Predictors of HBsAg seroclearance in patients with chronic HBV infection treated with pegylated interferon-α: a systematic review and meta-analysis.

BACKGROUND AND AIMS: The identification of reliable predictors for hepatitis B surface antigen (HBsAg) seroclearance remains controversial. We aimed to summarize potential predictors for HBsAg seroclearance by pegylated interferon-α (PegIFNα) in patients with chronic HBV infection. METHODS: A systematic search of the Cochrane Library, Embase, PubMed, and Web of Science databases was conducted from their inception to 28 September 2022. Meta-analyses were performed following the PRISMA statement. Predictors of HBsAg seroclearance were evaluated based on baseline characteristics and on-treatment indicators. RESULTS: This meta-analysis encompasses 27 studies, including a total of 7913 patients. The findings reveal several factors independently associated with HBsAg seroclearance induced by PegIFNα-based regimens. These factors include age (OR = 0.961), gender (male vs. female, OR = 0.537), genotype (A vs. B/D; OR = 7.472, OR = 10.738), treatment strategy (combination vs. monotherapy, OR = 2.126), baseline HBV DNA (OR = 0.414), baseline HBsAg (OR = 0.373), HBsAg levels at week 12 and 24 (OR = 0.384, OR = 0.294), HBsAg decline from baseline to week 12 and 24 (OR = 6.689, OR = 6.513), HBsAg decline from baseline ≥ 1 log10 IU/ml and ≥ 0.5 log10 IU/ml at week 12 (OR = 18.277; OR = 4.530), and ALT elevation at week 12 (OR = 3.622). Notably, subgroup analysis suggests no statistical association between HBsAg levels at week 12 and HBsAg seroclearance for treatment duration exceeding 48 weeks. The remaining results were consistent with the overall analysis. CONCLUSIONS: This is the first meta-analysis to identify predictors of HBsAg seroclearance with PegIFNα-based regimens, including baseline and on-treatment factors, which is valuable in developing a better integrated predictive model for HBsAg seroclearance to guide individualized treatment and achieve the highest cost-effectiveness of PegIFNα.

Blood-Brain Barrier-Penetrating and Lesion-Targeting Nanoplatforms Inspired by the Pathophysiological Features for Synergistic Ischemic Stroke Therapy.

Ischemic stroke is a dreadful vascular disorder that poses enormous threats to the public health. Due to its complicated pathophysiological features, current treatment options after ischemic stroke attack remains unsatisfactory. Insufficient drug delivery to ischemic lesions impeded by the blood-brain barrier (BBB) largely limits the therapeutic efficacy of most anti-stroke agents. Herein, inspired by the rapid BBB penetrability of 4T1 tumor cells upon their brain metastasis and natural roles of platelet in targeting injured vasculatures, a bio-derived nanojacket is developed by fusing 4T1 tumor cell membrane with platelet membrane, which further clothes on the surface of paeonol and polymetformin-loaded liposome to obtain biomimetic nanoplatforms (PP@PCL) for ischemic stroke treatment. The designed PP@PCL could remarkably alleviate ischemia-reperfusion injury by efficiently targeting ischemic lesion, preventing neuroinflammation, scavenging excess reactive oxygen species (ROS), reprogramming microglia phenotypes, and promoting angiogenesis due to the synergistic therapeutic mechanisms that anchor the pathophysiological characteristics of ischemic stroke. As a result, PP@PCL exerts desirable therapeutic efficacy in injured PC12 neuronal cells and rat model of ischemic stroke, which significantly attenuates neuronal apoptosis, reduces infarct volume, and recovers neurological functions, bringing new insights into exploiting promising treatment strategies for cerebral ischemic stroke management.

Chemoimmunotherapeutic Nanogel for Pre- and Postsurgical Treatment of Malignant Melanoma by Reprogramming Tumor-Associated Macrophages.

