Contact-killing antimicrobial cationic starch/PBAT blown films: Physicochemical properties, antimicrobial mechanism, and preservation capacity on beef.

Nanocellulose from oil palm biomass: A pathway to sustainable high-performance paper and packaging materials

The rapid growth of the food and beverage MSME sector in Indonesia, particularly in areas dominated by Muslim consumers such as Mekarwangi Village in Bogor, highlights the importance of halal assurance in purchasing decisions. This study aims to analyze the influence of halal labeling and halal certification on consumer purchase intention toward food and beverage MSME products. A quantitative approach was employed by distributing questionnaires to 100 respondents. The data were analyzed using multiple linear regression with the assistance of EViews 12 software. The findings reveal that halal labeling has a positive and significant effect on purchase intention, indicating that a clear halal logo on the product packaging can increase consumer confidence in purchasing decisions. Halal certification also has a positive and significant effect and becomes the most dominant factor influencing consumer purchase intention. The regression model explains 91.81% of the variation in purchase intention, while the remaining percentage is explained by other external factors. Classical assumption tests confirm that the model fulfills BLUE criteria, ensuring the validity of the estimation results. This study emphasizes that halal-based marketing strategies are crucial to enhance consumer trust and strengthen the competitive advantage of MSMEs operating in the food and beverage industry within local markets.

Water-resistant, flexible and transparent cellulose nanofibril film for exceptional oxygen-barrier performance under high humidity.

Traditional design methods for power module packaging heavily rely on manual experiences. Although the computer-aided optimization (CAO) methods utilizing metaheuristic algorithms for example have accelerated the design process, they are still affected by lengthy iterative cycles when including 3D numerical simulations. Regarding these issues, this paper proposes a multi-objective automated design (MOAD) method for power modules based on machine learning, combining Artificial Neural Networks (ANN) and Deep Reinforcement Learning (DRL). The proposed ANN model can save massive time of iterative 3D numerical calculations in multi-objective optimization (MOO) design of the power module packaging, meanwhile avoiding the complex interaction of different software. The DRL algorithm can output the optimal design variables efficiently, even when design requirements change after the agent are well trained. A 1200 V/300 A double-sided cooled (DSC) module is used as a case study to validate the proposed method. Aiming to the four objectives-parasitic inductance (L), junction temperature (Tj), temperature difference (ΔTj), and power density ρ-the power module are optimized and assembled. The proposed method is validated respectively with simulation and experiment.

Development of active bioplastic films from sodium alginate/polyvinyl alcohol-polyethylene glycol copolymer incorporating syringic acid for postharvest mushroom preservation.

Tailoring biodegradable copolyesters from bis(2-hydroxyethyl) terephthalate and aliphatic dicarboxylic acids: Toward sustainable packaging materials

Recent advances in biodegradable polymer-based packaging film/coatings on shelf-life extension of banana.

Non-covalent interaction-driven assembly of antimicrobial potato protein/ε-polylysine hydrochloride/tannic acid bioplastics for blueberries preservation.

Pomelo peel waste was valorized through an ultrasound-assisted integrated strategy to simultaneously recover pectin and essential oil for the fabrication of active biodegradable packaging films. Ultrasonic cavitation significantly promoted cell wall disruption and mass transfer, enabling the efficient co-extraction of pectin and essential oil in a single process. The essential oil was further converted into a stable nanoemulsion via ultrasonic emulsification and incorporated into a pectin/polyvinyl alcohol/carboxymethyl cellulose composite film. The physicochemical, structural, mechanical, and aroma-related properties of the films were systematically characterized by FTIR, XRD, tensile analysis, and electronic nose. The optimized film exhibited balanced mechanical performance with a tensile strength of 6.27MPa, an elongation at break of 5.52%, and a light transmittance of 43.52%, indicating good flexibility and optical properties. Sensors responsive to nitrogen- and sulfur-containing compounds showed higher signals, likely due to oxidative transformation products rather than native sulfur volatiles. The preservation performance was evaluated using fresh strawberries as a model system. Compared with the control group, the ultrasound-enabled essential oil film effectively reduced weight loss, delayed microbial spoilage, and extended the storage life by nearly five days at room temperature. This study demonstrates that ultrasound not only intensifies the sustainable extraction of functional biopolymers but also regulates the structural assembly and release behavior of active packaging films. The proposed strategy provides a green and scalable route for converting Citrus processing waste into high-value antimicrobial packaging materials.

A pH-sensitive film with synergistic photothermal antibacterial and antioxidant functions for pork preservation and visual quality alert.

Recent advance in synthesis of monodisperse porous poly(styrene-divinylbenzene) microspheres for chromatographic separation.

