Sustainable Process for the Extraction of Potassium from Feldspar Using Eggshell Powder

Samantray, Jayashree; Anand, Amit; Dash, Barsha; Ghosh, Malay Kumar; Behera, Ajaya Kumar

doi:10.1021/acsomega.0c00586

Cited by 21 publications

(5 citation statements)

References 29 publications

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“…To investigate the selectivity of the triple-emission ratiometric probe, various interfering analogues including Ca 2+ , K + , Zn 2+ , Mg 2+ , Na + , Cl – , NO 3 – , SO 4 2– , urea, glucose, proline, threonine, glycine, methionine, cysteine, and phenylalanine were explored according to the literature. − Interferents were added to the system at 50 times the concentration of OH – . After a certain concentration of OH – was added into the triple-emission ratiometric probe, the Δ F [( F 420 + F 625 )/ F 501 ] value increased significantly (Figure S11A).…”

Section: Resultsmentioning

confidence: 99%

Deep Learning-Assisted Rapid Assessment of Food Freshness Using an Anti-interfering Triple-Emission Ratiometric Fluorescent Sensor

Wu,

Chang,

Chen

et al. 2024

ACS Sustainable Chem. Eng.

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The assessment of food freshness is of paramount significance for the maintenance of human health. However, the presence of an interfering background signal from food samples often leads to inevitable false negative results, which remains a formidable challenge in the rapid assessment of food freshness. To address this issue, a bioinspired anti-interfering triple-emission ratiometric fluorescent sensor was developed based on a deep learning strategy to enhance the signal-to-noise ratio in complex real sample and to allow for the rapid real-time detection with significantly reduced sample size. It was enriched with tubular foot-like functional groups (–NH2 and –COOH), which showed good linearity between pH 2.5–9.5 with successive fluorescence color change from blue-green to light green, light yellow, orange, and red. Three YOLO deep learning algorithm models were used to construct self-designed smart WeChat applets for high-throughput analysis, and two unique 3D printing toolboxes based on a 96-well plate and cuvette for sample analysis were also designed. The rapid high-throughput classification of a wide range of beverages and real-time monitoring of food freshness based on a hydrogel tag were also validated for reference. Prospectively, deep learning-assisted creation of proportional sensors will be critical to increasing the diversity and high throughput of real-time monitoring.

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Section: Resultsmentioning

confidence: 99%

Deep Learning-Assisted Rapid Assessment of Food Freshness Using an Anti-interfering Triple-Emission Ratiometric Fluorescent Sensor

Wu,

Chang,

Chen

et al. 2024

ACS Sustainable Chem. Eng.

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“…It is reported in literature that spent alkali-solution can be partially regenerated with lime, whereas acids can be recovered by the addition of gypsum [90]. For example, potassium can be recovered from precipitated potassium by adding sodium perchlorate and further thermal decomposition to potassium chloride [96]. Reactant and product recovery are important, since the discharge of excess chemicals, such as acids, bases and dissolved minerals in the water phase can be of great environmental concern [92].…”

Section: Ash Removalmentioning

confidence: 99%

Life Cycle Based Climate Emissions of Charcoal Conditioning Routes for the Use in the Ferro-Alloy Production

Surup

Kaffash

et al. 2022

Energies

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Renewable reductants are intended to significantly reduce CO2 emissions from ferro-alloy production, e.g., by up to 80% in 2050 in Norway. However, charcoals provide inferior properties compared to fossil fuel-based reductants, which can hamper large replacement ratios. Therefore, conditioning routes from coal beneficiation was investigated to improve the inferior properties of charcoal, such as mechanical strength, volatile matter, CO2 reactivity and mineral matter content. To evaluate the global warming potential of renewable reductants, the CO2 emissions of upgraded charcoal were estimated by using a simplified life cycle assessment, focusing on the additional emissions by the energy demand, required chemicals and mass loss for each process stage. The combination of ash removal, briquetting and high-temperature treatment can provide a renewable coke with superior properties compared to charcoal, but concomitantly decrease the available biomass potential by up to 40%, increasing the CO2-based global warming potential of industrial produced charcoal to ≈500 kg CO2-eq. t−1 FC. Based on our assumptions, CO2 emissions from fossil fuel-based reductants can be reduced by up to 85%. A key to minimizing energy or material losses is to combine the pyrolysis and post-treatment processes of renewable reductants to upgrade industrial charcoal on-site at the metallurgical plant. Briquetting showed the largest additional global warming potential from the investigated process routes, whereas the high temperature treatment requires a renewable energy source to be sustainable.

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“…The high percentage composition of K2O proved that OPDC is a nutrient-rich source of fertilizer, bio-compost, and animal feedstock. The presence of this element is an essential micro-nutrient for the agricultural sector because it helps to increase productivity, increase plant quality in terms of taste, shape, and color, and also enhances the defense mechanism in plants against adverse impacts of pests and the environment (Nandiyanto et al, 2017;Samantray et al, 2020).…”

Section: Sio2 (In Ash) + 2naohmentioning

confidence: 99%

Green Route Synthesis of Amorphous Silica from Oil Palm Decanter Cake: From Literature Review to Experiments

Rahim

Harun

Saeed

et al. 2022

Indonesian J. Sci. Technol

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Numerous agricultural wastes are well-defined as low-cost sources and rich in silica content. The residue of oil palm wastes combustion seems a promising silica source and can be recovered through a straightforward method. In this study, the combustion followed by an alkaline extraction method was employed to extract high purity of silica. The oven-dried oil palm decanter cake (DOPDC) was heated at combustion temperatures of 600, 700, 800, and 900°C to produce OPDC ashes (OPDCA), followed by an alkaline extraction using 5M of NaOH solution. Thermogravimetric analysis (TGA) was used to observe the thermal behavior of DOPDC where the suitable combustion temperatures to produce silica ranged between 600 and 1000 ℃. X-Ray Fluorescence (XRF) analysis showed that silica contents were 31-36% after combustion, increasing to 76.95% after the chemical treatment. Moreover, the spherical shape of the silica was observed through electron microscope analysis. It was represented by the aggregation of silica after going through chemical treatment. The X-Ray Diffraction analysis also proved that the amorphous silica was produced, characterized by the hump-shaped spectrum. The infrared analysis confirmed that the silica had been successfully extracted from OPDCA by the presence of silica functional groups shown in the spectrum.

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Sustainable Process for the Extraction of Potassium from Feldspar Using Eggshell Powder

Cited by 21 publications

References 29 publications

Deep Learning-Assisted Rapid Assessment of Food Freshness Using an Anti-interfering Triple-Emission Ratiometric Fluorescent Sensor

Deep Learning-Assisted Rapid Assessment of Food Freshness Using an Anti-interfering Triple-Emission Ratiometric Fluorescent Sensor

Life Cycle Based Climate Emissions of Charcoal Conditioning Routes for the Use in the Ferro-Alloy Production

Green Route Synthesis of Amorphous Silica from Oil Palm Decanter Cake: From Literature Review to Experiments

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