Competitive immunoassay of phenobarbital by microchip electrophoresis with laser induced fluorescence detection

Huang, Yong; Zhao, Shulin; Shi, Ming; Liu, Jinwen; Liang, Hong

doi:10.1016/j.aca.2011.03.036

Cited by 18 publications

(11 citation statements)

References 39 publications

(36 reference statements)

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“…A multiplexed IA for five model antigens in human serum was demonstrated. Analyte concentration detection sensitivity measured via the single‐plex assay was comparable to the multiplexed assay .…”

Section: Quantitative Microfluidic Emsas That Utilize Affinity Molecumentioning

confidence: 89%

“…Quantitative measurements of unlabeled TNT concentration were demonstrated over a wide dynamic range of approximately 2 to 530 nM (converted from the concentration units reported by the authors). Huang et al coupled chemiluminescence (CL) to a competitive assay . Here, horseradish peroxidase labeled antigen and its antibody were mixed and loaded on a standard double‐T channel for separation.…”

Section: Quantitative Microfluidic Emsas That Utilize Affinity Molecumentioning

confidence: 99%

“…B). Human serum proteins including testosterone , thyroxine , and phenobarbital were quantified. Enhanced signal was observed from enzymatic amplification and a lower LOD (LLOD) of a few nanomolar was reported.…”

Section: Quantitative Microfluidic Emsas That Utilize Affinity Molecumentioning

confidence: 99%

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Microfluidic electrophoretic mobility shift assays for quantitative biochemical analysis

2014

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Section: Quantitative Microfluidic Emsas That Utilize Affinity Molecumentioning

confidence: 89%

Section: Quantitative Microfluidic Emsas That Utilize Affinity Molecumentioning

confidence: 99%

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Microfluidic electrophoretic mobility shift assays for quantitative biochemical analysis

2014

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“…Neurological diseases including multiple sclerosis [104], epilepsy [105,106], bipolar disorder [107,108], and Alzheimer's disease [109][110][111][112] were investigated…”

Section: Neurological Diseasesmentioning

confidence: 99%

A decade of microchip electrophoresis for clinical diagnostics – A review of 2008–2017

Wuethrich

Quirino

2019

Analytica Chimica Acta

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A core element in clinical diagnostics is the data interpretation obtained through the analysis of patient samples. To obtain relevant and reliable information, a methodological approach of sample preparation, separation, and detection is required. Traditionally, these steps are performed independently and stepwise. Microchip capillary electrophoresis (MCE) can provide rapid and high-resolution separation with the capability to integrate a streamlined and complete diagnostic workflow suitable for the point-of-care setting. Whilst standard clinical diagnostics methods normally require hours to days to retrieve specific patient data, MCE can reduce the time to minutes, hastening the delivery of treatment options for the patients. This review covers the advances in MCE for disease detection from 2008 to 2017. Miniaturised diagnostic approaches that required an electrophoretic separation step prior to the detection of the biological samples are reviewed. In the two main sections, the discussion is focused on the technical setup used to suit MCE for disease detection and on the strategies that have been applied to study various diseases. Throughout these discussions MCE is compared to other techniques to create context of the potential and challenges of MCE. A comprehensive table categorised based on the studied disease using MCE is provided. We also comment on future challenges that remain to be addressed.

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“…MCE with LIF detection has also been widely employed for immunoassays and enzymatic reactions. A MCE method with LIF detection was developed by Yong et al 51 for the immunoassay of phenobarbital. The detection was based on the competitive immunoreaction between analyte phenobarbital and fluorescein isothiocyanate (FITC)‐labelled phenobarbital with a limited amount of antibody.…”

Section: Detection Modes In Mcementioning

confidence: 99%

Error correction of arrival time prediction in real time bus information system

Kim

Lee

Kim

et al. 2010

J of Advced Transportation

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SUMMARYMany large cities in Korea have either implemented or are planning to install a bus information system (BIS) in order to improve the quality of service for bus passengers. This is mainly being conducted by providing bus arrival times at bus stops. In these systems, similar systematic errors occur in the estimation of bus arrival times, which are influenced by the information updating time (cycle length) taken to identify each bus location, the information processing time, and the cycle length required to update the bus arrival information on each terminal. The systematic errors can occur in the collection of data, information processing, and in the passenger waiting time. This study investigated these systematic errors and developed a statistical method for correcting these errors in order to improve the accuracy of the BIS information. The proposed method is based on probability density functions and the random incidence concept. The developed method was then applied to the BIS of a city in Korea in order to verify the efficacy of the method. Through the verification results, there was a 23% error reduction after applying the error correction method to the BIS.

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Competitive immunoassay of phenobarbital by microchip electrophoresis with laser induced fluorescence detection

Cited by 18 publications

References 39 publications

Microfluidic electrophoretic mobility shift assays for quantitative biochemical analysis

Microfluidic electrophoretic mobility shift assays for quantitative biochemical analysis

A decade of microchip electrophoresis for clinical diagnostics – A review of 2008–2017

Error correction of arrival time prediction in real time bus information system

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