Native fluorescence detection of biomolecular and pharmaceutical compounds in capillary electrophoresis: Detector designs, performance and applications: A review

Kort, Bregje J. de; Jong, Gerhardus J. de; Somsen, Govert W.

doi:10.1016/j.aca.2012.12.006

Cited by 64 publications

(31 citation statements)

References 186 publications

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“…Hence, it is significant to develop sensitive methods for the determination of OXT for food safety. In recent years, several techniques, such as high performance liquid chromatography (HPLC), liquid chromatography-mass spectrometry (LC-MS) [1], capillary electrophoresis [5], enzyme immunoassay procedures [6], have been reported for the determination of OXT. But, these techniques can require great amount of reagents and solvents.…”

Section: Introductionmentioning

confidence: 99%

Oxytocin imprinted polymer based surface plasmon resonance sensor and its application to milk sample

Yola

Atar

Erdem

2015

Sensors and Actuators B: Chemical

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Section: Introductionmentioning

confidence: 99%

Oxytocin imprinted polymer based surface plasmon resonance sensor and its application to milk sample

Yola

Atar

Erdem

2015

Sensors and Actuators B: Chemical

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“…For this reason, de Kort and colleagues observed that when fluorescent compounds were excited in deep-UV, detection sensitivity of CE-Flu could be compromised. 16 Consequently, to rely solely on fluorescence-based assays to detect autofluorescence is insufficient.…”

Section: ■ Introductionmentioning

confidence: 99%

Rule-Based Classification Models of Molecular Autofluorescence

Lin

et al. 2015

J. Chem. Inf. Model.

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Fluorescence-based detection has been commonly used in high-throughput screening (HTS) assays. Autofluorescent compounds, which can emit light in the absence of artificial fluorescent markers, often interfere with the detection of fluorophores and result in false positive signals in these assays. This interference presents a major issue in fluorescence-based screening techniques. In an effort to reduce the time and cost that will be spent on prescreening of autofluorescent compounds, in silico autofluorescence prediction models were developed for selected fluorescence-based assays in this study. Five prediction models were developed based on the respective fluorophores used in these HTS assays, which absorb and emit light at specific wavelengths (excitation/emission): Alexa Fluor 350 (A350) (340 nm/450 nm), 7-amino-4-trifluoromethyl-coumarin (AFC) (405 nm/520 nm), Alexa Fluor 488 (A488) (480 nm/540 nm), Rhodamine (547 nm/598 nm), and Texas Red (547 nm/618 nm). The C5.0 rule-based classification algorithm and PubChem 2D chemical structure fingerprints were used to develop prediction models. To optimize the accuracies of these prediction models despite the highly imbalanced ratio of fluorescent versus nonfluorescent compounds presented in the collected data sets, oversampling and undersampling strategies were applied. The average final accuracy achieved for the training set was 97%, and that for the testing set was 92%. In addition, five external data sets were used to further validate the models. Ultimately, 14 representative structural features (or rules) were determined to efficiently predict autofluorescence in data sets containing both fluorescent and nonfluorescent compounds. Several cases were illustrated in this study to demonstrate the applicability of these rules.

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“…In the oncapillary mode, the systems are configured to make the detection directly on the separation capillary, whereas in the end-capillary mode, the detectors are connected to the end of the capillary. In this sense, a number of detection methods have been interfaced with commercial CE, including fluorescence, phosphorescence or chemiluminescence (Timperman et al 1995a,b, De Kort et al 2013, electrochemical (Chicharro et al 2002, Wallingford and Ewing 1987, 1988, mass spectroscrometry (MS) (Santos et al 2006a,b), inductively coupled plasma-MS (Deng and Chan 2000), Vibrational spectrocometry (Kölhed et al 2002), nuclear magnetic resonance (NMR) (Johnson and He 1989) and other unconventional detectors, such as evaporating light scattering (ELSD) (Bouri et al 2013b). …”

Section: Non-commercially Available Interfaced Detectorsmentioning

confidence: 99%

“…For further information about integration of specified sample treatments and commercially interfaced CE detectors, readers should consult more specialized books and publications (Marina et al 2005, Santos et al 2006a,b, Arce et al 2009, De Kort et al 2013). …”

Section: Introductionmentioning

confidence: 99%

Interfacing commercially available capillary electrophoresis to sample preparation and/or detection systems to solve analytical problems

Zougagh¹,

Ríos²

2014

Reviews in Analytical Chemistry

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This review presents the state-of-the-art of interfacing sample preparation and detector systems with commercially available capillary electrophoresis (CE) equipment. The analytical potential of combined sample preparation units into commercially available CE equipment under integrated or coupling approaches, allowing at-line, on-line, and in-line arrangements to automate sample preparation is discussed. Some examples of the analytical applications are reported when using different sample treatment procedures, such as cleanup and preconcentration, extraction/filtering, gas extraction/diffusion, extraction with membrane and hollow fiber, and dialysis and extraction with supported liquid membrane. CE interfaced detectors are also discussed by distinguishing between commercially available CE equipment and those not commercially available and focusing on the latter. Interfaced CE approaches clearly expand the field of application of the CE and connect to the real world in routine analytical laboratories, avoiding the drawbacks and limitations of electrophoretic separations.

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Native fluorescence detection of biomolecular and pharmaceutical compounds in capillary electrophoresis: Detector designs, performance and applications: A review

Cited by 64 publications

References 186 publications

Oxytocin imprinted polymer based surface plasmon resonance sensor and its application to milk sample

Oxytocin imprinted polymer based surface plasmon resonance sensor and its application to milk sample

Rule-Based Classification Models of Molecular Autofluorescence

Interfacing commercially available capillary electrophoresis to sample preparation and/or detection systems to solve analytical problems

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