww //www //www //www //ww w //ww //w //w / //ww w w ww ww w ww w w w kist kis kis kist kist kis kist kist kist kis kis kis kist kis kist kis kis kis kis kis ki is ki kis k e e euro euro euro euro euro euro euro euro euro euro euro u euro euro uro pe/r pe/r pe/r pe/r pe/r pe/r pe/r pe/r pe/r pe/r e/r e/r e/ pe/r pe/r /r pe/r pe/r e/r / /r e/r e e e e e/r pe/r pe/ pe/r pe/r p pe/r e/r e/r e e/ e/ /r /r r cd cd cd cd ji dj cd ji d ji cd ji cd ji cd ji d ji j cd ji cd cd d cd cd cd d d i bb ht bb ht bb ht bb ht bb ht bb ht bb ht bb ht bb ht bb ht b ht bb ht b b bb ht bb ht bb ht bb ht bh bb ht h bb ht b ht b b ht b m m m m m m m m m ml ml ml m m ml ml m m ml ml ml m Conta Conta Conta Conta Conta Conta Conta Conta onta onta onta onta onta Conta Conta Conta Conta on a t ta o t ont ct: ct: ct: ct: ct ct: ct: ct: ct: : c PD PD PD PD PD PD D D D D PD D D PD PD PD D D Dr Dr J Dr J Dr Dr J Dr J r Dr Dr J Dr J Dr J r Dr D J r J Dr J rJ r rJ J D örg I örg I örg I ö örg I örg I örg I örg I örg örg I örg I örg I örg I örg I örg gI örg örg örg örg I örg I örg ö I örg ör ö ö örg I örg I örg I örg rg r rg g g g g ngo B ngo B ngo B ngo B ngo B ngo B go B go go B go B go B go B go B oB B go B go B B go B go B go B o B g aumba aumba aumba aumba aumba umba umba umba aumba aumba aumba aumba umba aumba umba aumba aumba aumba aumba umba aum aumba umba a a au a aumb aumb a aumba aumba umba um mb mba mba m mb b ch h ch ch c c ch h ch ch ch ch h ch h ch ch h ch c c ch c ch c ch c ch h S. Maddula 1 , K. Rupp 1 , J.I. Baumbach 1,2 1 KIST Europe, Department Microuidics and Clinical DiagnosƟcs, Campus E 71, 66123 Saarbrücken, Germany 2 B&S AnalyƟk, BioMedicalCenter Dortmund, OƩo-Hahn-Str. 15, 44227 Dortmund, Germany Acknowledgements The nancial support of the Ministry of EducaƟon, Science and Technology (MEST) of the Republic Korea is acknowledged thankfully. Part of the work on this paper has been supported by Deutsche For- schungsgemeinschaŌ (DFG) within the CollaboraƟ- ve Research Center (Sonderforschungsbereich) SFB 876 „Providing InformaƟon by Resource-Constrai- ned Analysis“, project TB1 “Resource-Constrained Analysis of Spectrometry Data“. In addiƟon, the work was supported partly by the German Federal Ministry of Economics and Tech- nology based on a decision of the German Bundes- tag within the project KF2368102AKO. The authors thank K. Darwiche, U. Sommerwerck and L. Freitag among other colleagues of the Ruhr- landklinik Essen for release of the data obtained in Essen. ANALYTES Part Part Part Part Part Part rt of of of of of of of a IM a IM a IM a IM a IM a IM IMS-Ch S-Ch S-Ch S-Ch S-Ch S-C S SC roma roma roma roma roma m r m ANALYTE ANALYTE ANALYTE Ion mobility spectrometry coupled to a mulƟ-capillary column (MCC/IMS) was introduced for medical ap- plicaƟons including intensive care and point of care to detect signals related to bacteria, cancer, diseases, in- ammaƟon, pharmaceuƟcals etc. Not only the analyƟcal quesƟons such as sampling, sample int- roducƟon and operaƟon are gaining signicance, but also various data mining operaƟons are aƩaining increased importance. The pa- rallel evaluaƟon of some hundreds of peaks characterized by po- siƟon, volume, and consideraƟon of monomers, dimers and trimers, and searching in databases with thousands of data from paƟents needs standardizaƟon and ecient data mining procedures. ValidaƟon of analytes e.g. using parallel GC/MSD measurements makes the situaƟon more com- plicated. e e e e es s s s s i i i i in n n n n e e e e ex x x x x xh h h h ha a a a al l l l le e e e e e e ed d d d d b b b b br r r r re e e e ea a a a at t t t th h h h