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作 者:Qi Qu Chuan Zeng Jing Huang Mengfan Wang Wei Qi Zhimin He
机构地区:[1]School of Chemical Engineering and Technology,State Key Laboratory of Chemical Engineering,Tianjin University,Tianjin 300072,China [2]School of Life Sciences,Tianjin University,Tianjin 300072,China [3]Co-Innovation Centre of Chemistry and Chemical Engineering of Tianjin,Tianjin 300072,China [4]Tianjin Key Laboratory of Membrane Science and Desalination Technology,Tianjin 300350,China [5]Technical Centre of Gongbei Customs District of China,Zhuhai 519000,China
出 处:《Frontiers of Chemical Science and Engineering》2023年第1期15-23,共9页化学科学与工程前沿(英文版)
基 金:the National Natural Science Foundation of China(Grant Nos.21621004 and 22178260);the Tianjin Development Program for Innovation and Entrepreneurship(2018);the Cooperative Program of Technical Center of Gongbei Customs District of China(Grant No.2020GKF-0281).
摘 要:Recently,various semiconductor/metal composites have been developed to fabricate surfaceenhanced Raman spectroscopy substrates.However,low metal loading on semiconductors is still a challenge.In this study,cystine was introduced to increase the accumulation of gold nanoparticles on zinc oxide,owing to the biomineralization_property of_cystine.Morphological analysis revealed that the obtained ZnO/Au/cystine composite not only had a higher metal loading but also formed a porous structure,which is beneficial for Raman performance.Compared with ZnO/Au,the ZnO/Au/cystine substrate displayed a 40-fold enhancement in the Raman signal and a lower limit of detection(10^(-11) mol·L^(-1))in the detection of rhodamine 6G.Moreover,the substrate has favorable homogeneity and stability.Finally,ZnO/Au/cystine displayed excellent performance toward crystal violet and methylene blue in a test based on river water samples.This study provided a promising method to fabricate sensitive semiconductor/noblemetal-based surface-enhanced Ramans spectroscopy substrates for Raman detection.
关 键 词:BIOMINERALIZATION CYSTINE semiconductor/metal composite SERS detection Raman detection
分 类 号:TB33[一般工业技术—材料科学与工程]
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