The efficacy of residual plerixafor for second-day stem cell mobilization in multiple myeloma patients.

BACKGROUND: Granulocyte colony-stimulating factor (G-CSF) plus plerixafor has been shown to improve the efficacy of peripheral blood stem cell (PBSC) mobilization, however, due to its high price, the use of plerixafor is limited in China. The purpose of this study was to assess the efficacy of residual plerixafor for second-day stem cell mobilization in multiple myeloma (MM) patients. MATERIALS AND METHODS: In this single-center retrospective study, 69 MM patients received G-CSF + plerixafor to mobilize PBSCs, which were collected from 28 patients only for one day and 41 patients for two days. Some of the patients received residual plerixafor, and PBSCs were collected on the second day. The data on the characteristics, different doses of plerixafor and efficacy of PBSC mobilization were collected and analyzed. RESULTS: After 1 or 2 apheresis procedures, 85.5% of patients collected more than 2 × 106 cells/kg PBSCs. There was no statistically significant difference in the success rate of CD34 + PBSC mobilization with the different doses of plerixafor on the first day, but the higher residual plerixafor dose resulted in better success rates on the second day (P＜0.001). Among the patients who collected PBSCs for two days, the level of the CD34 + cell yield of 24 patients (58.5%) changed better, which was significantly correlated with the dose of residual plerixafor on the second day (P = 0.001). DISCUSSION: These results suggested that the administration of residual plerixafor to mobilize stem cells on the second day is an economical, efficient and clinically feasible method.

Evaluation of the diagnostic utility on 1.5T and 3.0T 1H magnetic resonance spectroscopy for temporal lobe epilepsy.

BACKGROUND: 1H magnetic resonance spectroscopy (1H-MRS) can be used to study neurological disorders because it can be utilized to examine the concentrations of related metabolites. However, the diagnostic utility of different field strengths for temporal lobe epilepsy (TLE) remains unclear. The purpose of this study is to make quantitative comparisons of metabolites of TLE at 1.5T and 3.0T and evaluate their efficacy. METHODS: Our retrospective collections included the single-voxel 1H-MRS of 23 TLE patients and 17 healthy control volunteers (HCs) with a 1.5T scanner, as well as 29 TLE patients and 17 HCs with a 3.0T scanner. Particularly, HCs were involved both the scans with 1.5T and 3.0T scanners, respectively. The metabolites, including the N-acetylaspartate (NAA), creatine (Cr), and choline (Cho), were measured in the left or right temporal pole of brain. To analyze the ratio of brain metabolites, including NAA/Cr, NAA/Cho, NAA/(Cho + Cr) and Cho/Cr, four controlled experiments were designed to evaluate the diagnostic utility of TLE on 1.5T and 3.0T MRS, included: (1) 1.5T TLE group vs. 1.5T HCs by the Mann-Whitney U Test, (2) 3.0T TLE group vs. 3.0T HCs by the Mann-Whitney U Test, (3) the power analysis for the 1.5T and 3.0T scanner, and (4) 3.0T HCs vs. 1.5T HCs by Paired T-Test. RESULTS: Three metabolite ratios (NAA/Cr, NAA/Cho, and NAA/(Cho + Cr) showed the same statistical difference (p < 0.05) in distinguishing the TLE from HCs in the bilateral temporal poles when using 1.5T or 3.0T scanners. Similarly, the power analysis demonstrated that four metabolite ratios (NAA/Cr, NAA/Cho, NAA/(Cho + Cr), Cho/Cr) had similar distinction abilities between 1.5T and 3.0T scanner, denoting both 1.5T and 3.0T scanners were provided with similar sensitivities and reproducibilities for metabolites detection. Moreover, the metabolite ratios of the same healthy volunteers were not statistically different between 1.5T and 3.0T scanners, except for NAA/Cho (p < 0.05). CONCLUSIONS: 1.5T and 3.0T scanners may have comparable diagnostic potential when 1H-MRS was used to diagnose patients with TLE.

