scholarly journals Optimization of bioethanol production from soybean molasses using different strains of Saccharomyces cerevisiae

2019 ◽  
Vol 73 (1) ◽  
pp. 1-12 ◽  
Author(s):  
Zorana Roncevic ◽  
Bojana Bajic ◽  
Sinisa Dodic ◽  
Jovana Grahovac ◽  
Radmila Pajovic-Scepanovic ◽  
...  
Keyword(s):  
Fossil Fuels ◽  
Desirability Function ◽  
Sugar Content ◽  
Research Area ◽  
Cell Number ◽  
Research Field ◽  
Bioethanol Production ◽  
Fermentation Time ◽  
Wide Availability ◽  
Different Strains

Bioethanol technology represents an important scientific research area because of the high market value and wide availability of its primary and by-products. Worldwide interest in utilizing bioethanol as a renewable and sustainable energy source has significantly increased in the last few years due to limited reserves of fossil fuels and concerns about climate change. Therefore, improvement of the bioethanol production process is a priority research field at the international scale, due to both economic and environmental reasons. The aim of this study was to optimize production of bioethanol from soybean molasses based media using response surface methodology. Three different strains of the yeast Saccharomices cerevisiae, commercially available in dried form, were used as production microorganisms, and the best results were obtained by using dried baker?s yeast. The results of optimization of alcoholic fermentation using dried baker?s yeast indicate that the highest value of the overall desirability function (0.945) is obtained when the initial sugar content is 18.10 % (w/v) at the fermentation time of 48.00 h. At these conditions the model predicts that bioethanol concentration is 8.40 % (v/v), yeast cell number 2.21?108 cells/mL and the residual sugar content is 0.35 % (w/v).

Lifelog and Information Retrieval from Daily Digital Data: Narrative Review. (Preprint)

2021 ◽  
Author(s):  
Ricardo Ribeiro ◽  
Alina Trifan ◽  
António J. R. Neves
Keyword(s):  
Contextual Information ◽  
Life Quality ◽  
Research Area ◽  
Research Field ◽  
Narrative Review ◽  
Digital Data ◽  
Significant Information ◽  
Memory Problems ◽  
Wide Availability ◽  
And Behaviors

BACKGROUND The wide availability and small size, together with the decrease in pricing of different types of sensors, has made it possible, over the last decade, to acquire a huge amount of data about a person's life in real time. These sensors can be incorporated into personal electronic devices available at reasonable cost, such as smartphones and small wearable devices. They allow the acquisition of images, audio, location, physical activity and physiological signals, among other data. With these data, usually denoted as lifelog data, we can then analyze and understand personal experiences and behaviors. This process is called lifelogging. OBJECTIVE The goal of this article is to review the literature in the research area of lifelogging over the past decade and provide an historical overview on this research topic. To this purpose, we analyze lifelogging applications that monitor and assist people with memory problems. METHODS We follow a narrative review methodology to conduct a comprehensive search of relevant publications in Google Scholar and Scopus databases. In order to find these relevant publication, topic-related keywords were identified and combined based on different lifelogging type of data and applications. RESULTS A total of 124 publications were selected and included in this narrative review. 411 publications were retrieved and screened from the two scholar databases. Out of these, 114 publications were fully reviewed. In addition, 32 more publications were manually included based on our bibliographical knowledge in this research field. CONCLUSIONS The use of personal lifelogs can be beneficial to improve the life quality of people suffering from memory problems, such as dementia. Through the acquisition and analysis of lifelog data, lifelogging systems can create digital memories to be used as surrogate memory. Through this narrative we understand that contextual information can be extracted from the lifelogs and it provides significant information for understanding the daily life of people suffering from memory issues based on events, experiences and behaviors.

scholarly journals Interpreting the neural networkfor prediction of fermentation of thick juice from sugar beet processing

2011 ◽  
pp. 241-249 ◽  
Author(s):  
Aleksandar Jokic ◽  
Jovana Grahovac ◽  
Jelena Dodic ◽  
Zoltan Zavargo ◽  
Sinisa Dodic ◽  
...  
Keyword(s):  
Neural Network ◽  
Sugar Content ◽  
Back Propagation ◽  
Cell Number ◽  
Fermentation Time ◽  
Feed Forward Back Propagation ◽  
Network Connection ◽  
Input Variables ◽  
Thick Juice ◽  
Garson’S Algorithm

Methods that can provide adequate accuracy in the estimation of variables from incomplete information are desirable for the prediction of fermentation processes. A feed-forward back-propagation artificial neural network was used for modelling of thick juice fermentation. Fermentation time and starting sugar content were usedas input variables, i.e. nodes. Neural network had one output node (ethanol content, yeast cell number or sugar content). The hidden layer had nine neurons. Garson's algorithm and connection weights were used for interpreting neural network. The inadequacy of Garson's algorithm can be seen by comparing with the results of regression analysis, which indicates that the influence of the fermentation time is higher. A better agreement of the results was obtained using network connection weights, a method that can be used to determine the relative importance of input variables.

