The results of five independent replicates were expressed as the mean ± standard deviation. Obtained results were analysed using statistical softwares: Excel 2010 (Microsoft Office) and Origin 2021 Pro the Ultimate Software for Graphing and Analysis (OriginLab Corporation, One Roundhouse Plaza, Suite 303, Northampton, MA 01060, USA) licensed by the Jagiellonian University in Krakow.
Origin 2021 pro
Manufactured by OriginLab
Sourced in United States
Origin 2021 Pro is a data analysis and graphing software developed by OriginLab. It provides tools for data manipulation, visualization, and scientific graphing. The software supports a wide range of data file formats and offers features for curve fitting, statistical analysis, and report generation.
Automatically generated - may contain errors
6 protocols using origin 2021 pro
1
Replicative Analysis of Experimental Data
2
Multivariate Analysis of Piglet Portal Amino Acids
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The IBM SPSS 19.0 statistics software package (IBM Corp., Armonk, NY, USA) was used to perform the data analysis. All the data were checked for a normal distribution and homogeneous variance using Levene’s test procedure, One-way analysis of variance (ANOVA) followed by Tukey’s post-hoc test was subsequently used to analyze all the experimental data. The Euclidean distance was calculated after the portal amino acid concentrations were log-standardized. Based on Euclidean distance, cluster analysis was performed to compare the differences in portal amino acid patterns of piglets among the different treatment groups. Correlation analysis was used to analyze the relationship between the mRNA expression of glucose and amino acid transporters in the intestinal epithelium. The cluster analysis loading heatmap and correlation analysis loading heatmap were generated with the Origin 2021 Pro software package (OriginLab, Northampton, MA, USA). The data were expressed as the mean and standard deviation. Differences at a P-value ≤ 0.01 were considered highly significant; differences at a P-value ≤ 0.05 were considered significant.
3
Statistical Analysis of Experimental Data
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Quantitative experiments were performed at least in triplicates to avoid any possible bias by environmental effects or unintentional error. Raw data were processed in Excel (Microsoft). Statistical analyses were performed using GraphPad Prism 7 (GraphPad) or Origin 2021 Pro (OriginLab). All data sets were tested for normality by the Shapiro–Wilk test. Statistical differences between normally distributed datasets of two groups were revealed by the t test and not normally distributed datasets of two groups by the non-parametric Mann–Whitney U rank-sum test. The Mann–Whitney test was used and P value (two-tailed) was obtained (P value: 0.12 (ns), 0.033 (*), 0.002 (**), <0.001 (***)). For comparison of more than two groups, the statistical significance of normally distributed data was examined by one-way ANOVA followed by Tukey Multiple Comparison. In the case of not normally distributed data, the non-parametric Kruskal–Wallis test followed by Dunn’s Multiple Comparison was used. Statistical differences are reported as *p < 0.05, **p < 0.01, ***p < 0.001, and n.s.
4
Comprehensive Analysis of Mulberry Wine Fermentation
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Statistical analyses were performed using the SPSS 21.0 software (IBM SPSS Inc., Chicago, Michigan, USA). The alpha diversity of the microbial communities was assessed using the Chao 1 and Shannon indices, which were computed using the appropriate functions within the R package. Principal coordinate analysis (PCoA) was used to evaluate the distribution patterns of the microbial communities. ANOSIM and permutation multivariate analysis of variance (PMANOVA) were performed to determine the significant differences between the sample groups based on Bray–Curtis distance matrices. The definition of the core microbiota was illustrated using “igraph”. OPLS-DA was used with the SIMCA 14.1 package (Sartorius Stedim Data Analytics AB, Umea, Sweden). Microbial and volatile components histograms were created using Origin 2021pro software (OriginLab Corp., Northampton, MA, USA) and Microsoft Excel 2019 (Microsoft Windows Office, USA). Additionally, RDA was used to analyze the correlation between oenological parameter variables and the core microbiota in the “vegan” R package. Network visualization was used to clarify the correlation between the core microbiota and the key differential aromas in mulberry wine fermentation, performed using Gephi (v0.9.5).
5
Detailed Multivariate Analysis of Research Data
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All measurements were repeated at least thrice, and the results were presented as mean ± standard deviation (SD). Data were processed and plotted using SPSS statistical software (version 25.0; SPSS Inc., Chicago, IL, USA) and Origin 2021 Pro (Origin Lab, Northampton, MA, USA). Data were analyzed using a one-way analysis of variance (ANOVA), and multiple comparisons were performed using Duncan’s Multiple Range Test (DMRT) with a significance level of 0.05 through SPSS 25.0 software. Furthermore, principal component analysis (PCA) and Pearson’s correlation analyses were also performed using the relevant application software in Origin 2021 Pro.
6
Spatial Distribution and Risk Analysis
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Analysis of the data discrepancy was computed by ANOVA with SPSS 25.0 software (IBM, USA) and the figure was represented using the Origin 2021Pro (Origin Lab, USA). The spatial distribution was analyzed by the inverse distance weight method by the ArcGis10.5 software (Esri, USA). The Monte Carlo simulation method was employed to estimate probabilistic carcinogenic and non-carcinogenic risks of human beings using Crystal Ball 11.24 (Oracle, USA), and the simulation was run for 10,000 iterations.
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