Potential toxicity of bignai extract in median lethal concentration using probit analysis / by Marianne Estrell D. Domingo.

By: Contributor(s): Material type: TextTextLanguage: English Publication details: Indang, Cavite : 2016. Cavite State University- Main Campus,Description: xiv, 71 pages : 28 cm. illustrations ; Content type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
Subject(s): DDC classification:
  • 515  D71 2016
Online resources: Production credits:
  • College of Arts and Science (CAS)
Abstract: DOMIINGO, MARIANNE ESTRELL DIIMASOAV. Potential Toxicity of Bignai Extract in Median Lethal Concentration (LC50) using Probit Analysis. Undergraduate Thesis. Bachelor of Science in Applied Mathematics with specialization in Statistics. Cavite State Univesity, Indang, Cavite, April 2016. Adviser: Prof. Antonio V. Cinto. The study "Potential Toxicity of Bignai Extract in Median Lethal Concentration (LC50) using Probit Analysis" was conducted at Cavite State University — Don Severino Dela Alas Campus, Indang, Cavite. Generally, the study provided a model that describes the concentration-response relationship of the lethal activity of Bignai extract using probit analysis. Specifically, it aimed to: (/) construct a probit model that would predict probability of subject receptors' lethality given a concentration; (2) test the goodness-of-fit of the estimates and measure the adequacy of the constructed probit model; (3) establish the potential toxicity of Bignai extract in terms of median lethal concentration (LC50); and (4) categorize the toxicity level of Bignai extract in LC50-Probit analysis is a statistical tool that is commonly used to determine the relative toxicity of substances. In the study, the method was run by the maximum likelihood estimation using Newton-Raphson Algorithm. Through probit analysis, the developed probit regression model is given by: -3. 72 1 + 3.725x Model validity was tested through the following: goodness of fit test using Pearson's method, model adequacy measure using McFadden's, Cox & Snell's, and Nagelkerke's formulae, and deviance statistics test. All tests revealed satisfactory results regarding the significance and correctness of the constructed model. Thus LC50 of Bignai leaf extract computed using the probit regression model is established at 9.975 µg/ml with 95% liducial limits from 8.871 µg/ml to 1 1.830 .ig/m1 Using the Clarkson's toxicity criterion for the toxicity assessment of plant extracts, Bignai extract is classified as highly toxic. In general, results of the LC50 of Bignai provided a pharmacological basis for cytotoxicity, anti-cancer property, and insecticidal potential of the plant which warrants further investigation. Using the derived model, this study moreover provides relative information on the concentration-response relationship, which are the lethal probabilities given different concentrations of Bignai extract.
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Theses / Manuscripts Theses / Manuscripts Ladislao N. Diwa Memorial Library Theses Section Non-fiction 515 D71 2016 (Browse shelf(Opens below)) Link to resource Room use only T-6205 00010187

Thesis (BS Applied Mathematics) Cavite State University

Includes bibliographical references.

College of Arts and Science (CAS)

DOMIINGO, MARIANNE ESTRELL DIIMASOAV. Potential Toxicity of Bignai Extract in Median Lethal Concentration (LC50) using Probit Analysis. Undergraduate Thesis. Bachelor of Science in Applied Mathematics with specialization in Statistics. Cavite State Univesity, Indang, Cavite, April 2016. Adviser: Prof. Antonio V. Cinto.

The study "Potential Toxicity of Bignai Extract in Median Lethal Concentration (LC50) using Probit Analysis" was conducted at Cavite State University — Don Severino Dela Alas Campus, Indang, Cavite. Generally, the study provided a model that describes the concentration-response relationship of the lethal activity of Bignai extract using probit analysis. Specifically, it aimed to: (/) construct a probit model that would predict probability of subject receptors' lethality given a concentration; (2) test the goodness-of-fit of the estimates and measure the adequacy of the constructed probit model; (3) establish the potential toxicity of Bignai extract in terms of median lethal concentration (LC50); and (4) categorize the toxicity level of Bignai extract in LC50-Probit analysis is a statistical tool that is commonly used to determine the relative toxicity of substances. In the study, the method was run by the maximum likelihood estimation using Newton-Raphson Algorithm. Through probit analysis, the developed probit regression model is given by: -3. 72 1 + 3.725x Model validity was tested through the following: goodness of fit test using Pearson's method, model adequacy measure using McFadden's, Cox & Snell's, and Nagelkerke's formulae, and deviance statistics test. All tests revealed satisfactory results regarding the significance and correctness of the constructed model. Thus LC50 of Bignai leaf extract computed using the probit regression model is established at 9.975 µg/ml with 95% liducial limits from 8.871 µg/ml to 1 1.830 .ig/m1 Using the Clarkson's toxicity criterion for the toxicity assessment of plant extracts, Bignai extract is classified as highly toxic. In general, results of the LC50 of Bignai provided a pharmacological basis for cytotoxicity, anti-cancer property, and insecticidal potential of the plant which warrants further investigation. Using the derived model, this study moreover provides relative information on the concentration-response relationship, which are the lethal probabilities given different concentrations of Bignai extract.

Submitted copy to the University Library. 02/14/2017 T-6205

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