A NOVEL METHOD FOR HEAVY METALS DETERMINATION IN AEROBIOLOGICAL SAMPLES

ESCUDERO DR; MARIO F. MOYANO

San Luis

Congreso; XXXVII Reunión Científica Anual Sociedad de Biología de Cuyo; 2019

Sociedad de Biología de Cuyo

Atmospheric air carries a big number of particles and environmental pollutants coming from anthropogenic activities, to which people are exposed. Metal pollution has been increasing rapidly over the past century in relation to the growth of human population contaminants production. Thus, aero particles such as pollen grains may contain various trace elements, and their amounts vary from one species to another. They can present traces of metals such as lead (Pb), barium (Ba) and manganese (Mn), which are among the most common air and soil contaminants, and they are considered toxic to living beings. In the present work, we propose a simple and fast method for the multielemental determination of traces in aerobiological samples. The sample of aeroparticles was obtained with a volumetric Lanzoni sensor, which is located on the terrace of the National University of San Luis. This device allows the capture of particles suspended in the air with a week periodicity, and with a suction flow of 10 L of air min-1, similar to the volume of air inhaled by the human lung. The pollen content was analyzed during three months with continuous aerobiological sampling, in the atmosphere of the San Luis city, Argentina. Aerobiological samples were observed and readied with an optical microscope at 400 X and they were identified through palynological atlases and with the palynotheque belonging to Aerobiology´s laboratory. For multielement determination, a mass spectrometer with inductively coupled plasma (ICP-MS) was used. The aeroparticle samples were subjected to acid digestion at 90 °C for one hour. The conditions of analytical determination were optimized. The nebulizer gas flow used was 0.85 l min-1 and the RF power was 1200 W. The pollination period studied was from February to April of 2019. Comparatively with others pollen types, Chenopodiaceae and Artemisia were the most abundant in the atmosphere of San Luis during the analysis period. Linear regression models were used to analyze the metals vs. pollen content. Positive associations were found between Mn and Chenopodiaceae (r=0.86, P=0.0015). In the same sense it was observed positive associations between Pb and Chenopodiaceae (r=0.78, P=0.0026).