3.1. Occurrence of microplastics in surface water and sediment in Phu Ly - Ha Nam
In our study, MPs can be found in all investigated freshwater components, including surface water, sediments from rivers and ponds (Fig. 2). The colors of those debris were observed in black, red, blue and clear white. Two main shape groups of fiber and fragment were detected. The color variation reflects the different sources and components of microplastics released into the environment and represents their ability to carry more harmful substances such as heavy metals and organic pollutants (Gallagher et al., 2016; Lahijan zadeh et al., 2020). In the previous study (Naji et al., 2019) conducted in Bandar Abbas, the predominant color of the microplastics found in the sediment was white/clear, and black/gray, representing the sources of microplastic were mostly from man-made.
The high concentration of MPs in Phu Ly (Ha Nam) was observed and shown in Fig. 3. The MP concentrations in pond surface water were higher than those detected in river. In specific, concentrations of MP in WS1P1, WS1P2 and WS2P were 2.8, 2.3 and 6.2 µg L− 1 of surface water, whereas the ones in WS1, WS2 and WS3 were in range from 0.17 to 1.1 µg L− 1. Interestingly, a similar result trend was observed in pond sediments in which MP levels in SS1P1, SS1P2 and SS3 were 3.74, 16.48 and 31.23 mg kg− 1 wet weight, respectively. It was from 1.5 to over 30 times higher than river sediments. Especially, MPs concentration of sediment in S1P2 was 38 times higher than those in S1. A similar observation was reported in previous study (Xiong et al., 2022) in which, the ponds received the major inland-sourced plastic wastes in the water system, and the microplastics they were in turn transported into the surrounding natural water bodies. Another study (Sukanya et al., 2020) showed that the accumulation of MPs in stagnant system such as pond is higher and he also mentioned that the condemnation in water is observed higher in riverine near industrial area as compared to the residential area. It was well correlated with our study’s results. Higher levels of MPs were distributed in sites 1 and 2 located near Kim Binh or Chau Son industrial zones than the one in site 3 closing to residential area.
There are several reports about MPs pollutions in rivers in Vietnam (Duong et al., 2022; Lahens et al., 2018; Le et al., 2022), however, the results were not considerably compared. The significant differences in MP levels among this study and others in Vietnam may be explained by the following reasons. Firstly, the sampling area in the current study is a suburban area where land is used for aquaculture, residential zones and several industrial factories. In contrast, other studies were conducted in densely populated areas such as Hanoi city or Red river Delta. The Nhue-Day river basin is location receiving water from Red river and wastewater from traditional craft villages and industrial zone in upstream areas. Seconds, different seasons for sampling in the studies might cause the variation of data. The study at Le collected samples in January/ February (Le et al., 2022) while our study and Duong’s reported the sampling work during June (Duong et al., 2022). Due to sampling at single seasonal period, it is difficult to make direct comparisons among the different studies as the MPs in river mobilizes via water flow and hydrodynamic conditions.
3.2. Trace metals extracted from MPs
As shown in Fig. 4 and Table S3, nine types of trace metals including Cd, Pb, Co, Ni, Mn, Cr, As, Cu and Zn were detected in the extracted solution of MPs. In surface water, Zn, Mn and Cu presented the highest level while Cd, Co and total As were the lowest pollutants. A similar observation was mentioned in the previous study (Ta & Babel, 2020); he observed that among six metals, Zn was found at the highest concentration in MPs while Cd was found at the lowest one. The MPs result from our study were detected from 0.0004–42.75 mg/g in surface water, whereas study of Ta et al. (2020), TMs were found in water samples with concentration from 3.52–39.22 µg/g. it is worthy noted that concentrations of the metals were normalized to the dry weight of MPs. The comparable concentrations of TMs extracted from MPs was also reported in the North Atlantic Gyre (Prunier et al., 2019) or the island of Vis, Adriatic Sea, Croatia (Maršić-Lučić et al., 2018).
The TM concentration detected in extract solution could be from various sources. It is possible for (1) the sorption of these metals from the water to MPs; (2) added stabilizers and pigments to increase the strength of plastics and create colors for plastic products (Brennecke et al., 2016; Hahladakis et al., 2018). The higher concentrations of trace metals in this report represented that a significant contamination level of the pollutants in the study sites were adsorbed on MPs. There is an evident (Rochman et al., 2014) indicating that the adsorption of metals doesn't significantly depend on a plastic type, it indicated that that the formation of biofilms, other environmental conditions such as pH and organic matter adsorption plays the most significant role when it comes to metal adsorption onto plastic surface (Coclet et al., 2021; Zettler et al., 2013).
