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25 protocols using origin 2022b

1

Pulp Characterization Protocol

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The results of the pulp characterization were expressed as mean average ± standard deviation (SD). Statistical analysis was performed using Tukey’s multiple comparison test (p < 0.05) to determine significant differences among two groups using Origin 2022b (OriginLab Corporation, Massachusetts, USA). Tukey’s multiple comparisons tests were applied to following results: dry matter content, total soluble solids, pH-values, water activities, colour and browning index, peroxidase activity and descriptive sensory evaluation (taste and aroma profile).
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2

Analyzing Statistical Significance in Experimental Data

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Values were expressed as the mean value ± standard deviation. Statistical analyses were performed using IBM SPSS Statistics 26 software (IBM Corporation, Armonk, NY, USA). The differences between groups were distinguished using one-way ANOVA and Duncan’s multiple range tests, and p < 0.05 was considered statistically significant and indicated by different letters. Some data were plotted using Origin2022b software (OriginLab Corporation, Northampton, MA, USA).
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3

Thermal Stability of PspA1 Protein

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The secondary structure and thermal stability of PspA1 at different temperatures were assessed by circular dichroism (CD) using the spectropolarimeter J-810-150S (Jasco Corporation, Japan). Samples from the highest purity of PspA1 were diluted 100 × in water to reduce the absorptive effect of the buffer. For the secondary structure, measurements were obtained from 183 to 260 nm, and the final CD spectra resulted from the mean of five measurements. Deconvolution was calculated based on the Dichroweb online database (Whitmore and Wallace 2004 (link)) with CDSSTR algorithm (Sreerama and Woody 2000 (link)). For the thermal stability, the sample was submitted to an increase of temperature of 1 °C/min, from 2 to 98 °C and cooled back from 98 to 2 °C, and the alterations in the secondary structure were assessed at 222 nm. The results obtained from the readings were used to build graphs with the software Origin 2022b (OriginLab, USA). For the thermal stability analysis, the results were fitted in a sigmoidal non-parametric model and the inflection point of the curves (Tm) was determined from the heating, or positive variation of temperature (ΔT +), and cooling, or negative variation of temperature (ΔT −), of the sample.
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4

Plasmid Stability and Organic Acid Analysis

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The carbon source consumption and production of organic acids were analyzed by HPLC using an Aminex HPX-87H column (300 cm × 7.8 mm; 9 µm particle size; 8% cross linkage) (Bio-Rad, USA) attached to 1260 Infinity (Agilent Technologies, USA) and using a system flow of 0.6 mL/min of a 5 mM sulfuric acid as the mobile phase at 60 °C. The refraction index detector was used for detection of sugars, and the UV detector at 210 nm for organic acids. Standard solutions with known concentration of glucose (1.0 to 5.0 g/L), oxalic acid (0.2 to 1.6 mM), citric acid (1.0 to 8.0 mM), malic acid (2.0 to 16 mM), formic acid (5.0 to 40 mM), and acetic acid (10 to 80 mM) were used for quantification of the components. For plasmid stability assessment, samples of the culture, collected right before induction and each hour after the induction, were diluted, plated on LB agar, and incubated for 24 h at 37 °C. Then, at least 100 colonies from each timepoint were simultaneously replicated in LB agar with and without kanamycin. After incubation at the same conditions, the percentage of antibiotic-resistant colonies in relation to the total colonies recovered without antibiotic was calculated and defined as the plasmid stability. The results obtained, together with the cell concentration measurement, were used to build the graph using the software Origin 2022b (OriginLab, USA).
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5

Statistical Analysis of Experimental Data

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The results were expressed as the mean ± standard deviation (SD). Statistical analysis was performed using Tukey's multiple comparison test (p < .05) to determine significant differences between two groups using Origin 2022b (OriginLab Corporation). With the same software, Spearman's list‐wise correlation analysis was performed to establish associations between the results.
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6

Robust Data Analysis and Visualization

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Data were sorted and tabulated using Excel 2016 (Microsoft, Seattle, WA, USA), and graphs were generated using Origin 2022b (OriginLab, Northampton, MA, USA). All data were analyzed with IBM SPSS Statistics 19.0 (IBM Corp., Armonk, NY, USA). Tukey’s honestly significant difference (HSD) test was used to determine the significance of differences between means (P < 0.05).
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7

Characterizing PMMA Sheet Hardness

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Surface hardness was measured with a Zwick/Roell Indentec ZHµ hardness (Gravimeta, Oporto, Portugal) testing machine using a 300 gf load and a dwell time of 15 s. Analysis conditions were selected based on a recent study on the characterization and long-term stability of historical PMMA sheets [9 (link)]. Tests were performed on one sample out of the three exposed to each CO2 trial. Hardness values and standard deviation were determined as the average of 10 independent readings (5 on each side) obtained at a distance > 5d from each other. Measurements were collected approximately 3 h after exposure to CO2 and after 2 days and 1, 2, 4, and 35 weeks. Variations in hardness values for each sample over time were determined by comparison with a set of four control samples that had not been exposed to CO2.
Hardness values for control and CO2-exposed samples were compared using a one-way ANOVA statistical test. Where results were statistically different, a post hoc test (Tukey–Kramer multiple comparison) was performed. Results for these tests are reported above related graphs in lower-case letters. Where no statistical differences were revealed, the bars are labeled with the same letter(s). All statistical tests were conducted using the Origin 2022b software (OriginLab Corporation, Northampton, MA, USA).
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8

Predictors of Liver Function Impairment

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Quantitative variables were presented as mean ± SD or median [IQR]. Categorical variables were presented as number (percentage). The differences between two groups were compared using T-test (for normal distribution variables), Mann–Whitney U-test (for non-normal distribution variables), or Chi-square test (for categorical variables). Univariable and multivariable analyses were performed to identify the independent predictors of LFP. Receiver operating characteristic (ROC) curves were used to assess the performances of NITs. The comparison of the area under ROC curves (AUROCs) was performed using the DeLong test.11 (link)
p < 0.05 was considered to be statistically significant. All statistical analyses were performed using SPSS V 0.19.0 (SPSS Inc., IL, and USA), GraphPad Prism 8.0 (Inc., La Jolla, and CA), and Origin 2022b (Origin Lab Inc., and USA).
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9

ICP-OES Analytical Methodology for Biochar

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Certified reference solutions were verified in addition to the biochar solution sample. Both internal (Y) and external standards were examined in every ICP-OES analysis. Standard solutions with R2 > 0.995 were established before each study to calibrate the system. Three replicated measurements were made for every sample. ICP Expert Software v7.1.0.6821 (Agilent Technologies, Santa Clara, CA, USA) was used to analyze the ICP-OES data. All the containers utilized in the tests were washed with laboratory-grade detergent, steeped in a 10% nitric acid solution for the duration of the night, then flooded with deionized (DI) water before receiving a final rinse with DI water. Significant differences (p < 0.05) and the Tukey–Kramer honestly significant difference test were evaluated using the statistical tool JMP 15.2 (SAS Institute Inc., Cary, NC, USA). The Origin 2022b statistical program (OriginPro, Version 2022b, OriginLab Corporation, Northampton, MA, USA) was used to create data visualizations.
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10

Quantifying Biomolecular Interactions

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All measurements were performed in triplicate. The data were reported as mean ± standard deviation and assessed via one-way analysis of variance (ANOVA) using IBM SPSS 26 (Chicago, USA), with p < 0.05 considered statistically significant. The figures were plotted using Origin 2022b (OriginLab, USA).
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