Next Article in Journal
Pap Testing in a High-Income Country with Suboptimal Compliance Levels: A Survey on Acceptance Factors among Sicilian Women
Next Article in Special Issue
Pollution Characteristics and Human Health Risks of Elements in Road Dust in Changchun, China
Previous Article in Journal
An Assessment of the Relationships between Extreme Weather Events, Vulnerability, and the Impacts on Human Wellbeing in Latin America
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Distribution Characteristics and Ecological Risk Assessment of Tetracyclines Pollution in the Weihe River, China

1
Key Laboratory of Subsurface Hydrology and Ecological Effects in Arid Region, Ministry of Education, Chang’an University, Xi’an 710054, China
2
Xi’an Center of Geological Survey, China Geological Survey, Xi’an 710054, China
*
Author to whom correspondence should be addressed.
Int. J. Environ. Res. Public Health 2018, 15(9), 1803; https://0-doi-org.brum.beds.ac.uk/10.3390/ijerph15091803
Submission received: 29 June 2018 / Revised: 8 August 2018 / Accepted: 16 August 2018 / Published: 22 August 2018
(This article belongs to the Special Issue Frontiers in Environmental Biogeochemistry)

Abstract

:
To examine the residual and distributions of tetracycline antibiotics in the Weihe River, SPE-UPLC (solid phase extraction-ultra performance liquid chromatography with UV-Vis detection) was employed to analyze the oxytetracycline (OTC), chlortetracycline (CTC), and minocycline (MC) of 41 surface water and 35 sediment samples collected from main streams, tributaries, and main sewage outlets. The results showed that: (1) The order of residual levels of tetracycline antibiotics in water and sediment from high to low was the following: OTC > CTC > MC., considering the water solubilities are 313 mg/L, 630 mg/L, and 50200mg/L and octanol water partition coefficients (Kow) are 7.94, 4.16, and 1.12 for OTC, CTC, and MC, respectively. Thus, the distribution of antibiotics was not only related to the basic properties of antibiotics, but also some environmental factors. The concentrations of OTC in water and sediment were in the range of 1.56–87.89 ng/L and 6.13–45.38 ng/g (mean value of 16.13 ng/L and 20.60 ng/g), respectively; while CTC was 1.07–26.78 ng/L and 6.17–32.29 ng/g (mean value of 4.96 ng/L and 14.48 ng/g), respectively; and MC was 0.28–12.35 ng/L and 4.80–29.74 ng/g (mean value of 1.70 ng/L and 12.96 ng/g), respectively. There were maximum concentrations in all sewage outlets. Compared with other areas in China, tetracyclines residual in the Weihe river were at a medium level; (2) in spatial distribution, the levels of tetracyclines in water and sediment from the middle and upper reaches were higher than the lower reaches. Meanwhile, the sewage outfalls and livestock farm waste water discharge appeared to be the main sources of tetracycline antibiotics in the Weihe River; (3) ecological risk assessment revealed that in main streams and tributaries, OTC and CTC may be at a low ecological risk level; while in sewage outfalls, they may represent a medium ecological risk level.

1. Introduction

Antibiotics can selectively impair or influence the function of other organisms at low concentrations [1]. Antibiotics are an important pollutant in water [2]. China is the largest producer and user of antibiotics in the world. Based on the survey, the total usage for the 36 chemicals was 92700 tons in 2013, and eventually, 53800 tons of them entered into the environment [3]. Because antibiotics were not completely degraded by organism metabolism, 25–75% in the form of a matrix or its metabolic product were released out of the body to the environment, which posed a serious threat to the ecological environment and human health [4].
Tetracyclines (TCs) are considered as one of the most widely used antibiotics because of their advantages of a broad spectrum, high quality, and low price [5]. In recent years, scholars have paid much attention to the residue of TCs in water and sediment in China. Jiang et al. (2014) studied 16 kinds of antibiotics in water and sediment of Wangyang River, Anhui Province [6]. The results showed that the concentrations of oxytetracycline and chlortetracycline in water were as high as 3.6 × 105 ng/L and 6.9 × 104 ng/L, respectively, and the concentrations of oxytetracycline in sediment were 1.6 × 105 ng/g. Xu et al. (2014) found that the concentrations of oxytetracycline and chlortetracycline in Taihu Lake were 44.2ng/L and 69.7ng/L, respectively [7]. Chen et al. (2015) detected high concentrations of TCS in the South Gulf region, and they found that oxytetracycline may pose a high risk to aquatic organisms [8]. A national reconnaissance of 139 streams in the USA showed that the maximum detected concentration of oxytetracycline is 340 ng/L [9]. A study that monitored the veterinary medicines in water bodies in the UK reported that OTC is present at maximum concentrations of 4490 ng/L in the surface water environment [10]. Therefore, it is of great significance to study the contents, spatial distribution, and ecological risk of TCs in water and sediment in densely populated areas.
The Weihe River, as the largest tributary of the Yellow River, mainly flows through Tianshui, Baoji, Xianyang, Xi’an, and Weinan areas in China. The region is well developed in industry and agriculture. Therefore, the pollution of organochlorine pesticides and heavy metal pollution in the Weihe River has attracted much attention [11,12]. Despite the long-term use of antibiotics in the region, there are few reports on the pollution situation of the soil and water environment. Therefore, the objectives of this study were to: (1) investigate the occurrence of three kinds of antibiotics in water and sediment in the Weihe River; (2) evaluate the spatial distribution and the sources of the antibiotics based on the correlations between environmental variables and antibiotic concentrations; (3) assess the ecologic risk of the antibiotics to the aquatic organisms according to the calculated risk quotients (RQs).