A Novel Immobilization Method of Saccharomyces cerevisiae on Fermentation of Nipa Palm Sap for Fuel Grade Bioethanol Production

2020 ◽  
Vol 849 ◽  
pp. 53-57
Author(s):  
Chairul ◽  
Evelyn ◽  
Syaiful Bahri ◽  
Ella Awaltanova
Keyword(s):  
Saccharomyces Cerevisiae ◽  
Acetic Acid ◽  
Sugar Content ◽  
Yeast Cells ◽  
Eastern Coast ◽  
Bioethanol Production ◽  
Fermentation Time ◽  
Immobilized Yeast ◽  
Immobilized Yeast Cells ◽  
Nipa Palm

Nipa palm (Nypa fruticans) spreads abundantly in the mangrove forests of eastern coast of Sumatera Island, Indonesia. Nipa palm sap can be used as a very high-gravity (VHG) substrate for fermentation. In this research, batch fermentation of nipa sap with initial sugar content of 262.713 mg/ml using immobilized Saccharomyces cerevisiae yeast cells was studied. Immobilization of the yeasts in Na-alginate by droplet method and addition of 0.2% v/v Tween 80 and 0.5g/l ergosterol to the immobilized cells were first carried out. Then, the effect of cells weight percentage (5, 10, 15, and 20% w/v) and fermentation time (24, 36, 48, 60, 72, 84, and 96 hrs) on the bioethanol production were investigated. After, the analysis of bioethanol concentration was investigated using Gas Chromatography. The bioethanol production increased with the fermentation time until reaching a maximum value at all cell weights. Except with the 20% w/v, this peak was followed by a decrease in the bioethanol production at cell weights of 5, 10, and 15% w/v. This phenomenon may be explained by degradation of bioethanol into acetic acid resulting in the decreased concentration at the end of fermentation. The formation of acetic acid was characterized by decreases in the pH values of the fermentation medium. On the contrary, the bioethanol level tended to increase until the end of fermentation with the immobilized yeast cells of 20% w/v. High number of available immobilized yeast cells at the end of fermentation, accumulation of bioethanol produced at earlier times, and no further conversion of bioethanol to acetic acid could be the reasons for this increase. The optimum conditions for bioethanol production were 20% w/v cell weight and 96 hr fermentation time, at bioethanol concentration of 17.57% v/v.

scholarly journals Proses Optimasi Produksi Bioetanol dari Limbah Serat Buah Sawit dengan Metode SHF

Buletin Loupe ◽  
2020 ◽  
Vol 16 (01) ◽  
pp. 60-67
Author(s):  
Edy Wibowo Kurniawan
Keyword(s):  
Production Process ◽  
Alternative Energy ◽  
Renewable Energy Sources ◽  
Sugar Content ◽  
Bioethanol Production ◽  
Palm Fruit ◽  
Fermentation Time ◽  
H2so4 Concentration ◽  
Hydrolysis Method ◽  
The Government

The Indonesian government is trying to equalize development including the energy sector. The government launched the use of alternative energy starting in 2008 with a blueprint for searching and utilizing new renewable energy sources in Indonesia through biofuels, one of the alternative energy developed is bioethanol. The research objective is the optimization of the SHF method bioethanol production process from palm fruit fiber waste. The experimental design uses central composite design with variable H2SO4 concentration and fermentation time. The first stage in the study was by saccharifying the palm oil fiber waste by the hydrolysis method using H2SO4 (concentrations of 1 M, 2 M, and 3 M). Then the next stage is fermentation process (fermentation time is 1 day, 2 days, 3 days, 4 days and 5 days). Sugar content analysis was carried out in the fermen solution and analysis of bioethanol levels in each running experiment. Then the optimization is done with the response surface method (RSM). Based on the research, the optimum condition of the bioethanol production process is H2SO4 concentration of 2.76 M with a fermentation time of 4.64 days which will produce bioethanol levels of 28.6027 g/L.

scholarly journals Low-Carbon Alcohol Fuels for Decarbonizing the Road Transportation Industry: A Bibliometric Analysis 2000-2021

