IDENTIFIKASI UNSUR TANAH LITOSOL DENGAN METODE XRF (X-RAY FLUORESCENCE) DAN FTIR (FOURIER TRANSFORM INFRA RED) BERDASARKAN TITIK ELEVASI DI DESA SAMANGKI KECAMATAN SIMBANG KABUPATEN MAROS
Keywords:
Elevation;, FTIR;, Litosol Soil;, XRF;
Abstract
XRF method to determine elemental content and FTIR test to determine the nature of chemical compounds (functional groups) of Litosol soil at the slope (elevation angle) and the distance of the research trajectory lines. The identified elemental levels are Fe, Si, Ti, K, Mn and Ca. Fe represents the highest elemental content value for each research path. Fe for paths (1-2) are 23.82 % and 37.69%, tracks (5-6) are 23.11% and 37.47%, and paths (9-10) are 40.44% and 33.99% at different elevation angles. The lowest element level is Ca. The value of Ca for each track is 0.24% and 0.66% (1-2), 0.28% and 0.30% (5-6) and 0.27% and 0.62% (9-10) for each different elevation angle. The FTIR method to determine functional groups (chemical compounds) uses the same parameters as the XRF method. The O-H functional groups were detected at wave numbers 3698.31 cm-1 and 3620.34 cm-1 with the theoretical accuracy ranges of 3700-3000 cm-1 and 3590-3650 cm-1. The C=C which is a double bond functional group was detected at wave number 1640.8 cm-1 in the theoretical range of 1610-1680 cm-1. The C-H functional group on each track was detected in three different types of wave numbers with values of 908.99 cm-1, 786.86 cm-1 and 746 cm-1, respectively. The range of wave number accuracy for C-H is 690-900 cm-1.
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Anda, M., & Dahlgren, R. A. (2020). Mineralogical and surface charge characteristics of Andosols experiencing long-term, land-use change in West Java, Indonesia. Soil Science and Plant Nutrition, 66(5), 702–713. https://doi.org/10.1080/00380768.2020.1820758
Bruckman, V. J., & Wriessnig, K. (2013). Improved soil carbonate determination by FT-IR and X-ray analysis. Environmental Chemistry Letters, 11(1), 65–70. https://doi.org/10.1007/s10311-012-0380-4
Cahyana, D., Sulaeman, Y., Anda, M., Saparina, D. O., & Subardja, D. (2021). Developing and testing soil correlation matrix to assess the spatial variation of soil resource in Indonesia. IOP Conference Series: Earth and Environmental Science, 757(1). https://doi.org/10.1088/1755-1315/757/1/012040
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Declercq, Y., Delbecque, N., De Grave, J., De Smedt, P., Finke, P., Mouazen, A. M., Nawar, S., Vandenberghe, D., Van Meirvenne, M., & Verdoodt, A. (2019). A Comprehensive Study of Three Different Portable XRF Scanners to Assess the Soil Geochemistry of An Extensive Sample Dataset. Remote Sensing, 11(21), 2490. https://doi.org/10.3390/rs11212490
Gama, D. P., Prasetya, B., & Soemarno. (2018). APPLICATION OF ORGANIC MATTER ON ENTISOL-SOIL AFFECTED SOIL MOISTURE CAPACITY AND GROWTH OF MAIZE (Zea mays L.). International Journal of Research -GRANTHAALAYAH, 6(1), 187–202. https://doi.org/10.29121/granthaalayah.v6.i1.2018.1608
Harada, M. (1957). Some characteristics of the humus in soil types (part 3) composition groups of humus. Soil Science and Plant Nutrition, 3(1), 73–79. https://doi.org/10.1080/00380768.1957.10431902
Hilger, D. M., Hamilton, J. G., & Peak, D. (2020). The influences of magnesium upon calcium phosphate mineral formation and structure as monitored by x-ray and vibrational spectroscopy. Soil Systems, 4(1), 1–13. https://doi.org/10.3390/soilsystems4010008
Jaya, R., & Rijal, A. S. (2020). Mapping of Landslide Hazard Distribution in Alo Watershed Gorontalo Regency. Jambura Geoscience Review, 2(1), 30–40. https://doi.org/10.34312/jgeosrev.v2i1.2671
Kayadoe, V. (2021). Karakterisasi Tanah Putih Dari Kabupaten Maluku Tenggara Menggunakan Xrf Dan Xrd. Molluca Journal of Chemistry Education (MJoCE), 11(1), 1–7. https://doi.org/10.30598/mjocevol11iss1pp1-7
