Method for on-line prediction of kinetics of alcoholic fermentation in wine making

1989 ◽  
Vol 68 (2) ◽  
pp. 131-135 ◽  
Author(s):  
Nour Eddine El Haloui ◽  
Georges Corrieu ◽  
Yvon Cleran ◽  
Arlette Cheruy
Keyword(s):  
Alcoholic Fermentation ◽  
Wine Making ◽  
On Line ◽  
Kinetics Of ◽  
Prediction Of Kinetics

Hepatobiliary Kinetics of 113mIn-Phenolphthalexon

1981 ◽  
Vol 20 (02) ◽  
pp. 90-93
Author(s):  
P.B. Parab ◽  
U.R. Raikar ◽  
R.D. Ganatra ◽  
M. C. Patel
Keyword(s):  
Biliary Excretion ◽  
Iminodiacetic Acid ◽  
Organ Distribution ◽  
Liver Uptake ◽  
On Line ◽  
Rapid Clearance ◽  
Chemical Purity ◽  
Kinetics Of ◽  
High Liver

Phenolphthalexon, a compound with iminodiacetic acid as a functional group, has been labelled with 113mIn to high chemical purity and its usefulness in studies of biliary excretion patency has been studied. Organ distribution of 113mIn-phenolphthalexon in mice was characterized by high liver uptake (50.8% of the administered dose after 5 min) and rapid clearance through the gall bladder. An animal model for studying obstruction of biliary excretion has been developed. Data on the kinetics of the radiopharmaceutical were obtained by collecting in-vivo data through an on-line computer.

scholarly journals The kinetics of alcoholic fermentation of sugars by brewer's yeast

1935 ◽  
Vol 29 (4) ◽  
pp. 931-936 ◽  
Author(s):  
Reginald Haydn Hopkins ◽  
Richard Henry Roberts
Keyword(s):  
Alcoholic Fermentation ◽  
Brewer’S Yeast ◽  
Brewer's Yeast ◽  
Kinetics Of

Evaluation of the alcoholic fermentation kinetics of enzymatic hydrolysates from sugarcane bagasse (Saccharum officinarumL.)

2012 ◽  
Vol 88 (6) ◽  
pp. 1049-1057 ◽  
Author(s):  
Rafael Ramos de Andrade ◽  
Sarita Cândida Rabelo ◽  
Francisco Maugeri Filho ◽  
Rubens Maciel Filho ◽  
Aline Carvalho da Costa
Keyword(s):  
Sugarcane Bagasse ◽  
Alcoholic Fermentation ◽  
Fermentation Kinetics ◽  
Enzymatic Hydrolysates ◽  
Kinetics Of

scholarly journals Nutrient Addition to Low pH Base Wines (L. cv. Riesling) during Yeast Acclimatization for Sparkling Wine: Its Influence on Yeast Cell Growth, Sugar Consumption and Nitrogen Usage

Beverages ◽  
2020 ◽  
Vol 6 (1) ◽  
pp. 10
Author(s):  
Belinda Kemp ◽  
Jessy Plante ◽  
Debra L. Inglis
Keyword(s):  
Alcoholic Fermentation ◽  
Low Ph ◽  
Nutrient Concentrations ◽  
Sparkling Wine ◽  
Sugar Consumption ◽  
Wine Production ◽  
Nutrient Sources ◽  
Time Required ◽  
The Impact ◽  
Kinetics Of

In traditional method sparkling wine production, to carry out a successful second alcoholic fermentation, yeast are acclimatized to stressful base wine conditions. Base wines typically have low pH, low nutrient concentrations, high acid concentrations, contain sulfur dioxide (SO2), and high ethanol concentrations. Supplementing yeast during the acclimatization stages prior to second alcoholic fermentation with different nutrient sources was assessed to determine the impact on yeast growth, sugar consumption and nitrogen usage. Four treatments were tested with Saccharomyces cerevisiae strain EC1118: the control (T1) with no additives; addition of diammonium phosphate (DAP) during acclimatization, (T2); Go-Ferm® inclusion during yeast rehydration (GF), (T3); and DAP + GF (T4). Results (n = 4) indicated that supplementing with DAP, GF or DAP + GF increased both the rate of sugar consumption and the concentration of viable cells during the yeast acclimatization phase in comparison to the control. Treatments supplemented with DAP + GF or DAP alone resulted in yeast consuming 228 and 220 mg N/L during the acclimatization phase, respectively. Yeast treated only with GF consumed 94 mg N/L in comparison to the control, which consumed 23 mg N/L. The time required to reach the target specific gravity (1.010) during acclimatization was significantly reduced to 57 h for yeast treated with DAP and GF, 69 h for yeast treated with DAP only and 81 h for yeast rehydrated with GF in comparison to 105 h for the control. Our results suggest that nutrients used during yeast acclimatization could have an important impact on the kinetics of second alcoholic fermentation.

