NSF Convergence Accelerator Track J: Dairy Protein Product Research and Innovation Hub

NSF 融合加速器轨道 J:乳蛋白产品研究和创新中心

基本信息

  • 批准号:
    2235992
  • 负责人:
  • 金额:
    $ 75万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2022
  • 资助国家:
    美国
  • 起止时间:
    2022-12-15 至 2024-11-30
  • 项目状态:
    已结题

项目摘要

The world population is expected to reach 10 billion by 2050. A critical challenge facing humanity is growing demand for nutrient-dense foods with longer shelf-life and climate resilience to reach regions of the world most impacted by extreme weather conditions, geopolitical turmoil, and mass migration. Milk is nutrient-dense, containing vitamins and minerals, fat, and protein content used to produce a range of products that are widely consumed across the world by people of all ages, from infants to seniors. However, current dairy product manufacturing methods are rate limited, and use outdated processing practices that suffer from critical efficiency shortcomings in monitoring protein integrity, separation science, and spray drying of protein powders. This project will address the knowledge gap currently preventing adoption of state-of-the-art technological solutions by creating a roadmap for the implementation of intelligent sensing and advanced manufacturing technologies aimed at efficient production of high-value products for consumers that address nutrition security at a domestic and global level. The project team’s use-inspired approach targets farmers and rural communities, dairy processors, and consumers of food products containing dairy protein powder ingredients. Dairy is the single largest component of the Idaho agricultural economy, being driven predominantly by farmers and processors in rural counties, where underserved minority populations are increasing at a rapid rate in a state that is among the fastest growing in the United States. This project will focus on educational programs and workforce development for these underserved minority populations through land grant university extension outreach programs, partnership with dairy marketing and communication organizations (Dairy West), and organizations dedicated to the training and workforce development pipeline for students to careers in dairy processing (BUILD Dairy). University programs including the Vertically Integrated Project curriculum and BUILD Dairy-sponsored projects, offer students training essential for their employment in high-paying, benefit-eligible positions in rural communities throughout Idaho and the United States.The goal of this Convergence Accelerator is to modernize the dairy processing industry by fusing artificial intelligence, chemometric sensing, and advanced manufacturing tools to achieve transformative efficiency, quality, and quantity gains in the production of shelf-stable, nutrient-dense, protein powder products. To achieve this convergence goal, a team of academic researchers and industry stakeholders with exceptional credentials, experience, and knowledge in food and dairy chemistry, computer science/artificial intelligence, microbiology, rheology, food process engineering, and food process technology has been assembled. The specific deliverables are: (1) Develop artificial intelligence-based chemometric solutions to automate the use of near-infrared spectroscopy for the real-time analysis of proteins in milk during processing to improve the quality of dairy products and reduce waste; (2) Implement and optimize operating conditions for advanced manufacturing pulsed electric field and extruder equipment into dairy facilities to improve processing efficiency, product quality, reduce waste, conserve energy, and expand capacity; and (3) Converge sciences, engineering, computer science, food science, nutrition, dairy farming, supply chain management, and workforce training to develop innovative protein products for early childhood development, adolescent and adult nutrition, and senior care that are shelf-stable, nutrient-dense, and impactful to a global market.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.
到 2050 年,世界人口预计将达到 100 亿。人类面临的一个重大挑战是对营养丰富、保质期更长、气候适应能力更强的食品的需求不断增长,以满足世界上受极端天气条件、地缘政治动荡和气候变化影响最严重的地区的需求。牛奶营养丰富,含有维生素、矿物质、脂肪和蛋白质,用于生产一系列产品,被世界各地从婴儿到老年人广泛消费。制造方法受到限制,并且使用过时的加工方法,这些方法在监测蛋白质完整性、分离科学和蛋白粉喷雾干燥方面存在严重的效率缺陷。该项目将解决目前阻碍采用最先进技术的知识差距。该项目团队通过制定实施智能传感和先进制造技术的路线图来提供技术解决方案,旨在为消费者高效生产高价值产品,解决国内和全球层面的营养安全问题。 、乳制品加工商和含有以下成分的食品消费者乳制品是爱达荷州农业经济的最大组成部分,主要由农村县的农民和加工商推动,在这个美国增长最快的州之一,服务不足的少数族裔人口正在迅速增加。该项目将通过赠地大学扩展外展计划、与乳制品营销和传播组织(Dairy West)以及致力于为学生提供培训和劳动力发展渠道的组织合作,重点关注这些服务不足的少数群体的教育计划和劳动力发展。乳品加工职业(BUILD Dairy)。包括垂直整合项目课程和 BUILD Dairy 赞助项目在内的大学课程为学生提供了在爱达荷州和美国各地农村社区从事高薪、符合福利资格的职位所必需的培训。该融合加速器的目标是实现现代化通过融合人工智能、化学计量传感和先进的制造工具,乳品加工业在生产耐储存、营养丰富的蛋白粉产品方面实现了效率、质量和数量的变革。为了实现融合目标,一支由在食品和乳制品化学、计算机科学/人工智能、微生物学、流变学、食品加工工程和食品加工技术方面具有卓越资历、经验和知识的学术研究人员和行业利益相关者组成的团队已经组建完成。包括: (1) 开发基于人工智能的化学计量学解决方案,自动使用近红外光谱技术对加工过程中牛奶中的蛋白质进行实时分析,以提高乳制品的质量并减少浪费; (2) 实施和优化先进制造脉冲电场和挤出机设备在乳制品设施中的运行条件,以提高加工效率、产品质量、减少浪费、节约能源并扩大产能;(3) 融合科学、工程、计算机科学、食品科学、营养学、乳制品;农业、供应链管理和劳动力培训,为儿童早期发展、青少年和成人营养以及老年护理开发创新的蛋白质产品,这些产品具有货架稳定性、营养丰富且对全球市场有影响力。该奖项反映了 NSF 的法定使命并已被视为值得通过使用基金会的智力优点和更广泛的影响审查标准进行评估来支持。

