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Developing sustainable and multifunctional intelligent packaging systems has emerged as a highly promising approach to reducing plastic pollution, minimizing food waste, and enhancing food safety. In this research, a biodegradable intelligent active packaging with a dual pH-responsive system was created by incorporating fat-soluble curcumin (CUR) and water-soluble roselle anthocyanins (RSA) into core and shell, respectively, of starch-based fibers using emulsion electrospinning. Octenyl succinic anhydride starch/polyvinyl alcohol complexes functioned as both fiber wall materials and emulsifiers, stabilizing double-loaded nano-emulsions (88.19 ± 8.33 nm) while conferring auto-degradability to fibers within 5 d without contamination risks. The core-shell structure construction and oil-phase loading improved mechanical strength of fiber around 4 times (8.74 ± 0.17 MPa), elevated the water contact angle to 75.32 ± 2.32°, and lowered the water vapor transmission rate to 4.94 × 10 g·cm/(cm·s·Pa), while enhancing thermal stability and UV resistance. More crucially, the color response range and sensitivity (response process <130 s) of fiber were broadened under the superposition of internal-external color effects of CUR in core layer and RSA in shell layer, resolving accuracy limitations of single-indicator systems. When applied to shrimp and pork packaging, CUR's controlled release delayed spoilage while fiber color parameters demonstrated strong correlation with spoilage indicators such as TVB-N (R > 0.92). In summary, this eco-friendly strategy, leveraging emulsion electrospinning with internal-external co-loading of dual pH-responsive systems, offers a versatile design concept for replacing plastics and advancing intelligent food packaging, with significant potential for future applications in food commercialization.
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http://dx.doi.org/10.1016/j.carbpol.2025.123940 | DOI Listing |
Bioinformatics
September 2025
Department of Mathematical Sciences, Chalmers University of Technology, Gothenburg, Sweden.
Summary: Dynamic models represent a powerful tool for studying complex biological processes, ranging from cell signalling to cell differentiation. Building such models often requires computationally demanding modelling workflows, such as model exploration and parameter estimation. We developed two Julia-based tools: SBMLImporter.
View Article and Find Full Text PDFJ Vis Exp
August 2025
Tencent Quantum Laboratory;
Electrolytes are important components in lithium-ion batteries. However, battery degradation due to irreversible electrochemical reactions in the electrolyte can consume electrolyte molecules and severely reduce its effective operation lifetime. It is hence important to study the electrochemical reaction pathways in the battery electrolyte to further improve lithium-ion battery reliability.
View Article and Find Full Text PDFACS Omega
September 2025
College of Intelligent Science and Control Engineering, Jinling Institute of Technology, Nanjing 211169, Jiangsu, China.
State of charge (SOC) is extremely critical to the reliability of lithium-ion (Li-ion) battery utilization. In this study, a novel problem in which internal differences occurred in the battery package, causing uncertain SOC initialization of each battery unit, is solved by combining the variational theorem and the extended Kalman filter (EKF) algorithm. First, the importance of the initialized SOC setting of each unit in the battery package is proposed by determining the theoretical relationship between the initialization value and the current estimation result.
View Article and Find Full Text PDFJ Mol Model
September 2025
School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou, 350116, People's Republic of China.
Context: This study systematically investigates the growth mechanism of nitrogen-doped graphene in a plasma environment, with a particular focus on the effects of temperature and hydrogen radicals on its structural evolution. The results reveal that, at 3000 K, the formation of nitrogen-doped graphene proceeds through three stages: carbon chain elongation, cyclization, and subsequent condensation into planar structures. During this process, nitrogen atoms are gradually incorporated into the carbon network, forming various doping configurations such as pyridinic-N, pyrrolic-N, and graphitic-N.
View Article and Find Full Text PDFAppl Psychol Meas
September 2025
Department of Philosophy, Sociology, Education and Applied Psychology, University of Padova (IT), Italy.