Influence of sample and mobile phase composition on peptide retention behaviour and sensitivity in reversed-phase liquid chromatography/mass spectrometry

Houbart, Virginie; Rozet, Eric; Matagne, André; Crommen, Jacques; Servais, Anne-Catherine; Fillet, Marianne

doi:10.1016/j.chroma.2013.09.036

Cited by 15 publications

(8 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…We believe that reduction of aspecific adsorption is of particular importance during standard preparation. In contrary, the sample composition in the UHPLC vial is important for optimal loading of the peptides onto the trapping column and is not related to a reduction in peptide adsorption in the vial, as hypothesized in the literature [25,27]. The parameter that has the greatest impact on the gain in sensitivity is the composition of the injection solvent.…”

Section: Comparison Of the Optimal Solvents For Standard Preparation mentioning

confidence: 91%

“…The beneficial effect of ACN on method sensitivity has already been described [24,27], whereas the influence of FA is less clear and depends on the nature of the peptide [22,27]. In order to investigate whether the injection of our peptides is influenced when ACN and FA are present in the UHPLC vial, an experimental set-up is applied which is relevant for the future study of freshly collected microdialysis samples derived from animal models of neurological diseases.…”

Section: Preliminary Experiments: Beneficial Effect Of Fa And/or Acn?mentioning

confidence: 99%

“…(a) NT and proved already its usefulness in peptide analyses [27]. Besides ACN, methanol (MeOH) and dimethylsulfoxide (DMSO) are widely used organic solvents.…”

Section: Fractional Factorial Designmentioning

confidence: 99%

“…Since a beneficial effect of organic solvent and/or acid on aspecific adsorption has already been reported [22][23][24]27], the influence of different solvents on the responses of our peptides of interest is evaluated using a fractional factorial design. The most influencing solvents are further fine-tuned in a central composite design and the optimal experimental conditions are predicted using Derringer multi-response methodology [28].…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Improved sensitivity of the nano ultra-high performance liquid chromatography-tandem mass spectrometric analysis of low-concentrated neuropeptides by reducing aspecific adsorption and optimizing the injection solvent

Maes

Liefferinge

Viaene

et al. 2014

Journal of Chromatography A

View full text Add to dashboard Cite

Section: Comparison Of the Optimal Solvents For Standard Preparation mentioning

confidence: 91%

Section: Preliminary Experiments: Beneficial Effect Of Fa And/or Acn?mentioning

confidence: 99%

“…(a) NT and proved already its usefulness in peptide analyses [27]. Besides ACN, methanol (MeOH) and dimethylsulfoxide (DMSO) are widely used organic solvents.…”

Section: Fractional Factorial Designmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Improved sensitivity of the nano ultra-high performance liquid chromatography-tandem mass spectrometric analysis of low-concentrated neuropeptides by reducing aspecific adsorption and optimizing the injection solvent

Maes

Liefferinge

Viaene

et al. 2014

Journal of Chromatography A

View full text Add to dashboard Cite

“…Deeper understanding and prediction of peptide retention on different chromatographic systems have been achieved by multivariate analysis, where Design of Experiment (DoE), Principal Component Analysis (PCA) and Partial Least Square regression (PLS) were used for the identification of peptide properties which mainly affect the chromatographic retention [38][39][40][41] . This powerful approach allows the simultaneous screening of many variables influencing the studied system with the advantage to achieve a more complete overview on the variables effects and interactions with a limited amount of experiments.…”

Section: Introducionmentioning

confidence: 99%

Exploring the peptide retention mechanism in molecularly imprinted polymers

et al. 2017

View full text Add to dashboard Cite

Molecularly imprinted polymers (MIPs) have been used as useful sorbents in solid-phase extraction for a wide range of molecules and sample matrices. Their unique selectivity can be fine-tuned in the imprinting process and is crucial for the extraction of macromolecules from complex matrices such as serum. A relevant example of this is the application of MIPs to peptides in diagnostic assays. In this article the selectivity of MIPs, previously implemented in a quantitative mass-spectrometric assay for the biomarker pro-gastrin-releasing peptide, is investigated. Partial least squares regression was used to generate models for the evaluation and prediction of the retention mechanism of MIPs. A hypothesis on interactions of MIPs with the target peptide was verified by ad hoc experiments considering the relevant peptide physicochemical properties highlighted from the multivariate analysis. Novel insights into and knowledge of the driving forces responsible for the MIP selectivity have been obtained and can be directly used for further optimization of MIP imprinting strategies. Graphical Abstract Applied analytical strategy: the Solid Phase Extraction (SPE) of digested Bovin Serum Albumin (BSA), using Molecularly Imprinted Polymers (MIP), is followed by the liquid chromatography-mass spectrometry (LC-MS) analysis for the identification of the retained peptides. The further application of multivariate analysis allows setting up a Partial Least Square (PLS) model, which describes the peptide retention into the MIP and gives additional knowledge to be used in the optimization of the MIP and the whole SPE method.

show abstract

Optimizing Mass Spectrometry Analyses: A Tailored Review on the Utility of Design of Experiments

Hecht

Oberg

Muddiman

2016

J. Am. Soc. Mass Spectrom.

View full text Add to dashboard Cite

SUMMARY Mass spectrometry (MS) has emerged as a tool that can analyze nearly all classes of molecules, with its scope rapidly expanding in the areas of post-translational modifications, MS instrumentation, and many others. Yet integration of novel analyte preparatory and purification methods with existing or novel mass spectrometers can introduce new challenges for MS sensitivity. The mechanisms that govern detection by MS are particularly complex and interdependent, including ionization efficiency, ion suppression, and transmission. Performance of both off-line and MS methods can be optimized separately or, when appropriate, simultaneously through statistical designs, broadly referred to as “design of experiments” (DOE). The following review provides a tutorial-like guide into the selection of DOE for MS experiments, the practices for modeling and optimization of response variables, and the available software tools that support DOE implementation in any laboratory. This review comes three years after the latest DOE review (Hibbert DB 2012), which provided a comprehensive overview on the types of designs available and their statistical construction. Since that time, new classes of DOE, such as the definitive screening design, have emerged and new calls have been made for mass spectrometrists to adopt the practice. Rather than exhaustively cover all possible designs, we have highlighted the three most practical DOE classes available to mass spectrometrists. This review further differentiates itself by providing expert recommendations for experimental setup and defining DOE entirely in the context of three case-studies that highlight the utility of different designs to achieve different goals. A step-by-step tutorial is also provided.

show abstract

Influence of sample and mobile phase composition on peptide retention behaviour and sensitivity in reversed-phase liquid chromatography/mass spectrometry

Cited by 15 publications

References 20 publications

Improved sensitivity of the nano ultra-high performance liquid chromatography-tandem mass spectrometric analysis of low-concentrated neuropeptides by reducing aspecific adsorption and optimizing the injection solvent

Improved sensitivity of the nano ultra-high performance liquid chromatography-tandem mass spectrometric analysis of low-concentrated neuropeptides by reducing aspecific adsorption and optimizing the injection solvent

Exploring the peptide retention mechanism in molecularly imprinted polymers

Optimizing Mass Spectrometry Analyses: A Tailored Review on the Utility of Design of Experiments

Contact Info

Product

Resources

About