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This study develops a multifunctional food packaging film using potato protein and gelatin as a matrix, reinforced with zinc oxide and caffeic acid. The resulting film exhibits enhanced mechanical properties, antioxidant capacity, and ammonia-responsive color changes, making it suitable for food preservation and freshness monitoring.
This study identifies StICE1 as a key transcription factor in potato that enhances cold tolerance by directly activating the expression of StCBF genes. Through functional genomics and molecular assays, the researchers demonstrated that the StICE-StCBF-StCOR/StKIN1 pathway regulates antioxidant defenses and osmotic homeostasis, providing a target for breeding frost-resistant cultivars.
This study develops a web-based deep learning system for multi-crop disease detection, specifically including potato as one of its eight target crops. The research evaluates CNN architectures for identifying potato diseases from leaf images and integrates a Large Language Model to provide diagnostic information and treatment options.
This study investigates the impact of maturity on the volatile flavor profile of baked potatoes using HS-SPME-GC-MS and sensory evaluation. It identifies key pyrazine and aldehyde compounds as indicators of maturity and explores their interaction with human olfactory receptors through molecular docking.
This study describes the development of a novel fluorescent probe using silicon quantum dots (SiQDs) and Fe3+ for the sensitive detection of glyphosate pesticide residues. The method was successfully validated using potato samples, demonstrating its potential application in food safety and residue monitoring for potato crops.
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If you find this platform helpful for your research, please cite:
An AI-powered Knowledge Hub for Potato Functional Genomics, Plant Commun., 10.1016/j.xplc.2026.101730