Collaborative prediction and intelligent control of multiple pollutants emission from a large-scale waste incinerator.

Owing to the complexity of municipal solid waste (MSW), flue gas composition and operating conditions, it is challenging to predict pollutant emissions accurately and control them intelligently in the MSW incineration process. This study uses a 750 t/d large-scale grate-type MSW incinerator as the research object. Based on a long short-term memory (LSTM) model, collaborative prediction (co-prediction) of multiple pollutants (HCl, SO, NO, and PM) emissions from MSW incinerator flue gas was achieved.

Dioxin emission prediction from a full-scale municipal solid waste incinerator: Deep learning model in time-series input.

The immeasurability of real-time dioxin emissions is the principal limitation to controlling and reducing dioxin emissions in municipal solid waste incineration (MSWI). Existing methods for dioxin emissions prediction are based on machine learning with inadequate dioxin datasets. In this study, the deep learning models are trained through larger online dioxin emissions data from a waste incinerator to predict real-time dioxin emissions.

Cellulose-Based Photothermal Coating: A Sustainable Solution for Seed Protection and Long-Term Grain Storage.

High-output modern agriculture based on synthetic chemicals (biocides, pesticides, and fertilizers) feeds the growing global population. To completely abandon the use of pesticides and fertilizers will undoubtedly cause a severe food crisis worldwide, and sustainable alternative solutions are urgently demanded to stop biocides and fertilizers overuse. Herein, a versatile and green strategy is proposed for seed protection and long-term storage of grains using a cellulose-based photothermal coating (PDA NPs@Cell-N) that consists of photothermal polydopamine nanoparticles (PDA NPs) and a positive-charged cellulose derivative (Cell-N) to eradicate seed-borne bacteria and fungi simply under infrared irradiation.

Cellulose-Based Cryogel Microspheres with Nanoporous and Controllable Wrinkled Morphologies for Rapid Hemostasis.

First-aid hemostatic agents for acute bleeding can save lives in emergency situations. However, rapid hemostasis remains challenging when uncontrolled hemorrhage occurs on lethal noncompressible and irregular wounds. Herein, cellulose-based cryogel microspheres with deliberately customized micromorphologies for ultrafast water transportation and diffusion, including the shark skin riblet-inspired wrinkled surface with low fluid drag and the hydrophilic nanoporous 3D networks, are developed to deal with the acute noncompressible bleeding within seconds.