16 January 2019:
A new aptamer sensor has been developed for the sensitive detection of AFM1 toxin in milk products. Lead author of the paper published in the journal ‘Nanomaterials’ is CNBP PhD candidate Fuyuan Zhang (pictured).
Publication title: Turn-On Fluorescence Aptasensor on Magnetic Nanobeads for Aflatoxin M1 Detection Based on an Exonuclease III-Assisted Signal Amplification Strategy.
Authors: Fuyuan Zhang, Linyang Liu, Shengnan Ni, Jiankang Deng, Guo-Jun Liu, Ryan Middleton, David W. Inglis, Shuo Wang and Guozhen Liu.
Abstract: In order to satisfy the need for sensitive detection of Aflatoxin M1 (AFM1), we constructed a simple and signal-on fluorescence aptasensor based on an autocatalytic Exonuclease III (Exo III)-assisted signal amplification strategy. In this sensor, the DNA hybridization on magnetic nanobeads could be triggered by the target AFM1, resulting in the release of a single-stranded DNA to induce an Exo III-assisted signal amplification, in which numerous G-quadruplex structures would be produced and then associated with the fluorescent dye to generate significantly amplified fluorescence signals resulting in the increased sensitivity. Under the optimized conditions, this aptasensor was able to detect AFM1 with a practical detection limit of 9.73 ng kg−1 in milk samples. Furthermore, the prepared sensor was successfully used for detection of AFM1 in the commercially available milk samples with the recovery percentages ranging from 80.13% to 108.67%. Also, the sensor performance was evaluated by the commercial immunoassay kit with satisfactory results.
1 May 2018:
CNBP PhD student at Macquarie University, Fuyuan Zhang (pictured), is first author on a new paper reporting on the development of magnetic nanobead based fluoroimmunoassays for detection of zearalenone (a toxin found in cereals).
Journal: Sensors and Actuators B: Chemical.
Publication title: Novel magnetic nanobeads-based fluoroimmunoassays for zearalenone detection in cereals using protein G as the recognition linker.
Authors: Fuyuan Zhang, Bing Liu, Guozhen Liu, Wei Sheng, Yan Zhang, Qi Liu, Shuo Wang.
Abstract: Zearalenone (ZEN) is a type of estrogenic mycotoxin commonly found in cereals. In order to satisfy the need for ultrasensitive detection of ZEN, we developed two novel magnetic nanobeads (MNBs)-based fluoroimmunoassays using protein G (PG) as recognition binder on the sensing interface. One proposed facile strategy is based on a first capture last react (FCLR) procedure while the other is a first react last capture (FRLC) format. Specifically, CdTe/CdS/ZnS quantum dots were synthesized and modified to antigen (OVA-ZEN) as the signal probes. The PG modified MNBs specifically captured the fragment crystallizable region of immunoglobulin G (IgG) with a level of orientation while avoiding the destruction of antibody’s binding sites caused by chemical coupling. Under the optimized conditions, the detection limits of 0.019 ng mL−1 and 0.049 ng mL−1 in the extract solution were obtained for the FCLR and FRLC, respectively. Furthermore, the established methods proved to be successful in detecting ZEN in real cereal samples with the detection limits being 0.6 μg kg−1 and 1.5 μg kg−1 in the FCLR and FRLC, respectively. The performance of the proposed assays was evaluated utilizing commercial ELISA kits with satisfactory results.
27 June 2017:
CNBP welcomes its latest PhD candidate Fuyuan Zhang who will study under the supervision of Center ARC Future Fellow A/Prof. Guozhen Liu at Macquarie University.
Fuyuan’s project is to develop assays to detect plant microRNA, diagnostic markers for response to pathogen or virus infection in plants, and subsequently to integrate these assays to an in vivo device for plant disease early diagnosis.
Funded by the Cotutelle PhD program between Macquarie University and Tianjin University of Science and Technology (TUST), China, Fuyuan has expertise in the design of assays for detection of toxins in food samples; the preparation of fluorescent nanomaterials; and the development of computer simulations and modelling .
Welcome to the CNBP team Fuyuan!