| Literature DB >> 35807965 |
Saqib Farooq1, Bochang Chen1, Fukun Gao1, Ihsan Muhammad1, Shakeel Ahmad1, Haiyan Wu1.
Abstract
Modern agricultural production is greatly dependent on pesticide usage, which results in severe environmental pollution, health risks and degraded food quality and safety. Molecularly imprinted polymers are one of the most prominent approaches for the detection of pesticide residues in food and environmental samples. In this research, we prepared molecularly imprinted polymers for fenthion detection by using beta-cyclodextrin as a functional monomer and a room-temperature ionic liquid as a cosolvent. The characterization of the developed polymers was carried out. The polymers synthesized by using the room-temperature ionic liquid as the cosolvent had a good adsorption efficiency of 26.85 mg g-1, with a short adsorption equilibrium time of 20 min, and the results fitted well with the Langmuir isotherm model and pseudo-second-order kinetic model. The polymer showed cross-selectivity for methyl-parathion, but it had a higher selectivity as compared to acetamiprid and abamectin. A recovery of 87.44-101.25% with a limit of detection of 0.04 mg L-1 and a relative standard deviation of below 3% was achieved from soil, lettuce and grape samples, within the linear range of 0.02-3.0 mg L-1, using high-performance liquid chromatography with an ultraviolet detector. Based on the results, we propose a new, convenient and practical analytical method for fenthion detection in real samples using improved imprinted polymers with room-temperature ionic liquid.Entities:
Keywords: adsorption; fenthion; molecularly imprinted polymers; real samples; reusability; room-temperature ionic liquid
Year: 2022 PMID: 35807965 PMCID: PMC9268004 DOI: 10.3390/nano12132129
Source DB: PubMed Journal: Nanomaterials (Basel) ISSN: 2079-4991 Impact factor: 5.719
Figure 1Chemical structure of fenthion, methyl parathion, abamectin and acetamiprid.
Protocols of MIPs synthesis for fenthion.
| Polymers | Fenthion | β-CD (mmol) | HMDI (mmol) | RTIL (mL) | DMSO (mL) |
|---|---|---|---|---|---|
| M1 * | 1 | 4 | 16 | 10 | 20 |
| M2 | 1 | 4 | 16 | 15 | 15 |
| M3 | 1 | 4 | 16 | 20 | 10 |
| M4 | 1 | 8 | 20 | 10 | 20 |
| M5 | 1 | 8 | 20 | 15 | 15 |
| M6 | 1 | 8 | 20 | 20 | 10 |
| M7 | 1 | 12 | 24 | 10 | 20 |
| M6 | 1 | 12 | 24 | 15 | 15 |
| M9 | 1 | 12 | 24 | 20 | 10 |
| M10 * | 1 | 4 | 16 | 0 | 20 |
* NIPs were prepared for the mentioned polymers.
Figure 2SEM images of (A) N1, (B) M1, (C) N10, (D) M10.
Figure 3(A) TGA curves of M1 and N1, (B) TGA curves of M10 and N10.
Figure 4(A) Isothermal binding of the polymers (adsorption time: 30 min), (B) Kinetic adsorption of the polymers (concentration: 50 mg L−1, temperature 25 °C).
Langmuir, Freundlich isotherms models and Pseudo-second-order parameters for the binding of FNT on MIPs and NIPs.
| Langmuir Isotherm Model | |||
|---|---|---|---|
| Polymers | R2 | ||
| M1 | 29.70 | 0.010 | 0.997 |
| N1 | 7.92 | 0.287 | 0.992 |
| M10 | 19.35 | 0.041 | 0.994 |
| N10 | 6.96 | 0.485 | 0.984 |
|
| |||
| Polymers |
| R2 | |
| M1 | 3.905 | 9.089 | 0.946 |
| N1 | 2.461 | 1.164 | 0.955 |
| M10 | 2.650 | 3.322 | 0.949 |
| N10 | 1.201 | 0.660 | 0.944 |
|
| |||
| Polymers | Qe (mg g−1) | R2 | |
| M1 | 28.01 | 0.010 | 0.998 |
| N1 | 6.83 | 0.034 | 0.999 |
| M10 | 17.01 | 0.018 | 0.999 |
| N10 | 5.56 | 0.075 | 0.999 |
Figure 5(A) Selectivity parameters of MIPs for fenthion and its competitors, (B) Removal of template recovery (%) with different eluents, (C) Adsorption response of MIPs at different pH levels, (D) Adsorption recoveries of fenthion by MIPs in regenerated cycles.
Determination of fenthion in real samples.
| Sample | Spiked Levels (mg L−1) | Found Concentration (mg L−1) | RSD (%) | Recovery (%) |
|---|---|---|---|---|
| Soil | 0.20 | 0.186 | 1.61 | 93.00 |
| 0.10 | 0.091 | 2.08 | 91.20 | |
| 0.05 | 0.044 | 2.80 | 87.44 | |
| Lettuce | 0.20 | 0.198 | 1.31 | 99.11 |
| 0.10 | 0.097 | 1.95 | 97.41 | |
| 0.05 | 0.047 | 2.11 | 94.64 | |
| Grapes | 0.20 | 0.203 | 1.28 | 101.25 |
| 0.10 | 0.099 | 2.23 | 98.77 | |
| 0.05 | 0.048 | 2.30 | 95.60 |
Comparison of the present work with previously reported methods for FNT detection.
| Sample | Method | Recovery | RSD | LOD | LOQ | Linear Range | Reference |
|---|---|---|---|---|---|---|---|
| Olive oil | MIP-HPLC-UV | 96.1 | – | 0.005 | 0.023 | – | [ |
| Water and apple | MIP-HPLC-UV | 94.0–100.4 | 1.7–4.2 | 0.0018 | – | 0.02–10 | [ |
| Lettuce | MSPE-HPLC-UV | 89.2–101.2 | 9.1 | 0.0005 | 0.0015 | 0.0015–2.0 | [ |
| Lettuce | SPE HPLC-PDA | 96.0–104.2 | 6.2 | 0.006 | 0.02 | 0.02–0.40 | [ |
| Fruits | GC-FPD | 91–112 | 3.7 | 0.000033 | 0.00198 | 0.0001–0.1 | [ |
| Urine | SPE HPLC-UV | 92.69–95.64 | 3.75 | 0.00458 | – | 0.02–0.12 | [ |
| Soil, lettuce and grapes | MIP-HPLC-UV | 87.44–101.25 | 1.28–2.80 | 0.04 | 0.11 | 0.02–3.0 | This work |