1. College of Land and Environment, Shenyang Agricultural University, Shenyang 110086, China
2. School of Environmental and Natural Sciences, Bangor University, Bangor LL57 2UW, UK
3. School of Environment and Natural Resources, Zhejiang University of Science and Technology, Hangzhou 310023, China
4. State Key Laboratory of Nutrient Use and Management, College of Resources and Environmental Sciences; National Academy of Agriculture Green Development, National Observation and Research Station of Agriculture Green Development (Quzhou, Hebei), China Agricultural University, Beijing 100193, China
5. State Key Laboratory for Quality and Safety of Agro-Products, International Science and Technology Cooperation Base for the Regulation of Soil Biological Functions and One Health of Zhejiang Province, Ningbo University, Ningbo 315211, China
dingfan1985@syau.edu.cn
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Received
Accepted
Published
2025-07-23
2025-10-21
Issue Date
Revised Date
2025-11-07
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Abstract
Plastic mulch film (PMF) can release microplastics (MPs) and phthalate esters (PAEs) into agricultural soils. These materials can contaminate the food chain, thereby posing a potential risk to human health. However, inconsistent methodologies hinder cross-regional comparisons of MP and PAE concentrations in agricultural soils, preventing an accurate assessment of the actual risk. To address this knowledge gap, a harmonized analysis of MPs and PAEs was conducted in soil across nine typical mulching region in six provinces of China (Gansu, Inner Mongolia, Liaoning, Shandong, Xinjiang and Zhejiang). The results showed that the abundance of MPs in the 0–30 cm soil layer ranged from 2.4 × 106 to 1.5 × 107 items m−2 (equivalent to 5.5 × 103 to 4.9 × 104 items kg−1 soil), with the highest abundance in Shandong and the lowest in Xinjiang. These MPs were mainly composed of rubber, polyolefin, polyester, resin, polystyrene, fluoropolymer, polyamide and polyurethane, of which polyolefin (primarily PMF-derived) accounted for up to 35%. Additionally, six PAEs (di(2-ethylhexyl) phthalate, diisobutyl phthalate, dibutyl phthalate, di-n-pentyl phthalate, diethyl phthalate and dimethyl phthalate) were detected, with total residues ranging from 3.6 to 22.3 mg·kg−1. It was estimated that the total PAE input from PMF constitutes < 0.1% of the measured PAEs at all the sampling sites. Overall, these findings indicate that PMFs are not the main contributor to MP and PAE contamination in agricultural soils under continued PMF application. While removal and recycling of PMF is essential in reducing PMF-derived MP accumulation in soil, further research into other sources is required to establish impactful mitigation strategies and regulations.
Yingming SUN, Shitong LI, Fan DING, Martine GRAF, Ruimin QI, Xuejun LIU, Kai WANG, Tida GE, Jingkuan WANG, David R. CHADWICK, Davey L. JONES.
Accumulation of soil microplastics and phthalate esters in nine typical Chinese croplands using plastic mulch film.
Front. Agr. Sci. Eng., 2026, 13(1): 25660 DOI:10.15302/J-FASE-2025660
Global agricultural plastic consumption has reached 12.5 Mt annually, within which plastic mulch film (PMF) is a key component, accounting for about 2.08 Mt[1–3]. Plastic film mulching considerably enhances agricultural productivity by conserving soil moisture, regulating temperature, suppressing weeds or reducing pesticide use, particularly in arid and cold regions[4–7]. However, the slow degradation of PMF (mainly polyethylene based) left behind in the soil after crop harvest has resulted in severe soil contamination[4,8]. The progressive fragmentation of PMF, coupled with inputs from sludge and sewage irrigation and atmospheric deposition, serve as primary pathways for microplastic (MP, < 5 mm) and nanoplastic (< 1 μm) accumulation in agricultural soils[9,10]. At high concentrations, MPs in soils can alter soil properties (e.g., bulk density, porosity and water content) and plant growth[11–13]. In addition, these small plastic particles can vertically migrate into deeper soil layers, posing a risk of groundwater contamination, and nanoplastics can be taken up by crops, thereby entering the food chain and posing potential risks for human health[4,14,15].
