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Article

Residues and Dietary Risk Assessment of Imidacloprid in Bamboo Shoot (Phyllostachys praecox), Winter Jujube (Ziziphus jujuba Mill. cv. Dongzao), Dendrobium officinale Kimura et Migo, and Fritillaria

1
College of Food and Pharmaceutical Sciences, Ningbo University, Ningbo 315211, China
2
Institute of Agro-Products Safety and Nutrition, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China
*
Author to whom correspondence should be addressed.
Agronomy 2023, 13(4), 1076; https://doi.org/10.3390/agronomy13041076
Submission received: 8 March 2023 / Revised: 26 March 2023 / Accepted: 1 April 2023 / Published: 7 April 2023
(This article belongs to the Special Issue Pesticide Residues and Nutritional Quality of Agro-Products)

Abstract

:
The widespread use of pesticides poses significant risks to food and environmental safety. Imidacloprid is one of the most effective neuroactive neonicotinoid insecticides and is effective against a broad spectrum of piercing–sucking pests. A rapid, efficient, and high-throughput analysis method for the determination of imidacloprid was developed in four minor crops with six matrices (bamboo shoot, winter jujube, fresh and dry D. officinale, and fresh and dry Fritillaria) by solid-phase extraction and HPLC-MS/MS. The procedure showed satisfying recoveries (72~111%) and RSDs (1~13%). A total of 288 samples were tested in China (Aba and Luan). Imidacloprid residues were 100% detected in fresh and dry D. officinale and winter jujube, with concentrations ranging from 0.048 to 1.550 mg·kg−1. Imidacloprid residues were also abundant in fresh and dry Fritillaria (maximal concentration of 0.021 and 0.063 mg·kg−1, respectively), followed by bamboo shoot, which had the lowest detection rate of imidacloprid (6%). Using the risk quotient (RQ) method, the long-term (RQc) and short-term (RQa) dietary risks of imidacloprid in bamboo shoot, winter jujube, fresh and dry D. officinale, and fresh and dry Fritillaria were further monitored. Based on the imidacloprid residues in this paper, the RQc and RQa were 15.03% and 0.0008~1.7604%, respectively. The RQ values were far less than 100%, showing that Chinese consumers face little health risk as a result of imidacloprid intake.

1. Introduction

The demand for controlling pests and diseases has often been addressed by an increase in the usage of pesticides, especially in some developing countries because of a general lack of stringent regulations on pesticide production and use. Past studies have shown that only a small proportion of pesticides are active on target crops due to application technique, plant properties, and droplet rebound. About 80% of pesticides are lost, which can lead to soil, sediment, and freshwater ecosystem pollution, and can even have a negative impact on human health [1,2]. Therefore, pesticide residue detection is increasingly important for monitoring environmental pollution, which is directly related to human health.
Neonicotinoids, which have low toxicity to mammals and high activity against pests and insects (whiteflies, aphids, beetles, and some Lepidoptera species), have become the most frequently used insecticides worldwide [3]. In 2014, the neonicotinoid market exceeded 3 billion and accounted for about 25% of the global pesticide market [4,5]. Imidacloprid was the first neonicotinoid insecticide developed for commercial use [6], and it accounted for 41.5% of the entire neonicotinoid market in 2009, making it one of the most popular insecticides in the world [7,8].
Numerous studies have demonstrated that imidacloprid was the most frequently detected pesticide among neonicotinoids. For example, according to a survey conducted in Hangzhou, China (HZC), 7 neonicotinoids were confirmed in 134 fruit and vegetable samples, with imidacloprid being the most commonly detected (66% frequency) [9]. Yuan et al. stated that imidacloprid was detected with the highest detection rate (92%) in 12 samples of Taiwanese tea, with the highest concentration of 0.75 mg·kg−1, exceeding the standards of China (0.5 mg·kg−1) and the EU (0.05 mg·kg−1) [10]. The results of Yu et al. [11] showed that imidacloprid residue concentrations were up to 0.005~0.12 mg·kg−1 in Zizania latifolia and purple sweet potato. Higher use of imidacloprid in various crops increases the risk of human exposure, and there are some adverse effects on human health, such as chronic diseases and birth defects [12,13,14]. Moreover, studies have found that imidacloprid had many direct serious adverse effects on non-target organisms (especially honeybees) [15]. Therefore, the investigation of imidacloprid residues is of significant importance to ensure food safety and human and ecosystem health.
Minor crops refer to those with a limited cultivated area, limited consumption, and limited economic benefit compared with major crops [16]. The use of pesticides to control diseases and pests in minor crops is a significant global issue that has an impact on the quality and safety of minor agricultural products due to the limited type and number of pesticides registered for these target crops [17]. There are many kinds of minor crops in China, including 12 classes of 375 species, such as seasonings, medicinal plants, feed, and flowers [18]. Therefore, the food security of minor agricultural products is very important to the Chinese. What is more, this is very much in line with Xi’s “broad food view” concept in the 20th National Congress of the Communist Party of China [19]. For minor crops, bamboo shoot, winter jujube, D. officinale, and Fritillaria were chosen as representative commodities in this study. At present, imidacloprid has been registered and permitted to control bamboo shoot aphids, winter jujube miridae, D. officinale aphids, and Fritillaria grubs [20], but there has been little investigation on imidacloprid residues in these crops. Therefore, in order to improve the quality and safety of minor agricultural products as well as the healthy development of our characteristic agriculture, we should further pay more attention to the problem of pesticide residues in minor crops.
Currently, GC or LC with a mass spectrometer (MS) or tandem mass spectrometer (MS/MS) has been routinely used in the development of analytical methods for neonicotinoid residues [21]. The purpose of this study was to: (i) establish a method for the determination of imidacloprid residues in bamboo shoot, winter jujube, fresh and dry D. officinale, and fresh and dry Fritillaria; (ii) investigate the residual levels of imidacloprid by established methods in 288 samples collected from Aba (Sichuan Province, China) and Luan (Anhui Province, China); and (iii) conduct a short-term and long-term dietary risk assessment for Chinese consumers based on the results of the food consumption data and the residue levels. These data provide a reference for the safe use of imidacloprid.

