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Details

Autor(en) / Beteiligte
Titel
Miniaturized sample preparation techniques and ambient mass spectrometry as approaches for food residue analysis
Ist Teil von
  • Journal of Chromatography A, 2021-03, Vol.1640, p.461949, Article 461949
Ort / Verlag
Netherlands: Elsevier B.V
Erscheinungsjahr
2021
Link zum Volltext
Quelle
Access via ScienceDirect (Elsevier)
Beschreibungen/Notizen
  • •Miniaturized systems are applied for the identification of trace amounts in food.•Miniaturized techniques cover the green chemistry concepts.•Ambient mass spectrometry offers a rapid and easy analysis for food residues.•Ambient mass spectrometry is a useful tool for screening and qualitative analysis. Analytical methods such as liquid chromatography (LC) and mass spectrometry (MS) are widely used techniques for the analyses of different classes of compounds. This is due to their highlighted capacity for separating and identifying components in complex matrices such food samples. However, in most cases, effective analysis of the target analyte becomes challenging due to the complexity of the sample, especially for quantification of trace concentrations. In this case, miniaturized sample preparation methods have been used as a strategy for analysis of complex matrices. This involves removing the interferents and concentrating the analytes in a sample. These methods combine simplicity and effectiveness and given their miniaturized scale, they are in accordance with green chemistry precepts. Besides, ambient mass spectrometry represents a new trend in fast and rapid analyses, especially for qualitative and screening analysis. However, for complex matrix analyses, sample preparation is still a difficult step and the miniaturized sample preparation techniques show great potential for an improved and widespread use of ambient mass spectrometry techniques. . This review aims to contribute as an overview of current miniaturized sample preparation techniques and ambient mass spectrometry methods as different approaches for selective and sensitive analysis of residues in food samples.
Sprache
Englisch
Identifikatoren
ISSN: 0021-9673
eISSN: 1873-3778
DOI: 10.1016/j.chroma.2021.461949
Titel-ID: cdi_crossref_primary_10_1016_j_chroma_2021_461949

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