Abstract
An optimal signal acquisition and processing method for use with intermittent small-sized sample introduction techniques, such as the micro-droplet injection system (M-DIS), was investigated.
Highlights
In recent years, high-sensitivity and multi-elemental analytical methods that use inductively coupled plasma (ICP), such as ICP atomic emission spectrometry (ICP-AES) and ICP mass spectrometry (ICP-MS), have been used for trace elemental analysis.[1,2] In analytical devices that use ICP, the technique used to introduce the sample into the plasma is important, because the analytical sensitivity is strongly affected by the efficiency of the sample excitation and ion generation processes.[1]
The effects of the signal detection and signal processing methods on the signal-to-noise ratios (SNRs) were evaluated using a model signal that was formed from analytical results produced by micro-droplet injection system (M-DIS)-ICP-MS for a droplet sample, where the model signal represents a signal obtained when using the intermittent sample introduction process
A Gaussian-shaped signal with the same full width at half maximum (FWHM) of 212.3 ms as the signal shown in Fig. 2a was developed for use in the discussion section of this paper as a model transient signal
Summary
High-sensitivity and multi-elemental analytical methods that use inductively coupled plasma (ICP), such as ICP atomic emission spectrometry (ICP-AES) and ICP mass spectrometry (ICP-MS), have been used for trace elemental analysis.[1,2] In analytical devices that use ICP, the technique used to introduce the sample into the plasma is important, because the analytical sensitivity is strongly affected by the efficiency of the sample excitation and ion generation processes.[1]. The effects of the signal detection and signal processing methods on the SNR were evaluated using a model signal that was formed from analytical results produced by M-DIS-ICP-MS for a droplet sample, where the model signal represents a signal obtained when using the intermittent sample introduction process.
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