2019
DOI: 10.1016/j.microc.2019.02.053
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Iron (III) determination in bioethanol fuel using a smartphone-based device

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Cited by 37 publications
(19 citation statements)
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“…The light signaling sent from the device by connected to the smartphone device calibration was stable. The method was found to be accurate and precise because recovery of color intensity was high compared with optimal values of color stability in the studies about colorimetric determination of streptomycin with the help of anthocyanin dye and iron (III) in bioethanol fuel via smartphone [34,35]. A previous study investigated the desirable odor healing of chicken oil after lipoxygenase treatment by the techniques of gas chromatography and sensory evaluation.…”
Section: Resultsmentioning
confidence: 99%
“…The light signaling sent from the device by connected to the smartphone device calibration was stable. The method was found to be accurate and precise because recovery of color intensity was high compared with optimal values of color stability in the studies about colorimetric determination of streptomycin with the help of anthocyanin dye and iron (III) in bioethanol fuel via smartphone [34,35]. A previous study investigated the desirable odor healing of chicken oil after lipoxygenase treatment by the techniques of gas chromatography and sensory evaluation.…”
Section: Resultsmentioning
confidence: 99%
“…By evaluating the works that used smartphones for image acquisition and performed the external processing of the acquired data (Figure 1), we can see that these devices are explored in several areas, such as the detection of diseases and markers of diseases causing in the medical field, immunoassay, 18–27 quality control of the environment, 28–39 forensic analysis, 40–42 control and quality of beverages and food, 15,43–64 quality evaluation of pharmaceutical products, 54,65,66 fuel quality control, 67,68 pigments, 69 chemical education, kinetic studies, and chemical receptors 70–77 …”
Section: Introductionmentioning
confidence: 99%
“…For example, test strips have been combined with a smartphone to quantify bacteria in food [2]. There are various smartphone-based systems for detecting food and water contaminants, including heavy metals [3,4], microorganisms and parasites [5,6].…”
Section: Introductionmentioning
confidence: 99%
“…The analysis of substances by a smartphone is based mainly on colorimetric [3,4], fluorescent [7], luminescent [6] and electrochemical [8] methods (Table 1). Smartphone-based assays are already used in healthcare, food control [9,10] and environmental protection [11].…”
Section: Introductionmentioning
confidence: 99%
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