Green synthesis of nano zinc oxide and evaluation of its impact on germination and metabolic activity of Solanum lycopersicum

Singh, Arun Kumar; Singh, Niharika; Hussain, Imtiyaz; Singh, Himani; Yadav, Vikas; Singh, Shikha

doi:10.1016/j.jbiotec.2016.07.010

Cited by 135 publications

(43 citation statements)

References 37 publications

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“…The size determined by DLS is hydrodynamic diameter of NPs (includes the Brownian movement of the liquid film), which seems larger than the real particle size while XRD-defined crystalline size seems smaller than the real particle size. In contrast, SEM/TEM measures real diameter, which is greater than crystalline diameter (XRD) (29).…”

Section: Resultsmentioning

confidence: 99%

“…The absorption peak obtained at 440 nm is a characteristic peak for metallic nanoparticles, which further confirms that the reduced nanoparticles are silver (27,28), and for bulk AgNO 3 , the absorption maximum peak usually falls around 278 nm. The absorption or reflectance in the visible range directly affects the apparent color of the chemical involved (29). The XRD pattern of the green-synthesized AgNPs was carried out to affirm the crystalline nature of nanoparticles.…”

Section: Resultsmentioning

confidence: 99%

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Green synthesis of silver nanoparticles by seed of Phoenix sylvestris L. and their role in the management of cosmetics embarrassment

Qidwai

Kumar

Dikshit

2018

Green Chemistry Letters and Reviews

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Recently, green synthesis of silver nanoparticles has attracted much curiosity in the field of life science research. In the present study, we have reported a green method for synthesis of silver nanoparticles (AgNPs) using aqueous seed extract of Phoenix sylvestris L. The green synthesized nanoparticles were characterized by aids of dynamic light scattering, scanning electron microscopy, transmission electron microscopy, X-ray diffraction, and Fourier transform-infrared.Further, the study demonstrate the comparative phytochemical analysis as well as antioxidant and antibacterial activity of the extract and Phoenix sylvestris seed generated nanoparticles against acne-causing pathogens, that is, by using a DPPH-scavenging assay and broth microdilution method as well as Kirby-Bauer Disk diffusion method (recommended by CLSI), respectively. Moreover, a concentration-dependent time-kill kinetic studies were also carried out to determine their antimicrobial activity. The seed extract was found a better antioxidant and AgNPs exhibited highly biocidal agent against both the test pathogens, when compared to aqueous extracts. The results obtained indicate that seed extract of P. sylvestris is suitable for synthesizing stable silver nanoparticles, which act as excellent antimicrobial agents with promising treatments for cosmetics embarrassment. ARTICLE HISTORY

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Green synthesis of silver nanoparticles by seed of Phoenix sylvestris L. and their role in the management of cosmetics embarrassment

Qidwai

Kumar

Dikshit

2018

Green Chemistry Letters and Reviews

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“…Nanomaterials regulate plant growth and development at multiple levels [6]. For instance, the beneficial effect of nano-ZnO at low concentrations has been well documented in peanut [7], mung bean [8], and tomato [9], suggesting that nanoparticles induce the tolerance to various abiotic stresses, including drought [10], salt [11], and low temperature [12]. The alleviation of abiotic stress by nanoparticles was often associated with the enhanced antioxidant enzymes activities [13].…”

Section: Introductionmentioning

confidence: 99%

Nano-ZnO-Induced Drought Tolerance Is Associated with Melatonin Synthesis and Metabolism in Maize

Sun

Song

Guo

et al. 2020

IJMS

106

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The applications of ZnO nanoparticles in agriculture have largely contributed to crop growth regulation, quality enhancement, and induction of stress tolerance, while the underlying mechanisms remain elusive. Herein, the involvement of melatonin synthesis and metabolism in the process of nano-ZnO induced drought tolerance was investigated in maize. Drought stress resulted in the changes of subcellular ultrastructure, the accumulation of malondialdehyde and osmolytes in leaf. The nano-ZnO (100 mg L−1) application promoted the melatonin synthesis and activated the antioxidant enzyme system, which alleviated drought-induced damage to mitochondria and chloroplast. These changes were associated with upregulation of the relative transcript abundance of Fe/Mn SOD, Cu/Zn SOD, APX, CAT, TDC, SNAT, COMT, and ASMT induced by nano-ZnO application. It was suggested that modifications in endogenous melatonin synthesis were involved in the nano-ZnO induced drought tolerance in maize.

