Submitted:
27 May 2025
Posted:
28 May 2025
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Abstract
Keywords:
1. Introduction
2. Current PFAS Detection Methods
2.1. PFAS Sample Preparation and Extraction
2.2. Analysis of PFAS via Chromatography
2.3. PFAS Detection by Sensors
2.4. Nanomaterial Based Sensor
2.5. PFAS Detection by Surface-Enhanced Raman Spectroscopy
3. Conclusions
References
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| Techniques | Samples Type | Limit of Detection (LOD) | Extraction Methods | Detected PFASs | References |
|---|---|---|---|---|---|
| LC-MS/MS | Water | 0.6–8.7 ng/L | LLE | PFOA, PFOS, PFHxA, PFODA, PFHpS, PFDS | [65] |
| HPLC-MS/MS | Water | 0.01-1.15 ng/L | SPE | PFOS, PFOA, PFNA, PFHpA, PFDA, PFHxS, | [66] |
| LC-MS/MS | Milk | 0.057 ng/L (PFOA), 0.021 ng/L (PFOS) | LLE | PFNA, PFDA, PFOA, PFHpA, PFBS, PFHxS, PFOS, PFUnA | [67] |
| LC-MS/MS | Liquid Sample | 0.29–6.6 ng/L | SPE | PFOS, PFOA, PFNA, PFDA, PFBA, PFUnA, | [68] |
| LC-MS/MS | Fruits and Vegetables | 0.07 ng/g (PFOS) | SPE | PFOS, PFOA | [69] |
| HPLC-MS/MS | Sediment | 1.5–10.9 ng/L | LLE | PFOS, PFDA, PFOA, PFDoA, PFHxS, PFNA | [70] |
| HPLC-MS/MS | Cabbage, lettuce, mustard leaf, | 0.017-0.180 ng/g | Ultrasonic extraction | PFOS, PFHxS | [71] |
| LC-MS/MS | Vegetables | 0.002–3.73 ng/g | LLE | PFOS, PFOA, PFDA, PFBA, PFBS | [72] |
| HPLC-MS/MS | Surface water | 50–1790 ng/L | SPE | FOSA, MeFOSA, EtFOSA, MeFOSE | [73] |
| HPLC-MS/MS | Different Water Samples | 0.05–0.22 ng/L | SPE | PFOS and PFOA | [74] |
| Detection System | Matrix | Limit of Detection (ng/L) | Detection Range (ng/L) | References |
|---|---|---|---|---|
| Spectrofluorometer | MPA-CdS QDs | 124200 | 207000–16563000 | [79] |
| Colorimetric detection | Gold nanoparticles | - | - | [80] |
| Electro chemiluminescence | Ultrathin nanosheets of carbon nitride | 10 | 20–4000 | [81] |
| Optical | Novel SPR | 210 | 0–200000 | [82] |
| Optical density | Bio-Gold Nanoparticles | 2.5 | 2.5–75 | [83] |
| Smartphone camera | Smart sensor | 0.5 | 10000–1000000 | [12] |
| Impedimetric | PFOS | 0.0005 | 0.00005–50000 | [84] |
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