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Related Concept Videos

Atomic Absorption Spectroscopy: Interference01:25

Atomic Absorption Spectroscopy: Interference

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Interference leads to systematic error in atomic absorption (AA) measurements by enhancing or diminishing the analytical signal or the background. These interferences can be grouped into three main categories: spectral interference, chemical interference, and physical interference.
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NMR Spectrometers: Resolution and Error Correction01:14

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When magnetic nuclei in a sample achieve resonance and undergo relaxation, the signal detected in NMR is an approximately exponential free induction decay. Fourier transform of an exponential decay yields a Lorentzian peak in the frequency domain. Lorentzian peaks in an NMR spectrum are defined by their amplitude, full width at half maximum, and position, where the peak width is governed by the spin-spin relaxation time alone. In real experiments, however, the applied magnetic field is rendered...
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Aliasing

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Accurate signal sampling and reconstruction are crucial in various signal-processing applications. A time-domain signal's spectrum can be revealed using its Fourier transform. When this signal is sampled at a specific frequency, it results in multiple scaled replicas of the original spectrum in the frequency domain. The spacing of these replicas is determined by the sampling frequency.
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Inductively Coupled Plasma Atomic Emission Spectroscopy: Instrumentation01:26

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Inductively coupled plasma (ICP) is the common plasma source used in atomic emission spectroscopy (AES), a technique that detects and analyzes various elements in a sample. This method is often called inductively coupled plasma atomic emission spectroscopy (ICP-AES).
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Atomic Emission Spectroscopy: Interference01:30

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In atomic emission spectroscopy (AES), high-temperature atomizers excite a broad range of elements and molecules that generate complex emissions from sources such as oxides, hydroxides, and flame combustion products in the flame or plasma. Several strategies can be employed to minimize spectral interferences caused by overlapping emission lines or bands. These include increasing instrument resolution, choosing alternative emission lines, optimally placing the detector in low-background regions,...
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¹H NMR: Interpreting Distorted and Overlapping Signals01:02

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Spin systems where the difference in chemical shifts of the coupled nuclei is greater than ten times J are called first-order spin systems. These nuclei are weakly coupled, and their chemical shifts and coupling constant can generally be estimated from the well-separated signals in the spectrum.
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Adaptive Kalman Filtering for Compensating External Effects in On-Line Spectroscopic Measurements.

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Summary
This summary is machine-generated.

This study introduces Adaptive Kalman Filters (AKF) and reduced-order AKF (rAKF) to improve real-time spectroscopic sensing accuracy in industrial settings by correcting for environmental disturbances.

Keywords:
Kalman filtersensor calibrationspectroscopy

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Area of Science:

  • Analytical Chemistry
  • Process Engineering
  • Control Systems

Background:

  • Industrial spectroscopic sensing accuracy is compromised by temperature, pressure, and particle size variations.
  • Conventional methods fail to account for these dynamic environmental influences, leading to inaccurate concentration estimates.

Purpose of the Study:

  • To develop an integrated modeling framework for real-time spectroscopic sensing.
  • To introduce Adaptive Kalman Filter (AKF) and reduced-order AKF (rAKF) for correcting measurement distortions.

Main Methods:

  • Developed a discrete-time process model combined with a physics-based spectroscopic sensor model.
  • Applied AKF utilizing real-time observability analysis to adapt to changing conditions.
  • Introduced rAKF for scenarios with limited observability, optimizing computational efficiency.

Main Results:

  • AKF and rAKF demonstrated superior performance over conventional methods like the Extended Kalman Filter.
  • The filters effectively corrected for measurement distortions caused by external factors.
  • Simulations confirmed robustness against noise and variations in initial parameters.

Conclusions:

  • The proposed AKF and rAKF enhance the reliability of spectroscopic sensor measurements.
  • These methods enable more precise real-time concentration estimations for industrial monitoring and control.