scholarly journals Moisture sorption of cassava starch film incorporated with kaffir lime oil and the prediction models

2021 ◽  
Author(s):  
Norasmah Mohammed Manshor ◽  
Junaidah Jai ◽  
Fazlena Hamzah
Keyword(s):  
Prediction Models ◽  
Moisture Sorption ◽  
Cassava Starch

scholarly journals Comparative Evaluation of Solanum tuberosum L. and Manihot esculenta Starch as Pharmaceutical Excipients: Assessment by Preformulation Studies

2015 ◽  
Vol 17 (2) ◽  
pp. 128-134 ◽  
Author(s):  
Md Mahadi Hasan ◽  
Md Sohel Rana ◽  
Nizam Uddin ◽  
Kazi Jamiur Rahman ◽  
Sanchita Sharmin Chowdhury
Keyword(s):  
Solanum Tuberosum ◽  
Ir Spectra ◽  
Sorption Capacity ◽  
Manihot Esculenta ◽  
Potato Starch ◽  
Moisture Sorption ◽  
Cassava Starch ◽  
Angle Of Repose ◽  
Pharmaceutical Excipients ◽  
Swelling Capacity

This investigation was aimed at comparing the newly developed starches from two grains; Potato (Solanum tuberosum) and Cassava (Manihot esculenta). The presence of starch in as these grains vary and thus their use as pharmaceutical excipients will depend on the degree of their starch functionality. The organoleptic and physicochemical characteristics such as viscosity, swelling capacity, moisture sorption capacity, pH, flow rate, Carr’s index, and Hausner’s ratio were evaluated. The powders passed the identification and solubility tests as required by the British Pharmacopoeia. Cassava starch showed the least Carr’s index, Hausner’s ratio and moisture sorption capacity but displayed more angle of repose and true density than the potato starch. In contrast, potato starch showed the highest hydration and swelling-capacity. That is why, potato starch could be a better tablet disintegrant compared to cassava starch. The results obtained demonstrated that between the two starches in relation to their flow ability, cassava starch possesses the best flow property. Infrared (IR) spectra of potato and cassava starch with the drug sample (Etoricoxib) were seen to retain the individual peak of potato and cassava starch and the IR spectra showed that there was no interaction of starch with the drug. DOI: http://dx.doi.org/10.3329/bpj.v17i2.22328 Bangladesh Pharmaceutical Journal 17(2): 128-134, 2014

scholarly journals Moisture Sorption Isotherms and Prediction Models of Carboxymethyl Chitosan Films from Different Sources with Various Plasticizers

2019 ◽  
Vol 2019 ◽  
pp. 1-18 ◽  
Author(s):  
Juthamas Tantala ◽  
Chitsiri Rachtanapun ◽  
Wirongrong Tongdeesoontorn ◽  
Kittisak Jantanasakulwong ◽  
Pornchai Rachtanapun
Keyword(s):  
Water Solubility ◽  
Prediction Models ◽  
Sorption Isotherms ◽  
Moisture Sorption ◽  
High Water ◽  
Carboxymethyl Chitosan ◽  
Percentage Error ◽  
Moisture Sorption Isotherms ◽  
Gab Model ◽  
The Stability

Carboxymethyl chitosan (CMCH) from different chitosan sources (shrimp, crab, and squid) and molecular sizes (polymer and oligomer) were synthesized via carboxymethylation reaction. The CMCH films were prepared by solution casting. All the CMCH films had high water solubility, higher than 85% of the dry matter of the films. The sorption isotherm of the CMCH films was evaluated at several values of relative humidity (0% RH, 23% RH, 34% RH, 43% RH, 65% RH, 77% RH, and 86% RH) at 25 ± 1°C. The equilibrium moisture content values of all the CMCH films were low at lower aw but increased considerably above aw = 0.65. The sigmoidal moisture sorption isotherms of this product can be classified as type II. Understanding of sorption isotherms is an important prerequisite for the prediction of moisture sorption properties of films via moisture sorption empirical models. The experimental data were analyzed and fitted by the nine sorption models. The various constants determined by linear fitting of the sorption equation with r2 values were in the range of 0.7647 to 0.999. The GAB model was found to be the best-fitted model for CMCH films (aw = 0.23–0.86, 25 ± 1°C), and the model presented the optimal root-mean-square percentage error (%RMS) values when compared with other models. In conclusion, it can be stated that the GAB model was found to be better estimated for predicting the CMCH films than other models. Therefore, the constant derived from different sorption models were applied for use in terms of information and for the determination of the stability of CMCH packaging films for specific end uses.

