摘要
制备了一种新颖、可靠、快速的检测平台用于检测食品中多种化学污染物。通过种子两步生长法合成出金纳米双锥体,采用消耗诱导分离法获得纯度接近100%的金纳米双锥体,利用液-液界面自组装法制备出大面积致密的金纳米双锥体表面增强拉曼散射(SERS)活性基底。研究表明,以结晶紫(CV)作为拉曼探针分子,该基底具有较好的SERS灵敏性和重复性;而且对抗生素孔雀石绿(MG)、农药残留福美双(THR)和塑化剂邻苯二甲酸卞酯(BBP)的检测灵敏性较高,检测限分别达到10^(-9)、10^(-9)、10^(-8)mol/L,对酒中BBP的检测限为1.3 mg/kg。
A novel,reliable and rapid detection platform is developed to detect various chemical pollutants in food.Gold nanobiparamid is synthesized by means of a two-step seed growth method,and then gold nanobiparamid with a purity close to 100%is obtained through consumption-induced separation method.Finally,a large-area dense gold nanobiparamid surface-enhanced Raman scattering(SERS)active substrate is prepared through a liquid-liquid interface self-assembly method.The results indicate that the prepared substrate exhibits excellent SERS sensitivity and repeatability when crystalline violet(CV)is used as Raman probe molecule.Moreover,the prepared substrate shows high detection sensitivity to malachite green(antibiotic),thiram(pesticide residues)and butyl benzyl phthalate(plasticizer)in food,with detection limits of 10^(-9)mol·L^(-1),10^(-9)mol·L^(-1)and 10^(-8)mol·L^(-1),respectively.In addition,its detection limit to butyl benzyl phthalate in wine achieves 1.3 mg·kg^(-1).
作者
栾龙龙
汪胜
张祥
王娟
汪倩倩
徐维平
LUAN Long-long;WANG Sheng;ZHANG Xiang;WANG Juan;WANG Qian-qian;XU Wei-ping(School of Chemistry and Chemical Engineering,Hefei University of Technology,Hefei 230009,China;Life Sciences and Medicine Division,University of Science and Technology of China,Hefei 230026,China;College of Pharmacy,Anhui University of Chinese Medicine,Hefei 230012,China;The First Affiliated Hospital of USTC,Division of Life Sciences and Medicine,University of Science and Technology of China,Hefei 230001,China)
出处
《现代化工》
CAS
CSCD
北大核心
2022年第2期241-246,共6页
Modern Chemical Industry
基金
国家自然科学基金项目(52072360,51672004)
安徽省科技攻关项目(1804h08020252)。
关键词
金纳米双锥体
消耗诱导分离
液-液界面自组装
表面增强拉曼光谱
食品污染物
gold nanobiparamid
consumption-induced separation
liquid-liquid interface self-assembly
surface enhanced Raman spectroscopy
food contaminants