Quantification of chlorophyll-a, chlorophyll–b and pheopigments-a in lake sediments through deconvolution of bulk UV-VIS absorption spectra, links to files

DOI

Assessments of aquatic paleoproduction and pigment preservation require accurate identification and quantification of sedimentary chlorophylls. Using chromatographic techniques to analyze long records at high-resolution is impractical because they are expensive and labor intensive. We have developed a new rapid and low-cost approach to infer the concentrations of chlorophyll-a, chlorophyll-b and related chlorophyll derivatives (pheopigments-a) from the mathematical decomposition of UV-VIS measured bulk spectrophotometer absorption spectra of standards and sediment extracts. We validated our method against high-performance liquid chromatography (HPLC) measurements on standard solutions and on varved, anoxic sediment from eutrophic Lake Lugano (Ponte Tresa sub-basin, southern Switzerland), where the history of productivity is relatively well known for the 20th century. Our mathematical approach quantifies the concentration of chlorophyll-b (R_(ad_J)^2=0.99; RMSEP~5.9%), chlorophyll-a (R_(ad_J)^2=0.98; RMSEP~5.0%), and pyropheophorbide-a (R_(ad_J)^2=0.99; RMSEP~7.8%) in standard solutions. We obtain comparable results for total chloropigment-a (chlorophyll-a + pheopigments-a), chlorophyll-a and diagenetic products (pheopigments-a) in the sediment samples of our case study (Ponte Tresa). Here, concentrations of chl-b were too low. The pigment stratigraphy of the Ponte Tresa sediments correspond very well with the paleoproduction and eutrophication history of the 20th century. The ratio between chlorophyll-a and pheopigments-a used as a qualitative indicator of sedimentary chlorophyll preservation (chlorophyll-a / {chlorophyll-a + pheopigments-a}) is only weakly correlated with aquatic paleoproduction (radj= 0.35, p-value=0.045) and remained remarkably constant in the recent century despite strong anthropogenic eutrophication. The new method is useful for obtaining, in a cost- and time-efficient way, information about major sedimentary pigment groups which are relevant to infer paleoproduction, potentially green algae biomass, pigment preservation and early diagenetic effects.

Identifier
DOI https://doi.org/10.1594/PANGAEA.914868
Metadata Access https://ws.pangaea.de/oai/provider?verb=GetRecord&metadataPrefix=datacite4&identifier=oai:pangaea.de:doi:10.1594/PANGAEA.914868
Provenance
Creator Sanchini, Andrea ORCID logo
Publisher PANGAEA
Contributor University of Bern
Publication Year 2020
Funding Reference Swiss National Science Foundation https://doi.org/10.13039/501100001711 Crossref Funder ID 172586 https://data.snf.ch/grants/grant/172586 Exploring VNIR/SWIR Hyperspectral Imaging of Varved Lake Sediments: Methods and Applications in Paleoclimatology and Paleoecology
Rights Creative Commons Attribution 4.0 International; https://creativecommons.org/licenses/by/4.0/
OpenAccess true
Representation
Resource Type Dataset
Format text/tab-separated-values
Size 28 data points
Discipline Earth System Research
Spatial Coverage (8.969 LON, 45.991 LAT); Switzerland