Chukwu Kelechi B, Abafe Ovokeroye A, Amoako Daniel G, Essack Sabiha Y, Abia Akebe L K
Antimicrobial Research Unit, College of Health Sciences, University of KwaZulu-Natal, Durban 4000, South Africa.
Residue Laboratory, Agricultural Research Council-Onderstepoort Veterinary Research Campus, Onderstepoort 0110, South Africa.
Antibiotics (Basel). 2023 Jul 9;12(7):1166. doi: 10.3390/antibiotics12071166.
Although the rise in antimicrobial resistance has been attributed mainly to the extensive and indiscriminate use of antimicrobials such as antibiotics and biocides in humans, animals and on plants, studies investigating the impact of this use on water environments in Africa are minimal. This study quantified selected antibiotics, heavy metals, and biocides in an urban wastewater treatment plant (WWTP) and its receiving water body in Kwazulu-Natal, South Africa, in the context of the predicted no-effect concentrations (PNEC) for the selection of antimicrobial resistance (AMR). Water samples were collected from the WWTP effluent discharge point and upstream and downstream from this point. Heavy metals were identified and quantified using the United States Environmental Protection Agency (US EPA) method 200.7. Biocides and antibiotic residues were determined using validated ultra-high-performance liquid chromatography with tandem mass spectrometry-based methods. The overall highest mean antibiotic, metal and biocide concentrations were observed for sulfamethoxazole (286.180 µg/L), neodymium (Nd; 27.734 mg/L), and benzalkonium chloride (BAC 12) (7.805 µg/L), respectively. In decreasing order per sampling site, the pollutant concentrations were effluent > downstream > upstream. This implies that the WWTP significantly contributed to the observed pollution in the receiving water. Furthermore, most of the pollutants measured recorded values exceeding the recommended predicted no-effect concentration (PNEC) values, suggesting that the microbes in such water environments were at risk of developing resistance due to the selection pressure exerted by these antimicrobials. Further studies are required to establish such a relationship.
尽管抗菌药物耐药性的上升主要归因于人类、动物和植物中抗生素和杀菌剂等抗菌药物的广泛和滥用,但关于这种使用对非洲水环境影响的研究却很少。本研究在预测无效应浓度(PNEC)的背景下,对南非夸祖鲁-纳塔尔省一座城市污水处理厂(WWTP)及其受纳水体中的选定抗生素、重金属和杀菌剂进行了量化,以选择抗菌药物耐药性(AMR)。从污水处理厂的废水排放点以及该点的上游和下游采集水样。使用美国环境保护局(US EPA)方法200.7鉴定和量化重金属。使用经过验证的基于超高效液相色谱-串联质谱的方法测定杀菌剂和抗生素残留。观察到的磺胺甲恶唑(286.180 µg/L)、钕(Nd;27.734 mg/L)和苯扎氯铵(BAC 12)(7.805 µg/L)的平均抗生素、金属和杀菌剂浓度总体最高。按每个采样点从高到低的顺序,污染物浓度为:废水>下游>上游。这意味着污水处理厂对受纳水体中观察到的污染有显著贡献。此外,所测的大多数污染物记录值超过了推荐的预测无效应浓度(PNEC)值,这表明由于这些抗菌药物施加的选择压力,此类水环境中的微生物有产生耐药性的风险。需要进一步的研究来确定这种关系。