Related Experiment Video
Updated: May 8, 2026

A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments
Published on: March 1, 2022
Parameter conversion from Kedem-Katchalsky model to two-parameter model revisited
1Department of Electronic Science and Technology, University of Science and Technology of China, Hefei, Anhui, China.
This study corrects cell parameter datasets for cryopreservation, improving the accuracy of the two-parameter (2P) model for predicting cell volume changes during cryoprotective agent exposure.
Area of Science:
- Biophysics
- Cell Biology
- Cryobiology
Background:
- Successful cryopreservation requires minimizing osmotic injury from cryoprotective agents.
- The Kedem-Katchalsky (KK) and two-parameter (2P) models describe cell volumetric responses.
- The 2P model is simpler and often preferred, but requires accurate parameters.
Purpose of the Study:
- To verify and correct the 2P model parameters for various cell types.
- To address inaccuracies in previous derivations of 2P parameters from KK parameters.
- To provide a reliable dataset for optimizing cryopreservation protocols.
Main Methods:
- Re-evaluation of 2P model parameter calculations based on original experimental conditions.
- Comparison and correction of previously published 2P parameter values.
- Generation of a verified dataset for multiple cell types.
Main Results:
- Identified and corrected discrepancies in 2P model parameters derived from KK parameters.
- Presented a revised dataset for cell volumetric responses crucial for cryopreservation.
- The corrected dataset enhances the predictive accuracy of the 2P model.
Conclusions:
- Accurate cell parameters are essential for reliable cryopreservation modeling.
- The corrected dataset facilitates improved optimization of cryoprotective agent addition and removal.
- This work provides a foundation for more precise cryobiology research and applications.
More Related Videos
08:0915N CPMG Relaxation Dispersion for the Investigation of Protein Conformational Dynamics on the µs-ms Timescale
Published on: April 19, 2021
09:49Sedimentation Equilibrium of a Small Oligomer-forming Membrane Protein: Effect of Histidine Protonation on Pentameric Stability
Published on: April 2, 2015
Related Concept Videos
One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation
On...
Parameters Affecting Nonlinear Elimination: Zero-Order Input, First-Order Absorption and Two-Compartment Model
When a drug is administered through a constant intravenous infusion and eliminated via nonlinear pharmacokinetics, it follows zero-order input. For example, oral drugs undergo first-order absorption upon administration and are eliminated through nonlinear pharmacokinetics.
In the case of subcutaneously administered drugs,...
Model Approaches for Pharmacokinetic Data: Distributed Parameter Models
The distributed parameter models are specifically designed to account for variations and differences in some drug classes. This model is particularly useful for assessing regional concentrations of anticancer or...
Compartment Models: Two-Compartment Model
Structure of Benzene: Kekulé Model
He proposed that benzene has a cyclic structure of six carbon atoms attached to one hydrogen atom each, with three alternating pi bonds.
Analysis Methods of Pharmacokinetic Data: Model and Model-Independent Approaches
The model approach uses mathematical models to describe changes in drug concentration over time. Pharmacokinetic models help characterize drug behavior in patients, predict drug concentration in the body fluids, calculate optimum dosage regimens, and evaluate the risk of toxicity. However, ensuring that the model fits the experimental data accurately...