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51.
52.
Jee Hyun Ham Han Yi Mun Kyung Sunwoo Jin Yong Hong Young H. Sohn Phil Hyu Lee 《Journal of neurology》2014,261(8):1628-1635
Cerebral microbleeds (CMBs) are known to be associated with cognitive impairments in the elderly and in patients with various diseases; however, the nature of this association has not yet been evaluated in Parkinson’s disease (PD). In the present study, we analyzed the incidence of CMBs in PD according to cognitive status, and the impact of CMBs on cognitive performance was also evaluated. The CMBs in PD with dementia (n = 36), mild cognitive impairment (MCI, n = 46), or cognitively normal (n = 41) were analyzed using conventional T2*-weighted gradient-recalled echo images. Additionally, the relationship between the presence of CMBs and cognitive performance on individual tests of cognitive subdomains was analyzed using a detailed neuropsychological test. CMBs occurred more frequently in PD patients with dementia (36.1 %) compared to those with MCI (15.2 %), those who are cognitively normal (14.6 %), and normal controls (12.2 %, p = 0.025). However, the significant association of CMBs with PD dementia disappeared after adjusting white matter hyperintensities (WMHs) as a covariate. The frequencies of deep, lobar, and infratentorial CMBs did not differ among the four groups. After adjusting for age, sex, years of education, and WMHs, PD patients with CMBs had poorer performance in attention domain compared with those without CMBs (34.9 vs 42.6, p = 0.018). The present data demonstrate that even though CMBs were inseparably associated with the presence of WMHs, CMBs occur more commonly in PD patients with dementia than in those without dementia. Additionally, the burden of CMBs may contribute to further cognitive impairment in PD. 相似文献
53.
Sunmin Park Chung-Yill Park Jung-O Ham Byung-Kook Lee 《Journal of bone and mineral metabolism》2014,32(4):455-467
We examined familial bone mineral density (BMD) interactions between parents and children and lifestyle factors affecting BMD in the Korean general population of children under 20 and parents under 50 years of age. This cross-sectional study included 2,453 participants (667 daughters, 705 sons, 719 mothers, and 362 fathers) in the 2009–2010 Korean National Health and Nutrition Examination Survey. We calculated prevalence ratios and 95 % confidence intervals for BMD values of whole femur, femur neck, lumbar spine, and whole body excluding the head being in the low tertile in adolescents according to parental BMD tertile after adjusting for physical, lifestyle, and dietary factors. For daughters and sons, there were significant differences in BMD at the four bone sites according to age group, body fat percentage, regular walking and exercise, and milk consumption compared to the reference value for each classification category. Surprisingly, there were no differences in BMD according to serum 25-OH-D levels. Birth order affected BMD of only whole body except head, but its impact was less than that of lifestyle factors. The mean differences in BMD between daughters and sons in the first and third parental BMD tertiles were statistically significant. Notably, the prevalence ratio of whole body without head BMD being in the low tertile increased eight and ten-folds in adolescent daughters and sons, respectively, when parents were in the low BMD tertile. In specific bone regions, parental BMD had a greater effect on total femur in daughters but in the lumbar spine in sons. In conclusion, parental BMD positively influences BMD in daughters and sons after adjustment for environmental parameters. This suggests that the children from parents with low BMD need to make an extra effort to increase BMD through dietary and lifestyle changes. 相似文献
54.
Suh Min Kim Younggyun Lim Sangil Min Byung-Joo Min Myung-Eui Seo Kye Hwa Lee Ju Han Kim Jongwon Ha 《Journal of Korean medical science》2022,37(5)
BackgroundTacrolimus is the most commonly used immunosuppressive drug in solid organ transplantation. After administering a conventional twice-daily dose of tacrolimus, peak levels were achieved within the first 1.5 to 2 hours. A group of patients showed different early absorption phase of tacrolimus after kidney transplantation.MethodsTrough(C0) and 1.5-hour blood levels (C1.5) of tacrolimus were measured in 95 kidney transplantation recipients. Patients with a C1.5/C0 < 1.5 and > 1.5 were defined as those having flat pattern peaks and as controls, respectively. Transplantation outcomes were compared between the groups. Whole exome sequencing was performed to investigate the genetic susceptibility to flat pattern peaks.ResultsTwenty-eight patients showed flat pattern peaks. The mean C1.5/C0 values were 1.13 ± 0.22 and 3.78 ± 1.25 in the flat pattern peak and control groups, respectively. In multivariate analysis, flat pattern peak was an independent risk factor for biopsy-proven acute rejection (BPAR) and/or borderline change (P = 0.014). Patients having flat pattern peaks showed significantly lower post-transplant 36-month estimated glomerular filtration rate (P = 0.001). Two single nucleotide variants in ABCB1 genes, rs1922242 and rs2235035, were associated with flat pattern peaks (P = 0.019 and P = 0.027, respectively).ConclusionBoth of C1.5 and C0 should be measured to distinguish the patients showing unique initial absorption. A C1.5/C0 ratio lower than 1.5 was associated with an increased risk of BPAR and/or borderline change. Single nucleotide variants s in ABCB1 gene might influence the flat pattern peaks of tacrolimus absorption. 相似文献
55.
