Assessing the microcystins concentration through optimized protein phosphatase inhibition assay in environmental

Kyoung-Hee Oh1, Kung-Min Beak1, Yuna Shin2

  • 1Department of Environmental Engineering, Chungbuk National University, Cheongju, 28644, Republic of Korea.

Insights

Optimizing the protein phosphatase inhibition assay (PPIA) for microcystin (MC) detection involves finding the best reaction terminator and methanol concentration. This enhanced method allows for continuous monitoring of MCs in drinking water.

Area of Science:

  • Environmental Chemistry
  • Analytical Chemistry
  • Biochemistry

Background:

  • Protein phosphatase inhibition assay (PPIA) is a common method for quantifying microcystins (MCs).
  • Optimization is needed to improve the assay's sensitivity and applicability for real-world samples.
  • Current methods may require extensive sample pretreatment.

Purpose of the Study:

  • To optimize the PPIA by identifying optimal reaction terminators and methanol concentrations.
  • To establish a sensitive and feasible method for continuous microcystin monitoring in drinking water.

Main Methods:

  • Investigated various reaction terminators (copper chloride, glycine buffer) for PPIA.
  • Determined optimal methanol concentrations and reaction times (90 min).
  • Compared assay performance using different substrates (p-nitrophenyl phosphate - pNPP, 4-methylumbelliferyl phosphate - MUP) and enzyme (PPase 1).

Main Results:

  • Glycine buffer enhanced sensitivity and terminated the reaction when MUP was used as a substrate.
  • Copper chloride was a suitable terminator when pNPP was used.
  • The optimized method achieved a limit of quantitation of 0.02 µg/L for MC-leucine/arginine (LR) using PPase 1 and MUP.
  • Methanol concentration of 15% or less was optimal.

Conclusions:

  • The optimized PPIA method allows for direct measurement of MC-LR without pretreatment.
  • This method is suitable and feasible for continuous monitoring of microcystins in drinking water.
  • The study provides a refined protocol for sensitive and efficient MC analysis.

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