Recent developments in CE and CEC of peptides (2009–2011)

Kašička, Václav

doi:10.1002/elps.201100419

Cited by 98 publications

(74 citation statements)

References 295 publications

(321 reference statements)

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“…These include monolithic immobilized pH gradient columns in which carrier ampholytes are bound to the monolith within the column [27]. cIEF performed as a first dimension has been coupled with capillary electrophoresis experiments in which carrier ampholytes are removed and subsequently coupled with additional chromatographic methodologies [28]. …”

Section: 2de and Ipg Stripsmentioning

confidence: 99%

Isoelectric Point Separations of Peptides and Proteins

Pergande

Cologna

2017

Proteomes

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The separation of ampholytic components according to isoelectric point has played an important role in isolating, reducing complexity and improving peptide and protein detection. This brief review outlines the basics of isoelectric focusing, including a summary of the historical achievements and considerations in experimental design. Derivative methodologies of isoelectric focusing are also discussed including common detection methods used. Applications in a variety of fields using isoelectric point based separations are provided as well as an outlook on the field for future studies.

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Section: 2de and Ipg Stripsmentioning

confidence: 99%

Isoelectric Point Separations of Peptides and Proteins

Pergande

Cologna

2017

Proteomes

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“…In CE-MS the molecules travel through a capillary tube by using an electric fi eld and electrolytic solution and separation is based on migration rate, which depends on the molecular charge, the molecular size, and the electroosmotic fl ow of the solution. Resolution, sensitivity, and reproducibility of CE-MS depend on the nature of the capillary tube coating, stability of pH and temperature (ERNY et al, 2006, KASICKA, 2012.…”

Section: Introductionmentioning

confidence: 99%

Trends in the application of chemometrics to foodomics studies

Khakimov¹,

Gürdeniz²,

Engelsen³

2015

Acta Alimentaria

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There is an ever-increasing trend in advanced food analysis and foodomics to use more and more sophisticated analytical platforms that generate large and complex data structures, which in turn require more and more sophisticated data analysis tools for converting data into information. The choice of multivariate chemometric methods is primarily determined by the design of the study, type of the data, and the conclusions sought. In order to validate multivariate models, scientists are required to have basic chemometric knowledge and to be familiar with the variance structure of the investigated data. This review outlines some of the key aspects of applying common chemometric methods used within foodomics and provides selected examples of current applications. The review aims to provide simple insight into various multivariate methods and to illustrate pros and cons of unsupervised and supervised methods. The main analytical platforms used in foodomics are briefl y discussed from the application point of view and the utilization of the generated data is illustrated. In addition, advanced data pre-processing tools, prior to multivariate analysis, are explained and relevant tools are demonstrated.

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“…Moreover, Huhn et al employed LIF/TOF-MS to determine labeled N-glycans [18]. Previous researches have highlighted excellent quantitative capabilities and high sensitivity of LIF [19][20][21][22][23]. Generally, the combination of LIF and TOF-MS has demonstrated significant potentials to address preceding quantitative issues.…”

Section: Introductionmentioning

confidence: 99%