Matthew Jon Stasiewicz

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Assistant Professor

University of Illinois at Urbana-Champaign

United States

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About

Matthew Jon Stasiewicz is an Assistant Professor at the University of Illinois at Urbana-Champaign, USA. His research areas include food safety, agricultural practices, and the application of machine learning in food processing. Recent articles explore quantitative risk assessment models for various food products, the impact of storage systems on milk spoilage, and innovative methods for enhancing food safety and quality.

Recent Grants

Grant: Close

Aggregative Sampling For Powerful Preharvest Leafy Green Food Safety Testing

Open Date: 2021-01-01

Close Date: 2023-12-31

Grant: Close

IMPROVING MICROBIAL FOOD SAFETY THROUGH SIMULATION ANALYSIS OF FOOD SYSTEMS

Open Date: 2020-10-01

Close Date: 2025-09-30

Grant: Close

IMPROVING MICROBIAL FOOD SAFETY THROUGH ENGINEERING AND STATISTICAL APPROACHES IN FOOD MICROBIOLOGY

Open Date: 2015-12-22

Close Date: 2020-09-30

Grant: Close

Identification of Persistent Foodborne Bacterial Pathogens from Environmental Sampling Results with Statistical and Whole Genome Analyses

Open Date: 2013-09-01

Close Date: 2015-08-31

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Collaborators (5)

Daniel Weller

Adjunct Research Professor

Virginia Tech

UNITED STATES

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Melissa Prescott

Assistant Professor

Case Western Reserve University

UNITED STATES

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Jovana Kovacevic

UNITED STATES

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Vasco Cadavez

Professor Adjunto

Polytechnic Institute of Bragança

PORTUGAL

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Michael J. Miller

University of Illinois at Urbana-Champaign

UNITED STATES

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Matthew Jon Stasiewicz

Research Interests

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About

Recent Grants

Articles (25)

Quantitative model predicts implementing school cafeteria share tables will not compromise milk safety

Comparison of Alternative Wetting Agents for Drag and Bootie Swabs for Agricultural Soil Sampling

Distillation as an alternative use for deoxynivalenol-contaminated wheat or rye: minimal carryover of deoxynivalenol into distilled spirits

Engineering and evolution of Yarrowia lipolytica for producing lipids from lignocellulosic hydrolysates

Milk Spoilage Model Predicts that Share Tables Would Not Meaningfully Increase Spoilage and Improved Storage Systems Can Reduce Spoilage

Green synthesis of gold nanoparticles by curcin from Jatropha curcas: Characterization and antibacterial activity

Machine Learning and Taguchi DOE Combined Approach for Modeling Dynamic Ultrasound-Assisted Fresh-Cut Leafy Green Sanitation

Risk Assessment Predicts Most of the Salmonellosis Risk in Raw Chicken Parts is Concentrated in Those Few Products with High Levels of High-Virulence Serotypes of Salmonella

A Quantitative Risk Assessment Model for Listeria monocytogenes in Ready-to-Eat Smoked and Gravad Fish

A Quantitative Risk Assessment Model for Listeria monocytogenes in Non-Ready-to-Eat Frozen Vegetables

Aggregative Swab Sampling Method for Romaine Lettuce Show Similar Quality and Safety Indicators and Microbial Profiles Compared to Composite Produce Leaf Samples in a Pilot Study

Multispectral Sorting Based on Visibly High-Risk Kernels Sourced from Another Country Reduces Fumonisin and Toxigenic Fusarium on Maize Kernels

Spectral kernel sorting based on high-risk visual features associated with mycotoxin contamination reduces aflatoxin and fumonisin contamination in maize from Ghana

Tomato Plant Microbiota under Conventional and Organic Fertilization Regimes in a Soilless Culture System

Leafy Green Farm-to-Customer Process Model Predicts Product Testing Is Most Effective at Detecting Contamination When Conducted Early in the System before Effective Interventions

Time and Temperature Abuse of Milk in Conditions Representing a School Cafeteria Share Table Does Not Meaningfully Reduce Microbial Quality

Aggregative Soil Sampling Using Boot Covers Compared to Soil Grabs From Commercial Romaine Fields Shows Similar Indicator Organism and Microbial Community Recoveries

Modeling Preharvest Cyclospora cayetanensis Sampling and Testing for Various Water and Produce Sampling Plans

Risk Management Options to Reduce Human Salmonellosis Cases Due to Consumption of Raw Poultry

A Validated Preharvest Sampling Simulation Shows that Sampling Plans with a Larger Number of Randomly Located Samples Perform Better than Typical Sampling Plans in Detecting Representative Point-Source and Widespread Hazards in Leafy Green Fields

Efficacy of electron beam irradiation in reduction of mycotoxin-producing fungi, aflatoxin, and fumonisin, in naturally contaminated maize slurry

Quantitative modeling of school cafeteria share tables predicts reduced food waste and manageable norovirus-related food safety risk

Perspective: Challenges with product testing in powdered infant formula

Single kernel aflatoxin and fumonisin contamination distribution and spectral classification in commercial corn

Evaluation of the Impact of Skewness, Clustering, and Probe Sampling Plan on Aflatoxin Detection in Corn

Collaborators (5)

Daniel Weller

Melissa Prescott

Jovana Kovacevic

Vasco Cadavez

Michael J. Miller

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