Lvova L, Guanais Gonçalves C, Petropoulos K, Micheli L, Volpe G, Kirsanov D, Legin A, Viaggiu E, Congestri R, Guzzella L, Pozzoni F, Palleschi G, Di Natale C, Paolesse R
Department of Chemical Science and Technologies, University "Tor Vergata", Rome, Italy; Laboratory of artificial sensory systems, ITMO University, St. Petersburg, Russia.
Department of Chemical Science and Technologies, University "Tor Vergata", Rome, Italy.
Biosens Bioelectron. 2016 Jun 15;80:154-160. doi: 10.1016/j.bios.2016.01.050. Epub 2016 Jan 20.
The potentiometric E-tongue system was employed for water toxicity estimation in terms of cyanobacterial microcystin toxins (MCs) detection. The data obtained from E-tongue were correlated to the MCs content detected by the standard chromatographic technique UHPLC-DAD (Ultra High Performance Liquid Chromatography with Diode Array Detector), as far as by the colorimetric enzymatic approach. The prediction of MCs released by toxic Microcystis aeruginosa strains was possible with Root Mean Squared Error of Validation (RMSEV) lower or very close to 1µg/L, the provisional guideline value of WHO for MCs content in potable waters. The application of E-tongue system opens up a new perspective offset for fast and inexpensive analysis in the field of environmental monitoring, offering also the possibility to distinguish toxin producing and non-toxic M. aeruginosa strains present in potable water.
电位型电子舌系统用于根据蓝藻微囊藻毒素(MCs)的检测来评估水的毒性。从电子舌获得的数据与通过标准色谱技术超高效液相色谱-二极管阵列检测器(UHPLC-DAD)以及比色酶法检测到的MCs含量相关。对于有毒铜绿微囊藻菌株释放的MCs,验证均方根误差(RMSEV)低于或非常接近1μg/L(这是世界卫生组织对饮用水中MCs含量的临时指导值)时,就能够进行预测。电子舌系统的应用为环境监测领域的快速且低成本分析开辟了新的前景,还提供了区分饮用水中产生毒素的铜绿微囊藻菌株和无毒菌株的可能性。