The Experts below are selected from a list of 315 Experts worldwide ranked by ideXlab platform

Antonio Pietrosanto - One of the best experts on this subject based on the ideXlab platform.

  • HICSS - Biosensor-Based Intelligent Measurement System for Wine Fermentation Monitoring
    2010 43rd Hawaii International Conference on System Sciences, 2010
    Co-Authors: Donatella Albanese, M. De Santo, Consolatina Liguori, Vincenzo Paciello, Antonio Pietrosanto
    Abstract:

    The paper presents an innovative distributed measurement system for wine Fermentation Monitoring. The system intelligence is distributed among some Local Measurement Units (LMU) and a Manager Unit (MU). LMU's, made by a biosensor with its conditioning circuit plus a signal acquisition and processing module, can be integrated in complex multi-sensor schemes for process Monitoring under control of a MU. The innovative approach proposed in this work allows to a fully automatized measurement process. A prototype of the system characterized for wine Fermentation Monitoring has been set-up as a case study and first experimental results are presented.

Brian Mcneil - One of the best experts on this subject based on the ideXlab platform.

  • 6 - Fermentation Monitoring and control of microbial cultures for food ingredient manufacture
    Woodhead Publishing Series in Food Science Technology and Nutrition, 2013
    Co-Authors: Brian Mcneil, Neil Rowan, Linda M. Harvey, Ioannis Giavasis
    Abstract:

    Abstract: This chapter focuses upon how and why we monitor Fermentation processes for production of food ingredients. It also emphasises the critical importance of using Monitoring technologies which are appropriate and which aid us in understanding the physiology of the microbial cultures we use. A range of Monitoring strategies and techniques in current use are critically discussed in the context of the specific needs of the Fermentation industry. Finally, some future trends and developments are introduced and their potential utility in this context is evaluated.

  • The potential of mid infrared spectroscopy (MIRS) for real time bioprocess Monitoring.
    Analytica chimica acta, 2006
    Co-Authors: Payal Roychoudhury, Linda M. Harvey, Brian Mcneil
    Abstract:

    The need for effective bioprocess (Fermentation) Monitoring is growing in importance due to the rapid pace of change in the Fermentation industry, and attendant financial pressures. Vibrational spectroscopy has shown great promise in bioprocess Monitoring. In particular, recently attention has been focused on the capability of mid infrared spectroscopy (MIRS) to monitor multiple analytes in highly complex Fermentation fluids. The potential of this powerful analytical technique is critically evaluated by discussion of relevant studies. The advantages and limitations of MIR are discussed in the context of "rival" technologies, such as near infrared, focusing especially on employing such techniques in bioprocesses for real time (either in situ or ex situ) measurements. The potential barriers to the development of MIRS for real time Monitoring are identified and further research directions highlighted.

  • Employing near-infrared spectroscopic methods of analysis for Fermentation Monitoring and control. Part 2, Implementation strategies
    Biopharm International, 2003
    Co-Authors: S. Alison Arnold, Linda M. Harvey, Brian Mcneil, Jeffrey W. Hall
    Abstract:

    Timely process information is required to make effective Fermentation decisions, but those data are rarely available. NIR spectroscopy can allow you - by incorporating rapid, nondestructive, multiconstituent analyses of Fermentation broth directly into Fermentation control strategies -to make those decisions. This article will help you make that improvement by outlining the analysis strategies.

  • Employing near-infrared spectroscopic methods of analysis for Fermentation Monitoring and control: Part 1, method development
    2002
    Co-Authors: S. Alison Arnold, Linda M. Harvey, Brian Mcneil, Jeffrey W. Hall
    Abstract:

    Although rarely available, timely process information about Fermentation biomass, substrates, intermediates, and nutrients is required to make control decisions. NIR spectroscopy offers the opportunity to improve Fermentation processes by incorporating rapid, nondestructive, multiconstituent analyses of Fermentation broth media directly into Fermentation Monitoring and control strategies.

Mark Lefsrud - One of the best experts on this subject based on the ideXlab platform.

  • Fermentation Monitoring of a Co-Culture Process with Saccharomyces cerevisiae and Scheffersomyces stipitis Using Shotgun Proteomics
    Journal of bioprocessing & biotechniques, 2013
    Co-Authors: Eric L. Huang, Mark Lefsrud
    Abstract:

    Co-culture processes present the opportunity to produce value-added products from economical raw materials, but there lacks a high-throughput Fermentation Monitoring technique to study the temporal physiology of Fermentation organisms in co-culture processes. In this study, we applied shotgun proteomics to investigate a co-culture process of Saccharomyces cerevisiae and Scheffersomyces stipitis, and we monitored the Fermentation until glucose depletion. Three time points were taken for proteomics analysis at 11.5 hour, 18.5 hour and 32 hour, representing transition into diauxic shift. Using label-free quantitation, we observed cellular dynamic within 20-hour time frame. We distinguished the proteome between two yeasts, and the most abundant proteins of S. stipitis and S. cerevisiae contained expected processes of glycolytic enzymes, histones, heat shock proteins, ribosomal proteins and F1F0-ATPase. After glucose depletion, we identified up-regulations of S. stipitis malate synthase and isocitrate lyase as key enzymes in glyoxylate cycle and gluconeogenesis. Increased expression of S. stipitis histone 2B was observed in diauxic shift, and histone acetylation was suggested by up-regulation of acetyl-CoA synthetase. Without the presence of xylose, we observed induction of NAD(P)H-dependent D-xylose reductase (Xyl1p) as early as 11.5-hour before glucose depletion. We also observed the expression of D-xylulose reductase after glucose depletion without xylose induction. Further study is needed to investigate the cause of derepression signals for xylose oxo-reductive pathway. Without cellulose induction, the up-regulation of S. stipitis endo-1,4-beta-glucanase suggested S. stipites’ strategy in diversifying carbon choices after glucose repression. This research demonstrated the application of shotgun proteomics in high-throughput Monitoring of complex co-culture system and able to elucidate the temporal physiology of S. stipitis.

