Due to the low efficiency of traditional sewage treatment methods, the effective removal of zwitterionic fluoroquinolone (FQs) antibiotics is of vital significant for environment protection. In this ...work, a SO3H-anchored covalent organic framework (TpPa-SO3H) was deliberately designed by linking phenolic trialdehyde with triamine through Schiff reaction, then low-content Tb3+ ions were loaded onto covalent organic framework according to wet-chemistry immersion dispersion method which benefitting for efficient FQs antibiotics uptaking. Tb@TpPa-SO3H functionalized with regularly distributed sulfonic acid groups and terbium ions which could provide difunctional binding sites. Tb3+ sites could capture carboxylic acid group of FQs molecules according to the complexes coordination effect and sulfonic acid sites play a significant role in the adsorption of FQs molecules through electrostatic interaction with amine group. Tb@TpPa-SO3H with dual complementary function sites exhibited ultra-fast adsorption kinetics (< 2 min, average over 99% removing rate) and high adsorption capacities of 989, 956, and 998 mg g−1 for Norfloxacin (NOR), ciprofloxacin (CIP), enrofloxacin (ENR), respectively. Furthermore, Tb@TpPa-SO3H showed excellent selectivity for the adsorption of FQs in tanglesome system. This work not only explored synergistic adsorption in ion-functionalized 2D covalent organic framework with dual binding sites, but also delineated a promising strategy for the elimination of organic pollutants in environmental remediation.
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•A difunctional Covalent Organic Framework Hybrid Material was prepared for efficient uptake of fluoroquinolone antibiotics.•Difunctional Tb@TpPa-SO3H exhibits outstanding adsorption capacity and short adsorption equilibrium time for FQs.•Tb@TpPa-SO3H shows excellent selectivity for the adsorption of FQs in tanglesome systems.•Plausible FQs adsorbed mechanisms were coordination with metal and electrostatic interaction.
•A distributionally robust model is built for parallel machine scheduling.•The uncertainty of estimated moments is considered in the formulation.•The min-max formulation is reduced to an integer ...second-order cone program.•An exact algorithm is designed to solve the problem efficiently.•Our model withstands the estimation bias and enhances the robustness of schedules.
This paper investigates a distributionally robust scheduling problem on identical parallel machines, where job processing times are stochastic without any exact distributional form. Based on a distributional set specified by the support and estimated moments information, we present a min-max distributionally robust model, which minimizes the worst-case expected total flow time out of all probability distributions in this set. Our model doesn’t require exact probability distributions which are the basis for many stochastic programming models, and utilizes more information compared to the interval-based robust optimization models. Although this problem originates from the manufacturing environment, it can be applied to many other fields when the machines and jobs are endowed with different meanings. By optimizing the inner maximization subproblem, the min-max formulation is reduced to an integer second-order cone program. We propose an exact algorithm to solve this problem via exploring all the solutions that satisfy the necessary optimality conditions. Computational experiments demonstrate the high efficiency of this algorithm since problem instances with 100 jobs are optimized in a few seconds. In addition, simulation results convincingly show that the proposed distributionally robust model can hedge against the bias of estimated moments and enhance the robustness of production systems.
Heavy metal ion pollution has threatened environmental and human safety. Therefore, there is a remarkable demand to detect heavy metal ions in a fast, sensitive, and selective way. Although ...conventional sensors have been designed and widely applied in heavy metal ion determination, they present many limitations and challenges. Graphene-based nanotechnology overcomes these challenges and endows the sensing platform a better performance. In this overview, studies concerning graphene-based optical nanosensors for heavy metal ion detection have been summarized, paying special attention to sensors based on graphene, graphene oxide, and graphene quantum dots. In addition, the prospects and developing trends of nanosensors for heavy metal ion analysis are also proposed.
•Graphene-based hybridized nanocomposites for metal ion optical detection were reviewed.•Graphene or GO as fluorescence probes for heavy metal ion detection was summarized.•Graphene or GO as the fluorescence quencher for heavy metal ion analysis was described.•Applications of GQD and CD probes in heavy metal ion sensing were discussed.
The sense of it: A new type of rapid, sensitive, and specific photoluminescence (PL)‐based assay has been proposed for the detection of phosphate (Pi) based on the competition of oxygen‐donor atoms ...from Pi with those from the carboxylate groups on a graphene‐quantum‐dot (GQD) surface for Eu3+ ions (see scheme). The graphene‐like structures combined with QD‐like optical properties suggest the promising nature of the GQDs as versatile tools in the fields of analytical science and biotechnology.
Commentary: New era, old challenge Ding, Jian-Yong
Journal of thoracic and cardiovascular surgery/The Journal of thoracic and cardiovascular surgery/The journal of thoracic and cardiovascular surgery,
01/2021, Volume:
161, Issue:
1
Journal Article
The molecular mechanisms underlying estrogen receptor (ER)‐positive breast carcinogenesis and endocrine therapy resistance remain incompletely understood. Here, we report that circPVT1, a circular ...RNA generated from the lncRNA PVT1, is highly expressed in ERα‐positive breast cancer cell lines and tumor samples and is functionally important in promoting ERα‐positive breast tumorigenesis and endocrine therapy resistance. CircPVT1 acts as a competing endogenous RNA (ceRNA) to sponge miR‐181a‐2‐3p, promoting the expression of ESR1 and downstream ERα‐target genes and breast cancer cell growth. Furthermore, circPVT1 directly interacts with MAVS protein to disrupt the RIGI–MAVS complex formation, inhibiting type I interferon (IFN) signaling pathway and anti‐tumor immunity. Anti‐sense oligonucleotide (ASO)‐targeting circPVT1 inhibits ERα‐positive breast cancer cell and tumor growth, re‐sensitizing tamoxifen‐resistant ERα‐positive breast cancer cells to tamoxifen treatment. Taken together, our data demonstrated that circPVT1 can work through both ceRNA and protein scaffolding mechanisms to promote cancer. Thus, circPVT1 may serve as a diagnostic biomarker and therapeutic target for ERα‐positive breast cancer in the clinic.
