Proc Nat

Proc Nat PI3K inhibitor Acad Sci USA 104:18555–18560 Beck E, Bendix J, Kottke I, Makeschin F, Mosandl R (eds) (2008) Gradients in a tropical mountain ecosystem

of Ecuador. Ecol Stud 198:1–525 Crist TO, Veech JA, Gering JC, Summerville KS (2003) Partitioning species diversity across landscapes and regions: a hierarchical analysis of a, b, and g diversity. Am Nat 162:734–743CrossRefPubMed Duivenvoorden JF (1994) Vascular plant species counts in the rain forests of the middle Caquetá area, Colombian Amazonia. Biodivers Conserv 3:685–715CrossRef Duivenvoorden JF (1996) Patterns of tree species richness in rain forests of the middle Caquetá area, Colombia, NW Amazonia. Biotropica 28:142–158CrossRef Gabriel R, Bates JW (2005) Bryophyte community composition and habitat specificity in the natural forests of Terceira, Azores. Plant Ecol 177:125–144CrossRef Gradstein SR, Pócs T (1989) Bryophytes. In: Lieth H, Werger MJA (eds) Tropical rain forest ecosystems. Ecosystems of the world 14A. learn more Elsevier, Amsterdam, pp 311–325 Gradstein SR, Griffin

D, Morales MI, Nadkarni NM (2001) Diversity and habitat differentiation of mosses and liverworts in the cloud forest of Monteverde, Costa Rica. Caldasia 23:203–212 Gradstein SR, Bock C, Mandl N, Nöske N (2007) Bryophyta: hepaticae. In: Liede-Schumann S, Breckle SW (eds) Provisional checklist of flora and fauna of the San Francisco valley and its surroundings (Reserva Biológica San Francisco, Province Zamora-Chinchipe, southern Ecuador). Ecotrop Monogr 4:69–87 Gradstein SR, Kessler M, Lehnert M, Abiy M, Mandl N, Makeschin F, Richter M (2008) Vegetation, climate and soil of the unique Purdiaea forest of southern Ecuador. Ecotropica 14:15–26

Holz I, Gradstein SR (2005) Ralimetinib in vivo Cryptogamic epiphytes in primary and recovering upper montane oak forests of Costa Rica-species richness, community composition and ecology. Plant Etomidate Ecol 178:89–109CrossRef Johansson D (1974) Ecology of vascular epiphytes in West African rain forest. Acta Phytogeogr 59:1–123 Kelly DL, O′Donovan G, Feehan J, Murphy S, Drangeid SO, Marcano-Berti L (2004) The epiphyte communities of a montane rain forest in the Andes of Venezuela: patterns in the distribution of the flora. J Trop Ecol 20:643–666CrossRef Kessler M (2002) Environmental patterns and ecological correlates of range-size among bromeliad communities of Andean forests in Bolivia. Bot Rev 68:100–127CrossRef Kessler M, Abrahamczyk S, Bos M, Buchori D, Putra DD, Gradstein S.

Nano Lett 2011,11(8):3190–3196 CrossRef 10 Wang JK, Tsai CS, Lin

Nano Lett 2011,11(8):3190–3196.CrossRef 10. Wang JK, Tsai CS, Lin CE, Lin JC: Vibrational

dephasing dynamics at hydrogenated and deuterated semiconductor surfaces: symmetry analysis. J Chem Phys 2000,113(12):5041–5052.CrossRef 11. Wang HH, Liu CY, Wu SB, Liu NW, Peng CY, Chan TH, Hsu CF, Wang JK, Wang YL: Highly Raman-enhancing substrates based on silver nanoparticle arrays with tunable sub-10 nm gaps. Adv Mater 2006,18(4):491.CrossRef 12. Liu CY, Dvoynenko MM, Lai MY, Chan TH, Lee YR, Wang JK, Wang YL: Anomalously enhanced Raman scattering from longitudinal optical phonons on Ag-nanoparticle-covered A-1210477 order GaN and ZnO. Appl Phys Lett 2010,96(3):033109.CrossRef 13. Huang CH, Lin HY, Chen ST, Liu CY, Chui HC, Tzeng YH: Electrochemically fabricated self-aligned 2-D silver/alumina arrays as reliable SERS sensors. Opt Express 2011,19(12):11441–11450.CrossRef 14. Ferrari AC, Meyer JC, Scardaci V, Casiraghi C, Lazzeri M, Mauri F, Piscanec S, Jiang D, Novoselov KS, Roth S, Geim AK: Raman spectrum of graphene and graphene layers. Phys Rev Lett 2006,97(18):187401.CrossRef 15. Malard

