Development of Ag/ZIF-67/g-C3N4/GCE electrochemical sensor to detect chloramphenicol with the assistance of machine learning

被引:1
作者
Liu, Rui [1 ]
Wu, Bolin [1 ]
Liu, Rijia [1 ]
Zhang, Xin [1 ]
Sun, Yuan [1 ]
Ma, Jing [2 ]
机构
[1] Harbin Univ Commerce, Ctr Pharmaceut Engn & Technol, Harbin 150076, Peoples R China
[2] Xian Univ Architecture & Technol, Dept Chem Engn, Xian 710055, Peoples R China
基金
中国国家自然科学基金;
关键词
Antibiotic detection; Electrochemical sensor; Chloramphenicol; Machine learning; CARBON NITRIDE; ELECTRODE; HYBRID;
D O I
10.1016/j.microc.2025.113510
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
The accurate and real-time detection of antibiotics in the complex mixtures remain a significant challenge in the clinical drug monitoring, the food safety and the environmental surveillance. In this study, we developed an innovative electrochemical sensor platform, i.e. Ag/ZIF-67/g-C3N4/GCE, combined with the assistance of machine learning for the detection of chloramphenicol (CHL) in the practice pharmaceutical and urine samples. The incorporation of machine learning into the sensor design represents a key advancement, enabling the intelligent analysis and the enhanced sensing performance. The Ag/ZIF-67/g-C3N4 composite electrode exhibited remarkable electrochemical properties, including a broad linear detection range (0.01-250.00 mu mol L- 1) and an ultralow detection limit of 5.32 nmol L- 1. The sensor demonstrated excellent selectivity, reproducibility and stability, even in the complex sample matrices. For practical application, the developed sensor achieved high recovery rates (98.00-103.00 % in the pharmaceutical samples and 96.67-103.33 % in the urine samples) with the standard deviations below 2.56 % and 2.26 %, respectively. More importantly, the artificial neural network (ANN), specifically the backpropagation (BP) neural network, was applied to analyze the collected sensor data, successfully predicting and validating the CHL sensing efficiency. This study highlights the synergistic combination of the advanced materials and machine learning for the intelligent and the accurate detection of antibiotics, paving ways for the AI-powered electrochemical sensing platforms with potential applications in both health monitoring and real-world sample analysis.
引用
收藏
页数:11
相关论文
共 50 条
[41]   Efficient Electrochemical Production of Syngas from CO2 and H2O by using a Nanostructured Ag/g-C3N4 Catalyst [J].
Sastre, Francesc ;
Munoz-Batista, Mario J. ;
Kubacka, Anna ;
Fernandez-Garcia, Marcos ;
Smith, Wilson A. ;
Kapteijn, Freek ;
Makkee, Michiel ;
Gascon, Jorge .
CHEMELECTROCHEM, 2016, 3 (09) :1497-1502
[42]   Physicochemical and electrochemical characterization of CdO/g-C3N4 nanocomposite for the photoreforming of petrochemical wastewater [J].
Munusamy, Thurga Devi ;
Chin, Sim Yee ;
Khan, Md Maksudur Rahman .
MATERIALS TODAY-PROCEEDINGS, 2021, 42 :15-21
[43]   Electrochemical-Signal-Amplification Strategy for an Electrochemiluminescence Immunoassay with g-C3N4 as Tags [J].
Jin, Yuchen ;
Kang, Qi ;
Guo, Xinli ;
Zhang, Bin ;
Shen, Dazhong ;
Zou, Guizheng .
ANALYTICAL CHEMISTRY, 2018, 90 (21) :12930-12936
[44]   Graphitic carbon nitride (g-C3N4)-based electrochemical sensors for the determination of antiviral [J].
Sreenivasulu, Madasu ;
Malode, Shweta J. ;
Alqarni, Sondos Abdullah ;
Shetti, Nagaraj P. .
MATERIALS CHEMISTRY AND PHYSICS, 2024, 312
[45]   Ag2MoO4 nanoparticles encapsulated in g-C3N4 for sunlight photodegradation of pollutants [J].
Wu, Ming ;
Lv, Hongying ;
Wang, Teng ;
Ao, Zhimin ;
Sun, Hongqi ;
Wang, Chengyin ;
An, Taicheng ;
Wang, Shaobin .
CATALYSIS TODAY, 2018, 315 :205-212
[46]   Electrochemical aptasensor based on g-C3N4/rGO nanocomposite modified electrodes for antibiotics detection in raw milk [J].
Singh, Gajendar ;
Gupta, Gourang Hari ;
Verma, Arvind ;
Shaik, Karimullah ;
Kapusetti, Govinda ;
Shah, Ravi P. .
TALANTA, 2025, 287
[47]   Multifunctional g-C3N4 Nanofibers: A Template-Free Fabrication and Enhanced Optical, Electrochemical, and Photocatalyst Properties [J].
Tahir, Muhammad ;
Cao, Chuanbao ;
Mahmood, Nasir ;
Butt, Faheem K. ;
Mahmood, Asif ;
Idrees, Faryal ;
Hussain, Sajad ;
Tanveer, M. ;
Ali, Zulfiqar ;
Aslam, Imran .
ACS APPLIED MATERIALS & INTERFACES, 2014, 6 (02) :1258-1265
[48]   A novel electrochemical sensor for the detection of metronidazole in honey using the g-C3N4/MnO2/ZnO modified electrode [J].
Zhang, Siyao ;
Yu, Shiyou ;
Wang, Xin ;
Zhang, Yipeng ;
Yue, Zhenge ;
Li, Chenchen ;
Ma, Yongqiang .
JOURNAL OF FOOD COMPOSITION AND ANALYSIS, 2024, 127
[49]   Integrating experimental and machine learning approaches for predictive analysis of photocatalytic hydrogen evolution using Cu/g-C3N4 [J].
Arabaci, Bahriyenur ;
Bakir, Rezan ;
Orak, Ceren ;
Yuksel, Asli .
RENEWABLE ENERGY, 2024, 237
[50]   Preparation of MoS2-Ag/g-C3N4 Composite for Rhodamine B Degradation [J].
Ma, Tian ;
Xia, Xueqing ;
Liu, Chengbao ;
Tang, Fei ;
Jin, Tao ;
Qian, Junchao ;
Chen, Zhigang .
NANO, 2021, 16 (07)