Evidence map›Paper›PMID 24711354›Full record

ArticleJournal of Zhejiang University. Science. B2014

Optimization of the quenching method for metabolomics analysis of Lactobacillus bulgaricus.

Ming-ming Chen, Ai-li Li, Mao-cheng Sun, Zhen Feng, Xiang-chen Meng, Ying Wang

Open access · bronzeAbstract read
In one paragraph

Article in Journal of Zhejiang University. Science. B, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.9field-weighted citation impact, top 29% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 23 citations in OpenAlex.

  1. Bacterial Metabolomics: Sample Preparation Methods.Biochemistry research international · 2022
    Review
  2. Article
  3. The limitless applications of single-cell metabolomics.Current opinion in biotechnology · 2021
    Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Evaluation of sample extracting methods of FCSM by Lactobacillus acidophilus based on a UPLC-Q-TOF-MS global metabolomics analysis.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology]
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 1 country.

Ming-ming ChenMOE Key Laboratory of Dairy Science, College of Food Science, Northeast Agricultural University, Harbin 150030, China; School of Public Health, Jilin Medical College, Jilin 132013, China.
Ai-li Li
Mao-cheng Sun
Zhen Feng
Xiang-chen Meng
Ying Wang
Northeast Agricultural University · CNJilin Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study proposed a quenching protocol for metabolite analysis of Lactobacillus delbrueckii subsp. bulgaricus. Microbial cells were quenched with 60% methanol/water, 80% methanol/glycerol, or 80% methanol/water. The effect of the quenching process was assessed by the optical density (OD)-based method, flow cytometry, and gas chromatography-mass spectrometry (GC-MS). The principal component analysis (PCA) and orthogonal partial least squares-discriminant analysis (OPLS-DA) were employed for metabolite identification. The results indicated that quenching with 80% methanol/water solution led to less damage to the L. bulgaricus cells, characterized by the lower relative fraction of prodium iodide (PI)-labeled cells and the higher OD recovery ratio. Through GC-MS analysis, higher levels of intracellular metabolites (including focal glutamic acid, aspartic acid, alanine, and AMP) and a lower leakage rate were detected in the sample quenched with 80% methanol/water compared with the others. In conclusion, we suggested a higher concentration of cold methanol quenching for L. bulgaricus metabolomics due to its decreasing metabolite leakage.

Indexed as

FermentationFlow CytometryFood MicrobiologyGas Chromatography-Mass SpectrometryLactobacillus delbrueckiiLeast-Squares AnalysisMetabolomeMetabolomicsMethanolPrincipal Component AnalysisMethanol

Identifiers

PMID24711354
PMCPMC3989152
OpenAlexW20098790

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.