In addition to the fragmentation of PMF into smaller particles, PMF can also release associated chemicals and additives throughout the degradation process, potentially increasing the chemical burden placed on agricultural soils. During the production of plastics, various additives are incorporated to enhance the properties of the polymer such as its flexibility, durability and ease of manufacturing[16,17]. Of these, phthalate esters (PAEs) have been widely used as plasticizers within polymer production. PAEs do not chemically react with polymers but instead form loose, non-covalent bonds. As a result, during the breakdown and degradation of PMF, PAEs are readily released into the soil[8,18,19]. This has led to increased PAE concentrations in soils with PMF application compared to soils without PMF[18,20].
China is the largest user of PMF in the world, with 1.41 Mt used in 2018, accounting for approximately 68% of the global total use[3,21]. PMF use in China started as early as 1978, resulting in 47 years of continued PMF use in certain areas[15,22]. This highlights the urgent need to establish the current state of MP and PAE pollution in agricultural soils in China. While multiple studies have reported on the abundance of MPs[15,23–25] or PAEs[26–29] in croplands, at the farm- or regional-scale level in China, the use of various sample processing and analytical methods limits an effective comparison between studies[30].
Therefore, there is a clear need to identify and quantify MPs and PAEs in PMF covered soils across China using a uniform methodology. The objective of this study was to investigate the abundance, size and component distribution of MPs, as well as the occurrence of PAEs in soils from nine typical regions covered by PMF in China. In addition, this study aimed to explore the relationship between MPs and PAEs in Chinese croplands.
2 Materials and methods
2.1 Collection and preparation of soil samples
Nine sampling sites (Table 1) were chosen from six provinces (Gansu, Inner Mongolia, Liaoning, Shandong, Xinjiang and Zhejiang), representing 52% of the PMF covered area in China[3]. There were two sampling sites in Liaoning, Shandong and Xinjiang, and one sampling site in each of the other provinces. The prioritization of site selection was based on the extent of PMF use for a specific cropping system per area, with the dominant PMF cropping systems being prioritized. Three soil layers (0–10, 10–20 and 20–30 cm) were sampled in autumn 2022. Each sampling site consisted of four sampling locations (n = 4) with a distance of at least 200 m between locations. At each location, five points were sampled along a W-shaped transect following the principles of randomization, equal quantity and multi-point mixing (Fig. S1). For each soil layer, soil from the five sampling points within the same replicate was homogenized in equal mass proportions and quartered to form one representative composite sample. In total, 108 composite soil samples (9 sampling sites × 4 replicate locations per site × 3 soil depths) were collected. The collected soil samples were stored in aluminum containers and air-dried for MP and PAE analysis. Detailed descriptions of the sampling sites are given in Table 1, Table S1 and Table S2.
2.2 Microplastic extraction and quantification from soil
The methods of Qi[31] and Ren et al.[32] were used to extract MPs from soil with slight modifications. Briefly, 5.0 g of air-dried soil was added to 200 mL of saturated NaCl solution (1.2 g·cm−3) in a glass beaker, stirred for 30 min, and left to settle for 24 h, after which the supernatant was decanted into a new, clean glass beaker. This process was repeated three times. Following this, 200 mL of 4 mol·L−1 NaOH were added to the combined supernatant, and the solution was stirred for 30 min and left to settle for 24 h to digest organic matter. To stain MPs, Nile red was added to the solution at a ratio of 1:2000, homogenized, and incubated in the dark for 30 min. We assumed that polymer particles will be dyed by Nile red whereas other organic/inorganic particles will not. Finally, the solution was filtered through a membrane (mixed cellulose, 0.2 µm, Jinteng Experiment Equipment Co., Ltd, Tianjing, China) using vacuum filtration.
The quantification of MPs on the membrane was carried out using a fluorescence microscope (DM4B, Leica, Wetzlar, Germany) with excitation and emission wavelengths of 360 and 425 nm, respectively, at 50× magnification. The particle distribution on the membrane was visually determined to be homogenous, and 5% of the total membrane area was analyzed, resulting in 13 field of views, which were marked on the membrane for subsequent micro-Fourier transform infrared spectroscopy (μ-FTIR; LUMOS I, Bruker, Bremen, Germany). The obtained images were processed using ImageJ[33] to quantify the total quantity of particles and the average particle diameter. The lower size detection limit for particle quantification was set to 20 µm diameter, as the recognition of particles > 20 µm would have led to considerable uncertainty.
