Sensor-based Adulteration Detection

Sensor-Based Adulteration Detection is a methodological framework within adulteration detection that utilizes physical, chemical, or biological sensors to identify and quantify contaminants or fraudulent modifications in products by measuring intrinsic compositional or structural changes indicative of adulteration.

21

Publications

691

Citations

102

Authors

53

Institutions

Publications per year

2017–2026

15

Authors

102

  1. VM
    Vivekanand Mishra

    Sardar Vallabhbhai National Institute of Technology Surat, India

    2 publications · 40 citations

    2

    h-index

  2. PL
    Peiwu Li

    Oil Crops Research Institute, China

    2 publications · 64 citations

    2

    h-index

  3. LZ
    Liangxiao Zhang

    Oil Crops Research Institute, China

    2 publications · 64 citations

    2

    h-index

  4. JM
    Jin Mao

    Oil Crops Research Institute, China

    2 publications · 64 citations

    2

    h-index

  5. DV
    Dmitry V. Evtuguin

    University of Aveiro, Portugal

    1 publications · 63 citations

    1

    h-index

1–5 of 102

Venues

  1. Food Chemistry

    5 publications · 190 citations

    5

    h-index

  2. Opto-Electronics Review

    1 publications · 22 citations

    1

    h-index

  3. Meat Science

    1 publications · 20 citations

    1

    h-index

  4. Alexandria Engineering Journal

    AEJ · 1 publications · 83 citations

    1

    h-index

  5. Journal of Food Quality

    1 publications · 23 citations

    1

    h-index

1–5