Literature DB >> 15537928

Near- and mid-infrared diffuse reflectance spectroscopy for measuring soil metal content.

Grzegorz Siebielec1, Gregory W McCarty, Tomasz I Stuczynski, James B Reeves.   

Abstract

Rapid and nondestructive methods such as diffuse reflectance infrared spectroscopy provide potentially useful alternatives to time-consuming chemical methods of soil metal analysis. To assess the utility of near-infrared reflectance spectroscopy (NIRS) and diffuse mid-infrared reflectance spectroscopy (DRIFTS) for soil metal determination, 70 soil samples from the metal mining region of Tarnowskie Gory (Upper Silesia, Poland) were analyzed by both chemical and spectroscopic methods. Soils represented a wide range of pH (4.0-8.0), total carbon (5.1-73.2 g kg(-1)), and textural classes (from sand to silty clay loam). Soils had various contents of metals (14-4500 mg kg(-1) for Zn, 18-6530 mg kg(-1) for Pb, and 0.17-34 mg kg(-1) for Cd), ranging from natural background levels to high contents indicative of industrial contamination in the region. Soil samples were scanned at the wavelengths from 400 to 2498 nm (near-infrared region) and from 2500 to 25000 nm (mid-infrared region). Calibrations were developed using the one-out validation procedure under partial least squares (PLS) regression. Mid-infrared spectroscopy markedly outperformed NIRS. Iron, Cd, Cu, Ni, and Zn were successfully predicted using DRIFTS. The coefficients of determination (R(2)) between actual and predicted contents were 0.97, 0.94, 0.80, 0.99, and 0.96 for those metals, respectively. Only Pb content was predicted poorly. Calibrations using NIRS were less accurate. Root mean squared deviation (RMSD) values were from 1.27 (Pb) to 3.3 (Ni) times higher for NIRS than for DRIFTS. Results indicate that DRIFTS may be useful for accurate predictions of metals if samples originate from one region.

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Year:  2004        PMID: 15537928     DOI: 10.2134/jeq2004.2056

Source DB:  PubMed          Journal:  J Environ Qual        ISSN: 0047-2425            Impact factor:   2.751


  8 in total

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2.  Analysis of visible and near infrared spectral reflectance for assessing metals in soil.

Authors:  Paresh H Rathod; Ingo Müller; Freek D Van der Meer; Boudewijn de Smeth
Journal:  Environ Monit Assess       Date:  2016-09-10       Impact factor: 2.513

3.  Concentration estimation of heavy metal in soils from typical sewage irrigation area of Shandong Province, China using reflectance spectroscopy.

Authors:  Fei Wang; Chunfang Li; Jining Wang; Wentao Cao; Quanyuan Wu
Journal:  Environ Sci Pollut Res Int       Date:  2017-06-01       Impact factor: 4.223

4.  Ecological risk assessment on heavy metals in soils: Use of soil diffuse reflectance mid-infrared Fourier-transform spectroscopy.

Authors:  Cheng Wang; Wei Li; Mingxing Guo; Junfeng Ji
Journal:  Sci Rep       Date:  2017-02-13       Impact factor: 4.379

5.  Screening Risk Assessment of Agricultural Areas under a High Level of Anthropopressure Based on Chemical Indexes and VIS-NIR Spectroscopy.

Authors:  Agnieszka Klimkowicz-Pawlas; Guillaume Debaene
Journal:  Molecules       Date:  2020-07-09       Impact factor: 4.411

6.  Predicting bioavailability change of complex chemical mixtures in contaminated soils using visible and near-infrared spectroscopy and random forest regression.

Authors:  S Cipullo; S Nawar; A M Mouazen; P Campo-Moreno; F Coulon
Journal:  Sci Rep       Date:  2019-03-14       Impact factor: 4.379

7.  Reflectometers for Absolute and Relative Reflectance Measurements in the Mid-IR Region at Vacuum.

Authors:  Jinhwa Gene; Min Yong Jeon; Sun Do Lim
Journal:  Sensors (Basel)       Date:  2021-02-07       Impact factor: 3.576

8.  Rapid Determination of Low Heavy Metal Concentrations in Grassland Soils around Mining Using Vis-NIR Spectroscopy: A Case Study of Inner Mongolia, China.

Authors:  Aru Han; Xiaoling Lu; Song Qing; Yongbin Bao; Yuhai Bao; Qing Ma; Xingpeng Liu; Jiquan Zhang
Journal:  Sensors (Basel)       Date:  2021-05-06       Impact factor: 3.576

  8 in total

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