Jumardin Jumardin, Andi Syam Rizal, Minarti Minarti, Abdul Munim Thariq, Nurhafida Turayni, Wahyullah Wahyullah

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

Introduction

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. Identifikasi unsur tanah Litosol di Samangki, Maros, menggunakan metode XRF & FTIR. Analisis kadar Fe, Ca, Si, Ti, K, Mn serta gugus fungsi O-H, C=C, C-H berdasarkan elevasi.

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.

Review

This study presents a characterization of Litosol soil from Desa Samangki, Maros, employing X-ray Fluorescence (XRF) and Fourier Transform Infrared (FTIR) spectroscopy. The primary objective was to identify the elemental composition and chemical functional groups of the soil, with a stated focus on varying elevation points. The combined use of XRF for elemental analysis and FTIR for molecular functional groups offers a comprehensive approach to understanding soil properties, providing a robust descriptive dataset of the Litosol soil in the investigated area. The abstract effectively highlights the key findings from both analytical methods. XRF analysis successfully identified major elements such as Fe, Si, Ti, K, Mn, and Ca. Notably, Fe was consistently found to be the highest elemental content across all sampled "tracks" or "paths," with specific percentage ranges provided (e.g., 23.82% to 40.44%), indicating its significant presence in the Litosol soil. Conversely, Ca was identified as the lowest element, with values typically below 1%. FTIR analysis revealed the presence of important functional groups, including O-H (indicative of water or hydroxyl-containing minerals), C=C (suggesting organic unsaturation), and C-H (indicating aliphatic organic compounds), with their respective characteristic wavenumbers and theoretical accuracy ranges accurately reported. While the study provides valuable analytical data, the abstract could benefit from a more explicit discussion of the relationship between the observed soil characteristics and the "titik elevasi" (elevation points) emphasized in the title. Although data is presented for different "paths" and "elevation angles," the abstract does not elaborate on any trends, correlations, or significant variations in elemental or functional group content as a function of elevation. Furthermore, a deeper interpretation of the *implications* of these findings—such as why Fe is so dominant, or what the identified functional groups suggest about the soil's genesis, mineralogy, or fertility—would significantly enhance the abstract's contribution. Clarification on the exact sampling strategy for "tracks" or "paths" would also aid in understanding the spatial context of the results.

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