Simple and eco-friendly synthesis of recoverable zinc cobalt oxide-based ceramic nanostructure as high-performance photocatalyst for enhanced photocatalytic removal of organic contamination under solar light

Zinatloo-Ajabshir, Sahar; Heidari-Asil, Seyed Ali; Salavati‐Niasari, Masoud

doi:10.1016/j.seppur.2021.118667

Cited by 88 publications

(18 citation statements)

References 51 publications

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“…Spectroscopic measurements were and still are widely used for determination of both composition and physicochemical properties of the examined samples [1]. However, interpretation of the obtained spectra, especially in the case of multicomponent samples, is not always straightforward.…”

Section: Motivationmentioning

confidence: 99%

Do Spectra Live in the Matrix? A Brief Tutorial on Applications of Factor Analysis to Resolving Spectral Datasets of Mixtures

Kałka

Turek

2021

J Fluoresc

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In spite of a rapid growth of data processing software, that has allowed for a huge advancement in many fields of chemistry, some research issues still remain problematic. A standard example of a troublesome challenge is the analysis of multi-component mixtures. The classical approach to such a problem consists of separating each component from a sample and performing individual measurements. The advent of computers, however, gave rise to a relatively new domain of data processing – chemometry – focused on decomposing signal recorded for the sample rather than the sample itself. Regrettably, still a very few chemometric methods are practically used in everyday laboratory routines. The Authors believe that a brief ‘user-friendly’ guide-like article on several ‘flagship’ algorithms of chemometrics may, at least partly, stimulate an increased interest in the use of these techniques among researchers specializing in many fields of chemistry. In the paper, five different techniques of factor analysis are used for the analysis of a three-component system of fluorophores. These algorithms, applied on the excitation-emission spectra, recorded for the ‘unknown’ mixture, allowed to unambiguously determine its composition without the need for physical separation of the components. An example of using chemometric methods for physical chemistry research is also provided. For each presented technique of the data analysis, a short description of its theoretical background followed by an example of its practical performance is given. In addition, the Reader is supplemented with a basic information on matrix algebra, detailed experimental ‘recipes’, reference specialist literature and ready-to-use MATLAB codes. Graphical abstract

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Section: Motivationmentioning

confidence: 99%

Do Spectra Live in the Matrix? A Brief Tutorial on Applications of Factor Analysis to Resolving Spectral Datasets of Mixtures

Kałka

Turek

2021

J Fluoresc

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“…Water resources, as one of the most basic conditions for human survival and development, are essential natural and strategic resources that maintain the functions of natural ecosystems and support the evolution of socioeconomic systems (Lai et al 2018;Yang et al 2021). Currently, many countries and regions in the world are facing water resources issues, such as water resource scarcity (Zhao et al 2020a(Zhao et al , 2020b, water environment pollution (Zinatloo-Ajabshir et al 2021a, 2021c and water ecological destruction (Zinatloo-Ajabshir et al 2021b). The problems of China are mainly manifested by fewer per capita water resources, uneven spatiotemporal distribution, serious pollution, low utilization efficiency, and inconsistency with regional economic development (Qian et al 2014).…”

Section: Introductionmentioning

confidence: 99%

Study on drought events in China based on time-varying nested Archimedean-copula function

et al. 2021

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Drought forecasting, which can enable contingency actions to be implemented in advance of a drought, plays a significant role in reducing the risks and impacts of drought. In this study, a simulation framework of the occurrence probability of drought events based on nested Copula function and Gibbs sampling is proposed to effectively compensate for the high-dimensional problems and lack of initial data in traditional methods. And the precipitation data of 718 meteorological stations from 1961 to 2018 in China was analyzed. The results showed that the occurrence location of drought events was mainly concentrated from 35° to 42° north latitude and 105° to 120° east longitude, with the occurrence time mainly concentrated from September to November. The Archimedean-copula function, constructed based on latitude, longitude, and occurrence time, could precisely determine the spatiotemporal joint probability distribution of drought events (RMSE:0.01). The optimal time-varying nested Archimedean-copula functions were obtained from February to May (Spring), June to September (Summer) and October to January (Autumn and Winter). Compared to the nested Archimedean-copula function, the accuracy of Gibbs sampling and simulation based on time-varying nested Archimedean-copula function was increased by 84.05% latitude and 69.76% longitude. The results provide an effective means for scientific drought forecasting, and water resource management departments can take preventive measures at an early stage.

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“…Perovskite is derived from Calcium Titanate (CaTiO 3 ) mineral structure which is extensively used in new generation of solar cells [6][7][8]. In addition, this structure is used to remedy and protect the environment based on using Nano-based materials [9][10][11][12][13]. In [9], ZnCo 2 O 4 -Co 3 O 4 nanostructure based on using green stabilizer (Phoenix dactylifera extract) is proposed to remove environmental contaminants.…”

Section: Introductionmentioning

confidence: 99%

Optimization of sensitized perovskite solar cells with Zn–Cu–In–Se quantum dots to increase quantum efficiency

Hajian

Rajamand

2021

J Mater Sci: Mater Electron

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Perovskite solar cells are efficient units in systems with modern renewable energy sources. Increasing the efficiency of solar cells is important in photovoltaic (PV) systems. In this paper, the effect of Zn-Cu-In-Se quantum dots on the performance of thin-film perovskite solar cells is analyzed. The effect of the specification of the perovskite layer, electrical connections and quantum dots has been discussed using modeling of solar cell open-circuit voltage, shortcircuit current, spectral response, efficiency, and fill factor. Based on the simulation results, without using Zn-Cu-In-Se quantum dots, the optimal performance occurs in high and low electrode work function as 3.5 eV and 5.93 eV achieving 21.53% energy conversion efficiency. In the proposed perovskite solar cell including Zn-Cu-In-Se quantum dots, 33.56% efficiency can be obtained in the same conditions. More intensity of the electric field inside the perovskite layer and the quantum dots causes to increase the energy conversion efficiency compared to the case without quantum dots. The achievable power in case of Zn-Cu-In-Se quantum dots is 0.275 mW/cm 2 , which is 35% more than the case without these quantum dots in the solar cell. As shown in simulation results section, many improvements can be achieved via using Zn-Cu-In-Se quantum dots in the perovskite solar cell.

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Simple and eco-friendly synthesis of recoverable zinc cobalt oxide-based ceramic nanostructure as high-performance photocatalyst for enhanced photocatalytic removal of organic contamination under solar light

Cited by 88 publications

References 51 publications

Do Spectra Live in the Matrix? A Brief Tutorial on Applications of Factor Analysis to Resolving Spectral Datasets of Mixtures

Do Spectra Live in the Matrix? A Brief Tutorial on Applications of Factor Analysis to Resolving Spectral Datasets of Mixtures

Study on drought events in China based on time-varying nested Archimedean-copula function

Optimization of sensitized perovskite solar cells with Zn–Cu–In–Se quantum dots to increase quantum efficiency

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