Metabolomics FAQ
-
Calculation of Polysaccharide Molecular Weight 1. Gel Permeation Chromatography (GPC) or High-Performance Liquid Chromatography (HPLC) These are common methods for determining the molecular weight of polysaccharides. The molecular weight is calculated by comparing the sample to standards of known molecular weight, using the sample's retention volume in the chromatographic column. 2. Light Scattering Method This method utilizes the scattering of laser light by proteins or polysaccharides in solution......
-
Untargeted metabolomics typically requires secondary identification, as primary mass spectrometry data (such as m/z ratios) usually only provide information on the ion's mass-to-charge ratio and potential molecular formulas, but cannot accurately determine the compound's structure. Secondary identification, through tandem mass spectrometry analysis, provides additional structural information about metabolites, which helps ensure the accuracy of compound identification. However, in certain cases, res......
-
• How Much Internal Standard Should Be Added in Targeted Metabolomics?
The amount of internal standard added in targeted metabolomics analysis depends on several factors, including sample type, analytical method, instrument sensitivity, and the concentration range of the target metabolites. Below are some general guidelines: Selection of the Appropriate Internal Standard 1. Isotopically Labeled Internal Standards These are internal standards labeled with isotopes that have a similar structure to the target metabolites but differ in mass. 2. Structurally Similar Inter......
-
• How to Address Compaction and Slowing Flow Rate During Gel Filtration Column Equilibration?
Compaction of the packing material and a reduction in flow rate are common issues during gel filtration chromatography. These problems can be caused by various factors, and addressing them requires targeted solutions: Improper Packing Process The packing process of the chromatography column requires careful attention. If not done correctly, it may lead to tightly compacted packing material, reducing the available flow space within the column and, consequently, slowing down the flow rate. Solution ......
-
• What Do the Percentages on the X and Y Axes of a PLAS-DA Score Plot Represent?
The percentages on the X and Y axes of a PLAS-DA score plot typically represent the proportion of total variance explained by the corresponding components (principal components). For example, if the percentage on the X-axis is 30%, it indicates that the first principal component explains 30% of the total variance. MtoZ Biolabs, an integrated chromatography and mass spectrometry (MS) services provider. Related Services PLS-DA/OPLS-DA Two-Dimensional Diagrams Analysis Service
-
When performing dialysis purification of bacterial polysaccharides, the molecular weight cut-off (MWCO) of the dialysis bag should be smaller than the polysaccharide’s molecular weight. It is generally recommended to select a MWCO that is one-third to one-half of the polysaccharide's molecular weight. For instance, if the molecular weight of the bacterial polysaccharide is approximately 300,000 Da, the MWCO of the dialysis bag should be between 100,000 and 150,000 Da. This ensures that small molecular......
-
• Identification Methods of Sugars in Glycosides
Glycosides are compounds consisting of a sugar moiety and a non-carbohydrate moiety (commonly an aromatic or aliphatic compound). Identifying the sugar component is a critical step in elucidating the structure and function of glycosides. The following methods are commonly employed for the identification of sugars in glycosides: 1. Chromatographic Methods High-performance liquid chromatography (HPLC) and gas chromatography (GC) are frequently used techniques. These methods enable the separation and ........
-
• What Is Metabolomics, How Does It Differ From Proteomics, and What’s Its Future Outlook
Metabolomics is a discipline that studies the spectrum of metabolites in organisms under specific physiological or pathological conditions. Metabolites are small molecules involved in metabolic pathways, including various amino acids, nucleic acids, carbohydrates, and fatty acids. They are direct products of cellular activities, thus providing us with detailed information about the physiological and functional state of cells. By analyzing the types and quantities of metabolites within organisms, metab......
-
• How to Screen Differential Metabolites for Experimental Validation in Untargeted Metabolomics
To screen differential metabolites in non-targeted metabolomics, the following methods can be employed: 1. Statistical Analysis: (1) t-test or ANOVA: Used for comparisons between two groups or among multiple groups, respectively. (2) Multivariate Analysis: Techniques such as Principal Component Analysis (PCA) or Partial Least Squares Discriminant Analysis (PLS-DA) can be used to identify key metabolites that differentiate between groups. 2. Setting Thresholds: (1) Based on the effect size of the exper......
-
• Can OPLS-DA Be Used If R² Is 0.93 but the Permutation Test Slope Is Negative
In OPLS-DA, the R² value quantifies the proportion of variance in the data that is explained by the model. An R² value of 0.93 indicates that the model accounts for 93% of the data variability, which is generally considered high and suggests strong explanatory power. During a permutation test, a plot is typically used to illustrate the relationship between model performance metrics (such as R² or Q²) and the permutation order. In this context, a negative slope may suggest that as the permutations increase..
How to order?
