A smartphone-based nanoenzyme-modulated aptasensor using an infrared camera for rapid detection of kanamycin

被引:17
|
作者
Jiao, Fu [1 ,3 ,4 ,5 ]
Cai, Zhongyu [1 ,2 ,3 ,4 ,5 ]
机构
[1] Beihang Univ, Sch Instrumentat & Optoelect Engn, Beijing 100191, Peoples R China
[2] Beihang Univ, Sch Space & Environm, Beijing 100191, Peoples R China
[3] Beihang Univ, Inst Large scale Sci Facil, Beijing 100191, Peoples R China
[4] Beihang Univ, Ctr Zero Magnet Field Sci, Beijing 100191, Peoples R China
[5] Natl Inst Extremely Weak Magnet Field Infrastruct, Hangzhou 310000, Peoples R China
基金
中国国家自然科学基金;
关键词
Nanoenzyme; Aptamer; Photothermal; Infrared thermal; Kanamycin; POLLUTANTS; RESIDUES; MILK; GOLD;
D O I
10.1016/j.cej.2024.148699
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The detection of antibiotics in water is crucial to ensure the safety of drinking water and prevent the spread of antibiotic resistance in the environment. In this study, we present a novel strategy for the selective and sensitive detection of kanamycin (KAN) in water by combining infrared thermography with aptamer detection technology. The aptamers specific to KAN were immobilized on the surface of gold nanoparticles (AuNPs), thereby enhancing the catalytic activity of AuNPs in the 3,3 ',5,5 '-tetramethylbenzidine (TMB)-hydrogen peroxide system to produce oxidized TMB with photothermal conversion capability. KAN competitively binds to the aptamer and modulates the catalytic capacity of the AuNPs surface, resulting in different photothermal conversion capacities of the final solution. Under near-infrared laser irradiation, the target KAN concentration is converted into a measurable thermal signal. To fabricate a portable sensing setup, we integrated the device with a smartphone. The aptasensor can selectively detect KAN with a limit of detection of 1.55 ng & sdot;mL-1 and a limit of quantification of 13.62 ng & sdot;mL-1. The detection time of our sensor is real time with a reaction time of 30 min. It demonstrates excellent stability and recoveries ranging from 96.9 % to 106.1 % for practical water samples. This portable aptasensor offers rapid detection, simplicity, and affordability, enabling real -time analysis of antibiotic residues in water.
引用
收藏
页数:7
相关论文
共 50 条
  • [21] Smartphone-based Fall Detection Algorithm Using Feature Extraction
    Hsu, Yu-Wei
    Chen, Kuang-Hsuan
    Yang, Jing-Jung
    Jaw, Fu-Shan
    2016 9TH INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING, BIOMEDICAL ENGINEERING AND INFORMATICS (CISP-BMEI 2016), 2016, : 1535 - 1540
  • [22] Convolutional neural network approaches for smartphone-based rapid detection of tomato diseases
    Sentil, S.
    Paret, M. L.
    Choudhary, M.
    Tirsaiwala, M.
    Rvs, S.
    Jacob, C.
    Suresh, V.
    PHYTOPATHOLOGY, 2021, 111 (10) : 69 - 69
  • [23] A smartphone-based diagnostic platform for rapid detection of Zika, chikungunya, and dengue viruses
    Priye, Aashish
    Bird, Sara W.
    Light, Yooli K.
    Ball, Cameron S.
    Negrete, Oscar A.
    Meagher, Robert J.
    SCIENTIFIC REPORTS, 2017, 7
  • [24] Portable smartphone-based molecular test for rapid detection of Leishmania spp.
    Kobialka, Rea Maja
    Ceruti, Arianna
    Roy, Madhurima
    Roy, Sutopa
    Chowdhury, Rajashree
    Ghosh, Prakash
    Hossain, Faria
    Weidmann, Manfred
    Graf, Elena
    Bueno Alvarez, Jesus
    Moreno, Javier
    Truyen, Uwe
    Mondal, Dinesh
    Chatterjee, Mitali
    Abd El Wahed, Ahmed
    CURRENT SCIENCE, 2024, 126 (09): : 1315 - 1324
  • [25] Smartphone-based surface plasmon resonance sensing platform for rapid detection of bacteria
    Wen, Junlin
    Zhu, Yufan
    Liu, Jianbo
    He, Daigui
    RSC ADVANCES, 2022, 12 (21) : 13045 - 13051
  • [26] A smartphone-based diagnostic platform for rapid detection of Zika, chikungunya, and dengue viruses
    Aashish Priye
    Sara W. Bird
    Yooli K. Light
    Cameron S. Ball
    Oscar A. Negrete
    Robert J. Meagher
    Scientific Reports, 7
  • [27] GryphSens: A Smartphone-Based Portable Diagnostic Reader for the Rapid Detection of Progesterone in Milk
    Jang, Hyunwook
    Ahmed, Syed Rahin
    Neethirajan, Suresh
    SENSORS, 2017, 17 (05):
  • [28] Portable smartphone-based RecJf exonuclease-modulated enhanced ratiometric fluorescence bioplatform for rapid visual detection of As3+
    Wang, Li
    Pan, Yi
    Wei, Yang
    Wang, Zhengwu
    Wei, Xinlin
    FOOD CHEMISTRY, 2024, 454
  • [29] Smartphone-based molecularly imprinted sensors for rapid detection of thiamethoxam residues and applications
    Peng, Sihua
    Wang, Aqiang
    Lian, Yuyang
    Zhang, Xi
    Zeng, Bei
    Chen, Qiulin
    Yang, Heming
    Li, Jinlei
    Li, Limin
    Dan, Jianguo
    Liao, Jianjun
    Zhou, Shihao
    PLOS ONE, 2021, 16 (11):
  • [30] A Smartphone-Based System for Detecting Falls Using Anomaly Detection
    Carletti, Vincenzo
    Greco, Antonio
    Saggese, Alessia
    Vento, Mario
    IMAGE ANALYSIS AND PROCESSING (ICIAP 2017), PT II, 2017, 10485 : 490 - 499