Key Laboratory of Modern Precision Agriculture System Integration Research, Ministry of Education China Agri-Cultural University, Beijing 100083, China.
Key Laboratory of Agricultural Information Acquisition Technology, Ministry of Agriculture China Agri-Cultural University, Beijing 100083, China.
Sensors (Basel). 2019 Nov 4;19(21):4795. doi: 10.3390/s19214795.
Volatile organic compounds (VOCs) released by plants are closely associated with plant metabolism and can serve as biomarkers for disease diagnosis. Huanglongbing (HLB), also known as citrus greening or yellow shoot disease, is a lethal threat to the multi-billion-dollar citrus industry. Early detection of HLB is vital for removal of susceptible citrus trees and containment of the disease. Gas sensors are applied to monitor the air quality or toxic gases owing to their low-cost fabrication, smooth operation, and possible miniaturization. Here, we report on the development, characterization, and application of electrical biosensor arrays based on single-walled carbon nanotubes (SWNTs) decorated with single-stranded DNA (ssDNA) for the detection of four VOCs-ethylhexanol, linalool, tetradecene, and phenylacetaldehyde-that serve as secondary biomarkers for detection of infected citrus trees during the asymptomatic stage. SWNTs were noncovalently functionalized with ssDNA using π-π interaction between the nucleotide and sidewall of SWNTs. The resulting ssDNA-SWNT hybrid structure and device properties were investigated using Raman spectroscopy, ultraviolet (UV) spectroscopy, and electrical measurements. To monitor changes in the four VOCs, gas biosensor arrays consisting of bare SWNTs before and after being decorated with different ssDNA were employed to determine the different concentrations of the four VOCs. The data was processed using principal component analysis (PCA) and neural net fitting (NNF).
植物释放的挥发性有机化合物(VOCs)与植物代谢密切相关,可作为疾病诊断的生物标志物。黄龙病(HLB)又称柑橘绿病或黄梢病,是对价值数十亿美元的柑橘产业的致命威胁。早期发现 HLB 对于去除易感柑橘树和控制疾病至关重要。由于气体传感器具有低成本制造、平稳运行和可能的小型化等优点,因此被应用于监测空气质量或有毒气体。在这里,我们报告了基于单壁碳纳米管(SWNTs)的电生物传感器阵列的开发、表征和应用,该阵列用单链 DNA(ssDNA)进行了修饰,用于检测四种 VOCs-乙基己醇、芳樟醇、十四烯和苯乙醛-它们作为感染柑橘树无症状阶段检测的次要生物标志物。ssDNA 通过核苷酸与 SWNTs 侧壁之间的π-π相互作用非共价功能化到 SWNTs 上。使用拉曼光谱、紫外(UV)光谱和电学测量研究了所得的 ssDNA-SWNT 杂化结构和器件特性。为了监测四种 VOCs 的变化,使用经过不同 ssDNA 修饰前后的裸 SWNTs 组成气体生物传感器阵列来确定四种 VOCs 的不同浓度。使用主成分分析(PCA)和神经网络拟合(NNF)对数据进行处理。