2. Materials and Methods

2.1. Chemicals and Reagents

Imidacloprid standard (99% purity) was acquired from Zhejiang Tide Crop Technology Co., Ltd. (Hangzhou, China). LC-grade acetonitrile, methanol, methylbenzene, and acetone were purchased from Merck KGaA (Darmstadt, Germany). Analytical grade acetonitrile and formic acid were purchased from Shanghai Lingfeng Chemical Regent Co., Ltd. (Shanghai, China). Nylon syringe filter (0.22 μm) was purchased from Tianjin Bonna-Agela Technologies Co., Ltd. (Tianjin, China). Sep-Pak Vac NH2 cartridge (6 cc/500 mg), Sep-Pak C18 cartridge (6 cc/500 mg), and Sep-Pak florisil cartridge (6 cc/500 mg) were obtained from Waters Technologies (Shanghai, China).

2.2. Preparation of Standard Solutions

A standard stock solution was prepared by dissolving accurately weighed 0.0508 g of imidacloprid standard in 50 mL volumetric flasks with LC-grade acetonitrile to obtain a final concentration of 1006 mg·L−1. Standard working solutions for plotting calibration curves were prepared by serial dilution of the stock solution of imidacloprid in acetonitrile. All solutions were labeled and stored in dark glass bottles at 4 °C.

2.3. Sample Collection

Bamboo shoot, winter jujube, fresh and dry D. officinale, and fresh and dry Fritillaria were randomly collected from markets, the indicated cultivation regions, and e-commerce companies in the major production regions of Aba (Sichuan Province, China) and Luan (Anhui Province, China). A total of 288 samples were collected from June to November 2021, half from Aba and half from Luan. Each sample was at least 5 kg (dry D. officinale and dry Fritillaria were each 1 kg) in weight and classified by quartering. All samples were stored at −20 °C until analyzed.

2.4. Sample Extraction and Clean-Up

2.4.1. Sample Extraction

Several grams of chopped and homogenized samples (bamboo shoot, winter jujube, fresh D. officinale, and fresh Fritillaria: 5.0 g; dry D. officinale and dry Fritillaria: 2.0 g) were accurately weighed into an 80 mL centrifuge tube, and 40 mL of acetonitrile was added. The mixture was vigorously shaken at 350 r·min−1 for 10 min. NaCl (5 g) was added to the sample followed by shaking for 5 min, and 4 mL of acetonitrile layer was transferred into a round-bottom flask and then concentrated to nearly 1 mL with a rotary vacuum evaporator at 40 °C.

2.4.2. Sample Clean-Up

The Sep-Pak Vac NH2 cartridge was preconditioned with 4 mL of acetonitrile–methylbenzene (75/25, v/v). Then, 1 mL extract solution was loaded onto the cartridge. The residue of the extracts was re-washed 3 times with 6 mL of acetonitrile–methylbenzene (75/25, v/v) and then loaded onto the cartridge, and 15 mL of acetonitrile–methylbenzene (75/25, v/v) was added directly to the cartridge. The eluates were collected in a round-bottom flask and evaporated to near dryness in a vacuum rotary evaporator at 40 °C and completely dried under nitrogen purge. Ultimately, the residues were re-dissolved with 10 mL (dry D. officinale and dry Fritillaria in 4 mL) of acetonitrile–water (60/40, v/v), and the mixtures were filtered through a 0.22 μm nylon syringe filter for HPLC-MS/MS analysis.

2.5. HPLC-MS/MS Analysis

The HPLC-MS/MS analysis used a triple-quadrupole mass spectrometer (XEVO TQ MS, Waters, Riddle, OR, USA) in positive electrospray ionization (ESI+) mode. A reversed-phase column (Acquity HPLC BEH C18, 2.1 × 100 mm, 1.7 μm) was used for the chromatographic separation. The mobile phase was acetonitrile/aqueous 0.1% formic acid (60:40, v/v) at a flow rate of 0.2 mL·min−1. The sample injection volume was 5 μL. The column temperature was kept at 35 °C, and the temperature in the sample manager was set to 10 °C. Typical instrumentation conditions: source temperature: 150 °C, desolvation temperature: 400 °C, cone gas flow: 50 L·h−1, desolvation gas flow: 800 L·h−1. Multiple reaction monitoring (MRM) mode was used for detection. The m/z 256.07→m/z 209.13 (collision energy: 14 eV) and m/z 256.07→m/z 175.06 (collision energy: 20 eV) were employed in the quantification and identification of imidacloprid, respectively.

2.6. Validation Study

Matrix effect (ME), linearity, limit of detection (LOD), limit of quantification (LOQ), and precision and accuracy were examined for assessing the practicability of the proposed method. The existence of ME affected the selectivity and sensitivity of analytical methods and consequently the accuracy and precision of the results. The linearity was determined via matrix-matched curves established by testing a series of calibration standards in the matrix and solvent. The LOD was set as the lowest concentration of the matrix-matched curve, and the LOQ was set as the lowest spiked level. The precision and accuracy of this method were checked by recovery experiments with satisfactory recovery (70~120%) and precision (relative standard deviation, RSD < 20%) [22], which were conducted by fortifying blank bamboo shoot, winter jujube, fresh and dry D. officinale, and fresh and dry Fritillaria with the standard solutions at 3 different spiking levels. Each spiking level was repeated five times.

