de Melo Moacir Guimarães, Dos Anjos Otorvan Conrado, Nunes Andreza Pinheiro, Farias Marco Antônio Dos Santos, Val Adalberto Luis, Chaar Jamal da Silva, Bataglion Giovana Anceski
Department of Chemistry, Institute of Exact Sciences, Federal University of Amazonas (UFAM), General Rodrigo Octavio Avenue, 6200, Coroado, Manaus, AM, Brazil.
Departamento de Tecnologia Agroindustrial e Socioeconomia Rural (DTAiSeR), Federal University of São Carlos (UFSCar), Rodovia Anhanguera, Km 174, Araras, SP, Brazil.
Chemosphere. 2023 Jun;326:138365. doi: 10.1016/j.chemosphere.2023.138365. Epub 2023 Mar 9.
The evaluation of contamination by domestic sewage is relevant in the Amazon region; however, it has neither been well-developed nor accompanied by research or monitoring programs. In this study, caffeine and coprostanol as indicators of sewage were investigated in water samples from Amazonian water bodies that crisscross the city of Manaus (Amazonas state, Brazil) and cover regions with distinct main land uses such as high-density residential, low-density residential, commercial, industrial, and environmental protection areas. Thirty-one water samples were studied based on their dissolved and particulate organic matter (DOM and POM) fractions. Quantitative determination of both caffeine and coprostanol was carried out using LC-MS/MS with APCI in the positive ionization mode. The streams of the urban area of Manaus had the highest concentrations of caffeine (1.47-69.65 μg L) and coprostanol (2.88-46.92 μg L). Samples from the peri-urban Tarumã-Açu stream and from the streams in the Adolpho Ducke Forest Reserve showed much lower concentrations of caffeine (20.20-165.78 ng L) and coprostanol (31.49-120.44 ng L). Samples from the Negro River showed a wider range of concentrations of caffeine (20.59-873.59 ng L) and coprostanol (31.72-706.46 ng L), with the highest values found in the outfalls of the urban streams. Levels of caffeine and coprostanol were significantly positively correlated in the different organic matter fractions. The coprostanol/(coprostanol + cholestanol) ratio proved to be a more suitable parameter than the coprostanol/cholesterol one in low-density residential areas. Proximity to densely populated areas and the flow of water bodies appear to influence the caffeine and coprostanol concentrations, which was observed in their clustering in the multivariate analysis. The results indicate that caffeine and coprostanol can be detected even in water bodies that receive very low domestic sewage input. Therefore, this study revealed that both caffeine in DOM and coprostanol in POM represent viable alternatives for use in studies and monitoring programs even in remote areas of the Amazon, where microbiological analyses are often unfeasible.
评估生活污水造成的污染在亚马逊地区具有重要意义;然而,这方面的研究既不完善,也缺乏相关研究或监测项目的支持。在本研究中,以咖啡因和粪甾烷醇作为污水指标,对横穿巴西亚马孙州玛瑙斯市、覆盖高密度住宅、低密度住宅、商业、工业和环境保护区等不同主要土地利用类型区域的亚马孙水体水样进行了调查。基于溶解有机物和颗粒有机物(DOM和POM)组分,对31个水样进行了研究。采用液相色谱-串联质谱法(LC-MS/MS),在正离子模式下通过大气压化学电离(APCI)对咖啡因和粪甾烷醇进行定量测定。玛瑙斯市区溪流中的咖啡因(1.47 - 69.65 μg/L)和粪甾烷醇(2.88 - 46.92 μg/L)浓度最高。来自城郊塔鲁马-阿苏溪流以及阿道夫·杜克森林保护区溪流的样本中,咖啡因(20.20 - 165.78 ng/L)和粪甾烷醇(31.49 - 120.44 ng/L)浓度要低得多。内格罗河的样本中,咖啡因(20.59 - 873.59 ng/L)和粪甾烷醇(31.72 - 706.46 ng/L)浓度范围更广,最高值出现在城市溪流的排水口处。在不同的有机物组分中,咖啡因和粪甾烷醇的含量呈显著正相关。在低密度住宅区,粪甾烷醇/(粪甾烷醇 + 胆甾烷醇)比值被证明是比粪甾烷醇/胆固醇比值更合适的参数。靠近人口密集地区以及水体的水流情况似乎会影响咖啡因和粪甾烷醇的浓度,这在多变量分析中的聚类情况中得到了体现。结果表明,即使在生活污水输入量极低 的水体中也能检测到咖啡因和粪甾烷醇。因此,本研究表明,DOM中的咖啡因和POM中的粪甾烷醇即使在亚马孙偏远地区也可作为可行的替代指标用于研究和监测项目,而在这些地区微生物分析往往不可行。