Fungal Growth Risk Prediction and Optimal Regulation Method for Food Storage Based on the Forward Reachable Set.

Zhiyao Zhao, Mengshan Li, Yuqin Zhou, Fan Zhang, Xiaolei Sun

Abstract read

In one paragraph

Article in Foods (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing papers in PubMed

–field-weighted citation impact

1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Zhiyao ZhaoSchool of Computer and Artificial Intelligence, Beijing Technology and Business University, Beijing 100048, China.ORCID 0000-0001-8565-4430

Mengshan LiSchool of Computer and Artificial Intelligence, Beijing Technology and Business University, Beijing 100048, China.

Yuqin ZhouSchool of Computer and Artificial Intelligence, Beijing Technology and Business University, Beijing 100048, China.

Fan ZhangSchool of Computer and Artificial Intelligence, Beijing Technology and Business University, Beijing 100048, China.

Xiaolei SunSchool of Computer and Artificial Intelligence, Beijing Technology and Business University, Beijing 100048, China.

Funding

The Beijing Nova Program 202604841202the National Key Research and Development Program of China 2022YFF1101103the Special Fund for National Natural Science Foundation of China 62541302the Youth Scholars of Beijing Technology and Business University RFYS2025

6 · The paper itself

Abstract

Affected by coupled environmental factors including temperature and water activity, food storage is restricted by fungal contamination, quality degradation, and energy limits. Conventional microbial growth prediction models typically rely on given initial states and environmental parameters, making it difficult to account for the effects of prior-parameter errors and thereby limiting the accurate quantification of fungal growth risk and the real-time regulation of storage environments. This paper develops a fungal growth risk prediction and optimal regulation method for food storage based on the forward reachable set (FRS). The method combines a fungal growth kinetic model for

Indexed as

food storageforward reachable setfungal growthoptimal regulationrisk prediction

Identifiers

PMID42737218

DOI10.3390/foods15172975

PMCPMC13565433

What OpenQuestion holds

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.