Electrochemical determination of total reducing sugars from bioethanol production using glassy carbon electrode modified with graphene oxide containing copper nanoparticles

Santos, Flávia Camilo Unterman; Paim, Leonardo Lataro; Silva, José Luiz da; Stradiotto, Nelson Ramos

doi:10.1016/j.fuel.2015.09.046

Cited by 33 publications

(13 citation statements)

References 43 publications

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“…The analytical method for total reducing sugars determination in residual water samples was developed based on research concerning sugarcane processing for bioethanol production (Santos et al 2016). A number of kinetic models for the biomass fermentation operations for the production of bioethanol have been reported (Lee and Fan 1983;Ezhumalai and Thangavelu 2010).…”

Section: Introductionmentioning

confidence: 99%

Dynamic Analysis of Bioethanol Production from Corn Stover and Immobilized Yeast

Tian¹,

Chen²

2016

BioResources

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The use of low cost and abundant corn stover in yeast fermentation can reduce product costs. In this study, bioethanol was produced from a hydrolysate of corn stover using immobilized yeast. A kinetic model was established for the total reducing sugar consumption and the production of bioethanol. The parameter estimation for kinetic modeling considered the main process variables during bioethanol production from corn stover. Total reducing sugar concentrations decreased exponentially in the bioethanol fermentation for 6 h; consumption was more than 90%. To use kinetic modelling of yeast growth for bioethanol fermentation, the value of μmax reached 0.2891 h -1 , and the matrix inhibition constant (KIS) and production inhibition constant (KIP) were 8.9154 g/dm 3 and 0.00676 g/dm 3 , respectively. To use kinetic modelling of fermentation time on bioethanol, the maximum ratio of bioethanol production rate (qmax) reached 1.427 g/g•L. However, KIS was 2.813 g/dm 3 , and KIP was 0.0149 g/dm 3 .

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Section: Introductionmentioning

confidence: 99%

Dynamic Analysis of Bioethanol Production from Corn Stover and Immobilized Yeast

Tian¹,

Chen²

2016

BioResources

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“…The loading plots for PC1 and PC2 of the graphite, iron, and nickel electrodes (Figure 5) con rmed that the external samples present higher current intensity, mainly in the region of 0.6 -1.0 V. This result is in agreement with the plots of the average signal of the electrodes for each honey class (Figure 2). It has been reported that electrodes containing copper nanoparticles respond to the presence of carbohydrates by exhibiting characteristic peaks due to irreversible oxidation at approximately 0.70 V. It has been suggested that copper nanoparticles play a prominent role in glucose and fructose oxidation due to their electrocatalytic property (Santos et al 2016). However, in our results, the copper electrode did not discriminate the samples with the same performance observed for graphite, iron, and nickel electrodes.…”

Section: Resultsmentioning

confidence: 99%

Honey origin authentication using cyclic voltammetry and nanostructured carbon electrodes

Anizelli

Santos

Ribeiro

et al. 2022

Preprint

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Honey is a sweet substance that bees produce from the nectar of flowers. The geographic origin is an intrinsic factor for the characteristics of honey, which are evaluated through physicochemical analyzes that demand high analysis time and cost. Cyclic voltammetry can be used as an alternative analytical tool for the discrimination of honey samples, being a fast, simple, and inexpensive technique. This study aimed to apply cyclic voltammetry for honey origin authentication from Ortigueira (Paraná – Brazil) using graphite electrodes modified with nanoparticles of nickel oxide, iron oxide, copper oxide, and carbon nanotubes. The voltammograms collected were treated using chemometric methods for exploratory analysis and classification. The principal component analysis (PCA) demonstrated that cyclic voltammetry had better discrimination performance than the physicochemical analysis. The best classification model (PLS-DA) was also obtained with data from cyclic voltammetry with a percentage of correct classification for the prediction set of 94.44%. On the other hand, the PLS-DA model with physicochemical data achieved 88.57% of correct classification in the prediction set. The PLS-DA model using the voltammograms obtained with the developed electrodes showed more accuracy and greater selectivity when compared to the PLS-DA model built with the physicochemical data. Furthermore, the electrochemical system developed has low cost and allows quick analyzes that can be applied to verify the authenticity of the geographical origin of honey samples.

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“…8,9 Studies have also been conducted with sensors using graphite or graphene for applications in many different fields. 1,[10][11][12][13][14][15][16][17][18][19][20][21] Nanotechnology brings advantages, such as improved surface kinetics, accelerated electrochemical reactions (due to a larger electroactive surface), and better electrode selectivity, as well as providing a stable support and active sites for functionalization. Nanostructured materials may also increase the adsorption of analytes on the electrode surface, thus increasing the analytical sensitivity.…”

Section: Introductionmentioning

confidence: 99%

Development of modified graphite electrodes with nanoparticles and their application in the quantification of sucrose

Santos

Ribeiro

Oliveira

et al. 2022

J of Chemical Tech & Biotech

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BACKGROUND Developing fast and reliable methods with little sample preparation has become increasingly important for process monitoring and control. Electrochemical methods stand out for their low cost and instrumental simplicity. Furthermore, electrodes with nanoparticles can improve the method's sensitivity and specificity. This study developed carbon paste electrodes modified with nanoparticles of copper and iron. In addition, cyclic voltammetry was performed using a low‐cost potentiostat designed for a Raspberry Pi single‐board computer. As a proof of concept, the constructed electrodes were tested with ferrocyanide and applied to quantify sucrose, and their performance was compared to that of the glassy carbon electrode. RESULTS The nanoparticles were successfully synthesized, as confirmed by morphology and physicochemical characterization. Based on the adjusted R2, the electrode made with the addition of copper oxide nanoparticles has a similar performance to the commercial glassy carbon electrode. All electrodes' root mean square error (RMSE) values were approximately 10−4 mol L−1. The lowest values for the inverse of the analytical sensitivity for sucrose were obtained for the unmodified carbon paste electrode (9.54 × 10−6 mol L−1) and copper oxide nanoparticles electrode (5.30 × 10−6 mol L−1). These electrodes also had the lowest limits of detection (10−5 mol L−1) and, for the limit of quantification, all electrodes had similar values (10−2 mol L−1). CONCLUSION In general, superior performance of carbon paste electrodes was observed concerning the commercial glassy carbon electrodes. Compared to previous studies, the developed electrodes showed good sensitivity and the low cost of the electrochemical system stands out as the main advantage. © 2022 Society of Chemical Industry (SCI).

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Electrochemical determination of total reducing sugars from bioethanol production using glassy carbon electrode modified with graphene oxide containing copper nanoparticles

Cited by 33 publications

References 43 publications

Dynamic Analysis of Bioethanol Production from Corn Stover and Immobilized Yeast

Dynamic Analysis of Bioethanol Production from Corn Stover and Immobilized Yeast

Honey origin authentication using cyclic voltammetry and nanostructured carbon electrodes

Development of modified graphite electrodes with nanoparticles and their application in the quantification of sucrose

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