Distinguishing dissolved organic matter at its origin: size and optical properties of leaf-litter leachates

Chemosphere. 2013 Sep;92(11):1483-9. doi: 10.1016/j.chemosphere.2013.03.062. Epub 2013 May 4.

Abstract

Dissolved organic matter (DOM) was leached from eight distinct samples of leaves taken from six distinct trees (red maple, bur oak at three times of the year, two sugar maple and two white spruce trees from disparate soil types). Multiple samples were taken over 72-96h of leaching. The size and optical properties of leachates were assessed using asymmetrical flow field-flow fractionation (AF4) coupled to diode-array ultraviolet/visible absorbance and excitation-emission matrix fluorescence detectors (EEM). The fluorescence of unfractionated samples was also analyzed. EEMs were analyzed using parallel factor analysis (PARAFAC) and principal component analysis (PCA) of proportional component loadings. Both the unfractionated and AF4-fractionated leachates had distinct size and optical properties. The 95% confidence ranges for molecular weight distributions were determined as: 210-440Da for spruce, 540-920Da for sugar maple, 630-800Da for spring oak leaves, 930-950Da for senescent oak, 1490-1670 for senescent red maple, and 3430-4270Da for oak leaves that were collected from the ground after spring thaw. In most cases the fluorescence properties of leachates were different for individuals from different soil types and across seasons; however, PCA of PARAFAC loadings revealed that the observed distinctiveness was chiefly species-based. Strong correlations were found between the molecular weight distribution of both unfractionated and fractionated leachates and their principal component loadings (R(2)=0.85 and 0.95, respectively). It is concluded that results support a species-based origin for differences in optical properties.

Keywords: Asymmetrical flow field-flow fractionation (AF4); Dissolved organic carbon (DOC); Dissolved organic matter (DOM); Excitation–emission matrix (EEM); PARAFAC; Principal component analysis (PCA).

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Molecular Weight
  • Optical Phenomena*
  • Organic Chemicals / chemistry*
  • Plant Leaves / chemistry*
  • Principal Component Analysis
  • Trees / chemistry*

Substances

  • Organic Chemicals