2. Materials and Methods

2.1. Instruments and Reagents

Oxytetracycline (OTC), chlortetracycline (CTC), and minocycline (MC) were purchased from Sigma Company. The methanol, acetonitrile, and oxalic acid used were High Performance Liquid Chromatography (HPLC) grade. All other reagents used were analytical grade purchased from Tianjin Kemiou Chemical Reagent Co., China.

2.2. Study Area and Sample Collection

The Weihe River is a river in west-central China and is the largest tributary of the Yellow River. The source of the River is close to Weiyuan county in Gansu province. The Guanzhong section of the Weihe River flows through cities such as Baoji, Yangling, Xianyang, Xi’an, and Weinan. It finally merges into the Yellow River at Gangkou town, Tongguan county. The length of the river is 818 km and the area drained covers 135,000 km2. Because of the intensive human activities in the Guanzhong section, the pollution situation in this area is severely induced by the soil and water loss of farmland, as well as the discharge of industrial wastewater and domestic sewage, which have seriously influenced and restricted the sustainable development of the region.
We selected 41 sampling sites along the Weihe River and its tributaries in order to cover the whole aquatic system in this area (Figure 1). The sampling location’s latitudes ranged from 107°2′ to 110°17′ and longitudes ranged from 34°20′ to 34°41′, and detailed information of the sampling sites is presented in Table S1 (Supplementary materials). In this study, 1 L water samples were collected using a cleaned brown glass bottle and about 1 kg composite sediment samples (0–5 cm deep) were collected with a stainless-steel static gravity corer at every sampling site. In total, 41 water samples and 35 sediment samples were collected (some sampling sites cannot obtain sediment samples). All the equipment used for sample collection, transportation, and preparation was cleaned with purified water before every sampling to prevent tetracycline antibiotics contamination.

2.3. Sample Extraction and Analysis

The samples extraction and analysis technique followed the reported method of Xu and Wu [13], with some changes. Water samples (100 mL) were passed through the glass fiber membrane (0.45 μm) at a flow rate of 5 mL/min using a vacuum. All water samples were extracted and purified using a solid phase extraction (SPE) system. The Oasis HLB columns were first conditioned with 3 mL of methanol, and then 3 mL of deionized water (pH = 3), followed by 3 mL of methanol aqueous solution. Following extraction, the columns were eluted with 6 mL of methanol. Then, the extracts were concentrated to 1 mL by a rotary evaporator prior to HPLC analysis.
To make the samples more uniform and representative, all the sediment samples were freeze-dried, homogenized, and passed through a 150-μm sieve. EDTA buffer solution (20 mL, 0.1 mol/L) was added [14] to each sample (2 g) and the samples were then extracted by ultrasonic extraction for 10 min. Following this, a 10 mL aliquot of the supernatant was extracted by the same method employed for water samples indicated above.
A Waters ACQUITY Ultra Performance Liquid Chromatography (UPLC) H-Class with an ultraviolet/visible spectrophotometer detector and C18 1.7 mm 2.1 × 100 mm column was used for the quantification of OTC, CTC, and MC in solution. Column temperature was 40 ± 0.1 °C and sample 10 ± 0.1 °C. Injection volumes of 5 μL were used, where the mobile phase contained effluent A (0.01 mol/L oxalic acid): B (acetonitrile): C (methanol) = 70%: 15%: 15%, with a flow rate of 0.1 mL/min. OTC, CTC, and MC were all measured at 265 nm.

2.4. Quality Analysis and Quality Control

All analytical operations were conducted under strict quality control guidelines (ISO 5725). Procedural blank and spiked samples consisting of all reagents were run to check for interference and cross-contamination. Briefly, the spiking of the samples started at the beginning of the experiment, arbitrary duplicate water and sediment samples were chosen, one of the relevant water and sediment samples received a certain amount of three standard antibiotics, and other steps of the samples followed the samples analysis process described in 2.3. The limits of detection for three kinds of antibiotics were determined as analyte concentrations in a sample that gives rise to a peak with a signal-to-noise ratio (S/N) of 3. The method detection limits (MDLs) for three kinds of antibiotics in water were in the range of 0.12–0.27 ng/L. The spiked recoveries in water ranged from 79% to 113%. The MDLs for three kinds of antibiotics in sediment were in the range of 0.45–0.79 ng/g (dw). The spiked recoveries in sediment ranged from 62% to 92%. The relative standard deviation was 15–22% for water samples and 20–27.5% for sediments.

