MXene Key Composites:A New Arena for Gas Sensors

With the development of science and technology,the scale of industrial production continues to grow,and the types and quantities of gas raw materials used in industrial production and produced during the production process are also constantly increasing.These gases include flammable and explosive gases,and even contain toxic gases.Therefore,it is very important and necessary for gas sensors to detect and monitor these gases quickly and accurately.In recent years,a new two-dimensional material called MXene has attracted widespread attention in various applications.Their abundant surface functional groups and sites,excellent current conductivity,tunable surface chemistry,and outstanding stability make them promising for gas sensor applications.Since the birth of MXene materials,researchers have utilized the efficient and convenient solution etching preparation,high flexibility,and easily functionalize MXene with other materials to pre-pare composites for gas sensing.This has opened a new chapter in high-performance gas sensing materials and provided a new approach for advanced sensor research.However,previous reviews on MXene-based composite materials in gas sensing only focused on the performance of gas sensing,without systematically explaining the gas sensing mechanisms generated by different gases,as well as summarizing and predicting the advantages and disadvantages of MXene-based composite materials.This article reviews the latest progress in the application of MXene-based composite materials in gas sensing.Firstly,a brief summary was given of the commonly used methods for preparing gas sens-ing device structures,followed by an introduction to the key attributes of MXene related to gas sensing performance.This article focuses on the performance of MXene-based composite materials used for gas sensing,such as MXene/graphene,MXene/Metal oxide,MXene/Transition metal sulfides(TMDs),MXene/Metal-organic framework(MOF),MXene/Polymer.It summarizes the advantages and disadvantages of MXene com-posite materials with different composites and discusses the possible gas sensing mechanisms of MXene-based composite materials for different gases.Finally,future directions and inroads of MXenes-based composites in gas sensing are presented and discussed.

A novel“Snowflake”--rGO-CuO for ultrasonic degradation of rhodamine and methyl orange

Graphene-doped CuO(rGO-CuO)nanocomposites with flower shapes were prepared by an improved solvothermal method.The samples were characterized by X-ray diffraction,X-ray photoelectron spectroscopy and UV–visible spectroscopy.The active species in the degradation reaction of rGO-CuO composites under ultrasonic irradiation were detected by electron paramagnetic resonance.On the basis of comparative experiments,the photodegradation mechanisms of two typical dyes,Rhodamine B(Rh B)and methyl orange(MO),were proposed.The results demonstrated that the doped CuO could improve the degradation efficiency.The catalytic degradation efficiency of rGO-CuO(2:1)to rhodamine B(RhB)and methyl orange(MO)reached 90%and 87%respectively,which were 2.1 times and 4.4 times of the reduced graphene oxide.Through the first-principles and other theories,we give the reasons for the enhanced catalytic performance of rGO-CuO:combined with internal and external factors,rGO-CuO under ultrasound could produce more hole and active sites that could interact with the OH·in pollutant molecules to achieve degradation.The rGO-CuO nanocomposite has a simple preparation process and low price,and has a high efficiency of degrading water pollution products and no secondary pollution products.It has a low-cost and high-efficiency application prospect in water pollution industrial production and life.

A Rising 2D Star:Novel MBenes with Excellent Performance in Energy Conversion and Storage

As a flourishing member of the two-dimen-sional(2D)nanomaterial family,MXenes have shown great potential in various research areas.In recent years,the continued growth of interest in MXene derivatives,2D transition metal borides(MBenes),has contributed to the emergence of this 2D material as a latecomer.Due to the excellent electrical conductivity,mechanical properties and electrical properties,thus MBenes attract more researchers’interest.Extensive experimental and theoretical studies have shown that they have exciting energy conversion and elec-trochemical storage potential.However,a comprehensive and systematic review of MBenes applications has not been available so far.For this reason,we present a comprehen-sive summary of recent advances in MBenes research.We started by summarizing the latest fabrication routes and excellent properties of MBenes.The focus will then turn to their exciting potential for energy storage and conversion.Finally,a brief summary of the challenges and opportunities for MBenes in future practical applications is presented.

