02491nam a22002057a 4500 20231027114704.0 231027b ||||| |||| 00| 0 eng d 0021-9584 Assink Junior, Eder José Whey Protein Analysis Using the Lowry Assay and 96-Well-Plate Digital Images Acquired Using Smartphones (Journal Article) Washington DC :American Chemical Society ,2023 2329-2338p. Journal of Chemical Society , Volume 100: Number 6, June 2023 ***______{For Hard Copy, Please visit Library.}________*** Abstract: 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. Graduate Education | Analytical Chemistry | Chemoinformatics | Interdisciplinary/Multidisciplinary | Chemometrics | Computational Chemistry Jesus, Paulo Cesar de | Borges, Endler Marcel https://pubs.acs.org/doi/10.1021/acs.jchemed.2c00830 PER 0 0 0 0 RIEBPL RIEBPL 2023-10-27 0 2023-10-27 00:00:00 2023-10-27 PER 44616 44615