LM, Pimenta MA, Dresselhaus G, Dresselhaus MS: Raman selleck chemical spectroscopy in graphene. Phys Rep 2009,473(5–6):51–87.CrossRef 16. Gao LB, Ren WC, Liu BL, Saito R, Wu ZS, Li SS, Jiang CB, Li F, Cheng HM: Selleckchem Repotrectinib Surface and interference coenhanced Raman scattering of graphene. Acs Nano 2009,3(4):933–939.CrossRef 17. Schedin F, Lidorikis E, Lombardo A, Kravets VG, Geim AK, Grigorenko AN, Novoselov KS, Ferrari AC: Surface-enhanced Raman spectroscopy of graphene. Acs Nano 2010,4(10):5617–5626.CrossRef 18. Wu D, Zhang F, Liu P, Feng X: Two-dimensional nanocomposites based on chemically modified graphene. Chem-Eur J 2011,17(39):10804–10812.CrossRef 19. Casiraghi C, Pisana S, Novoselov KS, Geim AK, Ferrari AC: Raman fingerprint of charged impurities in graphene. Appl Phys Lett 2007, 91:23.CrossRef 20. Ni ZH, Yu T, Luo ZQ, Wang YY, Liu L, Wong

CP, Miao JM, Huang W, Shen ZX: Probing charged impurities in suspended graphene using Raman spectroscopy. Acs Nano 2009,3(3):569–574.CrossRef 21. Huang CW, Lin BJ, Lin HY, Huang CH, Shih FY, Wang WH, Liu CY, Chui HC: Observation of strain effect on the suspended graphene by polarized Raman spectroscopy. Nanoscale tuclazepam Res Lett 2012,7(1):533.CrossRef 22. Huang CW, Shiue RJ, Chui HC, Wang WH, Wang JK, Tzeng YH, Liu CY: Revealing anisotropic strain in exfoliated graphene by polarized Raman spectroscopy. Nanoscale 2013,5(20):9626–9632.CrossRef 23. Lee YC, Chui HC, Chen YY, Chang YH, Tsai CC: Effects of light on cesium 6S-8S two-photon transition. Opt Commun 2010,283(9):1788–1791.CrossRef 24. Lee YC, Chang YH, Chen YY, Tsai CC, Chui HC: Polarization and pressure effects in caesium 6S-8S two-photon spectroscopy. J Phys B-At Mol Opt 2010, 43:23. 25.

Environ Microbiol 2009, 11:2148–2163 PubMedCrossRef 52 Philippot

Environ Microbiol 2009, 11:2148–2163.PubMedCrossRef 52. Philippot L, Hallin S: Finding the missing link between diversity and activity using denitrifying bacteria as a model functional community. Curr Opin Microbiol 2005, 8:234–239.PubMedCrossRef 53. Parks DH, Beiko RG: Identifying biologically relevant differences between metagenomic communities. Bioinformatics 2010, 26:715–721.PubMedCrossRef

