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Compiled literature dataset and analysis code for "Iron-Modified Biochar for Microplastic Removal from Agricultural Irrigation Water: A Critical Analysis of Published Data" Creators — Family name Kim, Given names Jake. Affiliation: Shanghai High School International Department, Shanghai, China.
Summary
This paper doesn't present new lab experiments, instead, it's a critical review that pulls together existing published data on using iron-treated charcoal (biochar) to filter tiny plastic particles out of water used for crop irrigation, which matters because microplastics in farm water can end up in the food we eat. The author's key finding is a cautionary one: much of the existing data has quality issues, like numbers copied from other summaries rather than original studies, and at least one measurement that was taken under conditions (with a chemical coagulant) that don't reflect how the plastic actually behaves in plain water. The takeaway for consumers is that while iron-
Supporting data for the manuscript "Iron-Modified Biochar for Microplastic Removal from Agricultural Irrigation Water: A Critical Analysis of Published Data" (J. Kim). Every value in this deposit was extracted from work published by other researchers. No experimental measurements were made. The deposit contains the compiled datasets, a record of the origin and evidence level of each value, and the code that produces the paper's four results and Figures 3-6. Contents:- data/ssa_pairs.csv - specific surface area of 7 biochars before and after iron modification- data/surface_charge.csv - points of zero charge and isoelectric points, with electrolyte recorded- data/removal_performance.csv - 12 reported removal efficiencies and 4 adsorption capacities- data/irrigation_loading.csv - water concentrations, yields and physical constants for the mass balance- data/SOURCES.md - full citation and evidence level for every value- analysis/analyse.py - runs the four analyses and writes Figures 3-6- analysis/build_review.py - builds the manuscript from those outputs- analysis/analysis_output.txt - full log including every intermediate number Reproduce with: python3 analyse.py (requires numpy, pandas, scipy, matplotlib, python-docx). Important caveats for reuse. Each value carries an evidence level. Five of the seven paired surface-area values are secondary - quoted in review articles rather than read from the original papers - and should be confirmed before being relied on. The polyethylene isoelectric point of pH 6.59 (Jang et al. 2022) was measured in polyaluminium chloride, a trivalent coagulant that reverses the sign of a negatively charged surface, and therefore does not describe polyethylene in coagulant-free water. Both points are discussed in Section 4.4 of the manuscript.