Validation of multivariate calibration models in the determination of sugar cane quality parameters by near infrared spectroscopy

The determination of soluble solids (BRIX), polarizable sugars (POL) and reducing sugars (RS) sugar cane juice by using near infrared spectroscopy (NIR) and multivariate calibration was developed and validated by calculation of figures of merit. Due to the heterogeneity of the samples, first it was necessary to optimize the calibration set by outlier elimination. The figures of merit such as: sensitivity, analytical sensitivity, selectivity, confidence limit, precision (mean, repeatability), accuracy and signal-to-noise ratio were calculated. Feasible results were obtained for BRIX and POL with RMSEP values of 0.28 and 0.42% of juice and precision of 0.02 and 0.08% of juice, respectively. For both BRIX and POL goodness of fit showed correlation coefficients of 0.99. These results indicate that the models developed for BRIX and POL can be used as an alternative to standard procedures in the sugar cane industry.Os teores de sólidos solúveis (BRIX), açúcares polarizáveis (POL) e açúcares redutores (RS) em caldo de cana foram determinados utilizando espectroscopia na região do infravermelho próximo (NIR) e calibração multivariada, a qual foi validada pelo cálculo das figuras de mérito. Devido à heterogeneidade das amostras, foi necessário, como primeira etapa do trabalho, a otimização dos conjutos de calibração e validação através da eliminação das amostras anômalas (outliers). As figuras de mérito como: sensibilidade, sensibilidade analítica, seletividade, limites de confiança, precisão (média, repetibilidade), exatidão e razão sinal-ruído foram calculadas. Resultados viáveis foram obtidos para BRIX e POL apresentando resultados de RMSEP de 0,28 e 0,42% de caldo, respectivamente. Os coeficientes de correlação para ambos os parâmetros foram de 0,99. Estes resultados indicam que os modelos desenvolvidos para BRIX e POL podem ser seguramente utilizados como uma alternativa em relação ao método padrão utilizado na indústria alcooleira.259266Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES

Researching Cooperation and Communication in Continuous Software Engineering

Continuous Software Engineering (CSE) - -continuous development and deployment of software - -and DevOps - -the close cooperation or integration of operations and software development - -is about to change how software is developed. Together with the tighter integration of development and operations also with usage this will change coordination and collaboration both between IT professionals and between developers and users. In this short paper, we discuss the CHASE dimension of three core research themes that begin to crystallize in literature. This position paper is intended as a 'call to arms' for the CHASE community to study CSE

Multivariate Curve Resolution Of Ph Gradient Flow Injection Mixture Analysis With Correction Of The Schlieren Effect.

Multivariate curve resolution using alternating least squares (MCR-ALS) was used to quantify ascorbic (AA) and acetylsalicylic (ASA) acids in four pharmaceutical samples using a flow injection analysis (FIA) system with pH gradient and a diode array (DAD) spectrometer as a detector. Four different pharmaceutical drugs were analyzed, giving a data array of dimensions 51 x 291 x 61, corresponding respectively to number of samples, FIA times and spectral wavelengths. MCR-ALS was applied to these large data sets using different constraints to have optimal resolution and optimal quantitative estimations of the two analytes (AA and ASA). Since both analytes give an acid-basic pair of species contributing to the UV recorded signal, at least four components sholuld be proposed to model AA and ASA in synthetic mixture samples. Moreover, one additional component was needed to resolve accurately the Schlieren effect and another additional component was also needed to model the presence of possible interferences (like caffeine) in the commercial drugs tablets, giving therefore a total number of 6 independent components needed. The best quantification relative errors were around 2% compared to the reference values obtained by HPLC and by the oxidation-reduction titrimetric method, for ASA and AA respectively. In this work, the application of MCR-ALS allowed for the first time the full resolution of the FIA diffusion profile due to the Schlieren effect as an independent signal contribution, suggesting that the proposed MCR-ALS method allows for its accurate correction in FIA-DAD systems.133774-8

As Catholic Schools Become More Diverse, How Should We Prepare New Catholic School Educators for Inclusive Schools? An Analysis of Research on University and Diocesan Teacher Training

Educators can improve academic and socio-emotional wellbeing of their students if they are equipped with strategies and skills to support learners and families from a variety of diverse backgrounds and experiences, such as culturally and linguistically diverse students, students with differing abilities, and those who may experience trauma and/or socio-economic challenges. To learn more about this topic a Catholic university and local diocese examined the literature on the impact of Catholic teachers in under-resourced schools, practices for training Catholic educators with skills to meet the needs of all learners, and the structures needed to ensure that diocesan and university supervisors are able to effectively support the development of new teachers. The synthesis of research is organized using the three pillars of the University Consortium of Catholic Education (UCCE): service through teaching, community connections, and spiritual development. The review resulted in the following recommendations: train teachers in culturally responsive practices, incentivize educator collaboration, train supervisors in inclusive practices with purposeful faith-based integration, and mentor principals in effective methods of coaching and supporting teachers

State of the art of figures of merit in multivariate calibration

The validation of an analytical procedure must be certified through the determination of parameters known as figures of merit. For first order data, the acuracy, precision, robustness and bias is similar to the methods of univariate calibration. Linearity, sensitivity, signal to noise ratio, adjustment, selectivity and confidence intervals need different approaches, specific for multivariate data. Selectivity and signal to noise ratio are more critical and they only can be estimated by means of the calculation of the net analyte signal. In second order calibration, some differentes approaches are necessary due to data structure.12781287Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq

Estado da arte de figuras de mérito em calibração multivariada

The validation of an analytical procedure must be certified through the determination of parameters known as figures of merit. For first order data, the acuracy, precision, robustness and bias is similar to the methods of univariate calibration. Linearity, sensitivity, signal to noise ratio, adjustment, selectivity and confidence intervals need different approaches, specific for multivariate data. Selectivity and signal to noise ratio are more critical and they only can be estimated by means of the calculation of the net analyte signal. In second order calibration, some differentes approaches are necessary due to data structure