Journal of Advanced Research · 2015 · 112 citations · 12 references
AgricultureAgronomyPlant SciencesCrop PhysiologyNanomaterialsPlant PhysiologyCrop Spectral SignaturesInfrared SpectroscopyIron OxidesMetal Oxide NanomaterialsNanomaterial CharacterizationNanoparticle CharacterizationAtomic Force Microscopy AnalysisFerrite NanoparticlesIron Oxide NanoparticlesMetal Oxide Nanoparticle SynthesisPre-sowing Seed TreatmentSpectral Element AnalysisToxicity Of Metal Oxide NanomaterialsX-ray Diffraction Analysis
The interaction of metal oxide nanoparticles with plants has not been extensively studied. An attempt has been made to examine the potential variation in peanut plant leaves due to the application of Fe 2 O 3 nanoparticle by pre-sowing technique and to compare with its bulk counterpart. Fe 2 O 3 nanoparticle was synthesized by chemical route and characterized using X-ray diffraction, atomic force and scanning electron microscopy . The Fe 2 O 3 nanoparticle and its bulk counterpart are applied to the peanut seeds by pre-soaking method at two different concentrations: 500 and 4000 ppm. A total of three replicates were chosen for each morphological and physiological measurement (at an average of three plants per replica). The Fourier transform infrared spectral analysis shows the most prominent peaks at 2923 and 1636 cm −1 , and other peaks vary due to Fe 2 O 3 stress, which was confirmed by the calculated mean ratio of the peak intensities for various frequency regions. All leaf samples show considerable increase in glycoprotein , with 500 ppm bulk and 4000 ppm nano-Fe 2 O 3 samples exhibiting a maximum increase of 73.86% and 71.45%, respectively. The total amide I and II protein content of leaf sample soaked in 500 ppm bulk Fe 2 O 3 suspension decreased to a greater extent compared with other leaf samples. The leaf samples soaked in 500 ppm concentration of both bulk and nano-Fe 2 O 3 suspension exhibited lower lipid content with total band area of 76.97 ± 0.832 and 76.31 ± 0.468, respectively. The cumulative percentage of explained variance in secondary structure of protein of all leaf samples is 83.888% in which factor 1 accounts for 51.870% and factor 2 accounts for 32.018% of the total data variance. The principal component (PC) loadings plot for the spectral range 1600–1700 cm −1 clearly shows that the PC1 factor might establish the maximum variation of the secondary structure of protein in leaf samples.
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Gulgun Cakmak‐Arslan, İnci̇ Togan, Feride Severcan · Aquatic Toxicology · 2005 · 240 citations · Full text
Yinjie Tang, Stephen Gang Wu, Li Huang et al. · Journal of Petroleum & Environmental Biotechnology · 2012 · 153 citations · Full text
E. Benedetti, Emilia Bramanti, Federico Papineschi et al. · Applied Spectroscopy · 1997 · 152 citations