Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Advanced NMR, FT-IR, UV-VIS and XRD Methods Used for Characterization of Organo-Mineral Fertilizers Based on Biosolids

Version 1 : Received: 7 June 2024 / Approved: 10 June 2024 / Online: 11 June 2024 (09:54:44 CEST)

How to cite: Crainic, R.; Elena, N. M.; Gabriel, F.; Mihai, V.; Petru, P.; Florin, P.; Fechete, R. Advanced NMR, FT-IR, UV-VIS and XRD Methods Used for Characterization of Organo-Mineral Fertilizers Based on Biosolids. Preprints 2024, 2024060621. https://doi.org/10.20944/preprints202406.0621.v1 Crainic, R.; Elena, N. M.; Gabriel, F.; Mihai, V.; Petru, P.; Florin, P.; Fechete, R. Advanced NMR, FT-IR, UV-VIS and XRD Methods Used for Characterization of Organo-Mineral Fertilizers Based on Biosolids. Preprints 2024, 2024060621. https://doi.org/10.20944/preprints202406.0621.v1

Abstract

Biosolids from stabilized sludge presents a high fertilization potential due to its rich content of nutrients and organic matter. Three formulas of organo-mineral fertilizers based on biosolids were manufactured having at least 2 % N, 2 % P2O5, and 2 % K2O and characterized by classical and advanced methods. The content of N and P in the final formula was measured using specific reactants combined with VIS-nearIR spectroscopy. Additionally, all three formulas were characterized by advanced 1H NMR relaxometry, double-quantum and FT-IR spectroscopy. Structural characterization was performed using SEM, EDX and X-ray diffraction. Four dynamical components were identified in the T2-distribution showing that the rigid component is into a percentage larger than 90 %. In order to evaluate the release properties of organo-mineral fertilizers dynamic measurements of electric conductivity and pH were performed, by placing 0.25 g of formulas (V1, V2 and V3) in 200 ml of distillate water. It was found that V3 present the smallest release velocity, but release the largest amount of fertilizers. Two release mechanisms were also observed.

Keywords

Biosolids; organo-mineral fertilizers; 1H NMR relaxometry and double-quantum, 1H and 13C NMR, FT-IR and UV-VIS spectroscopy, PCA statistical analysis; machine learning predictions.

Subject

Environmental and Earth Sciences, Soil Science

Comments (0)

We encourage comments and feedback from a broad range of readers. See criteria for comments and our Diversity statement.

Leave a public comment
Send a private comment to the author(s)
* All users must log in before leaving a comment
Views 0
Downloads 0
Comments 0
Metrics 0


×
Alerts
Notify me about updates to this article or when a peer-reviewed version is published.
We use cookies on our website to ensure you get the best experience.
Read more about our cookies here.