2.7. Statistical Analysis and Dietary Risk Assessment

Matrix effects were calculated with Equation (1) [23]:
ME (%) = (slope(matrix) − slope(solvent))/slope(solvent) × 100%,
where slope(matrix) and slope(solvent) are the slopes of the calibration curves of matrix and solvent standards, respectively. |ME| < 20% represents moderate effects, 20% ≤ |ME| ≤ 50% represents medium effects, and |ME| > 50% represents strong effects [24].
The long-term exposure assessment of imidacloprid was calculated according to Equations (2) and (3) [25]:
NEDI = ∑ (MN × FI),
RQc (%) = (NEDI/ADI × bw) × 100,
The short-term exposure assessment of imidacloprid was calculated according to the following Equations (4) and (5) [25]:
NESTI = HR × LP,
RQa (%) = (NESTI/ARfD × bw) × 100,
where NEDI is the national estimated daily intake (mg bw), MN is the median residues detected in this study (mg·kg−1), FI is the reference daily food intake (kg·day−1), bw is the body weight of an average adult Chinese person, and ADI (mg·kg−1 bw) is the acceptable daily intake. NESTI is the national estimated short-term intake (mg), HR is the highest residue level (mg·kg−1), LP is the maximum daily consumption (kg·d−1), ARfD is the acute reference dose (mg·kg−1 bw), and RQ is the risk quotient. If RQ exceeds 100%, there might be a risk [26].

3. Results and Discussion

3.1. Method Optimization and Validation

3.1.1. Optimization of Extraction Solvents

In pesticide residue analysis, the choice of extraction solvent is pivotal to the extraction effect. We tested acetonitrile and acetone as extraction solvents to determine the imidacloprid residues. We added 0.1 mg·kg−1 imidacloprid into the blank matrix in 5 replicates (n = 5) which stood for 30 min. After the target and the matrix were fully absorbed, 40 mL of acetonitrile or acetone was added to extract imidacloprid. Finally, the extraction efficiency of the two extraction solvents was evaluated with the recovery ± RSD. The results are shown in Figure 1A. The average recoveries of imidacloprid in all matrices were 83~104% with RSD between 3% and 6% using acetonitrile as the extraction solvent, and the average recoveries were 73~110% with RSD between 4% and 8% using acetone as the extraction solvent, which all met the experimental criteria. Compared with acetone, acetonitrile had less impurity interference and was easier to obtain. Therefore, acetonitrile was selected as the extraction solvent in this experiment.

3.1.2. Optimization of Purification Methods

At present, purification methods mainly include solid-phase extraction (SPE) and QuEChERS extraction. The QuEChERS method was used to determine simple substrates such as vegetables and fruits [27]. Considering the large differences among the four minor crops (bamboo shoot, winter jujube, D. officinale, and Fritillaria), we chose SPE as the purification method. In the SPE purification method, different SPE cartridge types have different functional groups and retention mechanisms. In this study, the effects of different SPE cartridges including C18, florisil, and NH2 on the purification of four minor crops were investigated using 5.0 g samples (dry D. officinale and dry Fritillaria, 2.0 g) spiked with imidacloprid at 0.1 mg kg−1. A total of 40 mL of elution solvent (acetonitrile–methylbenzene (v/v, 75/25) for the NH2 cartridge; hexane–acetone (v/v, 90/10) for the florisil cartridge; and methanol–water (v/v, 90/10) for the C18 cartridge) was used for the elution of imidacloprid. The purification efficiency was also illustrated by recovery, which was calculated by dividing the peak area of imidacloprid from a pre-extraction spiked sample by the peak area of imidacloprid from a post-extraction spiked sample. As shown in Figure 1B, the recovery of the C18 cartridge was too small (21~62%) to achieve a suitable purification efficiency. C18 mainly extracts weakly polar compounds (polycyclic aromatic hydrocarbons, phthalates, and polychlorinated biphenyls), while imidacloprid is a polar compound, which may be the cause of the low recovery [28]. When the SPE cartridge was a florisil cartridge, the recoveries of bamboo shoot, winter jujube, fresh D. officinale, and fresh and dry Fritillaria were all suitable (79~92%) but not of dry D. officinale (60% lower recovery). Moreover, compared with the C18 (21~62%) and florisil (60~92%) cartridges, the NH2 cartridge had a higher recovery (81~108%). Therefore, we ultimately chose NH2 for the purification method for our research.

3.1.3. Optimization of MS Parameters

In order to improve the selectivity and sensitivity of the instrument, the main ion parameters (cone voltage, collision energy, etc.) were optimized. The imidacloprid standard solution with a concentration of 0.2 mg·L−1 was mixed with the mobile phase (acetonitrile/aqueous 0.1% formic acid = 50:50, flow rate: 0.2 mL·min−1) in the combined mode and injected into the mass spectrometer. The parent ion was found by adjusting the capillary voltage and the cone voltage. The intellistart automatic optimization function was used to obtain the optimal cone voltage and collision energy, and the qualitative ion and quantitative ion pairs were determined. The detailed optimized parameters are summarized in Section 2.5.

3.1.4. Method Validation

To evaluate the performance of the established method, the method was validated in terms of the matrix effect (ME), linearity, precision and accuracy, limit of detection (LOD), and limit of quantification (LOQ).
The ME resulting from the matrix co-eluting components was unavoidable when measuring pesticide residues, which can be evaluated by comparing the solvent calibration curves and matrix-matched calibration curves [29]. The results in Table 1 show a significant signal suppression effect for imidacloprid in dry Fritillaria (ME = −25.36%). The other matrices observed were moderate, with the bamboo shoot at 2.15%, winter jujube at −8.11%, fresh D. officinale at −14.37%, dry D. officinale at −17.92%, and fresh Fritillaria at −16.26%. These results indicated that the signal response of imidacloprid was influenced by the above matrices, especially dry Fritillaria. Therefore, to acquire more reliable results, the quantification of imidacloprid residues was performed with matrix-matched calibration in this study. To compensate for the ME, the linearity of the method was performed by using matrix-matched standard solutions at 7 concentrations within 0.00005/0.0001~0.1 mg·L−1. Linearity was evaluated using the regression coefficient (R2), and it was determined by plotting the peak area (y) against the concentrations (x) of imidacloprid. All the R2 values of bamboo shoot, winter jujube, fresh and dry D. officinale, and fresh and dry Fritillaria ranged from 0.9987 to 1.0000, which satisfied the requirements of the residue analysis.
To evaluate the precision and accuracy of the present method, three concentration levels of imidacloprid standard solution (Table 2) were spiked into the blank bamboo shoot, winter jujube, fresh and dry D. officinale, and fresh and dry Fritillaria samples in five replicates. The representative chromatograms of the blank, matrix-matched standard solution, and fortified samples for the different commodities are shown in Figure 2. The average recoveries ranged from 72% to 111% (98~102% for bamboo shoot, 88~107% for winter jujube, 85~104% for fresh D. officinale, 87~111% for dry D. officinale, 87~93% for fresh Fritillaria, and 72~82% for dry Fritillaria), with the associated relative standard deviations (RSDs) in the range of 1~7%, 1~6%, 3~5%, 3~5%, 2~13%, and 1~4% for the respective matrices. These results confirmed that the method met the requirements of the validation criteria. LOD was 0.0001 mg·kg−1 in bamboo shoot, winter jujube, and fresh and dry Fritillaria and 0.00005 mg·kg−1 in fresh and dry D. officinale. The LOQ in all matrices was 0.01 mg·kg−1 corresponding to the lowest spiked concentration. The results showed that the analytical method had good linearity and reliability and could accurately detect imidacloprid.

