Foodstuff Thermal Diffusivity
Reference data and engineering information about foodstuff thermal diffusivity for food and bio applications.
Overview
Engineering reference data for Foodstuff Thermal Diffusivity in food bio.
Key Formulas
pH
Measure of acidity in food.
Water Activity
Ratio of vapor pressure of food to pure water.
Thermal Death Time
Microbial reduction during heating.
Q10 Temperature Coefficient
Rate change per 10°C temperature increase.
Variables
| Symbol | Description | Unit |
|---|---|---|
| Acidity level | — | |
| Water activity | — | |
| Microbial count | CFU | |
| Decimal reduction time | min | |
| Temperature coefficient | — |
Foodstuff | Water Content(% wt) | Temperature(°C) | Thermal Diffusivity(10⁻⁷ m²/s) |
|---|---|---|---|
| Apple, juice | 37 | 5 | 1.05 |
| Apple, whole | 85 | 0 - 30 | 1.37 |
| Avocado, flesh | 24 | 1.24 | |
| Avocado, seed | 24 | 1.29 | |
| Avocado, whole | 41 | 1.54 | |
| Banana, flesh | 76 | 5 | 1.18 |
| Beans, baked | 4 - 122 | 1.68 | |
| Beef, chuck | 66 | 40 - 65 | 1.23 |
| Beef, round | 71 | 40 - 65 | 1.33 |
| Beef, tongue | 68 | 40 - 65 | 1.32 |
| Cherries, flesh | 30 | 1.32 | |
| Codfish | 81 | 5 | 1.22 |
| Corned beef | 65 | 5 | 1.32 |
| Grapefruit, flesh | 89 | 1.27 | |
| Halibut | 76 | 40 - 65 | 1.47 |
| Ham, smoked | 64 | 5 | 1.18 |
| Lemon, whole | 72 | 40 | 1.07 |
| Lima beans, pureed | 26 - 122 | 1.80 | |
| Pea, pureed | 16 - 122 | 1.82 | |
| Peach, whole | 27 | 1.39 | |
| Potato, cooked & mashed | 78 | 5 | 1.23 |
| Potato, flesh | 25 | 1.70 | |
| Rutabaga | 48 | 1.34 | |
| Squash, whole | 47 | 1.71 | |
| Strawberry, flesh | 92 | 5 | 1.27 |
| Sugarbeet | 14 | 1.26 | |
| Tomato, pulp | 4 | 1.48 |
Source: engineeringtoolbox.com
Applying the Formula
The fundamental relationship for thermal diffusivity () connects it to three other key material properties:
This equation shows that diffusivity is directly proportional to thermal conductivity () and inversely proportional to the product of density () and specific heat capacity (). A material with high will respond rapidly to temperature changes, which is a critical factor in food processing for predicting heating/cooling rates, cooking times, and ensuring food safety.