Surgery is the primary method to treat malignant melanoma; however, the residual microtumors that cannot be resected completely often trigger tumor recurrence, causing tumor-related mortality following melanoma resection. Herein, we developed a feasible strategy based on the combinational chemoimmunotherapy by cross-linking carboxymethyl chitosan (CMCS)-originated polymetformin (PolyMetCMCS) with cystamine to prepare stimuli-responsive nanogel (PMNG) owing to the disulfide bond in cystamine that can be cleaved by the massive glutathione (GSH) in tumor sites. Then, chemotherapeutic agent doxorubicin (DOX) was loaded in PMNG, which was followed by a hyaluronic acid coating to improve the overall biocompatibility and targeting ability of the prepared nanogel (D@HPMNG). Notably, PMNG effectively reshaped the tumor immune microenvironment by reprogramming tumor-associated macrophage phenotypes and recruiting intratumoral CD8+ T cells owing to the inherited immunomodulatory capability of metformin. Consequently, D@HPMNG treatment remarkably suppressed melanoma growth and inhibited its recurrence after surgical resection, proposing a promising solution for overcoming lethal melanoma recurrence.

The Nutrition Knowledge Level and Influencing Factors among Chinese Women Aged 18-49 Years in 2021: Data from a Nationally Representative Survey.

Women aged 18-49 years are women of childbearing age. Their nutrition knowledge (NK) is not only related to their physical health but also affects the diet quality of the entire family and the health status of the next generation. Studies that assess the NK level of women of childbearing age using representative data in China are lacking. This study aimed to evaluate the NK level of Chinese women aged 18-49 years and explore influencing factors at both the individual and provincial levels. Data were from the Chinese Nutrition and Health Knowledge Survey 2021. A total of 38,065 females aged 18-49 years were included in the analysis. A face-to-face validated standard questionnaire was used to collect NK from respondents. The full score of the questionnaire was 100. Respondents who scored higher than 75 were considered to have NK. The Rao-Scott chi-square test was used to compare the differences in the NK awareness rate between or among the subgroups. A multilevel logistic regression model was used to explore influencing factors at the individual and provincial levels. All analyses accounted for complex sample design including clustering, stratification, and sample weights. The mean score of NK among Chinese women aged 18-49 years was 65.1 ± 11.8, and the awareness rate was 20.9% (95% CI: 19.6-22.3%). Among the five dimensions, the awareness rate of food safety was the highest (74.0%, 95% CI: 72.8-75.3%), and the dietary recommendation was the lowest (16.4%, 95% CI: 15.3-17.5%). The two-level logistic regression model analysis revealed that at the individual level, age, education level, occupation, chronic disease status and residence were the main influencing factors of the NK level. At the provincial level, the region and the female illiteracy rate were associated with the NK level. Dependent children ratio, per capita income, and health expenditure were not significantly associated with the NK level. The model accounted for 58.8% of the variance in the NK level. The NK level of Chinese women aged 18-49 years was low. Knowledge of dietary recommendations was weakest. Both individual and provincial-level factors were associated with the NK level. There is an urgent need to strengthen nutrition education actions for enhancing the NK of reproductive-age women effectively to improve their dietary behaviors.

Extracellular Vesicles-Derived Hybrid Nanoplatforms for Amplified CD47 Blockade-Based Cancer Immunotherapy.

Immunomodulation of tumor-associated macrophages (TAMs) into tumor-inhibiting M1-like phenotype is a promising but challenging strategy. Cleverly, tumor cells overexpress CD47, a "don't eat me" signal that ligates with the signal regulatory protein alpha (SIRPα) on macrophages to escape phagocytosis. Thus, effective re-education of TAMs into the "eat me" type and blocking the CD47-SIRPα signaling play pivotal roles in tumor immunotherapy. Herein, it is reported that hybrid nanovesicles (hEL-RS17) derived from extracellular vesicles of M1 macrophages and decorated with RS17 peptide, an antitumor peptide that specifically binds to CD47 on tumor cells and blocks CD47-SIRPα signaling, can actively target tumor cells and remodel TAM phenotypes. Consequently, more M1-like TAMs infiltrate into tumor tissue to phagocytize more tumor cells due to CD47 blockade. By further co-encapsulating chemotherapeutic agent shikonin, photosensitizer IR820, and immunomodulator polymetformin in hEL-RS17, an enhanced antitumor effect is obtained due to the combinational treatment modality and close synergy among each component. Upon laser irradiation, the designed SPI@hEL-RS17 nanoparticles exert potent antitumor efficacy against both 4T1 breast tumor and B16F10 melanoma models, which not only suppresses primary tumor growth but also inhibits lung metastasis and prevents tumor recurrence, exhibiting great potential in boosting CD47 blockade-based antitumor immunotherapy.

