A Bohrer model is a computer program that simulates the diffusion of oxygen molecules into an object, such as a human body.
If the diffusion is very slow, it’s called a “bohr-type” model.
Bohrs have become popular because they are easy to work with and, in the case of an oxygen-containing object, they’re also relatively accurate.
A typical model requires several hours of calculations and hundreds of thousands of data points, so the software can only simulate the diffusion at a certain rate.
BOHrs are especially good for measuring the speed of diffusion, as diffusion rates are very sensitive to the speed at which the diffusion occurs.
However, for other conditions, such a model can be much more accurate.
In a new paper, a team of researchers from Oxford and Princeton University compared a model of diffusion with a real one that sims the process of diffusion in a human.
They found that a Bohrerer model was about 20 percent more accurate at measuring diffusion in humans than a real model.
“We used a computer model to model diffusion and the Bohrea model to measure it in an actual body,” said Daniel Pang, a research scientist at Oxford and a senior author of the paper.
“These models are generally used in biophysical research, but we wanted to see if they could be used to study other aspects of human physiology.”
The study, published in the Journal of the American Medical Association, compared the diffusion models used in different biophysical conditions and found that BOHr models were more accurate for a number of physiological parameters.
The researchers also found that the BOHrerers model was more accurate in detecting the presence of oxygen in human blood than a true model.
The authors speculate that this could be due to the fact that Bohrers are able to reproduce the diffusion in an oxygen rich environment.
A BOHrer model of human diffusion.
Credit: Oxford University.
“Theoretical considerations have led to the assumption that there are some fundamental principles that govern the behavior of diffusion,” said Pang.
“In particular, it has been suggested that the diffusion model has the properties of a diffusion-based system.”
The researchers used data collected from various physiological conditions to create a model.
They used a model called the diffusion-time-dependent diffusion (DTDD) that simmers the diffusion processes over time, and they used a more accurate model called an oxygen isotope diffraction model (OIDM).
The models included measurements of oxygen levels, pH, carbon dioxide levels, oxygen saturation, and diffusion rates.
They also measured diffusion in various physiological sites.
The results showed that the oxygen-rich environment could be important in the prediction of the diffusion rate.
The team used a variety of physiological factors to calculate the model, such how fast the diffusion was happening, how much CO2 was in the air, and how much time elapsed between diffusion events.
The models showed that diffusion rates in the oxygen rich air were much faster than those in the CO2-rich air.
This is important because oxygen-poor air causes a much slower diffusion rate in humans compared to people living in oxygen rich environments.
The study found that diffusion speeds in the human body are often faster than in oxygen-depleted environments, but this speed difference is small compared to the differences in diffusion rates between the two types of environments.
“It’s the small differences that matter in a model, and our study suggests that oxygen-inclusive environments may actually improve diffusion rates,” said Dr. Nayanand Kishore, an assistant professor in the Department of Biomedical Engineering at Oxford.
“For example, if we take a BOHrea model and run it under conditions where there is a higher oxygen content in the environment, we can see a much faster diffusion rate, which is what we want in a true diffusion-rate model.”
A Bohm model of the human diffusion process.
Credit and image courtesy of Daniel P. Pang and Oxford University via ScienceDaily.