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Development and Validation of a Kit to Measure Drink Antioxidant Capacity Using a Novel Colorimeter

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Development and Validation of a Kit to Measure Drink Antioxidant Capacity Using a Novel Colorimeter

Alexandros Priftis et al. Molecules.

Abstract

Measuring the antioxidant capacity of foods is essential, as a means of quality control to ensure that the final product reaching the consumer will be of high standards. Despite the already existing assays with which the antioxidant activity is estimated, new, faster and low cost methods are always sought. Therefore, we have developed a novel colorimeter and combined it with a slightly modified DPPH assay, thus creating a kit that can assess the antioxidant capacity of liquids (e.g., different types of coffee, beer, wine, juices) in a quite fast and low cost manner. The accuracy of the colorimeter was ensured by comparing it to a fully validated Hitachi U-1900 spectrophotometer, and a coefficient was calculated to eliminate the observed differences. In addition, a new, user friendly software was developed, in order to render the procedure as easy as possible, while allowing a central monitoring of the obtained results. Overall, a novel kit was developed, with which the antioxidant activity of liquids can be measured, firstly to ensure their quality and secondly to assess the amount of antioxidants consumed with the respective food.

Keywords: DPPH; antioxidant; beverage; colorimeter; drink; kit; quality control.

Conflict of interest statement

The authors declare no conflict of interest.

Figures

Figure 1
Figure 1
Comparison between the colorimeter and the Hitachi U-1900 spectrophotometer. The graph depicts the correlation between the observed RSC% (or inhibition, inh) from either the colorimeter (inhCOLOR, x axis) or the spectrophotometer (inhSPECT, y axis). The inhibition levels for each quantity are taken as averages over 17 samples measured three times each (Table 1). The error bars represent SD. The resulting equation of the regression line is inhSPECT% = inhCOLOR% X 0.84170.4789 and the R2 measure is 0.9988.

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References

    1. Schieber M., Chandel N.S. ROS function in redox signaling and oxidative stress. Curr. Biol. 2014;24:453–462. doi: 10.1016/j.cub.2014.03.034. - DOI - PMC - PubMed
    1. Ray P.D., Huang B.W., Tsuji Y. Reactive oxygen species (ROS) homeostasis and redox regulation in cellular signaling. Cell Signal. 2012;24:981–990. doi: 10.1016/j.cellsig.2012.01.008. - DOI - PMC - PubMed
    1. Apel K., Hirt H. Reactive oxygen species: metabolism, oxidative stress, and signal transduction. Annu. Rev. Plant Biol. 2004;55:373–399. doi: 10.1146/annurev.arplant.55.031903.141701. - DOI - PubMed
    1. Rahal A., Kumar A., Singh V., Yadav B., Tiwari R., Chakraborty S., Dhama K. Oxidative stress, prooxidants, and antioxidants: The interplay. BioMed Res. Int. 2014 doi: 10.1155/2014/761264. - DOI - PMC - PubMed
    1. Sosa V., Moliné T., Somoza R., Paciucci R., Kondoh H., LLeonart M.E. Oxidative stress and cancer: An overview. Ageing Res. Rev. 2013;12:376–390. doi: 10.1016/j.arr.2012.10.004. - DOI - PubMed

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