Cu2O-mediated assembly of electrodeposition of Au nanoparticles onto 2D metal-organic framework nanosheets for real-time monitoring of hydrogen peroxide released from living cells

Chen, Sha; Zhao, Peng; Jiang, Liuyi; Zhou, Shiying; Zheng, Jilin; Luo, Xiaogang; Huo, Dehong; Hou, Changjun

doi:10.1007/s00216-020-03032-6

Cited by 34 publications

(20 citation statements)

References 59 publications

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“…Consistent with the previous reports on the visual demands associated with alpine skiing, performance in the Para alpine technical disciplines, which have participation from skiers with a wide range of VI, seemed to be predicted by the static VA and associated with VF when the age of skiers was taken into account ( Craybiel et al, 1955 ; Senner et al, 1999 ). Better static VA was predictive of better GS, SG, and SL performance points, which require more technical skill and less speed than DH.…”

Section: Discussionsupporting

confidence: 90%

“…Identifying the abovementioned visual cues would require skiers to have reasonable distance visual acuity (VA), contrast sensitivity (CS), depth perception, and peripheral vision while they are static, as well as while moving ( Craybiel et al, 1955 ; Senner et al, 1999 ; Erickson, 2007 ). Senner et al (1999) reported that a 20% decrease in static VA could significantly affect the reaction times of leisure skiers to smaller and low-contrast objects such as ice patches, even though their reaction times to larger obstacles such as standing or moving skiers were not affected. Furthermore, skiers’ motion and reduced visibility due to extrinsic factors related to weather, lighting, or snow conditions decrease the relative contrast of the visual information, increasing the demand on contrast processing ( Erickson, 2007 ).…”

Section: Introductionmentioning

confidence: 99%

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Do Impairments in Visual Functions Affect Skiing Performance?

2021

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Nordic and alpine skiing-related visual tasks such as identifying hill contours, slope characteristics, and snow conditions increase demands on contrast processing and other visual functions. Prospective observational studies were conducted to assess the relationships between skiing performance and a broad range of visual functions in nordic and alpine skiers with vision impairments. The study hypothesized that contrast sensitivity (CS), visual acuity (VA), and visual field (VF) would be predictive of skiing performance. Binocular static VA, CS, light sensitivity, glare sensitivity, glare recovery, dynamic VA, translational and radial motion perception, and VF were assessed in elite Para nordic (n = 26) and Para alpine (n = 15) skiers. Skiing performance was assessed based on skiers’ raw race times. Performance on the visual function tests was compared with skiing performances using Kendall’s correlations (with and without Bonferroni–Holm corrections) and linear multivariable regressions (p < 0.05 considered significant). None of the vision variables were significantly correlated with performance in Para nordic or Para alpine skiing after Bonferroni–Holm corrections were applied. Before applying the corrections, VF extent (ρ = -0.37, p = 0.011), and static VA (ρ = 0.26, p = 0.066) demonstrated the strongest correlations with Para nordic skiing performance; in Para alpine skiing, static VA and CS demonstrated the strongest correlations with downhill (static VA: ρ = 0.54, p = 0.046, CS: ρ = -0.50, p = 0.06), super G (static VA: ρ = 0.50, p = 0.007, CS: ρ = -0.51, p = 0.017), and giant slalom (static VA: ρ = 0.57, p = 0.01, CS: ρ = -0.46, p = 0.017) performance. Dynamic VA and VF were significantly associated with downhill (ρ = 0.593, p = 0.04) and slalom (ρ = -0.49, p = 0.013) performances, respectively. Static VA was a significant predictor of giant slalom [(F(3,11) = 24.71, p < 0.001), and R of 0.87], super G [(F(3,9) = 17.34, p = 0.002), and R of 0.85], and slalom [(F(3,11) = 11.8, p = 0.002), and R of 0.80] performance, but CS and VF were not. Interestingly, static VA and CS were highly correlated in both Para nordic (ρ = -0.60, p < 0.001) and Para alpine (ρ = -0.80, p < 0.001) skiers. Of the vision variables, only static VA and VF were associated with skiing performance and should be included as the in Para nordic and Para alpine classifications. The strong correlations between static VA and CS in these skiers with vision impairment may have masked relationships between CS and skiing performance.

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Section: Discussionsupporting

confidence: 90%

Section: Introductionmentioning

confidence: 99%

Do Impairments in Visual Functions Affect Skiing Performance?

2021

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“…Ervilha, PI527538, and the RILs were evaluated in duplicate using a modified Quantitative Descriptive Analysis (QDA) approach ( Stone et al, 1974 ), in which four panelists per session independently evaluated samples using a non-consensus approach to limit group bias. For the purposes of this study, the QDA approach was modified as described by Bassett et al (2020b) to increase suitability for implementation in public breeding programs with limited resources.…”

