Pretreatment-free SERS analysis of raw bile juice for identification of gall bladder disease using paper-coupled Au nanodendrite-encaged nickel foam

Pretreatment-free SERS analysis of raw bile juice for identification of gall bladder disease using paper-coupled Au nanodendrite-encaged nickel foam
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DOI:
10.1016/j.snb.2020.129238
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发表时间:
2021-02
影响因子:
8.4
通讯作者:
T. D. Vu;Woosuk Sohng;Eunjin Jang;D. Choi;Hoeil Chung
T. D. Vu;Woosuk Sohng;Eunjin Jang;D. Choi;Hoeil Chung
中科院分区:
化学1区
文献类型:
--
作者:
T. D. Vu;Woosuk Sohng;Eunjin Jang;D. Choi;Hoeil Chung

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对于用于鉴别胆囊(GB)疾病的生胆汁的无预处理Sers测量,展示了桥接Au纳米枝晶-笼状镍泡沫(PS-AuND@NF)的纸条。为了构建一种易于样品扩散和Sers产生的介质,在NF(AuND@NF)的多孔框架上构建了具有高Sers效率的Au纳米枝晶(AuND)。然后,通过简单地将AuND@ NF定位在纸条上来构建PS-AuND@NF,所述纸条用作用于将样品引入AuND@NF和随后的样品排出的通道。随着胆汁的连续洗脱,可以最大限度地减少表面增强拉曼光谱非活性成分,如脂质在Au表面的非特异性吸附。使用PS-AuND@NF,测量从6个GB息肉和21个GB结石患者获得的原始胆汁样品。由于胆汁中只有少数组分预计是SERS活性的,如含胆红素的代谢物,从Sers光谱中获得的信息是不够的描述性的GB疾病的歧视。因此,并行地进行了双迹二维(2 T2 D)相关分析,该分析能够有效地在两个光谱的比较中表征异步(不相似)光谱行为。当从2 T2 D切片光谱获得的主成分(PC)得分用于k-最近邻(k-NN)时,使用原始光谱的PC得分时获得的判别准确率从81.5%提高到88.9%。总的来说,PS-AuND@NF能够对复杂和粘稠的胆汁进行简单的无预处理Sers分析,而不会受到其他现有组分的干扰。
For pretreatment-free SERS measurement of raw bile juice for the identification of gall bladder (GB) disease, a paper strip bridging Au nanodendrite-encaged nickel foam (PS-AuND@NF) was demonstrated. To build a medium for facile sample diffusion as well as SERS generation, Au nanodendrite (AuND) with a high SERS efficiency was constructed on the porous frame of the NF (AuND@NF). Then, the PS-AuND@NF was built by simply positioning AuND@NF on a paper strip, which functioned as a channel for sample introduction to AuND@NF and a subsequent sample drain. With the continuous elution of raw bile juice, non-specific adsorption of SERS-inactive constituents such as lipids on the Au surface could be minimized. Using the PS-AuND@NF, raw bile juice samples obtained from 6 GB polyp and 21 GB stone patients were measured. Since only a few components in bile juice are expected to be SERS-active such as bilirubin-containing metabolites, the information obtained from the SERS spectra is not descriptive enough for the discrimination of both GB diseases. Therefore, two-trace two-dimensional (2T2D) correlation analysis, which is able to effectively feature out asynchronous (dissimilar) spectral behaviors in the comparison of two spectra, was carried out in parallel. When the principal component (PC) scores obtained from the 2T2D slice spectra were used for thek-nearest neighbor (k-NN), the discrimination accuracy improved to 88.9 % from 81.5 % obtained when using the PC scores of the raw spectra. Overall, the PS-AuND@NF enabled simple pretreatment-free SERS analysis of complex and viscous bile juice without interference from other existing components.