Calcium Hexacyanoferrate Nanozyme Enhances Plant Stress Resistance by Oxidative Stress Alleviation and Heavy Metal Removal.
Xiu ShenZhenyu YangXinyue DaiWei FengPing LiYu ChenPublished in: Advanced materials (Deerfield Beach, Fla.) (2024)
Oxidative damage, exacerbated by the excessive accumulation of reactive oxygen species (ROS), profoundly inhibits both crop growth and yield. Herein, a biocompatible nanozyme, calcium hexacyanoferrate nanoparticles (CaHCF NPs), targeting ROS is developed, to mitigate oxidative damage and sequestrate heavy metal ions during plant growth. Uniquely, CaHCF NPs feature multifaced enzyme-like activities, involving superoxide dismutase (SOD), catalase (CAT), peroxidase (POD), glutathione peroxidase, thiol peroxidase, and ascorbate peroxidase, which enable them to neutralize excessive ROS. Furthermore, CaHCF NPs promote calcium-cadmium exchange process, diminishing the uptake of heavy metals. Importantly, 120 µg mL -1 of CaHCF NPs alleviate the inhibitory effects of hydrogen peroxide and cadmium chloride on Arabidopsis and tomato. The activities of SOD, POD, and CAT increase by 46.2%, 74.4%, and 48.3%, respectively, meanwhile the glutathione level rises by 72.4% in Arabidopsis under cadmium stress. Moreover, CaHCF NPs boost the expression of genes associated with antioxidation, heavy metal detoxification, nutrient transport, and stress resistance. These findings unveil the significant potential of nanoplatforms equipped with nanozymes in alleviating oxidative stress in plants, which not only regulate crop growth but also substantially ameliorate yield and quality, heralding a new era in agricultural nanotechnology.
Keyphrases
- heavy metals
- hydrogen peroxide
- reactive oxygen species
- plant growth
- oxidative stress
- dna damage
- risk assessment
- health risk assessment
- nitric oxide
- health risk
- oxide nanoparticles
- cell death
- climate change
- sewage sludge
- transcription factor
- weight gain
- human health
- ischemia reperfusion injury
- stress induced
- poor prognosis
- amyotrophic lateral sclerosis
- machine learning
- deep learning
- diabetic rats
- cell wall
- cancer therapy
- signaling pathway
- anaerobic digestion
- neural network