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基于 SERS 的间接识别胆汁成分对胆囊癌和息肉的鉴别可行性研究。

Feasibility for SERS-based discrimination of gallbladder cancer from polyp by indirect recognition of components in bile.

机构信息

Department of Chemistry and Research Institute for Convergence of Basic Science, Hanyang University, Seoul, 04763, Republic of Korea.

Faculty of Chemistry, University of Science, Vietnam National University, Hanoi, Viet Nam.

出版信息

Anal Chim Acta. 2022 Aug 15;1221:340152. doi: 10.1016/j.aca.2022.340152. Epub 2022 Jul 9.

Abstract

The aqueous solution extracted from raw bile juice is composed primarily of bile salts, with lower levels of bilirubin and its derivatives. Among them, the bilirubin and bilirubin-derived metabolites are the only surface-enhanced Raman scattering (SERS)-active components. An analytical scheme indirectly responsive and able to utilize all bile components, including SERS-inactive bile salts, was explored for SERS-based discrimination of gallbladder (GB) polyp and GB cancer. Initially, the surface of a SERS substrate (Au nanodendrite on Ni foil (AuND@NiF)) was covered with an alkanethiol molecule to generate a SERS signal and attract bile components by mutual interaction. For more effective recognition of bile components, 4 independent substrates covered with 4 different alkanethiols with various functional groups (SH(CH)CH, SH(CH)NH, SH(CH)COOH, and SH(CH)OH) were prepared. The SERS peaks of each substrate clearly varied on interaction with pure bile components as well as aqueous bile samples, and the SERS peaks in each substrate were individually characteristic. When the principal component (PC) scores of spectra obtained using the SH(CH)CH- and SH(CH)OH-covered substrates were combined, the k-Nearest Neighbor-based discrimination accuracy was 100%, superior to those (90.6-96.9%) using individual substrates. The use of complementary bile component-induced spectral information provided by the two substrates was responsible for accurate discrimination. On the other hand, when bare AuND@NiF recognizing only SERS-active bilirubin derivatives was used, discrimination was unsatisfactory (accuracy: 75.0%).

摘要

从原始胆汁中提取的水溶液主要由胆汁盐组成,其中胆红素及其衍生物的含量较低。其中,胆红素和胆红素衍生的代谢物是唯一的表面增强拉曼散射(SERS)活性成分。本研究探索了一种间接响应的分析方案,能够利用包括 SERS 非活性胆汁盐在内的所有胆汁成分,用于基于 SERS 的胆囊(GB)息肉和 GB 癌的鉴别。首先,在 SERS 基底(Ni 箔上的金纳米树突(AuND@NiF))的表面覆盖一层烷硫醇分子,通过相互作用产生 SERS 信号并吸引胆汁成分。为了更有效地识别胆汁成分,制备了 4 种具有不同官能团(SH(CH)CH、SH(CH)NH、SH(CH)COOH 和 SH(CH)OH)的不同烷硫醇覆盖的 4 种独立基底。当与纯胆汁成分以及水溶液胆汁样本相互作用时,每个基底的 SERS 峰明显不同,并且每个基底的 SERS 峰都具有独特的特征。当将使用 SH(CH)CH-和 SH(CH)OH-覆盖基底获得的光谱的主成分(PC)得分进行组合时,基于 k-最近邻的判别准确率为 100%,优于使用单个基底(90.6%-96.9%)的准确率。使用两种基底互补的胆汁成分诱导的光谱信息是实现准确判别的原因。另一方面,当仅使用识别 SERS 活性胆红素衍生物的裸 AuND@NiF 时,判别效果不佳(准确率:75.0%)。

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