Adaptive Fuzzy Modal Matching of Capacitive Micromachined Gyro Electrostatic Controlling.

A fuzzy PI controller was utilized to realize the modal matching between a driving and detecting model. A simulation model was built to study electrostatic decoupling controlling technology. The simulation results show that the modal matching can be gained by the fuzzy PI controller. The frequency difference between the driving mode and the detection mode is less than 1 Hz, and the offset of the input DC is smaller than 0.6 V. The optimal proportionality factor and integral coefficient are 1.5 and 20, respectively. The fuzzy PI controlling technology provides a good way for the parameter optimization to gain modal matching of micro gyro, via which the detecting accuracy and stability can be improved greatly.

Directional Water Transport Janus Composite Nanofiber Membranes for Comfortable Bioprotection.

The Janus membrane has a huge prospect for personal comfortable protection. However, there still is a huge imbalance between the comfort and protection of the existing Janus membrane. There is an urgent need to further improve the comprehensive performance of the protective membrane to realize both protection and comfort. Herein, we report the Janus membrane with directional water transport capacity and dust rejection performance by compounding the polyvinyl chloride hydrophobic nanofiber membrane and polyamide-6 blended polyvinyl pyrrolidone hydrophilic nanofiber membrane. This Janus composite nanofiber membrane exhibited an excellent dust rejection efficiency of 99.99%, air permeability of 42.15 mm/s, which was 76 times that of the commercial waterproof and breathable PTFE membrane, water vapor transmission rate of 4.89 kg/(m2 × 24 h), and accumulative one-way transport capacity of 888.7%. In addition, the breakthrough pressure of the Janus membrane in the reverse direction (i.e., hydrophilic layer to hydrophobic layer) was four times that in the positive direction (i.e., hydrophobic layer to hydrophilic layer), suggesting it to be a potential substrate for comfortable bioprotection with a comprehensive protection capability.

High-performance multifunctional electrospun fibrous air filter for personal protection: A review.

With the increasingly serious air pollution and the rampant coronavirus disease 2019 (COVID-19), preparing high-performance air filter to achieve the effective personal protection has become a research hotspot. Electrospun nanofibrous membrane has become the first choice of air filter because of its small diameter, high specific surface area and porosity. However, improving the filtration performance of the filter only cannot meet the personal needs: it should be given more functions based on high filtration performance to maximize the personal benefits, called, multifunctional, which can also be easily realized by electrospinning technology, and has attracted much attention. In this review, the filtration mechanism of high-performance electrospun air filter is innovatively summarized from the perspective of membrane. On this basis, the specific preparation process, advantages and disadvantages are analyzed in detail. Furthermore, other functions required for achieving maximum personal protection benefits are introduced specifically, and the existing high-performance electrospun air filter with multiple functions are summarized. Finally, the challenges, limitations, and development trends of manufacturing high-performance air filter with multiple functions for personal protection are presented.

Three-dimensional composite electrospun nanofibrous membrane by multi-jet electrospinning with sheath gas for high-efficiency antibiosis air filtration.

Three-dimensional (3D) composite polyvinylidene fluoride (PVDF)/polyacrylonitrile (PAN) electrospun nanofibrous membranes combining both thick and thin nanofibers have been fabricated by the method of multi-jet electrospinning with sheath gas to realize high-efficiency air filtration under a low pressure drop. The thin PAN nanofibers form a dense membrane, with a strong capturing ability on the ultra-fine particles, while the thick PVDF nanofibers play a 3D supporting effect on the thin PAN nanofibers. In this case, the combination results in a fluffy membrane with higher porosity, which could achieve the airflow passing through the membrane without the air pressure drop. The effects of the composite manner of thick nanofibers and thin nanofibers are investigated, in order to optimize the air filtration performance of the 3D composite nanofibrous membrane. As a result, the maximum quality factor for air filtration could reach up to 0.398 Pa-1. The particle-fiber interaction model was used to simulate the air filtration process as well, and the simulation results were fairly consistent with the experimental results, providing a guidance method for the optimization of composite nanofibrous membrane for high-efficiency air filtration. More interestingly, a cationic poly[2-(N,N-dimethyl amino) ethyl methacrylate] (PDMAEMA) was added in the PVDF solution to obtain a composite air filtration membrane with excellent antibiosis performance, which achieved the highest inhibition rate of approximately 90%. In short, this work provides an effective way to promote antibiosis air filtration performance by using an electrospun nanofibrous membrane, and might also effectively accelerate the biological protection application of current air filtration membranes.

