2022
DOI: 10.55730/1300-0527.3436
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A simple quantitative method using TLC-image analysis to determine fructooligosaccharides (FOS) in food samples

Abstract: The thin-layer chromatography technique (TLC) is a simple and inexpensive analysis commonly used to identify qualitatively the presence of carbohydrates in food samples such as mono- di and oligosaccharides particularly. TLC assay could be improved using image processing software for the semiquantitative determination of this type of compound. In the present work, TLC-image analysis with Silica Gel 60 TLC plates was used for the semiquantitative determination of 6 standards of carbohydrates (glucose, fructose,… Show more

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Cited by 2 publications
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“…Recent developments in digital image technology allow for a more precise quantitative analysis of the TLC plate based on the image and several studies have been conducted on quantitative determination employing TLC-IA, where a flatbed scanner is utilized to capture the image of the colored analyte spots [20]. Due to being cost-effective and straightforward analysis method TLC is a frequently employed for the qualitative identification of sample content [21]. In this study TLC was effectively used to differentiate between the colored components of inks and RGB (stands for red, green, and blue) [22] analysis.…”
Section: Experimental Admittancementioning
confidence: 99%
“…Recent developments in digital image technology allow for a more precise quantitative analysis of the TLC plate based on the image and several studies have been conducted on quantitative determination employing TLC-IA, where a flatbed scanner is utilized to capture the image of the colored analyte spots [20]. Due to being cost-effective and straightforward analysis method TLC is a frequently employed for the qualitative identification of sample content [21]. In this study TLC was effectively used to differentiate between the colored components of inks and RGB (stands for red, green, and blue) [22] analysis.…”
Section: Experimental Admittancementioning
confidence: 99%