Efficient degradation of cellulosic ethanol wastewater by perovskite activation of Sr element A-site doped lanthanide copper chalcogenide materials.

The degradation of cellulosic ethanol wastewater by peroxymonosulfate (PMS) is one of the important methods to solve the environmental problems caused by it. In order to improve the degradation efficiency of cellulosic ethanol wastewater, the design of more catalytically active and stable chalcogenide catalysts has become a problem that needs to be solved nowadays. The application of foreign cations to replace the A- or B-site to increase the oxygen vacancy of the chalcocite catalyst to improve the efficiency of chalcocite catalytic degradation of wastewater has received much attention. In this work, the perovskite material LaCuO3 was synthesized using a citric acid-sol-gel method, and the novel material La1-xSrxCuO3 was prepared by doping of Sr element at the A position. In order to prepare catalytic materials with better performance, this study carried out performance-optimized degradation experiments on the prepared materials and determined that the catalytic efficiency of La0.5Sr0.5CuO3 prepared under the conditions of the complexing agent dosage of 1:2, the gel temperature of 80 °C, and the calcination temperature of 700 °C was better than that of the catalytic materials prepared under other conditions. The prepared material has good recycling function; after four times recycling, the removal rate of pollutant COD is still more than 85%. This work provides a new synthesis method of perovskite material with good recycling function and high catalytic efficiency for the degradation technology of cellulosic ethanol wastewater.

Activated carbon fibers functionalized with superhydrophilic coated pDA/TiO2/SiO2 with photoluminescent self-cleaning properties for efficient oil-water separation.

The adhesion of high-viscosity oil contamination poses limitations on three-dimensional (3D) materials' practical use in treating oilfield-produced water (OPW). In this study, we developed a hybrid pDA/TiO2/SiO2 coating (PTS) on the surface of hydrophilic activated carbon (ACF1) through a combination of dopamine (DA) polymerization, ethyl orthosilicate (TEOS) hydrolysis, and the condensation of TiO2 nanoparticles (NPs) with SiO2 NPs. This coating was designed for gravity-based oil-water separation. The inherent porosity and generous pore size of ACF1-PTS conferred it an ultra-high permeation flux (pure water flux of 3.72 × 105 L∙m-2∙h-1), allowing it to effectively separate simulated oil-water mixtures and oil-water emulsions while maintaining exceptional permeation flux and oil rejection efficiency. When compared to cleaning methods involving ethanol aqueous solutions and NaClO, ultraviolet (UV) illumination cleaning proved superior, enabling oil-contaminated ACF1-PTS to exhibit remarkable flux recovery efficiency and oil-removal capabilities during cyclic separation of actual OPW. Furthermore, the ACF1-PTS material demonstrated impressive stability and durability when exposed to acidic environments (acid, alkali, and salt), robust hydraulic washout conditions, and 25-cycle tests. This study offers valuable insights and research avenues for the development of highly efficient and environmentally friendly 3D oil-water separation materials for the actual treatment of OPW.

Exploration of the Catalytic Cycle Dynamics of Vigna Radiata H+-Translocating Pyrophosphatases Through Hydrogen-Deuterium Exchange Mass Spectrometry.

Vigna radiata H+-translocating pyrophosphatases (VrH+-PPases, EC 3.6.1.1) are present in various endomembranes of plants, bacteria, archaea, and certain protozoa. They transport H+ into the lumen by hydrolyzing pyrophosphate, which is a by-product of many essential anabolic reactions. Although the crystal structure of H+-PPases has been elucidated, the H+ translocation mechanism of H+-PPases in the solution state remains unclear. In this study, we used hydrogen-deuterium exchange (HDX) coupled with mass spectrometry (MS) to investigate the dynamics of H+-PPases between the previously proposed R state (resting state, Apo form), I state (intermediate state, bound to a substrate analog), and T state (transient state, bound to inorganic phosphate). When hydrogen was replaced by proteins in deuterium oxide solution, the backbone hydrogen atoms, which were exchanged with deuterium, were identified through MS. Accordingly, we used deuterium uptake to examine the structural dynamics and conformational changes of H+-PPases in solution. In the highly conserved substrate binding and proton exit regions, HDX-MS revealed the existence of a compact conformation with deuterium exchange when H+-PPases were bound with a substrate analog and product. Thus, a novel working model was developed to elucidate the in situ catalytic mechanism of pyrophosphate hydrolysis and proton transport. In this model, a proton is released in the I state, and the TM5 inner wall serves as a proton piston.