[Design and implementation of a modular pulse wave preprocessing and analysis system based on a new detection algorithm].

As one of the standard electrophysiological signals in the human body, the photoplethysmography contains detailed information about the blood microcirculation and has been commonly used in various medical scenarios, where the accurate detection of the pulse waveform and quantification of its morphological characteristics are essential steps. In this paper, a modular pulse wave preprocessing and analysis system is developed based on the principles of design patterns. The system designs each part of the preprocessing and analysis process as independent functional modules to be compatible and reusable. In addition, the detection process of the pulse waveform is improved, and a new waveform detection algorithm composed of screening-checking-deciding is proposed. It is verified that the algorithm has a practical design for each module, high accuracy of waveform recognition and high anti-interference capability. The modular pulse wave preprocessing and analysis software system developed in this paper can meet the individual preprocessing requirements for various pulse wave application studies under different platforms. The proposed novel algorithm with high accuracy also provides a new idea for the pulse wave analysis process.

Structural basis of main proteases of HCoV-229E bound to inhibitor PF-07304814 and PF-07321332.

PF-07321332 and PF-07304814, inhibitors against SARS-CoV-2 developed by Pfizer, exhibit broad-spectrum inhibitory activity against the main protease (Mpro) from various coronaviruses. Structures of PF-07321332 or PF-07304814 in complex with Mpros of various coronaviruses reveal their inhibitory mechanisms against different Mpros. However, the structural information on the lower pathogenic coronavirus Mpro with PF-07321332 or PF-07304814 is currently scarce, which hinders our comprehensive understanding of the inhibitory mechanisms of these two inhibitors. Meanwhile, given that some immunocompromised individuals are still affected by low pathogenic coronaviruses, we determined the structures of lower pathogenic coronavirus HCoV-229E Mpro with PF-07321332 and PF-07304814, respectively, and analyzed and defined in detail the structural basis for the inhibition of HCoV-229E Mpro by both inhibitors. Further, we compared the crystal structures of multiple coronavirus Mpro complexes with PF-07321332 or PF-07304814 to illustrate the differences in the interaction of Mpros, and found that the inhibition mechanism of lower pathogenic coronavirus Mpro was more similar to that of moderately pathogenic coronaviruses. Our structural studies provide new insights into drug development for low pathogenic coronavirus Mpro, and provide theoretical basis for further optimization of both inhibitors to contain potential future coronaviruses.

Top-Emission ZnSeTe/ZnSe/ZnS-Based Blue Quantum Dot Light-Emitting Diodes with Enhanced Chroma Efficiency.

A high-performance quantum dot light-emitting diode (QLED) with heavy metal free (HMF) quantum dots (QDs) is urgently needed for its application in next-generation eco-friendly displays. However, the preparation of high-performance HMF QD materials and the corresponding electroluminescent devices remain challenges at present, especially for blue-emitting devices. In this work, by adjusting the Te/Se ratio of the ZnSeTe core, ZnSeTe/ZnSe/ZnS blue QDs with adjustable energy levels and emission peaks are demonstrated. These QDs are utilized to fabricate top-emitting QLEDs, yielding a peak current efficiency (CE) of 11.8 cd A-1. To make it one step further to meet the requirement of the wide color gamut in displays, the devices' color coordinates and current efficiency are simultaneously optimized by adjusting their microcavity structure and electrical properties. Finally, the chroma efficiency (current efficiency/CIEy) of the blue devices is optimized to 72, which is 2.2 times that of the control device.

Harnessing nanobiotechnology for cerebral ischemic stroke management.

