Chemical Analysis of Air Particulate Matter Trapped by a Porous Material, Synthesized from Silica Fume and Sodium Alginate

Bilo, Fabjola; Zanoletti, Alessandra; Borgese, Laura; Depero, Laura E.; Bontempi, Elza

doi:10.1155/2019/1732196

Cited by 9 publications

(2 citation statements)

References 43 publications

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“…This particular shape is suitable for the capturing of fine and ultrafine PM, which is the most dangerous for human health. Various experimental designs were tested with the aim of investigating the capacity of a new porous hybrid material to trap fine and ultrafine PM [26,70]. It is estimated that the SUNSPACE ability of PM entrapment is equal to 30 g/m 2 .…”

Section: Silica Fumementioning

confidence: 99%

Review of the Reuse Possibilities Concerning Ash Residues from Thermal Process in a Medium-Sized Urban System in Northern Italy

et al. 2020

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This review paper reports a detailed characterization of some combustion or incineration residues and by-products produced in a medium-sized city in Northern Italy. The municipal solid waste incineration (MSWI) generates fly ash, which is a toxic waste. Coal fly ash (CFA) and flue gas desulfurization (FGD) derive from the thermoelectric coal plant located in the same city. Along with these ashes, silica fume and rice husk ash are also considered for the stabilization of fly ash based on their amorphous silica content with the aim to convert them into an inert material. The characterization of all the investigated ashes was performed using different techniques: X-ray diffraction, total reflection X-ray fluorescence, scanning electron microscopy, and transmission electron microscopy. The aim of this work is to describe the reuse possibilities that were proposed for these ashes, which were determined also on the basis of their structural properties. Several possible applications of the investigated ashes are proposed, and the most suitable reuse of stabilized fly ash samples seems to be the production of sustainable plastic composites. This paper shows that the reuse of the by-product materials can allow natural resources to be preserved following the principles of a circular economy.

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Section: Silica Fumementioning

confidence: 99%

Review of the Reuse Possibilities Concerning Ash Residues from Thermal Process in a Medium-Sized Urban System in Northern Italy

et al. 2020

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“…In Raman imaging, the main hot spot is to make nanomaterials enter cells through endocytosis and exocytosis and to study the properties of nanomaterials or the metabolic mechanism of cells by Raman spectroscopy scanning of cells [20]. High-resolution images could be generated by coherent anti-Stokes Raman spectroscopy (CARS), which makes it easier to identify subcellular features [21]; and stimulated Raman scattering enhances the excitation efficiency, increasing the image acquisition speed by 1000 times.…”

Section: Introductionmentioning

confidence: 99%

Super-Resolution Reconstruction of Cell Pseudo-Color Image Based on Raman Technology

Yang

Zhu

Wang

et al. 2019

Sensors

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Raman spectroscopy visualization is a challenging task due to the interference of complex background noise and the number of selected measurement points. In this paper, a super-resolution image reconstruction algorithm for Raman spectroscopy is studied to convert raw Raman data into pseudo-color super-resolution imaging. Firstly, the Raman spectrum data of a single measurement point is measured multiple times to calculate the mean value to remove the random background noise, and innovatively introduce the Retinex algorithm and the median filtering algorithm which improve the signal-to-noise ratio. The novel method of using deep neural network performs a super-resolution reconstruction operation on the gray image. An adaptive guided filter that automatically adjusts the filter radius and penalty factor is proposed to highlight the contour of the cell, and the super-resolution reconstruction of the pseudo-color image of the Raman spectrum is realized. The average signal-to-noise ratio of the reconstructed pseudo-color image sub-band reaches 14.29 db, and the average value of information entropy reaches 4.30 db. The results show that the Raman-based cell pseudo-color image super-resolution reconstruction algorithm is an effective tool to effectively remove noise and high-resolution visualization. The contrast experiments show that the pseudo-color image Kullback–Leiber (KL) entropy of the color image obtained by the method is small, the boundary is obvious, and the noise is small, which provide technical support for the development of sophisticated single-cell imaging Raman spectroscopy instruments.

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A porous hybrid material for air particulate matter reduction

Zanoletti

Carnevale

Bontempi

2021

Sorbents Materials for Controlling Environmental Pollution

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Chemical Analysis of Air Particulate Matter Trapped by a Porous Material, Synthesized from Silica Fume and Sodium Alginate

Cited by 9 publications

References 43 publications

Review of the Reuse Possibilities Concerning Ash Residues from Thermal Process in a Medium-Sized Urban System in Northern Italy

Review of the Reuse Possibilities Concerning Ash Residues from Thermal Process in a Medium-Sized Urban System in Northern Italy

Super-Resolution Reconstruction of Cell Pseudo-Color Image Based on Raman Technology

A porous hybrid material for air particulate matter reduction

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