Ternary Heterojunction Graphitic Carbon Nitride/Cupric Sulfide/Titanium Dioxide Photoelectrochemical Sensor for Sesamol Quantification and Antioxidant Synergism.

Sesamol (SM) is a potent natural antioxidant that can quench free radicals and modulate the cholinergic system in the brain, thereby ameliorating memory and cognitive impairment in Alzheimer's disease patients. Moreover, the total antioxidant capacity can be amplified by synergistic interactions between different antioxidants. Here, we constructed a ternary heterojunction graphitic carbon nitride/cupric sulfide/titanium dioxide (g-C3N4/CuS/TiO2) photoelectrochemical (PEC) sensor for the quantification of SM and its synergistic interactions with other antioxidants. Crucially, the Schottky barrier in ternary semiconductors considerably enhances electron transfer. The PEC sensor showed a wide linear range for SM detection, ranging from 2 to 1277 µmol L-1, and had a limit of detection of 1.8 µmol L-1. Remarkably, this sensing platform could evaluate the synergism between SM and five typical lipid-soluble antioxidants: tert-butyl hydroquinone, vitamin E, butyl hydroxyanisole, propyl gallate, and butylated hydroxytoluene. Owing to its low redox potential, SM could reduce antioxidant radicals and promote their regeneration, which increased the overall antioxidant performance. The g-C3N4/CuS/TiO2 PEC sensor exhibited high sensitivity, satisfactory selectivity, and stability, and was successfully applied for SM determination in both soybean and peanut oils. The findings of this study provide guidance for the development of nutritional foods, nutrition analysis, and the treatment of diseases caused by free radicals.

Intra-block pyramid cross-scale network for thermal radiation effect correction of uncooled infrared images.

Thermal radiation effects can greatly degrade the image quality of uncooled infrared focal plane array detection systems. In this paper, we propose a thermal radiation effect correction network based on intra-block pyramid cross-scale feature extraction and fusion. First, an intra-block pyramid residual attention module is introduced to obtain fine-grained features from long-range IR images by extracting cross-scale local features within the residual block. Second, we propose a cross-scale gated fusion module to efficiently integrate the shallow and abstract features at multiple scales of the encoder and decoder through gated linear units. Finally, to ensure accurate correction of thermal radiation effects, we add double-loss constraints in the spatial-frequency domain and construct a single-input, multi-output network with multiple supervised constraints. The experimental results demonstrate that our proposed method outperforms state-of-the-art correction methods in terms of both visual quality and quantitative evaluation metrics.

Breast cancer pre-clinical screening using infrared thermography and artificial intelligence: a prospective, multicentre, diagnostic accuracy cohort study.

BACKGROUND: Given the limited access to breast cancer (BC) screening, the authors developed and validated a mobile phone-artificial intelligence-based infrared thermography (AI-IRT) system for BC screening. MATERIALS AND METHODS: This large prospective clinical trial assessed the diagnostic performance of the AI-IRT system. The authors constructed two datasets and two models, performed internal and external validation, and compared the diagnostic accuracy of the AI models and clinicians. Dataset A included 2100 patients recruited from 19 medical centres in nine regions of China. Dataset B was used for independent external validation and included 102 patients recruited from Langfang People's Hospital. RESULTS: The area under the receiver operating characteristic curve of the binary model for identifying low-risk and intermediate/high-risk patients was 0.9487 (95% CI: 0.9231-0.9744) internally and 0.9120 (95% CI: 0.8460-0.9790) externally. The accuracy of the binary model was higher than that of human readers (0.8627 vs. 0.8088, respectively). In addition, the binary model was better than the multinomial model and used different diagnostic thresholds based on BC risk to achieve specific goals. CONCLUSIONS: The accuracy of AI-IRT was high across populations with different demographic characteristics and less reliant on manual interpretations, demonstrating that this model can improve pre-clinical screening and increase screening rates.

A review of the development in shale oil and gas wastewater desalination.

