Strong metal-support interaction (SMSI) in environmental catalysis: Mechanisms, application, regulation strategies, and breakthroughs

The strong metal-support interaction(SMSI)in supported catalysts plays a dominant role in catalytic degradation,upgrading,and remanufacturing of environmental pollutants.Previous studies have shown that SMSI is crucial in supported catalysts'activity and stability.However,for redox reactions catalyzed in environmental catalysis,the enhancement mechanism of SMSI-induced oxygen vacancy and electron transfer needs to be clarified.Additionally,the precise control of SMSI interface sites remains to be fully understood.Here we provide a systematic review of SMSI's catalytic mechanisms and control strategies in purifying gaseous pollutants,treating organic wastewater,and valorizing biomass solid waste.We explore the adsorption and activation mechanisms of SMSI in redox reactions by examining interfacial electron transfer,interfacial oxygen vacancy,and interfacial acidic sites.Furthermore,we develop a precise regulation strategy of SMSI from systematical perspectives of interface effect,crystal facet effect,size effect,guest ion doping,and modification effect.Importantly,we point out the drawbacks and breakthrough directions for SMSI regulation in environmental catalysis,including partial encapsulation strategy,size optimization strategy,interface oxygen vacancy strategy,and multi-component strategy.This review article provides the potential applications of SMSI and offers guidance for its controlled regulation in environmental catalysis.

Identify the contribution of vehicle non-exhaust emissions:a single particle aerosol mass spectrometer test case at typical road environment

A single particle aerosol mass spectrometer(SPAMS)was used to accurately quantify the contribution of vehicle non-exhaust emissions to particulate matter at typical road environment.The PM_(2.5),black carbon,meteorological parameters and traffic flow were recorded during the test period.The daily trend for traffic flow and speed on TEDA Street showed obvious“M”and“W”characteristics.6.3 million particles were captured via the SPAMS,including 1.3 million particles with positive and negative spectral map information.Heavy Metal,High molecular Organic Carbon,Organic Carbon,Mixed Carbon,Elemental Carbon,Rich Potassium,Levo-rotation Glucose,Rich Na,SiO_(3) and other categories were analyzed.The particle number concentration measured by SPAMS showed a good linear correlation with the mass concentrations of PM_(2.5) and BC,which indicates that the particulate matter captured by the SPAMS reflects the pollution level of fine particulate matter.EC,ECOC,OC,HM and crustal dust components were found to show high values from 7:00–9:00 AM,showing that these chemical components are directly or indirectly related to vehicle emissions.Based on the PMF model,7 major factors are resolved.The relative contributions of each factor were determined:vehicle exhaust emission(44.8%),coal-fired source(14.5%),biomass combustion(12.2%),crustal dust(9.4%),ship emission(9.0%),tires wear(6.6%)and brake pads wear(3.5%).The results show that the contribution of vehicle non-exhaust to particulate matter at roadside environment is approximately 10.1%.Vehicle non-exhaust emissions are the focus of future research in the vehicle pollutant emission control field.

Brake wear-derived particles:Single-particle mass spectral signatures and real-world emissions

Brake wear is an important but unregulated vehicle-related source of atmospheric particulate matter(PM).The single-particle spectral fingerprints of brake wear particles(BWPs)provide essential information for understanding their formation mechanism and atmospheric contributions.Herein,we obtained the single-particle mass spectra of BWPs by combining a brake dynamometer with an online single particle aerosol mass spectrometer and quantified real-world BWP emissions through a tunnel observation in Tianjin,China.The pure BWPs mainly include three distinct types of particles,namely,Bacontaining particles,mineral particles,and carbon-containing particles,accounting for 44.2%,43.4%,and 10.3%of the total BWP number concentration,respectively.The diversified mass spectra indicate complex BWP formation pathways,such as mechanical,phase transition,and chemical processes.Notably,the mass spectra of Ba-containing particles are unique,which allows them to serve as an excellent indicator for estimating ambient BWP concentrations.By evaluating this indicator,we find that approximately 4.0%of the PM in the tunnel could be attributable to brake wear;the real-world fleet-average emission factor of 0.28 mg km
1 veh
1 is consistent with the estimation obtained using the receptor model.The results presented herein can be used to inform assessments of the environmental and health impacts of BWPs to formulate effective emissions control policies.