Takayuki Kojima Yuki Nakaya Hyungwon Ham Satoshi Kameoka Shinya Furukawa 《RSC advances》2021,11(29):18074
Although intermetallic compounds are attracting attention of catalysis researchers, ternary intermetallic catalysts have scarcely been investigated due the difficulty of synthesizing supported nanoparticles. In this study, we successfully synthesized SiO2 supported Co2FeGe Heuslar alloy nanoparticles. This catalyst exhibited high catalytic performance for selective hydrogenation of propyne by nano-sizing.Supported nanoparticles of Co2FeGe Heusler alloy were successfully synthesized. The reaction rate per weight was increased 2000 times by nano-sizing.An alloy is a solid mixture of two or more metallic elements. It is typically categorized into a solid solution and an intermetallic compound. In the former, different metal atoms randomly occupy lattice points, and the available range of chemical compositions is wide. In the latter, different metal atoms occupy specific lattice points, forming an ordered structure, and chemical compositions available are restricted to integer ratios. Thus, intermetallic compounds have unique electronic structures and unique atomic ordered surfaces, which are completely different from those of pure metals and solid solutions, resulting in novel catalytic properties.1–6Along with a recent increasing interest in intermetallic catalysts, many binary compounds have been investigated as catalysts thus far; however, ternary compounds have scarcely been reported as catalysts. The number of possible elemental sets forming intermetallic compounds is much larger in ternary systems than binary ones.7 In addition, novel properties originating from synergy among different elements are more likely in ternary than binary systems; for example, in the La(Co or Ru)Si catalyst for ammonia synthesis, the hydrogen storage ability, the electride property, and the electron transfer from La to the active element (Co or Ru) are believed to play key roles.8,9 Therefore, the discovery of various new catalysts is expected in ternary systems.Heusler alloys are a group of ternary intermetallic compounds described by X2YZ with L21 structure (body-centered cubic basis) typically consisting of 8–12, 3–8, and 13–15 group elements for X, Y, and Z, respectively. This intermetallic group is popular as magnetic, thermoelectric, shape memory and topological materials while we have opened its new function as catalysts.10–14 For selective hydrogenation of alkynes, Co2FeGe Heusler alloy showed intrinsically high alkene selectivity; that is, it selectively hydrogenated alkynes but hardly hydrogenated alkenes even for hydrogenation of alkene reactants without alkynes.11 In addition, the systematic control of catalytic properties by elemental substitution (Co2MnxFe1−xGayGe1−y) was demonstrated. However, these catalysts were unsupported micron-sized powders with low surface areas (<0.1 m2 g−1) synthesized by metallurgical process (arc melting, annealing, crushing), which were far from being of practical use. Thus, synthesis of Co2FeGe nanoparticles on solid supports, the standard form of catalysts assuring high activity per material cost, is desired.To synthesize supported intermetallic nanoparticles, much effort is required to optimize the synthesis conditions, especially in ternary systems. For Heusler alloys, supported nanoparticles with sufficient quality (small average size with sharp distribution of sizes, small second phases, ordering into L21 structure) have been reported only for Co2FeGa15–18 and Cu2NiSn,19 the former of which was not for catalysts but mainly for magnetic materials. Thus, synthesizing supported Co2FeGe nanoparticles with excellent catalytic properties for selective hydrogenation of alkynes is challenging. Nevertheless, we have achieved the synthesis of a variety of supported intermetallic nanoparticles,4,6 including those using three elements; for example, Pt3Fe1−xMx (M = Co, Ni, Cu, Zn, Ga, In, Sn, Pb)20 and PtGa with deposition of Pb, In, or Sn.21In what follows, we report the synthesis of SiO2 supported Co2FeGe nanoparticles and its catalytic properties for selective hydrogenation of propyne (C3H4). The Co-based catalysts were prepared by the pore-filling (co-)impregnation method using SiO2 as the support. Co(NO3)3·6H2O (Wako, 98%), Fe(NO3)3·9H2O (Sigma-Aldrich, 98%), (NH4)2GeF6 (Aldrich, 99.9%) were used as the metal precursors, and the Co loading was adjusted at 3 wt%. The metal precursors were precisely weighed and dissolved together in deionized water so that the Co : Fe : Ge atomic ratio was 1.8 : 1 : 1. A mixed aqueous solution of metal precursors was added dropwise to ground dried silica gel (CARiACT G-6, Fuji Silysia, SBET = 673 m2 g−1) so that the solutions just filled the pores of the silica gel (volume of solution: 1.6 mL per gram of silica). The mixtures were sealed with a piece of plastic film and kept overnight at room temperature, followed by freeze-drying under vacuum at 0 °C and further drying overnight in an oven at 90 °C. The resulting powder was calcined in air at 500 °C for 1 h, then reduced under flowing H2 (0.1 MPa, 50 mL min−1) at 800 °C for 1 h. Fig. 1 shows the powder X-ray diffraction (XRD) (Rigaku Ultima IV) pattern for the synthesized Co2FeGe/SiO2. Although tiny peaks of another phase (possibly CoGe) were detected by peak fitting, as shown in Fig. 1c and d, all visible peaks in Fig. 1a and b are assigned to Co2FeGe Heusler phase (L21 structure). The peaks were broad, indicating the formation of nano-sized grains. The volume-weighted average grain size (dXRD) was roughly estimated to be 13 nm from the full width at half maximum (FWHM) of the 220 peak using the Scherrer equation:dXRD = Kλ/W cos θ1where K, λ, and W are the Scherrer constant, a wavelength, and a peak width, respectively; and 8/3π and FWHM were respectively adopted as K and W based on the assumption of spherical crystallites with lognormal size distribution.22 111 and 200 superlattice peaks were certainly observed, meaning the formation of the ordered structure. These peaks are essentially very weak, because their intensities (I) are proportional to the square of the difference in the atomic scattering factors (F) of constituents, which are basically proportional to atomic numbers (I111 ∝ |FFe − FGe|2, I200 ∝ |FCo − (FFe + FGe)/2|2). Considering the anomalous scattering factors,23 the Debye–Waller factors,24,25 the multiplicity factor, and the Lorentz-polarization factor, I111/I220 = 0.007 and I200/I220 = 0.004 are derived for the perfectly ordered case. The broadening also makes it difficult to detect the superlattice peaks. Thus, the detection of the superlattice peaks indicates that the L21-ordered structure correctly formed even in nanograins. The degree of long-range order for Heusler alloys is evaluated typically by Webster''s model using S and α10,26,27 as23where I200, I111, and Ifund are integrated intensities of 200 and 111 superlattice peaks, and a fundamental peak, respectively, and “exp” and “cal” respectively, means an experimental value and a calculated one for the perfectly ordered case. S corresponds to the long-range order parameter for binary alloys,28 here describing the order between Co and Fe or Ge atoms (0 ≤ S ≤ 1); α describes the disorder between Fe and Ge atoms (0 ≤ α ≤ 0.5); thus, S = 1 with α = 0 means the perfect order. Although accurate evaluation of I200 and I111 was difficult because of too small an intensity, S and α were roughly estimated to be 0.8 and 0.0, respectively, when using the fitted data in Fig. 1c. Thus, the degree of long-range order was likely high.Open in a separate windowFig. 1XRD patterns for Co2FeGe/SiO2 (a) around superlattice peaks, (b) around fundamental peaks, (c) around superlattice peaks with fitting, and (d) around 220 peak with fitting. All peaks were normalized by integrated intensity of 220 peak. Green vertical lines in (a and b) show peak positions observed for unsupported Co2FeGe powders. Blue dashed lines and red solid lines in (c and d) show backgrounds and sum of fitting lines, respectively. Inset of (c) displays magnification around 200 peak with fitting lines for 200 peak (green) and for second phase peak (orange) possibly originating from intermetallic CoGe phase, which also has a peak (orange) nearby 220 peak (green) in (d). Fitting was done using pseudo-Voigt function for peaks and polynomial function for backgrounds. Fig. 2a shows the image obtained by high-resolution high-angle annular dark field scanning transmission electron microscopy (HAADF-STEM) (FEI Titan G2). Brighter particles with relatively uniform diameters below about 30 nm