A label-free diffraction-based sensing displacement immunosensor toquantify low molecular weight organic compounds

[EN] Herein we present a diffractometric immunosensor to quantify low molecular weight organic compounds in a label-free, simple, and sensitive fashion. The approach is based on patterning analyte analogues (haptens) on solid surfaces according to a diffractive structure, and then loading specific a...

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Detalhes bibliográficos
Autores: Avella-Oliver, Miquel|||0000-0002-7293-6989, Ferrando, Vicente|||0000-0002-7434-7109, Monsoriu Serra, Juan Antonio|||0000-0003-3350-7951, Puchades, Rosa|||0000-0002-9329-1593, Maquieira, Angel|||0000-0003-4641-4957
Formato: artículo
Fecha de publicación:2018
País:España
Recursos:Universitat Politècnica de València (UPV)
Repositorio:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
Idioma:inglés
OAI Identifier:oai:riunet.upv.es:10251/117898
Acesso em linha:https://riunet.upv.es/handle/10251/117898
Access Level:acceso abierto
Palavra-chave:Biograting
Diffraction-based sensing
Atrazine
Label-free
Microcontact printing
Displacement immunoassay
QUIMICA ANALITICA
MATEMATICA APLICADA
FISICA APLICADA
Descrição
Resumo:[EN] Herein we present a diffractometric immunosensor to quantify low molecular weight organic compounds in a label-free, simple, and sensitive fashion. The approach is based on patterning analyte analogues (haptens) on solid surfaces according to a diffractive structure, and then loading specific antibodies on them to be subsequently displaced by free analytes in solution. This displacement generates a measurable change in the diffractive response that enables to quantify the analyte concentration. In this study we address the fabrication, optimization, and assessment of these diffractive structures of biological probes and their application to the analysis of atrazine, an organic compound extensively used as pesticide. This immunosensor displays well-correlated dose-response curves that reach a detection limit of 1.1¿ng¿mL¿1 of atrazine in label-free conditions. From a general viewpoint, this study also aims to provide insights into exploiting this approach towards prospective in-field analysis and screening strategies to sense multiple low molecular weight compounds in label-free conditions.