2.5. Risk Assessment Method

According to the European technical guidance document (TGD) on risks assessment [15], which can propose the ecological safety threshold of relevant pollutants and is also an important basis for the ecological risk assessment and management of these chemicals, the potential ecological risks of the detected antibiotics were assessed using the risk quotients (RQs) approach [16] and the RQS value was obtained by Equation (1).
  RQS   =   MEC PNEC  
where MEC is the measured environmental concentration, and PNEC is the predicted non-effect concentration for each contaminant. PNEC is the quotient of the lowest no-observed-effect concentration (NOEC) for the most sensitive species with an appropriate assessment factor (AF). Given the insufficient NOEC data for most compounds, PNEC was extrapolated from the acute toxicity data or chronic toxicity data of compounds through the division of an appropriate AF. The AFs of 100 and 1000 for chronic and acute toxicity were used [17] in the following equation:
  PNEC   = EC 50 ( LC 50 ) / 1000  
Or,
  PNEC   = chv / 100  
where EC50(LC50) and chv represent acute toxicity and chronic toxicity, respectively.
The RQ values for the target antibiotics calculated from PNEC were determined by the relevant most sensitive species [18]. To better distinguish the ecological risk levels, the RQ values were classified into three risk levels (0.01–0.1: low risk level; 0.1–1: medium risk level; >1: high risk level) [16].

3. Results and Discussion

3.1. Pollution Characteristics of TCs in the Weihe River

3.1.1. Pollution Characteristics of TCs in Water

The detailed concentrations of three antibiotics in water are listed in Table S3. The detectable rates of three kinds of tetracycline (OTC, CTC, and MC) in 41 water samples were 100%, indicating that this type of antibiotic is widely distributed in water of the Weihe River. As shown in Table 1, the detectable concentration of OTC in water was high, being within 1.56–87.89 ng/L, and the mean concentration was 16.13 ng/L. The highest concentration was observed at Dazhang Temple outlet (S11), which was located in the hoggery region in Yangping, Baoji. OTC was used as a veterinary drug and feed additive for cultivation. Due to the low absorbency of antibiotics in animals, considerable levels of OTC were likely excreted into the sewage stream, together with excrement and urine [4]. Compared with other waters in China, the OTC concentration was far lower than that in the Wangyang River [6], Huangpu River [19], Xiang River [20], and Taihu Lake [7]; higher than that in the Jiulongjiang Estuary [21], Boyang Lake [14], Bohai Gulf [22], and Changjiang Estuary [23]; and equal to the residual level observed in the intertidal zone of the Yellow River Delta [24]. The concentration range of CTC and MC was 1.07–26.78 ng/L and 0.28–12.35 ng/L, and the mean concentration was 4.96ng/L and 1.70 ng/L, respectively. The highest concentration point was near XianYang Iron Bridge (S25), which was located in the XianYang urban area and receives domestic sewage of citizens. This is consistent with the conclusion that high-concentration antibiotics for human use can usually be detected in domestic sewage as CTC and MC are used more for medication [25]. Thus, densely inhabited regions tend to be severely afflicted regions of antibiotics for human use. Compared with other waters, the residual concentration of CTC was lower than that in Taihu Lake [7] and Wangyang River [6], and higher than that in Boyang Lake [14], Changjiang Estuary [23], Huangpu River [19], and Xiang River [20]. Generally speaking, the residual of TCs in water of the Weihe River was at a medium level (Table 2). Among the three tetracyclines, the residual level of OTC was far higher than that of the other two, which indicated that OTC served as the main tetracyclines pollutants in water of the Weihe River, considering that the higher OTC concentration came from the mixture of sewage outlets of human domestic discharge and livestock farms (Dazhang Temple outlet (S11), Xingping Wastewater Treatment Plant (S19) and the outlets of Xianyang Iron Bridge (S25)), while only human domestic sewage discharge (S6, S28, S33, and S36) did not generate the obvious high increase of OTC concentration, so we speculated that the OTC source was mainly livestock farm discharge.

3.1.2. Pollution Characteristics of TCs in Sediment

The detailed concentrations of three antibiotics in sediment are listed in Table S3. The detectable rates of three tetracyclines (OTC, CTC, and MC) in sediment were 100%. As shown in Table 1, the concentration range was 6.13–45.38 ng/g, 6.17–32.29 ng/g, and 4.80–29.74 ng/g, and the mean concentration was 20.60 ng/g, 14.48 ng/g, and 12.96 ng/g, respectively. The highest concentration point occurred at Dazhang Temple outlet (S11), near the outlet of Baoji sewage treatment plant (S6) and outlet of Xingping sewage treatment plant (S19), which indicated that the residual level of TCs in sediment was largely influenced by TCs concentration in sewage at outlets. Compared with the TCs content in the sediment of other regions, the OTC level in sediment from the Weihe River was lower than that in Bohai Gulf [22], Wangyang River [6], and Tai Lake [7], and higher than that in Changjiang Estuary [23], Huangpu River [11], and Yellow River [26]. CTC content was lower than that in Tai Lake [7] and Wangyang River [6], and higher than Changjiang Estuary [23], Huangpu River [19], Hai River, and Liao River [26]. Thus, the general concentration of TCs in sediment from the Weihe River was at a medium level (Table 2). The order of the concentration in sediment was OTC> CTC> MC. This may be because of the strong adsorptivity of OTC in particulate matter and sediment. In addition, Liu et al. (2012) found that the degradation rate of CTC in the same type of soil is significantly that of OTC [27], which may be another reason for the relatively higher residual level of OTC in sediment.

