Analytical Study of the Detection Model for Sulphate Saline Soil Based on Mid-Infrared Spectrometry DOI Creative Commons
H. Wei, Yong Huang,

Sining Li

et al.

Chemosensors, Journal Year: 2025, Volume and Issue: 13(5), P. 173 - 173

Published: May 8, 2025

High soil sulfate levels can inhibit crop growth and accelerate concrete infrastructure degradation, highlighting the critical importance of rapid accurate content determination. Nevertheless, conventional analytical techniques are laborious intricate, delays in processing may result alterations to material, owing oxidation. We recognized accuracy, reproducibility, non-invasiveness mid-infrared (MIR) spectroscopy as a straightforward technique for analysis. In this study, samples were collected from two depths (0–20 cm 20–40 cm) across three regions China: arid northwestern region, cold-temperate northeastern zone, subtropical southwestern region. One group was mixed with Na2SO4 (a readily soluble salt) at mass fractions ranging 0.1% 7%, while other FeS2 sulfide) 1% 70%. This study aimed develop spectroscopy-based method analyzing sulfide soil. Three chemometric methods evaluated: partial least squares regression (PLSR), principal component (PCR), multivariate linear (MLR). Results showed that MLR model provided superior predictive performance. For sodium sulfate-mixed exhibited best performance an Rp2 0.9535, RMSEP 0.0030, RPD 4.96, RPIQ 6.26. iron disulfide-mixed demonstrated results Rp2, RMSEP, RPD, values 0.9590, 0.042, 5.97, 10.94, respectively. 0–20 achieved 0.9848, 0.0025, 14.20, 25.48. Despite regional variations properties, successfully predicted contents soils diverse areas using combined appropriate methods. approach provides reliable technical support detection offers significant practical value assessment both agricultural production engineering construction.

Language: Английский

Analytical Study of the Detection Model for Sulphate Saline Soil Based on Mid-Infrared Spectrometry DOI Creative Commons
H. Wei, Yong Huang,

Sining Li

et al.

Chemosensors, Journal Year: 2025, Volume and Issue: 13(5), P. 173 - 173

Published: May 8, 2025

High soil sulfate levels can inhibit crop growth and accelerate concrete infrastructure degradation, highlighting the critical importance of rapid accurate content determination. Nevertheless, conventional analytical techniques are laborious intricate, delays in processing may result alterations to material, owing oxidation. We recognized accuracy, reproducibility, non-invasiveness mid-infrared (MIR) spectroscopy as a straightforward technique for analysis. In this study, samples were collected from two depths (0–20 cm 20–40 cm) across three regions China: arid northwestern region, cold-temperate northeastern zone, subtropical southwestern region. One group was mixed with Na2SO4 (a readily soluble salt) at mass fractions ranging 0.1% 7%, while other FeS2 sulfide) 1% 70%. This study aimed develop spectroscopy-based method analyzing sulfide soil. Three chemometric methods evaluated: partial least squares regression (PLSR), principal component (PCR), multivariate linear (MLR). Results showed that MLR model provided superior predictive performance. For sodium sulfate-mixed exhibited best performance an Rp2 0.9535, RMSEP 0.0030, RPD 4.96, RPIQ 6.26. iron disulfide-mixed demonstrated results Rp2, RMSEP, RPD, values 0.9590, 0.042, 5.97, 10.94, respectively. 0–20 achieved 0.9848, 0.0025, 14.20, 25.48. Despite regional variations properties, successfully predicted contents soils diverse areas using combined appropriate methods. approach provides reliable technical support detection offers significant practical value assessment both agricultural production engineering construction.

Language: Английский

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