Predictive Modeling of Channel Catfish Under Varying Temperatures: Quality Dynamics and Warning Thresholds
Hongyu Jiang, Wang Li, Binchen Wang, Enhao Yao, Yingxi Chen, Sufang Zhang, Beiwei Zhu · 2026
Read Predictive Modeling of Channel Catfish Under Varying Temperatures: Quality Dynamics and Warning Thresholds by Hongyu Jiang, Wang Li, Binchen Wang, Enhao Yao, Yingxi Chen, Sufang Zhang, Beiwei Zhu (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-13163288.txt.
Description
Hongyu Jiang and co-authors build forecast models for how channel catfish quality fades in storage, in a 2026 study. Spoilage pace swings with temperature, so cold chains need warning thresholds, not just averages. The team modeled germ growth and a nitrogen marker of decay across storage temperatures.
Classic growth curves, reshaped with temperature laws, formed the base models. For most samples their forecasts landed within a fifth of measured values, and within a tighter band during the key two-to-six-day window. Two neural network designs did even better, with fit scores above 0.9. Warning thresholds were read from the bend points of the decay curves. Fish sellers gain tools to time discounts and pulls before quality fails.
Catalog record
| CREATOR | Hongyu Jiang, Wang Li, Binchen Wang, Enhao Yao, Yingxi Chen, Sufang Zhang, Beiwei Zhu |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 43 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |