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Tamburini E, Vincenzi F, Costa S, et al. Effects of Moisture and Particle Size on Quantitative Determination of Total Organic Carbon (TOC) in Soils Using Near-Infrared Spectroscopy. Sensors (Basel). 2017;17(10)doi: 10.3390/s17102366.
Tamburini, E., Vincenzi, F., Costa, S., Mantovi, P., Pedrini, P., & Castaldelli, G. (2017). Effects of Moisture and Particle Size on Quantitative Determination of Total Organic Carbon (TOC) in Soils Using Near-Infrared Spectroscopy. Sensors (Basel, Switzerland), 17(10), . https://doi.org/10.3390/s17102366
Tamburini, Elena, et al. "Effects of Moisture and Particle Size on Quantitative Determination of Total Organic Carbon (TOC) in Soils Using Near-Infrared Spectroscopy." Sensors (Basel, Switzerland) vol. 17,10 (2017). doi: https://doi.org/10.3390/s17102366
Tamburini E, Vincenzi F, Costa S, Mantovi P, Pedrini P, Castaldelli G. Effects of Moisture and Particle Size on Quantitative Determination of Total Organic Carbon (TOC) in Soils Using Near-Infrared Spectroscopy. Sensors (Basel). 2017 Oct 17;17(10). doi: 10.3390/s17102366. PMID: 29039810; PMCID: PMC5677457.
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Sensors (Basel). 2017 Oct 17;17(10). doi: 10.3390/s17102366.

Effects of Moisture and Particle Size on Quantitative Determination of Total Organic Carbon (TOC) in Soils Using Near-Infrared Spectroscopy.

Sensors (Basel, Switzerland)

Elena Tamburini, Fabio Vincenzi, Stefania Costa, Paolo Mantovi, Paola Pedrini, Giuseppe Castaldelli

Affiliations

  1. Department of Life Science and Biotechnology, University of Ferrara, Via L. Borsari, 46, 44121 Ferrara, Italy. [email protected].
  2. Department of Life Science and Biotechnology, University of Ferrara, Via L. Borsari, 46, 44121 Ferrara, Italy. [email protected].
  3. Department of Life Science and Biotechnology, University of Ferrara, Via L. Borsari, 46, 44121 Ferrara, Italy. [email protected].
  4. Research Centre on Animal Production, CRPA, Viale Timavo, 43/2, 42121 Reggio Emilia, Italy. [email protected].
  5. Department of Life Science and Biotechnology, University of Ferrara, Via L. Borsari, 46, 44121 Ferrara, Italy. [email protected].
  6. Department of Life Science and Biotechnology, University of Ferrara, Via L. Borsari, 46, 44121 Ferrara, Italy. [email protected].

PMID: 29039810 PMCID: PMC5677457 DOI: 10.3390/s17102366

Abstract

Near-Infrared Spectroscopy is a cost-effective and environmentally friendly technique that could represent an alternative to conventional soil analysis methods, including total organic carbon (TOC). Soil fertility and quality are usually measured by traditional methods that involve the use of hazardous and strong chemicals. The effects of physical soil characteristics, such as moisture content and particle size, on spectral signals could be of great interest in order to understand and optimize prediction capability and set up a robust and reliable calibration model, with the future perspective of being applied in the field. Spectra of 46 soil samples were collected. Soil samples were divided into three data sets: unprocessed, only dried and dried, ground and sieved, in order to evaluate the effects of moisture and particle size on spectral signals. Both separate and combined normalization methods including standard normal variate (SNV), multiplicative scatter correction (MSC) and normalization by closure (NCL), as well as smoothing using first and second derivatives (DV1 and DV2), were applied to a total of seven cases. Pretreatments for model optimization were designed and compared for each data set. The best combination of pretreatments was achieved by applying SNV and DV2 on partial least squares (PLS) modelling. There were no significant differences between the predictions using the three different data sets (

Keywords: moisture effect; near infrared spectroscopy; particle size effect; soil; spectra pretreatments; total organic carbon

Conflict of interest statement

The authors declare no conflict of interest.

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