2022
DOI: 10.1016/j.jfca.2022.104782
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Bio-derived solvent-based dispersive liquid-liquid microextraction followed by smartphone digital image colorimetry for the detection of carbofuran in cereals

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Cited by 5 publications
(2 citation statements)
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“…Finally, in some cases, they may have higher solubility and better compatibility with other chemicals. However, bio-based solvents also have some disadvantages, mainly related to the cost of production, which can be higher than that of other traditional solvents due to the higher cost of sourcing and processing renewable biomass [62,63]. The use of bio-based solvents for the extraction of carotenoids has been broadly studied and, overall, offers several advantages over petroleum-derived solvents in terms of environment [64].…”
Section: Extraction Of Carotenoids With Bio-based Solventsmentioning
confidence: 99%
“…Finally, in some cases, they may have higher solubility and better compatibility with other chemicals. However, bio-based solvents also have some disadvantages, mainly related to the cost of production, which can be higher than that of other traditional solvents due to the higher cost of sourcing and processing renewable biomass [62,63]. The use of bio-based solvents for the extraction of carotenoids has been broadly studied and, overall, offers several advantages over petroleum-derived solvents in terms of environment [64].…”
Section: Extraction Of Carotenoids With Bio-based Solventsmentioning
confidence: 99%
“…However, Foods 2023, 12, 1896 2 of 15 visual colorimetry is less accurate than photoelectric colorimetry because it is difficult to distinguish subtle color differences by observing the target color level with the naked eye [13]. Nowadays, the combination of colorimetric methods, image acquisition tools (such as cell phones, cameras, and scanners), and processing software (such as Adobe Photoshop [14], Image J [15], MATLAB [16], Pantone Studio [17], etc.) provides a new method for simple and accurate colorimetric detection, which can eliminate the subjective error of the observer and further improve the accuracy of visual observation in the field [18].…”
Section: Introductionmentioning
confidence: 99%