Technical Treatments of Antioxidant Test with DPPH Method Affecting IC50 Value

Authors

  • Muhammad Roy Asrori Laboratory of Minerals and Advanced Materials, Faculty of Mathematics and Natural Sciences, Universitas Negeri Malang, Jl. Semarang No.5, Malang, 65145, Indonesia Author
  • Mailinda Ayu Hana Margareta Laboratory of Minerals and Advanced Materials, Faculty of Mathematics and Natural Sciences, Universitas Negeri Malang, Jl. Semarang No.5, Malang, 65145, Indonesia Author
  • Siti Khoirunnisa Department of Pharmacy, Universitas Muhammadiyah Yogyakarta, Jl. Brawijaya, Bantul, Yogyakarta, 55183, Indonesia Author
  • Deni Ainur Rokhim SMAN 3 Sidoarjo, Jl. Dr. Wahidin No.130, Sidoarjo, 61215, Indonesia Author
  • Suharti Suharti Department of Chemistry, Faculty of Mathematics and Natural Sciences, Universitas Negeri Malang, Jl. Semarang No.5, Malang, 65145, Indonesia Author
  • Surjani Wonorahardjo Department of Chemistry, Faculty of Mathematics and Natural Sciences, Universitas Negeri Malang, Jl. Semarang No.5, Malang, 65145, Indonesia Author

DOI:

https://doi.org/10.47363/JCIA/2026(5)161

Keywords:

Antioxidant Test, DPPH, Error, Laboratory Technique

Abstract

Antioxidant tests are widely applied to foods and beverages, even at the nanoscale, because antioxidant activity is a crucial indicator of a substance's ability to neutralize free radicals. A common technique is the DPPH method, which utilizes the DPPH reagent, making its application according to SNI standards interesting to study. However, obtaining valid results requires identifying and mitigating potential errors throughout the testing procedure. Many studies present uncorrected IC50 values due to inconsistencies in treatment and methodology. Errors can arise at any stage, from sample preparation to data analysis, and may stem from the technician, equipment, materials, or environmental conditions. Ultimately, these procedural flaws can lead to inaccurate or invalid IC50 values, evidenced by a poor linear regression curve. Therefore, this study was conducted to examine all sources of error that affect the determination of IC50 values.

Author Biographies

  • Muhammad Roy Asrori, Laboratory of Minerals and Advanced Materials, Faculty of Mathematics and Natural Sciences, Universitas Negeri Malang, Jl. Semarang No.5, Malang, 65145, Indonesia

    Laboratory of Minerals and Advanced Materials, Faculty of Mathematics and Natural Sciences, Universitas Negeri Malang, Jl. Semarang No.5, Malang, 65145, Indonesia

  • Mailinda Ayu Hana Margareta, Laboratory of Minerals and Advanced Materials, Faculty of Mathematics and Natural Sciences, Universitas Negeri Malang, Jl. Semarang No.5, Malang, 65145, Indonesia

    Laboratory of Minerals and Advanced Materials, Faculty of Mathematics and Natural Sciences, Universitas Negeri Malang, Jl. Semarang No.5, Malang, 65145, Indonesia

  • Siti Khoirunnisa, Department of Pharmacy, Universitas Muhammadiyah Yogyakarta, Jl. Brawijaya, Bantul, Yogyakarta, 55183, Indonesia

    Department of Pharmacy, Universitas Muhammadiyah Yogyakarta, Jl. Brawijaya, Bantul, Yogyakarta, 55183, Indonesia

  • Deni Ainur Rokhim, SMAN 3 Sidoarjo, Jl. Dr. Wahidin No.130, Sidoarjo, 61215, Indonesia

    Department of Chemistry, Faculty of Mathematics and Natural Sciences, Universitas Negeri Malang, Jl. Semarang No.5, Malang, 65145, Indonesia

  • Suharti Suharti, Department of Chemistry, Faculty of Mathematics and Natural Sciences, Universitas Negeri Malang, Jl. Semarang No.5, Malang, 65145, Indonesia

    Laboratory of Minerals and Advanced Materials, Faculty of Mathematics and Natural Sciences, Universitas Negeri Malang, Jl. Semarang No.5, Malang, 65145, Indonesia

  • Surjani Wonorahardjo, Department of Chemistry, Faculty of Mathematics and Natural Sciences, Universitas Negeri Malang, Jl. Semarang No.5, Malang, 65145, Indonesia

    Laboratory of Minerals and Advanced Materials, Faculty of Mathematics and Natural Sciences, Universitas Negeri Malang, Jl. Semarang No.5, Malang, 65145, Indonesia

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Published

2026-10-10