Cerebral ischemic stroke remains one of the most serious neurological disorders that pose threats to human health, causing a large amount of long-term disability or even death throughout the world. Based on its physiologic and pathological features, there are limited available therapeutic options for effective ischemic stroke management. Encouragingly, a rapid advancement of nanobiotechnology is bringing new insights into exploring more alternative strategies against cerebral ischemic stroke, which can cleverly overcome the limitations related to conventional treatment methods. Therefore, this review focuses on the recent achievements of nanobiotechnology for ischemic stroke management, which emphasizes diverse targeted delivery strategies using various nanoplatforms including liposomes, micelles, polymeric nanoparticles, nanogels, inorganic nanomaterials, and cell-derived nano-vectors based on the pathophysiological features of ischemic stroke. Moreover, different therapeutic approaches against ischemic stroke such as neuroprotection, anti-inflammation, thrombolysis, increased blood-brain barrier penetration and reactive oxygen species scavenging are highlighted. Meanwhile, this review discusses how these versatile nanoplatforms were designed to assist in the treatment of ischemic stroke. Based on this, challenges, opportunities, and future perspectives using nanobiotechnology through rational design for effective ischemic stroke management are revealed.

Evaluation of the effectiveness of healthy school canteen intervention on nutritional literacy and dietary behavior among primary school students / 中国学校卫生

Objective@#To explore the effectiveness of healthy school canteen intervention on nutritional literacy, food consumption, as well as attitude towards school canteen.@*Methods@#A primary school in Taizhou City was selected as the intervention school, and another comparable primary school was selected as the control one. A total of 320 students (163 in the intervention group and 157 in the control group) received a comprehensive intervention based on the construction of a healthy school canteen in the school,incluling healthy dining environment,food impravement,chef training,nutrition and health education, while the control group did not receive any intervention. Questionnaires survey was administered to both groups before and after the intervention.@*Results@#Before the intervention, no significant differences were found in the total scores of skills and nutrition literacy, frequency of food intake, behaviors and attitudes related to canteen construction between the two groups( P >0.05). Daily intake of vegetables, dairy products, fish/poultry/eggs/lean meat increased by 19.63, 15.95 and 19.63 percentage point respectively ( χ 2=15.25，9.14，13.93， P <0.01). The proportion of students reporting have read related intervention materials in the intervention group(95.71%) was higher than the control group(84.71%) ( χ 2= 11.04, P < 0.01 ). The students in favor of low salt, low oil and low sugar dishes in the intervention group (74.85%) was higher than in the control group(48.41%) ( χ 2=23.73, P <0.01).@*Conclusion@#Based on the comprehensive intervention of nutrition and health canteens can improve students nutrition literacy and dietary structure. It is recommended to adopt the form of "home school linkage" to carry out the construction of large sample, multi regional and long term nutrition and health canteens.

[Age distribution of nutrition and health knowledge among Chinese adults in 2021].

OBJECTIVE: To analyze the age distribution of nutrition and health knowledge level of Chinese residents aged 18-64. METHODS: A total of 102 398 residents aged 18-64 were selected from 302 survey sites in China by multi-stage cluster random sampling method, a total of 98 567 respondents were included in the study. Both mean and rate were calculated by complex sampling weighting. RESULTS: The nutrition and health knowledge score of residents aged 18-24, 25-34, 35-44, 45-54 and 55-64 years old in China were(65.1±11.4) points, (64.6±11.7) points, (64.7±12.0) points, (62.2±12.8) points and(59.5±13.3) points. The nutrition and health knowledge awareness rates were 20.3%, 19.1%, 20.3%, 16.9% and 12.1%, respectively(P<0.001). A decreasing trend in all dimensions and overall nutrition and health knowledge with increasing age was found(ß<0, P_(trend)<0.001). This trend was also reflected across gender or regions. While the trend of nutrition and health knowledge level with age varies with different literacy levels. Differences in knowledge points with positive response rates <30% by age groups. CONCLUSION: The level of nutrition and health knowledge among Chinese adult residents of all ages is relatively low in 2021, but the knowledge shortcomings are different.

[Access channels on nutrition and health knowledge of Chinese adults in 2021].

