Results 71 to 80 of about 1,165,917 (307)

Biomass Native Structure Into Functional Carbon‐Based Catalysts for Fenton‐Like Reactions

open access: yesAdvanced Functional Materials, EarlyView.
This study indicates that eight biomasses with 2D flaky and 1D acicular structures influence surface O types, morphology, defects, N doping, sp2 C, and Co nanoparticles loading in three series of carbon, N‐doped carbon, and cobalt/graphitic carbon. This work identifies how these structural factors impact catalytic pathways, enhancing selective electron
Wenjie Tian   +7 more
wiley   +1 more source

Inside the Kitchen: Food Recovery at RWU [PDF]

open access: yes, 2018
A student led effort to combat food waste at RWU and food insecurity in the ...
Siliezar, Juan
core   +1 more source

Composites of Shellac and Silver Nanowires as Flexible, Biobased, and Corrosion‐Resistant Transparent Conductive Electrodes

open access: yesAdvanced Functional Materials, EarlyView.
Shellac, a centuries‐old natural resin, is reimagined as a green material for flexible electronics. When combined with silver nanowires, shellac films deliver transparency, conductivity, and stability against humidity. These results position shellac as a sustainable alternative to synthetic polymers for transparent conductors in next‐generation ...
Rahaf Nafez Hussein   +4 more
wiley   +1 more source

From Attitude to Behavior: The Effect of Residents’ Food Waste Attitudes on Their Food Waste Behaviors in Shanghai

open access: yesFoods
Preventing food waste is important. Analyzing the effects of food waste attitudes on urban residents’ waste production behaviors is necessary to reduce food waste. As Shanghai is a mega-city with a population of 24 million people, once food is adequately
Caixia Li   +4 more
doaj   +1 more source

Electroactive Metal–Organic Frameworks for Electrocatalysis

open access: yesAdvanced Functional Materials, EarlyView.
Electrocatalysis is crucial in sustainable energy conversion as it enables efficient chemical transformations. The review discusses how metal–organic frameworks can revolutionize this field by offering tailorable structures and active site tunability, enabling efficient and selective electrocatalytic processes.
Irena Senkovska   +7 more
wiley   +1 more source

Restaurant food waste management strategy in Asia using the Restaurant Food Waste Map (RFWM) approach [PDF]

open access: yesBIO Web of Conferences
Background: Food waste is a global issue due to its serious environmental, economic, and social impacts. Objective: This research aimed to collect information regarding restaurant food waste management using the Restaurant Food Waste Map (RFWM) approach.
Fajriah Elsa   +2 more
doaj   +1 more source

Food waste composting in cafeterias: a case study [PDF]

open access: yes, 2020
Excessive waste has become the environmental issue that cannot be neglected. Food wastes are among the waste that filled up the landfill sites and they are abundance.
Ab. Aziz, Siti Hanisah   +6 more
core  

Chemoselective Sequential Polymerization: An Approach Toward Mixed Plastic Waste Recycling

open access: yesAdvanced Functional Materials, EarlyView.
Inspired by biological protein metabolism, this study demonstrates the closed‐loop recycling of mixed synthetic polymers via ring‐closing depolymerization followed by a chemoselective sequential polymerizations process. The approach recovers pure polymers from mixed feedstocks, even in multilayer formats, highlighting a promising strategy to overcome a
Gadi Slor   +5 more
wiley   +1 more source

The association between sensory preference and household food waste: evidence from China

open access: yesFrontiers in Sustainable Food Systems
Household food waste contributes to 60% of total global food waste. Based on an online questionnaire survey on household food waste in China, this paper explores the association between sensory preference and household food waste using an Oprobit model ...
Li Zhang   +4 more
doaj   +1 more source

Smarter Sensors Through Machine Learning: Historical Insights and Emerging Trends across Sensor Technologies

open access: yesAdvanced Functional Materials, EarlyView.
This review highlights how machine learning (ML) algorithms are employed to enhance sensor performance, focusing on gas and physical sensors such as haptic and strain devices. By addressing current bottlenecks and enabling simultaneous improvement of multiple metrics, these approaches pave the way toward next‐generation, real‐world sensor applications.
Kichul Lee   +17 more
wiley   +1 more source

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