are observed on darker skeletal matter, which indicates that Co2FeGe nanoparticles are relatively homogeneously distributed on SiO2 supports. The diameters of the brighter particles were counted, as shown in Fig. 2b. The size distribution was relatively narrow. The volume-weighted average diameter (dTEM) was estimated to be 23.0 ± 5.3 nm bydTEM = Σnidi4/Σnidi34where ni is the number of particles with the diameter di in Fig. 2b.20,21Fig. 2c–f show elemental maps obtained by energy-dispersive X-ray (EDX) analysis. Co, Fe, and Ge were detected in the same regions, in which the brighter particles were observed in Fig. 2a. The quantitative analysis for the particle represented in Fig. 2g revealed that the chemical composition among Co, Fe, and Ge followed the precursor ratio and was close to the stoichiometry, as shown in Fig. 2h. These XRD and HAADF-STEM results clearly indicate the success of synthesizing Co2FeGe nanoparticles on SiO2 supports of sufficient quality.Open in a separate windowFig. 2Analysis by HAADF-STEM with EDX for Co2FeGe/SiO2: (a) HAADF-STEM image, (b) histogram of diameter for bright particles in (a), elemental maps for (c) Co, (d) Fe, and (e) Ge, (f) superimposed elemental map, (g) magnified elemental map, and (h) chemical composition in area marked by yellow circle in (g). In (h) bars display observed values and points indicate nominal values estimated from precursor ratio.The Co2FeGe/SiO2 was tested for catalytic reaction of the C3H4 hydrogenation using a standard flow reactor (see ref. 11 for details). Thirty mg of the catalyst was heated under H2 gas flow at 800 °C for 1 h to remove surface oxides; then, feeding of a gaseous mixture of [0.1% C3H4/40% H2/He balance] began at ambient temperature and pressure at 30 mL min−1 (20 °C, 0.1 MPa) (space velocity: about 40 000 h−1). The products were analyzed by gas chromatography (Agilent 490 Micro GC with PoraPLOT Q column) after waiting 30 min at each temperature. The conversion of C3H4 and the selectivity of products were estimated by56where Cfeed, Cunreact, CC3H6, and CC3H8 were the concentrations of the feed C3H4, the unreacted C3H4, the produced C3H6, and the produced C3H8, respectively. Clost is the concentration of carbon species lost due to oligomerization or coking, which is estimated by Clost = Cfeed − Cunreact − CC3H6 − CC3H8. Fig. 3a shows the results of the catalytic test. The carbon lost was negligible. The C3H6 selectivity was as high as over 70% even when the C3H4 conversion was 100%. In general, strong adsorption of C3H4 prevents re-adsorption of C3H6, which suppresses the further hydrogenation of C3H6, resulting in high C3H6 selectivity when the C3H4 conversion is below 100%. Once all C3H4 is consumed, C3H6 is quickly hydrogenated; thus, the C3H6 selectivity drastically decreases once the C3H4 conversion achieves 100% in most catalysts, including pure metals29,30 and Co2FeGa11 (Fig. S1a and b†). Therefore, the Co2FeGe/SiO2 synthesized here has an intrinsic selectivity for C3H6 as well as the unsupported Co2FeGe powders synthesized metallurgically, the C3H6 selectivity of which was over 90% even when the C3H4 conversion was 100% (Fig. S2†).11 The reaction rate per weight of Co used was significantly enhanced up to as much as 2000 times by nano-sizing compared with the unsupported one, as shown in Fig. 3b. In terms of stability, a small deactivation was observed in the cooling process after heating up to 200 °C (Fig. S3†), likely due to oligomerization or coking, while the C3H6 selectivity was improved over 90%.Open in a separate windowFig. 3(a) Catalytic properties of Co2FeGe/SiO2 for C3H4 hydrogenation, (b) C3H4 reaction rate per weight of Co at 75 °C for Co2FeGe/SiO2 (“nano”) and unsupported Co2FeGe (“unsupported”), (c) C3H6 conversion for Co2FeGe/SiO2 in C3H6 hydrogenation. Reaction conditions in (c) were the same as those in (a) except the reactant, which was [0.1% C3H6/40% H2/He-balance] in (c).To reveal the reason for the lower C3H6 selectivity of the Co2FeGe/SiO2 than that of the unsupported Co2FeGe, the catalytic test for C3H6 hydrogenation was conducted in the same manner as the C3H4 hydrogenation as shown in Fig. 3c. A certain amount of C3H6 was converted to C3H8, whereas it was scarcely converted by the unsupported one.11 This means the presence of the sites that further