MXene Ti_(3)C_(2) decorated g-C_(3)N_(4)/ZnO photocatalysts with improved photocatalytic performance for CO_(2) reduction

Photocatalytic reduction of CO_(2) is considered as a kind of promising technologies for solving the greenhouse effect.Herein,a novel hybrid structure of g-C_(3)N_(4)/ZnO/Ti_(3)C_(2) photocatalysts was designed and fabricated to investigate their abilities for CO_(2) reduction.As demonstration,heterojunction of g-C_(3)N_(4)/ZnO can improve photogenerated carriers’separation,the addition of Ti_(3)C_(2) fragments can further facilitate the photocatalytic performance from CO_(2) to CO.Hence,g-C_(3)N_(4)/ZnO/Ti_(3)C_(2) has efficiently increased CO production by 8 and 12 times than pristine g-C_(3)N_(4) and ZnO,respectively.Which is ascribed to the photogenerated charge migration promoted by metallic Ti_(3)C_(2).This work provides a guideline for designing efficient hybrid catalysts on other applications in the renewable energy fields.

Chemical diversity of scleractinian corals revealed by untargeted metabolomics and molecular networking

The chemical diversity of scleractinian corals is closely related to their physiological,ecological,and evolutionary status,and can be influenced by both genetic background and environmental variables.To investigate intraspecific variation in the metabolites of these corals,the metabolomes of four species(Pocillopora meandrina,Seriatopora hystrix,Acropora formosa,and Fungia fungites)from the South China Sea were analyzed using untargeted mass spectrometry-based metabolomics.The results showed that a variety of metabolites,including amino acids,peptides,lipids,and other small molecules,were differentially distributed among the four species,leading to their significant separation in principal component analysis and hierarchical clustering plots.The higher content of storage lipids in branching corals(P.meandrina,S.hystrix,and A.formosa)compared to the solitary coral(F.fungites)may be due to the high densities of zooxanthellae in their tissues.The high content of aromatic amino acids in P.meandrina may help the coral protect against ultraviolet damage and promote growth in shallow seawater,while nitrogen-rich compounds may enable S.hystrix to survive in various challenging environments.The metabolites enriched in F.fungites,including amino acids,dipeptides,phospholipids,and other small molecules,may be related to the composition of the coral's mucus and its life-history,such as its ability to move freely and live solitarily.Studying the chemical diversity of scleractinian corals not only provides insight into their environmental adaptation,but also holds potential for the chemotaxonomy of corals and the discovery of novel bioactive natural products.

Clinical characteristics and clinicopathological correlations of bilateral breast cancer in China:A multicenter study from Chinese Society of Breast Surgery(CSBrS-006)

Objective:To investigate the clinical characteristics and clinicopathological correlations of bilateral breast cancer(BBC)in China.Methods:Data of 440 patients diagnosed with BBC in 2018 were collected from 33 centers of the Chinese Society of Breast Surgery.Demographic characteristics,bilateral tumor characteristics,and comprehensive treatment data were obtained.Correlations between the clinicopathological characteristics of bilateral tumors were analyzed.Results:The proportion of BBC was 0.22%-3.08%.A total of 33(7.5%)patients had a family history of malignant tumors,304(69.1%)patients had synchronous BBC.Only 1(0.2%)patient was male.More than half of all patients received concurrent or asynchronous endocrine/chemotherapy,32.5%of all human epidermal growth factor receptor 2(HER2)-positive patients received HER2-targeted therapy,and approximately 21.6%of all patients received radiotherapy.The most common pathological cancer type was invasive ductal cancer(>60%).Approximately 70%of all patients had bilateral hormone receptor(HR)-positive tumors and presented with a single breast mass.Significant correlations were found with pathological type,histological grade,locations of tumor,molecular subtype,Ki-67 index,tumor site and size of bilateral tumors.Results of the subgroup analysis showed more clinicopathological characteristics when synchronous BBC was compared with metachronous BBC.Conclusions:In China,the clinicopathological characteristics of bilateral tumors showed significant correlations,and more significant clinicopathological correlations were observed when synchronous BBC was compared with metachronous BBC.

