Is this project an undergraduate, graduate, or faculty project?

Undergraduate

group

Poster Session

Authors' Class Standing

Katya Rivera - Junior Allison Larsen - Senior Foram Madiyar - Faculty Advisor (Mentor)

Lead Presenter's Name

Katya Rivera

Faculty Mentor Name

Foram Madiyar

Abstract

Biologically Active Compounds (BACs) are organic compounds that are rich in nutrients and have characteristics such as anti-hypertensive, anti-cancer, and antioxidant properties. When compared to conventional extraction methods, such as Soxhlet extraction, percolation, maceration, it takes a longer amount of time, resulting in lower percent yields, and the BACs are exposed to higher temperatures which might cause damage to the BACs when extracted. This review includes the factors that researchers have looked at are: temperature, pressure, the solvent to pomace ratio, and solvent effects which will allow us to better analyze the % yield of BACs extracted and optimize the procedure. The focus of this project is to review the statistical methods for studying the technique of ultra-high-pressure extraction of BACs from pomace (food waste). In conclusion, the multivariate statistic technique such as response surface methodology (RSM), has advantages to classical one-variable-a-time optimization, such as the generation of large amounts of information from a small number of experiments and the possibility of evaluating the interaction effect between the variables on the response.

Did this research project receive funding support (Spark or Ignite Grants) from the Office of Undergraduate Research?

No

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Review of the Statistical Analytical Techniques for the Optimization of Ultrahigh Pressure for Extracting Biologically Active Compounds

Biologically Active Compounds (BACs) are organic compounds that are rich in nutrients and have characteristics such as anti-hypertensive, anti-cancer, and antioxidant properties. When compared to conventional extraction methods, such as Soxhlet extraction, percolation, maceration, it takes a longer amount of time, resulting in lower percent yields, and the BACs are exposed to higher temperatures which might cause damage to the BACs when extracted. This review includes the factors that researchers have looked at are: temperature, pressure, the solvent to pomace ratio, and solvent effects which will allow us to better analyze the % yield of BACs extracted and optimize the procedure. The focus of this project is to review the statistical methods for studying the technique of ultra-high-pressure extraction of BACs from pomace (food waste). In conclusion, the multivariate statistic technique such as response surface methodology (RSM), has advantages to classical one-variable-a-time optimization, such as the generation of large amounts of information from a small number of experiments and the possibility of evaluating the interaction effect between the variables on the response.

 

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