Literature DB >> 19071371

Determination of Cu and Ni in plants by microdialysis sampling: Comparison of dialyzable metal fractions with total metal content.

Kabo Mosetlha1, Nelson Torto, Grethe Wibetoe.   

Abstract

Microdialysis sampling is presented as an in situ sampling and sample clean-up technique with the potential to be used for determination of metals in plant suspension. Suspensions prepared from ultra pure water and flowers of a Blepharis aspera plant species obtained from a Cu and Ni mineralized site were sampled for Cu and Ni by microdialysis sampling after incorporating an optimal 0.05% (w/v) composition of humic acid in the perfusion liquid. Acid digestion of the plant samples was employed for quantification of Cu and Ni by flame atomic absorption spectrometry. All microdialysis sampling experiments were carried out at room temperature under quiescent conditions using a concentric type of microdialysis probe and electrothermal atomic absorption spectrometry was employed for metal quantification. The versatility of microdialysis as an in situ sampling and sample clean-up technique was demonstrated by the ability to sample Cu and Ni from the complex matrices of plant suspensions. Linear relations between the concentrations of Cu and Ni determined after microdialysis sampling and acid digestion were established and the constant concentration ratios of the metals were found to be 0.0138 and 0.0440 respectively for Cu and Ni thus demonstrating the potential that microdialysis sampling has in prediction of metal concentrations in plant suspension after direct relation with the acid digestion method.

Entities:  

Year:  2006        PMID: 19071371     DOI: 10.1016/j.talanta.2006.05.020

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


  1 in total

1.  Quantifying citrate-enhanced phosphate root uptake using microdialysis.

Authors:  D M McKay Fletcher; R Shaw; A R Sánchez-Rodríguez; K R Daly; A van Veelen; D L Jones; T Roose
Journal:  Plant Soil       Date:  2019-12-05       Impact factor: 4.192

  1 in total

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