A Novel Magnetic Carbon Based Catalyst Synthesized from Reed Straw and Electric Furnace Dust for Biodiesel Production

In the era of serious greenhouse gas emission and energy shortage,it is necessary to use solid waste to prepare new renewable materials.In this work,the potential application of reed straw and electric furnace dust was explored.Firstly,magnetic carbon carrier(EFD&C)was prepared by high temperature calcination,and then magnetic carbon catalyst(SM@EFD&C)was prepared by activation of sodium methoxide.The catalyst was used to prepare biodiesel by transesterification reaction to test its activity and stability.Reed biochar,EFD&C and SM@EFD&C were detected by Diffraction of X-rays(XRD),Fourier transform infrared(FT-IR),Inductively coupled plasma(ICP),Scanning electron microscope(SEM),Transmission electron microscope(TEM),Brunauer-Emmett-Teller(BET),Vibrating sample magnetometer(VSM),Temperature programmed desorption of CO_(2)(CO_(2)-TPD)and Thermogravimetric analysis(TG-DTG).The results showed that SM@EFD&C catalyst had some characteristics including porous structure,easy adsorption and better magnetism.Under the reaction conditions of 65℃for 2 h with 6 wt%catalyst and methanol/oil molar ratio of 15:1,the biodiesel yields from reed biochar and EFD&C were only 4.88 wt%and 0.03 wt%,respectively,while the yield from SM@EFD&C catalyst reached 93.14 wt%(89.84 wt%after 7 cycles)under the same conditions,which proved that it had good catalytic activity and stability when used in biodiesel production.This study is of great significance of carbon dioxide emission reduction and environmental protection.

污水初始排放权定价文献综述

本文针对污染初始排放权定价这一研究课题,进行国内外文献梳理,并对国内外文献研究进行综述。得出如下结论:相关研究可选取污水初始排放权为研究对象,构建系统动力学污水初始排放权定价模型,不仅可以计算仿真未来排放权价格,而且能辨析出影响初始排放权价格的关键因素,给政府和企业提供一定的参考指导,有助于对排放权价格更好的把握,另一方面可以对不同行业不同地区的排放权定价。预期对污水初始排放权的系统理论体系进行扩充,同时为环保管理当局进行相关决策提供依据。

Designing high k dielectric films with LiPON-Al_(2)O_(3)hybrid structure by atomic layer deposition

A large amount of ultra-low-power consumption electronic devices are urgently needed in the new era of the internet of things,which demand relatively low frequency response.Here,atomic layer deposition has been utilized to fabricate the ion polarization dielectric of the Li PON-Al_(2)O_(3) hybrid structure.The Li PON thin film is periodically stacked in the Al_(2)O_(3) matrix.This hybrid structure presents a frequency-dependent dielectric constant,of which k is significantly higher than the aluminum oxide matrix from 1 k Hz to 200 k Hz in frequency.The increased dielectric constant is attributed to the lithium ions shifting locally upon the applied electrical field,which shows an additional polarization to the Al_(2)O_(3) matrix.This work provides a new strategy with promising potential to engineers for the dielectric constant of the gate oxide and sheds light on the application of electrolyte/dielectric hybrid structure in a variety of devices from capacitors to transistors.

Study on Dynamic Model of Initial Emission Rights for Medical Sewage System

The chemical oxygen demand (COD) is selected as the index in this paper. The system dynamics method is used to analyze the emission right price of medical sewage, the boundary of the emission right price system is determined, and the system dynamics model of the initial emission right of medical sewage is constructed, in which the system is divided into water resources subsystem, population subsystem, economic subsystem and social subsystem. It is expected to expand the theory of the system modeling of the initial discharge right of medical sewage, and to provide the basis for the relevant decision of the environmental management authorities.

