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Fabrication of graphene oxide-based pretreatment filter and Electrochemical-CRISPR biosensor for the field-ready cyanobacteria monitoring system

Authors
Kim, GahyeonLi, Yun GuangSeo, YosephBaek, ChangyoonChoi, Jin-HaPark, HyunjunAn, JeongyunLee, MyoungroNoh, SeungwooMin, JunhongLee, Taek
Issue Date
Oct-2023
Publisher
Elsevier Ltd
Keywords
Aquatic ecosystem monitoring; Biosensor; Cyanobacteria; Hand-held filter; PCR-Free detection
Citation
Biosensors and Bioelectronics, v.237
Journal Title
Biosensors and Bioelectronics
Volume
237
URI
https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/67768
DOI
10.1016/j.bios.2023.115474
ISSN
0956-5663
1873-4235
Abstract
Microcystis aeruginosa (M. aeruginosa) cause the eutrophication of lakes and rivers. To effectively control the overgrowth of M. aeruginosa, a suitable measurement method should be required in the aquatic fields. To address this, we developed a field-ready cyanobacterial pretreatment device and an electrochemical clustered regularly interspaced short palindromic repeats (EC-CRISPR) biosensor. The cyanobacterial pretreatment device consists of a syringe, glass bead, and graphene oxide (GO) bead. Then, the M. aeruginosa dissolved in the freshwater sample was added to fabricated filter. After filtration, the purified gene was loaded onto a CRISPR-based electrochemical biosensor chip to detect M. aeruginosa gene fragments. The biosensor was composed of CRISPR/Cpf1 protein conjugated with MXene on an Au microgap electrode (AuMGE) integrated into a printed circuit board (PCB). This AuMGE/PCB system maximizes the signal-to-noise ratio, which controls the working and counter electrode areas requiring only 3 μL samples to obtain high reliability. Using the extracted M. aeruginosa gene with a pre-treatment filter, the CRISPR biosensor showed a limit of detection of 0.089 pg/μl in fresh water. Moreover, selectivity test and matrix condition test carried out using the EC-CRISPR biosensor. These handheld pre-treatment kit and biosensors can enable field-ready detection of CyanoHABs. © 2023 Elsevier B.V.
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