An automatic flow injection analysis procedure for photometric determination of ethanol in red wine without using a chromogenic reagent

Borges, Sivanildo S.; Frizzarin, Rejane M.; Reis, Boaventura F.

doi:10.1007/s00216-006-0377-6

Cited by 16 publications

(7 citation statements)

References 25 publications

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“…This goal is also successfully attained by miniaturization, including µ-FIA and lab-on-valve. However, the potential of flow analysis to GAC is significantly wider, involving reagentless procedures [ 131 , 132 ], replacement of toxic reagents [ 133 , 134 ], reuse of reagents [ 116 , 135 ], vegetable natural extracts as source of reagents [ 136 ] and enzymes [ 137 ], as well as in-line waste treatment [ 134 , 138 ]. A wide discussion of this topic is available elsewhere [ 3 ].…”

Section: Highlights Of Chemical Derivatization In Flow Analysismentioning

confidence: 99%

Chemical Derivatization in Flow Analysis

Rocha

Zagatto

2022

Molecules

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Chemical derivatization for improving selectivity and/or sensitivity is a common practice in analytical chemistry. It is particularly attractive in flow analysis in view of its highly reproducible reagent addition(s) and controlled timing. Then, measurements without attaining the steady state, kinetic discrimination, exploitation of unstable reagents and/or products, as well as strategies compliant with Green Analytical Chemistry, have been efficiently exploited. Flow-based chemical derivatization has been accomplished by different approaches, most involving flow and manifold programming. Solid-phase reagents, novel strategies for sample insertion and reagent addition, as well as to increase sample residence time have been also exploited. However, the required alterations in flow rates and/or manifold geometry may lead to spurious signals (e.g., Schlieren effect) resulting in distorted peaks and a noisy/drifty baseline. These anomalies can be circumvented by a proper flow system design. In this review, these aspects are critically discussed mostly in relation to spectrophotometric and luminometric detection.

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Section: Highlights Of Chemical Derivatization In Flow Analysismentioning

confidence: 99%

Chemical Derivatization in Flow Analysis

Rocha

Zagatto

2022

Molecules

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“…Development of flow-based reagentless procedures can be exemplified by the determination of ethanol in beverages by exploiting the effect of the analyte on the surface tension of aqueous solutions (Borges et al 2006) or the Schlieren effect (Costa et al 2004). In the former, sample drops were reproductively generated between an infrared leD and a phototransistor.…”

Section: Flow Analysismentioning

confidence: 99%

An overview of the Brazilian contributions to Green Analytical Chemistry

Gama

Melchert

Paixão

et al. 2019

An. Acad. Bras. Ciênc.

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Green Analytical Chemistry (GAC) is a research field that seeks for more sustainable analytical approaches to minimize the toxicity and amounts of wastes without hindering the analytical performance. This is a trend in Analytical Chemistry worldwide and because of the diversity of innovations on this subject, Brazil stands out as the third in the list of the main contributors to GAC, with ca. 11.2% of the published articles. Significant innovations and interesting applications in several fields have been presented and Brazil is continuously moving from Chemistry to Green Chemistry also in the Analytical Chemistry field. Selected contributions for sample preparation, spectro-and electroanalysis, separation techniques, chemometrics, and also procedures for point-of-care measurements are critically reviewed.

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“…However, the techniques employed are tedious, expensive, time consuming and require sample preparation [12].…”

Section: Introductionmentioning

confidence: 99%

Partial least squares−near infrared spectrometric determination of ethanol in distilled alcoholic beverages

Debebe¹,

Temesgen²,

Abshiro³

et al. 2017

Bull. Chem. Soc. Eth.

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ABSTRACT. In this study, using near infrared (NIR) spectrometrypartial least squares (PLS) calibration model was used for the determination of ethanol content in distilled alcoholic beverages. In NIR, 1660-1720 nm, the PLS modeling and analysis made use of 24 standards which contain 2-15% (w/w) ethanol with 0.1-1% (w/w) methanol. One-half was used for calibration and the other half for validation. Derivative, mean centering and subtracting minimum value were used as data treatment techniques for noise reduction and baseline correction. Mean centering has given the best partial least squares model with R 2 = 0.999 and root mean square error of prediction (RMSEP) = 0.06 for ethanol and R 2 = 0.929 and RMSEP = 0.08 for methanol, respectively. The percentage recovery obtained for ethanol and methanol ranges from 97-98% (w/w). The developed method produced good agreement with reference method, gas chromatography.

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An automatic flow injection analysis procedure for photometric determination of ethanol in red wine without using a chromogenic reagent

Cited by 16 publications

References 25 publications

Chemical Derivatization in Flow Analysis

Chemical Derivatization in Flow Analysis

An overview of the Brazilian contributions to Green Analytical Chemistry

Partial least squares−near infrared spectrometric determination of ethanol in distilled alcoholic beverages

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