Gene/Protein
Disease
Symptom
Drug
Enzyme
Compound
Pivot Concepts:
Gene/Protein
Disease
Symptom
Drug
Enzyme
Compound
Target Concepts:
Gene/Protein
Disease
Symptom
Drug
Enzyme
Compound
Query: UMLS:C0016382 (
flushing
)
6,387
document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)
Online 2-dimensional chromatographic approaches for eliminating matrix effects and optimizing bioanalysis of peptides using ultra-high performance liquid chromatography-tandem mass spectrometry (UHPLC-MS/MS) were studied. Three therapeutic peptides (octreotide, desmopressin, and vasopressin) were selected as model analytes. Human plasma was precipitated with acetonitrile; peptides were analyzed on C(8), C(18), Phenyl and HILIC ACQUITY UPLC columns. For simpler online clean-up applications, a C(18) pre-column was coupled to the analytical column via a switching valve. For more complex heart-cutting applications, two analytical columns were used with optional online dilution to refocus the analyte peaks prior to the second dimension separation. This allows the use of MS incompatible mobile phases, such as
TFA
, in the first dimension separation. Online clean-up effectiveness was investigated by monitoring phospholipids.
Flushing
direction, mobile phase composition, flow rate and transfer window were evaluated. Phospholipids were readily retained on reversed-phase columns, and the peptides were reproducibly transferred, individually or as a group, to the second column using appropriate transfer windows. The best peak shapes were obtained when the second dimension column was more retentive (e.g. C(18) vs. C(8)). However, C(8) to HILIC gave broad unresolved peaks due to mobile phase mismatch. Trapped phospholipids were efficiently removed from either guard columns or first dimensional columns by forward- or back-
flushing
at high flows; however, back-
flushing
was more efficient with lower flow rates on larger columns.
...
PMID:Development and optimization of on-line 2-dimensional chromatographic approaches for eliminating matrix effects and improving bioanalysis of peptides in human plasma using UHPLC-MS/MS. 2391 59