A novel electrochemical sensor for in situ and in vivo detection of sugars based on boronic acid-diol recognition
文献类型: 外文期刊
作者: Liu, Ke 1 ; Xu, Tongyu 1 ; Li, Aixue 2 ; Zhao, Chunjiang 1 ;
作者机构: 1.Shenyang Agr Univ, Coll Informat & Elect Engn, Shenyang 110866, Peoples R China
2.Beijing Acad Agr & Forestry Sci, Res Ctr Intelligent Equipment, Beijing 100097, Peoples R China
关键词: Fructose; Glucose; Electrochemical biosensor; In situ; In vivo; Artificial neural network
期刊名称:COMPUTERS AND ELECTRONICS IN AGRICULTURE ( 影响因子:8.3; 五年影响因子:8.3 )
ISSN: 0168-1699
年卷期: 2024 年 218 卷
页码:
收录情况: SCI
摘要: An ultrasensitive electrochemical sensor has been constructed to detect fructose and glucose in plants in situ and in vivo, employing boronic acid-diol recognition. The biosensor employed screen-printed electrode (SPE) as the substrate electrode, which was modified by nanocomposite of carboxylated graphene oxide-copper-based metal-organic frameworks (GO-COOH-Cu-MOFs), poly 3-aminophenylboronic acid (PAPBA) and Nafion. Detection of fructose or glucose was accomplished through electrochemical measurement of the peak current change of the combined peak of Cu2+ and boric acid. The detection range of Nafion/PAPBA/GO-COOH-Cu-MOFs/SPE sensor for fructose and glucose are 1 nM-1 M, and its detection limit is 0.065 nM and 0.085 nM, respectively. The sensor also exhibited excellent detection selectivity and stability. In addition, artificial neural networks (ANN) models were constructed to analyze responses from the sensor to enable intelligent and accurate analysis of fructose and glucose. The as-prepared sensor was also used to in situ and in vivo detection of sugar of tomato samples at different growth stages, confirming its great application potential in precision agriculture.
- 相关文献
作者其他论文 更多>>
-
Staggered-Phase Spray Control: A Method for Eliminating the Inhomogeneity of Deposition in Low-Frequency Pulse-Width Modulation (PWM) Variable Spray
作者:Zhang, Chunfeng;Zhao, Chunjiang;Zhang, Chunfeng;Zhai, Changyuan;Zhang, Meng;Zhang, Chi;Zou, Wei;Zhao, Chunjiang;Zhang, Chunfeng;Zou, Wei;Zhai, Changyuan;Zhang, Meng;Zhao, Chunjiang
关键词:precision spray; variable spray; PWM; deposition; duty cycle; frequency
-
Eliminating Primacy Bias in Online Reinforcement Learning by Self-Distillation
作者:Li, Jingchen;Wu, Huarui;Zhao, Chunjiang;Shi, Haobin;Hwang, Kao-Shing
关键词:Online reinforcement learning; overfitting; reinforcement learning
-
Using high-throughput phenotype platform MVS-Pheno to reconstruct the 3D morphological structure of wheat
作者:Li, Wenrui;Zhao, Chunjiang;Li, Wenrui;Wu, Sheng;Wen, Weiliang;Lu, Xianju;Liu, Haishen;Zhang, Minggang;Xiao, Pengliang;Guo, Xinyu;Zhao, Chunjiang;Li, Wenrui;Wu, Sheng;Wen, Weiliang;Lu, Xianju;Liu, Haishen;Zhang, Minggang;Xiao, Pengliang;Guo, Xinyu
关键词:3D reconstruction; plant morphology; point cloud segmentation; Wheat
-
Dynamic Compressive Stress Relaxation Model of Tomato Fruit Based on Long Short-Term Memory Model
作者:Ru, Mengfei;Zhao, Chunjiang;Feng, Qingchun;Sun, Na;Li, Yajun;Sun, Jiahui;Li, Jianxun;Ru, Mengfei;Feng, Qingchun;Zhao, Chunjiang
关键词:tomato; stress relaxation; machine learning; LSTM
-
Energy and environmental evaluation and comparison of a diesel-electric hybrid tractor, a conventional tractor, and a hillside mini-tiller using the life cycle assessment method
作者:Liu, Wei;Yang, Rui;Li, Li;Zhao, Chunjiang;Li, Guanglin;Zhao, Chunjiang
关键词:Agricultural machinery; Electrification; Hybrid electric tractor; Environmental impact
-
Agricultural machinery automatic navigation technology
作者:Yao, Zhixin;Zhao, Chunjiang;Zhang, Taihong;Zhao, Chunjiang;Yao, Zhixin;Zhang, Taihong
关键词:
-
Recognition Method of Cabbage Heads at Harvest Stage under Complex Background Based on Improved YOLOv8n
作者:Tian, Yongqiang;Zhang, Taihong;Zhao, Yunjie;Zhao, Chunjiang;Wu, Huarui;Zhang, Taihong;Zhao, Yunjie;Zhang, Taihong;Zhao, Yunjie;Wu, Huarui
关键词:cabbage; recognition and localization; object detection; deep learning; automatic harvesting