This study developed a novel surface-enhanced Raman spectroscopy (SERS) method coupled with cellulose nanofiber (CNF)-based SERS wipers that were fabricated on quartz papers coated with a mixture of silver nanoparticle (AgNP) and gold nanostar (AuNS). A “drop-wipe-test” protocol was developed for rapid detection of pesticide residues in vegetables by SERS. Tremendously enhanced Raman scattering signals were obtained from the quartz/CNF/mixture (AgNP + AuNS) substrate, which were much higher than the paper/mixture (AgNP + AuNS) substrate. This method was used to detect ferbam on kale leaves within a few minutes and the detection limit was 50 μg/kg based on the PLS models (R² = 0.89). The enhancement factor of the SERS substrate was calculated to be ~ 10⁴ with satisfactory reproducibility. Satisfactory SERS performance could be achieved within 1-month storage period. These results demonstrate that this CNF-based SERS/wiper method is a practical approach for rapid detection of chemical contaminants in fresh produce.

这项研究开发了一种新型的表面增强拉曼光谱（SERS）方法，并结合了基于纤维素纳米纤维（CNF）的SERS擦拭器，该擦拭器是在涂有银纳米粒子（AgNP）和金纳米星（AuNS）混合物的石英纸上制造的。开发了“滴擦测试”方案，以通过SERS快速检测蔬菜中的农药残留。从石英/ CNF /混合物（AgNP + AuNS）基底获得了极大增强的拉曼散射信号，该信号大大高于纸/混合物（AgNP + AuNS）基底。该方法用于在几分钟内检测羽衣甘蓝叶上的二甲胺，基于PLS模型，检出限为50μg/ kg（R ²  = 0.89）。SERS底物的增强因子经计算约为10 ⁴具有令人满意的重现性。在1个月的存储期内可以达到令人满意的SERS性能。这些结果表明，这种基于CNF的SERS /刮水器方法是一种用于快速检测新鲜农产品中化学污染物的实用方法。