Abstract

Comparison of the effects of metal oxide nanoparticles (NPs; CuO, NiO, ZnO, TiO2, and Al2O3) on different bioluminescence processes was evaluated using two recombinant (Pm-lux and Pu-lux) strains of Pseudomonas putida mt-2 with same inducer exposure. Different sensitivities and responses were observed according to the type of NPs and recombinant strains. EC50 values were determined. The negative effects on the bioluminescence activity of the Pm-lux strain was greater than for the Pu-lux strains for all NPs tested. EC50 values for the Pm-lux strain were 1.7- to 6.2-fold lower (corresponding to high inhibition) than for Pu-lux. ZnO NP caused the greatest inhibition among the tested NPs in both strains, showing approximately 11 times less EC50s of CuO, which appeared as the least inhibited. Although NPs showed different sensitivities depending on the bioluminescence process, similar orders of EC50s for both strains were observed as follows: ZnO > NiO, Al2O3 > TiO2 > CuO. More detailed in-depth systematic approaches, including in the field of molecular mechanisms, is needed to evaluate the accurate effect mechanisms involved in both bioluminescence metabolic processes.

Highlights

  • Petroleum-based hydrocarbons are an important source of energy and are used as raw materials for the production of various organic compounds, but they are becoming some of the most important and common pollutants in ecosystems [1,2,3]

  • Methods using the activity of whole cell, specific enzymes, and intact or recombinant gene expression have been adopted for assessing the environmental pollutants by regulatory and monitoring agencies because they are simple, rapid, and low cost

  • We compare the effects of NPs on the bioluminescence processes of these two different recombinant strains, which were controlled by different regulatory proteins, while they are induced with o-CT

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Summary

Introduction

Petroleum-based hydrocarbons are an important source of energy and are used as raw materials for the production of various organic compounds, but they are becoming some of the most important and common pollutants in ecosystems [1,2,3]. Methods using the activity of whole cell, specific enzymes, and intact or recombinant gene expression have been adopted for assessing the environmental pollutants by regulatory and monitoring agencies because they are simple, rapid, and low cost. These can be used for preliminary assessment and proper complementary approaches for interpretation of the chemical and physical analysis [4,9].

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