Patent method for the extraction and determination of micro- and nano- plastics in organic and inorganic matrix samples: An application on vegetals

The uncontrolled introduction into the environment of plastic polymers have caused the dispersion of plastic debries, known as microplastics (MPs), that represent an important topic for environmental and human health threats. So far, the absence of effective and efficient extraction methods of MPs (especially for plastic particles with diameters inferior than 10 µm) from complex matrices (water, food, etc.) did not allow to perform the risk estimation and, the consequent assessment of the health impact associated with the exposure to these emergent contaminants. In this paper, a new patented method for the extraction and determination of micro- and nano-plastics in organic and inorganic matrix samples is reported. The method applied in the study has been nationally and internationally protected. The code of the submitted request of international patent's extension in several country of world is PCT/IB2019/051,838 of 7 March 2019, coupled with the accepted Italian patent n. 102,018,000,003,337 of March 7 of 2018 entitled “Method for extraction and determination of microplastics in samples with organic and inorganic matrices”. The method applied to our study is based on sedimentation of the particles with density higher than 1 g/cm(3). The method can be applied to organic and inorganic samples as water, food, soil, waste, air, biological sample (blood, urine, tissues, etc.). After acid digestion of sample matrix, MPs are recovered by sedimentation in dichloromethane and then they are dispersed in metallic stub. Analysis is performed by SEM-EDX. • New method for the extraction and determination of total microplastics <10 µm. • The method is based on the sedimentation of particles with density higher than 1 g/cm(3). • The method can be applied to organic (food, soil, biological sample, etc..) and inorganic samples. • Total micro- and nano-plastics quantification is performed by SEM-EDX.