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

Distillation: Vapor–Liquid Equilibria01:01

Distillation: Vapor–Liquid Equilibria

2.7K
Distillation is a separation technique that takes advantage of the boiling point properties of disparate elements in a mixture. To perform distillation, we begin by heating a miscible mixture of two liquids with a significant difference in boiling points (at least 20°C). As the solution heats up and reaches the bubble point of the more volatile component, some molecules of the more volatile component transition into the gas phase and travel upward into the condenser, which is a glass tube...
2.7K
High-Performance Liquid Chromatography: Elution Process01:05

High-Performance Liquid Chromatography: Elution Process

428
In High-Performance Liquid Chromatography (HPLC), the elution process is critical to the separation of analytes and the quality of chromatographic results. Elution describes how compounds move through the column and separate based on their interactions with the mobile and stationary phases. This process determines the resolution, peak shape, and retention times in the chromatogram, which are essential for identifying and quantifying components in complex mixtures. Understanding the elution...
428
High-Performance Liquid Chromatography: Instrumentation00:57

High-Performance Liquid Chromatography: Instrumentation

1.4K
High-performance liquid chromatography, or HPLC, is an analytical technique that separates liquid samples under high pressures. An HPLC instrument consists of glass bottles for storing solvents called mobile phase reservoirs. HPLC-grade solvents are used to maintain high purity, and the dissolved gases are removed using a degasser, such as a vacuum pumping system or sparging with helium. The solvents are then pumped into the analytical column using a screw-driven syringe or reciprocating pumps.
1.4K
High-Performance Liquid Chromatography: Introduction01:11

High-Performance Liquid Chromatography: Introduction

1.5K
High-performance liquid chromatography(HPLC), formerly referred to as High-pressure liquid chromatography, is a powerful technique used to separate, identify, and quantify components in complex mixtures. The term "high pressure" refers to using high pressure to push the liquid mobile phase through the tightly packed columns.
In HPLC, two phases play a critical role in the separation process:
1.5K
¹H NMR: Interpreting Distorted and Overlapping Signals01:02

¹H NMR: Interpreting Distorted and Overlapping Signals

1.0K
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...
1.0K
Analyte Adsorption and Distribution01:09

Analyte Adsorption and Distribution

608
In certain chromatographic separations, solutes transfer between the mobile phase and the stationary phase via sorption, which typically refers to the process of adsorption. For many chromatographic systems, the sorption process often depends on the polarity of the compounds—an expression of the overall dipole moment within the molecule. During the separation process, there is competition between the solute and solvent for adsorption to the stationary phase. Highly polar compounds and...
608

You might also read

Related Articles

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

Sort by
Same author

Elastic analysis bridges structure and dynamics of an AAA+ molecular motor.

PLoS computational biology·2025
Same author

Global comparative structural analysis of responses to protein phosphorylation.

Nature communications·2025
Same author

Thermodynamic dissipation constrains metabolic versatility of unicellular growth.

Nature communications·2025
Same author

Erratum: Publisher Correction: Ciliary beating patterns map onto a low-dimensional behavioural space.

Nature physics·2025
Same author

Ciliary beating patterns map onto a low-dimensional behavioural space.

Nature physics·2025
Same author

Clustering coefficients for networks with higher order interactions.

Chaos (Woodbury, N.Y.)·2024
Same journal

Chemotactic self-organization captures the dynamics of mammalian hair follicle patterning.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same journal

Tomographic imaging of superconducting order using particle-hole interference.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same journal

Inhibitory potential of autologous neutralizing antibodies sets quantitative limits on the rebound-competent HIV-1 reservoir.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same journal

Inferring epidemiological parameters under an infectious phylogeography model with visitor dynamics.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same journal

Analytical modeling for suction cup designs for skin-interfaced wearable devices.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same journal

Improving cell-free metabolism through direct integration of artificial respiratory chains.

Proceedings of the National Academy of Sciences of the United States of America·2026
See all related articles

Related Experiment Video

Updated: Jun 7, 2025

Confocal Imaging of Confined Quiescent and Flowing Colloid-polymer Mixtures
10:56

Confocal Imaging of Confined Quiescent and Flowing Colloid-polymer Mixtures

Published on: May 20, 2014

12.1K

Liquid Hopfield model: Retrieval and localization in multicomponent liquid mixtures.

Rodrigo Braz Teixeira1,2, Giorgio Carugno3, Izaak Neri3

  • 1Gulbenkian Institute for Molecular Medicine, Rua da Quinta Grande 6, Oeiras 2780-156, Portugal.

Proceedings of the National Academy of Sciences of the United States of America
|November 20, 2024
PubMed
Summary
This summary is machine-generated.

Nonlinear repulsive interactions are key for multicomponent liquids to form ordered structures with specific compositions. This research introduces the liquid Hopfield model, revealing a trade-off between structure retrieval and component localization in liquid mixtures.

Keywords:
disordered systemsmulticomponent liquidstatistical physics

More Related Videos

Quantifying Mixing using Magnetic Resonance Imaging
07:33

Quantifying Mixing using Magnetic Resonance Imaging

Published on: January 25, 2012

10.9K
Analyzing Mixing Inhomogeneity in a Microfluidic Device by Microscale Schlieren Technique
10:12

Analyzing Mixing Inhomogeneity in a Microfluidic Device by Microscale Schlieren Technique

Published on: June 12, 2015

8.9K

Related Experiment Videos

Last Updated: Jun 7, 2025

Confocal Imaging of Confined Quiescent and Flowing Colloid-polymer Mixtures
10:56

Confocal Imaging of Confined Quiescent and Flowing Colloid-polymer Mixtures

Published on: May 20, 2014

12.1K
Quantifying Mixing using Magnetic Resonance Imaging
07:33

Quantifying Mixing using Magnetic Resonance Imaging

Published on: January 25, 2012

10.9K
Analyzing Mixing Inhomogeneity in a Microfluidic Device by Microscale Schlieren Technique
10:12

Analyzing Mixing Inhomogeneity in a Microfluidic Device by Microscale Schlieren Technique

Published on: June 12, 2015

8.9K

Area of Science:

  • Physics
  • Biophysics
  • Computational Neuroscience

Background:

  • Biological systems exhibit complex heterogeneity, leading to emergent mesoscopic structures like liquid phases with controlled compositions.
  • Understanding the interactions governing the retrieval of multiple ordered mesoscopic structures from such mixtures is crucial.
  • The competition for components among these structures presents challenges in predicting their formation and stability.

Purpose of the Study:

  • To develop an analytically tractable model for multicomponent liquids that can retrieve states with target compositions.
  • To identify the types of interactions necessary for the retrieval of multiple ordered mesoscopic structures.
  • To explore the physical limitations and trade-offs involved in achieving target compositions in liquid mixtures.

Main Methods:

  • Development of a novel model for multicomponent liquids, termed the liquid Hopfield model.
  • Analytical investigation of interaction types required for structure retrieval.
  • Analysis of phenomena such as localization in liquid mixtures at low temperatures.

Main Results:

  • Nonlinear repulsive interactions are identified as a general requirement for the retrieval of target structures in multicomponent liquids.
  • The phenomenon of 'localization,' where liquid mixtures transition to phases with fewer components at low temperatures, is demonstrated.
  • A fundamental trade-off between the retrieval of target structures and the localization phenomenon is revealed.

Conclusions:

  • The liquid Hopfield model provides insights into the formation of ordered structures in complex biological mixtures.
  • Nonlinear repulsive interactions are essential for maintaining desired compositions against the tendency towards localization.
  • This work establishes connections between neural computation principles and the behavior of liquid mixtures, opening new avenues for research.