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The fate of antibiotics during phosphate recovery processes - A critical review

Science of the Total Environment 2025年 968卷 178829页

作者： Bolujoko, Nathaniel Duling, Addison Shashvatt, Utsav Mangalgiri, Kiranmayi Environmental Science Graduate Program Oklahoma State University 202 Whitehurst StillwaterOK74078 United States Department of Biosystems and Agricultural Engineering Oklahoma State University 215A Agricultural Hall StillwaterOK74078 United States Department of Civil and Environmental Engineering University of California Berkeley 760 Davis Hall BerkeleyCA94720 United States

The principles of circular economy encourage the recovery of phosphorus from nutrient-rich waste streams such as animal manure, domestic wastewater, and urine to supplement existing sources of raw phosphorus. However, these waste streams also contain a wide variety of contaminants of emerging concern including antibiotics, and the recovery of phosphorus from these waste streams results in the co-occurrence of antibiotics with the recovered phosphorus products. This paper provides a comprehensive overview of the fate of environmentally relevant antibiotics in three major existing and upcoming phosphorus recovery processes: precipitation-, membrane-, and adsorption-based treatment. In general, the co-occurrence of antibiotics in recovered phosphorus increases with the presence of dissolved organic matter (DOM) and cations due to π-π interaction and cationic bridge formation, respectively. Additionally, antibiotics display pH-based speciation resulting in electrostatic interactions with recovered phosphorus at pH > 7.0. Furthermore, this critical review establishes a new metric, the relative antibiotic-to‑phosphorus (RAP), defined as the ratio of the concentration of antibiotics to phosphorus in recovered phosphorus to that of the phosphorus-rich waste. Precipitation-based methods, particularly struvite, demonstrated the lowest RAP, while the RAP in carbon-based adsorbents was 1.8 × 108 times higher than in membrane-based processes. In reviewing literature on the fate of antibiotics in phosphorus recovery processes, several research needs are also highlighted: the fate of non-tetracycline antibiotics, simultaneous investigation of phosphorus and antibiotic fate in membrane- and adsorption-based methods, treatment methods to mitigate the co-occurrence of antibiotics in recovered phosphorus product, and the release of antibiotics from recovered phosphate products. © 2024

关键词： Rivers

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A pilot scale bioreactor using EMMC for carbon and nitrogen removal

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Clean Technologies and Environmental Policy 2014年第4期3卷 407-412页

作者： P. Yang M. Shimabukuro S. Kim Graduate Program of Biosystems Engineering Department of Molecular Biosciences and Biosystems Engineering University of Hawaii at Manoa Honolulu HI 96822 USA USA

A pilot scale (100 l reactor) of an entrapped mixed microbial cell (EMMC) process was fabricated and tested for simultaneous removal of carbon and nitrogen. Process performance, operational stability, and maintenance requirements were all determined. Two sources of actual agricultural processing wastewater containing a high concentration of chemical oxygen demand (COD) (about 800–1,000 mg/l) and domestic sewage containing a low concentration of COD (about 150–200 mg/l) were investigated in this study. Various HRT (hydraulic retention time) and aeration schedules were operated. It was found that soluble COD (SCOD) and soluble total nitrogen (STN) could be removed in the range of 40–70% and 20–90%, respectively, for domestic sewage depending on the operational conditions provided. For agricultural processing wastewater, removal efficiencies of SCOD and STN are 89–91% and 60–75%, respectively, depending on the HRTs and aeration schedules applied. Economic evaluation for the application of domestic sewage was conducted. It was found that at an HRT of 6 h with 24 h of aeration it costs U.S.$1.75 for the treatment of 1,000 gal/day (3.8 m3/day). It is apparent that the EMMC process is technically feasible for simultaneous removal of carbon and nitrogen under the operation of an alternated schedule of the aeration in one single bioreactor. Ultimately, it can replace or upgrade the existing conventional wastewater treatment plant by combining the secondary and tertiary wastewater treatment plant in one bioreactor and provides simple maintenance and operation. This will also assist in providing the high quality of treated effluent meeting current and future environmental regulation for reuse.

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Genome-scale metabolic networks in time and space

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Current Opinion in Systems Biology 2018年 8卷 51-58页

作者： Øyås, Ove Stelling, Jörg Department of Biosystems Science and Engineering and SIB Swiss Institute of Bioinformatics ETH Zurich Basel Switzerland Systems Biology PhD Program Life Science Zurich Graduate School Zurich Switzerland

Constraint-based models (CBMs) are key tools for elucidating the behavior of genome-scale metabolic networks, but the assumption of steady state hinders their application to spatiotemporally varying and multicellular systems. Models that integrate CBMs with kinetics to allow dynamic simulation through dynamic flux balance analysis (DFBA) can circumvent this problem as well as the limitations of purely kinetic models. With many technical barriers for DFBA overcome in recent years, applications traditionally focused on metabolic engineering have expanded to address problems such as evolution of microbial communities, functions of biomedically relevant biofilms, and diet effects on Parkinson's disease. By addressing substantial computational challenges, we expect that such hybrid metabolic models will pave the way towards whole-cell modeling. © 2017 Elsevier Ltd

关键词： Constraint-based models Dynamic flux balance analysis Genome-scale models Metabolic networks Multi-scale models

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Factors impacting the variability of effectiveness of agricultural best management practices (BMPs) in Minnesota 10

Factors impacting the variability of effectiveness of agricu...

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10th International Drainage Symposium 2016

作者： Lenhart, Christian Wilson, Bruce Gordon, Brad Department of Bioproducts and Biosystems Engineering 1390 Eckles Ave. St. PaulMN55108 United States Water Resources Science Graduate Program University of Minnesota St. PaulMN55108 United States

ISBN: (纸本)9781510855250

In the development of nutrient reduction strategies for agricultural watersheds in the TMDL process, effectiveness values are frequently used from the Agricultural BMP Handbook for Minnesota. However, BMP effectiveness is highly variable due to differences in hydrologic pathways, biogeochemical cycles, landscape position and management. In the updated manual the objective was to describe the primary causes and relative amounts of variability for managers so more realistic TMDLs goals are set. A database of BMP effectiveness studies was used to compare variability of effectiveness values by BMP type, landscape position and target nutrient, nitrogen, phosphorus and sediment, with;n = 17-100. The coefficient of variation (c.v.) was used to compare between studies. There were no significant differences in variability by landscape position or flow path. However there was a significant difference in the c.v of dissolved vs. particulate pollutant efficiency. Dissolved phosphorus had the highest variability with a c.v. of 1.98 for 31 studies while sediment and particulate phosphorus had c.v. values © 2016 American Society of Agricultural and Biological Engineers. All rights reserved.

关键词： Water quality

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Development of Multi-Scale Indices of Social Distance Based on Local and Global Air Quality

SSRN

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SSRN 2022年

作者： da Silveira, Larissa Haringer Martins Cataldi, Marcio de Farias, William Cossich Marcial Graduate Program in Biosystems Engineering School of Engineering Universidade Federal Fluminense Brazil National Electric System Operator Brazil

The COVID-19 pandemic has caused several impacts on the human activities around the world, with immediate consequences over the Earth systems. Changes can be observed, for example, in the atmospheric chemical composition and, consequently, in the air quality of big cities. In this way, the present study proposes the elaboration of a quantitative index relating the social distancing with the air quality in big cities. To evaluate and validate our proposition, data from two countries (Brazil and Italy) widely impacted by the pandemic are considered. We used NO 2 concentrations measurements, from satellite and air quality surface stations, besides indicators of social distance. The data from surface stations allowed to observe local relationships between NO 2 concentrations and the social distancing rates adopted. On the other hand, satellite data provided a broader spatial approach, which could be locally confirmed by the surface measurements. The Wavelet Transform technique was also applied, allowing the identification of cycles of variability of NO 2 concentrations associated, for example, with higher concentrations during the week and lower concentrations on weekends. Finally, a normalized social distancing index was proposed, based on both surface stations and satellite data. This index was compared with consolidated indices, proving to be an important alternative to existing indices based on mobility estimated from cell phones. The importance of these social distance indicators is made necessary, not only by the COVID-19 pandemic, but also for pandemics that may still occur, given the relationship of this social distancing with virus transmissibility rates, which was also explored in this study. © 2022, The Authors. All rights reserved.

关键词： COVID-19

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Quantifying the microstructure of human sclera using small angle light scattering

Quantifying the microstructure of human sclera using small a...

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10th ASME Summer Bioengineering Conference, SBC2008

作者： Eskinazi, Amanda E. Vande Geest, Jonathan P. Department of Biosystems Engineering University of Arizona Tucson AZ United States Department of Aerospace and Mechanical Engineering University of Arizona Tucson AZ United States Biomedical Engineering Graduate Interdisciplinary Program University of Arizona Tucson AZ United States BIO5 Institute University of Arizona Tucson AZ United States

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The potential of municipal yard waste to be denitrification bioreactor fill

The potential of municipal yard waste to be denitrification ...

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American Society of Agricultural and Biological Engineers Annual International Meeting 2011

作者： Christianson, Laura Hoover, Natasha Bhandari, Alok Helmers, Matthew Agricultural and Biosystems Engineering Iowa State University 3145 NSRIC Ames IA 50010 United States Graduate Program in Sustainable Agriculture Iowa State University 3145 NSRIC Ames IA 50010 United States Civil Engineering Kansas State University 2118 Fiedler Hall Manhattan KS 66506 United States Agricultural and Biosystems Engineering Iowa State University 219B Davidson Hall Ames IA 50010 United States

ISBN: (纸本)9781618391568

The use of denitrification bioreactors to mitigate nitrate in agricultural drainage has recently gained much interest in the US Midwest and in other agricultural regions around the world. However, because this is a new technology, there are still many questions regarding bioreactor design and construction including uncertainty about denitrification carbon source material. The physical, chemical and biological properties of the utilized carbon media effect overall bioreactor performance through factors such as hydraulic conductivity, porosity, carbon: nitrogen ratio, and microbially available carbon. In selecting a carbon source material, there is an important balance between the optimal media properties, practicality, and material cost. The use of free material may help minimize material cost, but may not provide other sufficient media properties. To investigate this, pilot scale bioreactors were used to compare nitrate removal efficiency and media longevity of hardwood chips (summer #1) with free, municipal chipped storm debris (summer #2). Bromide tracer tests allowed comparisons between reactor hydraulics and buried bags of carbon media allowed for pre- and post-operation observations of the media. Initial results were confounded by flooding and operational problems in summer #2, but generally indicated the storm debris provided nitrate removal but also degraded over the period.

关键词： Nitrates

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Single-cell transcriptomics uncovers EGFR signaling-mediated gastric progenitor cell differentiation in stomach homeostasis (vol 14, 3750, 2023)

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NATURE COMMUNICATIONS 2023年第1期14卷 1-16页

作者： Takada, Hitomi Sasagawa, Yohei Yoshimura, Mika Tanaka, Kaori Iwayama, Yoshimi Hayashi, Tetsutaro Isomura-Matoba, Ayako Nikaido, Itoshi Kurisaki, Akira Laboratory of Stem Cell Technologies Graduate School of Science and Technology Nara Institute of Science and Technology Takayama-cho Ikoma Nara Japan Laboratory for Bioinformatics Research RIKEN Center for Biosystems Dynamics Research Wako Saitama Japan Department of Functional Genome Informatics Biological Data Science Medical Research Institute Tokyo Medical and Dental University Bunkyo Tokyo Japan Master’s/Doctoral Program in Life Science Innovation (Bioinformatics) Degree Programs in Systems and Information Engineering Graduate School of Science and Technology University of Tsukuba Tsukuba Ibaraki Japan

Defects in gastric progenitor cell differentiation are associated with various gastric disorders, including atrophic gastritis, intestinal metaplasia, and gastric cancer. However, the mechanisms underlying the multilineage differentiation of gastric progenitor cells during healthy homeostasis remain poorly understood. Here, using a single-cell RNA sequencing method, Quartz-Seq2, we analyzed the gene expression dynamics of progenitor cell differentiation toward pit cell, neck cell, and parietal cell lineages in healthy adult mouse corpus tissues. Enrichment analysis of pseudotime-dependent genes and a gastric organoid assay revealed that EGFR-ERK signaling promotes pit cell differentiation, whereas NF-κB signaling maintains gastric progenitor cells in an undifferentiated state. In addition, pharmacological inhibition of EGFR in vivo resulted in a decreased number of pit cells. Although activation of EGFR signaling in gastric progenitor cells has been suggested as one of the major inducers of gastric cancers, our findings unexpectedly identified that EGFR signaling exerts a differentiation-promoting function, not a mitogenic function, in normal gastric homeostasis.

关键词： Adult stem cells Stem-cell differentiation Stem-cell niche

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Early surveillance of rice bakanae disease using deep learning and hyperspectral imaging

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aBIOTECH 2024年第3期5卷 281-297页

作者： Sishi Chen Xuqi Lu Hongda Fang Anand Babu Perumal Ruyue Li Lei Feng Mengcen Wang Yufei Liu College of Biosystems Engineering and Food Science Zhejiang UniversityHangzhou 310058China State Key Laboratory of Rice Biology and Breeding Zhejiang UniversityHangzhou 310058China Computational Modeling and Nanoscale Processing Unit National Institute of Food TechnologyEntrepreneurship and Management-ThanjavurMinistry of Food Processing IndustriesThanjavur 613005India College of Environmental and Resource Sciences Zhejiang UniversityHangzhou 310058China Global Education Program for AgriScience Frontiers Graduate School of AgricultureHokkaido UniversitySapporo 060-8589Japan

Bakanae disease,caused by Fusarium fujikuroi,poses a significant threat to rice production and has been observed in most rice-growing *** disease symptoms caused by different pathogens may vary,including elongated and weak stems,slender and yellow leaves,and dwarfism,as *** disease is likely to cause necrosis of diseased seedlings,and it may cause a large area of infection in the field through the transmission of ***,early disease surveillance plays a crucial role in securing rice *** monitoring methods are both time-consuming and labor-intensive and cannot be broadly *** this study,a combination of hyperspectral imaging technology and deep learning algorithms were used to achieve in situ detection of rice seedlings infected with bakanae *** data were obtained on the 9th,15th,and 21st day after rice infection to explore the physiological and biochemical performance,which helps to deepen the research on the disease *** data were obtained over these same periods of infection,and a deep learning model,named Rice Bakanae Disease-Visual Geometry Group(RBD-VGG),was established by leveraging hyperspectral imaging technology and deep learning *** on this model,an average accuracy of 92.2%was achieved on the 21st day of *** also achieved an accuracy of 79.4%as early as the 9th *** characteristic wavelengths were extracted to increase the feasibility of using portable spectral equipment for field ***,the model offers an efficient and non-destructive surveillance methodology for monitoring bakanae disease,thereby providing an efficient avenue for disease prevention and control.

关键词： Bakanae disease Hyperspectral imaging Deep learning Early surveillance Disease monitoring

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Fluorescence resonance energy transfer detection of mouse immunoglobulin G and Octamer-4 on protein nanoarray

Fluorescence resonance energy transfer detection of mouse im...

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IEEE/ICME International Conference on Complex Medical engineering, CME

作者： Phat. L. Tran Yee Tchao Jeong-Yeol Yoon Biomedical Engineering Graduate Interdisciplinary Program University of Arizona Tucson Tucson AZ USA Department of Veterinary Science and Microbiology University of Arizona Tucson Tucson AZ USA Department of Agricultural and Biosystems Engineering and Biomedical Engineering Graduate Interdisciplinary Program University of Arizona Tucson Tucson AZ USA

An alternative approach for fabricating a protein array at nanoscale (<100 nm) is suggested with a capability of characterization and/or localization of multiple components on a nanoarray. Basically, fluorescent micro- and nanospheres each conjugated with different proteins are size-dependently self-assembled (SDSA) onto these nanometer wells that were created on the polymethyl methacrylate (PMMA) substrate by electron beam lithography (EBL). Particles of different diameters are added serially, and electrostatically attached to the corresponding wells through electrostatic attraction between the carboxylic groups of the spheres and p-doped silicon substrate underneath the PMMA layer. Target detection utilizes fluorescence resonance energy transfer (FRET) from fluorescent beads to target (mouse immunoglobulin G = mIgG or Octamer-4 = Oct4) and its antibody bound on the beads. The 180 nm blue beads are conjugated with mIgG to capture anti-mIgG-FITC. The 50 nm green and 100 nm yellow-green beads are conjugated with anti-Oct4 to capture Oct4 peptides; where the secondary anti-Oct4 tagged with phycoerythrin via F(ab)2 fragment is then added to function as an indicator of Oct4 detection. These protein-conjugated particles are added serially from the largest to the smallest and the particles are successfully self-assembled to the respective nanometer wells to achieve size-dependent self-assembly. FRET signals are detected through fluorescence and confocal microscopes, and further confirmed by Fluorolog3 spectrofluorometer. Therefore, SDSA is a valuable approach for the fabrication of multiple components array; and FRET is a useful biorecognition technique for the detection of mIgG, Oct4 or other targets of interest.

关键词： Fluorescence Resonance Energy exchange Mice Proteins Self-assembly Immune system Electron beams Lithography Electrostatics

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