Uncertainty of dead time estimation in ICP-MS

2003 ◽  
Vol 18 (5) ◽  
pp. 508-511 ◽  
Author(s):  
J. Moser ◽  
W. Wegscheider ◽  
T. Meisel
Keyword(s):  
Dead Time ◽  
Time Estimation ◽  
Icp Ms

Single Particle Inductively Coupled Plasma Mass Spectrometry: Investigating Nonlinear Response Observed in Pulse Counting Mode and Extending the Linear Dynamic Range by Compensating for Dead Time Related Count Losses on a Microsecond Timescale

2019 ◽  
Author(s):  
Ingo Strenge ◽  
Carsten Engelhard
Keyword(s):  
Mass Spectrometry ◽  
Inductively Coupled Plasma ◽  
Nonlinear Response ◽  
Dynamic Range ◽  
Dead Time ◽  
Inorganic Nanoparticles ◽  
Linear Dynamic Range ◽  
Inductively Coupled ◽  
Icp Ms ◽  
Plasma Mass Spectrometry

<p>The article demonstrates the importance of using a suitable approach to compensate for dead time relate count losses (a certain measurement artefact) whenever short, but potentially strong transient signals are to be analysed using inductively coupled plasma mass spectrometry (ICP-MS). Findings strongly support the theory that inadequate time resolution, and therefore insufficient compensation for these count losses, is one of the main reasons for size underestimation observed when analysing inorganic nanoparticles using ICP-MS, a topic still controversially discussed.</p>

scholarly journals Single Particle Inductively Coupled Plasma Mass Spectrometry: Investigating Nonlinear Response Observed in Pulse Counting Mode and Extending the Linear Dynamic Range by Compensating for Dead Time Related Count Losses on a Microsecond Timescale

2019 ◽  
Author(s):  
Ingo Strenge ◽  
Carsten Engelhard
Keyword(s):  
Mass Spectrometry ◽  
Inductively Coupled Plasma ◽  
Nonlinear Response ◽  
Dynamic Range ◽  
Dead Time ◽  
Inorganic Nanoparticles ◽  
Linear Dynamic Range ◽  
Inductively Coupled ◽  
Icp Ms ◽  
Plasma Mass Spectrometry

<p>The article demonstrates the importance of using a suitable approach to compensate for dead time relate count losses (a certain measurement artefact) whenever short, but potentially strong transient signals are to be analysed using inductively coupled plasma mass spectrometry (ICP-MS). Findings strongly support the theory that inadequate time resolution, and therefore insufficient compensation for these count losses, is one of the main reasons for size underestimation observed when analysing inorganic nanoparticles using ICP-MS, a topic still controversially discussed.</p>

scholarly journals The Dead Time Characterization Method of Quartz Flexure Accelerometers Using Monotonicity Number

Sensors ◽  
2019 ◽  
Vol 19 (14) ◽  
pp. 3123
Author(s):  
Bin Wu ◽  
Lingyun Ye ◽  
Tiantian Huang ◽  
Zhaowei Yang ◽  
Kaichen Song
Keyword(s):  
Transfer Function ◽  
Dead Time ◽  
Time Estimation ◽  
Open Loop ◽  
Experimental Result ◽  
Time Analysis ◽  
Loop Transfer Function ◽  
The Dead ◽  
Quartz Flexure Accelerometer ◽  
Least Mean Squares Algorithm

Dead time estimation is important in the design process of quartz flexure accelerometers. However, to the authors’ knowledge, the dead time existing in quartz flexure accelerometers is not well investigated in conventional identification studies. In this paper, the dead time, together with the open-loop transfer function of quartz flexure accelerometers, is identified from step excitation experiments using two steps. Firstly, a monotonicity number was proposed to estimate the dead time. Analysis showed that the monotonicity number was robust enough to measurement noise and sensitive to step excitation. Secondly, parameters of the open-loop transfer function were identified using the least mean squares algorithm. A simulation example was applied to demonstrate the validity of the proposed method. The verified method was used to test a quartz flexure accelerometer. The experimental result shows that the dead time was 500 μs.

ADAPTIVE DEAD-TIME ESTIMATION

1987 ◽  
pp. 385-389 ◽  
Author(s):  
R.M.C. De Keyser
Keyword(s):  
Dead Time ◽  
Time Estimation

Alternating iterative regression method for dead time estimation from experimental designs

2009 ◽  
Vol 394 (2) ◽  
pp. 625-636 ◽  
Author(s):  
S. Pous-Torres ◽  
J. R. Torres-Lapasió ◽  
J. J. Baeza-Baeza ◽  
M. C. García-Álvarez-Coque
Keyword(s):  
Dead Time ◽  
Time Estimation ◽  
Regression Method ◽  
Experimental Designs

Evaluation of detector dead time calculation models for ICP-MS

2001 ◽  
Vol 16 (4) ◽  
pp. 333-338 ◽  
Author(s):  
Simon M. Nelms ◽  
Christophe R. Quétel ◽  
Thomas Prohaska ◽  
Jochen Vogl ◽  
Philip D. P. Taylor
Keyword(s):  
Dead Time ◽  
Icp Ms ◽  
Time Calculation ◽  
Calculation Models

A Knowledge-based approach to dead-time estimation for process control

1995 ◽  
Vol 61 (5) ◽  
pp. 1045-1072 ◽  
Author(s):  
T. H. LEE ◽  
Q. G. WANG ◽  
K. K. TAN ◽  
S. NUNGAM
Keyword(s):  
Process Control ◽  
Dead Time ◽  
Time Estimation ◽  
Knowledge Based
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