Resumo
Bacterial, fungal and viral infections in plant systems are on the rise, most of which tend to spread quickly amongst crops. These pathogens are also gaining resistance to known treatments, which makes their early detection a priority to avoid extensive loss of crops and the spreading of disease to animal systems. In this work, we propose a microfluidic platform coupled with integrated thin-film silicon photosensors for the detection of pathogen infections in grapes. This detection was achieved by monitoring the concentration of Azelaic Acid (AzA). This small organic acid plays a significant role in the defense mechanism in plant systems. In this platform, the enzyme tyrosinase was immobilized on microbeads inside a microfluidic system. By colorimetric monitoring of the inhibitory effect of AzA on the enzyme tyrosinase in real time, it was possible, in under 10 minutes, to detect different concentrations of AzA in both buffer and spiked solutions of grape juice, in both cases with limits of detection in the 5-10 nM range. In addition, with this microfluidic device, it was possible to clearly distinguish infected from healthy grape samples at three different grape maturation points. Healthy grape samples showed AzA concentrations in the range of 10-20 nM (post-dilution) while infected samples have an estimated increase of AzA of 10-30×, results which were confirmed using HPLC. In both juice and grape samples an integrated sample preparation stage that decreases the phenol content of the solutions was required to achieve fit-for-purpose sensitivities to AzA.
Idioma original | Inglês |
---|---|
Páginas (de-até) | 4871-4879 |
Número de páginas | 9 |
Revista | The Analyst |
Volume | 144 |
Número de emissão | 16 |
DOIs | |
Estado da publicação | Publicadas - 21 ago. 2019 |
Nota bibliográfica
Publisher Copyright:© The Royal Society of Chemistry 2019.
Financiamento
Financiadoras/-es | Número do financiador |
---|---|
Fundação para a Ciência e a Tecnologia | PTDC/BBB-NAN/5927/2014, UID/Multi/04046/2013, PD/BD/128167/2016, IF/00169/2015 |
Research Units | UID/MULTI/04046/2019, UID/ NAN/50024 |