2.3 Microplastic identification
The μ-FTIR spectrometer was used to determine the infrared spectra of polymers, resolve functional groups and identify polymer types of the particles on the membrane. This process was only conducted for particles in the 0–10 cm soil layer, prioritizing the layer in which we postulated that the most diversity of polymer types. The wavelength range was set from 500 to 4000 cm−1, with a resolution of 4 cm−1 and 64 scans per sample spot. On each membrane, three particles were selected and analyzed from each pre-marked area, with three such predefined areas per membrane. These nine particles corresponded to fluorescent spots observed under fluorescence microscopy. Additionally, two random particles were selected from each quadrant on the filter membrane, resulting in a total of 17 particles per membrane (Fig. S2). The lower size detection limit was set to 20 µm, which is the smallest detectable particle size for µ-FTIR under the premise of accurate detection results. After baseline correction, particle spectra were matched to the reference library to determine their chemical composition. The match quality threshold was set to ≥ 45%, particles below this threshold were classed as unidentified, likely organic or inorganic contaminants. Some particles were not identified as polymers, but rather as additives (e.g., EDTA), minerals (e.g., quartz sand) or metals (e.g., zinc oxide). These data were then used to calculate the accuracy of MPs quantification via Nile red staining and corrections for preliminary quantification were applied (Table S3).
2.4 Phthalate ester determination
Seventeen PAEs were quantified in soil samples by gas chromatography coupled with mass spectrometry (GC-MS; 7000D, Agilent, Santa Clara, CA, USA) with a 60 μm × 250 μm × 0.25 μm column (Agilent 122-5062E). This analysis was only done for the 0–10 cm soil layer based on the assumption that PMF residues will accumulate most in this layer. The target PAEs: di(2-methoxyethyl) phthalate, diisoheptyl phthalate, diethyl phthalate, dipropyl phthalate, di-n-hexyl phthalate, butyl benzyl phthalate, dibutoxyethyl phthalate, dicyclohexyl phthalate, dipentyl phthalate, di-n-octyl phthalate, diisononyl phthalate, di(2-ethylhexyl) phthalate (DEHP), dimethyl phthalate (DMP), diethyl phthalate (DEP), dibutyl phthalate (DBP), diallyl phthalate (DAP) and diisobutyl phthalate (DIBP). Briefly, 5.0 g of soil was added to 30 mL of n-hexane-acetone (1:1 v/v), sonicated for 30 min and centrifuged for 3 min at 3000 r·min−1 to separate the supernatant. The chromatographic column consisted of a fused silica capillary column with a 5% phenyl methylpolysiloxane stationary phase and the GC-MS settings were: 80 °C for 1 min, increased to 280 °C at 20 °C·min−1 and held for 20 min, with an injection volume of 1.2 μL. The carrier gas was helium with a flow rate of 1 mL·min−1. The PAEs were quantified by a five-point calibration curve[29,34].
2.5 Quality control
Soil samples were collected using a stainless-steel soil auger and stored in aluminum containers. During sample processing, cotton laboratory coats and gloves were worn, and all experimental materials were made of glass or metal. Further, glass beakers were always covered with aluminum foil to prevent contamination of the samples by airborne particles. All glassware was thoroughly cleaned prior to use with distilled water. Extraction blanks were run alongside samples (n = 3) to account for any process-induced contamination.
2.6 Calculation and statistical analysis
MP abundance (items m−2) in the 0–30 cm soil layer was calculated as follows:
where, A0–30 is the abundance of MPs (items m−2) in the 0–30 cm soil layer, k is the individual soil layer in 0–30 cm layer (1–3 for 0–10, 10–20 and 20–30 cm), D is the depth of individual soil layer (0.1 m), A is the area (1 m2), BDk is the bulk density of each individual soil layer (kg·m−3) and Nk is the number of MPs (items kg−1).
