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Gold Nanoparticles on Graphene Oxide Substrate as Sensitive Nanoprobes for Rapid L‐Cysteine Detection through Smartphone‐Based Multimode Analysis
ChemistrySelect ( IF 1.9 ) Pub Date : 2018-09-17 , DOI: 10.1002/slct.201802261
Shuang Li 1, 2 , Qian Zhang 1 , Yanli Lu 1 , Dimimg Zhang 1 , Jinglong Liu 1 , Long Zhu 2 , Candong Li 2 , Lijiang Hu 3 , Jun Li 3 , Qingjun Liu 1, 2
Affiliation  

Graphene oxide is a flexible nanoscale building block, which is contributed to improve the electrical, optical, and chemical properties. Here, gold nanoparticles on graphene oxide substrate were synthesized as sensitive nanoprobes for rapid L‐cysteine detection. The smartphone‐based system with multimode analysis of red‐green‐blue (RGB), hue‐saturation‐value (HSV), hue‐saturation‐lightness (HSL), and cyan‐magenta‐yellow‐black (CMYK), were proposed for the investigation of interactions between the nanoprobes and L‐cysteine. Then, optical absorption spectra were further examined to confirm the concentration characteristics of L‐cysteine. Results suggested that gold nanoparticles on graphene oxide substrate had satisfying linearity and stability in dose‐dependent responses to L‐cysteine detection in the multimode analysis with the limit of detection at 0.06 μM. Therefore, the smartphone‐based nanoprobes system not only equipped with a high resolution camera and a powerful processor, but also was a fully automated device without additional label or complex detection. These features make it to be a convenient and efficient analysis platform for multiple fields, such as clinical application, industrial quality control, environment monitoring, and food assessment.

中文翻译:

氧化石墨烯基底上的金纳米颗粒作为灵敏的纳米探针,可通过基于智能手机的多模分析快速检测L-半胱氨酸

氧化石墨烯是一种柔性的纳米级结构单元,有助于改善电,光学和化学性能。在这里,氧化石墨烯基底上的金纳米粒子被合成为灵敏的纳米探针,用于快速检测L-半胱氨酸。提出了一种基于智能手机的系统,该系统具有红绿蓝(RGB),色相饱和度值(HSV),色相饱和度明度(HSL)和青色品红色黄黑色(CMYK)的多模分析。用于研究纳米探针和L-半胱氨酸之间的相互作用。然后,进一步检查光吸收光谱以确认L-半胱氨酸的浓度特征。结果表明,在多模式分析中,氧化石墨烯基底上的金纳米粒子在对L-半胱氨酸检测的剂量依赖性响应中具有令人满意的线性和稳定性,检测限为0.06μM。因此,基于智能手机的纳米探针系统不仅配备了高分辨率摄像头和强大的处理器,而且还是一种无需附加标签或复杂检测功能的全自动设备。这些功能使其成为适用于多个领域的便捷高效的分析平台,例如临床应用,工业质量控制,环境监测和食品评估。
更新日期:2018-09-17
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