  • The temporal analysis of yeast exponential phase using shotgun proteomics as a Fermentation Monitoring technique.
    Journal of Proteomics, 2012
    Co-Authors: Eric L. Huang, Valérie Orsat, Mark Lefsrud
    Abstract:

    System biology and bioprocess technology can be better understood using shotgun proteomics as a Monitoring system during the Fermentation. We demonstrated a shotgun proteomic method to monitor the temporal yeast proteome in early, middle and late exponential phases. Our study identified a total of 1389 proteins combining all 2D-LC-MS/MS runs. The temporal Saccharomyces cerevisiae proteome was enriched with proteolysis, radical detoxification, translation, one-carbon metabolism, glycolysis and TCA cycle. Heat shock proteins and proteins associated with oxidative stress response were found throughout the exponential phase. The most abundant proteins observed were translation elongation factors, ribosomal proteins, chaperones and glycolytic enzymes. The high abundance of the H-protein of the glycine decarboxylase complex (Gcv3p) indicated the availability of glycine in the environment. We observed differentially expressed proteins and the induced proteins at mid-exponential phase were involved in ribosome biogenesis, mitochondria DNA binding/replication and transcriptional activator. Induction of tryptophan synthase (Trp5p) indicated the abundance of tryptophan during the Fermentation. As Fermentation progressed toward late exponential phase, a decrease in cell proliferation was implied from the repression of ribosomal proteins, transcription coactivators, methionine aminopeptidase and translation-associated proteins.

Mark J. Hayward - One of the best experts on this subject based on the ideXlab platform.

  • Characterization of a membrane interface designed for analytical scale sample introduction into a mass spectrometer
    Analytica Chimica Acta, 1996
    Co-Authors: Ashok Dongre, Mark J. Hayward
    Abstract:

    Abstract A membrane interface has been constructed for analytical scale sample introduction into a mass spectrometer. The interface was designed to be easy to use while achieving the following two goals: (i) to improve the mass transport efficiency of the analyte from the sample solution to the mass spectrometer ion source and (ii) to improve performance while reducing the sample sizes utilized for routine direct analyses with membrane introduction mass spectrometry (MI/MS). In order to systematically characterize this interface, a variety of key mass transport parameters including membrane thickness, temperature, analyte flow rate, and pneumatic assist carrier gas flow rate have been examined. Interface characterization studies have focused primarily on two analytes, benzene and ethanol. These two analytes were chosen to compare the relative importance of each of the key mass transport parameters for the two most common applications of MI/MS, environmental analyses and Fermentation Monitoring. The results of these studies suggest that mass transport of the analyte from solution phase to the membrane (including the use of the thin layer approach), membrane dimensions and membrane temperature are among the more important factors affecting analyte response and limits of quantification. Other significant results suggest that, when given a warm unrestricted path from the membrane to the ion source, the permeation (flux) of water from the aqueous matrix may be a major factor affecting the mass transport of analyte from the membrane to the ion source of the mass spectrometer. The comparison of the effects of the key mass transport parameters for environmental analyses and Fermentation Monitoring shows that each of these two applications depend on a markedly different set of parameters for achieving optimal performance.

  • Sheet Materials for Use as Membranes in Membrane Introduction Mass Spectrometry
    Analytical Chemistry, 1996
    Co-Authors: Amy J. Maden, Mark J. Hayward
    Abstract:

    Several polymer sheets including silicone, latex, PVC, Teflon, polyurethane, polyimide, polyethylene, and nitrile were used as membranes for membrane introduction mass spectrometry (MI/MS). The relative performance of each material was explored for its potential utility in MI/MS analyses where samples are delivered via flow injection. Each of the membrane materials was tested by exposing it to separate aqueous solutions containing the analytes benzene and ethanol in order to represent the results that may be achieved for environmental analyses and Fermentation Monitoring, respectively. Flow injection delivery of these solutions was used to measure the relative analyte quantification limits, response times, and permeation of water as a function of temperature for each membrane material. It was observed that latex and polyurethane membranes yield MI/MS performance characteristics (in aqueous matrix) similar to those of the commonly used silicone membranes for both benzene and ethanol solutions. Polyethylene...

Donatella Albanese - One of the best experts on this subject based on the ideXlab platform.

  • HICSS - Biosensor-Based Intelligent Measurement System for Wine Fermentation Monitoring
    2010 43rd Hawaii International Conference on System Sciences, 2010
    Co-Authors: Donatella Albanese, M. De Santo, Consolatina Liguori, Vincenzo Paciello, Antonio Pietrosanto
    Abstract:

    The paper presents an innovative distributed measurement system for wine Fermentation Monitoring. The system intelligence is distributed among some Local Measurement Units (LMU) and a Manager Unit (MU). LMU's, made by a biosensor with its conditioning circuit plus a signal acquisition and processing module, can be integrated in complex multi-sensor schemes for process Monitoring under control of a MU. The innovative approach proposed in this work allows to a fully automatized measurement process. A prototype of the system characterized for wine Fermentation Monitoring has been set-up as a case study and first experimental results are presented.