h) ) ) ) ) ( ( ( ( ( ( ( ( (vo o o o ol l l l la a a a aƟ Ɵ Ɵ Ɵ Ɵl l l l le e e e e metabolite Ackno Ackno Ackno Ackno Ackno Ackno Ackn Ackno Ackno Ackno Ackno Ackno Ackno Ackno knowledg wledg wledg wledg wledg wledg wledg wledg wledg wledg wledg wledg wledg wle ement ement ement ement ement ement ement ement ement ement ment ement ement ement ement e s s s s s s s s s s s s s The The The The The The The The The The The The The The T The The e nanc nanc nanc nanc nanc nanc nanc nanc nanc nanc nanc anc nanc an a ial s ial s ial s ial s ial s ial s ial s al s al s al s ial s ial s ial s ial s suppor uppor uppor uppor uppor uppor uppor uppor uppor uppor uppor uppor uppo u t of t of t of t of t of t of t of t of t of t of of t of t o t of t o the M the M the M the M the M the M the M the M the M the M the M the M the M the M he Minist inist inist inist inist inist inist inist inist inist inist inist inist inist nistry of ry of ry of ry of y of ry of y of ry of ry of ry of ry of ry of ry of ry of ry of y y f Educ Educ Educ Educ Educ Educ Educ Educ Educ Educ duc Educ Educ Educ duc E Ed aƟon aƟo aƟon aƟon aƟon aƟon aƟon aƟo aƟon aƟ a aƟon aƟ , , , , , Scien Scien Scien Scie Sci Sci Scien Scien Scien Scien Scien Scie S S Scie S ce an ce an ce an ce an ea ce an ce an ce an ce an an an n n n n n n n n nd Tec d Tec d Tec d Tec Tec d Tec d Tec d Tec d Tec d Tec d Tec d Tec d Tec d T d T d Tec d Tec d T dT T d T dT d hnolo hnolo hnolo hnolo hnolo nolo hnolo hnolo hnol hnolo nolo hnolo ol hnolo nology (M gy (M gy (M gy (M gy (M gy (M gy (M gy (M gy (M gy (M gy (M gy (M y (M gy (M y (M y (M EST) EST) EST) EST) EST EST) EST) EST) EST) EST) EST) EST) ST) EST EST EST of th of th of th of th of th of th of th of th of th of th of th of th of th of th of f the Rep e Rep e Rep e Rep e Rep e Rep e Rep e Rep e Rep e Rep e Rep e Rep e Rep e Re e Rep e Re ublic ublic ublic ublic ublic ublic ubl ublic ublic ublic ublic ublic ublic ublic ublic K K Korea Kore K Korea Korea Korea Korea Korea Korea Korea Korea Korea Korea K Kore K Korea a is a is a is a is a sa is a is a is sa is a s a is a s a is a acknow cknow cknow cknow cknow cknow cknow know cknow cknow know cknow cknow no cknow ckno ckn ckn ckn ckno ckn kn c ledge ledge ledge ledge ledge ledge ledge ledge edg edge ledge ledge edg edge ledge edge ledge ge dg dge edge dge ge ge e ge d d tha d tha d tha d t d tha d tha d th d tha d th d th d tha d tha d tha tha d tha h tha d th d tha d tha tha d tha d tha dt d t dt nkfu nkf nkf nkf nkful nkful nkf nkful nkful nkful nkful nkful nkful nkf nkfu nkful nkfu nkful nkfu nkful nkful fu ly. 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Actually, two dierent soŌware packages were develo- ped with respect to visualizaƟon of IMS- Chromatograms and including peak idenƟ- caƟon, referencing and classicaƟon with respect to large scale applicaƟons. The soŌware package IPHEX (by A. Bunkowski, Bielefeld, Germany) focuses on handling of data and supports manual search for peaks and relaƟons to classes of diseases including bar charts and box-and-wisker plots. On the other hand, VisualNow (by B. Bödeker, B&S AnalyƟk, Dortmund, Germany) focuses on automaƟc large scale scanning of IMS- Chromatograms and includes preparaƟon of re- ports based on rank sum, box-and-wisker plots and probability densiƟes of re- levance. to det am N r d r siƟ trim from pa mining proc i ll lGC
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Page 1: Large Scale Scanning of Metabolites in IMS-Chromatograms · Large Scale Scanning of Metabolites in IMS-Chromatograms * Korea Ins tute of Science and Technology Europe Forschungsgesellscha

