Study on effects of airborne Pb pollution on quality indicators and accumulation in tea plants using Vis-NIR spectroscopy coupled with radial basis function neural network

• Published in: Ecotoxicology and environmental safety Vol. 229; p. 113056
• Main Authors: Sanaeifar, Alireza, Zhang, Wenkai, Chen, Haitian, Zhang, Dongyi, Li, Xiaoli, He, Yong
• Format: Journal Article
• Language: English
• Published: Netherlands Elsevier Inc 01.01.2022; Elsevier
• Subjects: Airborne Pb pollution; Chemometrics; Lead; Least-Squares Analysis; Neural Networks, Computer; Quality indicators; Quality Indicators, Health Care; Quantitative determination model; Spectroscopy, Near-Infrared; Tea; Tea plant; Vis-NIR spectroscopy; Quantitative determination model; Quality indicators; Vis-NIR spectroscopy; Airborne Pb pollution; Tea plant

Tea plants that have a large leaf area mainly suffer from heavy metal accumulation in the above-ground parts through foliar uptake. With the world rapid industrialization, this pollution in tea is considered a crucial challenge due to its potential health risks. The present study proposes an innovat...