双输入BCNN-ResNet模型对超声颈动脉斑块稳定性的分类诊断价值

目的构建颈动脉斑块超声图像分类数据集,构建一种甄别颈动脉斑块稳定性的双输入BCNN-ResNet深度学习模型,探讨双输入BCNN-ResNet模型对颈动脉斑块稳定性自动分类及诊断的效能。方法收集2021年1月至2023年3月在上海市第八人民医院、大连大学附属新华医院接受颈动脉超声检查者493例。由4名超声科医师观察颈动脉斑块声像图,经综合评判后选取颈动脉稳定斑块超声图像352张,易损斑块超声图像691张,构建共包含1043张颈动脉超声图像的数据集。使用ResNet-50模型作为基础模型,第一个ResNet-50网络输入斑块结构图像,提取结构特征;第二个ResNet-50网络输入裁剪后的斑块图像,获取像素特征,融合两组特征构建一个双输入BCNN模型。通过对图像进行分类监督学习的训练、内部验证和外部验证,比较新构建双输入BCNN-ResNet-50模型与ResNet-34、ResNet-50、ResNet-101、单输入BCNN-ResNet-34、双输入BCNN-ResNet-34、单输入BCNN-ResNet-50模型对颈动脉斑块稳定性的分类诊断效能。应用ROC曲线下面积、敏感度、特异度、准确性、真阳性、假阳性等指标评估模型的诊断效能。结果ROC曲线结果显示,双输入BCNN-ResNet-50模型对超声颈动脉斑块稳定性分类诊断的曲线下面积(AUC)为0.896。单输入BCNN-ResNet-50模型AUC为0.878,而ResNet-34、ResNet-50、ResNet-101、单输入BCNN-ResNet-34、双输入BCNN-ResNet-34模型AUC分别为0.857、0.860、0.859、0.864、0.868。双输入BCNN-ResNet-50模型对于颈动脉斑块的稳定性数据集分类及诊断的效能明显优于其他模型。结论双输入BCNN-ResNet模型可以自动甄别超声颈动脉斑块稳定性,此算法优于以往诊断模型,为后续临床颈动脉斑块稳定性筛查应用提供了技术参考。

Gender and Race Differences in Mental Health and Well-Being Among Older Americans During the COVID-19 Pandemic

The objectives of this study were to investigate(1) gender and race differences in mental health and psychological wellbeing among older adults during the COVID-19 pandemic and(2) whether there were significant interaction effects between gender and race. This study used the National Health and Aging Trends Study(NHATS) and COVID-19 public use data files. It focused on mental health and psychological well-being, including loneliness, no time to yourself, poor sleep quality, anxiety, depression, and post-traumatic stress disorder(PTSD). The sample consisted of 2465 older adults, and multivariate logistic and linear regression models were adopted for the analysis. The results show that approximately two out of five older people(43%) experienced poor sleep, followed by loneliness(35%), anxiety(30%), depression(23%), and no time to themselves(11%). The average PTSD score was 11. Mental health and psychological well-being varied by gender and race. There were significant interaction effects on anxiety and depression between females and Black older adults. Black females reported lower levels of anxiety and depressive symptoms than Black males, although the differences were not statistically significant. Black older adults were more likely to experience PTSD but less likely to feel lonely and have poorer sleep than their White counterparts. Female older adults reported poorer mental health and psychological well-being than males, except for Black females. Black females had the lowest levels of anxiety, depression, loneliness, and highest quality of sleep among all females of different ethnic and racial origins.

Insight into the adsorption behavior and mechanism of trace impurities from H_(2)O_(2) solution on functionalized zirconia by tuning the structure of amino groups

Primary,secondary and tertiary amino-functionalized zirconia(ZrO_(2)-NH_(2),ZrO_(2)-NH and ZrO_(2)-N)was synthesized by the postgrafting method for the adsorption removal of typical metallic ions,phosphate and total oxidizable carbon from a real H_(2)O_(2) solution.ZrO_(2)-NH_(2),ZrO_(2)-NH and ZrO_(2)-N exhibited similar pore sizes and sequentially increased zeta potentials.The adsorption results of single and binary simulated solutions showed that the removal efficiency increased in the order of Fe^(3+)>Al^(3+)>Ca^(2+)>Na^(+).There is competitive adsorption between metallic ions,and Fe^(3+) has an advantage over the other metals,with a removal efficiency of 90.7%.The coexisting phosphate could promote the adsorption of metallic ions,while total oxidizable carbon had no effect on adsorption.The adsorption results of the real H_(2)O_(2)solution showed that ZrO_(2)-NH_(2) exhibited the best adsorption affinity for metallic ions,as did phosphate and total oxidizable carbon,with a total adsorption capacity of 120.9 mg·g_(-1).Density functional theory calculations revealed that the adsorption process of metallic ions involves electron transfer from N atoms to metals and the formation of N-metal bonds.

Association of a complete breast cancer pathologic response with axillary lymph node metastasis via neoadjuvant chemotherapy:Results from the CSBrS-012 study

To the Editor:In the last decade,neoadjuvant chemotherapy(NAC)has become a well-accepted treatment option for breast cancer,although few detailed description of NAC in China has yet been reported.[1]A previous study found that among patients with clinically node-negative(cN0)breast cancer,97.7%(432/442)with breast pathologic complete response(bpCR)had ypN0(absence of metastases in the axillary lymph nodes);and 71.6%(882/1232)without bpCR achieved ypN0(P<0.001).As for human epidermal growth factor receptor 2(HER2)positive or triple-negative breast cancer(TNBC)that achieved bpCR.

