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هشتمین سمینار دوسالانه کمومتریکس ایران
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| عنوان فارسی |
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| چکیده فارسی مقاله |
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| کلیدواژه‌های فارسی مقاله |
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| عنوان انگلیسی |
The effect of experimental factors on quality of extracted essential oils from sweet fennel using GC-MASS with the aid of chemometrics |
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| چکیده انگلیسی مقاله |
ABSTRACT Experimental design is a fundamental element in nearly all science domains, including analytical chemistry and chemometrics (1). ANOVA commonly uses univariate data and is one of the fundamental tools in many research domains. It is used to identify the impact on the variation in a data set of various experimental conditions (2). One method is to hyphenate Analysis of Variance (ANOVA) and PCA, resulting in a method that is applicable to multi-factor, high-dimensional data. This combination has resulted in a family of methods, the most well-known of which is ANOVA-Simultaneous Component Analysis (ASCA) (1). ASCA is a data analyst-friendly method that can be used to extract more information from a multivariate dataset from a defined experiment than existing methods (2). ASCA was found to be especially useful for analyzing the impacts of complicated data sets with a large number of variables to measure (3). The goal of this study is to see how reliable a multivariate statistical tool (ASCA) is for studying significant metabolites and affecting factors like: mesh size, distillation time, and ultrasonic effect (as well as their interaction) in order to determine the high quality of Foeniculi fructus oil and compared with results obtained from the D-optimal method and ANOVA in GC-Mass data. The essential oil Foeniculi fructus (sweet fennel) is extracted from the ripe and dried fruits of the plant Foeniculum vulgare Mill. Steam distillation of crushed sweet fennel fruits is the most common method for obtaining essential oil from sweet fennel fruits. Steam distilled oils of sweet fennel seeds commonly contain: trans-anethole, estragole, d-fenchone, and other compounds. Bitter fennel oil is thought to have more fenchone (12-25%) and less transanethole (55-75%) than sweeter fennel (4). The main purpose of this work was to compare two methods of chemometics (ASCA and ANOVA) to identify and qualify essential oil from sweet fennel by examining important metabolites derived from GC-Mass data. |
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| کلیدواژه‌های انگلیسی مقاله |
ANOVA، ASCA، sweet fennel، GC-Mass، Anethole، Estragole، D-Fenchone. |
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| نویسندگان مقاله |
مریم خوشکام - دانشگاه محقق اردبیلی
لیلا مرادی - دانشگاه محقق اردبیلی
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| نشانی اینترنتی |
http://chemo2021.modares.ac.ir/browse.php?a_code=A-10-165-1&slc_lang=fa&sid=1 |
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| زبان مقاله منتشر شده |
fa |
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