Valorization of Crab Shells as Potential Sorbent Materials for CO2 Capture


This study delves into the potential advantage of utilizing crab shells as sustainable solid adsorbents for CO2 capture, offering an environmentally friendly alternative to conventional porous adsorbents, such as zeolites, silicas, metal–organic frameworks (MOFs), and porous carbons. The investigation focuses on crab shell waste, which exhibits inherent natural porosity and N-bearing groups, making them promising candidates for CO2 physisorption and chemisorption applications. Selective deproteinization and demineralization treatments were used to enhance textural properties while preserving the natural porous structure of the crab shells. The impact of deproteinization and demineralization treatments on CO2 adsorption and speciation at the atomic scale, via solid-state NMR, and correlated findings with textural properties and biomass composition were investigated. The best-performing sample exhibits a surface area of 36 m2/g and a CO2 adsorption capacity of 0.31 mmol/g at 1 bar and 298 K, representing gains of ∼3.5 and 2, respectively, compared to the pristine crab shell. These results underline the potential of fishing industry wastes as a cost-effective, renewable, and eco-friendly source to produce functional porous adsorbents.


Daniel Pereira, Marina Ilkaeva, Francisco Vicente, Ricardo Vieira, Mariana Sardo, Mirtha A. O. Lourenço*, Armando Silvestre, Ildefonso Marin-Montesinos*, and Luís Mafra*

our authors


This work was developed within the scope of project CICECO-Aveiro Institute of Materials, UIDB/50011/2020, (DOI: 10.54499/UIDB/50011/2020), UIDP/50011/2020 (DOI: 10.54499/UIDP/50011/2020) & LA/P/0006/2020 (DOI: 10.54499/ LA/P/0006/2020), financed by national funds through the FCT/MEC (PIDDAC). We also acknowledge funding from project PTDC/QUI-QFI/28747/2017 (GAS2MAT-DNPSENS-POCI-01-0145-FEDER-028), financed through FCT/MEC and co-financed by FEDER under the PT2020 Partnership Agreement. The NMR spectrometers are part of the National NMR Network (PTNMR) and are partially supported by Infrastructure Project 022161 (co-financed by FEDER through COMPETE 2020, POCI and PORL and FCT through PIDDAC). This work has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation program (Grant Agreement 865974). FCT is also acknowledged by D.P. for a Ph.D. Studentship (UI/BD/151048/2021), M.I., R.V., M.A.O.L., and M.S. for Researcher positions (CEECIND/00546/2018, CEECIND/02127/2017, CEECIND/01158/2021 (DOI: 10.54499/2021.01158.CEECIND/CP1659/CT0022) and CEECIND/00056/2020 respectively (DOI 10.54499/2020.00056.CEECIND/CP1589/CT0005)). M.I. acknowledges Spanish Ministry of Science, Innovation, and Universities for the “Beatriz Galindo” Scholarship (MU-23-BG22/00145). M.A.O.L further acknowledges the funding from the European Union’s Horizon 2020 research and innovation program (PF Grant Agreement 101090287).

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