API-IT-MS for measuring aroma release from dentifrice products using a device to simulate tooth brushing

Area of Science:

• Analytical Chemistry
• Food Science
• Materials Science

Background:

• Understanding aroma release from oral care products is crucial for consumer experience.
• Existing methods for analyzing flavor release are often complex and time-consuming.

Purpose of the Study:

• To develop and validate a novel analytical method for studying aroma release from dentifrices.
• To investigate the influence of time, dilution, and physicochemical properties on flavor release dynamics.

Main Methods:

• A mechanical tooth brushing device was coupled to an atmosphere pressure ionization ion trap mass spectrometer (API-IT-MS).
• Exponential dilution analysis (EDA) and linear regression models were used for quantification of nine flavor components.
• Aroma release profiles of three specific compounds (limonene, menthone, cinnamic aldehyde) were monitored during simulated brushing.

Main Results:

• Linear regression models showed good fits (R(2) > 0.92) for most compounds, enabling quantification.
• Aroma release patterns varied significantly between compounds, influenced by vapor pressure, log P, and matrix interactions.
• A plateau in API-IT-MS response above 1 mg g(-1) indicated a transition from dissolved to emulsified state, affecting release characteristics.

Conclusions:

• The developed API-IT-MS coupled brushing device is effective for studying aroma release from model dentifrices.
• Physicochemical properties and concentration-dependent phase transitions significantly impact flavor release kinetics.
• This method provides valuable insights into the complex mechanisms governing aroma perception in oral care products.