Proximate Composition Profiling

Proximate Composition Profiling is a compositional analysis framework that systematically categorizes and quantifies the major nutritional components of a substance—such as moisture, ash, protein, fat, and carbohydrate—thereby enabling standardized assessment of its biochemical makeup within food science and related disciplines.

93

Publications

4K

Citations

378

Authors

120

Institutions

Publications per year

2017–2026

28

Authors

378

  1. KE
    Katherine E. Sharpless

    National Institute of Standards and Technology, United States

    2 publications · 63 citations

    2

    h-index

  2. MR
    Mohammad Redwanur Rahman

    Chattogram Veterinary and Animal Sciences University, Bangladesh

    2 publications · 25 citations

    2

    h-index

  3. HK
    Helena Khatoon

    Universiti Malaysia Terengganu, Malaysia

    2 publications · 25 citations

    2

    h-index

  4. ZI
    Zahidul Islam

    Bangladesh Fisheries Research Institute, Bangladesh

    2 publications · 25 citations

    2

    h-index

  5. SK
    Sanzib Kumar Barman

    Khulna University, Bangladesh

    2 publications · 25 citations

    2

    h-index

1–5 of 378

Venues

  1. Journal of Agricultural and Food Chemistry

    3 publications · 118 citations

    3

    h-index

  2. Pakistan Journal of Nutrition

    PJN · 3 publications · 321 citations

    3

    h-index

  3. 2

    h-index

  4. 2

    h-index

  5. Food Chemistry

    2 publications · 180 citations

    2

    h-index

1–5