College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China.
Key Laboratory of Spectroscopy Sensing, Ministry of Agriculture and Rural Affairs, Hangzhou 310058, China.
Int J Mol Sci. 2019 Apr 8;20(7):1731. doi: 10.3390/ijms20071731.
The residues of deltamethrin (DM) and carbofuran (CBF) in soil is becoming an intractable problem causing soil hardening and environmental pollution. This paper reports a very simple method via improved reduction of chloroauric acid by the trisodium citrate method for fabricating gold nanoparticles (AuNPs), which were used as a surface enhanced Raman scattering (SERS) active colloids with the advantages of ultrasensitivity, reproducibility and chemical stability. The results demonstrated that the limits of detection (LODs) of the DM and CBF were found to be as low as 0.01 mg/L. The SERS intensity showed a good linear relationship with DM (² = 0.9908) and CBF (² = 0.9801) concentration from 0.01 to 10 mg/L. In a practical application, DM and CBF residues in soil were easily detected by SERS with the flexible AuNPs colloids, and the LODs of DM and CBF were found to be as low as 0.056 mg/kg and 0.053 mg/kg, respectively. Moreover, DM in soil could be qualitatively detected by the characteristic peaks at 560 and 1000 cm, and CBF in soil could be qualitatively detected by the characteristic peaks at 1000 and 1299 cm. The determination coefficient (R²) for DM and CBF reached 0.9176 and 0.8517 in partial least squares (PLS) model. Overall, it is believed that the prepared AuNPs can provide technical support for the accurate detection of pesticide residues in soil by SERS technique.
高效氯氰菊酯(DM)和呋喃丹(CBF)在土壤中的残留问题日益突出,导致土壤板结和环境污染。本研究采用改进的柠檬酸三钠还原氯金酸法,制备了金纳米粒子(AuNPs),并将其作为表面增强拉曼散射(SERS)活性胶体,具有灵敏度高、重现性好和化学稳定性好等优点。结果表明,DM 和 CBF 的检测限(LOD)分别低至 0.01mg/L。SERS 强度与 DM(² = 0.9908)和 CBF(² = 0.9801)浓度在 0.01 至 10mg/L 范围内呈良好的线性关系。在实际应用中,利用柔性 AuNPs 胶体很容易检测到土壤中的 DM 和 CBF 残留,DM 和 CBF 的检测限分别低至 0.056mg/kg 和 0.053mg/kg。此外,通过特征峰在 560 和 1000cm 处可定性检测土壤中的 DM,通过特征峰在 1000 和 1299cm 处可定性检测土壤中的 CBF。DM 和 CBF 的偏最小二乘法(PLS)模型的决定系数(R²)分别为 0.9176 和 0.8517。总之,所制备的 AuNPs 可为 SERS 技术准确检测土壤中农药残留提供技术支持。