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

Classification of Signals01:30

Classification of Signals

1.4K
In signal processing, signals are classified based on various characteristics: continuous-time versus discrete-time, periodic versus aperiodic, analog versus digital, and causal versus noncausal. Each category highlights distinct properties crucial for understanding and manipulating signals.
A continuous-time signal holds a value at every instant in time, representing information seamlessly. In contrast, a discrete-time signal holds values only at specific moments, often denoted as x(n), where...
1.4K
The Z-Scheme of Electron Transport in Photosynthesis01:34

The Z-Scheme of Electron Transport in Photosynthesis

13.9K
The light reactions of photosynthesis assume a linear flow of electrons from water to NADP+. During this process, light energy drives the splitting of water molecules to produce oxygen. However, oxidation of water molecules is a thermodynamically unfavorable reaction and requires a strong oxidizing agent. This is accomplished by the first product of light reactions: oxidized P680 (or P680+), the most powerful oxidizing agent known in biology. The oxidized P680 that acquires an electron from the...
13.9K
Generalized Anxiety Disorder01:30

Generalized Anxiety Disorder

752
Generalized Anxiety Disorder (GAD) is a chronic condition characterized by excessive and uncontrollable worry that persists for at least six months, significantly interfering with daily functioning. Unlike situational anxiety, which arises in response to specific stressors, GAD often occurs without a clear cause. Individuals may experience disproportionate worry about work, health, or relationships. For instance, a person might continuously fear poor health despite normal medical evaluations or...
752
Generalized Hooke's Law01:22

Generalized Hooke's Law

2.8K
The generalized Hooke's Law is a broadened version of Hooke's Law, which extends to all types of stress and in every direction. Consider an isotropic material shaped into a cube subjected to multiaxial loading. In this scenario, normal stresses are exerted along the three coordinate axes. As a result of these stresses, the cubic shape deforms into a rectangular parallelepiped. Despite this deformation, the new shape maintains equal sides, and there is a normal strain in the direction of the...
2.8K
Social Foundations of Self II: The Generalized Other01:20

Social Foundations of Self II: The Generalized Other

270
According to George Herbert Mead, as children progress beyond the game stage, they develop a more comprehensive understanding of societal rules and norms. This cognitive and social development enables them to internalize the expectations of the broader community, refining their ability to regulate behavior.Consistent participation in organized activities is crucial in helping children recognize that their actions are not isolated but contribute to a more significant, interconnected group...
270
Generalization, Discrimination, and Extinction01:24

Generalization, Discrimination, and Extinction

1.5K
Generalization, discrimination, and extinction are key concepts in operant conditioning that influence how behaviors are learned and maintained.
Generalization occurs when a behavior reinforced in one context is performed in similar situations. For instance, a student who studies diligently for calculus and receives excellent grades might apply the same study habits to psychology and history, expecting similar results. Generalization shows how learning in one setting can influence behavior in...
1.5K

You might also read

Related Articles

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

Sort by
Same author

Beyond wingtips: backbone alkylation affects the orientation of N-heterocyclic carbenes on gold nanoparticles.

Chemical science·2026
Same author

Capture and Detection of Fentanyl with Thiolated Cucurbit[7]uril Macrocycles on Silver Nanoparticles.

ACS applied nano materials·2026
Same author

When gold and silver differ: interactions of N-heterocyclic carbenes with noble metal surfaces.

Chemical communications (Cambridge, England)·2026
Same author

Valency-Conserved Doping in Infrared Plasmonic Nanocrystals for Supersonic Shock-Resistant Multi-Level Cell Modulation.

ACS applied materials & interfaces·2025
Same author

Beyond Accelerator Mass Spectrometry: Recent Developments in All-Optical Measurements of Radioisotope Carbon.

ACS omega·2025
Same author

Using LDI-MS to Explore Amide Coupling Reactions with Carboxylate Terminated N-Heterocyclic Carbene Monolayers.

Journal of the American Society for Mass Spectrometry·2025

Related Experiment Video

Updated: Feb 13, 2026

Flying Insect Detection and Classification with Inexpensive Sensors
05:16

Flying Insect Detection and Classification with Inexpensive Sensors

Published on: October 15, 2014

25.8K

SERS Sensors: Recent Developments and a Generalized Classification Scheme Based on the Signal Origin.

Xin Gu1, Michael J Trujillo1, Jacob E Olson1

  • 1Department of Chemistry and Biochemistry, University of Notre Dame, Notre Dame, Indiana 46556, USA;

Annual Review of Analytical Chemistry (Palo Alto, Calif.)
|March 17, 2018
PubMed
Summary

Surface-enhanced Raman spectroscopy (SERS) offers sensitive analyte detection. This review classifies SERS sensors into three strategies: surface-affinity, SERS-tag, and probe-mediated, aiding new device design.

Keywords:
PMSSASSERSSERS-tag strategySTSnanoparticlesprobe-mediated strategysensorssurface-affinity strategysurface-enhanced Raman spectroscopy

More Related Videos

Asthma Detection Research Based on Voice Signal Processing and Machine Learning
04:04

Asthma Detection Research Based on Voice Signal Processing and Machine Learning

Published on: July 22, 2025

1.0K
Machine Learning-Based Cough Tone Classification: Diagnostic Exploration of Chronic Obstructive Pulmonary Disease and Respiratory Tract Infections
06:22

Machine Learning-Based Cough Tone Classification: Diagnostic Exploration of Chronic Obstructive Pulmonary Disease and Respiratory Tract Infections

Published on: September 19, 2025

534

Related Experiment Videos

Last Updated: Feb 13, 2026

Flying Insect Detection and Classification with Inexpensive Sensors
05:16

Flying Insect Detection and Classification with Inexpensive Sensors

Published on: October 15, 2014

25.8K
Asthma Detection Research Based on Voice Signal Processing and Machine Learning
04:04

Asthma Detection Research Based on Voice Signal Processing and Machine Learning

Published on: July 22, 2025

1.0K
Machine Learning-Based Cough Tone Classification: Diagnostic Exploration of Chronic Obstructive Pulmonary Disease and Respiratory Tract Infections
06:22

Machine Learning-Based Cough Tone Classification: Diagnostic Exploration of Chronic Obstructive Pulmonary Disease and Respiratory Tract Infections

Published on: September 19, 2025

534

Area of Science:

  • Analytical Chemistry
  • Spectroscopy
  • Nanotechnology

Background:

  • Surface-enhanced Raman spectroscopy (SERS) is a highly sensitive technique for analyte detection.
  • The proliferation of SERS-based sensors necessitates a classification framework.
  • Existing SERS methods lack a standardized categorization system.

Purpose of the Study:

  • To propose a classification framework for SERS-based sensors.
  • To guide the development of new SERS sensor techniques.
  • To provide a tutorial for classifying and designing SERS sensors.

Main Methods:

  • Classification of SERS sensors based on signal origin.
  • Discussion of general SERS modalities.
  • Analysis of three major SERS sensor categories: surface-affinity, SERS-tag, and probe-mediated strategies.

Main Results:

  • Three primary SERS sensor categories identified: surface-affinity, SERS-tag, and probe-mediated.
  • Detailed explanation of the mechanism of action for each category.
  • Identification of common misconceptions in SERS device construction.

Conclusions:

  • A structured classification of SERS sensors aids in understanding and development.
  • The proposed framework assists researchers in designing practical and effective SERS-based sensors.
  • This review serves as a guide for the practical application and innovation of SERS technology.