基于温度开关的光响应智能水凝胶用于可逆信息加密和解密

在智能凝胶防伪系统中使用的光、热、电、pH等刺激响应性水凝胶,是一种有前途的信息加密和解密材料.然而单一刺激会限制高水平的防伪.因此,需要协同使用多种刺激来提升信息安全等级.本研究设计了一种高透明度的海藻酸钠-聚丙烯酰胺(SA-PAM)水凝胶作为基体,利用无机变色材料钼酸铵(Mo7)赋予其凝胶光致变色特性.此外,温敏材料聚N-异丙基丙烯酰胺(PNIPAM)可使凝胶在最低临界相变温度(LCST)下发生体积相变,进而改变凝胶的宏观状态,可以通过调整凝胶体系中亲水单体和疏水单体的比例来控制LCST.利用紫外线(UV)作为“墨水”输入信息,以温度作为“开关”来加密/解密信息.总之,该水凝胶具有出色的光致变色能力,可在10 s内着色,紫外光吸收率最高可达96.23%.利用水凝胶对光-热刺激展现出的非凡响应能力,可以实现其迅速显示和隐藏信息的功能,从而确保信息安全,这为光致变色水凝胶在信息加密领域的应用提供了一种新方法.

Recent progress in MXene layers materials for supercapacitors:High-performance electrodes

In 2011,Gogotsi et al.discovered a new type of two-dimensional transition metal carbides and nitrides,called MXenes,which have become a dazzling new star in the energy storage industry.MXenes are endowed with a series of fascinating properties due to their unique structures and tunable surface chemical functional groups.The application of MXenes in electrochemical energy storage has attracted special attention,especially showing great potential in supercapacitor applications.Compared with other materials,MXenes have high mechanical flexibility,high energy density,and good electrochemical performance,so they are especially suitable as electrode materials for supercapacitors.However,similar to other 2D materials,due to the strong van der Waals forces,MXene layers inevitably undergo stacking agglomeration,resulting in severe loss of electrochemically active sites.If the self-stacking of MXenes layers can be effectively suppressed,their electrochemical performance will be enhanced.Structural optimization of MXenes and composite doping of MXenes with other materials are two strategies with significant effects.This review summarizes recent advances in MXene synthesis,fundamental properties,and composite materials,focusing on the latest electrochemical performance of MXene-based electrodes/devices,and puts forward the challenges and new opportunities that MXenes face in this emerging energy storage field.

Simultaneous removal of total oxidizable carbon,phosphate and various metallic ions from H_(2)O_(2) solution with amino-functionalized zirconia as adsorbents

Amino-functionalized zirconia was synthesized by the co-condensation method using zirconium butanol and 3-aminopropyltriethoxy silane for the simultaneous removal of various impurities from aqueous 30% H_(2)O_(2) solution.The results of Fourier transform infrared(FTIR)and Zeta potential showed that the content of N in amino-functionalized zirconia increased with the added amount of 3-aminopropyltriethoxy silane.Accordingly,the removal efficiency of total oxidizable carbon,phosphate and metallic ions from the H_(2)O_(2) solution increased.The adsorbent with an N content of 1.62%exhibited superior adsorption performance.The removal efficiency of 82.7% for total oxidizable carbon,34.2%for phosphate,87.1% for Fe^(3+),83.2%for Al^(3+),55.1%for Ca^(2+)and 66.6%for Mg^(2+),with a total adsorption capacity of 119.6 mg·g^(-1),could be achieved.The studies conducted using simulated solutions showed that the adsorption process of phosphate on amino-functionalized zirconia is endothermic and spontaneous,and the behaviors could be well described by the pseudo-second-order model and Langmuir model with a maximum adsorption capacity of 186.7 mg·g^(-1).The characterizations of the spent adsorbents by Zeta potential,FTIR and X-ray photoelectron spectroscopy revealed that the adsorption mechanism of phosphate is predominantly electrostatic attraction by the protonated functional groups and complementary ligand exchange with zirconium hydroxyl groups.