The development of the shale oil and gas extraction industry has heightened concerns about shale oil and gas wastewater (SOGW). This review comprehensively summarizes, analyzes, and evaluates multiple issues in SOGW desalination. The detailed analysis of SOGW water quality and various disposal strategies with different water quality standards reveals the water quality characteristics and disposal status of SOGW, clarifying the necessity of desalination for the rational management of SOGW. Subsequently, potential and implemented technologies for SOGW desalination are reviewed, mainly including membrane-based, thermal-based, and adsorption-based desalination technologies, as well as bioelectrochemical desalination systems, and the research progress of these technologies in desalinating SOGW are highlighted. In addition, various pretreatment methods for SOGW desalination are comprehensively reviewed, and the synergistic effects on SOGW desalination that can be achieved by combining different desalination technologies are summarized. Renewable energy sources and waste heat are also discussed, which can be used to replace traditional fossil energy to drive SOGW desalination and reduce the negative impact of shale oil and gas exploitation on the environment. Moreover, real project cases for SOGW desalination are presented, and the full-scale or pilot-scale on-site treatment devices for SOGW desalination are summarized. In order to compare different desalination processes clearly, operational parameters and performance data of varying desalination processes, including feed salinity, water flux, salt removal rate, water recovery, energy consumption, and cost, are collected and analyzed, and the applicability of different desalination technologies in desalinating SOGW is qualitatively evaluated. Finally, the recovery of valuable inorganic resources in SOGW is discussed, which is a meaningful research direction for SOGW desalination. At present, the development of SOGW desalination has not reached a satisfactory level, and investing enough energy in SOGW desalination in the future is still necessary to achieve the optimal management of SOGW.

Structural Properties of CXCL4L1 and Its Recognition of the CXCR3 N-Terminus.

Chemokine CXCL4L1, a homologue of CXCL4, is a more potent antiangiogenic ligand. Its structural property is correlated with the downstream receptor binding. The two chemokines execute their functions by binding the receptors of CXCR3A and CXCR3B. The receptors differ by an extra 51-residue extension in the CXCR3B N-terminus. To understand the binding specificity, a GB1 protein scaffold was used to carry different CXCR3 extracellular elements, and artificial CXCL4 and CXCL4L1 monomers were engineered for the binding assay. We first characterized the molten globule property of CXCL4L1. The structural property causes the CXCL4L1 tetramer to dissociate into monomers in low concentrations, but native CXCL4 adopts a stable tetramer structure in solution. In the titration experiments, the combination of the CXCR3A N-terminus and receptor extracellular loop 2 provided moderate and comparable binding affinities to CXCL4 and CXCL4L1, while sulfation on the CXCR3A N-terminal tyrosine residues provided binding specificity. However, the CXCR3B N-terminal extension did not show significant enhancement in the binding of CXCL4 or CXCL4L1. This result indicates that the tendency to form a chemokine monomer and the binding affinity together contribute the high antiangiogenic activity of CXCL4L1.

A label-free PEC aptasensor platform based on g-C3N4/BiVO4 heterojunction for tetracycline detection in food analysis.

A simple low-cost label-free photoelectrochemical (PEC) biosensing platform based on red blood cell shaped BiVO4 modified g-C3N4 was designed for tetracycline detection under room temperature. The prepared g-C3N4/BiVO4 heterojunction not only demonstrated a high surface area, excellent physicochemical stability and favorable PEC activity, but also can be employed as nanostructure support for aptamers to construct a visible-light-driven PEC aptasensor due to rich π-π accumulation sites. More importantly, the proposed PEC aptasensor showed a favorable linear toward tetracycline in the range from 5 × 10-9 to 2 × 10-7 M with a detection limit of 1.6 nM, which well covered the Food Standards Testing requirements. Practical food sample analysis further revealed the accuracy and feasibility of the g-C3N4/BiVO4 heterostructure based PEC platform. It is expected that such a label-free and cost-effective PEC strategy should act as a promising candidate for tetracycline determination in food quality control and supervision.

Snake Venomics and Antivenomics of Cape Cobra (Naja nivea) from South Africa: Insights into Venom Toxicity and Cross-Neutralization Activity.