Kitagawa, Y. (2005). Characteristics of Clay Minerals in Podzols and Podzolic Soils. Soil Science and Plant Nutrition, 51(2), 151–158. https://doi.org/10.1111/j.1747-0765.2005.tb00020.x
Margenot, A. J., Calderón, F. J., Goyne, K. W., Dmukome, F. N., & Parikh, S. J. (2016). IR spectroscopy, soil analysis applications. In Encyclopedia of Spectroscopy and Spectrometry (3rd ed., Vol. 2). Elsevier Ltd. https://doi.org/10.1016/B978-0-12-409547-2.12170-5
Namira, N., Rahmaniah, R., & Wahyuni, A. (2021). Identifikasi Unsur Penyusun Tanah Desa Babange Kabupaten Bantaeng Menggunakan Metode X-Ray Fluorescence (Xrf). Teknosains: Media Informasi Sains Dan Teknologi, 15(3), 280. https://doi.org/10.24252/teknosains.v15i3.20300
Palacio, S., Aitkenhead, M., Escudero, A., Montserrat-Martí, G., Maestro, M., & Robertson, A. H. J. (2014). Gypsophile Chemistry Unveiled: Fourier Transform Infrared (FTIR) Spectroscopy Provides New Insight into Plant Adaptations to Gypsum Soils. PLoS ONE, 9(9), e107285. https://doi.org/10.1371/journal.pone.0107285
Rahmaniah, R., Reskywijaya, R., Wahyuni, A. S., & Jayadi, H. (2020). Analisis Mineral Tanah Rawan Longsor Menggunakan X-Ray Diffraction Di Desa Sawaru Kabupaten Maros. Jambura Geoscience Review, 2(1), 41–49. https://doi.org/10.34312/jgeosrev.v2i1.2639
Rendana, M., Idris, W. M. R., Rahim, S. A., Rahman, Z. A., & Lihan, T. (2021). Characterization of physical, chemical and microstructure properties in the soft clay soil of the paddy field area. Social Psychology and Society, 12(2), 81–88. https://doi.org/10.20961/STJSSA.V18I1.50489
Suroyo, S., Suntoro, S., & Suryono, S. (2013). Intercropping and Livestock Integration System : Changes in Physical and Chemical Properties of Soil on Litosol. Sains Tanah - Journal of Soil Science and Agroclimatology, 10(1), 71. https://doi.org/10.15608/stjssa.v10i1.142
Volkov, D., Rogova, O., & Proskurnin, M. (2021). Organic Matter and Mineral Composition of Silicate Soils: FTIR Comparison Study by Photoacoustic, Diffuse Reflectance, and Attenuated Total Reflection Modalities. Agronomy, 11(9), 1879. https://doi.org/10.3390/agronomy11091879
Wang, P., Ma, Y., Wang, X., Jiang, H., Liu, H., Ran, W., & Shen, Q. (2016). Spectral exploration of calcium accumulation in organic matter in gray desert soil from northwest China. PLoS ONE, 11(1), 1–15. https://doi.org/10.1371/journal.pone.0145054
Widowati, F., & Kolambani, U. (2022). Changes in chemical properties of three soil types after application of biochars and organic fertilizers for two years. Journal of Degraded and Mining Lands Management, 9(4), 3715–3724. https://doi.org/10.15243/jdmlm.2022.094.3715
Yatno, E., Sudarsono, S., Iskandar, I., & Mulyanto, B. (2016). Characteristics of soils developed from alluvium and their potential for cocoa plant development in East Kolaka Regency, Southeast Sulawesi. Journal of Degraded and Mining Lands Management, 3(3), 595–601. https://doi.org/10.15243/jdmlm.2016.033.595
Yoshino, K., Zou, T., Nyamsambuu, K., Pham, T. D., & Okabe, H. (2015). Spatial dependency of soil line coefficients derived from Landsat ETM+ and MODIS imagery in Kyrgyzstan. ACRS 2015 - 36th Asian Conference on Remote Sensing: Fostering Resilient Growth in Asia, Proceedings, September.
Published
2023-06-30
How to Cite
Jumardin, J., Rizal, A., Minarti, M., Thariq, A., Turayni, N., & Wahyullah, W. (2023). IDENTIFIKASI UNSUR TANAH LITOSOL DENGAN METODE XRF (X-RAY FLUORESCENCE) DAN FTIR (FOURIER TRANSFORM INFRA RED) BERDASARKAN TITIK ELEVASI DI DESA SAMANGKI KECAMATAN SIMBANG KABUPATEN MAROS. Karst: Jurnal Pendidikan Fisika Dan Terapannya, 6(1), 33-41. https://doi.org/10.46918/karst.v6i1.1733
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Copyright (c) 2023 jumardin jumardin, Andi Syam Rizal, Minarti Minarti, Abdul Munim Thariq, Nurhafida Turayni, Wahyullah Wahyullah
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