Sedimentary humic substances in the northern Adriatic sea (Mediterranean sea)

Calace, N.; Cardellicchio, Nicola; Petronio, B.M.; Pietrantonio, M.; Pietroletti, Marco

doi:10.1016/j.marenvres.2005.05.002

Cited by 42 publications

(19 citation statements)

References 37 publications

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“…2). However, this band can also be assigned to amide and amine N-H stretching (Calace et al, 2006). Other bands around 2900 cm − 1 can be assigned to symmetric and asymmetric stretching vibrations of aliphatic C-H bands in -CH 3 and -CH 2 groups.…”

Section: Ft-ir Spectroscopymentioning

confidence: 97%

Effects of organic and inorganic amendments on soil organic matter properties

et al. 2009

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Section: Ft-ir Spectroscopymentioning

confidence: 97%

Effects of organic and inorganic amendments on soil organic matter properties

et al. 2009

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“…Because the excitation of polar bonds in molecules by IR radiation is wavenumberspecific depending on the structural and atomic composition of the molecules, it is possible to gather information about organic and minerogenic components from one single measurement. The technique has been applied to sediment to assess the concentration of silicate minerals (Sifeddine et al, 1994;Bertaux et al, 1996Bertaux et al, , 1998Wirrmann et al, 2001) and carbonates (Mecozzi et al, 2001), as well as to characterise humic substances (Braguglia et al, 1995;Belzile et al, 1997;Calace et al, 1999Calace et al, , 2006Mecozzi and Pietrantonio, 2006). FTIRS has also successfully been applied in palaeolimnological studies to quantify biogeochemical properties such as biogenic silica, total organic carbon, total inorganic carbon, and total nitrogen (Vogel et al, 2008;Rosén et al, 2010).…”

Section: Meyer-jacob Et Al: Biogeochemical Variability During Thementioning

confidence: 99%

Biogeochemical variability during the past 3.6 million years recorded by FTIR spectroscopy in the sediment record of Lake El'gygytgyn, Far East Russian Arctic

et al. 2014

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Abstract.A number of studies have shown that Fourier transform infrared spectroscopy (FTIRS) can be applied to quantitatively assess lacustrine sediment constituents. In this study, we developed calibration models based on FTIRS for the quantitative determination of biogenic silica (BSi; n = 420; gradient: 0.9-56.5 %), total organic carbon (TOC; n = 309; gradient: 0-2.9 %), and total inorganic carbon (TIC; n = 152; gradient: 0-0.4 %) in a 318 m-long sediment record with a basal age of 3.6 million years from Lake El'gygytgyn, Far East Russian Arctic. The developed partial least squares (PLS) regression models yield high cross-validated (CV) R 2 CV = 0.86-0.91 and low root mean square error of crossvalidation (RMSECV) (3.1-7.0 % of the gradient for the different properties). By applying these models to 6771 samples from the entire sediment record, we obtained detailed insight into bioproductivity variations in Lake El'gygytgyn throughout the middle to late Pliocene and Quaternary. High accumulation rates of BSi indicate a productivity maximum during the middle Pliocene (3.6-3.3 Ma), followed by gradually decreasing rates during the late Pliocene and Quaternary. The average BSi accumulation during the middle Pliocene was ∼ 3 times higher than maximum accumulation rates during the past 1.5 million years. The indicated progressive deterioration of environmental and climatic conditions in the Siberian Arctic starting at ca. 3.3 Ma is consistent with the first occurrence of glacial periods and the finally complete establishment of glacial-interglacial cycles during the Quaternary.

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“…This approach, along with similar methods based on peak area rather than height, have been used for quantitative determination of silica, carbonate, kaolinite, and other minerals in sediments derived from lake, marine, and riverine environments [42][43][44]. MIRS has also been used for more detailed investigations, such as identifying humic materials [45,46].…”

Section: Methodsmentioning

confidence: 99%

Mid-Infrared Spectroscopy as a Potential Tool for Reconstructing Lake Salinity

Cunningham

Tibby

Forrester

et al. 2016

Water

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Many aquatic ecosystems in Australia are impacted or threatened by salinisation; however, there is a paucity of records detailing the changes in salinity of individual water bodies that extend beyond a few decades. One way to overcome this issue is the use of inference models, which have typically been based on biological proxies. This pilot project investigates the potential for mid-infrared spectroscopy (MIRS) to provide an alternative method of reconstructing past salinity levels in Australian lakes. A small (19 lakes) calibration dataset was used to develop a MIRS-based lake water salinity inference model (measured vs. inferred salinity, based on leave-one-out cross-validation, R 2 = 0.64). This model and a previously published diatom-salinity model were both used to infer salinity levels in Tower Hill Lake in south-eastern Australia, over the last 60 years. Comparisons between these reconstructions and measured salinity data from Tower Hill Lake indicate that salinities inferred by the MIRS model more closely resembled the measured values than those produced using the diatom model, predominantly in terms of the actual values inferred, but also with regard to the trends observed. This supports the hypothesis that MIRS can provide a valuable new tool for reconstructing lake salinity.

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Sedimentary humic substances in the northern Adriatic sea (Mediterranean sea)

Cited by 42 publications

References 37 publications

Effects of organic and inorganic amendments on soil organic matter properties

Effects of organic and inorganic amendments on soil organic matter properties

Biogeochemical variability during the past 3.6 million years recorded by FTIR spectroscopy in the sediment record of Lake El'gygytgyn, Far East Russian Arctic

Mid-Infrared Spectroscopy as a Potential Tool for Reconstructing Lake Salinity

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