Molecularly imprinted mesoporous silica nanoparticles for specific extraction and efficient identification of Amadori compounds
Autor: | Zhen Liu, Xinpei He, Xianghua Pan |
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Rok vydání: | 2017 |
Předmět: |
Electrospray
Spectrometry Mass Electrospray Ionization Surface Properties Nanoparticle 010402 general chemistry Mass spectrometry 01 natural sciences Biochemistry Analytical Chemistry Molecular Imprinting Amadori rearrangement Environmental Chemistry Particle Size Spectroscopy Chemistry 010401 analytical chemistry Molecularly imprinted polymer Tryptophan Electrophoresis Capillary Tobacco Products Mesoporous silica Silicon Dioxide Combinatorial chemistry Binding constant 0104 chemical sciences Reagent Nanoparticles Porosity |
Zdroj: | Analytica chimica acta. 1019 |
ISSN: | 1873-4324 |
Popis: | Amadori compounds are an important family of chemical species with high values in the quality control and research of food and tobacco products as well as disease diagnosis. Since they are present in a large population with close structure and nature, recognition of specific Amadori compounds from complex sample matrices presents a challenging task. Particularly, few reagents or materials that can recognize specific Amadori compounds have been reported. In this study, we synthesized molecularly imprinted mesoporous silica nanoparticles (MIMSNs) that can highly specifically recognize and efficiently extract an Amadori compound of interest from complex samples. N-(1-deoxy- d -glucose-1-yl)tryptophan (Glc-Trp), a typical Amadori compound, was used as the template and target compound. The prepared MIMSNs exhibited excellent binding properties. The cross-reactivity was only 2.9–4.8% towards interfering analogs. The binding constant and binding capacity towards the target were 66 μM and 45 μmol/g, respectively. The imprinting approach showed outstanding imprinting effect, giving an imprinting factor of 119.4. Through combining MIMSNs-based extraction with electrospray ionization-mass spectrometry (ESI-MS) and capillary electrography (CE), a targeted analysis approach was established and demonstrated to be an efficient platform for identification and determination of Glc-Trp from cigarette sample. |
Databáze: | OpenAIRE |
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