Literature DB >> 19645266

A new method for determining the initial mobile formaldehyde concentrations, partition coefficients, and diffusion coefficients of dry building materials.

Xinke Wang1, Yinping Zhang.   

Abstract

The initial mobile formaldehyde concentration, C(m,0); the partition coefficient, K; and the diffusion coefficient, D, of a dry building material are key parameters to characterize formaldehyde emissions from the building material. The solvent extraction method and direct thermal desorption method can overestimate C(m,0) because of high temperature. A new method has been developed to determine C(m,0) under similar conditions to common indoor environment, together with K and D. In the proposed method, the tested materials are placed in an airtight environmental chamber for which the temperature can be controlled by a water bath, then the materials undergo a multisorption/emission process and the instantaneous formaldehyde concentration in the chamber is recorded. The K and C(m,0) are determined from the equilibrium concentrations after every sorption by means of the linear least-square regression, and D is obtained by fitting the concentration at the emission stage into a mass-transfer-based model in the literature. Four kinds of wooden medium-density boards are tested. The C(m,0) measured using this method is the mobile formaldehyde concentration in the material, which differs significantly from the total formaldehyde concentration in the material measured by using the traditional method recommended by the Chinese standard (GB/T 17657-1999) extraction method. This means that the mobile formaldehyde takes only a small portion of the total quantity in the tested material. The K, D, and C(m,0) values measured using this new method are used to predict formaldehyde concentrations for sorption processes. The results agree well with experimental data. In addition, some factors influencing the accuracy are analyzed.

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Year:  2009        PMID: 19645266     DOI: 10.3155/1047-3289.59.7.819

Source DB:  PubMed          Journal:  J Air Waste Manag Assoc        ISSN: 1096-2247            Impact factor:   2.235


  2 in total

1.  A numerical model predicting indoor volatile organic compound Volatile Organic Compounds emissions from multiple building materials.

Authors:  Miao Guo; Wei Yu; Sheng Zhang; Han Wang; Shen Wei
Journal:  Environ Sci Pollut Res Int       Date:  2019-12-05       Impact factor: 4.223

2.  Influence of precision of emission characteristic parameters on model prediction error of VOCs/formaldehyde from dry building material.

Authors:  Wenjuan Wei; Jianyin Xiong; Yinping Zhang
Journal:  PLoS One       Date:  2013-12-03       Impact factor: 3.240

  2 in total

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