Comparison of Retzius-sparing robot-assisted laparoscopic radical prostatectomy vs standard robot-assisted radical prostatectomy: a meta-analysis.

BACKGROUND: To compare the postoperative continence and clinical outcomes of Retzius-sparing robot-assisted laparoscopic radical prostatectomy (RS-RALP) with non-RS RALP for patients with prostate cancer. METHODS: We searched PUBMED, EMBASE and the Cochrane Central Register from 1999 to 2019 for studies comparing RS-RALP to non-RS RALP for the treatment of prostate cancer. We used RevMan 5.2 to pool the data. RESULTS: A total of seven studies involving 1620 patients were included in our meta-analysis. No significant difference was found in positive surgical margins (PSM), bilateral nerve-sparing, postoperative hernia, complications, blood loss, or operative time. Postoperative continence was better with RS-RALP compared with non-RS RALP (OR = 1.02, OR: 2.86, 95% CI 1.94-4.20, p < 0.05). CONCLUSIONS: RS-RALP had a better recovery of postoperative continence than non-RS RALP. The perioperative outcomes were comparable for the two methods.

Identification of key candidate genes and pathways in multiple myeloma by integrated bioinformatics analysis.

Multiple myeloma (MM) is a common hematologic malignancy for which the underlying molecular mechanisms remain largely unclear. This study aimed to elucidate key candidate genes and pathways in MM by integrated bioinformatics analysis. Expression profiles GSE6477 and GSE47552 were obtained from the Gene Expression Omnibus database, and differentially expressed genes (DEGs) with p < .05 and [logFC] > 1 were identified. Functional enrichment, protein-protein interaction network construction and survival analyses were then performed. First, 51 upregulated and 78 downregulated DEGs shared between the two GSE datasets were identified. Second, functional enrichment analysis showed that these DEGs are mainly involved in the B cell receptor signaling pathway, hematopoietic cell lineage, and NF-kappa B pathway. Moreover, interrelation analysis of immune system processes showed enrichment of the downregulated DEGs mainly in B cell differentiation, positive regulation of monocyte chemotaxis and positive regulation of T cell proliferation. Finally, the correlation between DEG expression and survival in MM was evaluated using the PrognoScan database. In conclusion, we identified key candidate genes that affect the outcomes of patients with MM, and these genes might serve as potential therapeutic targets.

Identification of prognostic genes in the acute myeloid leukemia immune microenvironment based on TCGA data analysis.

Acute myeloid leukemia (AML) is a common and lethal hematopoietic malignancy that is highly dependent on the bone marrow (BM) microenvironment. Infiltrating immune and stromal cells are important components of the BM microenvironment and significantly influence the progression of AML. This study aimed to elucidate the value of immune/stromal cell-associated genes for AML prognosis by integrated bioinformatics analysis. We obtained expression profiles from The Cancer Genome Atlas (TCGA) database and used the ESTIMATE algorithm to calculate immune scores and stromal scores; we then identified differentially expressed genes (DEGs) based on these scores. Overall survival analysis was applied to reveal common DEGs of prognostic value. Subsequently, we conducted a functional enrichment analysis, generated a protein-protein interaction (PPI) network and performed an interrelation analysis of immune system processes, showing that these genes are mainly associated with the immune/inflammatory response. Finally, eight genes (CD163, CYP27A1, KCNA5, PPM1J, FOLR1, IL1R2, MYOF, VSIG2) were verified to be significantly associated with AML prognosis in the Gene Expression Omnibus (GEO) database. In summary, we identified key microenvironment-related genes that affect the outcomes of AML patients and might serve as therapeutic targets.