Section: Methodsmentioning

confidence: 99%

QTL Mapping of Seed Quality Traits Including Cooking Time, Flavor, and Texture in a Yellow Dry Bean (Phaseolus vulgaris L.) Population

et al. 2021

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Manteca yellow dry beans (Phaseolus vulgaris L.) have many quality traits that appeal to consumers, including fast cooking times, creamy texture, and sweet, buttery flavor. They are native to Chile and consumed in regions of South America and Africa but are largely unfamiliar to United States consumers. While cooking time, flavor, and texture have not been prioritized in United States dry bean breeding programs, genetic variability exists such that these traits could be addressed through breeding. In this study, a recombinant inbred line (RIL) population was developed from a cross between Ervilha (Manteca) and PI527538 (Njano), yellow dry beans with contrasting cooking time and sensory attributes. The population and parents were grown for 2 years in Michigan and evaluated for cooking time and sensory attribute intensities, including total flavor, beany, vegetative, earthy, starchy, sweet, bitter, seed-coat perception, and cotyledon texture. Cooking time ranged 19–34 min and exhibited high broad-sense heritability (0.68). Sensory attribute intensities also exhibited variation among RILs, although broad-sense heritability was low, with beany and total flavor exhibiting the highest (0.33 and 0.27). A linkage map of 870 single nucleotide polymorphisms markers across 11 chromosomes was developed for quantitative trait loci (QTL) mapping, which revealed QTL for water uptake (3), cooking time (6), sensory attribute intensities (28), color (13), seed-coat postharvest non-darkening (1), seed weight (5), and seed yield (2) identified from data across 2 years. Co-localization was identified for starchy, sweet, and seed-coat perception on Pv01; for total flavor, beany, earthy, starchy, sweet, bitter, seed-coat perception, cotyledon texture, and color on Pv03; water uptake and color on Pv04; total flavor, vegetative, sweet, and cotyledon texture on Pv07; cooking time, starchy, sweet, and color on Pv08; and water uptake, cooking time, total flavor, beany, starchy, bitter, seed-coat perception, cotyledon texture, color, and seed-coat postharvest non-darkening on Pv10. The QTL identified in this work, in particular CT8.2 and CT10.2, can be used to develop molecular markers to improve seed quality traits in future dry bean varieties. Considering yellow dry beans already excel in quality and convenience, they might be an ideal market class to signal a new focus on consumer-valued traits in the United States.

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“…Since the discovery of the peroxidase-mimicking activity of iron (II, III) oxide (Fe 3 O 4 ) on 3,3,5,5-tetramethylbenzidine (TMB), the development of enzyme-free H 2 O 2 sensors with peroxidase-like activity has been accelerated [1]. Various nanostructured materials such as noble metal nanostructures [2][3][4][5][6][7][8], transition metal oxides [9][10][11], metal organic frameworks [12][13][14][15][16], and carbon-based nanostructures [17][18][19][20] have attracted great interest and have been successfully used to construct enzyme-free H 2 O 2 sensors. Unlike native enzymes, nanomaterials possess many advantages, such as ease of preparation, favorable catalytic activity, low cost, and high stability.…”

Section: Introductionmentioning

confidence: 99%

“…However, the reactive intermediates adsorb to the surface of the nanomaterials and inhibit the catalytic reaction, which limits their applications [22]. In addition, the understanding of the structure/property relation of nanomaterials in H 2 O 2 detection is still challenging, in vivo or in vitro [5,14]. Therefore, a sensitive and cost-effective material for detecting H 2 O 2 must be developed.…”

Section: Introductionmentioning

confidence: 99%

Nonenzymatic Hydrogen Peroxide Detection Using Surface-Enhanced Raman Scattering of Gold–Silver Core–Shell-Assembled Silica Nanostructures

et al. 2021

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Hydrogen peroxide (H2O2) plays important roles in cellular signaling and in industry. Thus, the accurate detection of H2O2 is critical for its application. Unfortunately, the direct detection of H2O2 by surface-enhanced Raman spectroscopy (SERS) is not possible because of its low Raman cross section. Therefore, the detection of H2O2 via the presence of an intermediary such as 3,3,5,5-tetramethylbenzidine (TMB) has recently been developed. In this study, the peroxidase-mimicking activity of gold–silver core–shell-assembled silica nanostructures (SiO2@Au@Ag alloy NPs) in the presence of TMB was investigated using SERS for detecting H2O2. In the presence of H2O2, the SiO2@Au@Ag alloy catalyzed the conversion of TMB to oxidized TMB, which was absorbed onto the surface of the SiO2@Au@Ag alloy. The SERS characteristics of the alloy in the TMB–H2O2 mixture were investigated. The evaluation of the SERS band to determine the H2O2 level utilized the SERS intensity of oxidized TMB bands. Moreover, the optimal conditions for H2O2 detection using SiO2@Au@Ag alloy included incubating 20 µg/mL SiO2@Au@Ag alloy NPs with 0.8 mM TMB for 15 min and measuring the Raman signal at 400 µg/mL SiO2@Au@Ag alloy NPs.

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Cu2O-mediated assembly of electrodeposition of Au nanoparticles onto 2D metal-organic framework nanosheets for real-time monitoring of hydrogen peroxide released from living cells

Cited by 34 publications

References 59 publications

Do Impairments in Visual Functions Affect Skiing Performance?

Do Impairments in Visual Functions Affect Skiing Performance?

QTL Mapping of Seed Quality Traits Including Cooking Time, Flavor, and Texture in a Yellow Dry Bean (Phaseolus vulgaris L.) Population

Nonenzymatic Hydrogen Peroxide Detection Using Surface-Enhanced Raman Scattering of Gold–Silver Core–Shell-Assembled Silica Nanostructures

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