Naja nivea (Cape Cobra) is endemic to southern Africa. Envenoming by N. nivea is neurotoxic, resulting in fatal paralysis. Its venom composition, however, has not been studied in depth, and specific antivenoms against it remain limited in supply. Applying a protein decomplexation approach, this study unveiled the venom proteome of N. nivea from South Africa. The major components in the venom are cytotoxins/cardiotoxins (~75.6% of total venom proteins) and alpha-neurotoxins (~7.4%), which belong to the three-finger toxin family. Intriguingly, phospholipase A2 (PLA2) was undetected-this is a unique venom phenotype increasingly recognized in the African cobras of the Uraeus subgenus. The work further showed that VINS African Polyvalent Antivenom (VAPAV) exhibited cross-reactivity toward the venom and immunorecognized its toxin fractions. In mice, VAPAV was moderately efficacious in cross-neutralizing the venom lethality with a potency of 0.51 mg/mL (amount of venom completely neutralized per milliliter of antivenom). In the challenge-rescue model, VAPAV prevented death in 75% of experimentally envenomed mice, with slow recovery from neurotoxicity up to 24 h. The finding suggests the potential para-specific utility of VAPAV for N. nivea envenoming, although a higher dose or repeated administration of the antivenom may be required to fully reverse the neurotoxic effect of the venom.

Upconversion NaYF4:Yb/Er-TiO2-Ti3C2 Heterostructure-Based Near-Infrared Light-Driven Photoelectrochemical Biosensor for Highly Sensitive and Selective d-Serine Detection.

A near-infrared (NIR) light-driven NaYF4:Yb/Er-TiO2-Ti3C2 (NYF-TiO2-Ti3C2) heterostructure-based photoelectrochemical (PEC) biosensing platform was constructed for highly sensitive d-serine (d-ser) detection. Accurate d-ser detection depends on the model biocatalyst, d-amino acid oxidase (DAAO), which converts d-ser into hydroxypyruvate and an equimolar concentration of hydrogen peroxide (H2O2) via an enzymatic reaction. The TiO2-Ti3C2 semiconductor and NaYF4:Yb/Er optical transducer formed a Schottky junction that provided an irreversible channel for electron transfer. Infrared light was converted into absorbable multiemission light, thereby effectively increasing light absorption. Simultaneously, the generated H2O2 rapidly scavenged photogenerated holes to separate electron-hole pairs, which amplified the photocurrent signal. Under optimal conditions, the NIR light-driven PEC biosensor exhibited an excellent PEC performance for d-ser detection, with a wide linear range of 2-1650 µmol L-1 and detection limit as low as 0.286 µmol L-1. Importantly, high detection reproducibility and accuracy were achieved using this strategy for analyzing human serum and rat cerebrospinal fluid (CSF) specimens. The admirable applicability of the NYF-TiO2-Ti3C2-based PEC biosensor for detecting d-ser may lead to further opportunities for detecting other disease-related biomarkers.

Transcriptome Analyses Indicate Significant Association of Increased Non-Additive and Allele-Specific Gene Expression with Hybrid Weakness in Rice (Oryza sativa L.).

The heterosis in hybrid rice is highly affected by the environment and hybrid weakness occurs frequently depending on the genotypes of the hybrid and its parents. Hybrid weakness was also observed in our field experiments on nine rice hybrids produced by 3 × 3 incomplete diallel crosses. Among the nine hybrids, five displayed mid-parent heterosis (MPH) for grain yield per plant, while four showed mid-parent hybrid weakness (MPHW). A sequencing analysis of transcriptomes in panicles at the seed-filling stage revealed a significant association between enhanced non-additive gene expression (NAE) and allele-specific gene expression (ASE) with hybrid weakness. High proportions of ASE genes, with most being of mono-allele expression, were detected in the four MPHW hybrids, ranging from 22.65% to 45.97%; whereas only 4.80% to 5.69% of ASE genes were found in the five MPH hybrids. Moreover, an independence test indicated that the enhancements of NAE and ASE in the MPHW hybrids were significantly correlated. Based on the results of our study, we speculated that an unfavorable environment might cause hybrid weakness by enhancing ASE and NAE at the transcriptome level.

Efficient degradation of tetracycline under the conditions of high-salt and coexisting substances by magnetic CuFe2O4/g-C3N4 photo-Fenton process.

For the effective degradation of tetracycline (TC), a facilely prepared magnetic CuFe2O4/g-C3N4 (CFO/g) photocatalyst was successfully constructed. The structure, morphology, composition, optical, and magnetic properties of CFO/g were characterized. CFO/g demonstrated excellent photo-Fenton performance of TC in the presence of high-Cl-, NO3-, HCO3-, HPO42-, SO42- and humic acid. Ten cycles of experiments with the removal rate of TC only decreasing by 2.8% confirmed the stability and high activity of CFO/g. The dissolved concentrations of Fe and Cu ions were 0.013 and 0.009 mg L-1, respectively. Its excellent magnetic properties made CFO/g easier to be recycled than traditional catalysts. ·OH and O2·- were proposed to be the main active species in the photo-Fenton system. The CFO/g heterojunction enhanced the separation of photogenerated electron-hole pairs and visible light absorption range. Furthermore, the identification of intermediates suggested that TC degradation was classified into two pathways, and the most critical and rapid degradation was achieved within the first 30 min. The TC and its intermediates did not significantly inhibit the growth activity of Escherichia coli. This research provided a promising application of magnetic photocatalysts in wastewater treatment of pharmaceuticals and personal care products.

