Article

1998 ◽  
Vol 76 (2) ◽  
pp. 228-233
Author(s):  
Kiyohisa Ohta ◽  
Youko Ueda ◽  
Satoshi Nakaguchi ◽  
Takayuki Mizuno

The photocatalytic reduction of CO2 using copper-loaded silicate rocks has been reported. The Cu-silicate rock powders suspended in the solution were illuminated with sunlight. Amphibolite, gneiss, granite, granodiorite, phyllite, quartzdiorite, and shale, which are quite ordinary rocks, were tested as substrates (silicate rock) of the catalyst. These catalysts were specific for the formation of formic acid. The effects of amounts of copper, illumination time, and temperature were investigated on photoreduction of CO2. The 30% Cu-loaded quartzdiorite (0.3 g/g) in these Cu rocks was the best catalyst. The formation of formic acid on the Cu-silicate rock increased with time up to 10 h after which the formation decreased, and then became constant. The formic acid formation decreased with temperature for 10 h sunlight illumination. For the photochemical reduction of CO2, a relatively low temperature was suitable. With photochemical reduction, the maximum yield of formic acid was 54 nmol/g under optimum experimental conditions. The carbon dioxide reduction system developed might well become of practical interest for the photochemical production of raw materials for the photochemical industry.Key words: photocatalytic reduction of carbon dioxide, formic acid, copper-loaded silicate rocks, temperature effect, illumination time.

2013 ◽  
Vol 64 (5) ◽  
pp. 578-585 ◽  
Author(s):  
Qian Zhang ◽  
Cheng-Fang Lin ◽  
You Hai Jing ◽  
Chang-Tang Chang

Nanomaterials ◽  
2020 ◽  
Vol 10 (12) ◽  
pp. 2422
Author(s):  
Hanqing Pan ◽  
Michael D. Heagy

Rising levels of atmospheric carbon dioxide due to the burning and depletion of fossil fuels is continuously raising environmental concerns about global warming and the future of our energy supply. Renewable energy, especially better utilization of solar energy, is a promising method for CO2 conversion and chemical storage. Research in the solar fuels area is focused on designing novel catalysts and developing new conversion pathways. In this review, we focus on the photocatalytic reduction of CO2 primarily in its neutral pH species of carbonate to formate. The first two-electron photoproduct of carbon dioxide, a case for formate (or formic acid) is made in this review based on its value as; an important chemical feedstock, a hydrogen storage material, an intermediate to methanol, a high-octane fuel and broad application in fuel cells. This review focuses specifically on the following photocatalysts: semiconductors, phthalocyanines as photosensitizers and membrane devices and metal-organic frameworks.


2013 ◽  
Vol 129 ◽  
pp. 599-605 ◽  
Author(s):  
Guohui Qin ◽  
Yue Zhang ◽  
Xuebin Ke ◽  
Xinli Tong ◽  
Zhe Sun ◽  
...  

2021 ◽  
Author(s):  
Shoubhik Das ◽  
Robin Cauwenbergh

With the growing awareness of green chemistry, carbon capture and utilization (CCU) has got tremendous attention compared to the carbon capture and storage (CCS). Over the past decades, the development...


2018 ◽  
Vol 36 (6) ◽  
pp. 538-544 ◽  
Author(s):  
Pengju Du ◽  
Tongming Su ◽  
Xuan Luo ◽  
Xiantai Zhou ◽  
Zuzeng Qin ◽  
...  

ChemCatChem ◽  
2015 ◽  
Vol 7 (20) ◽  
pp. 3316-3321 ◽  
Author(s):  
Alonso Rosas-Hernández ◽  
Henrik Junge ◽  
Matthias Beller

RSC Advances ◽  
2016 ◽  
Vol 6 (58) ◽  
pp. 52665-52673 ◽  
Author(s):  
Zuzeng Qin ◽  
Hui Tian ◽  
Tongming Su ◽  
Hongbing Ji ◽  
Zhanhu Guo

A soft template influenced hydrothermally synthesized BiYO3 catalysts and enhanced formic acid formation from the photocatalytic reduction of carbon dioxide.


2018 ◽  
Author(s):  
Chandan Dey ◽  
Ronny Neumann

<p>A manganese substituted Anderson type polyoxometalate, [MnMo<sub>6</sub>O<sub>24</sub>]<sup>9-</sup>, tethered with an anthracene photosensitizer was prepared and used as catalyst for CO<sub>2</sub> reduction. The polyoxometalate-photosensitizer hybrid complex, obtained by covalent attachment of the sensitizer to only one face of the planar polyoxometalate, was characterized by NMR, IR and mass spectroscopy. Cyclic voltammetry measurements show a catalytic response for the reduction of carbon dioxide, thereby suggesting catalysis at the manganese site on the open face of the polyoxometalate. Controlled potentiometric electrolysis showed the reduction of CO<sub>2</sub> to CO with a TOF of ~15 sec<sup>-1</sup>. Further photochemical reactions showed that the polyoxometalate-anthracene hybrid complex was active for the reduction of CO<sub>2</sub> to yield formic acid and/or CO in varying amounts dependent on the reducing agent used. Control experiments showed that the attachment of the photosensitizer to [MnMo<sub>6</sub>O<sub>24</sub>]<sup>9-</sup> is necessary for photocatalysis.</p><div><br></div>


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Eder Eujácio da Silva ◽  
Fábio Henrique Rojo Baio ◽  
Daniel Fernando Kolling ◽  
Renato Schneider Júnior ◽  
Alex Rogers Aguiar Zanin ◽  
...  

AbstractSowing density is one of the most influential factors affecting corn yield. Here, we tested the hypothesis that, according to soil attributes, maximum corn productivity can be attained by varying the seed population. Specifically, our objectives were to identify the soil attributes that affect grain yield, in order to generate a model to define the optimum sowing rate as a function of the attributes identified, and determine which vegetative growth indices can be used to predict yield most accurately. The experiment was conducted in Chapadão do Céu-GO in 2018 and 2019 at two different locations. Corn was sown as the second crop after the soybean harvest. The hybrids used were AG 8700 PRO3 and FS 401 PW, which have similar characteristics and an average 135-day cropping cycle. Tested sowing rates were 50, 55, 60, and 65 thousand seeds ha−1. Soil attributes evaluated included pH, calcium, magnesium, phosphorus, potassium, organic matter, clay content, cation exchange capacity, and base saturation. Additionally, we measured the correlation between the different vegetative growth indices and yield. Linear correlations were obtained through Pearson’s correlation network, followed by path analysis for the selection of cause and effect variables, which formed the decision trees to estimate yield and seeding density. Magnesium and apparent electrical conductivity (ECa) were the most important soil attributes for determining sowing density. Thus, the plant population should be 56,000 plants ha−1 to attain maximum yield at ECa values > 7.44 mS m−1. In addition, the plant population should be 64,800 plants ha−1 at values < 7.44 mS m−1 when magnesium levels are greater than 0.13 g kg−1, and 57,210 plants ha−1 when magnesium content is lower. Trial validation showed that the decision tree effectively predicted optimum plant population under the local experimental conditions, where yield did not significantly differ among populations.


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