Application of Fourier transform mid-infrared photoacoustic spectroscopy for rapid assessment of phosphorus availability in digestates and digestate-amended soils

Huang, Jing; Glæsner, Nadia; Triolo, Jin Mi; Bekiaris, Georgios; Bruun, Sander; Liu, Fei

doi:10.1016/j.scitotenv.2022.155040

Cited by 9 publications

(8 citation statements)

References 48 publications

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“…The FTIR-PAS prediction for all other nutrients (P, Ca, Mg, Zn, Na, Fe, and Al) was also better. The prediction results were lower for NH 4 + -N, bicarbonate-extractable P, and K. Huang et al [ 29 ] also reported FTIR-PAS prediction with the same performance for plant available P in digestates. The lower prediction capability of FTIR-PAS for K could be the result of the low sensitivity of K in photoacoustic absorption [ 63 ].…”

Section: Discussionmentioning

confidence: 97%

“…These biowastes are alternatives that can be used to replace mineral fertilizers in agriculture. Bio-based materials contain essential macronutrients (N, P, K, S, Ca, and Mg), plant-available forms of nitrogen and phosphorus (Nitrate (NO 3 − -N) and NH 4 + -N, bicarbonate-extractable P) micronutrients (Na, Fe, and Zn) [ [6] , [7] , [8] ].…”

Section: Introductionmentioning

confidence: 99%

“…Bekiaris et al [ 28 ]utilized FTIR-PAS for phosphorus speciation in digestates, while Huang et al [ 29 ]applied it to determine the plant availability of phosphorus in digestate and digestate amended soil. However, to the best of our knowledge, for macronutrients and micronutrients in manure and digestates, the FTIR-PAS prediction capability is not investigated in the literature.…”

Section: Introductionmentioning

confidence: 99%

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Application of fourier transform infrared photoacoustic spectroscopy for quantification of nutrient contents and their plant availability in manure and digestate

Wali,

Khan,

Sica

et al. 2024

Heliyon

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Section: Discussionmentioning

confidence: 97%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Application of fourier transform infrared photoacoustic spectroscopy for quantification of nutrient contents and their plant availability in manure and digestate

Wali,

Khan,

Sica

et al. 2024

Heliyon

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“…Indeed, a high PK content might cause nutrient pollution, especially water (surface or ground) contamination [ 3 ], while a low level can cause a reduction in product quality [ 4 ]. It is important to note that P is not only an essential plant macronutrient but also a nonrenewable and strategic resource [ 5 ]. Agricultural production depends heavily on phosphate rock, which has been the principal source of phosphorus for the past 50 years.…”

Section: Introductionmentioning

confidence: 99%

“…However, phosphate rock reserves are limited. Therefore, a shortage of P may pose a threat to food production and security [ 5 ].…”

Section: Introductionmentioning

confidence: 99%

Chemometric Approach Based on Explainable AI for Rapid Assessment of Macronutrients in Different Organic Fertilizers Using Fusion Spectra

et al. 2023

Self Cite

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Wet chemical methods are usually employed in the analysis of macronutrients such as Potassium (K) and Phosphorus (P) and followed by traditional sensor techniques, including inductively coupled plasma optical emission spectrometry (ICP OES), flame atomic absorption spectrometry (FAAS), graphite furnace atomic absorption spectrometry (GF AAS), and inductively coupled plasma mass spectrometry (ICP-MS). Although these procedures have been established for many years, they are costly, time-consuming, and challenging to follow. This study studied the combination of laser-induced breakdown spectroscopy (LIBS) and visible and near-infrared spectroscopy (Vis-NIR) for the quick detection of PK in different varieties of organic fertilizers. Explainable AI (XAI) through Shapley additive explanation values computation (Shap values) was used to extract the valuable features of both sensors. The characteristic variables from different spectroscopic devices were combined to form the spectra fusion. Then, PK was determined using Support Vector Regression (SVR), Partial Least Squares Regression (PLSR), and Extremely Randomized Trees (Extratrees) models. The computation of the coefficient of determination (R2), root mean squared error (RMSE), and residual prediction deviation (RPD) showed that FUSION was more efficient in detecting P (R2p = 0.9946, RMSEp = 0.0649% and RPD = 13.26) and K (R2p = 0.9976, RMSEp = 0.0508% and RPD = 20.28) than single-sensor detection. The outcomes indicated that the features extracted by XAI and the data fusion of LIBS and Vis-NIR could improve the prediction of PK in different varieties of organic fertilizers.

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Visible and near infrared spectroscopy for predicting soil nitrogen mineralization rate: Effect of incubation period and ancillary soil properties

Ruma,

Munnaf,

De Neve

et al. 2024

CATENA

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Application of Fourier transform mid-infrared photoacoustic spectroscopy for rapid assessment of phosphorus availability in digestates and digestate-amended soils

Cited by 9 publications

References 48 publications

Application of fourier transform infrared photoacoustic spectroscopy for quantification of nutrient contents and their plant availability in manure and digestate

Application of fourier transform infrared photoacoustic spectroscopy for quantification of nutrient contents and their plant availability in manure and digestate

Chemometric Approach Based on Explainable AI for Rapid Assessment of Macronutrients in Different Organic Fertilizers Using Fusion Spectra

Visible and near infrared spectroscopy for predicting soil nitrogen mineralization rate: Effect of incubation period and ancillary soil properties

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