To estimate the contribution of PMF to soil PAEs, we calculated the theoretical release of PAEs from the use of PMF. Then, we calculated the contribution of PMF to soil PAEs through dividing theoretical release of PAEs from PMF by the actual measured PAE content in this study. The theoretical release of PAEs in to soil from PMF use over time (PAEfilm, mg·kg−1 soil) was estimated as follows, assuming that 100% of PAEs in PMF residue were released into soil and not degraded (i.e., being the worst-case scenario for PAE accumulation).
where, Afilm is the area (1 m2) covered by the PMF, T is the thickness (m) of the PMF (1 × 10−5 m), ρ is the density (kg·m−3) of polyethylene PMF (assuming 930 kg·m−3)[35], CPAE is the total PAE content (mg·kg−1) in plastic film (15.7 mg·kg−1 based on Ding et al.[34]), R is the recovery rate of plastic film by farmers (assuming to be 80%), Year is the number of years of continued PMF use, Asoil is the area of soil covered by the PMF (1 m2), D is soil depth (0–0.1 m) and BD is soil bulk density (kg·m−3) (Table S2).
Statistical analysis was performed using SPSS 26.0 (IBM, Inc., Armonk, NY, USA). Linear regression was used to investigate relationship between PAE and MP abundance. One-way analysis of variance was performed to determine differences in MP abundance between soil layers, with the significance level set at 0.05 (95% confidence interval). Graphical representations were generated using Origin 2024b.
3 Results
3.1 Microplastic abundance, size and chemical composition
The abundance of MPs in the 0–30 cm soil layer ranged from 2.4 × 106 to 1.5 × 107 items m−2 in the nine target provinces with high PMF use across China, with an average of 7.1 × 106 items m−2 (Fig. 1(a)). MP abundance in Shandong (1.1 × 107 to 1.5 × 107 items m−2) and Inner Mongolia (1.3 × 107 items m−2) were much greater than other regions (Gansu (7 × 106 items m−2), Liaoning #2 (5 × 106 items m−2), Liaoning #1 (4 × 106 items m−2), Xinjiang #2 (4 × 106 items m−2), Zhejiang (3 × 106 items m−2) and Xinjiang #1 (2 × 106 items m−2)). The abundance of soil MPs in the 0–10, 10–20 and 20–30 cm soil layer ranged from 6.2 × 103 to 4.8 × 104, 5.5 × 103 to 3.1 × 104 and 9 × 103 to 2.9 × 104 items kg−1, respectively (Fig. 1(b)). We found an inverse relationship between particle size and abundance, that is, the smaller the particle size, the greater the abundance and vice versa (Fig. 1(c)).
MP particles in the size range 20–50 μm accounted for > 50% of the total particle number, while particles sized between 20 and 100 μm accounted for > 90% at almost all sampling sites. Although the maximum particle size was > 500 μm in all sampling points, the median was < 50 μm and the mean < 70 μm.
We detected nine categories of MP in the soil samples (Fig. 1(d)), including polyolefin, rubber, polyester, resin, polystyrene, fluoropolymer, polyamide, polyurethane and others. The categories were classified as follows: polyolefin (polyethylene and polypropylene), rubber (ethylene-propylene rubber and neoprene rubber), polyester (ethylene-vinyl alcohol copolymer, polybutylene terephthalate and polyethylene terephthalate), resin (phenolic resin), polystyrene (polystyrene, polystyrene foam and high impact polystyrene), fluoropolymer (polytetrafluoroethylene), polyamide (nylon66 and nylon12), polyurethane (polyurethane and polyurethane foam) and others (polyether imide and vinyl chloride-vinyl acetate copolymer).
Rubber dominated within the nine categories in Shandong #2 (70%), Shandong #1 (48%) and Inner Mongolia (53%). However, polyolefin (including polyethylene and polypropylene) is the primary components of PMFs and was abundant in multiple regions, particularly in Xinjiang #1 and Zhejiang (both 35%). The proportions of polyolefins in other regions followed the order: Gansu (24%) > Liaoning #1 (23%) > Liaoning #2 (21%) > Xinjiang #2 (14%) > Shandong #2 (13%) > Shandong #1 (3%) > Inner Mongolia (0%).