Predictable Particle Engineering: Programming the Energy Level, Carrier Generation, and Conductivity of Core-Shell Particles.

Core-shell structures are of particular interest in the development of advanced composite materials as they can efficiently bring different components together at nanoscale. The advantage of this structure greatly relies on the crucial design of both core and shell, thus achieving an intercomponent synergistic effect. In this report, we show that decorating semiconductor nanocrystals with a boronate polymer shell can easily achieve programmable core-shell interactions. Taking ZnO and anatase TiO2 nanocrystals as inner core examples, the effective core-shell interactions can narrow the band gap of semiconductor nanocrystals, change the HOMO and LUMO levels of boronate polymer shell, and significantly improve the carrier density of core-shell particles. The hole mobility of core-shell particles can be improved by almost 9 orders of magnitude in comparison with net boronate polymer, while the conductivity of core-shell particles is at most 30-fold of nanocrystals. The particle engineering strategy is based on two driving forces: catechol-surface binding and B-N dative bonding and having a high ability to control and predict the shell thickness. Also, this approach is applicable to various inorganic nanoparticles with different components, sizes, and shapes.

Electrospun Chitosan Nanofiber Membrane for Adsorption of Cu(II) from Aqueous Solution: Fabrication, Characterization and Performance.

The preparation, characterization and application of chitosan (CS) based electrospun nanofiber membrane for the adsorptive removal of Cu(II) from water were systematically investigated. Homogeneous, porous polyvinyl alcohol (PVA)/CS nanofiber membrane with amorphous structure, and average fiber diameter of 49 nm was successfully fabricated. The adsorption of Cu(II) onto the positively charged PVA/CS nanofiber membrane (pH < 6) was due to chemisorption rather than electrostatic adherence, and was highly pH-dependent. The adsorption equilibrium of Cu(II) by the PVA/CS nanofiber was established within 120 min, which was much faster than that by CS beads, and the adsorption kinetics followed pseudo-second-order model well (r 2 > 0.995). The adsorption isotherm data were well fitted with Langmuir model, and the maximum Cu(II) adsorption capacity of PVA/CS nanofiber membrane was 90.3 mg·g-1, which was much higher than that of CS beads. The adsorbed Cu(II) formed strong inner-sphere complex with the adsorbent. Coexisting cations of iron, lead, cadmium, nickel, calcium, and magnesium have insignificant effect on the Cu(II) adsorption, indicating the adsorbent has good selectivity for Cu(II) adsorption. FTIR and XPS analysis reveal amine, hydroxyl and ether groups are responsible for the Cu(II) adsorption. This work demonstrates the electrospun PVA/CS nanofiber membrane is a promising adsorbent for heavy metal removals.

Vernodalol enhances TRAIL-induced apoptosis in diffuse large B-cell lymphoma cells.

Tumor necrosis factor (TNF)-related apoptosis-inducing ligand (TRAIL) is a potent anti-tumor agent that triggers apoptosis in cells from multiple types of carcinoma but not in normal cells. However, diverse mechanisms are associated with insensitivity to TRAIL in various cancers. TRAIL efficacy may be enhanced by combining TRAIL with a sensitizer. In this study, vernodalol, a sesquiterpene lactone, sensitized diffuse large B-cell lymphoma (DLBCL) cells to TRAIL-induced apoptosis. Vernodalol increased the expression of death receptor (DR) 5, and silencing of DR5 with a small interfering RNA (siRNA) reduced the effect of vernodalol on TRAIL-mediated apoptosis. Additionally, vernodalol up-regulated the expression of CCAAT/enhancer-binding protein (C/EBP) homologous protein (CHOP), a transcription factor. Inhibition of CHOP with a siRNA diminished DR5 expression and vernodalol-induced sensitization to the TRAIL treatment. In addition, a c-Jun N-terminal kinase (JNK) inhibitor blocked the vernodalol-induced up-regulation of DR5, indicating that the effect depended on JNK activation. Furthermore, the down-regulation of induced myeloid leukaemia cell differentiation protein (Mcl-1) played an important role in vernodalol/TRAIL-induced apoptosis, as Mcl-1 overexpression prevented this apoptotic effect. Moreover, the vernodalol/TRAIL combination inhibited tumor growth in a xenograft model. Based on our results, vernodalol enhanced TRAIL-induced apoptosis by down-regulating Mcl-1 and up-regulating DR5, and the effects of DR5 depended on JNK activation and CHOP induction. Therefore, combining TRAIL with vernodalol, a naturally occurring agent, may represent a promising therapeutic approach for DLBCL.

