Proximate Composition Analysis

Proximate Composition Analysis is a standardized analytical method in food science that belongs to the category of compositional assessment techniques, specifically designed to determine the major nutrient components of food—namely moisture, protein, fat, ash, and carbohydrate—through defined sequential fractionation procedures.

1.5K

Publications

59.6K

Citations

5K

Authors

1.2K

Institutions

Publications per year

2017–2026

512

Authors

5K

  1. LA
    Luís A. Bello‐Pérez

    Instituto Politécnico Nacional, Mexico

    8 publications · 432 citations

    8

    h-index

  2. KE
    Katherine E. Sharpless

    National Institute of Standards and Technology, United States

    7 publications · 168 citations

    7

    h-index

  3. AA
    A.A. Adebowale

    Federal University of Agriculture, Nigeria

    7 publications · 411 citations

    7

    h-index

  4. AS
    Aldona Sobota

    University of Life Sciences in Lublin, Poland

    5 publications · 209 citations

    6

    h-index

  5. JT
    Juscelino Tovar

    Central University of Venezuela, Venezuela

    6 publications · 205 citations

    6

    h-index

1–5 of 5K

Venues

  1. Journal of Agricultural and Food Chemistry

    83 publications · 4.8K citations

    38

    h-index

  2. Food Chemistry

    40 publications · 3.5K citations

    31

    h-index

  3. LWT

    34 publications · 2.4K citations

    27

    h-index

  4. Pakistan Journal of Nutrition

    PJN · 32 publications · 1.5K citations

    23

    h-index

  5. Foods

    34 publications · 1.2K citations

    22

    h-index

1–5