Rheological, mechanical and moisture sorption characteristics of cassava starch-konjac glucomannan blend films

2011 ◽  
Vol 63 (11) ◽  
pp. 728-739 ◽  
Author(s):  
Soumya B. Nair ◽  
Alummoottil N. Jyothi ◽  
Moothandasserry S. Sajeev ◽  
Rajasekhara Misra
Keyword(s):  
Moisture Sorption ◽  
Cassava Starch ◽  
Konjac Glucomannan ◽  
Blend Films ◽  
Sorption Characteristics

Dynamic Moisture Sorption Characteristics of Enzyme-Resistant Recrystallized Cassava Starch

2011 ◽  
Vol 12 (3) ◽  
pp. 660-671 ◽  
Author(s):  
Christopher Mutungi ◽  
Stefan Schuldt ◽  
Calvin Onyango ◽  
Yvonne Schneider ◽  
Doris Jaros ◽  
...  
Keyword(s):  
Moisture Sorption ◽  
Cassava Starch ◽  
Sorption Characteristics

4 Pattern Recognition for Healing Burns to Compute Evidence: Space Syntax and Machine Learning Analysis of Burns Center Karachi

2013 ◽  
Vol 1 (1) ◽  
pp. 13
Author(s):  
Javaria Manzoor Shaikh ◽  
JaeSeung Park
Keyword(s):  
Pattern Recognition ◽  
Prediction Models ◽  
Uv Light ◽  
Healing Process ◽  
Space Syntax ◽  
Depth Map ◽  
Routine Tasks ◽  
Hyper Plane ◽  
First Time ◽  
Learning Analysis

Usually elongated hospitalization is experienced byBurn patients, and the precise forecast of the placement of patientaccording to the healing acceleration has significant consequenceon healthcare supply administration. Substantial amount ofevidence suggest that sun light is essential to burns healing andcould be exceptionally beneficial for burned patients andworkforce in healthcare building. Satisfactory UV sunlight isfundamental for a calculated amount of burn to heal; this delicaterather complex matrix is achieved by applying patternclassification for the first time on the space syntax map of the floorplan and Browder chart of the burned patient. On the basis of thedata determined from this specific healthcare learning technique,nurse can decide the location of the patient on the floor plan, hencepatient safety first is the priority in the routine tasks by staff inhealthcare settings. Whereas insufficient UV light and vitamin Dcan retard healing process, hence this experiment focuses onmachine learning design in which pattern recognition andtechnology supports patient safety as our primary goal. In thisexperiment we lowered the adverse events from 2012- 2013, andnearly missed errors and prevented medical deaths up to 50%lower, as compared to the data of 2005- 2012 before this techniquewas incorporated.In this research paper, three distinctive phases of clinicalsituations are considered—primarily: admission, secondly: acute,and tertiary: post-treatment according to the burn pattern andhealing rate—and be validated by capable AI- origin forecastingtechniques to hypothesis placement prediction models for eachclinical stage with varying percentage of burn i.e. superficialwound, partial thickness or full thickness deep burn. Conclusivelywe proved that the depth of burn is directly proportionate to thedepth of patient’s placement in terms of window distance. Ourfindings support the hypothesis that the windowed wall is mosthealing wall, here fundamental suggestion is support vectormachines: which is most advantageous hyper plane for linearlydivisible patterns for the burns depth as well as the depth map isused.

Bankruptcy Prediction Models: A Bet on Artificial Neural Networks

2012 ◽  
Vol 3 (2) ◽  
pp. 48-50
Author(s):  
Ana Isabel Velasco Fernández ◽  
◽  
Ricardo José Rejas Muslera ◽  
Juan Padilla Fernández-Vega ◽  
María Isabel Cepeda González
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Prediction Models ◽  
Bankruptcy Prediction ◽  
Artificial Neural

The Role of Revascularisation in Patients Undergoing Non-cardiac Surgery

2010 ◽  
Vol 5 (1) ◽  
pp. 104
Author(s):  
Daniel S Menees ◽  
Eric R Bates ◽  
◽  
Keyword(s):  
Cardiac Surgery ◽  
Prediction Models ◽  
Cardiovascular Complications ◽  
Weight Of Evidence ◽  
Beta Blockade ◽  
Cardiac Morbidity ◽  
Increased Risk ◽  
Reduction Strategies ◽  
Artery Disease ◽  
Risk Reduction Strategies

Coronary artery disease (CAD) affects millions of US citizens. As the population ages, an increasing number of people with CAD are undergoing non-cardiac surgery and face significant peri-operative cardiac morbidity and mortality. Risk-prediction models can be used to help identify those patients at increased risk of peri-operative cardiovascular complications. Risk-reduction strategies utilising pharmacotherapy with beta blockade and statins have shown the most promise. Importantly, the benefit of prophylactic coronary revascularisation has not been demonstrated. The weight of evidence suggests reserving either percutaneous or surgical revascularisation in the pre-operative setting for those patients who would otherwise meet independent revascularisation criteria.

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