Analysis of Turkish beer consumer preferences: Extrinsic attributes of beer package design

Beyond taste: A multisensory evaluation framework for fine dining takeout packaging design

Quantifying environmental benefits of monomaterial transition in flexible packaging applications

ENDSs have become widely popular, inadvertently increasing the risk of pediatric liquid nicotine exposures. Even small amounts of concentrated nicotine can result in severe toxicity in young children. This study aimed to quantify emergency department visits for liquid nicotine poisoning among children aged <5 years from 2019 to 2024. Data from the National Electronic Injury Surveillance System from 2019 to 2024 were analyzed using a cross-sectional approach. Cases were identified by extracting records with poisoning diagnoses and filtering narratives using keywords associated with ENDS poisonings. Two independent reviewers confirmed each case involving exposure to ENDS liquid nicotine. National Electronic Injury Surveillance System sample weights were applied to produce national estimates with 95% CIs. An estimated 3,952 emergency department visits nationally (95% CI=2,600; 5,305) were attributed to liquid nicotine poisoning among children aged <5 years from 2019 to 2024. Children aged <2 years accounted for 2,921 cases (73.9%). Males represented 2,345 cases (59.3%), and females represented 1,607 cases (40.7%). White children comprised 2,345 cases (59.3%). Most children (88.3%) were treated and released, whereas 165 cases (4.2%) required hospital admission. No fatalities were reported. Liquid nicotine poisoning remains a significant pediatric health concern, with over 3,900 emergency department visits nationally during 2019-2024. Children aged <2 years are at highest risk owing to developmental factors and exploratory behaviors. Although most cases did not require hospitalization, the potential for serious outcomes underscores the need for enhanced prevention strategies, including improved product packaging and public education about safe storage practices.

Patient falls remain a major concern in hospitals, leading to serious harm and significant costs. Although various fall prevention interventions exist, the factors influencing their successful implementation, especially across different hospital contexts, are poorly understood. This study applied implementation theory to explore factors affecting the implementation of the Rauland Concentric Care digital fall prevention platform in two contextually different Australian hospitals. Qualitative data were collected through semi-structured interviews and small focus groups with nurses: 12 participants from four wards in a newly built 300-bed rural referral hospital, and ten participants from three wards in a 400-bed community hospital. Data were coded using the Consolidated Framework for Implementation Research (CFIR), and barrier/enabler statements were developed through consensus. The most frequently cited factors were identified and compared across sites. Despite contextual differences, three common factors that influenced implementation emerged: Patient Needs and Resources (Hospital 1: n = 12; Hospital 2: n = 10), Design Quality and Packaging (Hospital 1: n = 11; Hospital 2: n = 10), and Knowledge and Beliefs About the Intervention (Hospital 1: n = 10; Hospital 2: n = 8). These findings suggest that certain factors consistently affected the implementation of the Rauland Concentric Care digital fall prevention platform across hospital settings. Hospitals planning to implement this digital platform may benefit from proactively addressing these three key factors. As adoption expands across Australia, future research should explore whether these findings hold true in other health care settings.

CO2 and pH influence the effect of O2 on the growth of Listeria monocytogenes at refrigeration conditions.

This paper presents a mechanical simulation of image sensor packages, with a particular emphasis on accurately modeling the cure shrinkage and viscoelasticity. Image sensors have a wide application in mobile phones, autonomous vehicles, and medical imaging. They are highly sensitive to warpage and misalignment, which can significantly degrade the image quality. The encapsulant acts as a primary barrier, protecting the sensor from external factors such as moisture and thermal mechanical stress. Accurately modeling and predicting the package warpage is crucial to ensure the optimal optical performance. Previous simulation studies on image sensor packaging often neglect cure shrinkage, leading to inaccurate warpage predictions. Cure shrinkage, a phenomenon where the material contracts during the curing process, can induce significant stress on the package and lead to warpage in addition to CTE-mismatch. This work developed a new simulation approach to incorporating cure shrinkage modeling, and it achieved a much higher degree of accuracy in predicting package warpage, as demonstrated by the close correlation between simulation results and actual warpage testing data. Furthermore, this paper studied the impact of using viscoelastic properties and compared time-dependent deformation with elastic solutions. Finally, this paper conducted comprehensive design of experiments (DOE) studies to evaluate the impact of different encapsulant materials on the susceptibility to glass cracking. The findings of this work are particularly useful for improved warpage prediction in simulation and better understanding of encapsulant properties, ultimately optimizing the package design and enhancing the reliability and longevity of electronic devices.

Smart packaging for meat products enables real-time evaluation of food freshness by monitoring volatile gases released during spoilage, among which ammonia (NH3) is widely recognized as one of the most representative indicator molecules due to its close correlation with protein degradation. Compared with conventional sensing systems that rely on external power sources, integrated self-powered ammonia sensors offer advantages such as nondestructive detection, structural simplicity, and portability, demonstrating potential for smart packaging applications. In this work, a mechanically reinforced three-dimensional cellulose-based porous network was constructed through hydrogen-bonding interactions between sodium carboxymethyl cellulose (CMC-Na) and sodium alginate (SA), combined with Ca2+-induced ionic cross-linking. Ti3C2Tx (MXene) nanosheets were uniformly dispersed within the network to form continuous conductive pathways, which contributed to the elevation of the surface potential for the positive triboelectric material and enhanced the electrical response to NH3 gas. The fabricated triboelectric nanogenerator (TENG) delivers an open-circuit voltage of approximately 160 V and a maximum short-circuit current of 16 μA. It exhibits a high linearity to NH3 concentrations ranging from 3 to 100 ppm, with a sensitivity of 1.236 V/ppm, a low limit of detection (LOD) of 0.95 ppm, and rapid response/recovery times of 16 and 38 s, respectively. Notably, the relative voltage variation (ΔV/V0) reaches as high as 77% under 100 ppm of NH3 exposure. This study provides a feasible material design strategy and device implementation route for self-powered NH3-sensing smart packaging systems.