Soil identification and chemometrics for direct determination of nitrate in soils using FTIR-ATR mid-infrared spectroscopy

Linker, Raphael; Shmulevich, I.; Kenny, Amit; Shaviv, A.

doi:10.1016/j.chemosphere.2005.03.034

Cited by 106 publications

(57 citation statements)

References 12 publications

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“…Gas measurements can be acquired using three approaches: OpenPath (using an IR source), Closed-Path (using a closed gas cell), and sun occultation (pointing directly at the sun). FTIR techniques can also identify soil composition (Linker et al 2005), soil contamination (e.g. by cyanide, Rennert et al 2007) and vegetation species and health (Ribeiro da Luz 2006).…”

Section: Field-based Fourier Transform Infrared Spectroscopymentioning

confidence: 99%

The Earth Observation Technology Cluster

Aplin

Boyd

Danson

et al. 2012

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:The Earth Observation Technology Cluster is a knowledge exchange initiative, promoting development, understanding and communication about innovative technology used in remote sensing of the terrestrial or land surface. This initiative provides an opportunity for presentation of novel developments from, and cross-fertilisation of ideas between, the many and diverse members of the terrestrial remote sensing community. The Earth Observation Technology Cluster involves a range of knowledge exchange activities, including organisation of technical events, delivery of educational materials, publication of scientific findings and development of a coherent terrestrial EO community. The initiative as a whole covers the full range of remote sensing operation, from new platform and sensor development, through image retrieval and analysis, to data applications and environmental modelling. However, certain topical and strategic themes have been selected for detailed investigation: (1) Unpiloted Aerial Vehicles, (2) Terrestrial Laser Scanning, (3) Field-Based Fourier Transform Infra-Red Spectroscopy, (4) Hypertemporal Image Analysis, and (5) Circumpolar and Cryospheric Application. This paper presents general activities and achievements of the Earth Observation Technology Cluster, and reviews state-of-the-art developments in the five specific thematic areas.

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Section: Field-based Fourier Transform Infrared Spectroscopymentioning

confidence: 99%

The Earth Observation Technology Cluster

Aplin

Boyd

Danson

et al. 2012

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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“…Although a paste type of sample enhances the signal quality by improved adhesion, there still remains the problem that some soil constituents, e.g., calcium carbonate, diminish the accuracy of calibration model because of interference with the nitrate band in the MIR range. Alternative calibration models such as partial least square regression (PLSR), principal component regression, and artificial neural network combined with waveband optimization such as wavelet analysis, stepwise regression, and principal component analysis decomposition have been devised for determination of soil nitrate, to take this interference into account (Linker, 2004;Linker et al, 2005;Jahn et al, 2006). Nevertheless, if the amount of interferences in soils is enough to hide a nitrate band, it might be difficult to identify and quantify nitrate in the FTIR spectra.…”

Section: Introductionmentioning

confidence: 99%

“…As the interest in precision agriculture (PA) and the maintenance of a safe and healthy environment increases, so does the need for direct and fast monitoring methods for nutrients in soils (Shaviv et al 2003;Linker et al 2005;Linker et al 2006). Nitrate is one of the inorganic fertilizers required for implementation of PA (Linker 2004), and there are many researches on the link between intensive agriculture and nitrate pollution (Al-Darby and Abdel-Nasser 2006).…”

Section: Introductionmentioning

confidence: 99%

An Alternate Method for Fourier Transform Infrared (FTIR) Spectroscopic Determination of Soil Nitrate Using Derivative Analysis and Sample Treatments