Competing interests The authors declare that they have no competing interests. Authors’ contributions SC-K conceived of the study, collected and processed samples for sequencing, and authored the manuscript. KS participated in the design and implementation of the study and edited and commented on the paper. DB conceived of the study and participated in its design and implementation, contributed to data analysis, and edited and commented

on the paper. All authors read and approved the final manuscript.”
“Background selleck kinase inhibitor Pseudomonas aeruginosa is a ubiquitous environmental Gram-negative soil bacterium that is also an important opportunistic human pathogen causing a variety of different nosocomial infections including pneumonia, catheter and urinary tract infections as well as sepsis in burn wound and immunocompromised patients [1]. Moreover, P. aeruginosa is the most prevalent and significant pulmonary pathogen in patients with cystic fibrosis causing eventually fatal lung disease [2]. The inability to successfully clear P. aeruginosa infections through antibiotic treatment is a major contributor to the complicated and often severe outcome of P. aeruginosa infections [3]. It Stattic purchase demonstrates high intrinsic resistance to antibiotics and an ability to develop even higher resistance through mutation, acquisition of genetic elements, and adaptation to environmental conditions, e.g. through biofilm formation on surfaces. P. aeruginosa also possesses a large arsenal of virulence-related

factors. Among others are a type II, III and VI secretion system and their associated effector proteins such as extracellular proteases and phospholipases and the Type III secreted toxins ExoU, S, T and Y. In addition, they have flagella and type IV pili that are involved in motility and host cell adhesion [4–6]. P. aeruginosa also regulates Mannose-binding protein-associated serine protease the gene expression of most virulence factors including genes involved in iron acquisition (e.g. pyoverdine), toxin production (hydrogen cyanide), exopolysaccharide biosynthesis or biofilm formation in a cell density dependant manner termed quorum sensing mediated by the two master regulators LasR and RhlR [4, 7, 8]. Although some virulence factors seem to be host or site specific, the majority are involved in multi-host infections in a variety of different non-mammalian and mammalian organisms including amoebae, flies, nematodes, rodents and humans [9–11].

All GEIS cycles have been measured in sequence with

an in

All GEIS cycles have been measured in sequence with

an interval of about 4 s between a cycle and the next. Curves related to increasing times are shifted in the y-axis for reason of clarity, and an arrow indicating the direction of time is indicated. Figure 6 Examples of GEIS results for high doping current intensities. Evolution in time of Nyquist plots during the Er doping of two nominally identical PSi samples, 1.25 μm thick, carried out at high current intensities (I = +0.02 mA for a and I = +0.06 mA for b). For each section in the figure, the first measurement is the lowest curve. All GEIS cycles have been measured in sequence with an interval of about 4 s between a cycle and the next. Curves related to increasing times are shifted in the y-axis for reason of clarity, and an arrow indicating the direction of time is indicated. The colors are used for an easier reading of selleck chemicals llc the AZD5582 cell line evolution in the first stages of the process. According to the interpretation derived by the equivalent circuits, the first semicircle (from the left, higher frequencies)

is attributed to the bulk Si. It does not evolve with time in each series of measurements, since bulk Si is not affected by the doping process. A variation of the diameters of the other semicircles is measured in time, at a variable extent, especially in data at highest current. The appearance/disappearance of the responses is connected with the time constants related to the different processes. From the fitting described earlier, values in the order of microseconds are obtained for the first RC element, so confirming a rapid process of charge adjustment in the bulk solid phase. Slower processes, represented by the other semicircles, are observed at lower current doping (time constants of order of 10-1 s), while an acceleration of them is observed at higher current (time constants in the order of ms). The presence

of the DT can tentatively be associated to the large and rapid variation observed in the third semicircle in the higher current time evolution, not visible in the lower current measurements. EDS-SEM characterization The GEIS and optical reflectivity measurements being not a PI3K Inhibitor Library direct Er concentration measurement, we resorted to energy dispersive spectroscopy by scanning electron microscopy (SEM-EDS) measurements BCKDHB to gain direct access to the presence of Er within the porous layer. The results are summarized in Table 1, where we report the evolution of the Er content with depth for two PSi samples doped using two doping current intensities different by one order of magnitude and with an identical total transferred charge. The depth at which the measurements were taken is indicated in the first column of the table. The area for each measurement was 8 μm2. Table 1 EDS-SEM measurements of Er content Depth (μm) Er (At%) at I = +0.5 mA Er (At%) at I = +0.05 mA 2 1.24 0.12 6 1.29 0.09 9 1.22 0.21 13 1.14 0.23 17 0.91 0.21 22 0.11 0.