3.2. Residues of Imidacloprid in Bamboo Shoot, Winter Jujube, Fresh and Dry D. officinale, and Fresh and Dry Fritillaria

Using the established method, we measured the residues of imidacloprid in bamboo shoot, winter jujube, fresh and dry D. officinale, and fresh and dry Fritillaria collected from Aba (Sichuan Province, China) and Luan (Anhui Province, China) with 48 samples per matrix. The results are shown in Table 3. Imidacloprid was found in all of the matrices, indicating frequent use of imidacloprid in the four minor crops. The detection rate of imidacloprid in the 6 substrates was: fresh D. officinale (100%) = dry D. officinale (100%) = winter jujube (100%) > dry Fritillaria (75%) > fresh Fritillaria (50%) > bamboo shoot (6%); the maximum concentration was: winter jujube (1.55 mg·kg−1) > dry D. officinale (1.28 mg·kg−1) > fresh D. officinale (0.966 mg·kg−1) > dry Fritillaria (0.063 mg·kg−1) > bamboo shoot (0.05 mg·kg−1) > fresh Fritillaria (0.021 mg·kg−1); and the median concentration was: dry D. officinale (1.08 mg·kg−1) > fresh D. officinale (0.552 mg·kg−1) > winter jujube (0.5 mg·kg−1) > dry Fritillaria (0.056 mg·kg−1) > bamboo shoot (0.05 mg·kg−1) > fresh Fritillaria (0.018 mg·kg−1). It can be seen that, compared with fresh and dry Fritillaria and bamboo shoot, the detection rates and detection concentrations of fresh and dry D. officinale and winter jujube were higher. Moreover, the difference between the maximum imidacloprid concentration of winter jujube (1.55 mg·kg−1) and fresh Fritillaria (0.021 mg·kg−1) was 74 times, and the minimum imidacloprid concentration of dry D. officinale (0.887 mg·kg−1) was 42 times greater than the maximum imidacloprid concentration of fresh Fritillaria. It can also be seen that the residues of imidacloprid in the different crops varied greatly, which might be affected by various factors, including crop type, pesticide dosage, weather conditions, etc. [30,31]. In different states of the same crop, the residues of imidacloprid were also different. For example, imidacloprid residues in dry D. officinale (or dry Fritillaria) were higher than in fresh D. officinale (or fresh Fritillaria), which might be caused by drying reducing the water content [32]. In addition, imidacloprid may be metabolized into 6-chloronicotinic acid and imidacloprid-olefin in the environment, which still has high toxicity to target pests [33]. In all matrices, imidacloprid did not exceed the maximum residue limit (MRL) set by the national standard GB 2763-2021 [26], indicating that the residues of imidacloprid in the Aba and Luan samples were within a reasonable range.

3.3. Dietary Risk Assessment of Imidacloprid in Bamboo Shoot, Winter Jujube, Fresh and Dry D. officinale, and Fresh and Dry Fritillaria

Currently, the presence of pesticide residues in food has drawn mounting concern from the public. Consequently, risk quotient (RQ) values were calculated in order to assess the dietary exposure risk for Chinese consumers. RQ refers to a point estimate of the measured or predicted exposure concentration divided by a toxicity reference value. Typically, if RQ values are >100%, it indicates an unacceptable risk for common consumers. If RQ values are < 100%, it presents an acceptable risk to human health.

3.3.1. Long-Term Consumer Exposure

Based on the residue results obtained in this study, dietary exposures for different food categories were calculated. All residue data and food categories are shown in Table 4. Based on the GB 2763-2021 reports, the acceptable daily intake (ADI) of imidacloprid was 0.06 mg·kg−1 bw [26]. The average adult body weight was 63 kg [34]. The default assumption was that all of the registered crops were treated with imidacloprid. The total national estimated daily intake (NEDI) for imidacloprid was computed using the median residues (MNs) detected in this study. We classified bamboo shoot into the light-colored vegetables, winter jujube into the fruits, and D. officinale and Fritillaria into the soy sauce group (in accordance with the principle of maximizing risk, dry D. officinale was selected as the soy sauce group). As displayed in Table 3, the MNs of imidacloprid in bamboo shoot, winter jujube, and dry D. officinale were 0.05, 0.5, and 1.08 mg·kg−1, respectively. The maximum residue limits (MRLs) of imidacloprid in the relevant registered crops in China were the same as the matched intake concentrations for the food category [26]. Thus, the total NEDI of imidacloprid was 0.5681 mg. Therefore, the RQc (the long-term dietary exposure risk probability) was 15.03%. As this was not beyond 100%, the result indicated that the long-term dietary exposure risk of imidacloprid was acceptable.

