Extended Stability of Oxytocin in Ringer's Lactate Solution at 4° and 25°C

2006 ◽  
Vol 41 (5) ◽  
pp. 437-441 ◽  
Author(s):  
Lisa A. Boothby ◽  
Rajanikanth Madabushi ◽  
Vipul Kumar ◽  
Burnis D. Breland ◽  
Randy C. Hatton ◽  
...  
Keyword(s):  
Laminar Flow ◽  
Chemical Stability ◽  
Room Temperature ◽  
Solution Stability ◽  
Short Term ◽  
Term Stability ◽  
Laminar Flow Hood ◽  
Ringer’S Lactate ◽  
Stability Data ◽  
Lactate Solution

Purpose Since IV admixtures of oxytocin in the final working concentrations are not commercially available, oxytocin admixtures must be prepared immediately before use or compounded in a sterile laminar flow hood and stored until needed. Although published reports indicate short-term stability of oxytocin in Ringer's lactate solution and Ringer's lactate-dextrose 5%, longer-term stability data at various temperatures are lacking. Methods A stability assay was developed, validated, and executed with oxytocin at two different concentrations in Ringer's lactate solution. Stability was assessed at 4 and 25°C over 31 days. Results This study shows that commonly used dilutions of oxytocin in Ringer's lactate solution retain greater than 90% of initial concentrations, when stored at room temperature or refrigerated for 31 days. These data show that oxytocin admixed with Ringer's lactate solution has extended chemical stability after preparation. Conclusions Demonstration of extended stability of oxytocin in Ringer's lactate solution will allow hospitals to give longer dating to oxytocin IV admixtures, provided they are prepared in a sterile environment and monitored in compliance with USP <797> guidelines. This should help minimize the potentially dangerous practice of admixing this IV solution at the bedside.

scholarly journals Quantification of Cefepime, Meropenem, Piperacillin, and Tazobactam in Human Plasma Using a Sensitive and Robust Liquid Chromatography-Tandem Mass Spectrometry Method, Part 2: Stability Evaluation

2018 ◽  
Vol 62 (9) ◽  
Author(s):  
Ronilda D'Cunha ◽  
Thanh Bach ◽  
Beth Ann Young ◽  
Peizhi Li ◽  
Demet Nalbant ◽  
...  
Keyword(s):  
Human Plasma ◽  
Whole Blood ◽  
Room Temperature ◽  
Solution Stability ◽  
Short Term ◽  
Term Stability ◽  
Degradation Rates ◽  
Liquid Chromatography Tandem Mass ◽  
The Stability ◽  
Stability Results

ABSTRACT Although the stability of β-lactam antibiotics is a known issue, none of the previously reported bioanalytical methods had an adequate evaluation of the stability of these drugs. In the current study, the stability of cefepime, meropenem, piperacillin, and tazobactam under various conditions was comprehensively evaluated. The evaluated parameters included stock solution stability, short-term stability, long-term stability, freeze-thaw stability, processed sample stability, and whole-blood stability. When stored at −20°C, the stock solution of meropenem in methanol was stable for up to 3 weeks, and the stock solutions of cefepime, piperacillin, and tazobactam were stable for up to 6 weeks. All four antibiotics were stable in human plasma for up to 3 months when stored at −80°C and were stable in whole blood for up to 4 h at room temperature. Short-term stability results indicated that all four β-lactams were stable at room temperature for 2 h, but substantial degradation was observed when the plasma samples were stored at room temperature for 24 h, with the degradation rates for cefepime, meropenem, piperacillin, and tazobactam being 30.1%, 75.6%, 49.0%, and 37.7%, respectively. Because the stability information is method independent, our stability results can be used as a reference by other research groups that work with these antibiotics.

Short-Term Stability Study of RNA at Room Temperature

2012 ◽  
Vol 10 (6) ◽  
pp. 532-542 ◽  
Author(s):  
Conny Mathay ◽  
Wusheng Yan ◽  
Rodrigo Chuaqui ◽  
Amy P.N. Skubitz ◽  
Jae-Pil Jeon ◽  
...  
Keyword(s):  
Room Temperature ◽  
Stability Study ◽  
Short Term ◽  
Term Stability

Airborne drug levels in a laminar-flow hood

1981 ◽  
Vol 38 (9) ◽  
pp. 1301-1303
Author(s):  
Michael L. Kleinberg ◽  
Michael J. Quinn
Keyword(s):  
Laminar Flow ◽  
Drug Levels ◽  
Laminar Flow Hood

Water repellent room temperature vulcanized silicone for enhancing the long-term stability of perovskite solar cells

Solar Energy ◽  
2021 ◽  
Vol 218 ◽  
pp. 28-34
Author(s):  
Mahmoud Samadpour ◽  
Mahsa Heydari ◽  
Mahdi Mohammadi ◽  
Parisa Parand ◽  
Nima Taghavinia
Keyword(s):  
Solar Cells ◽  
Room Temperature ◽  
Perovskite Solar Cells ◽  
Water Repellent ◽  
Term Stability ◽  
Long Term Stability

scholarly journals The effect of short-term storage temperature on the key headspace volatile compounds observed in Canadian faba bean flour

