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Daily Potato Research (2026-04-27)

Effect of Ultrasonic Waves and Other Technological Treatments on the Reduction of Acrylamide and Glycoalkaloids in Frozen Prefried Potatoes.

International journal of food science | 2026

This study investigates methods to reduce acrylamide and glycoalkaloid levels in three Peruvian potato varieties (Bicentenaria, CIP-Poderosa Pollera, and Única) using ultrasonic pretreatment and various frying techniques. The research identifies optimal processing conditions to produce safer fried potato products while maintaining quality attributes like color and texture.

Starch-based thickening in infant formula: in vitro study of behavior in the bottle and under gastric conditions.

Frontiers in nutrition | 2026

This study evaluates the rheological properties and preparation requirements of infant formulas thickened with potato starch compared to rice flour. It specifically examines how potato starch-based formulas maintain viscosity in the bottle and under simulated gastric conditions, providing insights into potato-derived food science and nutrition.

A Phytophthora infestans CRN1-derived small RNA is predicted to target the potato immune regulator EDS1.

Frontiers in plant science | 2026

This study investigates how the late blight pathogen Phytophthora infestans utilizes a small RNA derived from the PiCRN1 effector to target and suppress the potato immune regulator EDS1. The research explores cross-kingdom RNA trafficking and the potential role of extracellular vesicles in the molecular interaction between the pathogen and the potato host.

Potato Protein Isolate as a Solubility Enhancer of Poorly Water-Soluble Curcumin.

ACS omega | 2026-Apr-21

This study investigates the use of potato protein isolate (PPI), a byproduct of the potato starch industry, as a solubility enhancer for curcumin. The research demonstrates that PPI can effectively prevent curcumin precipitation and improve its aqueous solubility without exhibiting toxicity, highlighting its potential in pharmaceutical and food science applications.

Detecting nematodes in potato plants an explainable machine learning approach for detection of potato cyst nematode infections using hyperspectral imaging.

Plant phenomics (Washington, D.C.) | 2025-Dec

This study evaluates the use of hyperspectral imaging and machine learning to detect potato cyst nematode (Globodera rostochiensis and G. pallida) infections in potato plants. It explores the challenges of distinguishing nematode-induced stress from abiotic factors like water deficiency, identifying key spectral wavelengths for improved diagnostic accuracy.

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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