RESUMEN
Nowadays the enzymatic approaches are the most promising strategies for mycotoxins detoxification in food stuffs. Herein, the dye-decolorizing peroxidase RhDypB from Rhodococcus jostii was studied for its ability to degrade two mycotoxins in both free and the immobilized enzyme forms. This enzyme was recombinantly expressed and purified, while Fe3O4 nanoparticles were prepared and modified with chitosan as the immobilization carrier. The immobilized enzyme Fe3O4@CS@RhDypB demonstrated degradation rate of 85.61 % toward aflatoxin B1, while it was firstly found to be able to degrade zearalenone with the rate of 86.52 %, at pH 4.0 on 30 °C. The degradation products were identified as aflatoxin Q1 and 15-OH-ZEN respectively. After 5 cycles of reuse, Fe3O4@CS@RhDypB still exhibited degradation rates of 38.50 % and 49.76 % toward the mycotoxins, indicating its high reusability. Moreover, Fe3O4@CS@RhDypB exhibited excellent stability after 10 days of storage. This work identified potential applications of nanoparticle-immobilized enzyme for biodegradation of mycotoxins in food industry.
RESUMEN
In this study, the one-step switchable hydrophilic solvent (SHS)-based effervescence tablet microextraction (ETME) was coupled with smartphone digital image colorimetry (SDIC) for the field detection of nickel ion (Ni2+) for the first time. Both extractant and CO2 were generated in situ when the novel SHS-based effervescence tablet was placed in the sample solution. The complexant 1-(2-pyridinylazo)-2-naphthaleno (PAN) dissolved from the effervescence tablet to form a stable complex with Ni2+, and the extractant was uniformly dispersed in the sample solution under the action of CO2 and fully in contact with Ni-PAN, which enabled efficient extraction of Ni2+. The color changes of the extraction phase were captured by smartphone, then a quantitative relationship between the concentrations of Ni2+ and color intensity of images captured using a smartphone was established by customized applet WASDIC, which realized quantitative analysis of Ni2+ in different samples. Under optimal conditions, the enhancement factor (EF) of the proposed method was 65.1, the limit of detection (LOD) and limit of quantification (LOQ) were 1.69 and 5.64 µg L-1, respectively. The developed method was successfully applied to the detection of trace Ni2+ in the environmental samples and natural medicines. And the applicability of the method for use in field analysis was validated.