Integrating Mechanistic and Machine Learning Models for Alternaria Mycotoxin Prediction

Y. Zhang; C. Liu; Jianbin Yan; H.J. van der Fels

Integrating Mechanistic and Machine Learning Models for Alternaria Mycotoxin Prediction

Y. Zhang
, C. Liu
, Jianbin Yan
, H.J. van der Fels

Research output: Contribution to conference › Poster › Academic

Abstract

Tomatoes, a widely grown vegetable, are vulnerable to infections by Alternaria species, which can lead to contamination with mycotoxins such as alternariol (AOH), alternariol monomethyl ether (AME), and tenuazonic acid ( TeA ), posing health risks. Traditionally, mycotoxin control in tomatoes has depended on chemical fungicides, raising environmental concerns and contributing to fungal resistance. Therefore, a targeted control measure specifically against Alternaria mycotoxins is necessary.

Original language	English
Number of pages	1
Publication status	Published - 29 Oct 2025
Event	Internal PhD meeting Wageningen Food Safety Research - Wageningen, Netherlands Duration: 29 Oct 2025 → 29 Oct 2025

Other

Other	Internal PhD meeting Wageningen Food Safety Research
Country/Territory	Netherlands
City	Wageningen
Period	29/10/25 → 29/10/25

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

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Cite this

@conference{3b2f4881d3b24c15b2e62190305a5f32,

title = "Integrating Mechanistic and Machine Learning Models for Alternaria Mycotoxin Prediction",

abstract = "Tomatoes, a widely grown vegetable, are vulnerable to infections by Alternaria species, which can lead to contamination with mycotoxins such as alternariol (AOH), alternariol monomethyl ether (AME), and tenuazonic acid ( TeA ), posing health risks. Traditionally, mycotoxin control in tomatoes has depended on chemical fungicides, raising environmental concerns and contributing to fungal resistance. Therefore, a targeted control measure specifically against Alternaria mycotoxins is necessary.",

author = "Y. Zhang and C. Liu and Jianbin Yan and \{van der Fels\}, H.J.",

year = "2025",

month = oct,

day = "29",

language = "English",

note = "Internal PhD meeting Wageningen Food Safety Research ; Conference date: 29-10-2025 Through 29-10-2025",

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TY - CONF

T1 - Integrating Mechanistic and Machine Learning Models for Alternaria Mycotoxin Prediction

AU - Zhang, Y.

AU - Liu, C.

AU - Yan, Jianbin

AU - van der Fels, H.J.

PY - 2025/10/29

Y1 - 2025/10/29

N2 - Tomatoes, a widely grown vegetable, are vulnerable to infections by Alternaria species, which can lead to contamination with mycotoxins such as alternariol (AOH), alternariol monomethyl ether (AME), and tenuazonic acid ( TeA ), posing health risks. Traditionally, mycotoxin control in tomatoes has depended on chemical fungicides, raising environmental concerns and contributing to fungal resistance. Therefore, a targeted control measure specifically against Alternaria mycotoxins is necessary.

AB - Tomatoes, a widely grown vegetable, are vulnerable to infections by Alternaria species, which can lead to contamination with mycotoxins such as alternariol (AOH), alternariol monomethyl ether (AME), and tenuazonic acid ( TeA ), posing health risks. Traditionally, mycotoxin control in tomatoes has depended on chemical fungicides, raising environmental concerns and contributing to fungal resistance. Therefore, a targeted control measure specifically against Alternaria mycotoxins is necessary.

M3 - Poster

T2 - Internal PhD meeting Wageningen Food Safety Research

Y2 - 29 October 2025 through 29 October 2025

ER -

Integrating Mechanistic and Machine Learning Models for Alternaria Mycotoxin Prediction

Abstract

Other

UN SDGs

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