Interestingly, the correlation of TM concentration between surface water and sediment or between pond and river were strongly observed. The trend of TM concentration extracted from MP were in the reverse order between surface water and sediment. In specific, the TM lelvel in surface water increased as the order of S2P < S3 < S1P2 < S1P1 < S2 < S1 while the one in sediment was S1P2 < S1 < S1P1 < S3 < S2P < S2. In addition, TM from MPs in pond water samples (WS1P2, WS1P2 and WS2P) showed similar patterns to the one in the river at the same sites. It can be explained that the water in aquaculture ponds is drawn from rivers, the metal levels in the pond fluctuate in accordance with the river water, exception Mn and Zn. It can prove for the hypothesis that MPs can easily absorbed trace metals and be their transporting vehicles in the environments.
3.3. The results of analysis for E. coli bacteria carrying the ESBL phenotype and detection of the ESBL encoding gene of the isolated strain E. coli
There was an evident that MPs could be microbial carrier but no AMR gene was detected from MP samples in this study. Among 18 samples analyzed, E. coli was found in 2 water samples (samples 7 and 11), in which sample no. 7 carried the CTX-M gene and no. 11 carried the TEM gene (Table 1). The suspected E. coli colonies in sample no.9, was identified negativly for E. coli, but found carrying the TEM gene when running multiplex PCR. Based on the above results, we find that the finding of two genes TEM and CTX-M (CTX-M: 94.1% and TEM: 45.3%) is consistent with many studies in Vietnam because the distribution of these genes is quite common in Vietnam and around the world recently. In addition, the suspected bacteria was found in MPs extracted solution but the AMR genes were detected from surface water in Site 1 (river and pond) and site 2 (river).
Table 1
ESBL-positive E. coli isolates and AMR gene found in MPs at the different sites
No
|
Coding samples
|
Type of samples
|
E. coli carrying ESBL (Mac/CTX)
|
CFU
|
AMR gene
(PCR multiple primer)
|
1
|
WS1P1
|
Microplastic from separated from water
|
Neg
|
0
|
Neg
|
2
|
WS1P2
|
Neg
|
0
|
Neg
|
3
|
WS1R
|
Neg
|
0
|
Neg
|
4
|
WS2P
|
suspected
|
102
|
Neg
|
5
|
WS2R
|
suspected
|
102
|
Neg
|
6
|
WS3R
|
suspected
|
3
|
Neg
|
7
|
S1P1
|
Only Water
|
Pos
|
2
|
CTX-M
|
8
|
S1P2
|
Suspected
|
106
|
Neg
|
9
|
S1R
|
Suspected
|
106
|
TEM
|
10
|
S2P1
|
Suspected
|
103
|
Neg
|
11
|
S2R
|
Pos
|
5
|
TEM
|
12
|
S3R
|
Suspected
|
3
|
Neg
|
13
|
SS1P1
|
MPs separated fro Sediments
|
Suspected
|
106
|
Neg
|
14
|
SS1P2
|
Suspected
|
102
|
Neg
|
15
|
SS1R
|
Suspected
|
5x102
|
Neg
|
16
|
SS2P1
|
Suspected
|
102
|
Neg
|
17
|
SS2R
|
Suspected
|
105
|
Neg
|
18
|
SS3R
|
Suspected
|
105
|
Neg
|
Neg: Negative |
Pos: Positive |
Several microbes have been reported to have the abilities of attaching them to the MPs, including Vibrio sp. (Kesy et al., 2020), Escherichia coli (Feng et al., 2022), Pseudomonas sp. (Metcalf et al., 2022), and Mycobacterium (Zhu et al., 2022) and are contributing to microplastic-associated AMR. AMR genes including sulphonamide resistance genes (sul1 and sul2), aminoglycoside resistance genes (strB), β-lactam resistance genes (blaOXA and blaTEM) were identified as abundance in the long-time exposed microplastic containing biofilms of Pseudomonas, Syntrophomonas, and Desulfotomaculum in wastewater landfill leachate with increasing environmental risks (J. J. Shi et al., 2020 (Shi et al., 2021)). Furthermore, other studies showed that TMs could induce the co-selection antibiotic resistance of microbe (Vats et al., 2022; Wang et al., 2020). Primarily via water environment, the transfer of ARGs across bacterial genera was observed to increase under subinhibitory concentrations of Cu and Ag nanoparticles as well as heavy metals ions, such as Cu (II), Cr (VI), Ag(I), Zn(II). This makes it easier for environmental as well as pathogenic bacteria to spread antibiotic resistance. If the MPs could carry both TMs and AMR on its surface, there might result in more complex environmental concerns to ecological system.
