Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Atomic Absorption Spectroscopy: Interference01:25

Atomic Absorption Spectroscopy: Interference

1.9K
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,...
1.9K
Atomic Emission Spectroscopy: Interference01:30

Atomic Emission Spectroscopy: Interference

561
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,...
561
¹H NMR: Interpreting Distorted and Overlapping Signals01:02

¹H NMR: Interpreting Distorted and Overlapping Signals

1.4K
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.
As Δν decreases and the signals move closer, the doublets appear increasingly distorted. The intensities of the inner lines increase at the cost of those of the outer lines as the signals are...
1.4K
NMR Spectroscopy: Chemical Shift Overview01:15

NMR Spectroscopy: Chemical Shift Overview

3.0K
The position of the absorption signal of a sample is reported relative to the position of the signal of tetramethylsilane (TMS), which is added as an internal reference while recording spectra. The difference between the absorption frequencies of the sample and TMS (in Hz) is divided by the spectrometer operating frequency (in MHz) to obtain a dimensionless quantity called the chemical shift. It is reported on the δ (delta) scale and expressed in parts per million.
For instance, the proton...
3.0K
Inductively Coupled Plasma-Mass Spectrometry (ICP-MS): Interferences01:20

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

1.2K
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...
1.2K
¹³C NMR: ¹H–¹³C Decoupling01:04

¹³C NMR: ¹H–¹³C Decoupling

1.6K
The probability of having two carbon-13 atoms next to each other is negligible because of the low natural abundance of carbon-13. Consequently, peak splitting due to carbon-carbon spin-spin coupling is not observed in spectra. However, protons up to three sigma bonds away split the carbon signal according to the n+1 rule, resulting in complicated spectra.
A broadband decoupling technique is used to simplify these complex, sometimes overlapping, signals. Broadband decoupling relies on a...
1.6K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Deciphering Flavor Signatures of Early-Maturing Table Grapes: A Synergistic Multi-Sensor Approach Using E-Nose, GC-MS, and GC-IMS.

Foods (Basel, Switzerland)·2026
Same author

Hemoglobin-albumin-lymphocyte-platelet score and early neurological deterioration in acute ischemic stroke: a single-center retrospective cohort study.

Frontiers in neurology·2026
Same author

Prevalence of Loneliness and Social Isolation Among People Living With HIV: A Systematic Review and Meta-Analysis.

Journal of clinical nursing·2026
Same author

Stage-Specific H3K14 and H3K23 Succinylation Orchestrates Insect Metamorphosis and Oogenesis.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2026
Same author

Transcriptome analysis reveals heat stress-responsive genes in octoploid strawberry seedlings and expression pattern analysis of <i>FaHSF</i> gene family under heat stress.

PeerJ·2026
Same author

The value of LINC00494 aberrant expression in the diagnosis and promotion of fracture healing in patients with osteoporotic fractures.

Biochemical and biophysical research communications·2026

Related Experiment Video

Updated: Jan 4, 2026

Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles
11:54

Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles

Published on: March 13, 2017

9.7K

A Novel Subspace Alignment-Based Interference Suppression Method for the Transfer Caused by Different Sample Carriers

Zhifang Liang1, Fengchun Tian2, Ci Zhang2

  • 1School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongwen Road 2nd, Nan'an District, Chongqing 400065, China.

Sensors (Basel, Switzerland)
|November 10, 2019
PubMed
Summary

A novel subspace alignment-based interference suppression (SAIS) method improves medical electronic nose (e-nose) accuracy for wound infection detection. This technique addresses interference from different sample carriers, significantly boosting recognition rates in clinical applications.

Keywords:
electronic noseinterference suppressionsubspace alignmenttransfer

More Related Videos

Frequency Mixing Magnetic Detection Scanner for Imaging Magnetic Particles in Planar Samples
07:01

Frequency Mixing Magnetic Detection Scanner for Imaging Magnetic Particles in Planar Samples

Published on: June 9, 2016

9.9K
Electroantennography-based Bio-hybrid Odor-detecting Drone using Silkmoth Antennae for Odor Source Localization
06:00

Electroantennography-based Bio-hybrid Odor-detecting Drone using Silkmoth Antennae for Odor Source Localization

Published on: August 27, 2021

5.9K

Related Experiment Videos

Last Updated: Jan 4, 2026

Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles
11:54

Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles

Published on: March 13, 2017

9.7K
Frequency Mixing Magnetic Detection Scanner for Imaging Magnetic Particles in Planar Samples
07:01

Frequency Mixing Magnetic Detection Scanner for Imaging Magnetic Particles in Planar Samples

Published on: June 9, 2016

9.9K
Electroantennography-based Bio-hybrid Odor-detecting Drone using Silkmoth Antennae for Odor Source Localization
06:00

Electroantennography-based Bio-hybrid Odor-detecting Drone using Silkmoth Antennae for Odor Source Localization

Published on: August 27, 2021

5.9K

Area of Science:

  • Biomedical Engineering
  • Sensor Technology
  • Computational Biology

Background:

  • Medical electronic noses (e-noses) show promise for wound infection detection by analyzing bacterial metabolites.
  • A significant challenge is the dramatic drop in prediction accuracy when models trained on lab data are applied to human clinical samples due to "transfer caused by different sample carriers".

Purpose of the Study:

  • To propose and evaluate a novel subspace alignment-based interference suppression (SAIS) method to address the sample carrier interference problem in medical e-nose applications.
  • To enhance the recognition accuracy of human wound infection detection using e-nose technology.

Main Methods:

  • Development of a subspace alignment-based interference suppression (SAIS) method incorporating domain correction.
  • The SAIS method involves extracting subspaces from different data domains and aligning them to mitigate distribution differences.
  • Experimental validation using infected rat samples to assess the method's effectiveness compared to no interference suppression.

Main Results:

  • The SAIS method significantly improved the recognition accuracy for infected rat samples.
  • Accuracy increased from 29.18% without interference suppression to 82.55% with SAIS.
  • Demonstrated the capability of SAIS to suppress interference arising from different sample carriers.

Conclusions:

  • The proposed SAIS method is effective in overcoming the "transfer caused by different sample carriers" interference in medical e-nose systems.
  • SAIS technology offers a promising solution for improving the reliability and accuracy of e-nose-based wound infection detection in clinical settings.