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Lactate-mediated medium-chain fatty acid production from expired dairy and beverage waste

environmental science and Ecotechnology 2024年第5期21卷 278-286页

作者： Bin Bian Wenxiang Zhang Najiaowa Yu Wei Yang Jiajie Xu Bruce E.Logan Pascal E.Saikaly Water Desalination and Reuse Center(WDRC) King Abdullah University of Science and Technology(KAUST)Thuwal 23955-6900Kingdom of Saudi Arabia Environmental Science and Engineering Program Biological and Environmental Science and Engineering(BESE)DivisionKing Abdullah University of Science and Technology(KAUST)Thuwal 23955-6900Kingdom of Saudi Arabia Department of Civil and Environmental Engineering The Pennsylvania State UniversityUniversity ParkPA16802USA Research Centre of Ecology&Environment for Coastal Area and Deep Sea Southern Marine Science and Engineering Guangdong Laboratory(Guangzhou)Guangzhou511458China School of Marine Science Ningbo UniversityNingbo315211China

Fruits,vegetables,and dairy products are typically the primary sources of household food ***,anaerobic digestion is the most used bioprocess for the treatment of food waste with concomitant generation of ***,to achieve a circular carbon economy,the organics in food waste should be converted to new chemicals with higher value than *** we demonstrate the feasibility of medium-chain carboxylic acid(MCCA)production from expired dairy and beverage waste via a chain elongation platform mediated by *** a two-stage fermentation process,the first stage with optimized operational conditions,including varying temperatures and organic loading rates,transformed expired dairy and beverage waste into lactate at a concentration higher than 900 mM C at 43℃.This lactate was then used to produce>500 mM C caproate and>300 mM C butyrate via microbial chain ***,lactate-producing microbes such as Lactobacillus and Lacticaseibacillus were regulated by temperature and could be highly enriched under mesophilic conditions in the firststage *** the second-stage chain elongation reactor,the dominating microbes were primarily from the genera Megasphaera and Caproiciproducens,shaped by varying feed and inoculum *** network analysis revealed positive correlations among species from the genera Caproiciproducens,Ruminococcus,and CAG-352,as well as Megasphaera,Bacteroides,and Solobacterium,indicating strong microbial interactions that enhance caproate *** findings suggest that producing MCCAs from expired dairy and beverage waste via lactate-mediated chain elongation is a viable method for sustainable waste management and could serve as a chemical production platform in the context of building a circular bioeconomy.

关键词： Microbial chain elongation Medium chain carboxylic acids Food waste Fermentation

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Transforming Industrial Waste into Amine-Functionalized Mesoporous Materials Using Alkali Fusion-Hydrothermal Method for environmental Humidity Control Applications

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Waste and Biomass Valorization 2025年第1期16卷 271-280页

作者： Lin, Ya-Wen Lin, Kae-Long Kuo, Bo-Yi Chen, Yu-Hao Bachelor Program for Fire and Safety Science Da-Yeh University 168 University Rd Dacun Changhua515006 Taiwan Department of Environmental Engineering National Ilan University Yilan City260 Taiwan

This research utilizes the rich SiO2 and Al2O3 sources in light-emitting diode waste quartz sand (LEDWQS) and granite sludge (GS) through alkali fusion and hydrothermal method as the precursor of synthetic mesoporous humidity control material (MHCM). The effect of adding amine functional groups on the amine functionalized mesoporous humidity control material (AF/MHCM) was also discussed. The results show that the crystalline phase and surface composition of MHCM are consistent with typical MCM-41 characteristics. The specific surface area of AF/MHCM was 29.91m2/g. The results confirm that the amine functional groups have been effectively modified on the pore surface, and the nitrogen adsorption-desorption isotherm of AF/MHCM has changed from type IV to type II. In addition, this study also proves that AF/MHCM has excellent humidity control performance, with a moisture adsorption–desorption performance of up to 63.36 g/m2, which is in line with the Japanese Industrial Standards for humidity control building materials (moisture adsorption–desorption performance > 29 g/m2). AF/MHCM synthesized by reused waste derived from the manufacturing process of electronic and electrical equipment as raw materials has excellent humidity control performance, and the result can be used as a smart indoor humidity control material in various construction applications. © The Author(s), under exclusive licence to Springer Nature B.V. 2024.

关键词： Humidity control

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Study of Hybrid Steel Fibers Effects on the Workability and Compressive Properties of Non-proprietary UHPC 3rd

Study of Hybrid Steel Fibers Effects on the Workability and ...