Because this result is only done on a small sample size, so to have more specific and accurate conclusions about the antibiotic resistance of bacteria, in the future, it is necessary to have studies with a large sample size. Moreover, the sample types are more diverse and studied on more bacterial agents, thereby showing the flexible and unpredictable and difficult to control variation of antibiotic resistance in bacteria.
3.4. Health risk assessment
In our study, the HQs for both male and female shown in Table 2 were much lower than the safe level (< 1.0), indicating that ingestion of microplastics containing those trace metals will not pose a noncarcinogenic risk to humans. The noncarcinogenic HQs of individual heavy metals based on the total heavy metal concentrations from microplastics decreased in the order Zn > Cu ≈ Mn > Cr > Ni ≈ Cd ≈ As (total) > Pb. Moreover, the highest HQ values were observed in most of samples from surface river water (WS1, WS2 and WS3).
Table 2
Hazard quotient of trace metals extracted from microplastics
|
WS1
|
WS1P1
|
WS1P2
|
WS2
|
WS2P
|
WS3
|
SS1
|
SS1P1
|
SS1P2
|
SS2
|
SS2P
|
SS3
|
Cd
|
Male
|
5.2 x10− 9
|
4.3 x10− 11
|
1.1 x10− 11
|
1.1 x10− 9
|
1.3 x10− 12
|
3.8 x10− 11
|
5.5 x10− 13
|
3.6 x10− 12
|
2.3 x10− 12
|
2.4 x10− 13
|
1.3 x10− 11
|
2.1 x10− 12
|
Female
|
2.6 x10− 6
|
2.2 x10− 8
|
5.4 x10− 9
|
5.3 x10− 7
|
6.6 x10− 10
|
1.9 x10− 8
|
2.8 x10− 10
|
1.9 x10− 9
|
1.1 x10− 9
|
1.2 x10− 10
|
6.5 x10− 9
|
1.1 x10− 9
|
Pb
|
Male
|
7.3 x10− 8
|
5.2 x10− 9
|
4.1 x10− 10
|
3.9 x10− 8
|
1.6 x10− 10
|
7.2 x10− 10
|
1.5 x10− 10
|
1.9 x10− 10
|
1.8 x10− 11
|
2.1 x10− 10
|
8.6 x10− 11
|
3.4 x10− 11
|
Female
|
1.9 x10− 7
|
1.3 x10− 8
|
1.1 x10− 9
|
9.8 x10− 8
|
4.2 x10− 10
|
1.8 x10− 9
|
3.8 x10− 10
|
4.9 x10− 10
|
4.6 x10− 11
|
5.4 x10− 10
|
2.2 x10− 10
|
8.7 x10− 11
|
Cr
|
Male
|
6.3 x10− 8
|
3.2 x10− 9
|
4.6 x10− 10
|
1.8 x10− 8
|
3.3 x10− 10
|
5.0 x10− 10
|
4.0 x10− 11
|
7.4 x10− 11
|
1.1 x10− 11
|
8.5 x10− 11
|
3.2 x10− 11
|
4.1 x10− 11
|
Female
|
3.2 x10− 5
|
1.6 x10− 6
|
2.4 x10− 7
|
9.0 x10− 6
|
1.7 x10− 7
|
2.5 x10− 7
|
2.1 x10− 8
|
3.8 x10− 8
|
5.5 x10− 9
|
4.3 x10− 8
|
1.6 x10− 8
|
2.1 x10− 8
|
Mn
|
Male
|
1.4 x10− 7
|
2.8 x10− 9
|
1.2 x10− 9
|
6.0 x10− 8
|
8.2 x10− 10
|
1.4 x10− 9
|
1.7 x10− 10
|
4.2 x10− 10
|
2.7 x10− 11
|
5.5 x10− 10
|
5.2 x10− 10
|
4.6 x10− 10
|
Female
|
6.9 x10− 5
|
1.4 x10− 6
|
6.3 x10− 7
|
3.0 x10− 5
|
4.2 x10− 7
|
7.0 x10− 7
|
8.7 x10− 8
|
2.1 x10− 7
|
1.4 x10− 8
|
2.8 x10− 7
|
2.6 x10− 7
|
2.4 x10− 7
|
Ni
|
Male
|
4.8 x10− 9
|
3.8 x10− 9
|
4.8 x10− 10
|
1.8 x10− 8
|
2.8 x10− 10
|
6.8 x10− 10
|
1.8 x10− 11
|
1.7 x10− 11
|
4.9 x10− 12