3.2. Spatial Distribution Characteristics and Source Analysis of TCs in the Weihe River

3.2.1. Spatial Distribution Characteristics of TCs in Water

Figure 2a shows the distribution of three tetracyclines in main streams, tributaries, and sewage outlets of the Weihe River and their spatial variation trend. It was observed that the concentration of three tetracyclines in water was the same in the upper reaches, middle reaches, and lower reaches of main streams of the Weihe River or even tributaries, while the concentration at outlets was about three times higher than the average of main streams, suggesting that the sewage outlets are an important source for pollution of tetracyclines. This was consistent with the research result of Wen et al. for Daliao River [28]. In terms of river scale, the total concentration of tetracyclines (∑TCs = OTC + CTC + MC) gradually lowered from the upper reaches to the lower reaches. The concentration distribution of OTC and CTC was middle reaches > upper reaches > lower reaches, which may be because the middle reaches region of the Weihe River was located in the periphery of Xi’an urban area and the population was dense there, while the dense population unavoidably increased the use of antibiotics. Meanwhile, the developed open aquaculture increased the consumption of antibiotic OTC, leading to the accumulation of antibiotics that drained into the environment. The concentration distribution of MC was upper reaches > middle reaches > lower reaches, which may be because the particulate matter in lower reaches sediment became smaller, water velocity slowed down, and the adsorption of deposition for minocycline was enhanced. In addition, those three antibiotics concentrations at the upper or middle reaches were higher than the lower reaches, largely due to the fact that two large-scale tributaries, the Jing River and the Luo River, with remittance in the lower reaches area (Figure 1), displayed an obvious dilution effect for the contaminate. Of course, contrary to the upper or middle reaches area, the small population in the lower reaches can also obviously decrease the emitted antibiotics on the other hand.

3.2.2. Spatial Distribution Characteristics of TCs in Sediment

As shown in Figure 2b, the sum of three tetracyclines (OTC, CTC, and MC) in sediment from the upper reaches to lower reaches takes on the trend of a gradual decrease. This may be related to the development degree of agriculture, aquaculture, and concentration of the population along the Weihe River. The concentration distribution of OTC and CTC was middle reaches > upper reaches > lower reaches, and for MC, it was upper reaches > middle reaches > lower reaches. For the three tetracyclines, the concentration distribution in the middle reaches and upper reaches was higher than that in the lower reaches. As well as the properties of antibiotics, the residual of antibiotics in sediment was also influenced by environmental factors such as the ionic strength, temperature, TOC, and particle properties etc. [29]. For example, the concentrations of three antibiotics at S26 sampling sites were higher than those of S23. They are geographically close, while the concentrations were apparently discrepant, maybe because the particle size at S26 was smaller than S23, with the former fine sand content being 43.5% and the latter being 32.6%, so more fine sand content was more favorable for antibiotics adsorbed onto it. Furthermore, the middle reaches and upper reaches developed quickly and had a dense concentration of population, leading to a large consumption of antibiotics. Meanwhile, it likely that the large adsorptive capacity in middle reaches and upper reaches sediment and combined pollution of antibiotics and other pollutants in sediment resulted in a change of enzyme activity, thereby influencing the survival and development of microbes, which slowed down the degradation of antibiotics [30]. However, other combined pollutants in lower reaches suppressed the adsorption of antibiotics in sediment [31]. As a whole, the three tetracyclines showed similar distributional characteristics in sediment and water, except for MC. The differences yielded the properties divergence of MC with two other antibiotics, as well as the usage habit of the pharmaceuticals.

3.2.3. Source Analysis

The tributaries and sewage outlets are both sources of replenishment of water for main streams of the Weihe River and input sources of pollutants. As shown in Figure 3, the concentration residual of three tetracyclines (OTC, CTC, and MC) in tributaries was the same as that in main streams, while that at sewage outlets was far higher than that in main streams. Thus, in two input sources, the afflux of tributaries would not influence the residual level of tetracyclines in the Weihe River, while the high concentration TCs at sewage outlets would increase the residual in the Weihe River. Thus, it was conjectured that the sewage outlets may be an important input source of TCs in the Weihe River, which was similar to the research result of Chen [19] and Qin [28]. Meanwhile, it was observed from Table 1 that the OTC concentration in water was about 4.5 times the sum of CTC and MC concentration and was far higher than the residual of CTC and MC, which may be because OTCs were widely applied to medical treatment and used as an additive to promote animal growth, while the other two were more frequently used as therapeutic drugs with a consumption far lower than that of OTC. In addition, the typical higher concentrations of the three antibiotics were 69.86 ng/L for OTC, 26.78 ng/L for CTC, and 12.35 ng/L for MC (Table S3), exhibited at Dazhang Temple outlet (S11), which is the sewage outlet of a pig farm. Thus, the waste water from the livestock and poultry industry may also be an important source of TCs in water. The concentration difference among the three tetracyclines in sediment was smaller than that in water, which may be related to the degradation of antibiotics in sediment. Generally speaking, it can be assessed that the TCs in the Weihe River were mainly from waste water effluent from sewage outlets and surrounding livestock and poultry farms.

