Abstract:2008. Silicon, oxygen and carbon isotope composition of wheat (Triticum aestivum L.) phytoliths: implications for palaeoecology and archaeology.ABSTRACT: Six mature wheat (Triticum aestivum L.) plants from one crop were collected one week before harvest, and organs were separated as follows: culm, rachis, leaf sheaths, leaf blades and inflorescence bracts. Percentage silica (% SiO 2 ), % C, % N and d 13 C were determined in these samples. Phytoliths isolated from the individual organs were subsequently analyse… Show more
“…Beyond this, there is clear evidence that significant isotopic fractionation can occur between plants with increased fractionation in heavy Si accumulators (Ding et al, 2005(Ding et al, , 2008aOpfergelt et al, 2006a,b). Rayleigh fractionation during the transportation of Si within plants also causes heavier isotopes to be concentrated within the xylem whilst lighter isotopes are preferentially deposited in phytoliths lower down the plant (Ding et al, 2005(Ding et al, , 2008aOpfergelt et al, 2006a,b;Hodson et al, 2008). Phytoliths have higher dissolution rates than other silicate materials (e.g., tephra, clay, feldspars, quartz), and provide a major source of DSi in some soil/terrestrial environments (Derry et al, 2005;Struyf et al, 2009;Cornelis et al, 2010;Opfergelt et al, 2010).…”
“…Beyond this, there is clear evidence that significant isotopic fractionation can occur between plants with increased fractionation in heavy Si accumulators (Ding et al, 2005(Ding et al, , 2008aOpfergelt et al, 2006a,b). Rayleigh fractionation during the transportation of Si within plants also causes heavier isotopes to be concentrated within the xylem whilst lighter isotopes are preferentially deposited in phytoliths lower down the plant (Ding et al, 2005(Ding et al, , 2008aOpfergelt et al, 2006a,b;Hodson et al, 2008). Phytoliths have higher dissolution rates than other silicate materials (e.g., tephra, clay, feldspars, quartz), and provide a major source of DSi in some soil/terrestrial environments (Derry et al, 2005;Struyf et al, 2009;Cornelis et al, 2010;Opfergelt et al, 2010).…”
“…Furthermore while the use of heavy liquids, such as SPT, often enable the separation of diatoms from non-diatom material, in many cases the similar densities between diatoms and clays/silicates can prevent complete separation (ibid). This problem may be exacerbated in the marine environment by the presence of other siliceous organisms such as radiolarians, sponges or phytoliths, the δ 18 O of which remains poorly understood (Mopper and Garlick, 1971;Matheney and Knauth, 1989;Webb and Longstaffe, 2003;Hodson et al, 2008).…”
Measurements of diatom oxygen isotopes (δ 18Odiatom) hold the potential to provide an important additional source of palaeoceanographic information in regions depleted in carbonates. However, despite analyses of
“…Increased attention is focused on the potential for geochemical measurements of biogenic silica to be used in palaeoenvironmental research in both continental, riverine, lacustrine and marine settings (e.g., Filippelli et al, 2000;de la Rocha et al, 2000;de la Rocha, 2003de la Rocha, , 2006Derry et al, 2005;Hendry and Rickaby, 2008;Hodson et al, 2008;Opfergelt et al, 2008;Swann et al, 2010). These studies, most commonly involving the analysis of diatoms, plant phytoliths, radiolaria and siliceous sponges, are believed to be particularly important in attempts to better understand the global silicon cycle as well as high latitude environmental change in regions where carbonates are not readily preserved in the sediment record (Conley, 2002;Street-Perrott and Barker, 2008;Leng et al, 2009;Swann and Leng, 2009).…”
Abstract. The development of a rapid and non-destructive method to assess purity levels in samples of biogenic silica prior to geochemical/isotope analysis remains a key objective in improving both the quality and use of such data in environmental and palaeoclimatic research. Here a Fourier Transform Infrared Spectroscopy (FTIR) mass-balance method is demonstrated for calculating levels of contamination in cleaned sediment core diatom samples from Lake Baikal, Russia. Following the selection of end-members representative of diatoms and contaminants in the analysed samples, a mass-balance model is generated to simulate the expected FTIR spectra for a given level of contamination. By fitting the sample FTIR spectra to the modelled FTIR spectra and calculating the residual spectra, the optimum best-fit model and level of contamination is obtained. When compared to X-ray Fluorescence (XRF) the FTIR method portrays the main changes in sample contamination through the core sequence, permitting its use in instances where other, destructive, techniques are not appropriate. The ability to analyse samples of < 1 mg enables, for the first time, routine analyses of small sized samples. Discrepancies between FTIR and XRF measurements can be attributed to FTIR end-members not fully representing all contaminants and problems in using XRF to detect organic matter external to the diatom frustule. By analysing samples with both FTIR and XRF, these limitations can be eliminated to accurately identify contaminated samples. Future, routine use of these techniques in palaeoenvironmental research will therefore significantly reduce the number of erroneous measurements and so improve the accuracy of biogenic silica/diatom based climate reconstructions.
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