Acupuncture combined with methylcobalamin for the treatment of chemotherapy-induced peripheral neuropathy in patients with multiple myeloma.

BACKGROUND: Chemotherapy-induced peripheral neuropathy (CIPN) seriously affects the quality of life of patients with multiple myeloma (MM) as well as the response rate to chemotherapy. Acupuncture has a potential role in the treatment of CIPN, but at present there have been no randomized clinical research studies to analyze the effectiveness of acupuncture for the treatment of CIPN, particularly in MM patients. METHODS: The MM patients (104 individuals) who met the inclusion criteria were randomly assigned into a solely methylcobalamin therapy group (500 µg intramuscular methylcobalamin injections every other day for 20 days; ten injections) followed by 2 months of 500 µg oral methylcobalamin administration, three times per day) and an acupuncture combined with methylcobalamin (Met + Acu) group (methylcobalamin used the same way as above accompanied by three cycles of acupuncture). Of the patients, 98 out of 104 completed the treatment and follow-ups. There were 49 patients in each group. The evaluating parameters included the visual analogue scale (VAS) pain score, Functional Assessment of Cancer Therapy/Gynecologic Oncology Group-Neurotoxicity (Fact/GOG-Ntx) questionnaire scores, and electromyographic (EMG) nerve conduction velocity (NCV) determinations. We evaluated the changes of the parameters in each group before and after the therapies and made a comparison between the two groups. RESULTS: After 84 days (three cycles) of therapy, the pain was significantly alleviated in both groups, with a significantly higher decrease in the acupuncture treated group (P < 0.01). The patients' daily activity evaluated by Fact/GOG-Ntx questionnaires significantly improved in the Met + Acu group (P < 0.001). The NCV in the Met + Acu group improved significantly while amelioration in the control group was not observed. CONCLUSIONS: The present study suggests that acupuncture combined with methylcobalamin in the treatment of CIPN showed a better outcome than methylcobalamin administration alone. TRIAL REGISTRATION: China Clinical Trials Register (registration no. ChiCTR-INR-16009079 , registration date August 24, 2016).

Ginkgetin inhibits proliferation of human leukemia cells via the TNF-α signaling pathway.

Ginkgetin is known to be an anticancer agent in many studies. However, its effectiveness in treating chronic myeloid leukemia [corrected] remains unknown. The present study aimed to evaluate the effects of ginkgetin on the growth of the K562 cell line. The MTT assay was employed to examine the proliferation of K562, and a terminal deoxynucleotidyl transferase-mediated deoxyuridine triphosphate nick end labeling (TUNEL) staining was conducted to detect the apoptotic rates. Furthermore, changes of tumor necrosis factor-α (TNF-α) were detected by Western blot analysis. Ginkgetin inhibited the proliferation of K562 cells in a dose- and time-dependent manner. Concentrations of ginkgetin required to induce 50% death of K562 at 24, 48 and 72 h were 38.9, 31.3 and 19.2 µM, respectively. Moreover, treatment of ginkgetin increased K562 apoptosis in vitro along with increased levels of TNF-α. Interestingly, anti-TNF-α antibody prevented ginkgetin-induced K562 cell apoptosis and growth inhibition via deactivation of caspase-8, caspase-9 and caspase-3. Concomitantly, downregulation of TNF-α by etanercept in vivo attenuated ginkgetin-induced inhibitory effects on the tumor growth in an xenograft mouse model. Our results indicate that ginkgetin effectively inhibits K562 cell proliferation, and TNF-α plays a key role in ginkgetin-induced cell apoptosis.