3.3. Ecological Risks Assessment of TCs in the Weihe River

The toxicity data of antibiotics for the most sensitive species is presented in Table 3, and the RQ values of TCs in main streams, tributaries, and sewage outlets calculated using the risk quotient method (no analysis on MCs due to a lack of toxicity data) is showed in Figure 3. It shows that all the samples of OTC and CTC can pose a medium or low risk to the relevant sensitive species (Pseudokirchneriella subcapitata and M. aeruginosa), while no high risk. In main streams, 37.5% of water samples of OTC posed a medium risk, while the rest posed a low risk. Only 6.25% of CTC in water samples caused a medium risk, and the rest were low risk. In tributaries, 38.8% and 22.2% of samples for OTC and CTC may create a medium risk level, whilst others may cause a low risk. In sewage outlets, all the samples of OTC, while 85.7% of CTC, may lead to a medium risk level.
The evaluation result showed that most of the samples of OTC and CTC may cause low risk in main streams and tributaries, and hence possessed a tiny influence on the ecological environment. At sewage outlets, most of the sample points for OTC and CTC may cause a medium risk, indicating that the ecological risk of TCs at sewage outlets was relatively high. The residual antibiotics in water may have a certain acute or chronic toxic effect on the aquatic lives, and the long-term residual of antibiotics may also stimulate the pathogenic bacteria to produce drug resistance, which is destined to influence the original stable ecosystem [32]. Harrison et al. [33] also reported that the large usage of antibiotics in the breeding industry may cause resistant genes in livestock, poultry, and fish, and even cause harm to human health by the excessive intake of this kind of product for a long time. Although Maruzani et al. [34] and Manaia et al. [35] suggested that a mere measurement of an antibiotic in a particular complex environment is only a component of the risk assessment, and does not reflect bioavailability, that is, the risk for transmission to humans is a function of their fitness in the environment as well as in the host, rather than only antibiotic concentrations, our study focused on the antibiotics concentration distribution, and risk size is still worth discussing. This is especially important because the exact bioavailability to humans is still poorly understood and the risk evaluation method which should be applied for considering this kind of bioavailability is also unknown, and it may be too late to act if we wait until we have concrete risk values. In a word, in this study, the RQ values of TCs at sewage outlets in the Weihe River were at a medium level (100% OTC and 85.7% of CTC samples > 0.1), which should be noted, prevented, and controlled, and related abuse should be avoided to decrease ecological risks.

4. Conclusions

(1) All selected antibiotics (OTC, CTC, and MC) were detected in the Weihe River and the highest concentration of the three antibiotics was in sewage outlets. In water, the concentration ranges of OTC, CTC, and MC were 1.56–87.89 ng/L, 1.07–26.78 ng/L, and 0.28–12.35 ng/L, respectively, with the average concentrations being 16.13 ng/L, 4.96ng/L, and 1.70 ng/L, respectively. Compared with other regional waters in China, the concentration of TCs in the Weihe River was at the general level, but the concentration of the sewage outlet was relatively higher. In sediment, the concentration ranges of TCs were 6.13–45.38 ng/g, 6.17–32.29 ng/g, and 4.80–29.74 ng/g, respectively, with the average concentrations being 20.60 ng/g, 14.48 ng/g, and 12.96 ng/g, respectively. The highest concentration points of the sewage outlets were S11, S6, and S19, respectively.
(2) The total contents of three tetracyclines (OTC, CTC, and MC) in water and sediment gradually decreased from the upper reaches to lower reaches, and the average concentrations of tetracycline in the middle and upper reaches were higher than those in lower reaches, largely due to the fact that two large-scale tributaries, the Jing River and the Luo River, with remittance in the lower reaches area, exhibited an obvious dilution effect for the contaminate. On the other hand, contrary to the upper or middle reaches area, the small population in the lower reaches also obviously decreased the emitted antibiotics.
(3) The risk assessment results suggested that all the sampling sites posed no high risk. In main streams, 37.5% of water samples of OTC and only 6.25% of CTC posed a medium risk. In tributaries, 38.8% and 22.2% of samples for OTC and CTC, respectively, may create a medium risk level, whilst others may a cause low risk. In sewage outlets, all the samples of OTC and 85.7% of CTC may lead to the medium risk level. Therefore, we should pay attention to the impact of tetracyclines pollutants and take corresponding preventive measures.

Supplementary Materials

The following are available online at https://0-www-mdpi-com.brum.beds.ac.uk/1660-4601/15/9/1803/s1: Table S1: Sampling information; Table S2: Correlation coefficients (r2), recoveries (%), method detection limits (MDLs) (S/N= 3), and relative standard deviation (RSD) for three kinds of antibiotics in water and sediments; Table S3: The detailed antibiotic concentration of every sampling site in water and sediments.

Author Contributions

Conceptualization: Y.L.; Data Curation: J.F; Funding Acquisition: X.F.; Investigation: J.F.; Methodology: Y.C.; Project Administration: X.F.; Software: X.Y.; Validation: H.Y.; Visualization: Y.C.; Writing—Original Draft: Y.L. and J.F.; Writing—Review & Editing: X.F.

Funding

This research was funded by the National Natural Science Foundation of China (No. 41472220 and No. 41672224), the China Geological Survey (No. 121201011000150021 and No. 1212011220972), and the National Key Research and Development Program of China (No. 2016YFC0400701).

