Originpro 2023b

Data were collected in triplicate and the results were calculated and expressed as mean ± standard deviation where applicable. Statistical analysis was carried out using OriginPro 2023b (OriginLab, Northhampton, MA, USA). Statistical significance was established at p < 0.05.

Prior to data analysis, the Shapiro–Wilk test was carried out in IBM SPSS Statistics 26 (Armonk, NY, USA) to check the data in this study for normal distribution, and all data passed the test. We used the general linear model to analyze the effects of warming (W), increased precipitation (P), and their interactions (W × P) on C₃ and C₄ plants and soil. One-way ANOVA was performed to analyze the differences in C₃ and C₄ plants and soil under warming and increasing precipitation. The general linear model is as follows: $$Y=W+P+W\times P+I$$
where Y is an index of plant or soil, W is warming, P is increased precipitation, × is interaction, and I is the intercept.
In addition, Redundancy analysis (RDA) was carried out in Canoco 5, which was used to reveal the relationship between environmental factors and plant photosynthesis. In this paper, we used Microsoft Excel 2019 to make tables and used Origin Pro 2023b (Origin Lab, Northampton, MA, USA) to make figures.

Chemometric analysis, such as PCA, was performed on spectral data to minimize and obtain a new set of orthogonal variables retaining the maximum variability within the data. The new variables were established as components.
PCA analyses were calculated using a full range of the fingerprint register and parts of it. In addition, for standardization data purposes, it was necessary to apply 9-point smoothing, and baseline correction followed by min/max normalization using OPUS v7.0 software. The confidence ellipse around each class represents a 95% confidence interval region. Confidence ellipses can be used as an indicator of certainty about whether the samples truly belong to the specified group. OPUS v7.0 software (Bruker Optics, Ettlingen, Germany), Unscrambler X 10.4, and ORIGIN Pro 2023b (Learning edition) were used for preprocessed data, analysis, and plotting results, respectively.
All data were analyzed using Origin Pro 2023 software to calculate the significance value with the implemented one-way ANOVA using the Tukey test, p-values ≤ 0.05 were accepted as statistically significant.

If not otherwise stated, all presented data points represent mean values of at least three independent biological replicates ± standard error of the mean (SEM) and each biological replicate consisted of an appropriate number of technical replicates. To test for significant differences between untreated control (UTC) and treated samples, unpaired Student’s t-test as well as ANOVA test with Bonferroni correction were applied. Pearson’s correlation analysis was employed to investigate the association between FINs’ IC₅₀ / IC₂₅ values and ferroptosis-related markers. Data fits, statistical calculations and graphing were done using OriginPro 2023b (OriginLab, Northhampton, MA, USA). Statistical results were considered significant p < 0.05 (*) or highly significant p < 0.01 (**).

Data were collected in triplicate and the results were calculated and expressed as mean ± standard deviation where applicable. Statistical analysis was carried out using OriginPro 2023b (OriginLab, Northhampton, MA, USA). Statistical significance was established at p < 0.05.

A qualitative and quantitative analysis of the spectrum and data was conducted using the analysis software Vocal, which was paired with the instrument. In order to analyze the substances qualitatively, the application software included the NIST and IMS databases. Using the Reporter plugin, we directly compared the spectrum differences between the samples (three-dimensional spectra, two-dimensional top views, and the difference spectra). Using the Gallery plot plug-in, we compared the fingerprints of different samples to intuitively and quantitatively compare the VOCs. Originpro 2023b software was used for principal component analysis (PCA), TBtools v2.026 was used for cluster analysis, and SIMCA 14.1 was used to conduct a partial least squares discriminant analysis (PLS-DA).

The study was laid out in a randomized complete block design (RCBD) with four replicates for each treatment. Replicated data collected from each treatment were statistically analyzed using the analysis of variance technique (ANOVA) and presented in tables and figures as mean (n=4) ± standard error (SE). Later on, the LSD test (least significant differences) at a 5% probability level was used to check significance between treatment means. For statistical analysis, STATISTIX-8.1 was employed, and for correlation analysis with the final graphical presentation (figures, tables, etc.), OriginPro 2023b software was used.