Results 261 to 270 of about 541,445 (355)

Enhanced Surface Properties of Biochar Using Activation Strategies for Sustainable Dye Removal: A Review

open access: yesAsia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT Water pollution due to hazardous dyes is a severe issue that requires investigation through sustainable and cost‐effective approaches. In the current scenario, biochar, a carbon‐rich material derived from biomass, has found significant importance as an alternative to traditional adsorbents like activated carbon.
Avanish Kumar   +4 more
wiley   +1 more source

Removal of Methylene Blue and Congo Red Dyes Using Sustainable and Eco‐Friendly Bioadsorbents: A Review

open access: yesAsia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT The continuous increasing discharge of synthetic dyes into aquatic systems seems to be an important environmental and health risk due to their high toxicity and resistance to biodegradation. Among these dyes, methylene blue (MB) and Congo red (CR) are widely used in textile and industrial applications, necessitating sustainable and efficient ...
Avanish Kumar   +2 more
wiley   +1 more source

First case of <i>Aureobasidium pullulans</i> in a dog after sterilization surgery in Chile. [PDF]

open access: yesMed Mycol Case Rep
Dumont-Viollaz A   +5 more
europepmc   +1 more source

Aloe vera–Based Green Synthesis of Silver Nanoparticles With Characterization, Potent Antibacterial and Antioxidant Properties

open access: yesAsia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT Green synthesis has emerged as a suitable alternative to the traditional method for manufacturing nanoparticles (NPs) as it provides a safer, sustainable, healthy, and environmental path for the NPs synthesis. Silver nanoparticles (AgNPs) were prepared using a green method with locally sourced Aloe vera leaf extract.
Janaki Baral   +5 more
wiley   +1 more source

Computer vision species identification of lichens and bryophytes from biocrusts in Australian drylands

open access: yesApplications in Plant Sciences, EarlyView.
Abstract Premise Due to their small size and lack of easily visible macroscopic characters, the identification of cryptogam species has always been challenging. Here, the use of a machine learning computer vision method is explored for the identification of species of lichens and bryophytes from Australian biocrusts.
Callum Lawler   +3 more
wiley   +1 more source

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