As mentioned before, we do not exclude the possibility that Bhp1

As mentioned before, we do not exclude the possibility that Bhp1 or Bhl1 are involved in sexual development. JQ1 datasheet Hydrophobins are known to be important for the formation of fruiting bodies in basidiomycetous mushrooms such as Agaricus bisporus and Schizophyllum commune [2]. In the chestnut blight fungus Cryphonectria parasitica, the class II hydrophobin learn more cryparin has

been shown to cover the walls of fruiting bodies and to be required for normal fruiting body development [27]. Because several hydrophobins are encoded in the genomes of filamentous fungi, it is difficult to fully assess their roles and to exclude complimentary functions. In the tomato pathogen Cladosporium fulvum, six

hydrophobins have been identified. Using single mutations, one of them (Hcf1) was found to be required for spore surface hydrophobicity, another one (Hcf6) seems to be involved in adhesion of germinating spores to glass surfaces [28]. An attempt to assess the function of all hydrophobins simultaneously by multiple RNAi silencing failed to result in complete knock-down of the genes [29]. In Fusarium verticillioides, Linsitinib five hydrophobin genes (hyd1 – hyd5) have been identified up to now in the genome. Phenotypical analysis of single mutants in these genes and of a hyd1/hyd2 double mutant revealed that hyd1 and hyd2 are required for normal microconidia formation, but did not provide evidence for a role of these hydrophobins in growth, infection behaviour, and mycelium hydrophobicity [16].

This indicates that in some fungi, including B. cinerea and F. verticillioides, hydrophobins Dichloromethane dehalogenase play only a minor – if any – role in generating cell wall surface hydrophobicity. However, they might serve other, as yet unknown functions. By far not all fungal spores contain superficial rodlet layers. For example, they are missing in the urediospores of rust fungi [30], and conidia of several powdery mildews [31]. Rust urediospores have been shown to be covered with a layer of lipids that can be extracted with organic solvents, leading to a significantly decreased hydrophobicity, and increased attachment to hydrophilic surfaces [32, 33]. Surface bound lipids, containing hydrocarbon and fatty acid constituents, have been described for spores of several but not all fungal species analysed. The lack of visible effects of hexane treatment on the surface structure of B. cinerea conidia indicates that simple lipids are not a major surface component of these spores. Alternatively, proteins other than hydrophobins could play a role in conferring surface hydrophobicity. In Stagonospora nodorum, preformed surface glycoproteins have been proposed to play a role in the attachment of conidia to hydrophobic surfaces [34]. In the yeasts S. cerevisiae and C.

The refractive index data was fitted using parameters


The refractive index data was fitted using parameters

from [24, 25] for a-Si, from [26] for AZO, and from [27] for GZO, see Table 1. Only the latter one has a significant free charge Smad2 signaling carrier concentration according to the parameters used here, which leads to a pronounced plasmon resonance; the dielectric function of a-Si and AZO is simply characterized by the band gap and the constant refractive index at longer wavelengths, see also Figure 1b,c,d. Figure 5 compares the scattering efficiencies for spherical nanoparticles (in air) from the three semiconductors which are characterized by a band gap around 800 nm (for a-Si) and 400 nm (for AZO and GZO). find more For wavelengths below the band gap (i.e., in terms of energy above), the absorption is dominant, and thus scattering can only be exploited for wavelengths well beyond the band gap. Since NSC23766 research buy this is the case above 1,000 nm only for the a-Si nanoparticles, they cannot be expected to perform well in a device operating in the visible wavelength range. The band gap has to be chosen as low (in wavelengths, but high in energy) as possible. For AZO, the scattering efficiency is 1 for wavelengths larger than the band gap at around 400 nm making it comparable to a dielectric. This is not surprising since low-doped

semiconducting materials far away from a specific resonance will show dielectric-like behavior. Comparing a dielectric nanoparticle to one made of a low-doped semiconductor, the latter loses in terms of scattering efficiency since it shows parasitic absorption below the band gap. Figure 5 Maps of scattering efficiency for semiconductor nanoparticles. Spherical particle made from (a) a-Si, (b) AZO, and (c) GZO with refractive indices fitted with parameters from [24, 25], [26], and [27], respectively (note the different wavelength range