Superiority of preemptive donor lymphocyte infusion based on minimal residual disease in acute leukemia patients after allogeneic hematopoietic stem cell transplantation.

BACKGROUND: Donor lymphocyte infusion (DLI) was used as salvage therapy in leukemia relapse after allogeneic hematopoietic stem cell transplantation (allo-HSCT), but existing results on DLI administration to acute leukemia patients were disappointing. Although increasing minimal residual disease (MRD) after HSCT had been proven to be highly indicative of posttransplant relapse, preemptive DLI (pDLI) based on MRD has not been well evaluated. STUDY DESIGN AND METHODS: We retrospectively analyzed 70 acute leukemia patients after allo-HSCT in our center between January 2005 and December 2010. Sixteen patients received pDLIs based on increasing MRD results (pDLI group), and 11 relapsed patients received therapeutic DLIs with or without chemotherapy (tDLI group). Donor lymphocytes were collected from the original donors without stimulation and infused without further manipulation. The median mononuclear cell doses and CD3+ cell doses were 1.49 × 10(8) and 5.51 × 10(7) /kg. Forty-three patients who did not receive pDLI therapy after detecting increasing MRD (no pDLI group) were also included as a comparison. RESULTS: The response rate was 100% in the pDLI group, whereas it was 63.6% in the tDLI group (p=0.019). Survival outcomes were superior in the pDLI group compared with the tDLI group (χ(2) = 14.624, p=0.000); estimated overall survival (OS) at 1 year was 93.8% with pDLI and 27.3% with tDLI. The incidence of overall acute graft-versus-host disease (aGVHD) and Grade III to IV aGVHD was higher in the pDLI group but with no significance. Patients in the "no pDLI" group showed an inferior prognosis with 1-year OS at 65.1% (95% confidence interval, 50.8%-79.4%). CONCLUSION: Our results demonstrated the efficacy and safety of pDLI and suggested that pDLI based on MRD monitoring was superior in acute leukemia patients with potential progression compared with salvage DLI administrated in overt relapse.

Identification and dynamic monitoring of electrospinning jet assisted by coaxial laser.

The accurate and rapid detection and recognition of jet features are key to dynamic monitoring and online control of the electrospinning process. In this study, a real-time recognition system based on OpenCV was introduced into a coaxial laser-assisted electrospinning system to solve the difficulties of accurate jet recognition and to promote an image processing algorithm response. The jet images with laser assistance were more clearly visible than those without laser assistance, and a significant contrast in grayscale levels existed in the jet image to help distinguish jet features. Subsequently, separate algorithms were designed for the jet visible length calculation, and the recognized visible length of the jet and algorithm running speed were compared. The average visible length of the jet with laser assistance was 11.49 mm, which increased by 1.59 mm compared to that without laser assistance. In addition, the running time of the algorithm with laser assistance was 24.89 ms, reduced by 14.84 ms compared to that without laser assistance, indicating the effectiveness of laser assistance to promote the accuracy and running speed of the jet image recognition process. Additionally, real-time detection of the jet angles was achieved to identify instances of excessive deflection during the electrospinning process. Overall, this study has significant potential to promote the dynamic monitoring of an electrospinning jet.

Ethyl cellulose/gelatin/ß-cyclodextrin/curcumin nanofibrous membrane with antibacterial and formaldehyde adsorbable capabilities for lightweight and high-performance air filtration.

