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Calculating the nutrient composition of recipes with computers.

P M Powers1, L W Hoover

  • 1Department of Human Nutrition, Foods, and Food Systems Management, University of Missouri-Columbia 65211.

Journal of the American Dietetic Association
|February 1, 1989
PubMed
Summary
This summary is machine-generated.

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Comparing four nutrient calculation methods for recipes, this study found no single superior approach. The yield factor and retention factor methods warrant further consideration due to their capabilities in recipe nutrient analysis.

Area of Science:

  • Food Science
  • Nutrition Informatics
  • Computational Nutrition

Background:

  • Accurate nutrient calculation is crucial for dietary assessment and food product labeling.
  • Computerized methods are widely used but may yield varying results.
  • Understanding the discrepancies between calculation methods is essential for reliable data.

Purpose of the Study:

  • To compare nutrient values calculated by four common computerized methods: yield factor, retention factor, summing, and simplified retention factor.
  • To evaluate the performance of two summing method variations (raw and cooked).
  • To analyze four pork entrée recipes using these computational models.

Main Methods:

  • Development of microcomputer spreadsheet models simulating the algorithms of four nutrient calculation methods.

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  • Application of models to four pork entrée recipes (roast pork, pork and noodle casserole, pan-broiled pork chops, pork chops with vegetables).
  • Inclusion of assumptions regarding ingredient changes during preparation and cooking.

    • Main Results:

    • Identical results were observed for roast pork using the yield factor, retention factor, and summing-cooked models.
    • The retention factor and summing-cooked models yielded identical results for pan-broiled pork chops.
    • The summing-raw model produced the highest water content and lowest values for most other nutrients across all four recipes.

    Conclusions:

    • No single computerized nutrient calculation method was identified as superior.
    • The yield factor and retention factor methods demonstrated capabilities that merit further investigation for recipe analysis.
    • Further research is needed to refine and validate computational approaches for nutrient calculation.