in (c)). For the highly doped semiconductor, the situation is slightly different. Also here, parasitic absorption dominates for wavelengths below the band gap. But additionally, the free charge carriers of the highly doped semiconductor lead to further parasitic absorption Tangeritin in the wavelength range where they become dominant, compare Figure 5c (and also see the Additional file 3: Figure S3 for the individual absorption and scattering cross sections). Yet, they also give rise to a plasmonic resonance since the according requirements for the refractive index (∈ 1 = −2) can be fulfilled. For GZO, the conditions are met at λ approximately 2,000 nm so that a further resonance occurs here. This peak can be attributed to the dipole electric mode as shown in Figure 6 where the sum of the scattering cross section for an r = 170 nm GZO nanoparticle is depicted together with the different order electric and magnetic modes.

Occupational injury in the UAE

Occupational injury in the UAE eFT-508 price was addressed in a study with collaboration with occupational medicine researchers [13]. The analysis sought to investigate the epidemiology of occupational injury hospitalizations using data from the trauma registry. The incidence of occupational injury hospitalizations was approx 136/100,000 workers/year with 98% being males and 96% being non-nationals. The study

concluded that external causes were proportionately much more frequently encountered than in industrialized countries and that effective counter measures are needed to reduce the incidence and severity of these occupational injuries. Countries with limited resources have been able to establish useful Trauma registries

[4, 7, 15]. Ongoing funding and dedicated personnel are essential for the BI 10773 datasheet success of a trauma registry whose staff should be considered as key members of the trauma team. Orientation and training of trauma registry personnel is essential as well as identifying informatics experts to develop and enhance the registry program and analyze the registry data [16]. Trauma registries are useful for collecting continuous, standardized, large sets of data for analysis and enhancing quality of care, ensuring appropriate resource learn more allocation, and offering evidence of trauma incidence and care [4]. This provides more reliable information regarding risk factors related to different types of injuries and ways to prevent them [6]. Furthermore, the merging of trauma registry data with other sources of information related to the injured victims can produce a more descriptive resource [5]. Obtaining research funds for such projects can be very difficult. In our case, the results of early analysis of data was crucial for convincing potential grantors that these this type of project is worthwhile and persuading researchers that this is a valid form of Health Informatics research. The next step is to establish a nationwide Trauma Registry using the general

web-based database-driven model. This will allow the possibility of combining data from different hospitals and distant regions. Patient data security and privacy are issues that must be dealt with when developing such remote data entry models [16]. A study comparing seven national trauma registries concluded that successful trauma registries show continuous growth of datasets and provide basic data for publications and for policy guidelines [5]. Although, the trauma registry established in 2003 in Al-Ain city, UAE collected data for a finite period of time, it has successfully provided basic data for publications and for policy guidelines. Since the inception of the trauma registry interest in trauma in the UAE has risen dramatically. Collaboration between clinicians, health Informaticians, and preventive medicine specialists has produced a number of publications based on the registry data [8–13, 17–20].

The full sequence of this plasmid is available on GenBank (access

The full sequence of this plasmid is available on GenBank (accession number JN703735). Pspph1925 was PCR-amplified using the primers 1925compFw and 1925compRv (Supplementary Table 1) and directionally cloned into pSX via the introduced

NdeI and HindIII restriction sites. The accuracy of this and all other plasmid gene inserts was validated by sequencing (Macrogen, Korea). Targeted deletion of P. syringae 1448a genes Mutagenic plasmids were delivered to P. syringae 1448a using an electroporation protocol for Pseudomonas mutagenesis adapted from [38]. Overnight cultures were grown to stationary phase in LB media, then 6 ml of culture were aliquoted into 1.5 ml microfuge tubes for each electroporation. Cells were twice pelleted by centrifugation followed by resuspension Protein Tyrosine Kinase inhibitor in sterile 300 mM sucrose to wash. After the final wash all cells were pelleted, resuspended and pooled in 100 μl of 300 mM sucrose and transferred to a 2 mm gap electroporation cuvette together with 10 μl of mutagenic plasmid sample in ddH2O. Following electroporation