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Mei, L.X.; Zhen, S.; Ping, H.X. Occurrence of antibiotics in typical aquaculture of the Pearl River Estuary. Ecol. Environ. Sci. (Chin.) 2013, 22, 304–310. [Google Scholar]
  2. Nödler, K.; Licha, T.; Barbieri, M.; Pérez, S. Evidence for the microbially mediated abiotic formation of reversible and non-reversible sulfamethoxazole transformation products during denitrification. Water Res. 2012, 46, 2131–2139. [Google Scholar] [CrossRef] [PubMed]
  3. Zhang, Q.Q.; Ying, G.G.; Pan, C.G.; Liu, Y.S.; Zhao, J.L. Comprehensive Evaluation of Antibiotics Emission and Fate in the River Basins of China: Source Analysis, Multimedia Modeling, and Linkage to Bacterial Resistance. Environ. Sci. Technol. 2015, 49, 6772–6782. [Google Scholar] [CrossRef] [PubMed]
  4. Sarmah, A.K.; Meyer, M.T.; Boxall, A. A global perspective on the use, sales, exposure pathways, occurrence, fate and effects of veterinary antibiotics (VAs) in the environment. Chemosphere 2006, 65, 725–759. [Google Scholar] [CrossRef] [PubMed]
  5. Wu, N.; Qiao, M.; Zhang, B.; Cheng, W.D.; Zhu, Y.G. Abundance and diversity of tetracycline resistance genes in soils adjacent to representative swine feedlots in China. Environ. Tech. 2010, 44, 6933–6939. [Google Scholar] [CrossRef] [PubMed]
  6. Jiang, Y.; Li, M.; Guo, C.; An, D.; Xu, J.; Zhang, Y.; Xi, B. Distribution and ecological risk of antibiotics in a typical effluent-receiving river (Wangyang River) in north China. Chemosphere 2014, 112, 267–274. [Google Scholar] [CrossRef] [PubMed]
  7. Xu, J.; Zhang, Y.; Zhou, C.; Guo, C.; Wang, D.; Du, P.; Luo, Y.; Wan, J.; Meng, W. Distribution, sources and composition of antibiotics in sediment, overlying water and pore water from Taihu Lake, China. Sci. Total Environ. 2014, 497–498, 267–273. [Google Scholar] [CrossRef] [PubMed]
  8. Chen, H.; Liu, S.; Xu, X.R.; Zhou, G.J.; Liu, S.S.; Yue, W.Z.; Sun, K.F.; Ying, G.G. Antibiotics in the coastal environment of the Hailing Bay region, South China Sea: Spatial distribution, source analysis and ecological risks. Mar. Pollut. Bull. 2015, 95, 365–373. [Google Scholar] [CrossRef] [PubMed]
  9. Kolpin, D.W.; Furlong, E.T.; Meyer, M.T.; Thurman, E.M.; Zaugg, S.D.; Barber, L.B.; Buxton, H.T. Pharmaceuticals, Hormones, and Other Organic Wastewater Contaminants in U.S. Streams, 1999−2000:  A National Reconnaissance. Environ. Sci. Technol. 2002, 36, 1202–1211. [Google Scholar] [CrossRef] [PubMed]
  10. Boxall, A. Targeted Monitoring Study for Veterinary Medicines in the Environment. 2006. Available online: http://publications.environmentagency.gov.uk/pdf/SCHO0806BLHH-e-e.pdf (accessed on 29 July 2018).
  11. Di, W.; Yang, S.; Geng, W.; Gao, L.; Wang, Y.; Jiang, Q.; Chen, Y. Residues and Distributions of Organochlorine Pesticides in China’s Weihe River. Pol. J. Environ. Stud. 2016, 25, 1285–1292. [Google Scholar] [Green Version]
  12. Fu, Y.X.; Peng, Y.Z.; Lei, W.; Lei, Z.; Ling, G.J. Heavy Metal pollution characteristics and potential ecological risk in surface sediment of Shaanxi segment of the Weihe River. Environ. Mon. in China (Chin.) 2017, 33, 61–67. [Google Scholar]
  13. Xu, W.; Wu, Y. HPLC method for simultaneous detection of chloramphenicol, tetracycline, chlortetracycline and oxytetracycline in aquatic products. Chin. J. Health Lab. Technol. 2013, 23, 7. [Google Scholar]
  14. Ding, H.; Wu, Y.; Zhang, W.; Zhong, J.; Lou, Q.; Yang, P.; Fang, Y. Occurrence, distribution, and risk assessment of antibiotics in the surface water of Poyang Lake, the largest freshwater lake in China. Chemosphere 2017, 184, 137–147. [Google Scholar] [CrossRef] [PubMed]
  15. European, C. Technical Guidance Document on Risk Assessment in Support of Commission Directive 93/67/EEC on Risk Assessment for New Notified Substances. 2003. Available online: http://publications.jrc.ec.europa.eu/repository/bitstream/JRC23785/EUR%2020418%20EN-1.pdf (accessed on 3 March 2018).
  16. Hernando, M.D.; Mezcua, M.; Fernández-Alba, A.R.; Barceló, D. Environmental risk assessment of pharmaceutical residues in wastewater effluents, surface waters and sediments. Talanta 2006, 69, 334–342. [Google Scholar] [CrossRef] [PubMed]
