Cargando…
An Electrochemical Impedance Spectroscopy-Based Technique to Identify and Quantify Fermentable Sugars in Pineapple Waste Valorization for Bioethanol Production
Electrochemical Impedance Spectroscopy (EIS) has been used to develop a methodology able to identify and quantify fermentable sugars present in the enzymatic hydrolysis phase of second-generation bioethanol production from pineapple waste. Thus, a low-cost non-destructive system consisting of a stai...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4610418/ https://www.ncbi.nlm.nih.gov/pubmed/26378537 http://dx.doi.org/10.3390/s150922941 |
_version_ | 1782395932453634048 |
---|---|
author | Conesa, Claudia García-Breijo, Eduardo Loeff, Edwin Seguí, Lucía Fito, Pedro Laguarda-Miró, Nicolás |
author_facet | Conesa, Claudia García-Breijo, Eduardo Loeff, Edwin Seguí, Lucía Fito, Pedro Laguarda-Miró, Nicolás |
author_sort | Conesa, Claudia |
collection | PubMed |
description | Electrochemical Impedance Spectroscopy (EIS) has been used to develop a methodology able to identify and quantify fermentable sugars present in the enzymatic hydrolysis phase of second-generation bioethanol production from pineapple waste. Thus, a low-cost non-destructive system consisting of a stainless double needle electrode associated to an electronic equipment that allows the implementation of EIS was developed. In order to validate the system, different concentrations of glucose, fructose and sucrose were added to the pineapple waste and analyzed both individually and in combination. Next, statistical data treatment enabled the design of specific Artificial Neural Networks-based mathematical models for each one of the studied sugars and their respective combinations. The obtained prediction models are robust and reliable and they are considered statistically valid (CCR% > 93.443%). These results allow us to introduce this EIS-based technique as an easy, fast, non-destructive, and in-situ alternative to the traditional laboratory methods for enzymatic hydrolysis monitoring. |
format | Online Article Text |
id | pubmed-4610418 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-46104182015-10-26 An Electrochemical Impedance Spectroscopy-Based Technique to Identify and Quantify Fermentable Sugars in Pineapple Waste Valorization for Bioethanol Production Conesa, Claudia García-Breijo, Eduardo Loeff, Edwin Seguí, Lucía Fito, Pedro Laguarda-Miró, Nicolás Sensors (Basel) Article Electrochemical Impedance Spectroscopy (EIS) has been used to develop a methodology able to identify and quantify fermentable sugars present in the enzymatic hydrolysis phase of second-generation bioethanol production from pineapple waste. Thus, a low-cost non-destructive system consisting of a stainless double needle electrode associated to an electronic equipment that allows the implementation of EIS was developed. In order to validate the system, different concentrations of glucose, fructose and sucrose were added to the pineapple waste and analyzed both individually and in combination. Next, statistical data treatment enabled the design of specific Artificial Neural Networks-based mathematical models for each one of the studied sugars and their respective combinations. The obtained prediction models are robust and reliable and they are considered statistically valid (CCR% > 93.443%). These results allow us to introduce this EIS-based technique as an easy, fast, non-destructive, and in-situ alternative to the traditional laboratory methods for enzymatic hydrolysis monitoring. MDPI 2015-09-11 /pmc/articles/PMC4610418/ /pubmed/26378537 http://dx.doi.org/10.3390/s150922941 Text en © 2015 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Conesa, Claudia García-Breijo, Eduardo Loeff, Edwin Seguí, Lucía Fito, Pedro Laguarda-Miró, Nicolás An Electrochemical Impedance Spectroscopy-Based Technique to Identify and Quantify Fermentable Sugars in Pineapple Waste Valorization for Bioethanol Production |
title | An Electrochemical Impedance Spectroscopy-Based Technique to Identify and Quantify Fermentable Sugars in Pineapple Waste Valorization for Bioethanol Production |
title_full | An Electrochemical Impedance Spectroscopy-Based Technique to Identify and Quantify Fermentable Sugars in Pineapple Waste Valorization for Bioethanol Production |
title_fullStr | An Electrochemical Impedance Spectroscopy-Based Technique to Identify and Quantify Fermentable Sugars in Pineapple Waste Valorization for Bioethanol Production |
title_full_unstemmed | An Electrochemical Impedance Spectroscopy-Based Technique to Identify and Quantify Fermentable Sugars in Pineapple Waste Valorization for Bioethanol Production |
title_short | An Electrochemical Impedance Spectroscopy-Based Technique to Identify and Quantify Fermentable Sugars in Pineapple Waste Valorization for Bioethanol Production |
title_sort | electrochemical impedance spectroscopy-based technique to identify and quantify fermentable sugars in pineapple waste valorization for bioethanol production |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4610418/ https://www.ncbi.nlm.nih.gov/pubmed/26378537 http://dx.doi.org/10.3390/s150922941 |
work_keys_str_mv | AT conesaclaudia anelectrochemicalimpedancespectroscopybasedtechniquetoidentifyandquantifyfermentablesugarsinpineapplewastevalorizationforbioethanolproduction AT garciabreijoeduardo anelectrochemicalimpedancespectroscopybasedtechniquetoidentifyandquantifyfermentablesugarsinpineapplewastevalorizationforbioethanolproduction AT loeffedwin anelectrochemicalimpedancespectroscopybasedtechniquetoidentifyandquantifyfermentablesugarsinpineapplewastevalorizationforbioethanolproduction AT seguilucia anelectrochemicalimpedancespectroscopybasedtechniquetoidentifyandquantifyfermentablesugarsinpineapplewastevalorizationforbioethanolproduction AT fitopedro anelectrochemicalimpedancespectroscopybasedtechniquetoidentifyandquantifyfermentablesugarsinpineapplewastevalorizationforbioethanolproduction AT laguardamironicolas anelectrochemicalimpedancespectroscopybasedtechniquetoidentifyandquantifyfermentablesugarsinpineapplewastevalorizationforbioethanolproduction AT conesaclaudia electrochemicalimpedancespectroscopybasedtechniquetoidentifyandquantifyfermentablesugarsinpineapplewastevalorizationforbioethanolproduction AT garciabreijoeduardo electrochemicalimpedancespectroscopybasedtechniquetoidentifyandquantifyfermentablesugarsinpineapplewastevalorizationforbioethanolproduction AT loeffedwin electrochemicalimpedancespectroscopybasedtechniquetoidentifyandquantifyfermentablesugarsinpineapplewastevalorizationforbioethanolproduction AT seguilucia electrochemicalimpedancespectroscopybasedtechniquetoidentifyandquantifyfermentablesugarsinpineapplewastevalorizationforbioethanolproduction AT fitopedro electrochemicalimpedancespectroscopybasedtechniquetoidentifyandquantifyfermentablesugarsinpineapplewastevalorizationforbioethanolproduction AT laguardamironicolas electrochemicalimpedancespectroscopybasedtechniquetoidentifyandquantifyfermentablesugarsinpineapplewastevalorizationforbioethanolproduction |