Yang Changqing, Wang Longxing, Hou Xiaohong, Chen Jiping
Shenyang Pharmaceutical University, Shenyang 110016, China.
Se Pu. 2012 Aug;30(8):756-62. doi: 10.3724/sp.j.1123.2012.03059.
The detection of the pollution level of antibiotics in Daliao River system is a meaningful work. Sixteen antibiotics (6 sulfonamides, 5 fluoroquinolones, 3 tetracyclines and 2 chloramphenicols) were simultaneously quantified with solid-phase extraction (SPE) and liquid chromatography-tandem mass spectrometry (LC-MS/MS). In the SPE procedure, methanol and 2% (v/v) ammonia/methanol were used as the elution solvents in sequence to reduce the elution volume and improve the recovery. The results showed that this method have good sensitivity and enrichment effect for the target antibiotics in aqueous water, the recoveries ranged from 69.5% to 122.6%, the detection limits ranged from 0.05 ng/L to 0.32 ng/L. Thirteen antibiotics were found in the river water of Daliao River water system. Sulfa antibiotics were widely distributed, in which sulfamethoxazole was detected in all the sampling sites. The concentration of fluoroquinolones was relatively high in some sampling sites. The highest detection concentration of enoxacin was 41.3 ng/L. The frequencies and concentrations of tetracyclines and chloramphenicols were lower. In the upper reaches of the river, the concentrations of the 4 types of antibiotics appeared lower, but around the large cities such as Shenyang City, Benxi City, Liaoyang City, the concentrations showed higher levels. The study indicated that the Daliao River water system suffered from the pollution of antibiotics to a certain extent.
辽河水系抗生素污染水平的检测是一项有意义的工作。采用固相萃取(SPE)和液相色谱 - 串联质谱(LC-MS/MS)同时对16种抗生素(6种磺胺类、5种氟喹诺酮类、3种四环素类和2种氯霉素类)进行定量分析。在固相萃取过程中,依次使用甲醇和2%(v/v)氨/甲醇作为洗脱溶剂,以减少洗脱体积并提高回收率。结果表明,该方法对水体中目标抗生素具有良好的灵敏度和富集效果,回收率在69.5%至122.6%之间,检测限在0.05 ng/L至0.32 ng/L之间。在辽河水系的河水中检测到13种抗生素。磺胺类抗生素分布广泛,所有采样点均检测到磺胺甲恶唑。部分采样点氟喹诺酮类抗生素浓度相对较高,其中恩诺沙星的最高检测浓度为41.3 ng/L。四环素类和氯霉素类抗生素的检出频率和浓度较低。河流上游4种抗生素的浓度较低,但在沈阳市、本溪市、辽阳市等大城市周边,浓度较高。研究表明,辽河水系受到了一定程度的抗生素污染。