2021 ◽  
Author(s):  
Chao Jin ◽  
Jeffrey Dankwa Ampah ◽  
Sandylove Afrane ◽  
Zenghui Yin ◽  
Xin Liu ◽  
...  
Keyword(s):  
Bibliometric Analysis ◽  
Alternative Fuels ◽  
Fossil Fuels ◽  
Research Area ◽  
Global Scale ◽  
Research Field ◽  
Transport Sector ◽  
Low Carbon ◽  
Road Transportation ◽  
Performance And Emission

Abstract Environmental pollution and depletion of resources from the combustion of fossil fuels have necessitated the need for biofuels in recent years. Oxygenated fuels such as low carbon alcohols have received significant attention from the scientific community in the last two decades as a strategy to decarbonize the transport sector. However, a documentation of the progress, paradigm, and trend of this research area on a global scale is currently limited. In the current study, the bibliometric analysis is adopted to analyze the global transition of automotive fuels from conventional oils to low carbon alcohols in the 21st century. A dataset of 2250 publications was extracted from the Web of Science Core database and analyzed with CiteSpace, Biblioshiny, and Bibexcel. Interest in methanol and ethanol combustion research as transportation fuels is increasing, with a 70% estimated growth by the end of the next decade compared to current levels. China, India, and USA have been the major players in the research field, with Tianjin University being the most influential institution. Research has primarily centered on the combustion, performance, and emission characteristics of ethanol fuel. Alternative fuels to compete actively with low carbon fuel in the near foreseeable future are green hydrogen and biodiesel. Advanced combustion technologies and artificial intelligence are sure to increase in this research area in the coming decades.

scholarly journals Transformation of lignocellulose from corn stove for bioethanol production

2021 ◽  
Vol 3 (1) ◽  
pp. 44-48
Author(s):  
Numchok Manmai ◽  
Yuwalee Unpaprom ◽  
Ramaeshprabu Ramaraj ◽  
Keng-Tung Wu
Keyword(s):  
Saccharomyces Cerevisiae ◽  
Fossil Fuels ◽  
Renewable Energy Sources ◽  
Enzymatic Saccharification ◽  
Environmental Issues ◽  
Energy Sources ◽  
Bioethanol Production ◽  
Fermentation Time ◽  
Separate Hydrolysis And Fermentation ◽  
Petroleum Fuels

The use of fossil fuels, as well as the environmental issues associated with their burning, has pushed for the development of clean, renewable energy sources. Biofuels made from lignocellulosic biomass are considered a carbon-neutral and sustainable method. As the demand for non-petroleum fuels grows, more attention will be placed on developing a cost-competitive liquid transportation biofuel like ethanol. This study was conducted to produce bioethanol utilizing the SHF (separate hydrolysis and fermentation) technique from corn stove lignocellulose. Pretreatment with sodium hydroxide at various concentrations was also studied. The influence of enzymatic saccharification, fermentation time, and substrate concentration on sugar yield and, eventually, ethanol production was investigated. Fermentation was carried out by using the enzymatically saccharified hydrolysate and monoculture of Saccharomyces cerevisiae. The results reveal that pretreatment with 2% NaOH followed by 48 hours of hydrolysis produced the maximum bioethanol production (30.21 ±0.13 g/L). This study findings indicated that alkali-pretreated corn stove might be used as a feedstock for bioethanol production, reducing reliance on fossil fuels.

scholarly journals Artificial neural network approach to modeling of alcoholic fermentation of thick juice from sugar beet processing

2012 ◽  
Vol 66 (2) ◽  
pp. 211-221 ◽  
Author(s):  
Aleksandar Jokic ◽  
Jovana Grahovac ◽  
Jelena Dodic ◽  
Z. Zoltan ◽  
Z Zavargo ◽  
...  
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Artificial Neural Network ◽  
Sugar Content ◽  
Cell Number ◽  
Cultivation Medium ◽  
Fermentation Time ◽  
Ethanol Content ◽  
Artificial Neural ◽  
Thick Juice

In this paper the bioethanol production in batch culture by free Saccharomyces cerevisiae cells from thick juice as intermediate product of sugar beet processing was examined. The obtained results suggest that it is possible to decrease fermentation time for the cultivation medium based on thick juice with starting sugar content of 5-15 g kg-1. For the fermentation of cultivation medium based on thick juice with starting sugar content of 20 and 25 g kg-1 significant increase in ethanol content was attained during the whole fermentation process, resulting in 12.51 and 10.95 dm3 m-3 ethanol contents after 48 h, respectively. Other goals of this work were to investigate the possibilities for experimental results prediction using artificial neural networks (ANNs) and to find its optimal topology. A feed-forward back-propagation artificial neural network was used to test the hypothesis. As input variables fermentation time and starting sugar content were used. Neural networks had one output value, ethanol content, yeast cell number or sugar content. There was one hidden layer and the optimal number of neurons was found to be nine for all selected network outputs. In this study transfer function was tansig and the selected learning rule was Levenberg-Marquardt. Results suggest that artificial neural networks are good prediction tool for selected network outputs. It was found that experimental results are in very good agreement with computed ones. The coefficient of determination (the R-squared) was found to be 0.9997, 0.9997 and 0.9999 for ethanol content, yeast cell number and sugar content, respectively.

