# Data Fusion Combining High-Resolution Mass Spectrometry and 1H-NMR Metabolomic Data with Gluten Protein Content to Assess the Impact of Agro-Sustainable Treatments on Durum Wheat

**Authors:** Nicolò Riboni, Enmanuel Cruz Muñoz, Christina Muhs, Monica Mattarozzi, Marina Caldara, Sara Graziano, Christian Richter, Harald Schwalbe, Nelson Marmiroli, Davide Ballabio, Mariolina Gullì, Maria Careri, Federica Bianchi

PMC · DOI: 10.3390/molecules31060922 · Molecules · 2026-03-10

## TL;DR

This study uses advanced metabolomic techniques to assess how sustainable farming treatments affect durum wheat quality.

## Contribution

A novel integration of UHPLC-IMS-HRMS and 1H-NMR data with gluten content to evaluate agro-sustainable treatments on wheat.

## Key findings

- Char+PGPM treatment altered metabolite profiles, enriching flavonoids and lipids.
- Combined treatments downregulated carbohydrate metabolites, suggesting carbon redistribution.
- Integrated data fusion models showed excellent classification performance for treatment effects.

## Abstract

Sustainable food production systems based on the use of biofertilizers and soil improvers are proposed to mitigate agricultural-related environmental impacts and address the climate crisis. In particular, plant growth-promoting microbes (PGPM) and biochar (Char) have been reported to improve plant growth, soil quality, and crop yield; however, their effects on food quality remain debated. In this study, untargeted metabolomics based on ultra-high performance liquid chromatography–ion mobility–high-resolution mass spectrometry (UHPLC-IMS-HRMS) and proton nuclear magnetic resonance spectroscopy (1H-NMR) are proposed to achieve a comprehensive investigation of the effects of Char, PGPM and Char+PGPM on durum wheat. A total of 88 metabolites were annotated by UHPLC-IMS-HRMS, mainly belonging to carbohydrates, flavones, flavonoids, glycerophospholipids, and glycolipids, while 30 compounds were annotated by 1H-NMR, mostly amino acids and short-chain carboxylic acids. The two datasets were merged with the gluten protein content dataset by using low- and mid-level data fusion approaches, obtaining models that exhibit excellent classification performance. Integrated analysis highlighted that the combined Char+PGPM treatment induced metabolic changes across multiple chemical classes, including enrichment of flavonoids and lipids, and downregulation of carbohydrate metabolites, suggesting a redistribution of carbon resources and modulation of secondary metabolism with potential implications on wheat grain quality.

## Linked entities

- **Chemicals:** glycolipids (PubChem CID 44176376)

## Full-text entities

- **Chemicals:** flavones (MESH:D047309), carbohydrate (MESH:D002241), flavonoids (MESH:D005419), lipids (MESH:D008055), glycerophospholipids (MESH:D020404), 1H (-), glycolipids (MESH:D006017), carboxylic acids (MESH:D002264), amino acids (MESH:D000596), carbon (MESH:D002244), biochar (MESH:C540010)
- **Species:** Triticum turgidum subsp. durum (durum wheat, subspecies) [taxon 4567]

## Full text

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## Figures

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## References

65 references — full list in the complete paper: https://tomesphere.com/paper/PMC13029761/full.md

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Source: https://tomesphere.com/paper/PMC13029761