化学
流体学
微流控
超短脉冲
硅
干涉测量
多路复用
光电子学
纳米技术
光学
电子工程
航空航天工程
激光器
工程类
物理
有机化学
材料科学
作者
Μichailia Angelopoulou,Panagiota Petrou,Eleni Makarona,Willem Haasnoot,Isabella Moser,G. Jobst,D. Goustouridis,Michèle Lees,Kalliopi Kalatzi,I. Raptis,Κωνσταντίνος Μισιακός,Sotirios Kakabakos
标识
DOI:10.1021/acs.analchem.8b02321
摘要
A silicon-based miniaturized sensor chip combined with an advanced microfluidic module for the simultaneous, label-free immunochemical determination of four allergens, bovine milk protein, peanut protein, soy protein, and gliadin, is presented. The sensor chip consists of an array of 10 broad-band Mach-Zehnder interferometers (BB-MZIs) monolithically integrated on silicon, along with their respective broad-band light sources. The BB-MZIs were biofunctionalized with the targeted allergens and their responses during immunoreaction were monitored by multiplexing their transmission spectra through an external miniaturized spectrometer. The assay is performed by running mixtures of calibrators or samples with the antibodies against the four allergens followed by an antispecies specific antibodies solution. Employing a fluidic module of nearly one-dimensional geometry, that provided for uniform delivery of the reagents, CV values <6% were achieved for the responses of the 10 BB-MZIs, allowing for reliable multianalyte determinations. The analysis is completed in 6.5 min, and the detection limits were 0.04 μg/mL for bovine k-casein, 1.0 μg/mL for peanut protein, 0.80 μg/mL for soy protein, and 0.10 μg/mL for gliadin. The assays were accurate (recoveries 88-118%) and repeatable (intra- and interassay CVs <7% for all four allergens). Finally, the sensor was evaluated by analyzing samples from a cleaning in place system (CIP) of a dairy industry and the results obtained were in good agreement with those received by the respective ELISAs. The analytical characteristics of the sensor combined with the short analysis time and the small chip size make the proposed system an ideal tool for on-site multianalyte determinations.
科研通智能强力驱动
Strongly Powered by AbleSci AI