项目成果

期刊论文数量(2)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Development of methodology for assessing flowability of milk protein powders using shear failure testing device
开发使用剪切破坏测试装置评估乳蛋白粉流动性的方法
  • DOI:
    10.1016/j.jfoodeng.2023.111450
  • 发表时间:
    2023-07
  • 期刊:
  • 影响因子:
    5.5
  • 作者:
    Palmer, Katelynn;Parhi, Ashutos;Shetty, Abhishek;Sunkesula, Venkateswarlu;Sharma, Prateek
  • 通讯作者:
    Sharma, Prateek
Integration of Meta-Multi-Omics Data Using Probabilistic Graphs and External Knowledge
使用概率图和外部知识整合元多组学数据
  • DOI:
    10.3390/cells12151998
  • 发表时间:
    2023-08-04
  • 期刊:
  • 影响因子:
    6
  • 作者:
    Can, Handan;Chanumolu, Sree K.;Nielsen, Barbara D.;Alvarez, Sophie;Naldrett, Michael J.;Unlu, Guelhan;Otu, Hasan H.
  • 通讯作者:
    Otu, Hasan H.
{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ monograph.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ sciAawards.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ conferencePapers.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ patent.updateTime }}

Owen McDougal其他文献

Owen McDougal的其他文献

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

{{ truncateString('Owen McDougal', 18)}}的其他基金

NSF Convergence Accelerator Track J Phase 2: Dairy NutriSols - Catalyzing technology adoption to promote food and nutrition security
NSF 融合加速器轨道 J 第 2 阶段:乳制品 NutriSols - 促进技术采用,促进食品和营养安全
  • 批准号:
    2345069
  • 财政年份:
    2023
  • 资助金额:
    $ 75万
  • 项目类别:
    Cooperative Agreement
MRI: Acquisition of a 400 MHz NMR Spectrometer to Broaden Research Experiences for Undergraduates at Southern Oregon University.
MRI:购买 400 MHz NMR 波谱仪,以拓宽南俄勒冈大学本科生的研究经验。
  • 批准号:
    0116245
  • 财政年份:
    2001
  • 资助金额:
    $ 75万
  • 项目类别:
    Standard Grant

相似国自然基金

通算协同的高准确、快收敛无线分布式学习优化研究
  • 批准号:
    62301222
  • 批准年份:
    2023
  • 资助金额:
    30 万元
  • 项目类别:
    青年科学基金项目
数据驱动的降维优化流场加速收敛方法研究
  • 批准号:
    12372290
  • 批准年份:
    2023
  • 资助金额:
    53 万元
  • 项目类别:
    面上项目
多维连续变体飞行器在线动态协调轨迹规划与预设性能/收敛时间控制
  • 批准号:
    62373124
  • 批准年份:
    2023
  • 资助金额:
    50 万元
  • 项目类别:
    面上项目
Stokes方程的高阶元有限体积法的稳定性和收敛性
  • 批准号:
    12301506
  • 批准年份:
    2023
  • 资助金额:
    30 万元
  • 项目类别:
    青年科学基金项目
Landau方程和Vlasov-Poisson-Boltzmann方程组解的适定性和收敛率的研究
  • 批准号:
    12301284
  • 批准年份:
    2023
  • 资助金额:
    30 万元
  • 项目类别:
    青年科学基金项目

相似海外基金

NSF Convergence Accelerator Track K: Equity in water information for community capacity building
NSF 融合加速器轨道 K:社区能力建设的水信息公平
  • 批准号:
    2344375
  • 财政年份:
    2024
  • 资助金额:
    $ 75万
  • 项目类别:
    Standard Grant
NSF Convergence Accelerator Track L: UAV-assisted dual-comb spectroscopic detection, localization, and quantification of multiple atmospheric trace-gas emissions
NSF 收敛加速器轨道 L:无人机辅助的双梳光谱检测、定位和多种大气痕量气体排放的量化
  • 批准号:
    2344395
  • 财政年份:
    2024
  • 资助金额:
    $ 75万
  • 项目类别:
    Standard Grant
NSF Convergence Accelerator Track M: Enabling novel photonic neuromorphic devices through bridging DNA-programmable assembly and nanofabrication
NSF 融合加速器轨道 M:通过桥接 DNA 可编程组装和纳米制造实现新型光子神经形态设备
  • 批准号:
    2344415
  • 财政年份:
    2024
  • 资助金额:
    $ 75万
  • 项目类别:
    Standard Grant
NSF Convergence Accelerator (L): Innovative approach to monitor methane emissions from livestock using an advanced gravimetric microsensor.
NSF Convergence Accelerator (L):使用先进的重力微传感器监测牲畜甲烷排放的创新方法。
  • 批准号:
    2344426
  • 财政年份:
    2024
  • 资助金额:
    $ 75万
  • 项目类别:
    Standard Grant
NSF Convergence Accelerator Track M: Bioinspired Multispectral Imaging Technology for Intraoperative Cancer Detection
NSF 融合加速器轨道 M:用于术中癌症检测的仿生多光谱成像技术
  • 批准号:
    2344460
  • 财政年份:
    2024
  • 资助金额:
    $ 75万
  • 项目类别:
    Standard Grant
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了