scholarly journals Diketopyrrolopyrrole Fluorescent Probes, Photophysical and Biological Applications

Chemosensors ◽  
2021 ◽  
Vol 9 (3) ◽  
pp. 44
Author(s):  
Muhammad Aminu Auwalu ◽  
Shanshan Cheng
Keyword(s):  
Quantum Yield ◽  
Fluorescent Probes ◽  
Organic Dyes ◽  
Tumor Therapy ◽  
Research Area ◽  
Research Field ◽  
Review Article ◽  
Biological Applications ◽  
Chemistry Research ◽  
Cancer Tumor

Biological applications of fluorescent probes are rapidly increasing in the supramolecular chemistry research field. Several organic dyes are being utilized currently in developing and advancing this attractive research area, of which diketopyrrolopyrrole (DPP) organic dyes show an exceptional photophysical features (high-fluorescence quantum yield (FQY), good photochemical and thermal stability) that are essential properties for biological applications. Great efforts have been made in recent years towards developing novel fluorescent DPPs by different chemists for such applications, and some positive results have been reported. As a result, this review article gives an account of the progress that has so far been made very recently, mainly within the last decade, in that we selectively focus on and discuss more from 2015 to present on some recent scholarly achievements of fluorescent DPPs: quantum yield, aggregation-induced emission (AIE), solid-state emission, bio-imaging, cancer/tumor therapy, mitochondria staining and some polymeric fluorescent DPPs. Finally, this review article highlights researchers working on luminescent DPPs and the future prospects in some key areas towards designing DPP-based fluorescent probes in order to boost their photophysical and biological applications more effectively.

scholarly journals Indoor Bluetooth Low Energy Dataset for Localization, Tracking, Occupancy, and Social Interaction

Sensors ◽  
2018 ◽  
Vol 18 (12) ◽  
pp. 4462 ◽  
Author(s):  
Paolo Baronti ◽  
Paolo Barsocchi ◽  
Stefano Chessa ◽  
Fabio Mavilia ◽  
Filippo Palumbo
Keyword(s):  
Social Interaction ◽  
Indoor Localization ◽  
Meaningful Use ◽  
Research Area ◽  
Low Energy ◽  
Bluetooth Low Energy ◽  
Novel Technologies ◽  
Wide Availability ◽  
Low Costs ◽  
Open Datasets

Indoor localization has become a mature research area, but further scientific developments are limited due to the lack of open datasets and corresponding frameworks suitable to compare and evaluate specialized localization solutions. Although several competitions provide datasets and environments for comparing different solutions, they hardly consider novel technologies such as Bluetooth Low Energy (BLE), which is gaining more and more importance in indoor localization due to its wide availability in personal and environmental devices and to its low costs and flexibility. This paper contributes to cover this gap by: (i) presenting a new indoor BLE dataset; (ii) reviewing several, meaningful use cases in different application scenarios; and (iii) discussing alternative uses of the dataset in the evaluation of different positioning and navigation applications, namely localization, tracking, occupancy and social interaction.

scholarly journals Pretreatments of lignocellulosic feedstock for bioethanol production

2010 ◽  
Vol 64 (4) ◽  
pp. 283-293 ◽  
Author(s):  
Zlatica Predojevic
Keyword(s):  
Renewable Energy ◽  
Co2 Emission ◽  
Fossil Fuels ◽  
Low Cost ◽  
Renewable Energy Sources ◽  
Energy Sources ◽  
Bioethanol Production ◽  
Environment Protection ◽  
Lignocellulosic Feedstock ◽  
Lignocellulosic Feedstocks

The use of renewable energy sources (biofuels), either as a component in the conventional fossil fuels, gasoline and diesel, or as a pure biofuel, contributes to energy saving and decrease of total CO2 emission. The use of bioethanol mixed with gasoline significantly decreases gasoline consumption and contributes to environment protection. One of the problems in the production of bioethanol is the availability of sugar and starch based feedstock used for its production. However, lignocellulosic feedstocks are becoming more significant in the production of bioethanol due to their availability and low cost. The aim of this study is to point out the advantages and shortcomings of pretreatment processes and hydrolyses of lignocellulosic feedstocks that precede their fermentation to bioethanol.

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