Monitoring of monosaccharides, oligosaccharides, ethanol and glycerol during wort fermentation by biosensors, HPLC and spectrophotometry

Monošík, Rastislav; Magdolen, Peter; Stredansky, Matuš; Šturdı́k, Ernest

doi:10.1016/j.foodchem.2012.10.039

Cited by 40 publications

(13 citation statements)

References 24 publications

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“…Various analytical methods have been reported for the determination of sugars and ethanol such as, high performance liquid chromatography (HPLC)/refractometry detection , fluorimetry , spectrophotometry , gas chromatography (GC)/mass spectrometry (MS) , capillary electrophoresis and near infrared spectroscopy . However, the most used methods for ethanol analysis are colorimetric enzymatic assay which is based on the catalyzed oxidation of ethanol by the enzyme alcohol dehydrogenase and the gas chromatographic (GC) method, which directly quantifies the ethanol in the sample .…”

Section: Introductionmentioning

confidence: 99%

Multivariate Determination of Total Sugar Content and Ethanol in Bioethanol Production Using Carbon Electrodes Modified with MWCNT/MeOOH and Chemometric Data Treatment

et al. 2018

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This work reports the characterization and application of a voltammetric electronic tongue using an array of glassy carbon electrodes modified with multi‐walled carbon nanotubes containing metal (Pd, Au, Cu) and oxy‐hydroxide nanoparticles (MetalsOOH of Ni, Co) towards the determination of total sugar content in products related with sugarcane‐bioethanol production. The prediction model based on Artificial Neural Networks (ANN) has given satisfactory results for the carbohydrate sum and the obtained response had shown an adequate accuracy. Voltammetric data was first adapted for the computation using the Fast Fourier transform, and results from the electronic tongue approach were compared with use of different electrodes alone. Final performance was better using uniquely the Ni oxy‐hydroxide modified electrode, especially in the quantification of ethanol, a side‐effect of counter‐balancing its interference.

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Section: Introductionmentioning

confidence: 99%

Multivariate Determination of Total Sugar Content and Ethanol in Bioethanol Production Using Carbon Electrodes Modified with MWCNT/MeOOH and Chemometric Data Treatment

et al. 2018

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“…In recent years, a number of methods have been developed for detection of monosaccharides in polysaccharides, including GC , GC–MS , HPLC , HPLC–MS , high‐performance gel filtration chromatography with evaporative light scattering detector (HPGFC–ELSD), and high‐performance gel capillary electrophoresis coupled to LIF . However, the above methods have their limitations in separation, resolution, and detection sensitivity.…”

Section: Introductionmentioning

confidence: 99%

Simultaneous determination of 13 carbohydrates using high‐performance anion‐exchange chromatography coupled with pulsed amperometric detection and mass spectrometry

Zhao

Feng

Yuan

et al. 2017

J of Separation Science

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A simple, accurate, and highly sensitive method was developed for the determination of 13 carbohydrates in polysaccharide of Spirulina platensis based on high-performance anion-exchange chromatography coupled with pulsed amperometric detection and mass spectrometry. Samples were extracted with deionized water using ultrasonic-assisted extraction, and the ultrasound-assisted extraction conditions were optimized by Box-Behnken design. Then the extracted polysaccharide was hydrolyzed by adding 1 mol/L trifluoroacetic acid before determination by high-performance anion-exchange chromatography coupled with pulsed amperometric detection and confirmed by high-performance anion-exchange chromatography coupled with mass spectrometry. The high-performance anion-exchange chromatography coupled with pulsed amperometric detection method was performed on a CarboPac PA20 column by gradient elution using deionized water, 0.1 mol/L sodium hydroxide solution, and 0.4 mol/L sodium acetate solution. Excellent linearity was observed in the range of 0.05-10 mg/L. The average recoveries ranged from 80.7 to 121.7%. The limits of detection and limits of quantification for 13 carbohydrates were 0.02-0.10 and 0.2-1.2 μg/kg, respectively. The developed method has been successfully applied to ambient samples, and the results indicated that high-performance anion-exchange chromatography coupled with pulsed amperometric detection and mass spectrometry could provide a rapid and accurate method for the simultaneous determination of carbohydrates.

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“…Therefore, high sensitivity, selectivity and accuracy detection of glucose and ethanol was of great importance in environmental and biomedical research in recent years. Different analytical methods for the detection of glucose and ethanol have been reported, such as electrochemical and optical methods . Among these methods, electrochemical sensors based on electrocatalysis of small molecules over advanced nanomaterials have received considerable attention with the advantages of high sensitivity, easy operation and fast detection of target molecules .…”

Section: Introductionmentioning

confidence: 99%

Efficient Electrocatalyst for Glucose and Ethanol Based on Cu/Ni/N‐Doped Graphene Hybrids

Jiang

Cai

et al. 2017

ChemElectroChem

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Copper/nickel nanoparticle-decorated N-doped graphene (Cu/ Ni/N-graphene) hybrids were prepared by using a solvothermal method, and further employed as a sensing material for fabricating a sensitive non-enzymatic glucose and ethanol sensor. Compared with Cu, Cu/N-graphene, Ni, Ni/N-graphene, Cu 50 /Ni 50 nanoparticles, and Cu 51 /Ni 49 /graphene, the Cu 52 /Ni 48 /Ngraphene showed enhanced electrochemical activity to glucose and ethanol oxidation, owing to the synergetic effects of Cu and Ni together with N-graphene sheets in the hybrids. The results showed that the Cu 52 /Ni 48 /N-graphene hybrid-modified electrode exhibited excellent performance for glucose detection with a wider linear range (from 0.5 mM to 4.6 mM), lower limit of detection (0.2 mM, S/N = 3), and higher sensitivity (1847.56 mA mM À1 cm À2 ) than other modified electrodes. Furthermore, the presented non-enzymatic sensor also displayed a good response toward ethanol oxidation with a wide linear range from 0.2 to 37.1 mM, lower detection limit of 0.1 mM (S/ N = 3), and faster response time (5 s). These results indicated that the excellent properties could promote the potential application of the bimetals and N-graphene sheets as enhanced materials in constructing non-enzymatic sensors for electrochemical analysis.

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Monitoring of monosaccharides, oligosaccharides, ethanol and glycerol during wort fermentation by biosensors, HPLC and spectrophotometry

Cited by 40 publications

References 24 publications

Multivariate Determination of Total Sugar Content and Ethanol in Bioethanol Production Using Carbon Electrodes Modified with MWCNT/MeOOH and Chemometric Data Treatment

Multivariate Determination of Total Sugar Content and Ethanol in Bioethanol Production Using Carbon Electrodes Modified with MWCNT/MeOOH and Chemometric Data Treatment

Simultaneous determination of 13 carbohydrates using high‐performance anion‐exchange chromatography coupled with pulsed amperometric detection and mass spectrometry

Efficient Electrocatalyst for Glucose and Ethanol Based on Cu/Ni/N‐Doped Graphene Hybrids

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