3.3.2. Short-Term Consumer Exposure

The short-term dietary risk assessment was conducted using maximum residual concentrations and the maximum consumption of bamboo shoot, winter dates, fresh and dry D. officinale, and fresh and dry Fritillaria to simulate a worst-case scenario. The highest residue (HR) was acquired from the maximum residue concentration of imidacloprid in our study. The HRs of imidacloprid in bamboo shoot, winter jujube, fresh and dry D. officinale, and fresh and dry Fritillaria were 0.05, 1.55, 0.021, 0.063, 0.966, and 1.28 mg·kg−1, respectively. The consumption of large portion (LP) data of bamboo shoot, winter jujube, fresh and dry D. officinale, and fresh and dry Fritillaria were obtained from the Chinese Food Guide Pagoda, the Chinese Pharmacopoeia, and the Food and Agriculture Organization of the United Nations (FAO) [35,36,37]. The acute reference dose (ARfD) for imidacloprid was 0.4 mg·kg−1 [38]. Thus, the national estimated short-term intake (NESTI) and RQa (the short-term dietary exposure risk probability) for Chinese consumers of bamboo shoot, winter jujube, fresh and dry D. officinale, and fresh and dry Fritillaria were 0.0250 mg and 0.10%, 0.4436 mg and 1.76%, 0.0002 mg and 0.0008%, 0.0006 mg and 0.0025%, 0.0580 mg and 0.23%, and 0.0154 mg and 0.06%, respectively (Table 5). No RQa exceeded 100% which indicated that the short-term dietary exposure risk of imidacloprid in bamboo shoot, winter dates, fresh and dry D. officinale, and fresh and dry Fritillaria was acceptable for Chinese consumers.

4. Conclusions

In this study, solid-phase extraction (NH2 cartridge) coupled with the HPLC-MS/MS method was developed for the determination of imidacloprid in the four minor crops (bamboo shoot, winter jujube, fresh and dry D. officinale, and fresh and dry Fritillaria). Imidacloprid residues in 288 samples collected from Aba (Sichuan Province, China) and Luan (Anhui Province, China) were detected using this method, and the risk of dietary exposure was assessed based on the research results.
The results showed that the method exhibited satisfactory performance regarding linearity (R2 > 0.9987), accuracy (72~111% in all cases), and precision (RSDs < 13% in all cases) and provided a guarantee for the monitoring of imidacloprid in bamboo shoot, winter jujube, fresh and dry D. officinale, and fresh and dry Fritillaria in large quantities. Imidacloprid residues in the collected samples were detected in low amounts (none exceeded MRL) in all matrices, but detection rates of up to 100% were found in winter jujube and fresh and dry D. officinale, followed by dry Fritillaria (75%), fresh Fritillaria (50%), and bamboo shoot (6%). Moreover, using the risk quotient (RQ) method, long-term and short-term dietary risk assessments of imidacloprid in China were performed. The results indicated that the RQ values were below 100% (RQc, 15.03%; RQa, 0.0008~1.7604%), showing that the dietary exposure risk of imidacloprid used in bamboo shoot, winter jujube, fresh and dry D. officinale, and fresh and dry Fritillaria was acceptable for Chinese consumers.

Author Contributions

Conceptualization, C.Z.; methodology, Y.L. (Yuan Lei); validation, N.F. and H.H.; investigation, J.Y.; resources, X.W.; writing—original draft preparation, Y.L. (Yuan Lei); writing—review and editing, Y.L. (Yuqin Luo) and Y.L. (Yanjie Li); project administration, J.J.; funding acquisition, Y.L. (Yanjie Li) and X.Z. All authors have read and agreed to the published version of the manuscript.

Funding

This study was financially supported by a China Postdoctoral Science Foundation funded project (2022M652900) and the Basic Public Welfare Project of Zhejiang Province of China (No. LGN21C140006).

