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Advisor(s)
Abstract(s)
The ability to detect nucleic acid sequences is revolutionizing the fast identification of specific organisms,
particularly with Lab-on-a-chip systems. However, these often rely on complex processes, skilled personnel, and external control devices which limits automation. To address this, we present an automated, portable, and easyto-fabricate lab-on-chip that combines enzyme-assisted DNA signal amplification and optical detection for in-situ monitoring of zebra mussel invasive species in the environment. Zebra mussels DNA triggers enzyme-assisted signal amplification through hybridization, leading to a quantitative colorimetric response. The sensing performance exhibited enhanced sensitivity when increasing AuNPs diameter from 23.3 ± 1.6 to 67.4 ± 2.0 nm.
Quantitative colorimetric approaches displayed an LoD of 0.5 pM, 19-fold increase in sensitivity when compared to naked eye. The system enabled to discriminate single nucleotide polymorphism (SNP) for concentrations from 130 pM and to successfully analyse Zebra mussel samples from the Guadalquivir River. Experiments were conducted by the user and an automated device. The accuracy was tested with a 60 pM sample which was pretreated externally and analysed by the automated system resulting in relative error of 16.8% and 13.4%, respectively. The automated system reduced the analysis time by 1 h and 20 min, great advantage for in-situ analysis.
Description
The authors thank the Confederación Hidrográfica del Guadalquivir (Spain) for collecting field samples. This work was supported by the Partnership Agreement with Confederación Hidrográfica del Guadalquivir (Spain) for the development of a system of early detection of the zebra mussel through analysis of environmental DNA and by the project Nanotechnology Based Functional Solutions (NORTE-01–0145-FEDER-000019), supported by Norte Portugal Regional Operational Programme (NORTE2020), under the PORTUGAL 2020 Partnership Agreement, through the European Regional Development Fund.
Keywords
Plasmon coupling Signal amplification DNA sensing Nanoparticles Color sensor Automated detection
Citation
Monisha Elumalai, Andrey Ipatov, Joana Guerreiro, Marta Prado, Automated lab-on-chip for the specific detection of invasive species through environmental DNA, Sensors and Actuators B: Chemical, Volume 398, 2024, 134722, ISSN 0925-4005, https://doi.org/10.1016/j.snb.2023.134722.
Publisher
Sensors and Actuators: B. Chemical