Mesoporous TiO2 microspheres with improved efficiency for photooxidation of volatile organic compounds

Shvalagin, V. V.; Ermokhina, N. I.; Romanovska, N. I.; Barakov, Roman; Manorik, P. A.; Sapsay, V.I.; Щербаков, С. М.; Poddubnaya, O.I.; Puziy, Alexander M.

doi:10.1007/s11164-019-03896-z

Cited by 9 publications

(4 citation statements)

References 59 publications

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“…S8-9). [59][60][61]63], we have showed that TiO 2 samples obtained in a similar way under neutral conditions-microscopic particles with a well-defined spherical shape, were mesoporous TiO 2 Table 2 Synthesis conditions of meso-nc-TiO 2 samples, their specific surface area (S BET ), pore volume (V p ), pore diameter (D p ), crystallite size and phase composition V p , total pore volume, D p , pore diameter, A, anatase, R, rutile, B, brookite Experiment errors: S BET ± 2-5 m 2 /g, V p ± 0.002-0.005 сm 3 /g, D p ± 0.5-1 nm, Crystalline size ± 1 nm…”

Section: Resultsmentioning

confidence: 99%

“…It should be emphasized that anatase is the only crystalline phase (in the absence of signs of phase transformation) of mesonc-TiO 2 formed under neutral conditions. Almost all the obtained samples are highly effective photocatalysts for water reduction, gas-phase oxidation of alcohol and benzene [61][62][63][64].…”

Section: Introductionmentioning

confidence: 98%

“…Earlier, under conditions of neutral hydrolysis, samples of thermally stable meso-nc-TiO 2 with a pure anatase structure were obtained [59][60][61][62][63], demonstrating different textures with well-defined spherical morphology (microand nanospheres) and a narrow pore distribution. Calcined at 500 °C after hydrothermal treatment at 175 °C TiO 2 samples had a radically more developed porous structure compared to samples without hydrothermal treatment [59].…”

Section: Introductionmentioning

confidence: 99%

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Synthesis and characterization of different binary and ternary phase mixtures of mesoporous nanocrystalline titanium dioxide

et al. 2021

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Different phase compositions of mesoporous nanocrystalline TiO2 (meso-nc-TiO2), comprised of anatase (16–100%), rutile (0–70%) and brookite (0–52%) were obtained by sol–gel synthesis with or without hydrothermal treatment (HTT) by means of titanium tetrabutoxide and dibenzo-18-croun-6 as structure-forming agent in the presence of HCl. It was shown, that small amounts of surfactant and/or lanthanum salt as well as HTT determine phase composition and texture of meso-nc-TiO2. All samples were calcined at 500 оС and characterized by SEM, TEM, XRD and N2-adsorption/desorption isotherms. It has been established that photocatalytic properties of almost all obtained samples significantly exceed the photocatalytic activity of Evonik P-25 TiO2 in gas phase ethanol oxidation. The most active sample is characterized by phase composition of anatase (97%)-rutile (3%). It is obvious, that decrease of photocatalytic activity of sample was affected by decrease of anatase phase content. It was shown that the specific surface area of the sample is not a key factor affecting the activity of mixed-phase meso-nc-TiO2 samples in the process of ethanol oxidation.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 98%

Section: Introductionmentioning

confidence: 99%

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Synthesis and characterization of different binary and ternary phase mixtures of mesoporous nanocrystalline titanium dioxide

et al. 2021

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“…It has been mentioned before that the design and synthesis of new synthetic macrocycle materials have resulted in the rapid development of supramolecular chemistry and their applications. , Detection of VOCs with chemically based sensors has been realized with macromolecules having an appropriate molecular gap. Among these macromolecules, porphyrins, phthalocyanines, cucurbiturils, crown ethers, , cyclodextrins, and calix[ n ]arenes − are the most reported macromolecular-based chemical sensors. A new generation compound in supramolecular science for macrocyclic sensing materials is called pillararenes, which was discovered by Ogoshi .…”

Section: Introductionmentioning

confidence: 99%

Sensing Volatile Pollutants with Spin-Coated Films Made of Pillar[5]arene Derivatives and Data Validation via Artificial Neural Networks

Kursunlu,

Acikbas,

Yilmaz

et al. 2024

ACS Appl. Mater. Interfaces

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Different types of solvents, aromatic and aliphatic, are used in many industrial sectors, and long-term exposure to these solvents can lead to many occupational diseases. Therefore, it is of great importance to detect volatile organic compounds (VOCs) using economic and ergonomic techniques. In this study, two macromolecules based on pillar[5]arene, named P[5]-1 and P[5]-2, were synthesized and applied to the detection of six different environmentally volatile pollutants in industry and laboratories. The thin films of the synthesized macrocycles were coated by using the spin coating technique on a suitable substrate under optimum conditions. All compounds and the prepared thin film surfaces were characterized by NMR, Fourier transform infrared (FT-IR), elemental analysis, atomic force microscopy (AFM), scanning electron microscopy (SEM), and contact angle measurements. All vapor sensing measurements were performed via the surface plasmon resonance (SPR) optical technique, and the responses of the P[5]-1 and P[5]-2 thin-film sensors were calculated with ΔI/I o × 100. The responses of the P[5]-1 and P[5]-2 thin-film sensors to dichloromethane vapor were determined to be 7.17 and 4.11, respectively, while the responses to chloroform vapor were calculated to be 5.24 and 2.8, respectively. As a result, these thin-film sensors showed a higher response to dichloromethane and chloroform vapors than to other harmful vapors. The SPR kinetic data for vapors validated that a nonlinear autoregressive neural network was performed with exogenous input for the best molecular modeling by using normalized reflected light intensity values. It can be clearly seen from the correlation coefficient values that the nonlinear autoregressive with exogenous input artificial neural network (NARX-ANN) model for dichloromethane converged more successfully to the experimental data compared to other gases. The correlation coefficient values of the dichloromethane modeling results were approximately 0.99 and 0.98 for P[5]-1 and P[5]-2 thin-film sensors, respectively.

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Catalytic oxidation of propylene on nano-copper oxide encapsulated in SAPO-34

2021

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Mesoporous TiO2 microspheres with improved efficiency for photooxidation of volatile organic compounds

Cited by 9 publications

References 59 publications

Synthesis and characterization of different binary and ternary phase mixtures of mesoporous nanocrystalline titanium dioxide

Synthesis and characterization of different binary and ternary phase mixtures of mesoporous nanocrystalline titanium dioxide

Sensing Volatile Pollutants with Spin-Coated Films Made of Pillar[5]arene Derivatives and Data Validation via Artificial Neural Networks

Catalytic oxidation of propylene on nano-copper oxide encapsulated in SAPO-34

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