The Experts below are selected from a list of 300 Experts worldwide ranked by ideXlab platform
Prince Bawuah - One of the best experts on this subject based on the ideXlab platform.
-
non contact Weight Measurement of flat faced pharmaceutical tablets using terahertz transmission pulse delay Measurements
International Journal of Pharmaceutics, 2014Co-Authors: Prince Bawuah, Pertti Silfsten, Tuomas Ervasti, Jarkko Ketolainen, Axel J Zeitler, Kaierik PeiponenAbstract:Abstract By measuring the time delay of a terahertz pulse traversing a tablet, and hence its effective refractive index, it is possible to non-invasively and non-destructively detect the Weight of tablets made of microcrystalline cellulose (MCC). Two sets of MCC tablets were used in the study: Set A (training set) consisted of 13 tablets with nominally constant height but varying porosities, whereas Set B (test set) comprised of 21 tablets with nominally constant porosity but different heights. A linear correlation between the estimated absolute Weight based on the terahertz Measurement and the measured Weight of both sets of MCC tablets was found. In addition, it was possible to estimate the height of the tablets by utilizing the estimated absolute Weight and calculating the relative change of height of each tablet with respect to an ideal tablet. A good agreement between the experimental and the calculated results was found highlighting the potential of this technique for in-line sensing of the Weight, porosity and the relative change in height of the tablets compared to a reference/ideal tablet. In this context, we propose a quantitative quality control method to assess the deviations in porosity of tablets immediately after compaction.
Yoav Bashan - One of the best experts on this subject based on the ideXlab platform.
-
evidence that fresh Weight Measurement is imprecise for reporting the effect of plant growth promoting rhizo bacteria on growth promotion of crop plants
Biology and Fertility of Soils, 2017Co-Authors: Ping Huang, Luz E Debashan, Trae Crocker, Joseph W Kloepper, Yoav BashanAbstract:Eight greenhouse experiments were performed to compare the effect of seven plant growth-promoting (rhizo)bacteria (PGPR/PGPB) on fresh and dry Weights of four crop plants. This has been done to validate if fresh Weight Measurements of plant variables can serve as reliable values when reporting the effect of these bacteria on plant growth. These experiments show that the growth promotion effects by the tested PGPR/PGPB, including Bacillus amyloliquefaciens GB03, Bacillus subtilis IN-937B, Bacillus altitudinis INR7, and Pseudomonas mandelii 89B-27 in corn and cucumber and Azospirillum brasilense Cd, A. brasilense Sp 245, and Azospirillum lipoferum Br 17 in pepper and tomato, varied significantly between fresh and dry Weights of shoot, root, and/or whole plant in the repeated greenhouse experiments. These results support our hypothesis that using fresh Weight determination for assessing plant growth promotion by beneficial bacteria is inherently faulty. Therefore, it is recommended that dry Weight determination rather than fresh Weight determination is used for plant growth promotion tests.
Ravendra Singh - One of the best experts on this subject based on the ideXlab platform.
-
Development and implementation of an advanced model predictive control system into continuous pharmaceutical tablet compaction process
International Journal of Pharmaceutics, 2017Co-Authors: Aparajith Bhaskar, Fernando N. Barros, Ravendra SinghAbstract:In the context of continuous pharmaceutical oral dosage manufacturing, a control system is essential to ensure that the critical quality attributes (CQAs) are maintained within the regulatory constraints by mitigating variations generated in upstream operations. Such a system is essential to the Quality by Design (QbD) paradigm shift, which can ensure that predefined end quality attributes are achieved within an optimal economic and time bracket. In this work, an advanced model predictive control (MPC) architecture integrated with a novel real-time tablet Weight Measurement method has been development and implemented into a continuous direct compaction tablet manufacturing pilot-plant. The proposed control architecture has the potential to control tablet Weight and tablet breaking force simultaneously by systematically decoupling and cascading the control loops. The model predictive control algorithm was experimentally found to be superior to the PID (proportional, integral and derivative) controller and thus, can be utilized for a wide range of applications to improve the quality of pharmaceutical products in continuous manufacturing. The MPC was used to control main compression force and pre compression force using main compression height and fill depth respectively as the actuators. The introduction of this methodology leads to new ways of developing MPC models, tablet Weight Measurement methods and control strategies that enhance the manufacturability and quality of pharmaceutical tablets.
Kaierik Peiponen - One of the best experts on this subject based on the ideXlab platform.
-
non contact Weight Measurement of flat faced pharmaceutical tablets using terahertz transmission pulse delay Measurements
International Journal of Pharmaceutics, 2014Co-Authors: Prince Bawuah, Pertti Silfsten, Tuomas Ervasti, Jarkko Ketolainen, Axel J Zeitler, Kaierik PeiponenAbstract:Abstract By measuring the time delay of a terahertz pulse traversing a tablet, and hence its effective refractive index, it is possible to non-invasively and non-destructively detect the Weight of tablets made of microcrystalline cellulose (MCC). Two sets of MCC tablets were used in the study: Set A (training set) consisted of 13 tablets with nominally constant height but varying porosities, whereas Set B (test set) comprised of 21 tablets with nominally constant porosity but different heights. A linear correlation between the estimated absolute Weight based on the terahertz Measurement and the measured Weight of both sets of MCC tablets was found. In addition, it was possible to estimate the height of the tablets by utilizing the estimated absolute Weight and calculating the relative change of height of each tablet with respect to an ideal tablet. A good agreement between the experimental and the calculated results was found highlighting the potential of this technique for in-line sensing of the Weight, porosity and the relative change in height of the tablets compared to a reference/ideal tablet. In this context, we propose a quantitative quality control method to assess the deviations in porosity of tablets immediately after compaction.
John G F Cleland - One of the best experts on this subject based on the ideXlab platform.
-
predicting hospitalization due to worsening heart failure using daily Weight Measurement analysis of the trans european network home care management system ten hms study
European Journal of Heart Failure, 2008Co-Authors: Jufen Zhang, Kevin Goode, Paul Edward Cuddihy, John G F ClelandAbstract:Aims We sought to test the utility of Weight gain algorithms to predict episodes of worsening heart failure (WHF) using home-telemonitoring data collected as part of the TEN-HMS study. Methods and results Simple rule-of-thumb (RoT) algorithms (i.e. 3 lbs in 1 day and 5 lbs in 3 days) and a moving average convergence divergence (MACD) algorithm were compared. WHF was defined as hospitalization for WHF or worsening of breathlessness or leg oedema. Of 168 patients, 45 were hospitalized with WHF and 76 were hospitalized for other reasons. On average, Weight gain occurred in the 14 days prior to WHF hospitalizations but not in the 14 days prior to non-WHF hospitalizations [1.9 ± 4.7 lbs (0.9 ± 2.1 kg) vs. −0.4 ± 2.5 lbs (−0.2 ± 1.1 kg), P < 0.0001]. The true alerts rate was higher for the RoT algorithms compared with the MACD (58 and 65% vs. 20%). However, the RoT algorithms had much higher false alert rates (54 and 58% vs. 9%) rendering them of little practical use for predicting WHF events. Conclusion A MACD algorithm is more specific but less sensitive than RoT when trying to predict episodes of WHF based on daily Weight Measurements. However, many episodes of WHF do not appear to be associated with Weight gain and therefore telemonitoring of Weight alone may not have great value for heart failure management.