|
7.4 x10− 12
|
2.1 x10− 11
|
1.6 x10− 11
|
Female
|
2.7 x10− 5
|
2.0 x10− 6
|
2.5 x10− 7
|
9.0 x10− 6
|
1.4 x10− 7
|
3.5 x10− 7
|
9.2 x10− 9
|
8.7 x10− 9
|
2.5 x10− 9
|
3.8 x10− 9
|
1.1 x10− 8
|
7.9 x10− 9
|
Cu
|
Male
|
1.4 x10− 7
|
2.5 x10− 8
|
6.0 x10− 9
|
6.8 x10− 8
|
6.3 x10− 10
|
2.7 x10− 9
|
1.2 x10− 10
|
1.4 x10− 10
|
2.7 x10− 11
|
1.2 x10− 10
|
5.5 x10− 11
|
1.3 x10− 10
|
Female
|
7.0 x10− 5
|
1.3 x10− 5
|
3.1 x10− 6
|
3.5 x10− 5
|
3.2 x10− 7
|
1.4 x10− 6
|
6.1 x10− 8
|
7.0 x10− 8
|
1.4 x10− 8
|
6.1 x10− 8
|
2.8 x10− 8
|
6.7 x10− 8
|
Zn
|
Male
|
3.2 x10− 5
|
7.8 x10− 7
|
4.3 x10− 8
|
2.1 x10− 6
|
1.6 x10− 8
|
6.4 x10− 8
|
1.2 x10− 9
|
1.3 x10− 7
|
8.4 x10− 9
|
2.4 x10− 8
|
3.3 x10− 8
|
1.8 x10− 8
|
Female
|
0.01607
|
0.000394
|
2.2 x10− 5
|
0.001041
|
8.3 x10− 6
|
3.3 x10− 5
|
6.1 x10− 7
|
6.7 x10− 5
|
4.3 x10− 6
|
1.2 x10− 5
|
1.7 x10− 5
|
8.9 x10− 6
|
As
|
Male
|
9.8 x10− 9
|
6.5 x10− 10
|
2.1 x10− 10
|
4.7 x10− 9
|
4.4 x10− 11
|
2.4 x10− 10
|
2.7 x10− 11
|
1.9 x10− 11
|
1.0 x10− 11
|
3.3 x10− 11
|
2.2 x10− 11
|
4.4 x10− 11
|
Female
|
5.0 x10− 6
|
3.3 x10− 7
|
1.1 x10− 7
|
2.4 x10− 6
|
2.2 x10− 8
|
1.2 x10− 7
|
1.4 x10− 8
|
9.4 x10− 9
|
5.1 x10− 9
|
1.7 x10− 8
|
1.1 x10− 8
|
2.2 x10− 8
|
The main difference between plastic particles and TMs in terms of their environmental risk is that comparatively little is known about the actual risk posed by plastic contamination. In general, it should be clear that plastics, in contrast to TMs, do not have any benefit or use within the environment, as they are anthropogenic foreign objects in soils, sediments, or water. Currently, the toxic mechanisms of MPs toward ecological system are not clear. However, studies reported that MPs can act as vectors for carrying the metals into the ecosystem and human bodies (Brennecke et al., 2016). According to previous report (Akhbarizadeh et al., 2018), a strong relationship between the presence of MPs and toxic metals in fish species (i.e. A. djedaba and P. indicus) was confirmed. Thus, the consumption of high doses of fish may pose a health threat to consumers. Moreover, a study by Roman (Roman et al., 2020) found a correlation between plastic ingestion and increasing heavy-metal concentrations in seabirds. MPs found in the study can carry toxic metals and other pollutants from additives or surrounding environments into living organisms. In general, with a lack of robust data describing the tranferring pathway MPs and associated contaminants to food web, it implicates that the potential risk may exist for eating seafood but is insufficient to inform the ecolotoxicology of MPs in term of health risk assessment.