Assay Sensitivity Optimization

Assay Sensitivity Optimization is a methodological framework in diagnostic immunochemistry that systematically enhances the detection limit of monoclonal antibody-based assays by refining reagent concentrations, incubation parameters, and signal amplification techniques to maximize analytical sensitivity without compromising specificity.

328

Publications

15.1K

Citations

1.7K

Authors

567

Institutions

Publications per year

2017–2026

74

Authors

1.7K

  1. ÁM
    Ángel Montoya

    Universitat Politècnica de València, Spain

    4 publications · 160 citations

    4

    h-index

  2. ZW
    Zhanhui Wang

    China Agricultural University, China

    4 publications · 122 citations

    4

    h-index

  3. HK
    Hua Kuang

    Jiangnan University, China

    4 publications · 145 citations

    4

    h-index

  4. YS
    Yu‐Dong Shen

    South China Agricultural University, China

    3 publications · 87 citations

    3

    h-index

  5. LX
    Liguang Xu

    Jiangnan University, China

    3 publications · 75 citations

    3

    h-index

1–5 of 1.7K

Venues

  1. Journal of Immunological Methods

    22 publications · 2.2K citations

    18

    h-index

  2. Analytical Chemistry

    13 publications · 857 citations

    13

    h-index

  3. Bioanalysis

    BIO · 14 publications · 270 citations

    12

    h-index

  4. Clinical Chemistry

    9 publications · 377 citations

    9

    h-index

  5. Journal of Agricultural and Food Chemistry

    9 publications · 451 citations

    9

    h-index

1–5