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“…The overall results illustrated that near-infrared hyperspectral imaging coupled with machine learning could be used to trace geographical origins of dry narrow-leaved oleaster fruits.2 of 13 oleaster fruits, as a traditional medicine, are used to treat many diseases in nations and countries from Central Asia to West Asia. As a medicine and food, the fruit of narrow-leaved oleaster fruits is not only a raw material for food industry processing but also a raw material for functional food and new drugs [1][2][3][4][5][6][7][8][9][10][11]. It has good prospects for development and utilization in arid and semi-arid regions of Northwest China.…”

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confidence: 99%

Application of Near-Infrared Hyperspectral Imaging with Machine Learning Methods to Identify Geographical Origins of Dry Narrow-Leaved Oleaster (Elaeagnus angustifolia) Fruits

Gao

Yan

et al. 2019

Foods

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Narrow-leaved oleaster (Elaeagnus angustifolia) fruit is a kind of natural product used as food and traditional medicine. Narrow-leaved oleaster fruits from different geographical origins vary in chemical and physical properties and differ in their nutritional and commercial values. In this study, near-infrared hyperspectral imaging covering the spectral range of 874-1734 nm was used to identify the geographical origins of dry narrow-leaved oleaster fruits with machine learning methods. Average spectra of each single narrow-leaved oleaster fruit were extracted. Second derivative spectra were used to identify effective wavelengths. Partial least squares discriminant analysis (PLS-DA) and support vector machine (SVM) were used to build discriminant models for geographical origin identification using full spectra and effective wavelengths. In addition, deep convolutional neural network (CNN) models were built using full spectra and effective wavelengths. Good classification performances were obtained by these three models using full spectra and effective wavelengths, with classification accuracy of the calibration, validation, and prediction set all over 90%. Models using effective wavelengths obtained close results to models using full spectra. The performances of the PLS-DA, SVM, and CNN models were close. The overall results illustrated that near-infrared hyperspectral imaging coupled with machine learning could be used to trace geographical origins of dry narrow-leaved oleaster fruits.2 of 13 oleaster fruits, as a traditional medicine, are used to treat many diseases in nations and countries from Central Asia to West Asia. As a medicine and food, the fruit of narrow-leaved oleaster fruits is not only a raw material for food industry processing but also a raw material for functional food and new drugs [1][2][3][4][5][6][7][8][9][10][11]. It has good prospects for development and utilization in arid and semi-arid regions of Northwest China. Its unique habitat environment and long history of planting have produced unique qualities of narrow-leaved oleaster fruits in different producing areas. The qualities of narrow-leaved oleaster fruits are different depending on their place of origin, so it is urgent to establish effective methods for identification of the place of origin of narrow-leaved oleaster fruits.At present, different scholars have isolated the bioactive components of narrow-leaved oleaster fruits [12], studied the physical and chemical properties and antioxidant properties of narrow-leaved oleaster fruits [13], used Gas Chromatography-Mass Spectrometer (GC-MS) to analyze the components of narrow-leaved oleaster fruit oil [14], and studied the diseases of narrow-leaved oleaster fruits [15]. However, there have been few studies on differentiation of the origins of narrow-leaved oleaster fruits. It is feasible to differentiate narrow-leaved oleaster fruits from different producing areas by synthesizing external morphological and microscopic characteristics and physicochemical identification of fruit powder...

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Green synthesis of nano zinc oxide and evaluation of its impact on germination and metabolic activity of Solanum lycopersicum

Cited by 135 publications

References 37 publications

Green synthesis of silver nanoparticles by seed of Phoenix sylvestris L. and their role in the management of cosmetics embarrassment

Green synthesis of silver nanoparticles by seed of Phoenix sylvestris L. and their role in the management of cosmetics embarrassment

Nano-ZnO-Induced Drought Tolerance Is Associated with Melatonin Synthesis and Metabolism in Maize

Application of Near-Infrared Hyperspectral Imaging with Machine Learning Methods to Identify Geographical Origins of Dry Narrow-Leaved Oleaster (Elaeagnus angustifolia) Fruits

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