Composite hydrolytic acidification - aerobic MBBR process for treating traditional Chinese medicine wastewater.

Traditional Chinese medicine (TCM) wastewater is characterized by high organic content, unstable water quality and quantity and low biodegradability. In this paper, the hydrolytic acidification reactor-aerobic moving bed biofilm (MBBR) process was used to degrade TCM wastewater. Besides, a small pilot study was conducted. The appropriate operating parameters: hydraulic retention time (HRT) of the hydrolytic reactor was 16 h, HRT of MBBR was 30 h, dissolved oxygen of MBBR was 6 mg/L, sludge return ratio of MBBR was 100%. The hydrolytic reactor was started for 25 days. MBBR was run in series with the hydrolytic reactor after 24 days of separate operation. The start-up of the composite reactor was completed after another 26 days. The average removal efficiencies of chemical oxygen demand and ammonia nitrogen were 92% and 70%. The hydrolytic reactor was effective in decomposing macromolecules and MBBR had a strong ability to degrade pollutants through the excitation-emission-matrix spectra. The evolution pattern of the dominant bacterial genera and the surface morphology of sludge were studied by scanning electron microscopy and high-throughput sequencing analysis. It could be seen that the surface morphology of the biological filler was suitable for the growth and reproduction of microorganisms.

Optimization of BSA-seq experiment for QTL mapping.

Deep sequencing-based bulked segregant analysis (BSA-seq) has become a popular approach for quantitative trait loci (QTL) mapping in recent years. Effective statistical methods for BSA-seq have been developed, but how to design a suitable experiment for BSA-seq remains unclear. In this paper, we show in theory how the major experimental factors (including population size, pool proportion, pool balance, and generation) and the intrinsic factors of a QTL (including heritability and degree of dominance) affect the power of QTL detection and the precision of QTL mapping in BSA-seq. Increasing population size can improve the power and precision, depending on the QTL heritability. The best proportion of each pool in the population is around 0.25. So, 0.25 is generally applicable in BSA-seq. Small pool proportion can greatly reduce the power and precision. Imbalance of pool pair in size also causes decrease of the power and precision. Additive effect is more important than dominance effect for QTL mapping. Increasing the generation of filial population produced by selfing can significantly increase the power and precision, especially from F2 to F3. These findings enable researchers to optimize the experimental design for BSA-seq. A web-based program named BSA-seq Design Tool is available at http://124.71.74.135/BSA-seqDesignTool/ and https://github.com/huanglikun/BSA-seqDesignTool.

Preparation of sludge-based materials and their environmentally friendly applications in wastewater treatment by heterogeneous oxidation technology.

The sludge resource utilization and the high value-added development are environmentally friendly means for sludge treatment. With its rich organic substances and metals content, sludge can replace activated carbon and become a widely used carbon-based material, such as sludge-based activated carbon (SBAC). Meanwhile, as a heterogeneous catalyst, sludge-based catalyst (SBC) can solve the requirements of traditional Fenton catalysts for pH, metal ion leaching, and catalyst recycling. In this paper, combining the properties of SBAC/SBCs, the characteristics of the three methods of activation, support, and hydrothermal preparation of SBAC/SBCs are reviewed. In general, it is necessary to select an appropriate preparation method based on pollutants and environmental treatment goals. Furthermore, compared with other catalysts, SBC heterogeneous oxidation has obvious advantages in refractory organic pollutants. And the reaction mechanism usually involves SO4·-, ·OH, O2·-, and 1O2 processes. Finally, some possible directions for future research involving environmentally friendly SBAC/SBCs are proposed.

COVID-ONE-hi: The One-stop Database for COVID-19-specific Humoral Immunity and Clinical Parameters.

Coronavirus disease 2019 (COVID-19), which is caused by SARS-CoV-2, varies with regard to symptoms and mortality rates among populations. Humoral immunity plays critical roles in SARS-CoV-2 infection and recovery from COVID-19. However, differences in immune responses and clinical features among COVID-19 patients remain largely unknown. Here, we report a database for COVID-19-specific IgG/IgM immune responses and clinical parameters (named COVID-ONE-hi). COVID-ONE-hi is based on the data that contain the IgG/IgM responses to 24 full-length/truncated proteins corresponding to 20 of 28 known SARS-CoV-2 proteins and 199 spike protein peptides against 2360 serum samples collected from 783 COVID-19 patients. In addition, 96 clinical parameters for the 2360 serum samples and basic information for the 783 patients are integrated into the database. Furthermore, COVID-ONE-hi provides a dashboard for defining samples and a one-click analysis pipeline for a single group or paired groups. A set of samples of interest is easily defined by adjusting the scale bars of a variety of parameters. After the "START" button is clicked, one can readily obtain a comprehensive analysis report for further interpretation. COVID-ONE-hi is freely available at www.COVID-ONE.cn.

Study on influence factors of treating landfill leachate by ultraviolet-activated persulfate system.

In recent years, there have been many studies on treating pollutants with ultraviolet-activated persulfate (UV/PDS) system. In this paper, the biochemical treatment effluent of landfill leachate from garbage incineration power plant was treated. The effect of treating landfill leachate with UV/PDS system in the low-pressure external device and medium-pressure built-in device was compared; it was concluded that in the latter device, the photon quantity increased, the energy loss decreased, and the probability of generating free radicals in the reaction between photons and S2O82- increased, which result the treatment efficiency of this system was higher. In addition, the leachate was treated by combining the activation method of spinel composite (CuO-MgAl2O4) with UV activation method, called CuO-MgAl2O4/UV/PDS. The experimental data showed that the processing effect of segmented dosing PDS process was higher than that of one-time addition process. Under the same conditions, the removal rates of CODcr were 83.10% and 19.76%, respectively. One of the reasons for this result may be that excessive PDS in CuO-MgAl2O4/PDS system of the latter process inhibited the treatment effect. This paper analyzes the efficiency of UV/PDS system, as well as CuO-MgAl2O4/UV/PDS combination process which were used to treat landfill leachate under different conditions; the results showed that the medium-pressure built-in device and segmented-dosing process could get better treatment effect.

Pollution characteristics and toxic effects of PM1.0 and PM2.5 in Harbin, China.

In 2019, PM2.5 and PM1.0 samples were collected in Harbin City, Heilongjiang Province, China, to research their mass concentration, number concentration, metal composition analysis, impact on lung injury of mice, and metal source analysis. The results showed that the mass concentration of PM2.5 and PM1.0 in the whole year of 2019 showed a trend of high in winter and low in summer. The mass concentration of PM1.0 was 62~85% of the total mass concentration of PM2.5, and the changing trend of PM1.0 number concentration was lower than that of the two sides. Its size was negatively correlated with the temperature and no significant correlation with the relative humidity. The analysis of metal composition found that the emission of coal and motor vehicle exhaust increased the concentration of Zn, Pb, As, and Cu in PM1.0. And setting off fireworks and firecrackers during the Spring Festival caused the concentration of Ti, Al, and Mg to increase. The burning of biomass also made the K concentration higher in autumn and winter than the other two-quarters. PMF analysis showed that coal combustion, soil dust and vehicle exhaust were the main factors of PM1.0 pollution in winter. Electron microscope scanning showed that PM1.0 particle morphology in winter was mainly flocculent aggregated particles generated by coal combustion. In the study of the effects of atmospheric particulate matter on lung injury in mice, it was found that lactate dehydrogenase (LDH), acid phosphatase (ACP),alkaline phosphatase (AKP), and albumin (ALB) in lung tissue cells of mice exposed to air particulates increased, indicating that PM2.5 and PM1.0 had toxic effects on lung tissue cells of mice. The level of serum malondialdehyde (MDA), nitric oxide (NO), and nitric oxide synthase (NOS) in lung lavage fluid increased, and the activity of superoxide dismutase (SOD) decreased, which indicated that both PM2.5 and PM1.0 could cause oxidative damage in the body, and with the increase of the concentration of PM2.5 and PM1.0 in the air particles, the cytotoxic effect on the lung tissue of mice was enhanced and the degree of oxidative damage was increased.