Large Scale Scanning of Metabolites in IMS-Chromatograms

* Korea Ins tute of Science and Technology Europe Forschungsgesellscha mbH (KIST Europe)Campus E 7 1 - 66123 Saarbrücken - Germany

phone + 49 (0) 681 9382 229 - fax + 49 (0) 681 9382 240

h p://www.kist-europe/r_cd_jibb.htmlh p://www.kist-europe.comh p://www.kist-europe.de

Contact: PD Dr. Jörg Ingo Baumbach Head of Department Microfl uidics and Clinical Diagnos cs [email protected]

Part of a IMS-Chromatogram of human breath

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S. Maddula1, K. Rupp1, J.I. Baumbach1,2

1 KIST Europe, Department Microfl uidics and Clinical Diagnos cs, Campus E 71, 66123 Saarbrücken, Germany2 B&S Analy k, BioMedicalCenter Dortmund, O o-Hahn-Str. 15, 44227 Dortmund, Germany

Acknowledgements

The fi nancial support of the Ministry of Educa on, Science and Technology (MEST) of the Republic

Korea is acknowledged thankfully. Part of the work on this paper has been supported by Deutsche For-schungsgemeinscha (DFG) within the Collabora -ve Research Center (Sonderforschungsbereich) SFB 876 „Providing Informa on by Resource-Constrai-ned Analysis“, project TB1 “Resource-Constrained

Analysis of Spectrometry Data“.

In addi on, the work was supported partly by the German Federal Ministry of Economics and Tech-

nology based on a decision of the German Bundes-tag within the project KF2368102AKO.

The authors thank K. Darwiche, U. Sommerwerck and L. Freitag among other colleagues of the Ruhr-landklinik Essen for release of the data obtained in

Essen.

ANALYTES

PartPartPartPartPartPartrtrr of of of of of ofof a IMa IMa IMa IMa IMa IMIMS-ChS-ChS-ChS-ChS-ChS-CSS C romaromaromaromaromamr m

ANALYTEANALYTEANALYTE

Ion mobility spectrometry coupled to a mul -capillary column

(MCC/IMS) was introduced for medical ap-plica ons including intensive care and point of care

to detect signals related to bacteria, cancer, diseases, in-fl amma on, pharmaceu cals etc.

Not only the analy cal ques ons such as sampling, sample int-roduc on and opera on are gaining signifi cance, but also various data mining opera ons are a aining increased importance. The pa-rallel evalua on of some hundreds of peaks characterized by po-

si on, volume, and considera on of monomers, dimers and trimers, and searching in databases with thousands of data

from pa ents needs standardiza on and effi cient data mining procedures. Valida on of analytes e.g.

using parallel GC/MSD measurements makes the situa on more com-

plicated.

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EssenEssenEssenEssenEssenEssenEssenEssenEssenEssenEssenEssenssenEssenEssE ........

Actually, two diff erent so ware packages were develo-

ped with respect to visualiza on of IMS-Chromatograms and including peak iden fi -

ca on, referencing and classifi ca on with respect to large scale applica ons. The so ware package

IPHEX (by A. Bunkowski, Bielefeld, Germany) focuses on handling of data and supports manual search for peaks

and rela ons to classes of diseases including bar charts and box-and-wisker plots. On the other hand, VisualNow

(by B. Bödeker, B&S Analy k, Dortmund, Germany) focuses on automa c large scale scanning of IMS-

Chromatograms and includes prepara on of re-ports based on rank sum, box-and-wisker

plots and probability densi es of re-levance.

to detfl am

Nrdr

sitrim

from pamining proc

i ll l GC

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