摘要
Interferon-γis a kind of protein with a wide range of biological activities,which can regulate the immune function of the body,and can be used as an important marker to detect and treat bovine tuberculosis diseases.Here,a picogram-level bovine interferon-γ(BoIFN-γ)electrochemical impedance immunosensor was constructed for the first time using mesoporous silica nanospheres(MS Ns)to immobilize specific monoclonal BoIFN-y antibodies.The MS Ns and BoIFN-γimmuno sensors were characterized using scanning electron microscopy,transmission electron microscope,nitrogen adsorption experiment,X-ray photoelectron spectra,and contact angle measurements.MSNs possess a substantial specific surface area and significant hydrophilicity,and can immobilize many antibody molecules,thereby improving detection sensitivity.The immunosensor has a linear detection range from 0.001 to 10.0 ng/mL with an exceptionally low detection limit of 0.62 pg/mL.Compared to the traditional BoIFN-γanalysis method,BoIFN-γimmunosensor presents superiorities in sensitivity,wide linear range as well as short processing time.More importantly,the BoIFN-γsensor exhibits high selectivity,reliable repeatability as well as stability,providing a promising application prospect for the early diagnosis of Mycobacterium bovis infection.
基金
funded by by National Key Research and Development Program of China(2021YFD1800403)
National Natural Science Foundation of China(21475116,21575125 and 81302016)
Natural Science Foundation of Jiangsu Province(BK20221370,BK20221281)
Key University Natural Science Foundation of Jiangsu Province(20KJA150004)
the Project for Science and Technology of Yangzhou(YZ2022074,YZ2020076)
Crosscooperation project of Subei Peoples’Hospital of Jiangsu Province(SBJC220009)
the Postgraduate Research&Practice Innovation Program of Jiangsu Province(KYCX21_3203)
作者简介
Yanping Xia,have contributed equally to this work;Hui Chen,have contributed equally to this work;Ruixin Liu,have contributed equally to this work;Feng Shi,have contributed equally to this work;Chuanli Ren,renchl@163.com;Xiang Chen,chenxiang@yzu.edu.cn;Zhanjun Yang,zjyang@yzu.edu.cn