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3rd International Conference on Sustainable Civil engineering and Architecture, ICSCEA 2023

作者： Zhang, Ye Ogawa, Yuko Goegre, Riya Catherine Kawai, Kenji Civil and Environmental Engineering Program Graduate School of Advanced Science and Engineering Hiroshima University 1-4-1 Kagamiyama Higashi-Hiroshima Japan

ISBN: (纸本)9789819974337

Non-proprietary ultra-high-performance concrete (UHPC) is renowned for excellent mechanical properties, especially high compressive strength which is generally above 150 MPa. Despite the high compressive strength, the failure mode of non-proprietary UHPC under axial loading is sudden, brittle, and explosive. The undesired compression failure mode is not ideal for structure design and undermines the engineering value of non-proprietary UHPC. This research targets to convert the compression failure mode of non-proprietary UHPC from brittle to ductile with hybrid steel fiber reinforcement and select the most effective reinforcing proportion. In this research, a ground granulated blast-furnace slag (GGBS) based non-proprietary UHPC mix is reinforced with five combinations of two steel fiber types with straight ends. The lengths of the two steel fibers are 6.5 mm and 13 mm. The total volume fraction of steel fibers is 2%. The 28-day compressive strengths and the failure modes of the reinforced samples are compared to select a hybrid steel fiber combination that transforms the failure mode of non-proprietary UHPC and strengthens the compression performance most effectively. The experiment results demonstrate that: (1) with steel fibers presented, non-proprietary UHPC is capable of continuously taking compressive load after matrix cracks;(2) instead of explosive brittle failure mode, fiber reinforced non-proprietary UHPC fails in a ductile behavior under axial compression load and the samples stay in integrity;(3) hybrid steel fiber reinforcement is more effective than single type steel fiber reinforcement in improving the compression performance of non-proprietary UHPC. © 2024, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Compressive strength

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Frost Damage Resistance of Portland Blast-Furnace Slag Cement Concrete Cured Internally by Using Roof-Tile Waste Aggregate 2nd

Frost Damage Resistance of Portland Blast-Furnace Slag Cemen...

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2nd International Conference on Sustainable Civil engineering and Architecture, ICSCEA 2021

作者： Kirimoto, Taishi Ogawa, Yuko Kawai, Kenji Civil and Environmental Engineering Program Graduate School of Advanced Science and Engineering Hiroshima University Higashihiroshima City Japan

ISBN: (纸本)9789811933028

The purpose of this study was to clarify the relationship between the internal curing effect of roof-tile waste aggregate and frost damage resistance, and to investigate the effects of the replacement ratio of roof-tile waste aggregate as well as curing conditions on the frost damage resistance of concrete. Five types of concrete using Portland blast-furnace slag cement were prepared with a water-to-cement ratio of 0.50 and different replacement ratios of roof-tile waste coarse aggregate (20% and 50% by volume) and roof-tile waste fine aggregate (23% and 58% by volume). Concrete specimens were cured at 20 °C under sealed condition for 3, 7, or 28 days, and they were subsequently exposed to air at 20 °C and 60%R.H. until the age of 28 days. Then, the tests for resistance of concrete to freezing and thawing were carried out for 300 cycles in water, and the relative dynamic modulus of elasticity as well as the mass loss was assessed at the designated periods. As a result, it was found that sufficient frost damage resistance could be secured when the replacement ratio of roof-tile waste aggregate was approximately 20% by volume, and the improvement in frost damage resistance was observed especially when fine aggregate was replaced. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Slags

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Rechargeable Multivalent-Ion Batteries

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Energy Material Advances 2024年第1期5卷 283-284页

作者： Juchen Guo Jennifer LSchaefer Yuyan Shao Department of Chemical and Environmental Engineering Materials Science and Engineering ProgramUniversity of CaliforniaRiversideRiversideCA 92521USA Department of Chemical and Biomolecular Engineering University of Notre DameNotre DameIN 46556USA Pacific Northwest National Laboratory RichlandWA 99352USA

Rechargeable batteries based on multivalent metal anodes including earth-abundant magnesium(Mg),calcium(Ca),zinc(Zn),and aluminum(Al)are potential new“beyond lithium(Li)”electrochemical energy storage technologies for large-scale energy storage *** multivalent elements are more earth abundant,and therefore promising candidates for reducing global dependence on Li for our growing energy storage *** the seminal work by Aurbach and coworkers[1]demonstrating the first prototype rechargeable Mg batteries,tremendous efforts have been made to the research and development of rechargeable multivalent-ion batteries.

