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Alexandria Engineering Journal · 2024 · IF 6.2

A novel approach for improving carbon fixation of Chlorella sp. by elements in converter steel slag using machine learning

Tian-Ji Liu,Qing Yu,Yi-Tong Wang,Jun-Guo Li,Xiao-Man Wang,Le-Le Kang,Rui Ji,Fu-Ping Wang,Ya-Nan Zeng,Shuang Cai

This study investigates the biomass and carbon fixation rate of Chlorella sp. by the main valuable elements in converter steel slag in F/2 seawater medium. The results indicate that Ca, Mg, P, Si, Fe, and Mn can increase the biomass and carbon fixation rate of Chlorella sp. , while Cu, Zn, Cr, and Al can decrease the biomass and carbon fixation rate of Chlorella sp. . Three machine learning methods known as Back Propagation neural network (BPNN), decision tree (DT), and random forest (RF) were applied to construct the prediction model for the carbon fixation rate of Chlorella sp. based on real-life experimental data obtained from single factor experiments. The overall results exhibited that the BPNN model is better than the DT model and RF model to predict the carbon fixation rate of Chlorella sp. . Finally, the maximum carbon fixation rate for Chlorella sp. predicted by BPNN model is 50.86 mg/(L·d), which was 2.46 times that of the control group, under the optimum conditions of Ca 5.77 g/L, Mg 4.74 g/L, P 1.27 g/L, Si 6.31×10 −1 g/L, Fe 6.50×10 −4 g/L, Mn 5.00×10 −5 g/L, Cu 2.51×10 −6 g/L, Zn 4.98×10 −6 g/L, Cr 0 g/L, and Al 0 g/L in F/2 seawater medium.

CAS / MDL: 7791-18-6 144-55-8
研究领域: 环境科学 · 生物技术 · 机器学习
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Journal of Environmental Chemical Engineering · 2023 · IF 7.7

Evaluating the degradation of Rhodamine B using a sequential batch three-dimensional electrode reactor

Xu Ren,Peixin Tang,Bo Hou,Zhuyi Yu,Jin Huang,Qingyuan Wang,Kai Song

This study investigated the efficiency of a sequential batch three-dimensional electrode reactor (3DER) using stainless steel electrodes and Mn-loaded steel slag as the particle electrodes (PE) to degrade refractory organics. The PE, a micron-grade material consisting primarily of SiO 2 , Fe 2 O 3 , and MnO 2 , exhibits excellent electric conductivity and catalysis ability. Then, a single-factor experiment determined the optimal conditions for removing 20 mg·L −1 of RhB in the 3DER. It involved introducing 5 mM H 2 O 2 and 1.0 g·L −1 PE to 200 mL of simulated wastewater under acidic-to-neutral conditions, under a current density of 57.14 mA·cm −2 and 15 mm distance between 2D electrodes. Approximately 99.52% RhB removal after 15 min of reaction was achieved. Although the inorganic ions in actual water negatively affect the 3DER performance, the system still showed excellent applicability in treating wastewater. In addition, the RhB degradation pathway was explored by determining the reactive oxidizing species (ROS) and intermediate products. The results illustrated that HO• (the main ROS that degraded organics) and SO 4 •− existed in the 3DER. Through de-ethylation, ring-opening, and C-C or C C bone rupturing, RhB degraded to chain organics with simple molecular structures before finally mineralizing to CO 2 , H 2 O, NO 3 - , and NH 4 + . In summary, this research informs on the potential of 3DER for removing refractory organics from water.

研究领域: 环境工程 · 化学工程 · 水处理
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Materials Today Communications · 2023 · IF 3.8

Effect of acidic amino acids on wet pre-carbonation of β-C2S in steel slag

Yu Xue,Taiyue Chen,Xin Zhao,Jiaxiang Liu

Wet pre-carbonation of steel slag is an important solution to the steel slag soundness problem. This method, however, can consume a significant amount of silicate phase in steel slag. To address this issue, it is proposed that the consumption of calcium silicate can be reduced while the hydration performance of steel slag can be improved by adding acidic amino acids into the wet carbonation of steel slag. β-C 2 S is the main cementitious component in steel slag. Synthetized β-C 2 S was used to simulate the reaction mechanism of steel slag during carbonation and to study the role of acidic amino acids in carbonation. The carbonation products were characterized by XRD , FT-IR, TG-DTG, and SEM. The results demonstrated that without the addition of acidic amino acids, the carbonation degree of β-C 2 S reaching the maximum at 1 h under the experimental conditions. Calcite and amorphous silica was formed as a result of the carbonation of β-C 2 S. The final carbonation degree was lower after adding higher concentrations (0.1 mol/L) of acidic amino acids than before. Higher concentrations of acidic amino acids increased the content of metastable CaCO 3 , primarily vaterite. Acidic amino acids were added in the pre-carbonation of steel slag, then the steel slag was mixed with cement to prepare cementitious materials . The cementitious materials’ 28-day compressive strength was higher than without amino acids, and the maximum of strength increased by 9.45 % compared to that without amino acids. Whether amino acids were added or not, the boiling expansion value decreased to 0 after 1 h of carbonation, indicating that the carbonation reaction improved the soundness of cementitious materials.

研究领域: 材料科学 · 环境工程 · 化学工程
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Developments in the Built Environment · 2025 · IF 8.2

Electrical and mechanical characteristics of CaO-activated cementless ultra-high performance concrete (UHPC) incorporating steel slag aggregates

Min-Chang Kang,Munhwa Kang,Goeun Jun,Yanchen Oinam,Hong Min Seung,Sukhoon Pyo

This study presents a sustainable and intelligent alternative to conventional cement-based ultra-high performance concrete (UHPC) by developing a CaO-activated GGBFS cementless UHPC incorporating rapid-cooled electric arc furnace oxidizing slag (REOS) as a replacement for natural aggregates. As an industrial byproduct, REOS enhances mechanical performance while promoting electrical conductivity, forming efficient conductive networks within the matrix. These pathways enable self-sensing capabilities, allowing the material to detect stress and strain without external sensors. The experimental results showed that REOS improved fluidity (up to 235 mm) and maintained high compressive strength (exceeding 200 MPa). Additionally, it was found that REOS enhanced tensile properties, achieving tensile strength exceeding 21 MPa and maximum strain capacity of 0.72 %, particularly when combined with 0.3 % carbon fiber. The incorporation of carbon fiber significantly reduced electrical resistivity compared to the composite without carbon fiber. Furthermore, a life cycle assessment (LCA) demonstrated the environmental benefits of REOS, showing approximately 53 % lower carbon dioxide (CO 2 ) emissions per unit compressive strength compared to traditional UHPC. This research highlights the multifunctionality of REOS in improving both performance and sustainability, offering valuable insights into the development of next-generation UHPC that integrates advanced sensing capabilities and aligns with circular economy principles.

CAS / MDL: 544-17-2
研究领域: 土木工程 · 材料科学 · 可持续建筑材料 · 智能材料 · 结构工程
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