Evaluation of Untargeted Metabolomic and Mycotoxin Profiles in Corn Silage and High-Moisture Corn

Corn silage (CS) and high-moisture corn (HMC) represent fundamental ingredients in ruminant diets; however, their chemical complexity and susceptibility to mycotoxin contamination pose challenges for feed safety and quality assessment. This study applied an innovative approach combining untargeted m...

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Main Authors: Marco Lapris, Valentina Novara, Mattia Masseroni, Michela Errico, Gabriele Rocchetti, Antonio Gallo
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Toxins
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Online Access:https://www.mdpi.com/2072-6651/17/5/214
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author Marco Lapris
Valentina Novara
Mattia Masseroni
Michela Errico
Gabriele Rocchetti
Antonio Gallo
author_facet Marco Lapris
Valentina Novara
Mattia Masseroni
Michela Errico
Gabriele Rocchetti
Antonio Gallo
author_sort Marco Lapris
collection DOAJ
description Corn silage (CS) and high-moisture corn (HMC) represent fundamental ingredients in ruminant diets; however, their chemical complexity and susceptibility to mycotoxin contamination pose challenges for feed safety and quality assessment. This study applied an innovative approach combining untargeted metabolomics and mycotoxin profiling through ultra-high-performance liquid chromatography–high-resolution mass spectrometry (UHPLC-HRMS) to characterize the chemical profiles of CS (<i>n</i> = 19) and HMC (<i>n</i> = 13) samples collected from four farms in northern Italy over a period of two years. Fumonisin B1 (FB1) emerged as the most prevalent mycotoxin, with contamination levels significantly higher in HMC than CS, though all the detected levels complied with European Union (EU) guidance limits. Untargeted metabolomics distinguished CS and HMC based on their metabolic signatures: polyamines, amino acids, peptides, and phenolic acids typified CS, while HMC was primarily characterized by flavonoids and mycotoxins. Geographical origin significantly influenced both mycotoxin patterns and metabolite profiles, while the sampling season showed no significant impact. This study highlights the complementary value of metabolomics and mycotoxin screening to assess feed quality, identify biomarkers, and unravel the link between fungal contamination and biochemical composition, offering a robust strategy to support feed safety management in livestock production.
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spelling doaj-art-ca94c2186bf84e2e9bda613fa868ad6e2025-08-20T03:47:58ZengMDPI AGToxins2072-66512025-04-0117521410.3390/toxins17050214Evaluation of Untargeted Metabolomic and Mycotoxin Profiles in Corn Silage and High-Moisture CornMarco Lapris0Valentina Novara1Mattia Masseroni2Michela Errico3Gabriele Rocchetti4Antonio Gallo5Department of Animal Science, Food and Nutrition, Università Cattolica del Sacro Cuore, Via Emilia Parmense 84, 29122 Piacenza, ItalyDepartment of Animal Science, Food and Nutrition, Università Cattolica del Sacro Cuore, Via Emilia Parmense 84, 29122 Piacenza, ItalyDepartment of Animal Science, Food and Nutrition, Università Cattolica del Sacro Cuore, Via Emilia Parmense 84, 29122 Piacenza, ItalyDepartment of Animal Science, Food and Nutrition, Università Cattolica del Sacro Cuore, Via Emilia Parmense 84, 29122 Piacenza, ItalyDepartment of Animal Science, Food and Nutrition, Università Cattolica del Sacro Cuore, Via Emilia Parmense 84, 29122 Piacenza, ItalyDepartment of Animal Science, Food and Nutrition, Università Cattolica del Sacro Cuore, Via Emilia Parmense 84, 29122 Piacenza, ItalyCorn silage (CS) and high-moisture corn (HMC) represent fundamental ingredients in ruminant diets; however, their chemical complexity and susceptibility to mycotoxin contamination pose challenges for feed safety and quality assessment. This study applied an innovative approach combining untargeted metabolomics and mycotoxin profiling through ultra-high-performance liquid chromatography–high-resolution mass spectrometry (UHPLC-HRMS) to characterize the chemical profiles of CS (<i>n</i> = 19) and HMC (<i>n</i> = 13) samples collected from four farms in northern Italy over a period of two years. Fumonisin B1 (FB1) emerged as the most prevalent mycotoxin, with contamination levels significantly higher in HMC than CS, though all the detected levels complied with European Union (EU) guidance limits. Untargeted metabolomics distinguished CS and HMC based on their metabolic signatures: polyamines, amino acids, peptides, and phenolic acids typified CS, while HMC was primarily characterized by flavonoids and mycotoxins. Geographical origin significantly influenced both mycotoxin patterns and metabolite profiles, while the sampling season showed no significant impact. This study highlights the complementary value of metabolomics and mycotoxin screening to assess feed quality, identify biomarkers, and unravel the link between fungal contamination and biochemical composition, offering a robust strategy to support feed safety management in livestock production.https://www.mdpi.com/2072-6651/17/5/214UHPLC-HRMSscreeningfeed qualitypolyphenolsfungal metabolitespolyamines
spellingShingle Marco Lapris
Valentina Novara
Mattia Masseroni
Michela Errico
Gabriele Rocchetti
Antonio Gallo
Evaluation of Untargeted Metabolomic and Mycotoxin Profiles in Corn Silage and High-Moisture Corn
Toxins
UHPLC-HRMS
screening
feed quality
polyphenols
fungal metabolites
polyamines
title Evaluation of Untargeted Metabolomic and Mycotoxin Profiles in Corn Silage and High-Moisture Corn
title_full Evaluation of Untargeted Metabolomic and Mycotoxin Profiles in Corn Silage and High-Moisture Corn
title_fullStr Evaluation of Untargeted Metabolomic and Mycotoxin Profiles in Corn Silage and High-Moisture Corn
title_full_unstemmed Evaluation of Untargeted Metabolomic and Mycotoxin Profiles in Corn Silage and High-Moisture Corn
title_short Evaluation of Untargeted Metabolomic and Mycotoxin Profiles in Corn Silage and High-Moisture Corn
title_sort evaluation of untargeted metabolomic and mycotoxin profiles in corn silage and high moisture corn
topic UHPLC-HRMS
screening
feed quality
polyphenols
fungal metabolites
polyamines
url https://www.mdpi.com/2072-6651/17/5/214
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