OBJECTIVE: To analyze the access channels on nutritional health knowledge of Chinese residents aged 18-64 years in 2021. METHODS: A multi-stage cluster random sampling was used to select 302 survey sites across the country, there were 102 398 people surveyed, with 98 424 valid questionnaires, 49.4% male and 42.0% urban, with an average age of(38.5±12.2) years old. A standardized questionnaire certified by experts and evaluated for reliability and validity was used to conduct the face-to-face survey. Descriptive statistics were used to report the access channels on nutrition and health knowledge of respondents, and the proportion of access channels of respondents with different characteristics was compared by chi-square test. RESULTS: The access channels on nutrition and health knowledge of Chinese residents aged 18-64 in 2021 were, in descending order, WeChat/Microblog/Tik Tok/Kuaishou and other software(77.0%), TV/radio(55.7%), family/relatives/friends(41.8%), books/newspapers/journals/magazines(32.5%), website search(30.7%), promotional lectures(29.3%) and other(1.9%). A high proportion of people who access nutrition and health knowledge through software, website searches and books/newspapers were mostly from the lower age groups, higher education groups, urban and eastern regions. People with a high proportion of access through TV/radio, family/relatives/friends and promotional lectures were mostly from the higher age groups, lower education groups, rural and western areas(P<0.001). Women are more likely than men to obtain nutrition and health information from all channels except website search. The higher the level of education, the higher the level of concern for nutrition and health knowledge(P<0.001). CONCLUSION: In 2021, the top access channel for Chinese residents aged 18-64 to obtain nutrition and health knowledge is WeChat/Microblog/Tik Tok/Kuaishou and other software. There are differences in access channels for different groups of people.

[Geographical distribution differences of nutrition and health knowledge among Chinese adults in 2021].

OBJECTIVE: To explore the geographical distribution of nutrition and health knowledge among 18-64 years old adults in China. METHODS: A total of 102 398 residents aged 18-64 from 302 survey sites were selected by multi-stage cluster random sampling method, a total of 98 567 respondents were included in the study. Both mean and rate were calculated by complex sampling weighting. RESULTS: The nutrition and health knowledge score in eastern region(65.5±12.0) was higher than that in central(62.4±11.9) and western(61.4±12.9), and the score in northern region(63.9±11.8) was higher than that in southern(63.1±12.8). In the seven geographical regions, the highest score was in north(65.8±11.4), and the lowest score was in northwest(61.6±12.2). The awareness rate of nutrition and health in eastern region(22.4%) was higher than that in central(14.7%) and western(14.9%), the highest awareness rate among the seven geographic regions was in east(23.2%), followed by north(22.5%) and the lowest was in northwest(13.2%). There were also differences in nutritional health knowledge levels of residents in different regions in the five dimensions(P<0.001). Northwest China had the lowest awareness of food characteristics and nutrition and disease dimensions, South China had the lowest awareness of dietary recommendations and food choices dimensions, and Southwest China had the lowest awareness of food safety dimensions. CONCLUSION: The level of nutrition and health knowledge of Chinese adults have large geographical differences.

Emotion Recognition Based on Energy-related Features of Peripheral Physiological Signals.

The interest in development of methods and tools for recognizing human emotions has increased continuously. Using physiological information, especially the peripheral physiological signals, to identify emotions is an important direction for this area. This paper proposes an approach for emotion recognition based on energy-related features extracted from peripheral physiological signals. Three emotions: calm, happiness and fear, were elicited in 54 volunteers using video clips while three peripheral physiological signals were recorded: Electrocardiography (ECG), Photoplethysmography (PPG) and Respiration. Given that energy-related features of physiological signals are closely related to autonomic nervous systems activities, nine energy-related features were extracted from the recorded physiological signals. To find the optimal feature subset to represent the target emotions, the correlation between features and emotion state, as well as the discrimination ability of feature for emotion recognition were both analyzed. Four optimal features were then selected for further classification. Moreover, models based on Decision Tree (DT) were built to evaluate the performance of these features for purpose of recognition of emotion states of calm, happiness, and fear. The results show that the DT models based on these four optimal features could distinguish fear from calm (AUC=0.879, Accuracy=87.8%), happiness from calm (AUC=0.915, Accuracy=91.8%), and fear from happiness (AUC=0.822, Accuracy=81.8%), with a global recognition accuracy of 70.8%. These results indicate that energy-related features of peripheral physiological signals can reliably identify emotions, especially intense emotions.

Development of magnetic molecularly imprinted solid-phase extraction and ultra-high performance liquid chromatography tandem mass spectrometry for rapid and selective determination of urinary diphenyl phosphate of college students.