Functionalization of bio-based nanofibers is the development tendency of high-performance air filter. However, the conventional structural optimization strategy based on high solution conductivity greatly hinders the development of fully bio-based air filter, and not conducive to sustainable development. This work fabricated fully bio-based nanofibrous membrane with formaldehyde-adsorbable and antibacterial capabilities by electrospinning low-conductivity solution for high-performance air filtration and applied to lightweight mask. The "water-like" ethyl cellulose (EC) was selected as the base polymer to "nourish" functional materials of gelatin (GE), ß-cyclodextrin (ßCD), and curcumin (Cur), thus forming a solution system with high binding energy differences and electrospinning into ultrafine bimodal nanofibers. The filtration efficiency for 0.3 µm NaCl particles, pressure drop, and quality factor were 99.25 %, 53 Pa, and 0.092 Pa-1, respectively; the bacteriostatic rates against Escherichia coli and Staphylococcus aureus were 99.9 % and 99.4 %, respectively; the formaldehyde adsorption capacity was 442 µg/g. This is the first report on antibacterial and formaldehyde-adsorbable high-performance air filter entirely made from bio-based materials. This simple strategy will greatly broaden the selection of materials for preparing high-performance multifunctional air filter, and promote the development of bio-based air filter.

Radial magnetic resonance image reconstruction with a deep unrolled projected fast iterative soft-thresholding network.

Radially sampling of magnetic resonance imaging (MRI) is an effective way to accelerate the imaging. How to preserve the image details in reconstruction is always challenging. In this work, a deep unrolled neural network is designed to emulate the iterative sparse image reconstruction process of a projected fast soft-threshold algorithm (pFISTA). The proposed method, an unrolled pFISTA network for Deep Radial MRI (pFISTA-DR), include the preprocessing module to refine coil sensitivity maps and initial reconstructed image, the learnable convolution filters to extract image feature maps, and adaptive threshold to robustly remove image artifacts. Experimental results show that, among the compared methods, pFISTA-DR provides the best reconstruction and achieved the highest PSNR, the highest SSIM and the lowest reconstruction errors.

Preparation of ethyl cellulose bimodal nanofibrous membrane by green electrospinning based on molecular weight regulation for high-performance air filtration.

Preparing bio-based air filtration membrane through green electrospinning strategy is a vital approach to alleviating environmental and energy crises. However, the development of related biomaterials and method for regulating membrane structure are still lacking. In this study, ethyl cellulose (EC) bimodal nanofibrous membrane was prepared by electrospinning using ethanol and water as solvents to achieve high-performance air filtration. A new strategy for bimodal fiber molding based on molecular weight modulation was proposed. The EC polymer chains with medium molecular weights were subject to the highest degree of inhomogeneity of solvent intrusion, and there were significant differences in viscous forces "microscopically", leading to the formation of bimodal structure by inhomogeneous stretching of the jet. The well-defined bimodal structure endowed EC membrane with excellent air filtration performance. The filtration efficiency for PM0.3, pressure drop, quality factor were 99.11 %, 42.2 Pa, and 0.112 Pa-1, respectively. Compared to the commonly used zein, EC cost just 12.77 %, and its solution had a 50 % longer shelf life, making it a more desirable biomaterial. This work will facilitate the application of more biomaterials in air filtration, promote the green fabrication of high-performance air filtration membranes, and realize sustainable development.

A Dual-Mode Pressure and Temperature Sensor.

The emerging field of flexible tactile sensing systems, equipped with multi-physical tactile sensing capabilities, holds vast potential across diverse domains such as medical monitoring, robotics, and human-computer interaction. In response to the prevailing challenges associated with the limited integration and sensitivity of flexible tactile sensors, this paper introduces a versatile tactile sensing system capable of concurrently monitoring temperature and pressure. The temperature sensor employs carbon nanotube/graphene conductive paste as its sensitive material, while the pressure sensor integrates an ionic gel containing boron nitride as its sensitive layer. Through the application of cost-effective screen printing technology, we have successfully manufactured a flexible dual-mode sensor with exceptional performance, featuring high sensitivity (804.27 kPa-1), a broad response range (50 kPa), rapid response time (17 ms), and relaxation time (34 ms), alongside exceptional durability over 5000 cycles. Furthermore, the resistance temperature coefficient of the sensor within the temperature range of 12.5 °C to 93.7 °C is -0.17% °C-1. The designed flexible dual-mode tactile sensing system enables the real-time detection of pressure and temperature information, presenting an innovative approach to electronic skin with multi-physical tactile sensing capabilities.