and recovery as described [66], GDC-941 100 μl samples were plated on LB containing chloramphenicol and rifampicin (P. syringae 1448a is rifampicin resistant; this antibiotic was added to avoid growth of contaminants, not for selection of pDM4 chromosomal integrants). Plates were then incubated for 48-72 h at 28°C. Subsequent selection of primary integrants and sacB counter-selection were performed as previously described [38], with the resulting colonies screened for desired mutation events by colony PCR. For pyoverdine NRPS knockouts, mutant genotypes were also confirmed by Southern blotting using an Amersham alkphos® kit with CDP Star® detection reagent according to the manufacturer’s instructions. CAS agar assays for iron uptake 100 ml Chromeazurol S (CAS) dye for the detection of siderophores

[67] was made by dissolving 60.5 mg CAS powder (Sigma) in 50 ml distilled water. To this 10 ml of a 1 mM solution of FeCl3 was added. The entire solution was then poured slowly with stirring into 40 ml distilled water containing 72.9 mg dissolved HDTMA (Sigma) and autoclaved to sterilize. To make agar plates, freshly autoclaved KB agar was cooled to 60°C before adding 1 part CAS dye to 9 parts media. Plates were immediately Inositol oxygenase poured, and at this point exhibited a dark green color. Strains were inoculated into dried CAS plates by picking a large colony with a sterile 100 μl pipette tip and piercing the tip approximately 5 mm into the 4SC-202 nmr surface of the agar plates. Plates were then incubated upside down at 28°C for 24 h. After 24 h incubation the 22°C condition was removed from the incubator and maintained at 22°C. Plates were photographed with minimal exposure to temperature change at 24, 48 and 72 h. The entire assay was repeated three times; results presented in figures are from a single assay and are representative of all repeats.

Table 1 Microsphere characteristics Microsphere type Ho-PLLA-MS T

Table 1 Microsphere characteristics Microsphere type Ho-PLLA-MS TheraSphere® SIR-Spheres® Matrix material PLLA Glass Resin Isotope 166Ho 90Y Physical half-life (h) 26.8 64.1 Υ-energy (keV) 81 no Υ-emission β-energy (MeV) 1.77 (48.7%) 1.85 (50.0%)

2.28 (99.9%) Neutron absorption cross-section (barn) 64 1.3 Activity/sphere (Bq) ≤ 450 2500 50 n particles instilled 33 million 4 million 50 million Density (g/ml) 1.4 3.3 1.6 Recruitment Patients with liver metastases who agree to participate in the study must be referred to the principle investigator by the department of Surgery. The principle investigator will inform every patient and obtain their informed consent. Pre-treatment work-up Screening A screening visit will take place at the outpatient clinic within 14 days prior to the fist angiography. During this visit, the principle investigator will run through the

inclusion and SN-38 in vitro exclusion criteria, conduct a physical examination, and assess the WHO performance status of the patient. Subsequently, CT, MRI, and positron emission tomography (PET) will be performed, as well as electrocardiography (ECG). PET will only be find more performed in FDG-avid SC79 in vivo tumours. Liver weight will be calculated, based on the liver volume measured on CT data with a density conversion factor of 1.0 g/cm 3. Relevant laboratory tests (haematology, coagulation profile, serum chemistry, tumour marker) must be documented and reviewed. All patients are asked to fill out the European Organisation for Research and Treatment of Cancer (EORTC) QLQ-C30 questionnaire [24]. Angiography Patients will be hospitalized on the evening prior to angiography. On day 0 the patient is subjected to angiography of the upper abdominal vessels. The celiac

