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Optimization of sample preparation procedure for the determination of metals in synthetic organic pigments using atomic absorption spectrometry method

Autoři: Šídová Tereza | Husáková Lenka | Musilová Lenka | Vyňuchal Jan | Lišková Vlasta

Rok: 2018

Druh publikace: ostatní - článek ve sborníku

Název zdroje: 16th Czech – Slovak Spectroscopic Conference : proceedings

Název nakladatele: Spektroskopická společnost Jana Marca Marci

Místo vydání: Praha

Strana od-do: 118

Tituly:

Jazyk	Název	Abstrakt	Klíčová slova
eng	Optimization of sample preparation procedure for the determination of metals in synthetic organic pigments using atomic absorption spectrometry method	Accurate and precise analysis of metals content is the key component to quality control in manufacturing and processing of synthetic organic pigments. In this work a simple and novel approach is described allowing to facilitate the step for sample preparation, which is the most time-consuming and error-prone step of the whole procedure of complex sample analysis. Number of analytical reagents such as HNO3, H2SO4, HCl, NH4F, H3PO4, H2O2, etc. and their combinations were investigated for hot-plate digestion of various organic pigments. Mixture of H3PO4 and H2SO4 with subsequent addition of H2O2 was found to be the most efficient for this purpose. The digestion efficiency was evaluated on the basis of the determination of residual carbon content (RCC) by inductively coupled plasma optical emission spectrometry (ICP-OES). Fractional factorial design was employed to study the effects of sample mass, volume of analytical reagents and heating time onto digestion efficiency and for sample preparation optimization. Under the optimized digestion conditions the proposed method was successfully utilized for the determination of Fe, Ni and Cr in different samples (PR 255, PY 150, PY 192 and PO 68) by flame atomic absorption spectrometry (FAAS) and satisfactory results were obtained.	Synthetic organic pigments; Trace Element Analysis; Atomic absorption spectrometry; Optimization of sample preparation

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