3.2 Phthalate ester concentrations in soils
Of the 17 targeted PAEs, we identified six PAEs which were abundant in the majority of samples, namely DEHP, DIBP, DBP, DAP, DEP and DMP (Fig. 2). The other 11 PAEs were not detected in our soil samples being not present or below the detection limit. The total amount of ∑6 PAEs ranged from 3.6 to 22.3 mg·kg−1, with an average of 11.1 mg·kg−1 (Fig. 2(a) and Table S4). The average abundance of PAEs in the nine provinces was as follows: Xinjiang #1 (22.3 mg·kg−1) > Shandong #1 (17.4 mg·kg−1) > Shandong #2 (14.2 mg·kg−1) > Inner Mongolia (12.0 mg·kg−1) > Liaoning #2 (10.9 mg·kg−1) > Liaoning #1 (8.4 mg·kg−1) > Zhejiang (5.6 mg·kg−1) > Gansu (5.3 mg·kg−1) > Xinjiang #2 (3.6 mg·kg−1). Only three of the six most abundantly identified PAEs (DEHP, DEP and DMP) are currently regulated in China[36]. The total amount of these ∑3 PAEs ranged from 1.4 to 6.0 mg·kg−1 (Fig. 2(b)).
We also found a regional difference in PAE abundance (Fig. 2(c)), with DBP accounting for 31%–52% of PAEs in Shandong #1, Shandong #2 and Xinjiang #1 (in that order). DAP was most abundant in the remaining provinces, accounting for 38%–56% of PAEs.
3.3 Relationship between soil phthalate esters and microplastic concentrations
DMP concentration in soil increased with MP abundance in soil (r = 0.64, p = 0.0003, Fig. 3(a)). This was also observed for DEHP (r = 0.62, p < 0.0001, Fig. 3(b)). Abundance of DEP, DBP, DAP and DIBP was not no significantly related to MPs abundance.
4 Discussion
4.1 Accumulation of soil microplastics in Chinese croplands using plastic film mulch
The MP (≥ 20 μm) abundance in the nine typical mulching regions ranged from 5.5 × 103 to 4.9 × 104 items kg−1 and 2.4 × 106 to 1.5 × 107 items m−2 at 0–30 cm soil depth (Fig. 1). These numbers were higher than the majority of previously reports on the abundance of MPs in Chinese agricultural soils. A previous nationwide survey showed an average MP (size not reported) abundance of 1837 items kg−1 across 109 Chinese cities[23], and a regional survey reported MP (> 100 μm) abundance of 77–730 items kg−1 in croplands of Northwest China[24]. Notably, a study focusing on cropland with 32 years of continued PMF use reported a MP abundance of 10,586 items kg−1 (> 100 μm) at 0–10 cm soil depth[15]. These large differences in reported MP numbers could be attributed to the lower size limit used for MP detection in our study. We included MPs ≥ 20 µm whereas these earlier studies excluded particles < 100 µm or did not indicate a set analytical size range. In our study, particles sized between 20 and 100 μm accounted for more than 80% of the total MPs abundance in all regions, and the number of particles between 20 and 100 μm is at least one order of magnitude higher than the MP abundance for particles > 100 µm (Fig. 1(c)).
We also found that MPs in agricultural soils are not exclusively derived from PMF. Polyolefins (primarily PMF-derived) accounted for up to 35% of total MPs across all the regions (Fig. 1(d)). Similarly, 33%–56% of MPs in an agricultural field after 32 years of continued PMF application were most likely to have been derived from PMF[15]. Past national surveys of soils under PMF application reported 31.7%– 64.4% of MPs being likewise attributed to PMFs[25,37,38]. Apart from PMF, atmospheric deposition, irrigation, application of organic amendments (e.g., biosolid, compost and sludge) and coated fertilizers also contribute to MPs in agricultural soils[15]. In Shandong #2, Shandong #1 and Inner Mongolia, rubber dominated the MP chemical composition (Fig. 1(d)). Rubber at these locations most likely originates from tire wear particles transported via atmospheric deposition or wastewater irrigation pathways[39–41].
The discrepancy between PMF use and MP concentrations is most evident in the data from Xinjiang (#1 and #2), where MP concentration was lowest despite the fact that Xinjiang has the highest PMF use compared to other regions and macroplastic (> 5 mm) residue was greatest of all provincial administrations[3]. Our findings align with the results of two previous national soil condition censuses in China, ranking MP concentration in Xinjiang as low in comparison to other provinces[23,25]. It is suggested that the reason for low MP concentrations in Xinjiang is linked to different irrigation sources, as groundwater irrigation is prevalent in this region, whereas other regions with high MP numbers tend to rely on river water[25], which has been shown to contain more MPs compared to groundwater[42]. This further supports our finding, that PMF use represents only a small contributor to MPs in agricultural soils (Fig. 1(d)).
