Related Experiment Video
Updated: May 16, 2026
10:33
Expedited Radiation Biodosimetry by Automated Dicentric Chromosome Identification (ADCI) and Dose Estimation
Published on: September 4, 2017
The Stephan Curve revisited
1Center for Oral Biology, University of Rochester, 601 Elmwood Avenue, Rochester, NY 14642, USA. William_Bowen@urmc.rochester.edu
Odontology
|December 11, 2012
Summary
The Stephan Curve, crucial for caries research, overemphasizes acid production. Exploring alkali production in dental plaque offers new avenues for preventing tooth decay.
Area of Science:
- Biochemistry
- Dental Research
- Microbiology
Background:
- The Stephan Curve has been a cornerstone in dental caries research for decades.
- It primarily focuses on acid production in dental plaque as the cause of tooth demineralization.
- Current methods for measuring plaque pH may lack accuracy due to localized pH variations.
Purpose of the Study:
- To critically evaluate the dominant focus on acid production in caries research.
- To highlight the underappreciated role of alkali production within the dental plaque environment.
- To suggest alternative research directions beyond the traditional Stephan Curve model.
Main Methods:
- Review of existing literature on the Stephan Curve and dental plaque pH dynamics.
- Analysis of technological limitations in current plaque pH measurement.
- Conceptual exploration of alkali production mechanisms in oral biofilms.
Main Results:
- The Stephan Curve's reliance on overall plaque pH may obscure localized variations and other metabolic processes.
- Acid production is a significant factor, but alkali production's influence on tooth dissolution is largely overlooked.
- Current methodologies might provide a "false sense of accuracy" regarding plaque pH.
Conclusions:
- Over-reliance on the Stephan Curve may lead to an incomplete understanding of dental caries.
- Enhancing alkali production in dental plaque presents a promising, yet underexplored, research area.
- Further investigation into the plaque milieu and alkali production could yield significant advancements in caries prevention strategies.
Related Concept Videos
01:21Dose Response Curve: Conventional Versus Nonmonotonic
The correlation between a drug's dosage and its impact on a biological system is a cornerstone of pharmacology and toxicology. Conventional dose–response curves, which include graded and quantal relationships, are key to this understanding. Graded dose–response curves depict the spectrum of a biological reaction to different doses within an individual, indicating that as the drug dosage increases, so does the intensity of the response. On the other hand, quantal dose–response relationships...
02:23Acid-Base Titration Curves
A titration curve is a plot of some solution property versus the amount of added titrant. For acid-base titrations, solution pH is a useful property to monitor because it varies predictably with the solution composition and, therefore, may be used to monitor the titration’s progress and detect its endpoint. Acid-base titration can be performed with a strong acid and a strong base, a strong acid and a weak base, or a strong base and a weak acid.
For a titration carried out for 25.00 mL of 0.100...
For a titration carried out for 25.00 mL of 0.100...
01:16Basic Discrete Time Signals
The unit step sequence is defined as 1 for zero and positive values of the integer n. This sequence can be graphically displayed using a set of eight sample points, showing a step function starting from n=0 and remaining constant thereafter.
The unit impulse or sample sequence is mathematically expressed as zero for all n values except at n=0, where it is one. The unit impulse sequence, denoted by δ(n), is the first difference of the unit step sequence, while the unit step sequence u(n) is the...
The unit impulse or sample sequence is mathematically expressed as zero for all n values except at n=0, where it is one. The unit impulse sequence, denoted by δ(n), is the first difference of the unit step sequence, while the unit step sequence u(n) is the...
01:18Survival Curves
Survival curves are graphical representations that depict the survival experience of a population over time, offering an intuitive way to track the proportion of individuals who remain event-free at each time point. These curves are widely used in fields such as medicine, public health, and reliability engineering to visualize and compare survival probabilities across different groups or conditions.
The Kaplan-Meier estimator is the most common method for constructing survival curves. This...
The Kaplan-Meier estimator is the most common method for constructing survival curves. This...
01:24Types of Limits II
When observing how a curve behaves near a specific point along the horizontal axis, there are cases where the curve’s height increases or decreases without limit as the position draws closer to that point. The curve does not settle at any particular value; instead, the values grow more extreme—upward or downward—the nearer they get. No defined value exists exactly at that location, yet the surrounding behavior becomes more dramatic, indicating a sharp change in direction.The values may rise...
02:44Heating and Cooling Curves
When a substance—isolated from its environment—is subjected to heat changes, corresponding changes in temperature and phase of the substance is observed; this is graphically represented by heating and cooling curves.
For instance, the addition of heat raises the temperature of a solid; the amount of heat absorbed depends on the heat capacity of the solid (q = mcsolidΔT). According to thermochemistry, the relation between the amount of heat absorbed or released by a substance, q, and its...
For instance, the addition of heat raises the temperature of a solid; the amount of heat absorbed depends on the heat capacity of the solid (q = mcsolidΔT). According to thermochemistry, the relation between the amount of heat absorbed or released by a substance, q, and its...