Heavy Mineral Identification and Quantification Using Fourier Transform Infrared Spectroscopy

被引:0
|
作者
Azzam, Fares [1 ]
Blaise, Thomas [1 ]
Barbarand, Jocelyn [1 ]
Cassagne, Helene [1 ]
Nouet, Julius [1 ]
机构
[1] Univ Paris Saclay, CNRS, GEOPS, F-91405 Orsay, France
关键词
Heavy minerals; Fourier transform infrared microspectroscopy; FT-IR; sediment provenance; low-temperature thermochronology; PROVENANCE; SPECTRA;
D O I
10.1177/00037028251322197
中图分类号
TH7 [仪器、仪表];
学科分类号
0804 ; 080401 ; 081102 ;
摘要
We evaluated the application of Fourier transform infrared (FT-IR) microspectroscopy in the mid-IR region (1500-550 cm-1) in reflectance mode as a semi-automated tool to quantify common heavy minerals (HM) found in natural sediments and sedimentary rocks. An in-house database of IR spectra for the main HM was acquired. Then, automated HM identification using FT-IR spectroscopy was tested on synthetic mixtures with known HM proportions. HM fractionation during sampling and mounting in epoxy is evaluated by testing several sample preparations techniques. Overall, HM are properly determined using FT-IR microspectroscopy. Most of the HM are found in proportions comparable to those documented in the synthetic mixtures. Main drawbacks to this method include: (i) the mid-IR region does not give access to the absorption bands of some HM, such as fluorite, pyrite, and cassiterite, compared to other methods such as Raman microspectroscopy, (ii) the failure to discriminate titanium dioxide (TiO2) polymorphs, and (iii) large spectral variations in some mineral groups such as amphiboles. Beyond these limitations, mid-FT-IR microspectroscopy in reflectance mode can be used to accurately determine HM proportions and could be simpler, faster, and/or cheaper when compared to other methods such as optical microscopy or scanning electron microscopy.
引用
收藏
页数:13
相关论文
共 50 条
  • [1] Carbonate mineral identification and quantification in sediment matrices using diffuse reflectance infrared Fourier transform spectroscopy
    Rachel T. So
    Neal E. Blair
    Andrew L. Masterson
    Environmental Chemistry Letters, 2020, 18 : 1725 - 1730
  • [2] Carbonate mineral identification and quantification in sediment matrices using diffuse reflectance infrared Fourier transform spectroscopy
    So, Rachel T.
    Blair, Neal E.
    Masterson, Andrew L.
    ENVIRONMENTAL CHEMISTRY LETTERS, 2020, 18 (05) : 1725 - 1730
  • [3] Identification and discrimination of bacteria using Fourier transform infrared spectroscopy
    Maity, Jyoti Prakash
    Kar, Sandeep
    Lin, Chao-Ming
    Chen, Chen-Yen
    Chang, Young-Fo
    Jean, Jiin-Shuh
    Kulp, Thomas R.
    SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY, 2013, 116 : 478 - 484
  • [4] Identification of species of Brucella using fourier transform infrared spectroscopy
    Gómez, MAM
    Pérez, MAB
    Gil, FJM
    Díez, AD
    Rodríguez, JFM
    Rodríguez, PG
    Domingo, AO
    Torres, AR
    JOURNAL OF MICROBIOLOGICAL METHODS, 2003, 55 (01) : 121 - 131
  • [5] Identification and quantification of microplastics in omega-3 products using micro Fourier transform infrared spectroscopy
    Choi, Jong Hyun
    Kang, Hui-Seung
    Kim, Kyung Wook
    Kwon, Jun Hyeok
    Yu, Yeon Cheol
    Lee, Hyoyoung
    Kim, Hyejeong
    Kim, Hyungsoo
    Baik, Moo-Yeol
    Chang, Moonik
    FOOD CONTROL, 2025, 167
  • [6] Identification and quantification of single constituents in groundwater with Fourier-transform infrared spectroscopy and Positive Matrix Factorization
    Fritzsche, Andreas
    Ritschel, Thomas
    Schneider, Louis
    Totsche, Kai U.
    VIBRATIONAL SPECTROSCOPY, 2019, 100 : 152 - 158
  • [7] Detection and Quantification of Patulin in Apple Juice Using Fourier Transform Infrared Spectroscopy
    Jha, Shyam Narayan
    Jaiswal, Pranita
    Kumari, Leena
    Kaur, Jaspreet
    Ramya, H. G.
    Lawnia, S.
    AGRICULTURAL RESEARCH, 2021, 10 (02) : 314 - 323
  • [8] Quantification of DNA in simple eukaryotic cells using Fourier transform infrared spectroscopy
    Wood, B.R. (bayden.wood@monash.edu), 1600, Wiley-VCH Verlag (06): : 775 - 784
  • [9] Detection and Quantification of Patulin in Apple Juice Using Fourier Transform Infrared Spectroscopy
    Shyam Narayan Jha
    Pranita Jaiswal
    Leena Kumari
    Jaspreet Kaur
    H. G. Ramya
    S. Lawnia
    Agricultural Research, 2021, 10 : 314 - 323
  • [10] Adulteration identification in raw milk using Fourier transform infrared spectroscopy
    Tatiane Barbosa Coitinho
    Laerte Dagher Cassoli
    Pedro Henrique Ramos Cerqueira
    Helen Krystine da Silva
    Juliana Barbosa Coitinho
    Paulo Fernando Machado
    Journal of Food Science and Technology, 2017, 54 : 2394 - 2402