Organophosphate esters (OPEs), known as novel alternative flame retardants, are a class of environmental endocrine disruptors. Long-term exposure to OPEs may bring a non-negligible health risk to human. Urinary OPE metabolites (mOPEs) are generally used as biomarkers to evaluate the internal exposure to OPEs. Diphenyl phosphate (DPHP), the main metabolite of aryl-OPEs, exhibited high detection rates and concentrations in urine samples. To establish a selective and simple analytical method for biomonitoring urinary DPHP, a specific magnetic molecular imprinted polymer (MMIP) was fabricated via a sol-gel method. Under optimum magnetic solid-phase extraction (MSPE) conditions, the resultant MMIP exhibited selective recognition ability, ideal adsorption capacity and good reusability on urinary DPHP enrichment. The developed MSPE method coupled with ultra-high performance liquid chromatography tandem mass spectrometry (U-HPLC-MS/MS) exhibited good precision and accuracy (spiked recoveries of 85.8%-109% with relative standard deviations (RSDs) ranged from 5.1%-13%), low detection limit of 0.035 ng/mL, and negligible matrix inhibition. Then we used this proposed method to detect urinary DPHP levels of recruited 30 college students and investigate the time variability and potential determinants. All urine samples revealed the presence of DPHP at a median concentration of 0.56 µg/g Creatinine (Cr). Moderate reproducibility of DPHP level was observed in first morning urine samples (ICC>0.40). Significant correlations were found between urinary DPHP levels and gender (ß=0.72; 95% CI: 0.48∼0.96), sampling time (ß=0.36; 95% CI: 0.08∼0.65) as well as the frequency for take-out food (ß=0.45; 95% CI: 0.07∼0.74) (p< 0.05). Hence, a fast and sensitive MSPE-U-HPLC-MS/MS method was successfully built to quantify urinary DPHP.

Shenkang injection protects against renal fibrosis by reducing perforin expression through the STING/TBK1/IRF3 signaling pathways in natural killer cells.

BACKGROUND: Immune activation, chronic inflammation, and renal interstitial fibrosis (RIF) are associated with chronic kidney disease (CKD). The herbal formula, Shenkang injection (SKI), has been reported to attenuate RIF. However, the mechanisms by which SKI alleviates renal fibrosis, especially the role of natural killer (NK) cells, are unknown and require exploration. PURPOSE: This study aimed to determine the mechanisms by which SKI alleviates RIF. METHODS: Differential gene expression between CKD mice and control groups was explored using bioinformatics analysis. To reveal how SKI reduces RIF in CKD, a CKD mouse model was established using folic acid for in vivo studies, and human kidney-2 cells were used for in vitro experiments. The effects of various SKI doses were then determined. Immunohistochemical staining, Enzyme-linked immunosorbent assay, western blotting, and quantitative real-time PCR were used for pathological and molecular expression detection. RESULTS: We first investigated the potential immune dysfunction in CKD using bioinformatics analysis. Some differentially expressed genes were enriched in immune-related functions. The expressions of perforin and interferon (IFN)-γ, which are mainly released by NK cells, were significantly higher in patients with CKD (p< 0.05). In vivo experiments showed that SKI alleviated renal fibrosis in a folic acid-induced renal fibrosis model. Serum creatinine and blood urea nitrogen levels were reduced in the high-dose SKI-treated group. Additionally, the mRNA and protein expression levels of type IV collagen and alpha-spinal muscular atrophy were reduced. Biochemical detection showed that SKI could also downregulate the activity of NK cells (by decreasing the expressions of perforin and IFN-γ). Increased levels of stimulator of interferon genes (STING)/TANK-binding kinase 1 (TBK1)/IFN regulatory factor 3 (IRF3), phosphorylation of TBK1, and IRF3 in FA-induced RIF mice were alleviated by SKI treatment, which was consistent with the results of in vitro experiments. CONCLUSION: These results demonstrated that SKI could decrease the activation of NK cells via the STING/TBK1/IRF3 signaling pathway, thereby alleviating RIF and protecting renal function in CKD. This may provide valuable evidence supporting the clinical use of SKI in the treatment of patients with CKD.

Crystal structure of SARS-CoV 3C-like protease with baicalein.

