Camurati Julieta R, Londonio Agustín, Smichowski Patricia, Salomone Vanesa N
Instituto de Investigación e Ingeniería Ambiental-IIIA, UNSAM, CONICET, 3iA, Campus Miguelete, 25 de mayo y Francia, 1650-San Martín, Provincia de Buenos Aires, Argentina.
Instituto de Investigación e Ingeniería Ambiental-IIIA, UNSAM, CONICET, 3iA, Campus Miguelete, 25 de mayo y Francia, 1650-San Martín, Provincia de Buenos Aires, Argentina; Comisión Nacional de Energía Atómica, Gerencia Química, Av. Gral Paz 1499, B1650KNA San Martín, Buenos Aires, Argentina.
Food Chem. 2021 Sep 30;357:129725. doi: 10.1016/j.foodchem.2021.129725. Epub 2021 Apr 5.
Arsenic speciation analysis in dried seaweeds was carried out using an on-line HPLC-UV-thermo-oxidation-HG-AFS system. Species separated and quantified were: arsenite [As(III)], arsenate [As(V)], monomethylarsonic acid (MMA), dimethylarsinic acid (DMA) and different arsenosugars. Extraction efficiency ranged between 38 and 83%. Chromatographic separation was achieved in gradient elution mode using (NH)CO as mobile phase in the pH range 9-10.3. Total As concentration was quantified by ICP-MS after microwave digestion. Limits of detection were in the range 3.0 to 6.0 ng g for the species under study based on peak height and the relative standard deviation was <8% at 10 µg L As. The accuracy of the procedure was verified by analyzing the CRM BCR-279 Ulva lactuca. Results for total As were in agreement with the certified values. The HPLC-(UV)-HG-AFS system resulted suitable for quantification of eight As compounds. Results showed that arsenosugars are the most abundant compounds in the investigated seaweeds.
采用在线高效液相色谱-紫外-热氧化-氢化物发生-原子荧光光谱法（HPLC-UV-thermo-oxidation-HG-AFS）对干燥海藻中的砷形态进行分析。分离并定量的形态有：亚砷酸盐[As(III)]、砷酸盐[As(V)]、一甲基砷酸（MMA）、二甲基砷酸（DMA）以及不同的砷糖。提取效率在38%至83%之间。使用(NH)CO作为流动相，在pH值9 - 10.3范围内以梯度洗脱模式实现色谱分离。微波消解后，通过电感耦合等离子体质谱法（ICP-MS）对总砷浓度进行定量。基于峰高，所研究形态的检测限在3.0至6.0 ng g范围内，在10 μg L As时相对标准偏差<8%。通过分析标准物质CRM BCR-279石莼验证了该方法的准确性。总砷结果与认定值一致。HPLC-(UV)-HG-AFS系统适用于八种砷化合物的定量分析。结果表明，砷糖是所研究海藻中含量最丰富的化合物。
