Overcoming calorie calculation challenges for fried foods within MenuCal^©

Abstract

The estimation of oil/fat absorption by foods during deep or shallow frying is a major challenge when calculating the calorie content of some recipes. The aim of this study was to develop and validate a method within MenuCal ©(1) for calculating calories, within a tolerance of ±30% accuracy, for recipes necessitating estimation of oil/fat absorption during frying.The amount of oil/fat absorbed during shallow and deep fat frying has been directly estimated for a variety of foods grouped into 39 categories (2) . This data was used to apply fat absorption factors to all foods in MenuCal © . A 'fat absorption' process was integrated into the MenuCal © software which prompts users to choose a method of frying, the type of fat/oil being used and, if necessary, the addition of a batter or crumb. For validation, foods that have a calorie value for both raw and fried versions were identified from CoF IDS (3) (n93 pairs) and grouped into four food types. Calorie values for the fried versions of these foods were calculated using the MenuCal © process. This is based on CoF IDS calorie values for 100 g of the raw foods plus the calorie estimation for oil/fat absorbed during frying using the fat absorption factors. The resulting calorie values were compared with calorie values for the fried versions of these food in CoF IDS (amounts equivalent to 100 g raw weight adjusted for weight yield during cooking) (2,4) . Pearson's correlation co-efficient was used to assess the relationship between the proportional variation in calorie values obtained using the two methods (% difference in values estimated by MenuCal © compared with CoF IDS values -see table) and the CoF IDS calorie values of the fried foods.As shown in the table, median calorie values for all of the food groups, estimated using MenuCal © , were comparable with CoF IDS values and, with the exception of the vegetable group, all fell within the ±30% variation tolerance limit. Overall a weak negative correlation was observed between the proportional variation in calorie values and the calorie content of the fried foods (r = − 0.28). However, this correlation was stronger for foods with a lower calorie content (r = − 0.43 for foods below the median CoF IDS calorie value). This indicates that the variation between calorie values estimated using MenuCal © compared with CoF IDS, is greatest for fried foods with a lower calorie content.The method developed to calculate the calorie content of fried food recipes in MenuCal © was comparable with CoF IDS values, within a ±30% tolerance limit, for most foods tested. As underestimation was greatest for the foods with the lowest calorie content, the impact on variation in amount of calories calculated per serving is low.

Empowering people to be healthier: public health nutrition through the Ottawa Charter

“…The development of a free on-line calorie calculator specifically for food service business personnel who have no nutrition background ( 43 ) addresses these issues. MenuCal the calculator has been tested to ensure accuracy ( 44 ) and has advanced functions to calculate fat absorbed during frying ( 45 ) . As shown in Fig.…”

Developing MenuCal© - a system to enable food businesses to put calories on their menus

“…The final phase of testing revealed the need to develop the advanced function to calculate calories for fried foods. A validation study of this advanced function showed acceptable accuracy (±30% tolerance) was achieved for most fried foods tested (5) . In conclusion, MenuCal is a unique and innovative tool designed to enable sustainable calorie menu labelling by small to mediumsize food service enterprises across Ireland.…”

“…The final phase of testing revealed the need to develop the advanced function to calculate calories for fried foods. A validation study of this advanced function showed acceptable accuracy (±30% tolerance) was achieved for most fried foods tested ( 5 ) .…”

“…Refinements to searching for, and quantifying, foods were incorporated as an integrated system of ‘chef's tips, prompts and guidance on portion sizes’ which were linked to relevant foods. Following the final phase of testing, an advanced function was developed to estimate oil/fat absorption during frying for calculation of calories for fried dishes ( 5 ) . Finally an interactive on-line training module was developed based on all findings during testing - including errors, inaccuracies and feedback from testers.…”