Localized Surface Plasmon Resonance-Based Nanosensor for Rapid Detection of Glyphosate in Food Samples

被引:12
|
作者
Coco, Ariany Soares [1 ]
Campos, Fabiana Vasconcelos [1 ]
Diaz, Camilo Arturo Rodriguez [2 ]
Guimaraes, Marco Cesar Cunegundes [1 ]
Prado, Adilson Ribeiro [3 ]
de Oliveira, Jairo Pinto [1 ]
机构
[1] Fed Univ Espirito Santo UFES, Morphol Dept, Funct Nanomat Lab, Ave Marechal Campos 1468, BR-29040090 Vitoria, ES, Brazil
[2] Fed Univ Espirito Santo UFES, Elect Engn Dept, Telecommun Lab, Ave Fernando Ferrari 514, BR-29075910 Vitoria, ES, Brazil
[3] Fed Inst Espirito Santo IFES, Km 6-5 ES 010, BR-29173087 Vitoria, ES, Brazil
来源
BIOSENSORS-BASEL | 2023年 / 13卷 / 05期
关键词
biosensing; glyphosate; gold nanoparticles; localized surface plasmon resonance; cysteamine; anti-glyphosate antibody; GOLD-NANOPARTICLES; RAMAN; LSPR;
D O I
10.3390/bios13050512
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
In this study, we developed a biosensor based on the localized surface plasmon resonance (LSPR) phenomenon of gold nanoparticles (AuNPs) to detect the widely used herbicide glyphosate in food samples. To do so, either cysteamine or a specific antibody for glyphosate were conjugated to the surface of the nanoparticles. AuNPs were synthesized using the sodium citrate reduction method and had their concentration determined via inductively plasma coupled mass spectrometry. Their optical properties were analyzed using UV-vis spectroscopy, X-ray diffraction, and transmission electron microscopy. Functionalized AuNPs were further characterized via Fourier-transform infrared spectroscopy, Raman scattering, Zeta potential, and dynamic light scattering. Both conjugates succeeded in detecting the presence of glyphosate in the colloid, although nanoparticles functionalized with cysteamine tended to aggregate at high concentrations of the herbicide. On the other hand, AuNPs functionalized with anti-glyphosate functioned at a broad concentration range and successfully identified the presence of the herbicide in non-organic coffee samples and when it was added to an organic coffee sample. This study demonstrates the potential of AuNP-based biosensors to detect glyphosate in food samples. The low-cost and specificity of these biosensors make them a viable alternative to current methods for detecting glyphosate in foodstuffs.
引用
收藏
页数:12
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