ArticleApplied and environmental microbiology2004
High-throughput metabolic fingerprinting of legume silage fermentations via Fourier transform infrared spectroscopy and chemometrics.
Article in Applied and environmental microbiology, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
11 citing papers in PubMed.
- A Taguchi Design of Experiments Approach for Untargeted Metabolomics Sample Preparation Optimization.Journal of biomolecular techniques : JBT · 2025Article
- Current approaches on the roles of lactic acid bacteria in crop silage.Microbial biotechnology · 2023Review
- High-Throughput Metabolic Profiling of Soybean Leaves by Fourier Transform Ion Cyclotron Resonance Mass Spectrometry.Analytical chemistry · 2016Article
- Applications of Infrared and Raman Spectroscopies to Probiotic Investigation.Foods (Basel, Switzerland) · 2015Review
- Discrimination of Human Cell Lines by Infrared Spectroscopy and Mathematical Modeling.Iranian journal of pharmaceutical research : IJPR · 2015Article
- Proteomics and Metabolomics: Two Emerging Areas for Legume Improvement.Frontiers in plant science · 2015Review
- Integrating omics technologies to study pulmonary physiology and pathology at the systems level.Cellular physiology and biochemistry : international journal of experimental cellular physiology, biochemistry, and pharmacology · 2014Review
- Patterns Prediction of Chemotherapy Sensitivity in Cancer Cell lines Using FTIR Spectrum, Neural Network and Principal Components Analysis.Iranian journal of pharmaceutical research : IJPR · 2012Article
- Metabolomic profiling for identification of novel potential biomarkers in cardiovascular diseases.Journal of biomedicine & biotechnology · 2011Review
- Monitoring the effects of chiral pharmaceuticals on aquatic microorganisms by metabolic fingerprinting.Applied and environmental microbiology · 2010Article
- Mass spectrometry-based metabolomics.Mass spectrometry reviewsReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
Silage quality is typically assessed by the measurement of several individual parameters, including pH, lactic acid, acetic acid, bacterial numbers, and protein content. The objective of this study was to use a holistic metabolic fingerprinting approach, combining a high-throughput microtiter plate-based fermentation system with Fourier transform infrared (FT-IR) spectroscopy, to obtain a snapshot of the sample metabolome (typically low-molecular-weight compounds) at a given time. The aim was to study the dynamics of red clover or grass silage fermentations in response to various inoculants incorporating lactic acid bacteria (LAB). The hyperspectral multivariate datasets generated by FT-IR spectroscopy are difficult to interpret visually, so chemometrics methods were used to deconvolute the data. Two-phase principal component-discriminant function analysis allowed discrimination between herbage types and different LAB inoculants and modeling of fermentation dynamics over time. Further analysis of FT-IR spectra by the use of genetic algorithms to identify the underlying biochemical differences between treatments revealed that the amide I and amide II regions (wavenumbers of 1,550 to 1,750 cm(-1)) of the spectra were most frequently selected (reflecting changes in proteins and free amino acids) in comparisons between control and inoculant-treated fermentations. This corresponds to the known importance of rapid fermentation for the efficient conservation of forage proteins.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.