Practical guidelines for reporting results in single- and multi-component analytical calibration: A tutorial

Olivieri, Alejandro C.

doi:10.1016/j.aca.2015.01.017

Cited by 277 publications

(122 citation statements)

References 54 publications

(97 reference statements)

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“…The linearity of the curves were also evaluated according to the statistical F test. 25,26 For both techniques, the calculated F values (0.050 and 0.164 for UV-Vis and image method, respectively) were smaller than the critical F value (6.39, α = 0.05) for a confidence level of 95%, proving the linearity of the calibration curves. In addition, the low values of bias found for both methods indicate absence of systematic error.…”

Section: Resultsmentioning

confidence: 98%

“…The limit of detection (LOD) and quantification (LOQ) were estimated for the image method using the modern IUPAC recommendation, 25 and they were equal to 0.055 and 0.166 mg L , respectively. Although the LOD and LOQ values calculated for the image method are slightly elevated, they do not affect the analysis of commercial vitamin C samples, since its content in solution is much higher.…”

Section: Image Analysis Applied To Commercial Vitamin C Tabletsmentioning

confidence: 99%

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Colorimetric Determination of Ascorbic Acid Based on Its Interfering Effect in the Enzymatic Analysis of Glucose: An Approach Using Smartphone Image Analysis

Coutinho¹,

Morais²,

Neves³

et al. 2017

J. Braz. Chem. Soc.

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The use of digital image analysis as an analytical tool is a reality nowadays, and the use of smartphones stands out due to its high accessibility and practicality. Ascorbic acid (AA) is a natural and essential vitamin available as a supplement as a result of its use in preventing and treating several pathologies. This paper reports a simple, fast and low cost method using smartphone image analysis for quantification of AA based on its interfering effect in the enzymatic colorimetric detection of glucose. Commercial vitamin C tablets were used as prediction set for AA quantification, showing very satisfactory results (relative errors < 4%), where no statistical difference at a 95% confidence level was observed between the AA content estimated by the imaging method and the labeled reference values. As advantages, this method does not use expensive reagents neither laborious procedures to carry out the analysis.

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Section: Resultsmentioning

confidence: 98%

Section: Image Analysis Applied To Commercial Vitamin C Tabletsmentioning

confidence: 99%

Colorimetric Determination of Ascorbic Acid Based on Its Interfering Effect in the Enzymatic Analysis of Glucose: An Approach Using Smartphone Image Analysis

Coutinho¹,

Morais²,

Neves³

et al. 2017

J. Braz. Chem. Soc.

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“…Statistical models can be evaluated using many of the same techniques also used by mechanistic models (Olivieri, 2015;Seinfeld and Pandis, 2016). In this section, we describe methods for evaluating overall performance (Section 3.2.1) and occurrence of systematic errors (Section 3.2.2).…”

Section: Model Evaluationmentioning

confidence: 99%

Atmospheric particulate matter characterization by Fourier Transform Infrared spectroscopy: a review of statistical calibration strategies for carbonaceous aerosol quantification in US measurement networks

Takahama¹,

Dillner²,

Weakley³

et al. 2018

Preprint

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Abstract.Atmospheric particulate matter (PM) is a complex mixture of many different substances, and requires a suite of instruments for chemical characterization. Fourier Transform Infrared (FT-IR) spectroscopy is a technique that can provide quantification of multiple species provided that accurate calibration models can be constructed to interpret the acquired spectra. In this capacity, FT-IR has enjoyed a long history in monitoring gas-phase constituents in the atmosphere and in stack emissions. However, 5 application to PM poses a different set of challenges as the condensed-phase spectrum has broad, overlapping absorption peaks and contributions of scattering to the mid-infrared spectrum. Past approaches have used laboratory standards to build calibration models for prediction of inorganic substances or organic functional groups and predicting their concentration in atmospheric PM mixtures by extrapolation.In this work, we review recent studies pursuing an alternate strategy, which is to build statistical calibration models for mid-10

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“…The CLS approach is therefore not a viable option for this application and a different 8 calibration method was chosen. Because of its ability to overcome problems like collinearity and interactions, PLS regression has been widely used for such cases of first-order multivariate calibration [46,47] and was therefore chosen for this application. A good overview of the method is given by Martens and Naes [48].…”

Section: Analysis Of Uv-vis Spectramentioning

confidence: 99%

On-line liquid quench sampling and UV–Vis spectroscopy for tar measurements in wood gasification process gases

Edinger

Schneebeli

Struis

et al. 2016

Fuel

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In biomass gasification processes, the formation and handling of tars are of major concern. Robust and versatile analytical tools are needed to on-line monitor tar compound concentrations in process gases from lab-to industrial scale. This study addresses the development and application of an on-line UV-Vis method, based on a liquid quench sampling system. The high sensitivity of this method allows to detect UV-Vis active tar compounds in the low ppmv region. Recorded spectra from the liquid phase were analyzed for their tar composition by means of a classical least squares (CLS) and partial least squares (PLS) approach. The developed method was applied to two case studies, involving a lab-scale tar reformer and a pilot-scale gas scrubber. Quantification results in gases with limited complexity in tar composition showed good agreement with off-line reference methods (GC-FID). The case studies show that the developed method is a rapid, sensitive tool that can be applied for qualitative process monitoring with the added benefit of quantification in gases with a limited number of tar compounds.

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Practical guidelines for reporting results in single- and multi-component analytical calibration: A tutorial

Cited by 277 publications

References 54 publications

Colorimetric Determination of Ascorbic Acid Based on Its Interfering Effect in the Enzymatic Analysis of Glucose: An Approach Using Smartphone Image Analysis

Colorimetric Determination of Ascorbic Acid Based on Its Interfering Effect in the Enzymatic Analysis of Glucose: An Approach Using Smartphone Image Analysis

Atmospheric particulate matter characterization by Fourier Transform Infrared spectroscopy: a review of statistical calibration strategies for carbonaceous aerosol quantification in US measurement networks

On-line liquid quench sampling and UV–Vis spectroscopy for tar measurements in wood gasification process gases

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