Separation and determination of β‐casomorphins by using glass microfluidic chip electrophoresis together with laser‐induced fluorescence detection

Wang, Zongwen; Wang, WenJian; Wang, Wei; Xu, Li; Chen, Guonan; Fu, FengFu

doi:10.1002/jssc.201000634

Cited by 21 publications

(6 citation statements)

References 34 publications

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“…These data are consistent with the conclusion that casomorphin is not a causative agent for an increased proliferative ability within the poor prognosis group. However, as casomorphin hydrolysis products can be detected in serum, elevated levels have the potential to identify patients within the poor prognosis cluster, and may thus represent a novel prognostic stratification biomarker 24 25 26 .…”

Section: Resultsmentioning

confidence: 99%

Generation of 2,000 breast cancer metabolic landscapes reveals a poor prognosis group with active serotonin production

Leoncikas

Ward

et al. 2016

Sci Rep

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A major roadblock in the effective treatment of cancers is their heterogeneity, whereby multiple molecular landscapes are classified as a single disease. To explore the contribution of cellular metabolism to cancer heterogeneity, we analyse the Metabric dataset, a landmark genomic and transcriptomic study of 2,000 individual breast tumours, in the context of the human genome-scale metabolic network. We create personalized metabolic landscapes for each tumour by exploring sets of active reactions that satisfy constraints derived from human biochemistry and maximize congruency with the Metabric transcriptome data. Classification of the personalized landscapes derived from 997 tumour samples within the Metabric discovery dataset reveals a novel poor prognosis cluster, reproducible in the 995-sample validation dataset. We experimentally follow mechanistic hypotheses resulting from the computational study and establish that active serotonin production is a major metabolic feature of the poor prognosis group. These data support the reconsideration of concomitant serotonin-specific uptake inhibitors treatment during breast cancer chemotherapy.

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Section: Resultsmentioning

confidence: 99%

Generation of 2,000 breast cancer metabolic landscapes reveals a poor prognosis group with active serotonin production

Leoncikas

Ward

et al. 2016

Sci Rep

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“…In addition to the selection of perfect Tef-PCs, the pH value of the running buffer was found to impact strongly on the separation as reported. 37 After some optimization, the peptides could be baseline separated in 12 s, through a 10 mm PC bed at pH 10.02, with H = 0.81-1.01 mm. The separation speed is comparable with that of the C18-modified silica colloidal stripe, 5 but resolution and overall performance are clearly much improved.…”

Section: Tef-pc-based Separation Of Amino Acids and Peptidesmentioning

confidence: 99%

One-step packing of anti-voltage photonic crystals into microfluidic channels for ultra-fast separation of amino acids and peptides

Liao

Guo

et al. 2013

Lab Chip

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Packing of stable and crack-free photonic crystals (PCs) into micro channels is a prerequisite for ideal separation, but often takes several days and many steps, including assembly and immobilization. This work was dedicated to finding a fast, one-step solution. Simply by heating and blowing away the vapor, the packing of silica PCs into micro channels by classic evaporation-induced assembly was greatly accelerated and could unite the immobilization into one step. An apt method was thus established, which was able to pack 2 cm PCs into microfluidic channels in 15 min, saving a lot of time. The packed PCs showed no evident cracks along the borders of their continuous domain, therefore they are capable of withstanding an anti-electrical field at 2000 V cm(-1) for 5 h and storage in water for 2 months. This enables ultra-fast separation of amino acids along a 2.5 mm PC in 4 s, and peptides along a 10 mm PC in 12 s. The separation was highly efficient and reproducible, with a 300 nm plate height and 0.24%-0.35% relative standard deviation of migration time. This one-step approach is extendable to other gelling particles, and the resulted stable, crack-free PCs would have large potential in ultra-fast separation of other analytes.

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“…A simple, reliable and reproducible method for the separation and determination of five β‐CMs in cheese samples based on glass microfluidic chip electrophoresis and LIF detection has been developed . Figure shows the chip layout used (A) as well as the separation of the five β‐CMs (B).…”

Section: Optical Detection On Microchips Electrophoresismentioning

confidence: 99%

“…On the bottom, it is showed the installation diagram of microchip coupled with LIF . (B) Electropherogram of a 2 × 10 −6 mol/L mixed standard solution of five β‐casomorphins (specific information in [29] (Reprinted with permission from; Copyright 2011 John Wiley and Sons).…”

Section: Optical Detection On Microchips Electrophoresismentioning

confidence: 99%

Food analysis on microchip electrophoresis: An updated review

2012

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From 2008 to date, basically, single‐cross microchip electrophoresis (ME) design has been used for food analysis with electrochemicaland laser‐induced fluorescencedetection being the most commonprinciples coupled. In the last 4 years, the main outlines were: (i) the exploration of new analytes such as heavy metals, nitrite, micotoxins, microorganisms, and allergens; (ii) the development of electrokinetic microfluidic (bio‐) sensors into microchip format for the detection of toxins; and interestingly (iii) although sample preparation is still performed off‐chip, an important increase in works dealing with complicated food samples has been clearly noticed. Although microchip technology based on electrokinetics is emerging from important fields such as authentication of foods, detection of frauds, toxics, and allergens; the marriage between micro‐ and nanotechnologies and total integration approaches has not reached the expected impact in the field but it is still a great promise for the development of ME of new generations for food analysis.

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Separation and determination of β‐casomorphins by using glass microfluidic chip electrophoresis together with laser‐induced fluorescence detection

Cited by 21 publications

References 34 publications

Generation of 2,000 breast cancer metabolic landscapes reveals a poor prognosis group with active serotonin production

Generation of 2,000 breast cancer metabolic landscapes reveals a poor prognosis group with active serotonin production

One-step packing of anti-voltage photonic crystals into microfluidic channels for ultra-fast separation of amino acids and peptides

Food analysis on microchip electrophoresis: An updated review

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