Articles online

Assessment of Adsorptive Filter for Removal of Formaldehyde from Indoor Air

Category: Air Pollution and Health Effects

Volume: 18 | Issue: 12 | Pages: 3147-3164
DOI: 10.4209/aaqr.2018.02.0064

Export Citation:  RIS | BibTeX

To cite this article:
Shiue, A., Hu, S.C., Tseng, C.H., Chuang, C.M. and Leggett, G. (2018). Assessment of Adsorptive Filter for Removal of Formaldehyde from Indoor Air. Aerosol Air Qual. Res. 18: 3147-3164. doi: 10.4209/aaqr.2018.02.0064.

Angus Shiue1, Shih-Cheng Hu1, Chao-Heng Tseng 2, Cheng-Mao Chuang2, Graham Leggett3

  • 1 Department of Energy and Refrigerating Air-Conditioning Engineering, National Taipei University of Technology, Taipei 10608, Taiwan
  • 2 Institute of Environment Engineering and Management, National Taipei University of Technology, Taipei 10608, Taiwan
  • 3 MIRICO Ltd., OX11 0QX, United Kingdom


Investigated the formaldehyde adsorption process on activated carbon filter media.
Discussed pseudo-first- & second-order, and intra-particle diffusion kinetic model.
Verified the best prediction accuracy to pseudo-second-order kinetic model.


We varied face velocities and initial formaldehyde concentrations to investigate the formaldehyde removal performance of coconut shell activated carbon (AC) adsorptive filter media. AC surface were rather uneven, with coarse and small pores, and with amorphously formed irregular layer structures. C, O, Mg, P etc. were detected, which showed the existence of MgO in AC. The AC surface area was 1333.3304 m2 g–1, and ketone -C=O bonds were successfully grafted onto the carbon. At any given face velocity, the experimental results indicate that the adsorption capacity increased and the breakthrough time decreased as the initial concentration increased. The breakthrough behavior of the AC adsorptive filter could henceforth be evaluated with confidence using the breakthrough curves predicted by the Yoon-Nelson model. Of the three kinetic models that were assessed, the experimental and calculated results show that the correlation coefficient and mean absolute performance error (MAPE) of the pseudo-second-order model generated the best approximation of the kinetic dynamics of the adsorption process—better than those of the pseudo-first-order model and intraparticle diffusion model. Both the intraparticle diffusion model and the membrane diffusion affected the overall rate of the adsorption process by more than one step. The equilibrium data of the AC adsorptive filter media was found to best fit the Langmuir model. The D-R equation predicted the equilibrium capacity of AC at a relative pressure of 0.151.


Adsorption Breakthrough Kinetic model Formaldehyde

Related Article