2015
DOI: 10.1016/j.microc.2014.08.008
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Determination of polycyclic aromatic hydrocarbons in artisanal cachaça by DI-CF-SPME–GC/MS

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Cited by 27 publications
(18 citation statements)
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“…A comparison between the extraction efficiencies using the proposed fiber and commercial fibers (PDMS/DVB and PDMS) was performed. The conditions for the extractions using commercial fibers were optimized (data not shown) as extraction time of 70 min at 80 • C. These values are much closed to those mentioned in the literature (extractions of 60 min at 70 • C) [22][23][24]. Figure 4 shows this comparison through bar graph using normalized peak area and considering the film thickness of each fiber.…”
Section: Comparison Between the Extraction Efficiencies Of The Biosormentioning
confidence: 89%
“…A comparison between the extraction efficiencies using the proposed fiber and commercial fibers (PDMS/DVB and PDMS) was performed. The conditions for the extractions using commercial fibers were optimized (data not shown) as extraction time of 70 min at 80 • C. These values are much closed to those mentioned in the literature (extractions of 60 min at 70 • C) [22][23][24]. Figure 4 shows this comparison through bar graph using normalized peak area and considering the film thickness of each fiber.…”
Section: Comparison Between the Extraction Efficiencies Of The Biosormentioning
confidence: 89%
“…All (50) GF products were signed with a Crossed Grain symbol, which is given to the products with natural absence or acceptable level of gluten (below 20 mg kg −1 ). 16 Selected products included flours (14), breads (5), mixes for breads and cookies (6), snacks (8), pastas (4), flakes (8), and others such as grouts or beverages (5). Selected products were divided into two groups: 'traditional' (T) and 'alternative' (A) GF products.…”
Section: Methodsmentioning
confidence: 99%
“…They are often used in food studies to classify products according to various parameters. [5][6][7] PCA is a variable reduction procedure transforming a number of possibly correlated variables into a smaller number of variables called principal components, which are linear transformations of the original variables. The purpose of HCA is grouping objects into 'clusters' according to their similarity (or relations).…”
Section: Introductionmentioning
confidence: 99%
“…It was observed that the third extraction presented low amounts of analytes, and none of the analytes showed linearity. Thus, only the first and second extractions were used to estimate the total area, according to equation (4). Other approaches such as summing the first and second peak areas for each analyte or the first, second and third peak areas were also evaluated, but the best procedure was attained by using equation (4), derived from the multiple extraction theory.…”
Section: Comparison Between Dispersive Liquid-liquid Microextraction mentioning
confidence: 99%