Literature DB >> 30952250

Discrete sampling based-flow injection as an introduction system in ICP-MS for the direct analysis of low volume human serum samples.

María Pilar Chantada-Vázquez1, Paloma Herbello-Hermelo1, Pilar Bermejo-Barrera1, Antonio Moreda-Piñeiro2.   

Abstract

Discrete sampling based on the flow injection options offered by advanced autosamplers has been tested and applied for the direct analysis of low volume samples (human serum) for multi-elemental purposes (simultaneous Al, Be, Ca, Cd, Co, Cr, Cu, Fe, K, Li, Mg, Mn, Mo, Ni, Pb, Rb, Se, V, and Zn assessment). Serum samples (200 µL aliquots) were directly diluted to 2.0 mL with 1% (v/v) HNO3, and discrete sampling operating conditions were optimized to allow cleaning, loading (300 µL injection loop), and measuring steps by using a volume lower than 2.0 mL (diluted serum sample). Matrix effect has been overcome by using the standard addition technique, and accurate results implied the use of kinetic energy discrimination (KED) mode (He as a collision gas) for measurements. The proposed method has been found to be reliable for serum samples analysis because of the low sample volume requirements, the minimal sample preparation required, and high sampling rate (each replicate analysis takes 2.50 min). In addition, validation results show good precision and accuracy (both analytical recovery and analysis of certified reference materials), and acceptable sensitivity. Applicability of the proposed method has been finally demonstrated by analysing several serum samples from healthy adults.
Copyright © 2019 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Discrete sampling; Human serum; Inductively coupled plasma mass spectrometry; Trace elements

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Year:  2019        PMID: 30952250     DOI: 10.1016/j.talanta.2019.02.050

Source DB:  PubMed          Journal:  Talanta        ISSN: 0039-9140            Impact factor:   6.057


  1 in total

1.  Toxicological Risks of Renqingchangjue in Rats Evaluated by 1H NMR-Based Serum and Urine Metabolomics Analysis.

Authors:  Xia Wang; Caidan Rezeng; Yingfeng Wang; Jian Li; Lan Zhang; Jianxin Chen; Zhongfeng Li
Journal:  ACS Omega       Date:  2020-01-28
  1 in total

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