  17. Li, Y.-X.; Zhang, X.-L.; Li, W.; Lu, X.-F.; Liu, B.; Wang, J. The residues and environmental risks of multiple veterinary antibiotics in animal faeces. Environ. Monit. Assess. 2013, 185, 2211–2220. [Google Scholar] [CrossRef] [PubMed]
  18. Xue, B.; Zhang, R.; Wang, Y.; Liu, X.; Li, J.; Zhang, G. Antibiotic contamination in a typical developing city in south China: Occurrence and ecological risks in the Yongjiang River impacted by tributary discharge and anthropogenic activities. Ecotoxicol. Environ. Saf. 2013, 92, 229–236. [Google Scholar] [CrossRef] [PubMed]
  19. Chen, K.; Zhou, J.L. Occurrence and behavior of antibiotics in water and sediments from the Huangpu River, Shanghai, China. Chemosphere 2014, 95, 604–612. [Google Scholar] [CrossRef] [PubMed]
  20. Zheng, F.C.; Cong, W.; Hui, L.L.; Qian, L.; Ming, Z.G. Occurrence and Seasonal Changes of Tetracycline Antibiotics and Antibiotic Resistance Genes in the Xiang River. J. Hunan Univ. (Nat. Sci.) (Chin.) 2015, 6, 107–112. [Google Scholar]
  21. Sun, Q.; Li, Y.; Li, M.; Ashfaq, M.; Lv, M.; Wang, H.; Hu, A.; Yu, C.P. PPCPs in Jiulong River estuary (China): Spatiotemporal distributions, fate, and their use as chemical markers of wastewater. Chemosphere 2016, 150, 596–604. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  22. Niu, Z.G.; Zhang, K.; Zhang, Y. Occurrence and distribution of antibiotic resistance genes in the coastal area of the Bohai Bay, China. Mar. Pollut. Bull. 2016, 107, 245–250. [Google Scholar] [CrossRef] [PubMed]
  23. Yan, C.; Yang, Y.; Zhou, J.; Liu, M.; Nie, M.; Shi, H.; Gu, L. Antibiotics in the surface water of the Yangtze Estuary: Occurrence, distribution and risk assessment. Environ. Pollut. 2013, 175, 22–29. [Google Scholar] [CrossRef] [PubMed]
  24. Zhao, S.; Liu, X.; Cheng, D.; Liu, G.; Liang, B.; Cui, B.; Bai, J. Temporal-spatial variation and partitioning prediction of antibiotics in surface water and sediments from the intertidal zones of the Yellow River Delta, China. Sci. Total Environ. 2016, 569–570, 1350–1358. [Google Scholar] [CrossRef] [PubMed]
  25. Jia, L.; Jie, Z.R.; Mei, W.R.; Hua, Z.; Hua, J.D.; Tao, Z.; Hui, T.J.; Jian, L. Distribution characteristics and ecological risk assessment of antibiotic pollution in Xiaoqing River watershed. J. Agro-Environ. Sci. (Chin.) 2016, 35, 1384–1391. [Google Scholar]
  26. Zhou, L.J.; Ying, G.G.; Zhao, J.L.; Yang, J.F.; Wang, L.; Yang, B.; Liu, S. Trends in the occurrence of human and veterinary antibiotics in the sediments of the Yellow River, Hai River and Liao River in northern China. Environ. Pollut. 2011, 159, 1877. [Google Scholar] [CrossRef] [PubMed]
  27. Liu, Y.F. Migration and Transformation of Tetracycline Antibiotics in Soil. Master’s Thesis, Jinan University, Guangzhou, China, 2012. (In Chinese). [Google Scholar]
  28. Wen, Q.Y.; Lei, Z.; Yao, S.; Qun, M.Y.; Xu, C.; Chao, L.Z. Contamination characteristics and ecological risk assessment of typical antibiotics in surface water of the Daliao River, China. Res. Environ. Sci. (Chin.) 2015, 28, 000361-368. [Google Scholar]
  29. Loftin, K.A.; Adams, C.D.; Meyer, M.T.; Surampalli, R. Effects of ionic strength, temperature, and pH on degradation of selected antibiotics. J. Environ. Qual. 2008, 37, 378–386. [Google Scholar] [CrossRef] [PubMed]
  30. Xi, D.L.; Jie, X.X.; Xing, Z.Q.; Pan, H.P. Molecular ecotoxicology of antibiotics, an emerging type of environmental contaminants: A review. Chin. J. Ecol. 2010, 29, 2042–2048. [Google Scholar]
  31. Zhu, Y.G.; Johnson, T.A.; Su, J.Q.; Qiao, M.; Guo, G.X.; Stedtfeld, R.D.; Hashsham, S.A.; Tiedje, J.M. Diverse and abundant antibiotic resistance genes (In Chinese) swine farms. Proc. Natl. Acad. Sci. USA 2013, 110, 3435–3440. [Google Scholar] [CrossRef] [PubMed]
  32. Organization, W.H. Antimicrobial resistance: Global report on surveillance. Aust. Med. J. 2014, 7, 237. [Google Scholar]
  33. Harrison, E.M.; Paterson, G.K.; Holden, M.T.G.; Larsen, J.; Stegger, M.; Larsen, A.R.; Petersen, A.; Skov, R.L.; Christensen, J.M.; Zeuthen, A.B. Whole genome sequencing identifies zoonotic transmission of MRSA isolates with the novel mecA homologue mecC. EMBO Mol. Med. 2013, 5, 509–515. [Google Scholar] [CrossRef] [PubMed]
