Supporting data: reaction–demixing coupling and Cu(II) uptake at ionisable acidic sites in Jatropha-oil-derived precursor/polyethersulfone membranes

Published: 17 September 2026| Version 5 | DOI: 10.17632/d7kzsw7sz2.5
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Description

Supporting data for the article “Reactive aqueous NIPS of a Jatropha-oil-derived precursor with polyethersulfone: reaction–demixing coupling and Cu(II) uptake at ionisable acid sites” (Journal of Membrane Science). Every mean ± SD printed in the article and its Supporting Information is recomputable from these records, as is every p value in Table S87 (48 comparisons in 14 families). No vendor-native instrument files or raw images are included. FILES 1. JPUPES_Supporting_Data.xlsx (76 sheets) • Summary — one row per condition-by-metric group with n, mean, SD and RSD (1,925 groups). • Raw_Data — the 5,732 replicate observations those statistics are computed from, keyed to the same Group ID. • 70 point-level sheets — the curves and spectra behind the figures: demixing kinetics, ATR-FTIR, XPS, XANES/EXAFS, EPR, TGA/DSC, stress–strain, uptake kinetics, titrations, single-pass breakthrough, pressure ramps, eluate assays, polyol characterisation, the copper loss-pathway series, and calibration and run logs. • Derived_Calculations — formula, input dataset and value for each of the 113 printed quantities that are not direct replicate statistics. • Dataset_Index, Dataset_Parameters, README — dataset metadata, sheet inventory and reporting conventions. 2. Figure_Table_RawData_Map.xlsx — maps each of the 163 figures, tables and notes to the dataset underlying its quantitative content, with a 143-entry dataset inventory. 3. MANIFEST.md — record description and file list. 4. MD5SUMS.txt — checksums for the other files. NEW IN VERSION 5 Dataset LOSS-PATH (Note S23; Tables S94–S95): the single-pass copper balance measured four times without a membrane stack and four times with a 50/50 DMF stack, a component-resolved 0.1 M HNO3 strip of the reservoir, pump line, module housing, permeate line and sampling vials with triplicate readings and acid blanks, and spike recovery at 50 and 5 mg/L per AAS batch (LOSS_PATH_runs_raw, LOSS_PATH_strip_raw, LOSS_PATH_QC_raw; 45 groups, 252 observations). No earlier value is changed. NEW IN VERSION 4 Polyol acid value and GPC (JOL_AV_*, JOL_GPC_*); replicated 72 h endurance (ENDUR_REP_raw); post-cycling integrity (CYC_INTEG_raw); replicated thermal analysis (THERM_REP_*); displacement porometry (POROMETRY_raw); single-pass breakthrough in a multicomponent matrix with paired pure-copper runs (SP_MATRIX_*). CONVENTIONS SD is the sample standard deviation of the n raw values; RSD is SD/|mean| × 100, blank where |mean| < 1. Four groups record a non-numeric outcome and carry no dispersion. Three scale discrepancies between series measured at different times are recorded rather than reconciled (README; Note S9). One XPS spectrum retains a single-channel spike at 945.0 eV as acquired; no reported quantity uses that channel. In the multicomponent breakthrough series one run stopped at Cp/C0 = 0.897 and its endpoints are extrapolated (Note S22; Table S93).

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Full experimental protocols are provided in the manuscript (Sections 2.1–2.11) and Supporting Information (Notes S1–S23). This field summarizes how the records were generated and how printed values trace to them. ## HOW THE DATA WERE GENERATED Membranes were prepared by reactive aqueous nonsolvent-induced phase separation using an NCO-terminated Jatropha-oil-derived precursor, PES, and DMF or NMP; water coagulation formed the asymmetric membrane and converted residual NCO into a urethane–urea network. “JPU/PES 50/50” is the precursor:PES mass ratio in the casting dope. Reaction–demixing coupling was tested by comparing each dope with an end-capped composition-matched control using transmitted-light and rapid ATR measurements. Compositions were screened against a 0.8 bar burst-pressure gate, with triplicates at boundary ratios. Solvent-specific process mapping used a three-factor response-surface design with confirmation runs. Performance measurements included pure-water permeability on ascending/descending pressure ramps, burst pressure, PEG rejection, displacement porometry, and 336 h and 72 h cross-flow testing. Copper capture was measured by 168 h static uptake, 180 min mass balance, single-pass breakthrough in single-solute and multicomponent feeds, and five adsorption–regeneration cycles; eluates were assayed for Cu and free acid, and spent membranes were digested and re-titrated. The single-pass balance was closed with and without a membrane stack and by a component-resolved acid strip of the circuit, with spike recovery per AAS batch. Binding-site density was measured by potentiometric titration with paired uptake. Coordination was assessed by XPS, Cu K-edge XANES/EXAFS, and EPR on membranes, model films, and a nitrogen-free control. Unless stated otherwise in Dataset_Parameters, dispersion is the sample SD across independently prepared replicates. ## HOW TO REPRODUCE A PRINTED VALUE 1. Use Figure_Table_RawData_Map.xlsx to identify the dataset for each figure, table, or note. 2. In JPUPES_Supporting_Data.xlsx, open Summary and filter to that dataset. Each row reports n, mean, SD, and RSD for one condition–metric group. 3. Replicate values are in Raw_Data under the same Group ID. Recalculate the mean and STDEV.S to reproduce the printed value at its reported precision. 4. Non-replicate quantities are listed in Derived_Calculations with formula, source dataset, and calculated value. 5. Curves and spectra are stored in the point-level sheets named in the Map. File integrity can be checked with: `md5sum -c MD5SUMS.txt` ## STATISTICAL RESULTS All between-group comparisons are registered in Supporting Information Table S87, including family, family size, mean difference, 95% CI, and p values from Welch and pooled-variance two-sample t-tests, before and after Bonferroni correction. These p values can be recomputed directly from the replicate rows of the named Raw_Data dataset; the declared standard is given in Note S17.

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Chemical Engineering, Materials Science, Environmental Engineering, Separation Science

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