关键词： energy storage calcium batteries rechargeable batteries multivalent elements multivalent metal anodes energy storage technologies magnesium batteries

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Beyond p-y method:A review of artificial intelligence approaches for predicting lateral capacity of drilled shafts in clayey soils

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Journal of Rock Mechanics and Geotechnical engineering 2024年第9期16卷 3812-3840页

作者： M.E.Al-Atroush A.E.Aboelela Ezz El-Din Hemdan Civil and Environmental Engineering Program Engineering Management DepartmentCollege of EngineeringPrince Sultan UniversityRiyadhSaudi Arabia Department of Structural Engineering Faculty of EngineeringAin Shams UniversityCairoEgypt Structure and Materials Research Lab Prince Sultan UniversityRiyadhSaudi Arabia Computer Science and Engineering Department Faculty of Electronic EngineeringMenoufia UniversityMenoufiaEgypt

In 2023,pivotal advancements in artificial intelligence(AI)have significantly *** that in mind,traditional methodologies,notably the p-y approach,have struggled to accurately model the complex,nonlinear soil-structure interactions of laterally loaded large-diameter drilled *** study undertakes a rigorous evaluation of machine learning(ML)and deep learning(DL)techniques,offering a comprehensive review of their application in addressing this geotechnical challenge.A thorough review and comparative analysis have been carried out to investigate various AI models such as artificial neural networks(ANNs),relevance vector machines(RVMs),and least squares support vector machines(LSSVMs).It was found that despite ML approaches outperforming classic methods in predicting the lateral behavior of piles,their‘black box'nature and reliance only on a data-driven approach made their results showcase statistical robustness rather than clear geotechnical insights,a fact underscored by the mathematical equations derived from these ***,the research identified a gap in the availability of drilled shaft datasets,limiting the extendibility of current findings to large-diameter *** extensive dataset,compiled from a series of lateral loading tests on free-head drilled shaft with varying properties and geometries,was introduced to bridge this *** paper concluded with a direction for future research,proposes the integration of physics-informed neural networks(PINNs),combining data-driven models with fundamental geotechnical principles to improve both the interpretability and predictive accuracy of AI applications in geotechnical engineering,marking a novel contribution to the field.

关键词： Laterally loaded drilled shaft load transfer and failure mechanisms Physics-informed neural networks(PINNs) P-y curves Artificial intelligence(AI) Dataset

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Application of machine learning technique for predicting and evaluating chloride ingress in concrete

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Frontiers of Structural and Civil engineering 2022年第9期16卷 1153-1169页

作者： Van Quan TRAN Van Loi GIAP Dinh Phien VU Riya Catherine GEORGE Lanh Si HO Department of Civil Engineering University of Transport TechnologyHanoi 100000Vietnam Civil and Environmental Engineering Program Graduate School of Advanced Science and EngineeringHiroshima UniversityHiroshima 739-8527Japan

The degradation of concrete structure in the marine environment is often related to chloride-induced corrosion of reinforcement ***,the chloride concentration in concrete is a vital parameter for estimating the corrosion level of reinforcement *** research aims at predicting the chloride content in concrete using three hybrid models of gradient boosting(GB),artificial neural network(ANN),and random forest(RF)in combination with particle swarm optimization(PSO).The input variables for modeling include exposure condition,water/binder ratio(W/B),cement content,silica fume,time exposure,and depth of *** results indicate that three models performed well with high accuracy of prediction(R2⩾0.90).Among three hybrid models,the model using GB_PSO achieved the highest prediction accuracy(R2=0.9551,RMSE=0.0327,and MAE=0.0181).Based on the results of sensitivity analysis using SHapley Additive exPlanation(SHAP)and partial dependence plots 1D(PDP-1D),it was found that the exposure condition and depth of measurement were the two most vital variables affecting the prediction of chloride *** the number of different exposure conditions is larger than two,the exposure significantly impacted the chloride content of concrete because the chloride ion ingress is affected by both chemical and physical *** study provides an insight into the evaluation and prediction of the chloride content of concrete in the marine environment.

关键词： gradient boosting random forest chloride content concrete sensitivity analysis

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A hybrid machine learning model to estimate self-compacting concrete compressive strength

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Frontiers of Structural and Civil engineering 2022年第8期16卷 990-1002页

作者： Hai-Bang LY Thuy-Anh NGUYEN Binh Thai PHAM May Huu NGUYEN Civil Engineering Department University of Transport TechnologyHanoi 100000Vietnam Civil and Environmental Engineering Program Graduate School of Advanced Science and EngineeringHiroshima UniversityHiroshima 739-8527Japan

This study examined the feasibility of using the grey wolf optimizer(GWO)and artificial neural network(ANN)to predict the compressive strength(CS)of self-compacting concrete(SCC).The ANN-GWO model was created using 115 samples from different sources,taking into account nine key SCC *** validation of the proposed model was evaluated via six indices,including correlation coefficient(R),mean squared error,mean absolute error(MAE),IA,Slope,and mean absolute percentage *** addition,the importance of the parameters affecting the CS of SCC was investigated utilizing partial dependence *** results proved that the proposed ANN-GWO algorithm is a reliable predictor for SCC’s *** that,an examination of the parameters impacting the CS of SCC was provided.

