查看更多>>摘要：Facile and ultrasensitive detection of Pb2+in water for remote or resource-limited environments remains challenging.DNAzyme-based colorimetric nanobiosensors have been extensively studied to regulate the assembly of functionalized gold nanoparticles(AuNPs).However,these nanobiosensors have been criticized for their low sensitivity owing to the difficulty of dissociating DNAzyme embedded in AuNP aggregates.To address this issue,we rationally designed a DNAzyme by introducing an adenine-cytosine(A-C)mismatch to strengthen the disassembly of DNAzyme-linked nanostructures.As proof of concept,a"turn on"colorimetric nanobiosensor integrated with mismatched DNAzyme and functionalized AuNPs was first developed for Pb2+detection.Under the optimal detection conditions,the obtained typical calibration curve shows a detection limit of 8.6 nmol/L,with an approximately 11-fold sensitivity improvement in Pb2+detection compared with unmismatched DNAzyme,and a linear response range from 10 to 300 nmol/L.This nanobiosensor demonstrated robust selectivity and satisfactory recovery rates between 86.5％and 106.4％for Pb2+in spiked environmental water samples.Additionally,the detection process is user-friendly and can be completed within 30 min,requiring only a simple water sample addition step.Considering the extensive applications of DNAzyme in conjunction with nanoparticles,this study provides a valuable reference for designing other DNAzyme-powered nanoparticle assemblies in biosensing systems.
查看更多>>摘要：In recent years,concerns regarding the adverse effects of microplastics(MPs)on both the environment and human life have been increasingly raised.The presence of MPs in the aquatic environment and relevant treatment attracts growing attention worldwide.To address the rising concerns about public health and the regulatory pressure,numerous endeavors have been directed toward the development of effective analysis and treatment technologies for the removal of MPs from water.This review aimed to reveal recent research trends,perspectives and implications of MPs presented in the field of water treatment.First,a bibliometric analysis,including spatial and temporal trends assessment,publication and keywords analysis,was conducted to offer insights into its development history and research trends.Next,keyword analysis on recent literature was conducted to examine the temporal and categorical patterns of high-frequency research trends.Then,based on keywords analysis,the research progress and hotspots of MPs research within the domain of water treatment were discussed as four categories:sampling and detection methods for aquatic MPs,MPs as carriers of contaminants upon exposure to water environment,the ecological pollution by MPs,and technology development for MPs removal.Finally,challenges of MPs in water treatment and future implications to existing research field were also presented.
查看更多>>摘要：The boosting development of artificial intelligence(AI)is contributing to rapid exponential surge of computing power demand,which results in the concerns on the increased energy consumption and carbon emission.To highlight the environmental impact of AI,a quantified analysis on the carbon emission associated with AI systems was conducted in this study,with the hope of offering guidelines for police maker to setup emission limits or studies interested in this issue and beyond.It has been discovered that both industry and academia play pivotal roles in driving AI development forward.The carbon emissions from 79 prominent Al systems released between 2020 and 2024 were quantified.The projected total carbon footprint from the AI systems in the top 20 of carbon emissions could reach up to 102.6 Mt of CO2 equivalent per year.This could potentially have a substantial impact on the environmental market,exceeding$10 billion annually,especially considering potential carbon penalties in the near future.Hence,it is appealed to take proactive measures to develop quantitative analysis methodologies and establish appropriate standards for measuring carbon emissions associated with Al systems.Emission cap is also crucial to drive the industry to adopt more environmentally friendly practices and technologies,in order to build a more sustainable future for AI.
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