SU-E-T-136: Novel Secondary Quality Assurance Procedure for the INTRABEAM System Ion Chamber Using Commercial OSLDs

2013 ◽  
Vol 40 (6Part12) ◽  
pp. 235-235
Author(s):  
J Keller ◽  
W Laub ◽  
S Pillai
Keyword(s):  
Quality Assurance ◽  
Quality Assurance Procedure ◽  
Ion Chamber ◽  
Secondary Quality

Primary Phytochemical Evaluation of P. oleracea and P. quadrifida

2021 ◽  
pp. 3789-3793
Author(s):  
T. P. Dugawale ◽  
C.C. Khanwelkar ◽  
P.P. Durgawale
Keyword(s):  
Quality Assurance ◽  
Extraction Techniques ◽  
Quality Assurance Procedure ◽  
Closely Related Species ◽  
Recent Interest ◽  
Percentage Yield ◽  
Crude Drugs ◽  
Primary Evaluation ◽  
Layer Chromatography

P. oleracea and P. quadrifida are closely related species belonging to family Portulaceae. They are found in almost parts of the globe growing as neglected weed. However, recent interest in these plants owing to their palatable sour taste and health benefits have made them acceptable as cultivable plants and potted herbs. Even though numerous studies indicate the presence of pharmacological compounds in these plants, reports on quality assurance practices followed for evaluating these plants as crude drugs have not been detailed. In this study, the plant species were harvested as weed, authenticated, extracted using different solvents and extraction techniques. The extracts were then evaluated and studied for their primary phytochemical composition. This was followed by isolation of beta sitosterol using thin layer chromatography and column chromatography. The results indicate the presence all major classes of phytochemicals such as steroids, flavanoids, alkaloids, saponins, polysaccharides, and tannins. The percentage yield, extractive values, ash values, moisture content were calculated for both the species. The isolation of beta-sitosterol may be used as a quality assurance procedure. The data presented in this study may be further used by researchers for primary evaluation of quality of crude drugs in the form of P. oleracea and P. quadrifida plants.

Implementation of an in vivo radiochromic film QA procedure

2016 ◽  
Author(s):  
◽  
Jason Stanford
Keyword(s):  
Quality Assurance ◽  
Radiation Treatment ◽  
Radiochromic Film ◽  
In Vivo Dosimetry ◽  
Patient Specific ◽  
Attractive Alternative ◽  
Quality Assurance Procedure ◽  
Imaging Device ◽  
Treatment Techniques

[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT REQUEST OF AUTHOR.] Advance treatment techniques, such as IMRT and dynamic conformal arc delivery, are novel radiation treatment procedures at the forefront of accurate and precise radiotherapy. However, the risk of suboptimal treatment resulting in injury is far greater with these techniques due to their complexity. An in vivo quality assurance system is the most appropriate validation of the delivered dose to the patient from these techniques. The intent of this research is to propose an in vivo dosimetry quality assurance procedure using radiochromic film. This research proved that radiochromic in vivo dosimetry is a viable method of detecting spatial patient specific errors in radiotherapy; however, the process is time consuming and not sensitive enough for dosimetric errors associated with weight change. Although time consuming, in vivo radiochromic dosimetry is an attractive alternative for small cancer centers and developing countries without the large startup capital to acquire the electronic portal imaging device necessary for EPID in vivo dosimetry.

scholarly journals Quality Assurance Procedure for Assessing Mechanical Accuracy of a Radiation Field Center in Stereotactic Radiotherapy

2012 ◽  
Vol 68 (10) ◽  
pp. 1333-1339 ◽  
Author(s):  
Daisaku Tatsumi ◽  
Akinori Ienaga ◽  
Ryosei Nakada ◽  
Akane Yomoda ◽  
Makoto Inoue ◽  
...  
Keyword(s):  
Quality Assurance ◽  
Radiation Field ◽  
Stereotactic Radiotherapy ◽  
Quality Assurance Procedure ◽  
Field Center

scholarly journals Management of forest vegetation data series: the role of database in the frame of Quality Assurance procedure

2002 ◽  
Vol 61 (1s) ◽  
pp. 100
Author(s):  
Roberto CANULLO ◽  
Giandiego CAMPETELLA ◽  
Maria-Cristina ALLEGRINI ◽  
Vincenzo SMARGIASSI
Keyword(s):  
Quality Assurance ◽  
Forest Vegetation ◽  
Data Series ◽  
Quality Assurance Procedure
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