  34. Maruzani, R.; Canali, A.; Serafim, V.; Munoz, L.P.; Shah, A.J.; Perito, B.; Marvasi, M. Effect of anthropogenic pollution on the fitness of tetracycline sensitive Shigella flexneri in Thames river water. J. Environ. Chem. Eng. 2018, 6, 19–27. [Google Scholar] [CrossRef] [Green Version]
  35. Manaia, C.M. Assessing the risk of antibiotic resistance transmission from the environment to humans: non-direct proportionality between abundance and risk. Trends Microbiol. 2017, 25, 173–181. [Google Scholar] [CrossRef] [PubMed]
  36. Hui, Z.T.; Han, C.Y.; Wei, H.; Liang, H.Y. The contamination characteristics and ecological risk assessment of typical antibiotics in the upper reaches of the Dongjiang River. Ecol. Environ. Sci. (Chin.) 2016, 25, 1707–1713. [Google Scholar]
Figure 1. Sampling sites of the Weihe River (water samples and sediment samples for 1–41).
Figure 1. Sampling sites of the Weihe River (water samples and sediment samples for 1–41).
Ijerph 15 01803 g001
Figure 2. Spatial distribution of TCs in (a) surface water and (b) sediment from the Weihe River.
Figure 2. Spatial distribution of TCs in (a) surface water and (b) sediment from the Weihe River.
Ijerph 15 01803 g002
Figure 3. RQs values of OTC and CTC in the (a) main streams, (b) sewage outlets, and (c) tributaries.
Figure 3. RQs values of OTC and CTC in the (a) main streams, (b) sewage outlets, and (c) tributaries.
Ijerph 15 01803 g003
Table 1. Residue levels of tetracyclines in the Weihe River.
Table 1. Residue levels of tetracyclines in the Weihe River.
TCsWater (ng/L) Sediments (ng/g)
MinMaxAverageMinMaxAverage
OTC87.891.5616.13OTC87.891.5616.13
CTC26.781.074.96CTC26.781.074.96
MC12.350.281.70MC12.350.281.70
Table 2. Residual levels of tetracyclines in surface water and sediments in different regions.
Table 2. Residual levels of tetracyclines in surface water and sediments in different regions.
SamplesOTCCTCRegionsReferences
MinMaxAverageMinMaxAverage
Surface water (ng/L)1.5687.8916.131.0726.784.96Weihe RiverThis study
-361107.497433.8-68870.213640.9Wangyang RiverJiang et al. [6]
nd72.844.2nd142.569.7Tai LakeXu et al. [7]
nd8.9-nd8.4 Boyang LakeDing et al. [14]
nd219.878.3nd46.73.6Huangpu RiverChen et al. [19]
22.3249.5531.67ndndndXiang RiverFan et al. [20]
nd16.9----Jiulongjiang EstuarySun et al. [21]
nd13.62.76 Bohai GulfNiu et al. [22]
5.1322.511.16ndndndChangjiang EstuaryYan et al. [23]
4.6067.5615.79---Intertidal zone of Yellow River DeltaZhao et al. [24]
Sediments (ng/g)6.1345.3820.606.1732.2914.48Weihe RiverThis study
-1626733614.8-698.394.0Wangyang RiverJiang et al. [6]
nd196.752.8nd48.519.0Tai LakeXu et al. [7]
0.618.66.9nd6.32.4Huangpu RiverChen et al. [19]
14.9268.9426.04---Bohai GulfNiu et al. [22]
0.55213.94.020.118121.3Changjiang EstuaryNiu et al. [23]
nd2.680.64 Yellow RiverZhou et al. [26]
nd42.26.69nd10.91.65Hai River[26]
nd76.610.87nd32.52.34Liao River[26]
nd refers to not detected.
Table 3. Toxicity data of antibiotics corresponding to sensitive species.
Table 3. Toxicity data of antibiotics corresponding to sensitive species.
AntibioticsSensitive SpeciesToxicity TypeAssessment FactorEC50 (mg/L)PNEC (ng/L)References
OTCPseudokirchneriella subcapitataAcute10000.11110[36]
CTCM. aeruginosaAcute10000.0550[6]

Share and Cite

MDPI and ACS Style

Li, Y.; Fang, J.; Yuan, X.; Chen, Y.; Yang, H.; Fei, X. Distribution Characteristics and Ecological Risk Assessment of Tetracyclines Pollution in the Weihe River, China. Int. J. Environ. Res. Public Health 2018, 15, 1803. https://0-doi-org.brum.beds.ac.uk/10.3390/ijerph15091803

AMA Style

Li Y, Fang J, Yuan X, Chen Y, Yang H, Fei X. Distribution Characteristics and Ecological Risk Assessment of Tetracyclines Pollution in the Weihe River, China. International Journal of Environmental Research and Public Health. 2018; 15(9):1803. https://0-doi-org.brum.beds.ac.uk/10.3390/ijerph15091803

Chicago/Turabian Style

Li, Ying, Jie Fang, Xiaoyu Yuan, Yangyang Chen, Hongbin Yang, and Xiaohua Fei. 2018. "Distribution Characteristics and Ecological Risk Assessment of Tetracyclines Pollution in the Weihe River, China" International Journal of Environmental Research and Public Health 15, no. 9: 1803. https://0-doi-org.brum.beds.ac.uk/10.3390/ijerph15091803

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop