Modeling wastewater sludge hydrolysis aided by high temporal resolution measurements through microbial electrochemistry

通过微生物电化学的高时间分辨率测量辅助废水污泥水解建模

基本信息

  • 批准号:
    1335884
  • 负责人:
  • 金额:
    $ 31.84万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2013
  • 资助国家:
    美国
  • 起止时间:
    2013-09-01 至 2017-08-31
  • 项目状态:
    已结题

项目摘要

CBET - 1335884Cesar I. TorresArizona State University This project will address our need to better understand solids hydrolysis by anaerobic microorganisms, focusing on municipal wastewater sludge. Solids hydrolysis is a crucial, rate-limiting step in wastewater sludge treatment; while it is also important for many bioenergy processes, such the production of biofuels from cellulose. Given the complexity of wastewater sludge, solids hydrolysis encompasses many individual processes that are difficult to resolve. The lack of comprehensive and highly resolved data from biological experiments has led to insufficient validation of existing models for sludge hydrolysis. The use of a microbial electrochemical cell (MXC) anode, powered by anode respiring bacteria (ARB), provides a new alternative to probe microbial hydrolysis kinetics events with a much greater precision and higher temporal resolution than current methods based on methane production. An MXC allows us to measure respiration rates of the ARB at a very high temporal resolution ( 1 minute) by measuring their electric current. Simultaneous monitoring of solids and soluble microbial hydrolysis components along with current production will enable the accurate measurement of transient hydrolysis rates with a deeper elucidation of the underlying mechanisms. High resolution MXC data, along with analytical measurements, will provide a strong basis for describing lag times for hydrolysis of the three main components of solid organic matter: carbohydrates, proteins, and lipids. Through the data collected, this project aims to develop an updated, comprehensive solids hydrolysis model for municipal sludge and other solid wastes. The knowledge obtained through this project is crucial to improve the optimization of current technologies in which solids hydrolysis is a rate-limiting step. The project focuses on wastewater sludge, a complex waste that requires solid hydrolysis for its treatment and disposal. However, the solids-hydrolysis models developed can also be used in other applications, such as bioenergy technologies that utilize a solid substrate (e.g., cellulose). A comprehensive solids hydrolysis model can allow environmental engineers to better predict the performance of anaerobic digesters and will be essential to understand how new technologies will perform in the wastewater treatment field. For example, sludge pre-treatment technologies are emerging in the wastewater field as a means to improve the rate of solids hydrolysis. Thus, this project will use MXCs as rapid high throughput tools to identify the best pre-treatment technology for a given solid waste. While we use MXCs to learn new insights on microbial kinetics, they also become a teaching and learning tool, thus broadening the impacts of our research. Microbial electrochemistry can be epitomized as a tool to study microbial kinetics in complex systems.
这个项目将解决我们需要更好地了解厌氧微生物的固体水解,重点是城市污水污泥。固体水解是污水污泥处理中至关重要的限速步骤;虽然它对许多生物能源过程也很重要,例如从纤维素中生产生物燃料。鉴于废水污泥的复杂性,固体水解包含许多难以解决的单独过程。由于缺乏全面的、高分辨率的生物实验数据,导致对现有污泥水解模型的验证不足。使用由阳极呼吸细菌(ARB)提供动力的微生物电化学电池(MXC)阳极,为探测微生物水解动力学事件提供了一种新的选择,比目前基于甲烷产量的方法具有更高的精度和更高的时间分辨率。MXC允许我们通过测量ARB的电流以非常高的时间分辨率(1分钟)测量呼吸速率。同时监测固体和可溶性微生物水解组分以及当前的生产将能够准确测量瞬态水解速率,并更深入地阐明潜在的机制。高分辨率MXC数据,以及分析测量,将为描述固体有机物的三种主要成分水解的滞后时间提供强有力的基础:碳水化合物,蛋白质和脂质。通过收集到的数据,本项目旨在为城市污泥和其他固体废物建立一个更新的、全面的固体水解模型。通过该项目获得的知识对于改善当前技术的优化至关重要,其中固体水解是一个限速步骤。该项目侧重于废水污泥,这是一种复杂的废物,需要固体水解来处理和处置。然而,开发的固体水解模型也可用于其他应用,例如利用固体底物(例如纤维素)的生物能源技术。一个全面的固体水解模型可以让环境工程师更好地预测厌氧沼气池的性能,并且对于了解新技术在废水处理领域的表现至关重要。例如,污泥预处理技术作为提高固体水解率的一种手段正在废水领域兴起。因此,该项目将使用MXCs作为快速高通量工具,以确定特定固体废物的最佳预处理技术。当我们使用MXCs学习微生物动力学的新见解时,它们也成为一种教学和学习工具,从而扩大了我们研究的影响。微生物电化学可以概括为研究复杂系统中微生物动力学的工具。

项目成果

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Cesar Torres其他文献

Tacit Descriptions: Uncovering Ambiguity in Crowdsourced Descriptions of Motions and Materials
隐性描述:揭示运动和材料的众包描述中的歧义
Cogcues: Shifting Perception through Interactive Projected Cues in Still Life Drawing
Cogcues:通过静物绘画中的交互式投影线索改变感知
Sign Language Recognition System using Neural Network for Digital Hardware Implementation
使用神经网络进行数字硬件实现的手语识别系统
  • DOI:
    10.1088/1742-6596/274/1/012051
  • 发表时间:
    2011
  • 期刊:
  • 影响因子:
    0
  • 作者:
    L. Vargas;L. Barba;Cesar Torres;L. Mattos
  • 通讯作者:
    L. Mattos
Extended delivery of cationic drugs from contact lenses loaded with unsaturated fatty acids.
从装载不饱和脂肪酸的隐形眼镜延长阳离子药物的输送。
Changes in bioactive compounds during fermentation of cocoa (emTheobroma cacao/em) harvested in Amazonas-Peru
在秘鲁亚马孙地区收获的可可(Theobroma cacao)发酵过程中生物活性化合物的变化
  • DOI:
    10.1016/j.crfs.2023.100494
  • 发表时间:
    2023-01-01
  • 期刊:
  • 影响因子:
    7.000
  • 作者:
    Denny Cortez;Luz Quispe-Sanchez;Marilu Mestanza;Manuel Oliva-Cruz;Ives Yoplac;Cesar Torres;Segundo G. Chavez
  • 通讯作者:
    Segundo G. Chavez

Cesar Torres的其他文献

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{{ truncateString('Cesar Torres', 18)}}的其他基金

Travel: NSF Student Travel Grant for 2024 ACM Conference on Creativity & Cognition (C&C) Graduate and Undergraduate Student Symposia
旅行:2024 年 ACM 创意会议 NSF 学生旅行补助金
  • 批准号:
    2413801
  • 财政年份:
    2024
  • 资助金额:
    $ 31.84万
  • 项目类别:
    Standard Grant
REU Site: Hybrid Design and Fabrication
REU 站点:混合设计和制造
  • 批准号:
    2150321
  • 财政年份:
    2022
  • 资助金额:
    $ 31.84万
  • 项目类别:
    Standard Grant
CRII: HCC: Sustaining Cognitive Flow in Physical Making
CRII:HCC:在物理制作中维持认知流
  • 批准号:
    2105054
  • 财政年份:
    2021
  • 资助金额:
    $ 31.84万
  • 项目类别:
    Standard Grant

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