Choe

Meer

Rossiter³

et al. 2009

Water Air Soil Pollut

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This study aimed at examining effective sample treatments and spectral processing for an alternate method of soil nitrate determination using the attenuated total reflectance (ATR) of Fourier transform infrared (FTIR) spectroscopy. Prior to FTIR measurements, soil samples were prepared as paste to enhance adhesion between the ATR crystal and sample. The similar nitrate peak heights of soil pastes and their supernatants indicated that the nitrate in the liquid portion of the soil paste mainly responded to the FTIR signal. Using a 0.01-M CaSO 4 solution for the soil paste, which has no interference bands in the characteristic spectra of the analyte, increased the concentration of the nitrates to be measured. Secondorder derivatives were used in the prediction model to minimize the interference effects and enhance the performance. The second-order derivative spectra contained a unique nitrate peak in a range of 1,400-1,200 cm −1 without interference of carbonate. A partial least square regression model using secondorder derivative spectra performed well (R 2 =0.995, root mean square error (RMSE) = 23.5, ratio of prediction to deviation (RPD)=13.8) on laboratory samples. Prediction results were also good for a test set of agricultural field soils with a CaCO 3 concentration of 6% to 8% (R 2 =0.97, RMSE=18.6, RPD= 3.5). Application of the prediction model based on soil paste samples to nitrate stock solution resulted in an increased RMSE (62.3); however, validation measures were still satisfactory (R 2 =0.99, RPD=3.0).

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“…Since the penetration depth is limited to a few microns, very good contact between the sample and the crystal is required. For soil samples, this can be achieved by working with samples close to water saturation (Linker et al, 2004;Linker et al, 2005;Linker et al, 2006;Shaviv et al, 2003 Changwen et al (Changwen et al, Changwen et al,) recently suggested the use of photoacoustic (PAS) mid-IR spectroscopy for soil identification. Photoacoustic spectroscopy is based on absorption-induced heating of the sample, which produces pressure fluctuations in a surrounding gas.…”

Section: Introductionmentioning

confidence: 99%

“…While NIR spectra consist of non-specific overtones that are difficult to interpret, midinfrared spectra consist of specific bands that can be directly associated with soil constituents. With respect to soil analysis, most mid-infrared studies were conducted in transmittance (Haberhauer et al, 1998;Haberhauer et al, 1999;Gerzabek et al, 2006), diffuse reflectance (DRIFT) (McCarty et al, 2002;Haberhaue et al, 1999;Janik et al, 1998;Nguyen et al, 1991) and attenuated total reflectance (ATR) (Linker et al, 2004;Linker et al, 2005;Linker et al, 2006) modes. Transmittance studies revealed numerous absorbance bands that could be associated with organic as well as inorganic soil components.…”

Section: Introductionmentioning

confidence: 99%

Soil Classification Via Mid-infrared Spectroscopy

Linker

The International Federation for Information Processing

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Abstract:The need for rapid and inexpensive techniques for soil characterization has led to the investigation of modern technologies, and in particular those based on reflectance spectroscopy. While near-infrared has been traditionally used, midinfrared in the 400-4000 cm-1 range is becoming increasingly common due to the specificity of the absorbance bands in this spectral range. The present work discusses two methods based on mid-infrared spectroscopy for soil classification: attenuated total reflectance (ATR) and photoacoustic spectroscopy. The ATR method requires a soil sample close to water saturation, and as a result only the 800-1600 cm-1 interval of the spectrum yields a useful signal. Typical ATR soil spectra consist mostly of several broad bands in the 800-1200 cm-1 region and a calcium carbonate band around 1450 cm-1. By comparison, photoacoustic measurements are conducted with air-dried samples, and the photoacoustic spectra exhibit a larger number of clearly-defined bands. Both methods were tested on data sets containing over 100 samples of various soils commonly used in Israeli agriculture. Data analysis was conducted by wavelet decomposition and neural network classifiers. Very good classification performances were achieved, with correct classification rates of the validation samples typically above 95%.Fourier transforms infrared (FTIR); attenuated total reflectance (ATR); photoacoustic spectroscopy (PAS); wavelets; neural networks

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Soil identification and chemometrics for direct determination of nitrate in soils using FTIR-ATR mid-infrared spectroscopy

Cited by 106 publications

References 12 publications

The Earth Observation Technology Cluster

The Earth Observation Technology Cluster

An Alternate Method for Fourier Transform Infrared (FTIR) Spectroscopic Determination of Soil Nitrate Using Derivative Analysis and Sample Treatments

Soil Classification Via Mid-infrared Spectroscopy

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