Synopsis
Estrogen receptor (ER)α, encoded by ESR1, promotes mammary malignancies and is targeted in cancer therapy; however, resistance arises frequently. This study reports a novel circRNA, termed circPVT1, with dual mechanisms to enhance ER‐positive breast tumorigenesis, suggesting therapeutic opportunities.
CircPVT1 is highly expressed in ERα‐positive breast tumor patients.
CircPVT1 sponges miR‐181a‐2‐3p to stabilize ESR1 mRNA, activating the expression of estrogen/ERα‐target genes.
CircPVT1 interacts with MAVS protein to disrupt RIGI–MAVS complex formation, repressing the expression of type I IFN and interferon‐stimulated genes.
ASO‐targeting circPVT1 suppresses ERα‐positive breast cancer cell and tumor growth.
Circular RNA circPVT1 has dual function in aggravating ER+ mammary gland malignancies.
Background Although success was achieved in the therapy for a minority of advanced lung adenocarcinoma (LUAD) patients, anti-programmed death 1 (PD1) resistance was found in most LUAD patients. Here, ...we aimed to uncover a potential role of exosomal circular RNAs (circRNAs) in LUAD refractory to PD1 blockade. Methods circRNA sequencing and qRT-PCR were performed to determine the level of exosomal circRNAs in LUAD patients subsequently treated with anti-PD1. Then, the RNA pulldown, RNA immunoprecipitation, mass spectrometry, chromatin immunoprecipitation, luciferase reporter assays, flow cytometry, RNA sequencing, and in vitro and in vivo models were used to uncover the biological functions and underlying mechanism of circZNF451 in LUAD anti-PD1 treatment resistance. Results circRNA sequencing and qRT-PCR identified the up-regulation of exosomal circZNF451 from LUAD patients with progressive disease (PD) compared to those with partial remission (PR) after PD1 blockade therapy. Furthermore, elevated circZNF451 was revealed to be associated with poor prognosis of LUAD patients. Additionally, exosomal circZNF451 was demonstrated to induce an anti-inflammatory phenotype in macrophages and exhaustion of cytotoxic CD8.sup.+ T cells, and enhanced TRIM56-mediated degradation of FXR1 to activate the ELF4-IRF4 pathway in macrophages. By transgenic mice, knockout of ELF4 in macrophages was found to rescue immunotherapy efficacy in tumors with high level of exosomal circZNF451. Conclusion Exosomal circZNF451 reshapes the tumor immune microenvironment by inducing macrophages polarization via the FXR1- ELF4-IRF4 axis and is a novel biomarker for predicting the sensitivity of PD1 blockade in LUAD. Keywords: Lung adenocarcinoma, PD1 blockade resistance, Exosomal circRNA, Immunotherapy
We reported here a method to enhance detection sensitivity in surface plasmon resonance (SPR) spectroscopy integrated with a surface molecular imprinting recognition system and employing magnetic ...molecular imprinting polymer nanoparticles for amplifying SPR response. The proposed magnetic molecular imprinting polymer was designed by self-polymerization of dopamine on the Fe3O4 NPs surface in weak base aqueous solution in the presence of template chlorpyrifos (CPF). The imprinted Fe3O4@polydopamine nanoparticles (Fe3O4@PDA NPs) were characterized by Fourier transform infrared spectroscopy, UV–vis absorption spectroscopy, and transmission electron microscopy. The biosensor showed a good linear relationship between the SPR angle shift and the chlorpyrifos concentration over a range from 0.001 to 10 μM with a detection limit of 0.76 nM. A significant increase in sensitivity was therefore afforded through the use of imprinted Fe3O4@PDA NPs as an amplifier, and meanwhile, the imprinted Fe3O4@PDA NPs had an excellent recognition capacity to chlorpyrifos over other pesticides. The excellent sensitivity and selectivity and high stability of the designed biosensor make this magnetic imprinted Fe3O4@PDA NP an attractive recognition element for various SPR sensors for detecting pesticide residuals and other environmentally deleterious chemicals.
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•Triformylphloroglucinol and thiosemicarbazide as precursors for synthesizing TpTsc.•TpTsc with excellent adsorption capacity of gold shows higher than most adsorbents.•Dual functions ...of adsorption and reduction enhance gold adsorption capacity of TpTsc.•TpTsc can selectively extract gold from real electronic waste liquids.
Recovering precious metals from electronic equipment waste involves significant environmental and economic benefits. In this paper, a covalent organic framework, named as TpTsc COF, was synthesized by using flexible alkyl amine thiosemicarbazide (Tsc) and 1,3,5-triformylphloroglucinol (Tp) as precursors for extracting gold from actual electronic waste. The results show that it has favorable selectivity, high recycling and groundbreaking adsorption capacity (4400.23 mg g−1). Such excellent adsorption capacity can be attributed to the improved crystallinity by irreversible enol-to-tautomerism of Tp, the abundant functional group sites in Tsc, and the efficient reduction of gold by thiourea. The adsorption process can be well fitted with the pseudo-second-order kinetic model and Langmuir mode, which is characterized by the coordination between Au (III) and S, N, O atoms in COF, as well as the electrostatic interaction between protonated amino groups and AuCl4− in acidic system. The advantages of this feasible method facilitate effective gold recovery from low-cost electronic waste.
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