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Related Concept Videos

Atomic Absorption Spectroscopy: Interference01:25

Atomic Absorption Spectroscopy: Interference

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.
Spectral interference occurs when signals from other elements or molecules overlap with the analyte signal, falsely elevating or masking the analyte's absorbance. This interference can be corrected using Zeeman,...
NMR Spectrometers: Resolution and Error Correction01:14

NMR Spectrometers: Resolution and Error Correction

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...
Response Surface Methodology01:16

Response Surface Methodology

Response Surface Methodology (RSM) is a collection of statistical and mathematical techniques used to develop, improve, and optimize processes. It is particularly valuable when many input variables or factors potentially influence a response variable.
The process of RSM involves several key steps:
Inductively Coupled Plasma-Mass Spectrometry (ICP-MS): Interferences01:20

Inductively Coupled Plasma-Mass Spectrometry (ICP-MS): Interferences

Inductively coupled plasma–mass spectrometry (ICP–MS) is a highly selective and sensitive technique for accurate elemental analysis. Though the analysis of ICP–MS mass spectra is comparatively straightforward, it is affected by spectroscopic and non-spectroscopic interferences. Spectroscopic interferences arise when the plasma contains ionic species with an m/z value the same as the analyte ion. Spectroscopic interference can be categorized as isobaric, polyatomic ions, and refractory oxide ion...
Atomic Emission Spectroscopy: Interference01:30

Atomic Emission Spectroscopy: Interference

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,...
Interference and Diffraction02:18

Interference and Diffraction

Interference is a characteristic phenomenon exhibited by waves. When two electromagnetic waves interact with their peaks and troughs coinciding, a resulting wave with enhanced amplitude is produced. This is known as constructive interference. In this case, the two waves interacting are in phase with each other.

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Related Experiment Video

Updated: May 11, 2026

Direct Comparison of Hyperspectral Stimulated Raman Scattering and Coherent Anti-Stokes Raman Scattering Microscopy for Chemical Imaging
09:46

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Published on: April 28, 2022

Detection and correction of interference in SRM analysis.

Y Bao1, S Waldemarson, G Zhang

  • 1Laboratory of Computational Proteomics, Center for Health Informatics and Bioinformatics, New York University School of Medicine, New York, NY, USA.

Methods (San Diego, Calif.)
|May 28, 2013
PubMed
Summary
This summary is machine-generated.

Selected Reaction Monitoring (SRM) quantitation can be improved by detecting interference using relative transition intensities. This method enhances accuracy for low-abundance proteins in complex samples, as demonstrated in CPTAC Study 7.

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09:13

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Area of Science:

  • Proteomics
  • Analytical Chemistry
  • Biochemistry

Background:

  • Selected Reaction Monitoring (SRM) is crucial for quantifying low-abundance proteins in complex biological samples.
  • SRM accuracy is threatened by interfering signals with identical precursor and fragment masses.
  • Interference can lead to inaccurate protein quantitation in proteomic studies.

Purpose of the Study:

  • To develop and validate a novel approach for detecting interference in SRM assays.
  • To improve the accuracy of protein quantitation in complex proteomic samples.
  • To introduce an algorithm for automated detection of calibration curve linearity.

Main Methods:

  • Utilizing the expected relative intensities of SRM transitions to identify interference.
  • Developing an algorithm for automatic determination of the linear range in calibration curves.
  • Applying these methods to experimental data from the Clinical Proteomic Tumor Analysis Consortium (CPTAC) Verification Work Group Study 7.

Main Results:

  • The developed approach effectively detects interference in SRM data.
  • The algorithm successfully identifies the linear range of calibration curves.
  • Corrected measurements using these methods demonstrated significantly more accurate protein quantitation compared to uncorrected data.
  • Validation was performed on real-world proteomic data from CPTAC Study 7.

Conclusions:

  • The proposed interference detection method enhances the reliability of SRM quantitation.
  • Automated calibration curve linearity detection improves workflow efficiency and data quality.
  • This approach offers a robust solution for accurate low-abundance protein quantification in complex samples.
  • The findings have significant implications for clinical proteomics and biomarker discovery.