-
Something wrong with this record ?
Automated Sequential Derivatization for Gas Chromatography-[Orbitrap] Mass Spectrometry-based Metabolite Profiling of Human Blood-based Samples
A. Jbebli, K. Coufalíková, M. Zanaboni, M. Bergna, R. Picenoni, J. Klánová, EJ. Price
Status not-indexed Language English Country United States
Document type Journal Article
NLK
Directory of Open Access Journals
from 2023
Freely Accessible Science Journals
from 2011
PubMed Central
from 2015
- Publication type
- Journal Article MeSH
Many small molecules require derivatization to increase their volatility and to be amenable to gas chromatographic (GC) separation. Derivatization is usually time-consuming, and typical batch-wise procedures increase sample variability. Sequential automation of derivatization via robotic liquid handling enables the overlapping of sample preparation and analysis, maximizing time efficiency and minimizing variability. Herein, a protocol for the fully automated, two-stage derivatization of human blood-based samples in line with GC-[Orbitrap] mass spectrometry (MS)-based metabolomics is described. The protocol delivers a sample-to-sample runtime of 31 min, being suitable for better throughput routine metabolomic analysis. Key features • Direct and rapid methoximation on vial followed by silylation of metabolites in various blood matrices. • Measure ~40 samples per 24 h, identifying > 70 metabolites. • Quantitative reproducibility of routinely measured metabolites with coefficients of variation (CVs) < 30%. • Requires a Thermo ScientificTM TriPlusTM RSH (or comparable) autosampler equipped with incubator/agitator, cooled drawer, and automatic tool change (ATC) station equipped with liquid handling tools. Graphical overview Workflow for profiling metabolites in human blood using automated derivatization.
CTC Analytics AG Zwingen Switzerland
RECETOX Faculty of Science Masaryk University Kotlarska 2 Brno Czech Republic
References provided by Crossref.org
- 000
- 00000naa a2200000 a 4500
- 001
- bmc25008273
- 003
- CZ-PrNML
- 005
- 20250422095710.0
- 007
- ta
- 008
- 250408s2025 xxu f 000 0|eng||
- 009
- AR
- 024 7_
- $a 10.21769/BioProtoc.5196 $2 doi
- 035 __
- $a (PubMed)40084079
- 040 __
- $a ABA008 $b cze $d ABA008 $e AACR2
- 041 0_
- $a eng
- 044 __
- $a xxu
- 100 1_
- $a Jbebli, Akrem $u RECETOX, Faculty of Science, Masaryk University, Kotlarska 2, Brno, Czech Republic
- 245 10
- $a Automated Sequential Derivatization for Gas Chromatography-[Orbitrap] Mass Spectrometry-based Metabolite Profiling of Human Blood-based Samples / $c A. Jbebli, K. Coufalíková, M. Zanaboni, M. Bergna, R. Picenoni, J. Klánová, EJ. Price
- 520 9_
- $a Many small molecules require derivatization to increase their volatility and to be amenable to gas chromatographic (GC) separation. Derivatization is usually time-consuming, and typical batch-wise procedures increase sample variability. Sequential automation of derivatization via robotic liquid handling enables the overlapping of sample preparation and analysis, maximizing time efficiency and minimizing variability. Herein, a protocol for the fully automated, two-stage derivatization of human blood-based samples in line with GC-[Orbitrap] mass spectrometry (MS)-based metabolomics is described. The protocol delivers a sample-to-sample runtime of 31 min, being suitable for better throughput routine metabolomic analysis. Key features • Direct and rapid methoximation on vial followed by silylation of metabolites in various blood matrices. • Measure ~40 samples per 24 h, identifying > 70 metabolites. • Quantitative reproducibility of routinely measured metabolites with coefficients of variation (CVs) < 30%. • Requires a Thermo ScientificTM TriPlusTM RSH (or comparable) autosampler equipped with incubator/agitator, cooled drawer, and automatic tool change (ATC) station equipped with liquid handling tools. Graphical overview Workflow for profiling metabolites in human blood using automated derivatization.
- 590 __
- $a NEINDEXOVÁNO
- 655 _2
- $a časopisecké články $7 D016428
- 700 1_
- $a Coufalíková, Kateřina $u RECETOX, Faculty of Science, Masaryk University, Kotlarska 2, Brno, Czech Republic $u EIRENE-CZ, Brno, Czech Republic
- 700 1_
- $a Zanaboni, Moira $u Thermo Fisher Scientific, Milan, Italy
- 700 1_
- $a Bergna, Manuela $u Thermo Fisher Scientific, Milan, Italy
- 700 1_
- $a Picenoni, Renzo $u CTC Analytics AG, Zwingen, Switzerland
- 700 1_
- $a Klánová, Jana $u RECETOX, Faculty of Science, Masaryk University, Kotlarska 2, Brno, Czech Republic $u EIRENE-CZ, Brno, Czech Republic
- 700 1_
- $a Price, Elliott J $u RECETOX, Faculty of Science, Masaryk University, Kotlarska 2, Brno, Czech Republic $u EIRENE-CZ, Brno, Czech Republic
- 773 0_
- $w MED00193490 $t Bio-protocol $x 2331-8325 $g Roč. 15, č. 5 (2025), s. e5196
- 856 41
- $u https://pubmed.ncbi.nlm.nih.gov/40084079 $y Pubmed
- 910 __
- $a ABA008 $b sig $c sign $y - $z 0
- 990 __
- $a 20250408 $b ABA008
- 991 __
- $a 20250422095712 $b ABA008
- 999 __
- $a ok $b bmc $g 2306323 $s 1245348
- BAS __
- $a 3
- BAS __
- $a PreBMC-PubMed-not-MEDLINE
- BMC __
- $a 2025 $b 15 $c 5 $d e5196 $e 20250305 $i 2331-8325 $m Bio-protocol $n Bio Protoc $x MED00193490
- LZP __
- $a Pubmed-20250408