1,720,975 research outputs found
Determination of cadmium and lead in whole and skim milk by stripping chronopotentiometry and comparison of three sample pretreatment procedures
Determination of copper (II) and lead (II) in olive oils by derivative potentiometric stripping analysis
Determination of cadmium and lead in fruit juices by stripping chronopotentiometry and comparison of two sample pre-treatment procedures
Determination of lead (II) and cadmium (II) in hard and soft wheat by derivative potentiometric stripping analysis
Determination of cadmium (II) and lead (II) in whole and skim milk by stripping chronopotentiometric analysis
A method for the determination of cadmium (II) and lead (II) in whole and skim milk
by stripping chronopotentiometric analysis is described. The metal ions were concentrated
as their amalgams on a glassy carbon working electrode that was previously coated with
a thin mercury film and then stripped by a suitable oxidant. Potential and time data were
digitally converted into dt dE-1, and E was plotted vs. dt dE-1, thus increasing both
sensitivity of the method and resolution of the analysis. Quantitative analysis was carried
out by the method of standard additions. A good linearity was obtained in the range of
concentrations examined. Recoveries of 94-100% for cadmium (II) and of 91-98% for
lead (II) were obtained from a sample spiked at different levels. The detection limits were
4.4 ng g-1 for cadmium (II) and 8.6 ng g-1 for lead (II) and the relative standard deviations
(mean of nine determinations) were 4.1 and 5.6%, respectively. Results obtained on
commercial whole and skim milk were not significantly different from those obtained by
inductively coupled plasma atomic emission spectrometry
Determination of lead and cadmium in soft and durum wheat by derivative potentiometric stripping analysis
Determination of total thallium in environmental solid samples by stripping chronopotentiometry
Stripping chronopotentiometric determination of cadmium (II) and lead (II) in equine kidney, bovine and poultry meat
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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