Grave’s disease (GD) occurs due to an autoimmune dysfunction of thyroid gland cells, leading to manifestations consistent with hyperthyroidism. Various studies have confirmed the link between autoimmune conditions and changes in the composition of intestinal microbial organisms. However, few studies have assessed the relationship between the disease of GD and the changes of intestinal microbiota. Therefore, this study aimed to investigate changes in intestinal flora that may occur in the setting of GD. Thirty-nine patients with GD and 17 healthy controls were enrolled for fecal sample collection. 16S rRNA sequencing was used to analysis the diversity and composition of the intestinal microbiota. High-throughput sequencing of 16S rRNA genes of intestinal flora was performed on Illumina Hiseq2500 platform. Comparing to healthy individuals, the number of Bacilli, Lactobacillales, Prevotella, Megamonas and Veillonella strains were increased, whereas the number of Ruminococcus, Rikenellaceae and Alistipes strains were decreased among patients with GD. Furthermore, patients with GD showed a decrease in intestinal microbial diversity. Therefore, it indicates that the diversity of microbial strains is significantly deduced in GD patients, and patients with GD will undergo significant changes in intestinal microbiota, by comparing the intestinal flora of GD and healthy controls. Theses conclusion are expected to provide a preliminary reference for further researches on the interaction mechanism between intestinal flora and GD.

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A multi-residue analytical method was validated for 24 representative pesticides residues in onion, garlic and leek. The method is based on modified QuEChERS sample preparation with a mixture of graphene, primary secondary amine (PSA), and graphitised carbon black (GCB) as reversed-dispersive solid-phase extraction (r-DSPE) material and LC-MS/MS. Graphene was first used as an r-DSPE clean-up sorbent in onion, garlic and leek. The results first show that the mixed sorbent of graphene, PSA and GCB has a remarkable ability to clean-up interfering substances in the r-DSPE procedure when compared with the mixture of PSA and GCB. Use of matrix-matched standards provided acceptable results for tested pesticides with overall average recoveries between 70.1% and 109.7% and consistent RSDs <15.6%. In any case, this method still meets the 1-10 μg kg(-1) detection limit needed for pesticide testing and may be used for qualitative screening applications in which any identified pesticides can be quantified and confirmed by a more intensive method that achieves >70% recovery.

Two-dimensional SnS2 nanobelt arrays vertically grown on two-dimensional CuSbS2 nanosheets (2D SnS2⟂2D CuSbS2) heterostructures were synthesized through a facile solution-phase growth route. The resultant SnS2⟂CuSbS2 heterostructures showed enhanced photocatalytic activity for CO2...

Based on the targeting of ferroferric oxide (Fe 3 O 4 ) and the drug-loading property of carbon nanotubes (CNTs), a novel Span-PEG-composited Fe 3 O 4 −CNTs− DOX multifunctional ultrasound contrast agent was designed and applied to tumor lesions. In situ liquid phase synthesis was employed to prepare the Fe 3 O 4 −CNTs magnetic targeting complex, and the physical method was used to obtain the Fe 3 O 4 −CNTs−DOX complex by loading doxorubicin (DOX) onto Fe 3 O 4 −CNTs. The targeted drug-loading complex Fe 3 O 4 −CNTs−DOX was combined with the membrane material of Span-PEG by the acoustic vibration cavitation method. The maximum tolerance for Span-PEG-composited Fe 3 O 4 −CNTs−DOX microbubbles was 450 times higher, which has good safety. The loading rate of DOX in the obtained composite microbubbles was 17.02%. The proliferation inhibition rate of Span-PEG-composited Fe 3 O 4 −CNTs−DOX microbubbles on liver cancer SMMC-7721 cells reached 48.3%. Span-PEG-composited Fe 3 O 4 −CNTs−DOX microbubbles could significantly enhance ultrasonic imaging and enrich at a specific location under an external magnetic field, and the extended imaging time could ensure the effective observation and diagnosis of lesions.