Dataset on moisture-based hydrothermal carbonization control, adsorption behaviour and surface characteristics of marine-based hydrochars for pollution removal

Results are provided for activated carbon, corn hydrochar, fish hydrochar, and shrimp hydrochar. These data allow verification of BET calculations, assessment of textural differences among feedstocks (protein‑ and chitin‑rich marine residues vs lignocellulosic corn), and evaluation of how HTC processing translates into accessible surface and porosity. The third component provides adsorption kinetics for seven representative contaminants—tetracycline, doxycycline hyclate, acetaminophen, methylene blue, methyl orange, 4‑nitrophenol, and potassium dichromate—measured on all four adsorbents.

Time‑course uptake data are supplied alongside fitted parameters for pseudo‑first‑order, pseudo‑second‑order, and Two‑PFO models, with goodness‑of‑fit metrics. Outcomes are reported both as qe (mg g⁻¹) and as surface‑area‑normalized qe,mol (nmol m⁻²), facilitating comparison across materials with disparate surface areas and enabling mechanistic interpretation beyond mass‑based capacities. Collectively, the dataset links feedstock composition, moisture behavior, and textural properties to adsorption kinetics across multiple pollutant classes.

It is suitable for (i) reproducing and validating kinetic fits; (ii) benchmarking hydrochars against activated carbon; (iii) developing predictive relationships between material descriptors and adsorption efficiency; and (iv) use in meta‑analysis or machine‑learning workflows that require harmonized physicochemical inputs and adsorption outputs.