2021 ◽  
pp. 108201322199884
Author(s):  
Rami Akkad ◽  
Ereddad Kharraz ◽  
Jay Han ◽  
James D House ◽  
Jonathan M Curtis
Keyword(s):  
Fatty Acids ◽  
Volatile Compounds ◽  
Room Temperature ◽  
Unsaturated Fatty Acids ◽  
Solid Phase ◽  
Short Term ◽  
Bean Flour ◽  
Odour Activity Value ◽  
Short Term Storage ◽  
Term Storage

The odour emitted from the high-tannin fab bean flour ( Vicia faba var. minor), was characterized by headspace solid-phase microextraction/gas chromatography-mass spectrometry (HS-SPME/GC–MS). The relative odour activity value (ROAV) was used to monitor the changes in key volatile compounds in the flour during short-term storage at different temperature conditions. The key flavour compounds of freshly milled flour included hexanal, octanal, nonanal, decanal, 3-methylbutanal, phenyl acetaldehyde, (E)-2-nonenal, 1-hexanol, phenyl ethyl alcohol, 1-octen-3-ol, β-linalool, acetic acid, octanoic acid, and 3-methylbutyric acid; these are oxidative degradation products of unsaturated fatty acids and amino acids. Despite the low lipid content of faba beans, the abundances of aldehydes arising during room temperature storage greatly contributed to the flavour of the flour due to their very low odour thresholds. Two of the key volatiles responsible for beany flavour in flour (hexanal, nonanal) increased greatly after 2 weeks of storage at room temperature or under refrigerated conditions. These volatile oxidation products may arise as a result of enzymatic activity on unsaturated fatty acids, and was seen to be arrested by freezing the flour.

Comparability and Short-Term Stability of Techniques to Assess Extension of Thinking about One's Personal Future

1983 ◽  
Vol 56 (2) ◽  
pp. 559-564 ◽  
Author(s):  
William Rakowski ◽  
Clifton E. Barber ◽  
Wayne C. Seelbach
Keyword(s):  
Data Collection ◽  
Life Events ◽  
Short Term ◽  
Life Event ◽  
Term Stability ◽  
The Future ◽  
Changes Over Time ◽  
Over Time

Three techniques for assessing extension of one's personal future (line-marking, open-ended report, life-events) were compared in a sample of 74 respondents. Two points of data collection were employed to examine short-term stability. At both administrations, correlations among indices suggested that techniques were only moderately comparable. Short-term stabilities were variable; correlations ranged from .42 to .79. Across subgroups of the sample, the direct, open-ended report of extension showed the greatest stability, while life-event extension showed the least. Apparently, extension of thinking about the future should be assessed by more than one technique to investigate potential relationships with other variables or changes over time in perspective about the future.

An Efficient Decision-Making Approach for Short Term Indoor Room Temperature Forecasting in Smart Environment: Evidence from India

2021 ◽  
pp. 1-42
Author(s):  
Kamal Pandey ◽  
Bhaskar Basu ◽  
Sandipan Karmakar
Keyword(s):  
Decision Making ◽  
Energy Consumption ◽  
Room Temperature ◽  
Linear Models ◽  
Comfort Level ◽  
Support Vector ◽  
Nonlinear Phenomenon ◽  
Short Term ◽  
Smart Buildings ◽  
Temperature Forecasting

“Smart cities” start with “Smart Buildings” that improve the quality of urban services while ensuring sustainability. The current scenario in India reveals that the corporate and residential building structures are incorporating various self-sustainable techniques. Out of the multiple factors governing the comfort of smart buildings, indoor room temperature is an important one, since it drives the need of cooling or heating through controlling systems. Around one-third of total energy consumption of commercial buildings in India is attributed to Heating, Ventilation and Air Conditioning (HVAC) systems. Accurate prediction of indoor room temperature helps in creating an efficient equilibrium between energy consumption and comfort level of the building, thus providing opportunities for efficient decision making for energy optimization. Considering Indian climatic and geographical conditions, this paper proposes an efficient decision making approach using Bayesian Dynamic Models (BDM) for short-term indoor room temperature forecasting of a corporate building structure. The results obtained from Bayesian Dynamic linear model, using Expectation Maximization (EM) algorithm, have been compared to standard Auto Regressive Integrated Moving Average (ARIMA) model, and have been found to be more accurate. Forecasting of indoor room temperature is a highly nonlinear phenomenon, so to further improve the accuracy of the linear models, a hybrid modeling approach has been proposed. The inclusion of state-of-the-art nonlinear models such as Artificial Neural Networks (ANNs) and Support Vector Regression (SVR) improves the forecasting accuracy of the linear models significantly. Results show that the hybrid model obtained using BDM and ANN is the best fit model.

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