4.2 Accumulation of phthalate esters in Chinese agricultural soils under plastic mulch film application
The total concentration of the six most abundant PAEs in soils ranged from 3.57 to 22.3 mg·kg−1 at 0–10 cm soil depth across the nine sampling sites under PMF examined in this study (Fig. 2(a)). Notably, values reported here exceed those from previous studies. A soil survey of 31 Chinese provinces in 2013 reported the total concentration of 15 PAEs as 0.08–6.37 mg·kg−1[26], while another survey of 24 provinces in 2019 reported the total concentration of nine PAEs as 0.07–1.24 mg·kg−1[28]. The two soil surveys did not measure DBP and DAP, however, they accounted for about 57% of the total PAEs in our study (Fig. 2(a)). Similarly, previous studies have reported soil DBP concentrations of 9.8–11.6 mg·kg−1 in Shandong[43] and 11.2–57.7 mg·kg−1 in Xinjiang[44]. Therefore the lack of quantification DBP and DAP in previous studies is the likely reason for the discrepancy between the two national soil surveys and our study.
Plastic has been established as a dominant carrier for PAEs entering soils, due to PAEs being abundantly used in the plastic production process. DEHP is a dominant PAEs in PMF[45–47], and has long ester chains and strong hydrophobicity, making it readily adsorbed by carbonaceous materials (e.g., biochar and MP) in soil and sediments, and thus making it difficult for it to undergo biodegradation[48–50]. This contributed to the close positive correlation between DEHP concentration and MP abundance in soil (Fig. 3(a)). DBP and DEP had a weak positive relationship with MP abundance in soil (Fig. 3(c,d)), possibly indicating that other sources (e.g., irrigation) contribute to their input apart from PMF. Lastly, DAP and DIBP are rarely used in plastic production, therefore no relation for these with MP abundance was observed (Fig. 3(e,f).
We also estimated the potential contribution of PMF to soil PAEs (Table 2). Even when operating under the worst-case scenario assumption that all PAEs from PMFs persist in soil (i.e., no microbial degradation or leaching), the total PAE input from PMFs would constitute only < 0.1% of the measured PAEs at all the sampling sites. We acknowledge that this assumption is not based on modeled mobility and degradation of PAEs in soil, and is merely used to illustrate the highest potential contribution of PMFs to PAEs in soil after continued PMF use. In reality, the PMF contribution to PAEs in soil is likely to be even lower than the 0.1% calculated here. Accordingly, we conclude that the contribution of PMFs to soil PAE pollution is negligible. In contrast, fertilizers[46,51], sewage sludge[45,52–54] and irrigation water[55] are much more likely to be primary sources of PAEs in Chinese soils.
5 Conclusions
This study investigated MP and PAE abundance from nine typical PMF-covered regions in China. The MP abundance ranged from 2.4 × 106 to 1.5 × 107 items m−2 in the 0–30 cm soil layer (equivalent to 5.5 × 103 to 4.9 × 104 items kg−1 soil). MP chemical composition included polyolefins, rubber, polyester, resins, polystyrene, fluoropolymer, polyamide, polyurethane and others. Polyolefins (primarily PMF-derived) accounted for up to 35% of the total MP number across all the regions. Six PAEs (DEHP, DIBP, DBP, DEP, DMP and DAP) were detected, with total concentrations ranging from 3.57 to 22.3 mg·kg−1. DEHP and DBP were the dominant compounds, accounting for 76.4% and 9.3% of the total PAE concentration, respectively. Assuming all PAEs from plastic films persist in soil without degradation or leaching losses, the PAE input from PMFs constitutes < 0.1% of the measured PAEs at all the sampling sites. Our study provides evidence that PMFs are not the primary source of MPs and PAEs in Chinese soils under continued PMF application, but that other sources (e.g., atmospheric deposition, irrigation and organic amendments) are likely major contributors that warrant further investigation. For future research, we therefore strongly suggest to further investigate other sources of soil contamination, to implement impactful mitigation strategies and regulations.
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