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The data presented in this study are available on request from the corresponding author.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Tang, W.; Wang, D.; Wang, J.; Wu, Z.; Li, L.; Huang, M.; Xu, S.; Yan, D. Pyrethroid pesticide residues in the global environment: An overview. Chemosphere 2018, 191, 990–1007. [Google Scholar] [CrossRef] [PubMed]
  2. Cao, C.; Song, Y.; Zhou, Z.; Cao, L.; Li, F.; Huang, Q. Effect of adhesion force on the height pesticide droplets bounce on impaction with cabbage leaf surfaces. Soft Matter. 2018, 14, 8030–8035. [Google Scholar] [CrossRef] [PubMed]
  3. Wang, X.; Anadón, A.; Wu, Q.; Qiao, F.; Ares, I.; Martínez-Larrañaga, M.; Yuan, Z.; Martínez, M. Mechanism of neonicotinoid toxicity: Impact on oxidative stress and metabolism. Annu. Rev. Pharmacol. 2018, 58, 471–507. [Google Scholar] [CrossRef] [PubMed]
  4. Bass, C.; Denholm, I.; Williamson, M.; Nauen, R. The global status of insect resistance to neonicotinoid insecticides. Pestic. Biochem. Physiol. 2015, 121, 78–87. [Google Scholar] [CrossRef] [Green Version]
  5. Kohl, K.L.; Harrell, L.K.; Mudge, J.F.; Subbiah, S.; Kasumba, J.; Osma, E.; Barman, A.K.; Anderson, T.A. Tracking neonicotinoids following their use as cotton seed treatments. PeerJ 2019, 7, e6805. [Google Scholar] [CrossRef]
  6. Zhang, Q.; Li, Z.; Chang, C.H.; Lou, J.L.; Zhao, M.R.; Lu, C. Potential human exposures to neonicotinoid insecticides: A review. Environ. Pollut. 2018, 236, 71–81. [Google Scholar] [CrossRef]
  7. Bonmatin, J.M.; Giorio, C.; Girolami, V.; Goulson, D.; Kreutzweiser, D.P.; Krupke, C.; Liess, M.; Long, E.; Marzaro, M.; Mitchell, E.A.D.; et al. Environmental fate and exposure; neonicotinoids and fipronil. Environ. Sci. Pollut. Res. 2015, 22, 35–67. [Google Scholar] [CrossRef]
  8. Jeschke, P.; Nauen, R.; Schindler, M.; Elbert, A. Overview of the status and global strategy for neonicotinoids. J. Agric. Food Chem. 2011, 59, 2897–2908. [Google Scholar] [CrossRef]
  9. Lu, C.; Chang, C.H.; Palmer, C.; Zhao, M.; Zhang, Q. Neonicotinoid residues in fruits and vegetables: An integrated dietary exposure assessment approach. Environ. Sci. Technol. 2018, 52, 3175–3184. [Google Scholar] [CrossRef]
  10. Yuan, T.H.; Yu, M.T.; Ikenaka, Y.; Chen, Y.H.; Nakayama, S.F.; Chan, C.C. Characteristics of neonicotinoid and metabolite residues in Taiwanese tea leaves. J. Sci. Food Agric. 2022, 102, 341–349. [Google Scholar] [CrossRef]
  11. Yu, Y.; Wang, S.; Zhang, Q.; Yang, Y.; Chen, Y.; Liu, X.; Feng, C.; Hu, D.; Lu, P. Dissipation, residues, and risk assessment of imidacloprid in Zizania latifolia and purple sweet potato under field conditions using LC-MS/MS. J. Environ. Sci. Health B 2019, 54, 89–97. [Google Scholar] [CrossRef] [PubMed]
  12. Cimino, A.M.; Boyles, A.L.; Thayer, K.A.; Perry, M.J. Effects of neonicotinoid pesticide exposure on human health: A systematic review. Environ. Health Perspect. 2017, 125, 155–162. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  13. Xu, Z.R.; Yuan, X.X.; Chen, R.M.; Wei, H.Y.; Chen, L.Q.; Du, H.W.; Li, G.M.; Yang, Y.; Chen, X.J.; Fang, X.; et al. Association between new onset type 1 diabetes and real-world antibiotics and neonicotinoids’ exposure-related gut microbiota perturbation. World J. Pediatr. 2022, 18, 671–679. [Google Scholar] [CrossRef] [PubMed]
  14. Food and Agriculture Organization of the United Nations (FAO). FAO Specifications and Evaluations for Agricultural Pesticides. Available online: https://www.fao.org/fileadmin/templates/agphome/documents/Pests_Pesticides/Specs/Imidacloprid_2013.pdf (accessed on 3 February 2023).
  15. Pisa, L.; Goulson, D.; Yang, E.C.; Gibbons, D.; Sánchez-Bayo, F.; Mitchell, E.; Aebi, A.; Sluijs, J.; MacQuarrie, C.J.K.; Giorio, C.; et al. An update of the Worldwide Integrated Assessment (WIA) on systemic insecticides. Part 2: Impacts on organisms and ecosystems. Environ. Sci. Pollut. Res. 2021, 28, 11749–11797. [Google Scholar] [CrossRef] [Green Version]
  16. Lee, J.; Jung, M.W.; Lee, J.; Lee, J.; Shin, Y.; Kim, J.H. Dissipation of the insecticide cyantraniliprole and its metabolite IN-J9Z38 in proso millet during cultivation. Sci. Rep. 2019, 9, 11648. [Google Scholar] [CrossRef] [Green Version]
  17. Lamichhane, J.R.; Arendse, W.; Dachbrodt-Saaydeh, S.; Kudsk, P.; Roman, J.C.; Van Bijsterveldt-Gels, J.E.M.; Wick, M.; Messéan, A. Challenges and opportunities for integrated pest management in Europe: A telling example of minor uses. Crop Prot. 2015, 74, 42–47. [Google Scholar] [CrossRef]
  18. The State Council the People’s Republic of China. Available online: http://www.gov.cn/zhengce/zhengceku/2019-10/28/content5445981.htm (accessed on 12 February 2023).
  19. Ministry of Commerce of the People’s Republic of China. Available online: https://zycpzs.mofcom.gov.cn/html/guowuyuanxinxi/2023/2/1676357499637.html (accessed on 14 February 2023).
  20. China Pesticide Information Network. Information of Pesticide Registration. Available online: http://www.chinapesticide.org.cn/hysj/index.jhtml (accessed on 12 February 2023).
  21. Watanabe, E. Review of sample preparation methods for chromatographic analysis of neonicotinoids in agricultural and environmental matrices: From classical to state-of-the-art methods. J. Chromatogr. A 2021, 1643, 462042. [Google Scholar] [CrossRef]
  22. NY/T 788–2018; Guideline for the Testing of Pesticide Residue in Crops. Ministry of Agriculture and Rural Affairs of the People’s Republic of China: Beijing, China, 2018.
