Stellaris Somnia-inspired interlaced gold nanoarray as a novel hotspot-optimized SERS platform for food hazards detection.

IF 11.3
Journal of hazardous materials Pub Date : 2025-11-05 Epub Date: 2025-10-25 DOI:10.1016/j.jhazmat.2025.140236
Pengxiang Wang, Hong Lin, Limin Cao, Jianxin Sui, Xiudan Wang, Kaiqiang Wang
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Abstract

Surface-enhanced Raman spectroscopy (SERS) holds great promise for sensitive molecular detection across diverse fields, including environmental monitoring and food safety. However, its practical efficacy is often constrained by relatively low sensitivity and poor reproducibility over large areas. In this study, a hotspot-optimized SERS platform is developed via the interfacial co-assembly of gold nanoparticles (AuNPs) of two distinct sizes. Inspired by the clustered luminosity of stars, this Stellaris Somnia-inspired interlaced nanoarray (SSIN) features a monolayer of larger AuNPs (>90 nm) complemented by smaller AuNPs (21 nm) intercalated within interstitial gaps, significantly increasing hotspot density and SERS enhancement. This strategy enables the fabrication of highly sensitive and signal-stable nanoarrays without relying on complex anisotropic nanomaterials or laborious top-down processes. The SSIN substrate achieved exceptional detection limits of 0.392 ng/L for malachite green (MG). In real fish samples such as large yellow croaker and channel catfish, the platform successfully detected malachite green at concentrations as low as 0.5 μg/kg. The results were consistent with those obtained by HPLC-MS/MS, confirming high analytical accuracy. The substrate enabled label-free detection of trace pesticides, including difenoconazole, thiabendazole, and thiram, demonstrating broad-spectrum applicability. Moreover, the SSIN substrate maintains over 75 % of its SERS activity after 180 days of storage at room temperature, highlighting its long-term stability. This work introduces a rational, scalable, and materials-efficient co-assembly strategy to engineer robust, hotspot-dense SERS platforms. The SSIN substrate holds great promise for practical applications in environmental contaminants and food hazards monitoring and the broader field of trace analyte detection.

受Stellaris somnia启发的交错金纳米阵列作为一种新型热点优化的食品危害检测SERS平台。
表面增强拉曼光谱(SERS)在包括环境监测和食品安全在内的各个领域的敏感分子检测方面具有很大的前景。然而,其实际效果往往受到相对较低的灵敏度和大面积重现性差的限制。在这项研究中,通过两种不同尺寸的金纳米颗粒(AuNPs)的界面共组装,开发了一个热点优化的SERS平台。受恒星聚集光度的启发,这种受Stellaris somia启发的交错纳米阵列(SSIN)具有单层较大的AuNPs (bbb90 nm)和嵌入在间隙中的较小的AuNPs(21 nm),显著增加热点密度和SERS增强。这种策略使得制造高灵敏度和信号稳定的纳米阵列不依赖于复杂的各向异性纳米材料或费力的自上而下的过程。SSIN底物对孔雀石绿(MG)的检出限为0.392 ng/L。在大黄鱼和渠道鲶鱼等真实鱼类样本中,该平台成功检测到浓度低至0.5 μg/kg的孔雀石绿。结果与HPLC-MS/MS相一致,具有较高的分析精度。该底物可无标签检测微量农药,包括异虫康唑、噻苯达唑和噻美唑,具有广谱适用性。此外,SSIN底物在室温下储存180天后,其SERS活性保持在75% %以上,突出了其长期稳定性。这项工作引入了一种合理的、可扩展的、材料高效的协同组装策略,以设计健壮的、热点密集的SERS平台。SSIN衬底在环境污染物和食品危害监测以及更广泛的痕量分析物检测领域的实际应用中具有很大的前景。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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