Demonstrating a Rice-Husk-Based Adsorption Process Using Smartphone Colorimetry to Teach Students about Kinetic Models and Their Applications

Susaniya, Ankit; Jain, Seema; Vaish, Rahul

doi:10.1021/acs.jchemed.1c00065

Cited by 6 publications

(5 citation statements)

References 25 publications

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“…The idea of using smartphones, scanners, and digital cameras for scientific measurements and data acquisition is particularly intriguing to these students. It aligns with their everyday experiences and provides a tangible connection between their technological fluency and the world of analytical chemistry. − …”

Section: Introductionmentioning

confidence: 81%

A Smart Phone Based Low-Cost Flame Photometer Constructed from a Scrap Oil Tin Container for Lithium Detection from Psychotropic Drugs for Undergraduate Students

Kulkarni,

Watwe,

Khatavkar

et al. 2023

J. Chem. Educ.

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Section: Introductionmentioning

confidence: 81%

A Smart Phone Based Low-Cost Flame Photometer Constructed from a Scrap Oil Tin Container for Lithium Detection from Psychotropic Drugs for Undergraduate Students

Kulkarni,

Watwe,

Khatavkar

et al. 2023

J. Chem. Educ.

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“…In today’s era of electronics and technology, students are well-equipped with smartphones and are skilled in capturing images. The involvement of smartphones in their practical courses makes experiments interesting and fascinating for students, teaching them the uses of their favorite gadgets in academia. − …”

Section: Introductionmentioning

confidence: 99%

Simultaneous Determination of Ni(II) and Co(II) in Aqueous Solution Using an Image-Based Do-It-Yourself Photometer

Kulkarni,

Watwe,

Nirmal

et al. 2024

J. Chem. Educ.

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The principle of additivity of absorbances is a crucial method that can be used in the determination of two components individually from a mixture using a colorimeter/spectrophotometer. In this laboratory experiment, postgraduate students were introduced to the principle of additivity of absorbances and its application in the determination of nickel (Ni(II)) and cobalt (Co(II)) from unknown samples. The experiment provided students with a hands-on experience in the construction of a do-it-yourself (DIY) photometer containing three different light-emitting diode (LED) filters using low-cost, easily available materials. The students prepared the working standards of Ni(II) and Co(II) and captured their images in three different LED lights: red, green, and blue, which worked as filters. The images captured were then analyzed using ImageJ software, and RGB values from the images were extracted and converted to absorbances. The absorbances obtained from the images of different solutions of Ni(II) and Co(II) were plotted against their respective concentrations. Ni(II) showed a good regression coefficient value for red component absorbance that was recorded in the red LED filter, and Co(II) showed a good regression coefficient value for green component absorbance that was recorded in the green LED filter. The individual calibration curves of Ni(II) and Co(II) constructed in the presence of red and green LED filters were further used to determine individual concentrations of Ni(II) and Co(II). The calibration curves were constructed in Microsoft Excel, enhancing students' data entry skills. This experiment provides an easy method for the construction of a DIY photometer based on a smartphone as a detector with LED light filters, making it useful for teaching the simultaneous analysis of analytes from a mixture by using the principle of additivity of absorbances.

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“…Digital images acquired using electronic devices were also used for pH evaluation, titration, − investigation of friction and wetting, quantifications of abasic sites within DNA nucleotides, measurement of the contact angle, , quantification of surface protein adsorption, measurements of liquid binary diffusivities, measurement of fluorescence quenching, explorations of chemical kinetics, − finding p K a values . and lateral flow assays …”

Section: Introductionmentioning

confidence: 99%

Whey Protein Analysis Using the Lowry Assay and 96-Well-Plate Digital Images Acquired Using Smartphones

Assink Junior,

de Jesus,

Borges

2023

J. Chem. Educ.

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Here, students determine the total protein content in whey protein samples using the Lowry assay. Quantitative analysis was carried out using absorbance measured at 750 nm (standard method) and 96-well-plate digital images obtained using smartphones (proposed method). The proposed method was carried out using two smartphones (1 and 2). Smartphone 1 had a higher resolution than smartphone 2. The statistical evaluation of the data set produced by the students was carried out using JASP (Jeffreys's Amazing Statistics Program), and it was a valuable tool to teach descriptive statistics and hypothesis tests. We chose JASP because it is free and open-source software with a graphical user interface. The protein percentage found in five whey protein samples using the standard method during three lab classes was compared using one-way and two-way ANOVA. Five whey protein samples were analyzed using the standard method and the proposed methods (smartphones 1 and 2). The results were compared using one-way repeated measure ANOVA (RMANOVA) and mixed-factor ANOVA. During the statistical analysis of the data set, students identified outlier results using boxplots and checked data normality using the Shapiro−Wilk test, histograms, and boxplots. They learned the difference between dependent and independent variables and compared variances using Levene's test (dependent variables) and Mauchly's test (independent variables). The interpretation of statistical tests was also carried out using descriptives plots, boxplots, and raincloud plots.

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Demonstrating a Rice-Husk-Based Adsorption Process Using Smartphone Colorimetry to Teach Students about Kinetic Models and Their Applications

Cited by 6 publications

References 25 publications

A Smart Phone Based Low-Cost Flame Photometer Constructed from a Scrap Oil Tin Container for Lithium Detection from Psychotropic Drugs for Undergraduate Students

A Smart Phone Based Low-Cost Flame Photometer Constructed from a Scrap Oil Tin Container for Lithium Detection from Psychotropic Drugs for Undergraduate Students

Simultaneous Determination of Ni(II) and Co(II) in Aqueous Solution Using an Image-Based Do-It-Yourself Photometer

Whey Protein Analysis Using the Lowry Assay and 96-Well-Plate Digital Images Acquired Using Smartphones

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