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Item type:Publication, Development of a label-free-SERS gold nanoaptasensor for the accessible determination of ochratoxin A(Elsevier, 2020-06-01)Nanomaterials use in traditional spectroscopic assays has enabled the development of more sensitive and accessible methods with wider-range of applications. Usually, the sensitivity of nanosensors is improved through the incorporation of labels or by inducing nanoparticles aggregation. Herein, we present the development of a label-free, selective, reliable, and affordable gold nanoprisms aptasensor to detect the content of ochratoxin A (OTA) in suspension by surface-enhanced Raman spectroscopy (SERS). Label-free SERS provides a molecular signature of the aptamer-OTA complex used and enables to discriminate OTA solutions from 10 to 250 ppb (25–620 nM) with multivariate analysis. This label-free nanoaptasensing system represents a new possibility for simpler and more reliable and accessible procedures for OTA determination. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Use of multivariate analysis for determining the most influential physicochemical properties of activated carbon in cadmium removal(Emerald Group Holdings Ltd., 2022-04-19)The goal of this paper is to model the activated carbon adsorption capacity of cadmium using a polynomial regression model. The properties that influence the removal of heavy metals by activated carbon must be taken into consideration in order to synthesize materials specific to the characteristics of the pollutant. Design/methodology/approach: Multivariable analysis applications allow a comprehensive description of the relationship between activated carbon surface properties and heavy metal adsorption. Findings: The authors use a second-grade polynomial regression model to determine the influence of porosity and surface acidity in cadmium adsorption by activated carbon. Originality/value: The authors propose a statistic analysis to correlate the carbon properties with its cadmium adsorption capacity. Model coefficient analysis will give a better comprehension of the influence of activated carbon porosity and surface acidity of cadmium removal. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Innovation Climate Scale: Psychometric analysis in Peruvian workers(Universidad Politecnica Salesiana, 2024-10-01)the changes caused by the COVID-19 pandemic pushed organizations to attempt to remain current and competitive. Thus, the ability to respond to new demands and adapt to shifting conditions was an unavoidable requirement, which implies innovating in the development of their processes. In that sense, the growing importance of innovative work behaviors in the development of organizations has driven researchers to investigate mechanisms that foster such behaviors in workers. The objective of this study was to analyze the psychometric properties of the Innovation Climate Scale (ICS). The instrumental study involved 273 Peruvian workers (50.916 % male) ranging in age between 22 and 76 years old (Mean = 45.224), employed for the most part in the private sector (75.092 %). The psychometric analysis explored item clarity and relevance by means of assessment by expert judges (content validity). Internal structure was assessed via confirmatory factorial analyses, both of oblique models and bi-factor. Finally, scoring reliability (alpha coefficient) and construct reliability (omega coefficient) were estimated. This study finds the ICS items to be clear and relevant, a greater empirical support for the unidimensional model as its internal structure, and an adequate reliability. In conclusion there is favorable evidence of validity and reliability for the application of the ICS in Peruvian companies as a useful tool to measure the innovative climate perceived by its workers, providing information for decision making and planning of innovation strategies and organizational creativity. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Regionalization of Rainfall in the Upper Madeira Basin Based on Interannual and Decadal Variability: A Multi-Seasonal Approach(John Wiley and Sons Ltd, 2023-11-30)Identifying rainfall regions associated with specific modes of variability is of practical interest for water resources management, seasonal forecasting, and mitigation of weather-related risks. This study aims to identify homogeneous rainfall regions within the ~1 million km2 Upper Madeira River basin—southwestern Amazon—by their interannual and decadal variability and relates this variability to ocean indices. An observed dataset of 146 ground-based rainfall stations, distributed throughout the Andes and the Amazon, and homogenized at the monthly time-step for the period 1980–2016, was used for the analysis. With no spatial constraints, hierarchical cluster analysis and principal component analysis (PCA) optimally grouped stations into 10 rainfall homogenous regions. The value of the regionalization for interpreting the rainfall variability was evaluated by relating the seasonal rainfall time series of the regions with ocean indices. Then, by applying PCA to seasonal rainfall series and linking the principal components to sea surface temperature and ocean indices, an insight into the main large-scale drivers of the rainfall spatio-temporal variability in this basin at interannual and decadal scales is provided. This analysis identified differences in the year-round influences of the tropical Pacific and/or Atlantic oceans on the 10 homogenous regions.