Biosynthesis of CuO nanoparticles using aqueous extract of herbal tea (Stachys Lavandulifolia) flowers and evaluation of its catalytic activity

Veisi, Hojat; Karmakar, Bikash; Tamoradi, Taiebeh; Hemmati, Saba; Hekmati, Malak; Hamelian, Mona

doi:10.1038/s41598-021-81320-6

Cited by 108 publications

(44 citation statements)

References 75 publications

(64 reference statements)

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“…We developed a generic data-driven framework for an optimal control of networked systems that focuses on system failures 5 , 53 , 56 , 63 . Here, we apply this framework to the flight delay data collected in 2015.…”

Section: Discussionmentioning

confidence: 99%

“…Specifically, CARP is formulated as follows: where describes the endogenous delay dynamics on individual flights, defines the interactions among neighborhood flights through the underlying network E with N flight nodes, B is the input matrix that identifies usually a small set of driver nodes through which the input signals are entered to drive the system to a desired state. Often selection of the nodes that belong to a driver node set is difficult as different choices impose different costs of control 56 . In our application, any airport in which an aircraft of a needed size is available for timely replacement of the delayed plane can make a driver from a node representing a flight with the delayed arrival in this airport.…”

Section: Methodsmentioning

confidence: 99%

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From data to complex network control of airline flight delays

Niu

Jiang

Gao

et al. 2021

Sci Rep

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Many critical complex systems and networks are continuously monitored, creating vast volumes of data describing their dynamics. To understand and optimize their performance, we need to discover and formalize their dynamics to enable their control. Here, we introduce a multidisciplinary framework using network science and control theory to accomplish these goals. We demonstrate its use on a meaningful example of a complex network of U.S. domestic passenger airlines aiming to control flight delays. Using the real data on such delays, we build a flight delay network for each airline. Analyzing these networks, we uncover and formalize their dynamics. We use this formalization to design the optimal control for the flight delay networks. The results of applying this control to the ground truth data on flight delays demonstrate the low costs of the optimal control and significant reduction of delay times, while the costs of the delays unabated by control are high. Thus, the introduced here framework benefits the passengers, the airline companies and the airports.

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Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

From data to complex network control of airline flight delays

Niu

Jiang

Gao

et al. 2021

Sci Rep

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“…Very sharp vibrational peaks in the fingerprint region i.e., at 523 and 587 cm −1 may be assigned to the stretching vibrations of the M-O bonds (In this case Cu-O bond) [42]. Additional peaks at 1625 cm −1 and a wide FTIR band at 3427 cm −1 may be attributed to the bending and stretching vibrations, respectively for the O-H groups of physiosorbed H 2 O molecules on the surface of the leaf-shaped CuO nanosheets [43].…”

Section: H2s Gas Sensing Applications Of Cuo Nanosheetsmentioning

confidence: 99%

Ultrathin Leaf-Shaped CuO Nanosheets Based Sensor Device for Enhanced Hydrogen Sulfide Gas Sensing Application

Algadi

Kumar²,

Akhtar

et al. 2021

Chemosensors

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Herein, a simple, economical and low temperature synthesis of leaf-shaped CuO nanosheets is reported. As-synthesized CuO was examined through different techniques including field emission scanning electron microscopy (FESEM), energy dispersive spectroscopy (EDS), transmission electron microscopy (TEM), high-resolution TEM (HRTEM), X-ray diffraction (XRD), fourier transform infrared spectroscopic (FTIR) and Raman spectroscopy to ascertain the purity, crystal phase, morphology, vibrational, optical and diffraction features. FESEM and TEM images revealed a thin leaf-like morphology for CuO nanosheets. An interplanar distance of ~0.25 nm corresponding to the (110) diffraction plane of the monoclinic phase of the CuO was revealed from the HRTEM images XRD analysis indicated a monoclinic tenorite crystalline phase of the synthesized CuO nanosheets. The average crystallite size for leaf-shaped CuO nanosheets was found to be 14.28 nm. Furthermore, a chemo-resistive-type gas sensor based on leaf-shaped CuO nanosheets was fabricated to effectively and selectively detect H2S gas. The fabricated sensor showed maximum gas response at an optimized temperature of 300 °C towards 200 ppm H2S gas. The corresponding response and recovery times were 97 s and 100 s, respectively. The leaf-shaped CuO nanosheets-based gas sensor also exhibited excellent selectivity towards H2S gas as compared to other analyte gases including NH3, CH3OH, CH3CH2OH, CO and H2. Finally, we have proposed a gas sensing mechanism based upon the formation of chemo-resistive CuO nanosheets.

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“…The appearance band at a wavelength of about 585 nm after the green synthesis process, was evidence that the Cu 2þ cation became completely reduced. It has been indicated in the previous study that the surface plasmon resonance (SPR) band of copper nanoparticles obtained by green synthesis using medicinal plants provides absorption from 570 to 600 nm [19]. Surface plasmon resonance (SPR) is the manifestation of a resonance effect due to the interaction of conduction electrons of metal nanoparticles with incident photons.…”

Section: Chemical Characterisation Of Cu Npsmentioning

confidence: 99%

Biogenesis of copper nanoparticles (Cu-NPs) using leaf extract of Allium noeanum, antioxidant and in-vitro cytotoxicity

Chinnathambi

Alahmadi

Alharbi

2021

Artificial Cells, Nanomedicine, and Biotechnology

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In this research, we formulated new chemotherapeutic copper nanoparticles (Cu NPs) containing Allium noeanum Reut. ex Regel leaf for treating human endometrial cancer. For investigating the antioxidant activitiy, the 2,2-diphenyl-1-picrylhydrazyl (DPPH) test was used. MTT test was used on normal (Human umbilical vein endothelial cells (HUVECs)) and human endometrial cancer (Ishikawa, HEC-1-A, HEC-1-B, and KLE) cell lines for comparing the anti-human endometrial cancer properties of Cu(NO 3 ) 2 , A. noeanum leaf aqueous extract, and copper nanoparticles. Copper nanoparticles had high cell death and anti-human endometrial cancer effects against Ishikawa, HEC-1-A, HEC-1-B, and KLE cell lines. The IC50 of A. noeanum leaf aqueous extract and copper nanoparticles against HEC-1-B cell line were 548 and 331 mg/mL, respectively; against HEC-1-A cell line were 583 and 356 mg/mL, respectively; against KLE cell line were 609 and 411 mg/mL, respectively; and against Ishikawa cell line were 560 and 357 mg/mL, respectively. Among the above cell lines, the best result of anti-human endometrial cancer properties of copper nanoparticles was gained in the cell line of HEC-1-B. This study indicated excellent antihuman endometrial cancer potentials of copper nanoparticles containing A. noeanum in the in vitro condition.

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Biosynthesis of CuO nanoparticles using aqueous extract of herbal tea (Stachys Lavandulifolia) flowers and evaluation of its catalytic activity

Cited by 108 publications

References 75 publications

From data to complex network control of airline flight delays

From data to complex network control of airline flight delays

Ultrathin Leaf-Shaped CuO Nanosheets Based Sensor Device for Enhanced Hydrogen Sulfide Gas Sensing Application

Biogenesis of copper nanoparticles (Cu-NPs) using leaf extract of Allium noeanum, antioxidant and in-vitro cytotoxicity

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