Xiaojie Wei , Tian Tao , Ziwei Ye , Qiuju Li , Zhuo Li , Shun Mao
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引用次数: 0
Abstract
Kanamycin (KAN), a typical aminoglycoside antibiotic, has been frequently found in the environment, which causes threats to human health and ecosystems. Ultrasensitive and reliable antibiotic detection strategies are urgently needed. In this study, we propose a dual-functional MXene-based sensing strategy for antibiotic analysis. The sensing platform is fabricated by extended-gate field-effect transistor (EG-FET) with a commercial MOSFET and an extended gate as the sensing electrode. Through electrostatic interaction, Ti3C2Tx MXene nanosheets are assembled on ITO glass gate and double-stranded DNA (dsDNA) is modified on MXene surface. The dsDNA is composed of ssDNA and its complementary strand (cs-DNA). In particular, the ssDNA is the specific recognition element for KAN. KAN can compete with csDNA and disrupt the base pairing of dsDNA, causing the release of csDNA. Relying on the EG-FET sensing structure, a fluorescence detection strategy is also developed based on the quenching process of fluorophore (6-Carboxyfluorescein, 6-FAM) labeled cs-DNA (6-FAM-csDNA) on Ti3C2Tx MXene, in which the fluorescence intensity of 6-FAM is used as the signal for detecting KAN. This dual-functional MXene-based sensor offers both current response and fluorescence response signals in KAN detection. The reported sensor achieves an ultrasensitive detection performance for KAN with a detection limit of 6.44 fM. The sensor's ability to detect KAN in real water samples further demonstrates its practical application potential in complex environment. This work provides a novel dual-functional strategy for sensitive and highly specific detection of antibiotics, addressing some of the key obstacles in antibiotics detection in various applications.
期刊介绍:
Sensors & Actuators, B: Chemical is an international journal focused on the research and development of chemical transducers. It covers chemical sensors and biosensors, chemical actuators, and analytical microsystems. The journal is interdisciplinary, aiming to publish original works showcasing substantial advancements beyond the current state of the art in these fields, with practical applicability to solving meaningful analytical problems. Review articles are accepted by invitation from an Editor of the journal.