Integration of titrimetric measurement, off-gas analysis and NOx− biosensors to investigate the complexity of denitrification processes

2004 ◽  
Vol 50 (11) ◽  
pp. 135-141 ◽  
Author(s):  
S.H. McMurray ◽  
R.L. Meyer ◽  
R.J. Zeng ◽  
Z. Yuan ◽  
J. Keller
Keyword(s):  
Nox Reduction ◽  
Treatment Plant ◽  
Single Step ◽  
Gas Analysis ◽  
Measuring Process ◽  
Nitrogen Gas ◽  
Detailed Measurement ◽  
On Line ◽  
Kinetics Of ◽  
Denitrification Process

The denitrification process, namely the reduction of nitrate (NO3−) to nitrogen gas (N2), often cannot be simply modelled as a single step process. For a more complete and comprehensive model the intermediates, particularly nitrite (NO2−) and nitrous oxide (N2O), need to be investigated. This paper demonstrates the integration of titrimetric measurements and off-gas analysis with on-line nitrite plus nitrate (NOx−) biosensors, highlighting the necessity of measuring process intermediates with high time-scale resolution to study and understand the kinetics of denitrification. Investigation of activated sludge from a full-scale treatment plant showed a significant accumulation of NO2−, which appeared to impact on the overall denitrification rate measured as NOx− reduction or N2 production. A different sludge obtained from a lab-scale bioreactor produced N2O instead of N2 as the end product of denitrification. The two examples both illustrate the complexity of denitrification and stress the need for the more versatile and detailed measurement procedures, as presented in this paper.

Mathematical Modeling of Different Molecule Removal on On-Line Haemodiafiltration: Influence of Dialysis Duration and Infusion Flow

2015 ◽  
Vol 39 (4) ◽  
pp. 288-296 ◽  
Author(s):  
Francisco Maduell ◽  
Juan Sanchez ◽  
Marta Net ◽  
Miquel Gomez ◽  
Jose M. Gonzalez ◽  
...  
Keyword(s):  
Molecular Weight ◽  
Treatment Time ◽  
Compartment Model ◽  
Dialysis Dose ◽  
Β2 Microglobulin ◽  
Dialysis Duration ◽  
Two Compartment Model ◽  
On Line ◽  
The Impact ◽  
Kinetics Of

Background: In a previous study on a nocturnal, every-other-day online haemodiafiltration scheme, different removal patterns were observed for urea, creatinine, β2-​microglobulin, myoglobin and prolactin. The aim of this study was to evaluate the influence of dialysis duration and infusion flow (Qi) on the removal of different molecular weight (MW) solutes, and to quantify the effect of the different treatments on the kinetics of the solutes by using a classical two-compartment model. Methods: This prospective, in-center study was carried out in 10 patients on a nocturnal, every-other-day online post-dilution haemodiafiltration program. Each patient received four dialysis sessions with different conditions, two 4-h sessions (with infusion flows of 50 or 100 ml/min) and two 8-h sessions (with infusion flows of 50 or 100 ml/min). To analyze the solute kinetics, blood samples were obtained hourly during the dialysis treatments and in the first 3 h post-dialysis. Results: Removal patterns differed in the molecules studied, which were quantified by means of the two-compartment mathematical model. The main results show the impact of dialysis duration on the removal of low molecular weight molecules (urea and creatinine), while the impact of Qi is clearly shown for high molecular weight molecules (myoglobin and prolactin). For middle molecular weight solutes, such as β2-microglobulin, both factors (duration and Qi) enhance the removal efficiency of the dialyzer. Conclusions: Our study evaluates experimentally and mathematically how treatment time and infusion flow affect the filtration of solutes of different MW during post-dilution haemodiafiltration. The results provided by the present study should help physicians to select and individualise the most appropriate schedules to deliver an optimum diffusive and convective dialysis dose for each patient.

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