axis and superior mesenteric artery are visualised, followed by coiling of relevant vessels, in particular branches PDK4 of the hepatic artery supplying organs other than the liver, e.g. gastroduodenal artery (GDA), right gastric artery (RGA). If major arteries like the GDA or RGA cannot be successfully occluded, the patient will be withheld 166Ho-RE. This procedure will be performed by a skilled and trained interventional radiologist. The catheter is introduced using the Seldinger technique. Prior to the procedure, the patient is offered a tranquilizer (oxazepam 1 dd 10 mg). Premedication consists of a single administration of corticosteroids (dexamethason 10 mg i.v.) and antiemetics (ondansetron 8 mg i.v.). Proton pump inhibitors (pantoprazol 1 dd 40 mg) are started on the day of the intervention and prescribed for use until the end of the follow-up. Macroaggregated albumin injection After successful angiography and coiling of relevant vasculature is performed, a dose of 99mTc-Macroaggregated Albumin ( 99mTc-MAA) will be administered in the hepatic artery on the same day. The 99mTc-MAA are used to assess whether a favourable distribution of the 166Ho-PLLA-MS can be expected.

As shown in Figure 5C, the electrochemical response increases wit

As shown in Figure 5C, the electrochemical response increases with increasing temperature from 25°C to 35°C and then decreases as the temperature further increased. MDV3100 research buy The sharp decrease of the

response was due to the denaturation of GOD at high temperatures. Although the response of the biosensor was greatest at 35°C, for practical reasons, it was suggested that room temperature be used to simplify the experimental procedure and prolong the useful lifetime of the biosensor given that most enzymes can be easily denatured at high temperature. Amperometric sensing of glucose In this work, PtAuNP/GSK1120212 concentration ss-DNA/GR nanocomposites were used to accelerate electron transfer between the electro-active sites embedded in GOD and the modified electrode. To investigate the effect of PtAuNP/ss-DNA/GR on the response current, as in Figure 6, we compared the amperometric responses of GOD/ss-DNA/GR (curve a), GOD/PtNP/ss-DNA/GR (curve b), and GOD/AuNP/ss-DNA/GR (curve c) modified electrodes for the successive addition of 0.1 mM glucose at an applied potential of -0.2 V. It can be seen from Figure 6 that the amperometric responses of GOD/PtAuNP/ss-DNA/GR (curve d) modified electrode were much larger than those of the GOD/ss-DNA/GR (curve a), GOD/PtNP/ss-DNA/GR (curve b), and GOD/AuNP/ss-DNA/GR (curve c) modified electrodes. The reason might be due to the extra active surface area provided by

PtAuNP/ss-DNA/GR composites and the synergistic action of PtAuNPs and GR. The GOD/PtAuNP/ss-DNA/GR modified electrode exhibited a linear response in the concentration range Edoxaban of 1.0 to 1,800 μM, with a correlation coefficient of 0.997. It was much wider than that of the ZnO/MWCNT/GOD electrode (6.67 to 1,290 μM) [39], Ag polydopamine@CNT/Nafion/GOD electrode (50 to 1,100 μM) [40], and GR quantum dot/GOD electrode (5 to 1,270 μM) [30]. The detection limit was estimated to be 0.3 μM (based on S/N = 3) for glucose, which was lower than 20 μM for MWCNT-GOD [41], 20 μM

for GR-chitosan/GOD [42], and 0.5 μM for polyaniline/CNT/Pt/GOD [43]. Figure 6 Amperometric responses of modified electrodes to additions of 0.1 mM glucose in 10-mL PBS at -0.2 V. GOD/ss-DNA/GR (curve a), GOD/PtNP/ss-DNA/GR (curve b), GOD/AuNP/ss-DNA/GR (curve c), and GOD/PtAuNP/ss-DNA/GR (curve d) modified electrodes. Left inset is the calibration curve of the biosensor. Selectivity, reproducibility, and stability of the biosensor In the present work, we studied the interference effect of ascorbic acid (1.0 mM), dopamine (1.0 mM), and uric acid (1.0 mM) on the amperometric response of 1 mM glucose, and the response is shown in Table 1. As shown, the biosensor showed excellent selectivity to glucose in the presence of ascorbic acid, dopamine, and uric acid. The good selectivity of this biosensor is largely attributed to the low working potential (-0.2 V).