关键词： artificial neural network grey wolf optimize algorithm compressive strength self-compacting concrete

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Low-Temperature Methanolysis of Polycarbonate over Solid Base Sodium Aluminate

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Langmuir 2024年第10期40卷 5338-5347页

作者： Krisbiantoro, Philip Anggo Sato, Miyu Lin, Tzu-Ming Chang, Yu-Chia Peng, Tzu-Yun Wu, Yun-Chih Liao, Weisheng Kamiya, Yuichi Otomo, Ryoichi Wu, Kevin C.-W. Molecular Science and Technology Program Taiwan International Graduate Program Academia Sinica Taipei11529 Taiwan International Graduate Program of Molecular Science and Technology National Taiwan University Taipei10617 Taiwan Department of Chemical Engineering College of Engineering National Taiwan University Taipei10617 Taiwan Graduate School of Environmental Science Hokkaido University Nishi 5 Kita 10 Sapporo060-0810 Japan Faculty of Environmental Earth Science Hokkaido University Nishi 5 Kita 10 Sapporo060-0810 Japan Center of Atomic Initiative for New Materials National Taiwan University Taipei10617 Taiwan Department of Chemical Engineering and Materials Science Yuan Ze University Taoyuan320 Taiwan

Herein, a low-cost and readily available sodium aluminate (NaAlO2) was used as a solid base catalyst for the depolymerization of polycarbonate (PC) via methanolysis in the presence of tetrahydrofuran (THF) as a solvent. NaAlO2 was highly active for the reaction, and the performance was comparable to that of soluble strong base SrO and much higher than those of MgO and CaO. By the reaction over the catalyst, a highly pure and crystalline bisphenol A (BPA) was obtained. Among tested organic solvents, THF was the best in aiding PC methanolysis over NaAlO2 due to the polarity similar to PC according to Hansen solubility parameters (HSPs). At 60 °C, 98.1% PC conversion and 96.8% BPA yield were achieved within just 2 h. NaAlO2 was reusable without any severe catalyst deactivation in at least four runs. The mechanistic study revealed that the reaction proceeded via the methoxide pathway, with THF aiding the dissolution of PC. The reaction over NaAlO2 possessed a low apparent activation energy (Ea) of 75.1 kJ mol-1, which is the lowest ever reported so far for the reaction over solid catalysts. © 2024 The Authors. Published by American Chemical Society.

关键词： Sodium Aluminate

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environmental sustainability criteria in the multi-oriented shipbuilding industry in Indonesia

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Australian Journal of Maritime and Ocean Affairs 2024年第4期16卷 410-430页

作者： Azhar, Ali Harahab, Nuddin Putra, Fadilla Kurniawan, Andi Department of Naval Architecture and Ship Building Faculty of Engineering and Marine Science Hang Tuah University Surabaya Indonesia Postgraduate Environmental Science Doctorate Program Brawijaya University Malang Indonesia

Preliminary studies have highlighted the potential of Indonesia's geographical, suprastructural, and infrastructural conditions to develop a strong shipbuilding industry, which is crucial for the success of the world maritime axis program and sea toll. However, despite high expectations, the industry faces challenges that threaten business sustainability, leading to bankruptcies. To assess business sustainability, it is essential to establish criteria and sub-criteria, which previous studies have overlooked, focusing only on technical and economic factors. Therefore, this research generally aims to develop and analyze environmentally friendly sustainable criteria in the multi-oriented shipyard industry so that it develops in accordance with the vision, mission, goals and strategies. The criteria development process involves identifying and reviewing relevant articles, classifying and refining the criteria, conducting expert validity testing, Pearson Product Moment validity testing, and reliability testing using the Alpha (Cronbach) method. The expert validity testing indicates that ‘people' received the highest average score of 4.67 among the criteria, and ‘infrastructure' scored the highest in the sub-criteria, with a score of 4.75. The validity testing with the Pearson Product Moment method demonstrates that the criteria and sub-criteria are valid and the reliability of 32 sub-criteria indicating their influence on promoting multi-oriented and environmentally sustainable shipbuilding industries. © 2023 Informa UK Limited, trading as Taylor & Francis Group.

关键词： Indonesia Shipyard Industry SPSS software sustainability

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