hydrogenate C3H6 in the C3H4 hydrogenation. For ordinary catalysts, the conversion is larger for the C3H6 hydrogenation than C3H4 hydrogenation at a lower temperature region in these reaction conditions11 (Fig. S1†). The larger conversion of C3H6 than C3H4 at ≤75 °C for the Co2FeGe/SiO2 (Fig. 3a and c) thus also indicates the presence of non-selective sites for the C3H4 hydrogenation. An anomaly at 175 °C in Fig. 3c is likely a result of conflict between the acceleration of reaction and the deceleration of C3H6 adsorption along with increasing temperature, which is often observed.11Taking into account the origin of the high alkene selectivity that inactive Ge atoms shrink the size of active ensembles and thereby prevent the re-adsorption of alkene molecules, which is indicated from electronic structures,11 two candidates are considered for the non-selective sites. One is a monometallic Co ensemble. In this impregnation synthesis, a part of the particles likely have chemical compositions that deviate from the target value. In particles with excess Co, monometallic Co ensembles should form, which is active for hydrogenation but not selective, as indicated by the tests using Co/SiO2 (Fig. S1a and c†). Actually, Co2FeGe/SiO2 catalysts preliminary prepared with the atomic ratio of Co : Fe: Ge = 2 : 1 : 1 loaded exhibited a poor selectivity (Fig. S4a†) in contrast to the present catalyst (loaded Co : Fe : Ge = 1.8 : 1 : 1), and the former showed an extra peak in the temperature programmed CO desorption profile as well as the pure Co in addition to the peaks for the unsupported Co2FeGe (Fig. S4b†).31 The other candidate for non-selective sites is a specific site formed by nano-sizing, such as the corner and the edge. These low-coordinated sites are generally active but in different environments from the terrace sites; thus, they can be non-selective. A tiny amount of the second phase CoGe is unlikely as the candidate because a high ethylene selectivity in selective hydrogenation of acetylene by CoGe has been reported.32Although it cannot be concluded whether the Co ensembles or the specific sites dominated the reduction of selectivity, the selectivity will increase up to the value for the unsupported one if the non-selective sites are identified and removed. Actually, the C3H6 selectivity was improved along with the deactivation (Fig. S3†), indicating that the non-selective sites were killed by carbon deposition due to oligomerization or coking. Nevertheless, over 70% for C3H6 selectivity at 100% conversion of C3H4 is high enough for the condition under abundant hydrogen (C3H4 : H2 = 1 : 400). This high selectivity was also confirmed in the C3H4 hydrogenation in the presence of abundant C3H6 (Fig. S5†). These results indicate that the excellent catalytic properties of intermetallic micro-powders can be conserved in their nanoparticles. The reaction rate of C3H4 per surface area of Co2FeGe was roughly estimated to be 1.2 × 10−7 mol s−1 m−2 at 75 °C by assuming the 23 nm-spheres with density of 8.66 g cm−3 (estimated by XRD for the unsupported one and using atomic weights). The value for the unsupported one was 4.1 × 10−8 mol s−1 m−2 at 75 °C. Although the estimation was very approximate, it can at least be said that the reaction rate did not decrease, or rather, it seems that the reaction rate somewhat increased by nano-sizing. This fact also assures the conservation of intrinsic catalytic properties after nano-sizing, while which increases the surface energy, enhancing the adsorption of reactant species, thereby possibly increasing the reaction rate.The catalytic performance is compared with those of other supported intermetallic catalysts reported (Catalyst Ni(Co) wt% Amount [mg] C2H2(C3H4) flow rate [mL min−1] C2H2(C3H4) : H2 : C2H4(C3H6) : He(Ar, N2) GHSV [mL g−1 h−1] Conv. [%] Selec. [%] Temp. [°C] Specific rate [mLC2H2(C3H4) min−1 gNi(Co)−1] Ref. Ni3Ge/MCM-41 3.2 16 3.9 3.9 : 8 : 0 : 17.1 107520 30 85 250 2340 33 NiGa/Mg/Al-LDH 10 50 1.2 1.2 : 12 : 0 : 106.8 144000 94 81 220 226 34 26 82 100 62 1.2 1.2 : 12 : 24 : 82.8 144000 72 75 186 173 7 87 93 17 Ni3Ga/MgAl2O4 2 100 0.33 0.33 : 6.7 : 33.3 : 26.67 40 000 91 77 200 152 35 9 96 100 15 Co2FeGe/SiO2 3 30 0.03 0.03 : 12 : 0:17.97 60 000 98 89 100 33 This work 3 60 0.03 0.03 : 12 : 3 : 14.97 30 000 98 77 100 16