A Smartphone‐Assisted Sensitive, Selective and Reversible Recognition of Copper Ions in an Aqueous Medium

Kumar, Arvind; Bera, Anuradha; Kumar, Satish

doi:10.1002/slct.201904399

Cited by 24 publications

(7 citation statements)

References 64 publications

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“…The color change can be easily analyzed by taking digital images using frequently available smartphones. The digital images can be analyzed for change in intensity based on RGB color space along with hue and saturation, which on analysis can be used as a digital optical signal for concentration analysis [27b,29,37] . To exploit the alteration in color on paper strips caused by cyanide ion, test strips of probe 1 were soaked in solutions of cyanide ions having different concentrations.…”

Section: Resultsmentioning

confidence: 99%

Cyanide‐Ion‐Induced J‐Aggregation of Merocyanine Dye for Paper‐Based Colorimetric Detection in Water

Kumar

2021

ChemistrySelect

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A probe based on merocyanine dye was synthesized as a salt of p‐toluenesulfonate. Owing to the high solubility of merocyanine dye in water and H‐bonding ability, it was investigated for anion‐induced aggregation properties in the buffered medium [CH3CN: water (1 : 1/v: v)]. The probe recognized the existence of cyanide ion by forming an H‐bond and displacing the p‐toluenesulfonate group. The probe displayed a bluish‐purple color in response to cyanide ion addition, which was initially light pink. The complex formation and aggregation properties of the probe were investigated using techniques like naked eye detection, digital colorimetry, UV‐Visible, 1H‐NMR, and dynamic light scattering (DLS). Paper and solution‐based techniques aided by a smartphone were also used successfully in the determination process. An excellent limit of detection value (LOD) was witnessed in all the techniques exploited for sensing cyanide ions. Methods based on density functional theory (DFT) were also used to investigate the complex formation and observed a good correlation in experimental and theoretical results.

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Section: Resultsmentioning

confidence: 99%

Cyanide‐Ion‐Induced J‐Aggregation of Merocyanine Dye for Paper‐Based Colorimetric Detection in Water

Kumar

2021

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“…In addition, another advantage is that the digital camera on smartphones is used by almost many people so this method is easy and fast [14]. Research on digital image colorimetry on smartphones for chemical analysis has shown great interest in recent years, such as the analysis of metals Hg 2+ [15], Cu 2+ [16], paraoxon herbicides [17], methyl parathion pesticides [18], and tetracycline [19].…”

Section: Introductionmentioning

confidence: 99%

A Simple Methods for Determination of Methylene Blue using Smartphone-Based as Digital Image Colorimetry

et al. 2023

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The advancement of smartphones that produce high-resolution photos has made their use even more developed. One application that is currently developing is a digital image produced as colorimetry. Digital image-based colorimetry is an easy and simple determination method and can be an alternative for analyzing dyes quantitatively. In this method, the color response of the digital image is analyzed, namely red-green-blue (RGB) with values from 0 to 255. This data is extracted from digital images using ImageJ 1.52a software for quantitative determination. In this study, 2 standard methods were used, namely external standards and standard addition to evaluating the most suitable method to obtain accurate measurements. In addition, 2 methods were used to determine the relationship of response to methylene blue levels. The 1st method used simple linear regression of each color red, green, or blue (univariate). The 2nd method is used in multivariate linear regression of the 3 colors red, green, and blue. The accuracy of the method was validated using UV-Vis spectrophotometry as the reference method. The results showed that the multivariate models produced very good accuracy, namely precision of up to 99 % compared to the simple regression method with the univariate. HIGHLIGHTS Smartphone cameras can be applied easily as a simple, fast, and inexpensive colorimetric method for quantitative analysis of methylene blue content The univariate models for external standard and standard addition methods showed up to 90 % precision for fish drug samples against UV-Vis spectrophotometric methods The multivariate models for the external standard method provide up to 99 % precision results for fish drug samples against UV-Vis spectrophotometric methods· GRAPHICAL ABSTRACT

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“…The use of images obtained from digital devices and their processing to obtain the color modes (e. g. RGB, HSV, CMYK, and grayscale) has been successfully explored for the determination of Ca 2 + , Co 2 + , Cr 6 + , Cu 2 + , Hg 2 + , Fe 3 + , Fe 2 + , Mg 2 + and Pb 2 + in colored solutions from water, [16][17][18][19][20][21] alcoholic beverages, [22][23][24][25] foodstuffs, [21,[26][27] soils, [20] and biodiesel [28] samples. These methods are attractive due to their simplicity, inexpensiveness, high sample throughput, and possible portability.…”

Section: Introductionmentioning

confidence: 99%

Direct Determination of the Aluminum Content in Antiperspirants Using Digital Image Colorimetry

Teixeira,

Virgilio,

Santos

2023

ChemistrySelect

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In this work a dilute‐and‐shoot procedure using digital image colorimetry (DIC) was evaluated for the determination of aluminum in antiperspirants. Derivatization was performed by means of the reaction between Al(III) and Alizarin Red S (ARS) reagent. Digital images were acquired using a table scanner and the average values for red, green and blue channels (RGB) were obtained. Optimal conditions were set at pH=4.5, ARS concentrations 10‐fold higher than Al(III) and using the G channel. The method presented linearity in the 2.0–10.0 mg L−1 range, the limit of detection (LOD) was 1.1 mg L−1 and precision was better than 2.55 %. Accuracy was checked by the analysis of spiked samples at 2.0 and 4.0 mg L−1 Al(III), and good recoveries (82.6–117.5 %) were obtained. Eight samples of roll‐on antiperspirants were analyzed by the proposed colorimetric method and the well‐stablished flame atomic absorption spectrometry (FAAS) comparative method. The obtained results were not statistically different at 95 % confidence level. An analytical greenness assessment was performed for both methods and the procedure based on digital image colorimetry was proven to be a greener approach due to miniaturization, low sample consumption, least amount of waste and high sample throughput.

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A Smartphone‐Assisted Sensitive, Selective and Reversible Recognition of Copper Ions in an Aqueous Medium

Cited by 24 publications

References 64 publications

Cyanide‐Ion‐Induced J‐Aggregation of Merocyanine Dye for Paper‐Based Colorimetric Detection in Water

Cyanide‐Ion‐Induced J‐Aggregation of Merocyanine Dye for Paper‐Based Colorimetric Detection in Water

A Simple Methods for Determination of Methylene Blue using Smartphone-Based as Digital Image Colorimetry

Direct Determination of the Aluminum Content in Antiperspirants Using Digital Image Colorimetry

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