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Metal-catalyzed lipid oxidation substantially reduces the shelf life of mayonnaise, thereby increasing the demand for metal-chelating antioxidants. This study, for the first time, combined Surface Plasmon Resonance (SPR) and Immobilized Metal Affinity Chromatography (IMAC) at low pH with a 28-day storage experiment in mayonnaise to screen peptides for antioxidant activity. These novel techniques could potentially replace time-consuming storage experiments in the discovery of new antioxidants. However, the application of SPR at low pH was hindered by non-specific binding, despite attempts to address this issue through various strategies. Surprisingly, IMAC experiments showed a distinct difference in affinity for Ni and Fe among all peptides tested, suggesting that peptide-metal ion affinity varies significantly. Nonetheless, no peptides enhanced mayonnaise's oxidative stability; some even acted as prooxidants. These findings emphasize the complexity of predicting antioxidant efficacy in food matrices and highlight the urgent need for further research to refine low pH screening methodologies.
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http://dx.doi.org/10.1016/j.foodchem.2025.143823 | DOI Listing |
PLoS One
September 2025
Satellite Collections North, Genebank Department, Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Malchow/Poel, Germany.
Treatment of seeds with cold atmospheric pressure plasma (CAPP) is in its proof-of-concept phase with regard to its effect on germination and plant growth. To increase the germination of hardseeded red clover (Trifolium pratense L.), seeds are usually scarified, which is time-consuming and labour-intensive.
View Article and Find Full Text PDFWaste Manag
September 2025
The State Key Laboratory of Pollution Control and Resource Reuse, School of Environmental Science and Engineering, Tongji University, 1239 Siping Road, Shanghai 200092, China.
Accurate prediction of hazardous chemical properties such as toxicity, flammability, reactivity, and reactivity with water (RW) is essential for the safe handling, storage, and transport of chemicals in industrial and environmental contexts. Traditional experimental methods are time-consuming, costly, and struggle to capture the complex, dynamic relationships between molecular structure and hazardous properties. Moreover, many conventional models lack interpretability, making it difficult to understand the underlying molecular interactions driving these properties.
View Article and Find Full Text PDFFood Chem
August 2025
Department of Food Science and Technology, Pukyong National University, Busan 48513, Republic of Korea. Electronic address:
Freshness is a critical attribute of seafood quality. However, conventional assessment methods are time-consuming and destructive. This study investigated a non-destructive approach using colorimetric analysis of the eye, belly, and dorsal regions of mackerel (Scomber japonicus), and correlated these changes with microbiological and physicochemical freshness indicators.
View Article and Find Full Text PDFAdv Healthc Mater
September 2025
Songshan Lake Materials Laboratory, Dongguan, Guangdong, 523808, China.
The cryopreservation of human red blood cells (RBCs) is essential for maintaining a stable blood supply, but current glycerol-based methods are hindered by complex and time-consuming post-thaw processing. While trehalose is a promising biocompatible cryoprotectant, its efficient intracellular delivery into non-endocytic RBCs remains a major hurdle. Here, a lyophilized, ionizable lipid nanoparticle (LNP) platform is reported that overcomes this challenge via an acidic pH-triggered membrane fusion mechanism.
View Article and Find Full Text PDFStud Health Technol Inform
September 2025
Department of Computer Science, Kempten University of Applied Sciences, Kempten, Germany.
Introduction: Manual ICD-10 coding of German clinical texts is time-consuming and error-prone. This project aims to develop a semi-automated pipeline for efficient coding of unstructured medical documentation.
State Of The Art: Existing approaches often rely on fine-tuned language models that require large datasets and perform poorly on rare codes, particularly in low-resource languages such as German.