Self-supervised graph learning with target-adaptive masking for session-based recommendation

Session-based recommendation aims to predict the next item based on a user’s limited interactions within a short period.Existing approaches use mainly recurrent neural networks(RNNs)or graph neural networks(GNNs)to model the sequential patterns or the transition relationships between items.However,such models either ignore the over-smoothing issue of GNNs,or directly use cross-entropy loss with a softmax layer for model optimization,which easily results in the over-fitting problem.To tackle the above issues,we propose a self-supervised graph learning with target-adaptive masking(SGL-TM)method.Specifically,we first construct a global graph based on all involved sessions and subsequently capture the self-supervised signals from the global connections between items,which helps supervise the model in generating accurate representations of items in the ongoing session.After that,we calculate the main supervised loss by comparing the ground truth with the predicted scores of items adjusted by our designed target-adaptive masking module.Finally,we combine the main supervised component with the auxiliary self-supervision module to obtain the final loss for optimizing the model parameters.Extensive experimental results from two benchmark datasets,Gowalla and Diginetica,indicate that SGL-TM can outperform state-of-the-art baselines in terms of Recall@20 and MRR@20,especially in short sessions.

Quality assessment of randomized controlled trials reporting on knee osteoarthritis treated with warming needle moxibustion

OBJECTIVE: To evaluate the quality of randomized controlled trials(RCTs) testing the efficacy of warming needle moxibustion on knee osteoarthritis(KOA).METHODS: Nine databases were searched systematically including: the Cochrane Library(1/1993-10/2012), Pub Med(1/1980-10/2012), EMBASE(1/1990-10/2012), SCI Expanded(1/1986-10/2012), Science Direct(1/1979-10/2012), Chinese Biomedical Literature Database disc(1/1978-10/2012), China National Knowledge Infrastructure Database(1/1979-10/2012), China Science and Technology Journal Database(a full text issue database of China, 1/1989-10/2012), and Wanfang Database(a full text issue database of China, 1/1990-10/2012). Traditional reference retrieval was also conducted. Language was limited to Chinese and English. We identified 37 RCTs that used warming needle moxibustion as an intervention and they were assessed with the Consolidated Standards for Reporting of Trials Statement 2010(CONSORT 2010) and Standards for Reporting Interventions Controlled Trials of Acupuncture 2010(STRICTA 2010).RESULTS: Of the 37 reports, only seventeen(45.95%) mentioned the random allocation of sequence methods, nine used unacceptable methods, and only one(2.70%) gave the description of the mechanism of allocation concealment. One study(2.70%) mentioned blinding, one(2.70%) had a sample size calculation, and twenty-three(62.16%) used reasonable statistical methods. Thirteen(35.14%) described the background and reason for the RCTs, three(8.11%) gave a description of lost or eliminated patients, and two(5.41%) reported accidental situations. Only three(8.11%)gave analysis of the RCT limitations. No report mentioned intentional analysis.CONCLUSION: The quality of the RCTs assessed in this study was from moderate to low. The design of RCTs, the methods of statistical analysis, and the description of reports information needs to be improved. CONSORT 2010 and STRICTA 2010 should be used to standardize the reporting of acupuncture RCTs in the future.

Nanoparticles modified by polydopamine: Working as “drug” carriers

Inspired by the mechanism of mussel adhesion,polydopamine(PDA),a versatile polymer for surface modification has been discovered.Owing to its unique properties like extraordinary adhesiveness,excellent biocompatibility,mild synthesis requirements,as well as distinctive drug loading approach,strong photothermal conversion capacity and reactive oxygen species(ROS)scavenging facility,various PDA-modified nanoparticles have been desired as drug carriers.These nanoparticles with diverse nanostructures are exploited in multifunctions,consisting of targeting,imaging,chemical treatment(CT),photodynamic therapy(PDT),photothermal therapy(PTT),tissue regeneration ability,therefore have attracted great attentions in plenty biomedical applications.Herein,recent progress of PDA-modified nanoparticle drug carriers in cancer therapy,antibiosis,prevention of inflammation,theranostics,vaccine delivery and adjuvant,tissue repair and implant materials are reviewed,including preparation of PDA-modified nanoparticle drug carriers with various nanostructures and their drug loading strategies,basic roles of PDA surface modification,etc.The advantages of PDA modification in overcoming the existing limitations of cancer therapy,antibiosis,tissue repair and the developing trends in the future of PDA-modified nanoparticle drug carriers are also discussed.