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

Sleep Apnea01:21

Sleep Apnea

Sleep apnea is a condition where breathing stops intermittently during sleep, often leading to significant health issues. Each episode can last from 10 to 20 seconds or more and is frequently accompanied by a brief arousal from sleep. This disturbance, largely unnoticed by the individual, can lead to severe daytime fatigue. Commonly, individuals seek help after being informed by their partners about loud snoring and noticeable breathing pauses during sleep.
The condition is more prevalent among...
Cardiopulmonary Resuscitation II: ACLS Airway Management01:22

Cardiopulmonary Resuscitation II: ACLS Airway Management

Airway management is a key skill in emergency and critical care settings, as maintaining a clear airway is essential for adequate oxygenation and ventilation.Head Tilt-Chin Lift TechniqueThe head tilt-chin lift maneuver is an essential technique primarily used in patients without suspected cervical spine injuries. To perform this maneuver, one hand is placed on the patient’s forehead, and gentle pressure is applied backward to tilt the head. The fingertips of the other hand are positioned under...

You might also read

Related Articles

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

Sort by
Same author

Wheat Flour Discrimination Using Two-Dimensional Correlation Spectroscopy and Deep Learning.

Applied spectroscopy·2024
Same author

[Study of electroreflectance spectrum and Franz-Keldysh effect at metal-GaAs interfaces].

Guang pu xue yu guang pu fen xi = Guang pu·2008
Same author

[Study on electro-degradation of new conjugated polymer PFO-BT15 light emitting diodes].

Guang pu xue yu guang pu fen xi = Guang pu·2008
Same author

Comparison of the curative effects of video assisted thoracoscopic anterior correction and small incision, thoracotomic anterior correction for idiopathic thoracic scoliosis.

Chinese medical journal·2008
Same author

Distribution and sources of mercury in soils from former industrialized urban areas of Beijing, China.

Environmental monitoring and assessment·2008
Same author

[Main flavonoids from Sophora flavescenes].

Yao xue xue bao = Acta pharmaceutica Sinica·2008

Related Experiment Video

Updated: Jun 8, 2026

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
03:31

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Published on: December 15, 2023

1.3K

Dual-Branch Multiscale Attention Network (DMANet): Integrating Dynamic Two-Dimensional Correlation Spectroscopy Using

Mingyue Huang1, Hailong Feng1, Jing Liang1

  • 1Nankai University, College of Artificial Intelligence, No. 94 Weijin Road, Nankai District, Tianjin, Tianjin 300350, China.

Applied Spectroscopy
|May 6, 2026
PubMed
Summary

This study introduces a novel method using near-infrared two-dimensional correlation spectroscopy (2D-COS) and a dual-branch attention network to accurately detect low-level duck meat in beef. The advanced technique significantly improves accuracy for detecting subtle adulteration.

Keywords:
Near infrared spectrummeatmultiscaleneural networkqualitative analysis

Related Experiment Videos

Last Updated: Jun 8, 2026

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
03:31

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Published on: December 15, 2023

1.3K

Area of Science:

  • Food Science
  • Analytical Chemistry
  • Spectroscopy

Background:

  • Detecting low-level meat adulteration is crucial for food safety and authenticity.
  • Traditional methods struggle with identifying trace contaminants in complex food matrices.
  • Near-infrared (NIR) spectroscopy offers a non-destructive approach but requires advanced data analysis for subtle variations.

Purpose of the Study:

  • To develop a highly sensitive method for semi-quantitative prediction of duck meat content in beef.
  • To enhance the detection capabilities for low-level adulteration (0.5-5%).
  • To leverage advanced spectroscopic and machine learning techniques for improved food analysis.

Main Methods:

  • Utilized near-infrared (NIR) two-dimensional correlation spectroscopy (2D-COS) to expand 1D spectra into synchronous and asynchronous maps.
  • Developed a dual-branch multiscale attention network (DMANet) for feature extraction and fusion.
  • Employed an adaptive attention mechanism to dynamically integrate spectral information from both modalities.

Main Results:

  • The proposed DMANet model achieved 100% overall accuracy on the test set.
  • Significantly outperformed traditional Partial Least Squares (PLS) models and single-input spectral models.
  • Demonstrated substantial accuracy improvements (31.3%, 12.5%, 18.7%) in the critical 0.5-5% adulteration range.

Conclusions:

  • 2D-COS combined with DMANet offers superior performance for detecting low-level meat adulteration compared to 1D spectral methods.
  • The technique effectively amplifies subtle spectral responses, enhancing the detection of trace contaminants.
  • This approach provides a robust and accurate solution for ensuring meat product authenticity and safety.