The 3C-like protease (Mpro, 3CLpro) plays a key role in the replication process in coronaviruses (CoVs). The Mpro is an essential enzyme mediates CoVs replication and is a promising target for development of antiviral drugs. Until now, baicalein has been shown the specific activity for SARS-CoV Mpro in vitro experiments. In this study, we resolved the SARS-CoV Mpro with baicalein by X-ray diffraction at 2.25 Å (PDB code 7XAX), which provided a structural basis for the research and development of baicalein as an anti-CoVs drug.

Quasi-Shell-Growth Strategy Achieves Stable and Efficient Green InP Quantum Dot Light-Emitting Diodes.

Indium phosphide (InP) based quantum dots (QDs) have been known as an ideal alternative to heavy metals including QDs light emitters, such as cadmium selenium (CdSe) QDs, and show great promise in the next-generation solid-state lighting and displays. However, the electroluminescence performance of green InP QDs is still inferior to their red counterparts, due to the higher density of surface defects and the wider particle size distribution. Here, a quasi-shell-growth strategy for the growth of highly luminescent green InP/ZnSe/ZnS QDs is reported, in which the zinc and selenium monomers are added at the initial nucleation of InP stage to adsorb on the surface of InP cores that create a quasi-ZnSe shell rather than a bulk ZnSe shell. The quasi-ZnSe shell reduces the surface defects of InP core by passivating In-terminated vacancies, and suppresses the Ostwald ripening of InP core at high temperatures, leading to a photoluminescence quantum yield of 91% with a narrow emission linewidth of 36 nm for the synthesized InP/ZnSe/ZnS QDs. Consequently, the light-emitting diodes based on the green QDs realize a maximum luminance of 15606 cd m-2 , a peak external quantum efficiency of 10.6%, and a long half lifetime of > 5000 h.

Composite substrate of graphene/Ag nanoparticles coupled with a multilayer film for surface-enhanced Raman scattering biosensing.

In this paper, we designed a surface-enhanced Raman scattering (SERS) substrate for graphene/Ag nanoparticles (Ag NPs) bonded multilayer film (MLF) using the hybrid nanostructures composed of graphene and plasmonic metal components with significant plasmonic electrical effects and unique optical characteristics. This paper achieved the advantages of efficient utilization of electromagnetic field and reduction of fluorescence background based on the electromagnetic enhancement activity of Ag NPs and unique physical/chemical properties of graphene with zero gap structures. Au/Al2O3 was stacked periodically to construct MLF. As indicated by the electric field intensity at the Au/Al2O3 interface of the respective layer, bulk plasmon polariton (BPP) in the MLF was excited and coupled with localized surface plasmon (LSP) in the Ag NPs, which enhanced the electromagnetic field on the top-layer of SERS substrate. To measure the performance of the SERS substrate, rhodamine 6G (R6G) and malachite green (MG) were used as the probe molecules, with the detection limits of 10-11 M and 10-8 M, respectively. The SERS substrate had high sensitivity and uniformity, which indicated that it has a broad application prospect in the field of molecular detection.

LSPR optical fiber sensor based on 3D gold nanoparticles with monolayer graphene as a spacer.

Localized surface plasmon resonance (LSPR) optical fiber biosensing is an advanced and powerful label-free technique which gets great attention for its high sensitivity to refractive index change in surroundings. However, the pursuit of a higher sensitivity is still challenging and should be further investigated. In this paper, based on a monolayer graphene/gold nanoparticles (Grm/Au NPs) three-dimensional (3D) hybrid structure, we fabricated a D-shaped plastic optical fiber (D-POF) LSPR sensor using a facile two-step method. The coupling enhancement of the resonance of this multilayer structure was extremely excited by the surface plasmon property of the stacked Au NPs/Grm layer. We found that the number of plasmonic structure layers was of high importance to the performance of the sensor. Moreover, the optimal electromagnetic field enhancement effect was found in three-layer plasmonic structure. Besides, the n*(Grm/Au NPs)/D-POF sensor exhibited outstanding performance in sensitivity (2160 nm/RIU), linearity (linear fitting coefficient R2 = 0.996) and reproducibility. Moreover, the sensor successfully detected the concentration of glucose, achieving a sensitivity of 1317.61 nm/RIU, which suggested a promising prospect for the application in medicine and biotechnology.