  23. Wang, W.; Teng, P.; Liu, F.; Fan, T.; Peng, Q.; Wang, Z.; Hou, T. Residue analysis and risk assessment of oxathiapiprolin and its metabolites in cucumbers under field conditions. J. Agric. Food Chem. 2019, 67, 12904–12910. [Google Scholar] [CrossRef]
  24. Han, Y.; Song, L.; Zhao, P.; Li, Y.; Zou, N.; Qin, Y.; Li, X.; Pan, C. Residue determination of glufosinate in plant origin foods using modified Quick Polar Pesticides (QuPPe) method and liquid chromatography coupled with tandem mass spectrometry. Food Chem. 2016, 197 Pt A, 730–736. [Google Scholar] [CrossRef]
  25. Zheng, Q.; Qin, D.; Yang, L.; Liu, B.; Lin, S.; Ma, Q.; Zhang, Z. Dissipation and distribution of difenoconazole in bananas and a risk assessment of dietary intake. Environ. Sci. Pollut. Res. 2020, 27, 15365–15374. [Google Scholar] [CrossRef]
  26. GB/T2763-2021; National Food Safety Standard-maximum Residue Limits for Pesticides in Food. Standardization Administration of the People’s Republic of China: Beijing, China.
  27. Tankiewicz, M.; Berg, A. Improvement of the QuEChERS method coupled with GC–MS/MS for the determination of pesticide residues in fresh fruit and vegetables. Microchem. J. 2022, 181, 107794. [Google Scholar] [CrossRef]
  28. Pérez-Magariño, S.; Ortega-Heras, M.; Cano-Mozo, E. Optimization of a solid-phase extraction method using copolymer sorbents for isolation of phenolic compounds in red wines and quantification by HPLC. J. Agric. Food Chem. 2008, 56, 11560–11570. [Google Scholar] [CrossRef] [PubMed]
  29. Díaz-Cruz, M.S.; López de Alda, M.J.; Barceló, D. Determination of antimicrobials in sludge from infiltration basins at two artificial recharge plants by pressurized liquid extraction-liquid chromatography-tandem mass spectrometry. J. Chromatogr. A 2006, 1130, 72–82. [Google Scholar] [CrossRef] [PubMed]
  30. Sun, H.; Luo, F.; Zhang, X.; Zhou, L.; Lou, Z.; Chen, Z. Residue analysis and dietary exposure risk assessment of acibenzolar-S-methyl and its metabolite acibenzolar acid in potato, garlic, cabbage, grape and tomato. Ecotoxicol. Environ. Saf. 2021, 207, 111178. [Google Scholar] [CrossRef]
  31. Zhang, Z.Y.; Liu, X.J.; Yu, X.Y.; Zhang, C.Z.; Hong, X.Y. Pesticide residues in the spring cabbage (Brassica oleracea L. var. capitata) grown in open field. Food Control 2007, 18, 723–730. [Google Scholar] [CrossRef]
  32. Yigit, N.; Velioglu, Y.S. Effects of processing and storage on pesticide residues in foods. Crit. Rev. Food Sci. Nutr. 2020, 60, 3622–3641. [Google Scholar] [CrossRef]
  33. Huang, M.; Qin, X.; Luo, X.; Yu, W.; Yang, G.; Zhang, K.; Hu, D. A liquid chromatography with tandem mass spectrometry method to simultaneously determinate chlorpyrifos, imidacloprid and imidacloprid metabolites in wheat. J. Sep. Sci. 2019, 42, 1210–1221. [Google Scholar] [CrossRef]
  34. Xu, Z.; Li, L.; Xu, Y.; Wang, S.; Zhang, X.; Tang, T.; Yu, J.; Zhao, H.; Wu, S.; Zhang, C.; et al. Pesticide multi-residues in Dendrobium officinale Kimura et Migo: Method validation, residue levels and dietary exposure risk assessment. Food Chem. 2021, 343, 128490. [Google Scholar] [CrossRef]
  35. The Chinese Dietary Guidelines. Chinese Food Guide Pagoda. Available online: http://dg.cnsoc.org/index.html (accessed on 27 January 2023).
  36. Food and Agriculture Organization of the United Nations (FAO). Report of the Joint Meeting of the FAO Panel of Experts on Pesticide Residues in Food and the Environment and the WHO Core Assessment Group on Pesticide residues. Available online: http://www.fao.org/docrep/017/i3111e/i3111e.pdf (accessed on 11 February 2023).
  37. Chinese Pharmacopoeia Commission. The Pharmacopoeia of People’s Republic of China; Medical Science Press: Beijing, China, 2020. [Google Scholar]
  38. Fu, Y.; Wang, Q.; Zhang, L.; Ling, S.; Jia, H.; Wu, Y. Dissipation, occurrence, and risk assessment of 12 pesticides in Dendrobium officinale Kimura et Migo. Ecotoxicol. Environ. Saf. 2021, 222, 112487. [Google Scholar] [CrossRef]
Figure 1. Effects of (A) type of extraction sorbent and (B) type of solid-phase extraction cartridge used in the recovery of imidacloprid from the bamboo shoot, winter jujube, fresh and dry D. officinale, and fresh and dry Fritillaria samples spiked at 0.1 mg·kg−1 (n = 3).
Figure 1. Effects of (A) type of extraction sorbent and (B) type of solid-phase extraction cartridge used in the recovery of imidacloprid from the bamboo shoot, winter jujube, fresh and dry D. officinale, and fresh and dry Fritillaria samples spiked at 0.1 mg·kg−1 (n = 3).
Agronomy 13 01076 g001
Figure 2. Representative chromatograms of imidacloprid in bamboo shoot, winter jujube, fresh and dry D. officinale, and fresh and dry Fritillaria (horizontal row) of blank, matrix-matched imidacloprid standard solution, and fortified samples with imidacloprid at certain concentration/mg·kg−1 (vertical row).
Figure 2. Representative chromatograms of imidacloprid in bamboo shoot, winter jujube, fresh and dry D. officinale, and fresh and dry Fritillaria (horizontal row) of blank, matrix-matched imidacloprid standard solution, and fortified samples with imidacloprid at certain concentration/mg·kg−1 (vertical row).
Agronomy 13 01076 g002
Table 1. Linearity range, linear equation, regression coefficient (R2), and matrix effect (ME) of imidacloprid in bamboo shoot, winter jujube, fresh and dry D. officinale, and fresh and dry Fritillaria.
