2021
DOI: 10.1134/s1061934821020143
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Plant-Matrix Certified Reference Materials as a Tool for Ensuring the Uniformity of Chemical Measurements

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Cited by 13 publications
(1 citation statement)
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“…Numerous analytical techniques, including fame atomic absorption spectrometry (FAAS), X-ray fuorescence spectrometry (XRF), graphite furnace atomic absorption spectrometry (GFAAS), inductively coupled plasma mass spectrometry (ICP-MS), and atomic fuorescence spectrometry (AFS), have been used to quantify elements in diferent matrices [24]. In the analysis of plant seeds, roots, leaves, and vegetables, spectrometric techniques such as atomic absorption spectrometry (AAS), microwave plasma atomic emission spectroscopy (MP-AES), inductively coupled plasma optical emission spectrometry (ICP-OES), and inductively coupled plasma mass spectrometry (ICP-MS) are commonly used [25][26][27]. Compared to AAS and AES, MP-AES is more sensitive for the rapid and simultaneous determination of essential and nonessential elements at trace or ultratrace levels in complex samples [28].…”
Section: Introductionmentioning
confidence: 99%
“…Numerous analytical techniques, including fame atomic absorption spectrometry (FAAS), X-ray fuorescence spectrometry (XRF), graphite furnace atomic absorption spectrometry (GFAAS), inductively coupled plasma mass spectrometry (ICP-MS), and atomic fuorescence spectrometry (AFS), have been used to quantify elements in diferent matrices [24]. In the analysis of plant seeds, roots, leaves, and vegetables, spectrometric techniques such as atomic absorption spectrometry (AAS), microwave plasma atomic emission spectroscopy (MP-AES), inductively coupled plasma optical emission spectrometry (ICP-OES), and inductively coupled plasma mass spectrometry (ICP-MS) are commonly used [25][26][27]. Compared to AAS and AES, MP-AES is more sensitive for the rapid and simultaneous determination of essential and nonessential elements at trace or ultratrace levels in complex samples [28].…”
Section: Introductionmentioning
confidence: 99%