FMSG: Eco: Microalgae-based Biomanufacturing of Methionine for Organic Poultry Diets

FMSG：Eco：用于有机家禽日粮的基于微藻的蛋氨酸生物制造

• 批准号: 2328159
• 负责人: Mingyu Qiao
• 金额: $ 50万
• 依托单位: University of Connecticut
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2024
• 资助国家: 美国
• 起止时间: 2024-01-01 至 2025-12-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2328159&HistoricalAwards=false
• 关键词: FMSG; Eco; Microalgae; based; Biomanufacturing

The project explores the feasibility of developing future manufacturing processes for renewable and resilient conversion of microalgae to chemical products that are currently produced from fossil resources through traditional chemical synthesis. Specifically, the project will address an urgent and unmet need for supplying bio-based Methionine (Met), an amino acid widely used in poultry diets. Met is the only chemically synthesized amino acid still allowed in organic poultry diets due to the absence of a bio-based alternative. The project deviates from traditional (i.e. open pond) microalgae production by utilizing photobioreactors (PBRs) within greenhouses, thus expanding opportunities to manufacture algae-derived products in cold-climate locations via alternative energy and renewable bio-sources. Although the exploratory seed grant project focuses on Met production, it also includes novel synthesis methods for greenhouse-based microalgae cultivation and process control that may be applicable to a wide range of bio-based products. The project also incorporates educational activities that will equip a diverse range of students and workforce participants with future manufacturing skills that will promote economic and workforce development as well as benefit the environment and society at many levels.The overall objective of the seed project is to develop energy-efficient oxygen-balanced mixotrophic (OBM) microalgae cultivation in combination with artificial intelligence (AI)-enabled system optimization and control to maximize the cost reduction potential of operating in colder-climate environments. To that end, a team of multidisciplinary experts will 1) investigate and manipulate Met yield within Chlorella sorokiniana (UTEX 1230); 2) design, assemble, and test various PBR designs and process configurations; 3) develop and integrate AI tools for process optimization and control; and 4) perform techno-economic analysis. Although the initial work will focus on the potential for commercialization in Connecticut, the anticipated results will set the stage for further research enabling energy-efficient, near-zero or negative CO2 emission manufacturing of a wide array of microalgae based products across cold-climate regions. Educational and outreach aspects of the seed project include training students in bioreactor design and operation, developing and running a pilot bootcamp for AI applications for future biomanufacturing, and recruiting students from underrepresented communities for biomanufacturing workforce development.This Future Manufacturing award was supported by the NSF divisions of Chemistry (CHE) and Chemical, Bioengineering, Environmental, and Transport Systems (CBET)This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

该项目探讨了开发未来制造工艺的可行性，将微藻可再生和弹性地转化为目前通过传统化学合成从化石资源生产的化学产品。 具体来说，该项目将解决生物基蛋氨酸（Met）供应的迫切且未得到满足的需求，蛋氨酸是一种广泛用于家禽日粮的氨基酸。由于缺乏生物替代品，蛋氨酸是有机家禽日粮中唯一仍允许使用的化学合成氨基酸。 该项目与传统（即开放池塘）微藻生产不同，利用温室内的光生物反应器（PBR）进行生产，从而扩大了通过替代能源和可再生生物资源在寒冷气候地区生产藻类衍生产品的机会。尽管探索性种子资助项目的重点是甲硫氨酸生产，但它还包括基于温室的微藻培养和过程控制的新型合成方法，这些方法可能适用于各种生物基产品。该项目还纳入教育活动，为各类学生和劳动力参与者提供未来的制造技能，从而促进经济和劳动力发展，并在多个层面造福环境和社会。种子项目的总体目标是开发节能的氧平衡混合营养（OBM）微藻培养与人工智能（AI）支持的系统优化和控制相结合，可最大限度地降低在寒冷气候环境中运行的成本潜力。 为此，多学科专家团队将 1) 调查和控制 Chlorella sorokiniana (UTEX 1230) 中的 Met 产量； 2）设计、组装和测试各种PBR设计和工艺配置； 3）开发和集成用于流程优化和控制的人工智能工具； 4) 进行技术经济分析。尽管初步工作将重点关注康涅狄格州的商业化潜力，但预期结果将为进一步研究奠定基础，从而在寒冷气候地区实现各种微藻类产品的节能、接近零或负二氧化碳排放的制造。 种子项目的教育和推广方面包括培训学生生物反应器设计和操作、开发和运行未来生物制造人工智能应用试点训练营，以及从代表性不足的社区招募学生进行生物制造劳动力发展。该未来制造奖得到了美国国家科学基金会的支持化学 (CHE) 和化学、生物工程、环境和运输系统 (CBET) 部门该奖项反映了 NSF 的法定使命，并通过使用基金会的智力价值进行评估，被认为值得支持以及更广泛的影响审查标准。