Table 1. Linearity range, linear equation, regression coefficient (R2), and matrix effect (ME) of imidacloprid in bamboo shoot, winter jujube, fresh and dry D. officinale, and fresh and dry Fritillaria.
MatrixLinearity Range/mg·L−1Linear EquationR2ME/%
Bamboo shoot0.0001~0.1y = 17048060x + 6990.99992.15
Winter jujube0.0001~0.1y = 37657079x + 39660.9987−8.11
Fresh D. officinale0.00005~0.1y = 16343565x + 4580.9995−14.37
Dry D. officinale0.00005~0.1y =38362227x + 6410.9999−17.92
Fresh Fritillaria0.0001~0.1y = 16081276x + 6760.9988−16.26
Dry Fritillaria0.0001~0.1y = 37213329x + 4961.0000−25.36
Table 2. Recovery, relative standard deviation (RSD), limit of quantitation (LOQ), and limit of detection (LOD) for imidacloprid in three spiked levels from bamboo shoot, winter jujube, fresh and dry D. officinale, and fresh and dry Fritillaria.
Table 2. Recovery, relative standard deviation (RSD), limit of quantitation (LOQ), and limit of detection (LOD) for imidacloprid in three spiked levels from bamboo shoot, winter jujube, fresh and dry D. officinale, and fresh and dry Fritillaria.
MatrixSpiked Level
/mg·kg−1
Recovery
/%
RSD
/%
LOQ
/mg·kg−1
LOD
/mg·kg−1
Bamboo shoot0.019970.010.0001
0.11024
3981
Winter jujube0.0110760.010.0001
0.5881
5893
Fresh D. officinale0.0110450.010.00005
0.5853
2903
Dry D. officinale0.0111150.010.00005
0.51033
3873
Fresh Fritillaria0.0187130.010.0001
0.05882
3933
Dry Fritillaria0.017940.010.0001
0.2824
3721
Table 3. Minimal, maximum, and median concentrations and detection rates of imidacloprid in collected samples.
Table 3. Minimal, maximum, and median concentrations and detection rates of imidacloprid in collected samples.
MatrixMin
/mg·kg−1
Max
/mg·kg−1
Median
/mg·kg−1
Detection Rate
/%
MRL
/mg·kg−1
Bamboo shootn.d. *0.050 0.050 60.1
Winter jujube0.048 1.550 0.500 1005
Fresh D. officinale0.192 0.966 0.552 1002
Dry D. officinale0.887 1.280 1.080 1003
Fresh Fritillarian.d.0.021 0.018 500.05
Dry Fritillarian.d.0.063 0.056 750.2
* n.d. = non-detect.
Table 4. The long-term dietary risk assessment of imidacloprid in different food.
Table 4. The long-term dietary risk assessment of imidacloprid in different food.
Food CategoryCommodityFI 1
/kg·day−1
MRL 2
/mg·kg−1
Source of Reference LimitNEDI 4
/mg
ADI 5
/mg·kg−1
RQc 6
/%
Rice cereals and rice productsrice0.23990.05China0.012ADI × 63
Wheat cereals and wheat productswheat0.13850.05China0.006925
Other cereal grainsmaize0.02330.05China0.001165
Potatoespotato0.04950.5China0.02475
Dried beans and their productsbeans(dry)0.0160.05China0.0008
Dark-colored vegetablesspinach0.09155China0.4575
Light-colored vegetablesbamboo shoot0.18370.05MN 30.009185
Pickles 0.0103
Fruitswinter jujube0.04570.5MN0.02285
Nuts 0.0039
Livestock and poultry 0.0795
Milk and milk products 0.0263
Egg and egg products 0.0236
Fish and fish products 0.0301
Oilseeds and oilpeanut kernel0.03270.5China0.01635
Animal-origin oil and fat 0.0087
Sugars and starchsugarcane0.00440.2China0.00088
Salttea0.0120.5China0.006
Soy saucedry D. officinale0.0091.08MN0.00972
Total 1.0286 0.56813.7815.03
1 FI, recommended dietary food intake for its corresponding food classification; 2 MRL, maximum residue limit of the relevant registered crops in China obtained from GB 2763-2021; 3 MN, the median concentration in this random sample test; 4 NEDI, national estimated daily intake; 5 ADI, acceptable daily intake; 6 RQc, the long-term dietary exposure risk probability.
Table 5. The short-term dietary risk assessment of imidacloprid in bamboo shoot, winter jujube, fresh and dry D. officinale, and fresh and dry Fritillaria.
Table 5. The short-term dietary risk assessment of imidacloprid in bamboo shoot, winter jujube, fresh and dry D. officinale, and fresh and dry Fritillaria.
MatrixHR 1/mg·kg−1LP 2/kgNESTI 3/mgRQa 4/%
Bamboo shoot0.0500.5000.025000.0992
Winter jujube1.5500.28620.443611.7604
Fresh Fritillaria0.0210.01000.000210.0008
Dry Fritillaria0.0630.01000.000630.0025
Fresh D. officinale0.9660.06000.057960.2300
Dry D. officinale1.2800.01200.015360.0610
1 HR, highest residue; 2 LP, large portion; 3 NESTI, national estimated short-term intake; 4 RQa, the short-term dietary exposure risk probability.
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Lei, Y.; Luo, Y.; Fang, N.; Li, Y.; Wang, X.; He, H.; Jiang, J.; Yu, J.; Zhang, C.; Zhao, X. Residues and Dietary Risk Assessment of Imidacloprid in Bamboo Shoot (Phyllostachys praecox), Winter Jujube (Ziziphus jujuba Mill. cv. Dongzao), Dendrobium officinale Kimura et Migo, and Fritillaria. Agronomy 2023, 13, 1076. https://doi.org/10.3390/agronomy13041076

AMA Style

Lei Y, Luo Y, Fang N, Li Y, Wang X, He H, Jiang J, Yu J, Zhang C, Zhao X. Residues and Dietary Risk Assessment of Imidacloprid in Bamboo Shoot (Phyllostachys praecox), Winter Jujube (Ziziphus jujuba Mill. cv. Dongzao), Dendrobium officinale Kimura et Migo, and Fritillaria. Agronomy. 2023; 13(4):1076. https://doi.org/10.3390/agronomy13041076

Chicago/Turabian Style

Lei, Yuan, Yuqin Luo, Nan Fang, Yanjie Li, Xiangyun Wang, Hongmei He, Jinhua Jiang, Jianzhong Yu, Changpeng Zhang, and Xueping Zhao. 2023. "Residues and Dietary Risk Assessment of Imidacloprid in Bamboo Shoot (Phyllostachys praecox), Winter Jujube (Ziziphus jujuba Mill. cv. Dongzao), Dendrobium officinale Kimura et Migo, and Fritillaria" Agronomy 13, no. 4: 1076. https://doi.org/10.3390/agronomy13041076

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