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  • 1
    Publication Date: 2011-04-01
    Description: Haematite pseudomicrofossils present in the 3.5-billion-year-old Apex Chert Nature Geoscience 4, 240 (2011). doi:10.1038/ngeo1084 Authors: Craig P. Marshall, Julienne R. Emry & Alison Olcott Marshall Microstructures in the ∼3.5 Gyr Apex Chert Formation were initially described as the oldest bacterial fossils on Earth over 20 years ago. However, the identification of the structures (which resemble cyanobacteria) as biological in origin remains controversial. Here we determine the petrology and geochemistry of similar structures from the original Apex Chert locality using thin sections and Raman spectroscopy. Based on the microscopic examination of thin sections, we identify features similar to those previously identified as microfossils as a series of quartz and haematite-filled fractures. Raman spectroscopy of the fractures shows that carbonaceous material is not, as previously reported, associated with the structures, but is instead disseminated in the surrounding quartz matrix. We suggest that although the microstuctures analysed are not microfossils, the presence of carbonaceous material in the surrounding matrix is consistent with the existence of microbial life at this time, and with evidence of early Archaean life found at other sites. Furthermore, we caution against identifying microstructures as biological in origin without a full morphological and geochemical assessment.
    Print ISSN: 1752-0894
    Electronic ISSN: 1752-0908
    Topics: Geosciences
    Published by Springer Nature
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  • 2
    Publication Date: 2015-04-04
    Description: Raman hyperspectral imaging is becoming a popular technique to analyse geological materials. Autofluorescence can affect the quality of the spectra that comprise hyperspectral datasets. Few studies have addressed potential misinterpretation of Raman images from hyperspectral datasets affected by autofluorescence. Additionally, little work has been done to develop methods for identifying the spatial distribution of spectra affected by autofluorescence. This study illustrates how autofluorescence may lead to misinterpretation of the distribution of materials based on intensity at a point images. A method is proposed utilising signal to axis analysis to create images that identify regions affected by autofluorescence. Post-processing baseline correction is often used to address autofluorescence, and most software programs utilise a form of Partial Least Squares regression modelling based on a subjective choice of polynomial order. This study shows that an inappropriate choice of polynomial order can introduce error, which may lead to misinterpretation of Raman images. A signal to axis analysis method is proposed to statistically compare seemingly “appropriate” baseline correction trials. Although post-processing of hyperspectral datasets and creating Raman images seems simple, data quality issues such as autofluorescence must be considered. If baseline correction is deemed necessary it should be addressed as an experiment involving statistical comparison. This article is protected by copyright. All rights reserved.
    Print ISSN: 1639-4488
    Electronic ISSN: 1751-908X
    Topics: Geosciences
    Published by Wiley
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