Influence of Exposure Pathways on Tissue Distribution and Health Impact of Polycyclic Aromatic Hydrocarbon Derivatives

The oxygen(OPAHs),nitro(NPAHs),hydroxyl(OH-PAHs),and alkylated(APAHs)derivatives of polycyclic aromatic hydrocarbon(PAHs)are ubiquitous pollutants in the environment.The concentrations of NPAHs,OPAHs,OH-PAHs,and APAHs are lower than that of PAHs in the environment,but the carcinogenic abilities of the derivatives are usually 10 to 1,000-fold higher than that of parent PAHs.There are three main pathways for the exposure of polycyclic aromatic compounds to humans,including inhalation,direct contact,and ingestion.After exposure by inhalation,they are mainly distributed in the lungs,affecting lung function and causing inflammation,asthma,etc.Due to the digestive system’s strong capacity for metabolism,intake of PAHs and the derivatives is primarily distributed in the digestive system and metabolized there.And it may lead to dysplasia of these organs and even to cancer.The skin is the primary site of direct contact with PAH derivatives.PAH derivatives can enter the bloodstream through all three contact pathways,thereby accumulating in various organs.This study aimed to summarize the influence of exposure pathways on tissue distribution and the health impact of PAH derivatives to provide references for future research and evaluation on public health.

Elemental composition and risk assessment of heavy metals in the PM10 fractions of road dust and roadside soil

A total of 64 dust samples were analyzed to determine the size distribution and elemental composition of the PM10 fraction, including42 road dust(RD), 12 roadside soil(RSD), and 10 park road dust(PRD) samples. The mass of dust smaller than 20μm was dominated by particles sized 2.5-16 μm, which accounted for 85%, 88%, and 87% of the RD, PRD, and RSD, respectively. Additionally, crustal elements accounted for 30.14%, 36.35%, and 37.14% of the PMio fractions of the RD, RSD, and PRD, respectively. The most abundant trace elements in RD, RSD, and PRD were Zn, Mn, and Cu (range, 277 to 874 mg/kg). Moreover, the /geo values revealed all dusts were contaminated with Pb, Zn, Cu, Sb, Sn, and Cd. Health risk assessment showed that Mn, Ni, Cu, Zn, Cd, Sb, and Pb in the PM10 fraction of three types of dusts posed non-cancer risks to children but posed no non-cancer risk to adults. Additionally, As, Ni, and Cd posed no cancer risk to inhabitants.

Impacts of methanol fuel on vehicular emissions:A review

The transport sector is a significant energy consumer and a major contributor to urban air pollution.At present,the substitution of cleaner fuel is one feasible way to deal with the growing energy demand and environmental pollution.Methanol has been recognized as a good alternative to gasoline due to its good combustion performance.In the past decades,many studies have investigated exhaust emissions using methanol-gasoline blends.However,the conclusions derived from different studies vary significantly,and the explanations for the effects of methanol blending on exhaust emissions are also inconsistent.This review summarizes the characteristics of CO,HC,NO_(x),CO_(2),and particulate emissions from methanol-gasoline blended fuels and pure methanol fuel.CO,HC,CO_(2),particle mass(PM),and particle number(PN)emissions decrease when methanol-blended fuel is used in place of gasoline fuel.NO_(x) emission either decreases or increases depending on the test conditions,i.e.,methanol content.Furthermore,this review synthesizes the mechanisms by which methanol-blended fuel influences pollutant emissions.This review provides insight into the pollutant emissions from methanol-blended fuel,which will aid policymakers in making energy strategy decisions that take urban air pollution,climate change,and energy security into account.