2015
DOI: 10.1039/c5ay02248g
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A sensitive HPLC-ECD method for detecting serotonin released by RBL-2H3 cells stimulated by potential allergens

Abstract: An overview of the strategy for the evaluation of potential allergens by detection of released serotonin from RBL-2H3 cells by a HPLC-ECD method.

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Cited by 9 publications
(5 citation statements)
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“…Our HMN‐GO.Serotonin.aptamer could accurately identify serotonin levels from 0.5–4 μM with a LOD of 0.1 μM (Figure 2F); offering an effective solution for POCT of serotonin. Moreover, the obtained LOD using our method is comparable to the LOD of current common‐practice methods for serotonin detection [47] . The HMN‐GO.Serotonin.aptamer also was highly selective towards detecting serotonin (Figure 2F, Inset).…”
Section: Resultssupporting
confidence: 57%
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“…Our HMN‐GO.Serotonin.aptamer could accurately identify serotonin levels from 0.5–4 μM with a LOD of 0.1 μM (Figure 2F); offering an effective solution for POCT of serotonin. Moreover, the obtained LOD using our method is comparable to the LOD of current common‐practice methods for serotonin detection [47] . The HMN‐GO.Serotonin.aptamer also was highly selective towards detecting serotonin (Figure 2F, Inset).…”
Section: Resultssupporting
confidence: 57%
“…Serotonin exists in the biological range of 0.5–1.6 μM, while higher concentrations require further clinical investigation [29–31, 46] . Conventional techniques for serotonin detection mainly rely on liquid chromatography‐electrochemical detection (HPLC‐ECD), which is cumbersome and requires extensive sample pre‐treatment [47, 48] . Our HMN‐GO.Serotonin.aptamer could accurately identify serotonin levels from 0.5–4 μM with a LOD of 0.1 μM (Figure 2F); offering an effective solution for POCT of serotonin.…”
Section: Resultsmentioning
confidence: 99%
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“…Detection of biomarkers, which express at low concentration, is a determining factor in chronic inflammatory diseases to understand the biomolecular process of inflammation, diagnosis, prognosis, and selecting an adequate therapy. Typically, chronic inflammatory disease biomarkers are performed by conventional methods, such as enzyme-linked immunosorbent assay (ELISA) [9], high-performance liquid chromatography (HPLC) [10], polymerase chain reaction (PCR) [11], DNA sequencing technology [12], medical imaging [13], or engineered probiotic microorganisms [14]. These methods can provide very-high sensitivity and specificity, but they involve expensive and bulky instruments and complicated time-consuming operations, which limit their implementation in clinics and for practical use to the patient; therefore, it is highly desirable to develop new POC technologies for identification [1,2], with the ability to be sensitive, simple, cost effective, portable, and easy to use, which could detect infectious diseases and monitor health conditions.…”
Section: Introductionmentioning
confidence: 99%