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

High-Performance Liquid Chromatography: Elution Process01:05

High-Performance Liquid Chromatography: Elution Process

1.7K
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...
1.7K
High-Performance Liquid Chromatography: Instrumentation00:57

High-Performance Liquid Chromatography: Instrumentation

3.2K
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.
3.2K
High-Performance Liquid Chromatography: Introduction01:11

High-Performance Liquid Chromatography: Introduction

3.7K
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:
3.7K
High-Performance Liquid Chromatography: Types of Detectors01:15

High-Performance Liquid Chromatography: Types of Detectors

1.9K
The role of the detectors in High-Performance Liquid Chromatography (HPLC) is to analyze the solutes as they exit from the chromatographic column. The detector recognizes the solute's property and generates corresponding electrical signals, which are converted into a readable graph of the detector's response versus elution time called a chromatogram at the computer. There are several types of HPLC detectors, each with its own advantages and limitations, depending on the analyte...
1.9K
¹H NMR of Conformationally Flexible Molecules: Variable-Temperature NMR01:15

¹H NMR of Conformationally Flexible Molecules: Variable-Temperature NMR

1.8K
The axial and equatorial protons in cyclohexane can be distinguished by performing a variable-temperature NMR experiment. In this process, except for one proton, the remaining eleven protons are replaced by deuterium. The deuterium substitution avoids the possible peak splitting caused by the spin-spin coupling between the adjacent protons. The remaining proton flips between the axial and equatorial positions.
1.8K
Henderson-Hasselbalch Equation02:48

Henderson-Hasselbalch Equation

77.6K
The ionization-constant expression for a solution of a weak acid can be written as:
77.6K

You might also read

Related Articles

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

Sort by
Same author

Implementation of EC-RISM for ADC(2) and CC2 to Include Solvent Granularity Effects in Excited-State Energies and Gradients.

Journal of chemical theory and computation·2026
Same author

Trapped Cycloadducts of 1-Azabutadienes via Microwave-Assisted Ring Opening of <i>N</i>-Acyl-2-azetines.

The Journal of organic chemistry·2026
Same author

Activation volumes associated with excited-state electron transfer across amidinium-carboxylate bridge.

Chemical science·2026
Same author

Radiolabeling of oligopeptides by selective hydrogen isotope exchange with deuterium and tritium in aqueous buffers.

Nature communications·2026
Same author

Nonstandard Factor VIIa Binding Mode Reveals S1 Pocket Plasticity in Trypsin-Like Proteases.

ChemMedChem·2026
Same author

HyperSBINN: A Hypernetwork-Enhanced Systems Biology-Informed Neural Network for Efficient Drug Cardiosafety Assessment.

Journal of computational biology : a journal of computational molecular cell biology·2026
Same journal

QSAR in the Browser: An Interactive Cheminformatics Web Application.

Journal of chemical information and modeling·2026
Same journal

FoldDoF: Utilizing the Primary Degrees of Freedom of Protein Backbone for Geometric Modeling and Generation.

Journal of chemical information and modeling·2026
Same journal

Derisking Affinity Optimization for Macrocycles and Cyclic Peptides: High-Precision Free Energy Simulations across Five Diverse Targets.

Journal of chemical information and modeling·2026
Same journal

An End-User Audit of Reproducibility, Data Leakage, and Overfitting of the Top-Ranked ADMET Prediction Models in TDC Leaderboards.

Journal of chemical information and modeling·2026
Same journal

PFASGroups: An Open-Source Framework for Automated Identification, Structural Classification, and Prioritization of Per- and Polyfluoroalkyl Substances.

Journal of chemical information and modeling·2026
Same journal

DeepKbhb: Context-Aware Prediction of Human Lysine β-Hydroxybutyrylation Sites.

Journal of chemical information and modeling·2026
See all related articles

Related Experiment Video

Updated: Feb 26, 2026

Excitonic Hamiltonians for Calculating Optical Absorption Spectra and Optoelectronic Properties of Molecular Aggregates and Solids
08:04

Excitonic Hamiltonians for Calculating Optical Absorption Spectra and Optoelectronic Properties of Molecular Aggregates and Solids

Published on: May 27, 2020

9.0K

The hpCADD NDDO Hamiltonian: Parametrization.

Heike B Thomas1, Matthias Hennemann1, Patrick Kibies2

  • 1Computer-Chemie-Centrum, Department Chemie und Pharmazie, Friedrich-Alexander-Universität Erlangen-Nürnberg , Nägelsbachstr. 25, 91052 Erlangen, Germany.

Journal of Chemical Information and Modeling
|July 13, 2017
PubMed
Summary
This summary is machine-generated.

A new neglect of diatomic differential overlap (NDDO) Hamiltonian, hpCADD, is developed for polarizable force fields. It accurately reproduces electrostatic properties and ionization potentials for efficient molecular simulations.

More Related Videos

Post Column Derivatization Using Reaction Flow High Performance Liquid Chromatography Columns
06:25

Post Column Derivatization Using Reaction Flow High Performance Liquid Chromatography Columns

Published on: April 26, 2016

15.9K
Tuning a Parallel Segmented Flow Column and Enabling Multiplexed Detection
08:01

Tuning a Parallel Segmented Flow Column and Enabling Multiplexed Detection

Published on: December 15, 2015

8.0K

Related Experiment Videos

Last Updated: Feb 26, 2026

Excitonic Hamiltonians for Calculating Optical Absorption Spectra and Optoelectronic Properties of Molecular Aggregates and Solids
08:04

Excitonic Hamiltonians for Calculating Optical Absorption Spectra and Optoelectronic Properties of Molecular Aggregates and Solids

Published on: May 27, 2020

9.0K
Post Column Derivatization Using Reaction Flow High Performance Liquid Chromatography Columns
06:25

Post Column Derivatization Using Reaction Flow High Performance Liquid Chromatography Columns

Published on: April 26, 2016

15.9K
Tuning a Parallel Segmented Flow Column and Enabling Multiplexed Detection
08:01

Tuning a Parallel Segmented Flow Column and Enabling Multiplexed Detection

Published on: December 15, 2015

8.0K

Area of Science:

  • Computational Chemistry
  • Molecular Modeling
  • Quantum Chemistry

Background:

  • Developing accurate and efficient electronic components for polarizable force fields is crucial for molecular simulations.
  • Existing methods often face challenges in balancing accuracy and computational cost.

Purpose of the Study:

  • To parameterize a neglect of diatomic differential overlap (NDDO) Hamiltonian as an electronic component for polarizable force fields.
  • To develop a new, efficiently applicable multipolar polarizable force field framework.

Main Methods:

  • Parametrization of the NDDO Hamiltonian (hpCADD) using force-field-like atom types.
  • Validation against training and test sets of small molecules for electrostatic properties and ionization potentials.
  • Testing the hpCADD Hamiltonian in conjunction with the 3D reference interaction site model (3D RISM) for aqueous solutions.

Main Results:

  • The hpCADD Hamiltonian closely reproduces electrostatic properties (dipole moment, molecular electrostatic potential) and Koopmans' theorem ionization potentials.
  • The model demonstrates advantages in calculating solvation free energies for aqueous solutions compared to standard methods and semiempirical Hamiltonians.
  • The hpCADD Hamiltonian is designed to work with classical force fields, controlling geometries and total energies.

Conclusions:

  • The hpCADD Hamiltonian offers a promising electronic component for next-generation polarizable force fields.
  • This approach enables efficient and accurate simulations of electrostatic interactions and solvation effects.
  • The developed framework advances the field of computational chemistry for molecular modeling.