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Related Concept Videos

Classification of Titrimetric Analysis Based on Reaction Types01:01

Classification of Titrimetric Analysis Based on Reaction Types

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Titrimetric analysis in solution chemistry involves measuring the volume of solutions and is often called volumetric analysis. The standard solution of known concentration in the burette is called the titrant, whereas the solution of unknown concentration in the flask is called the analyte, or titrand. Titrimetric analyses can be classified into four types based on the reactions between the titrant and analyte.
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Crossed Aldol Reaction Using Strong Bases: Directed Aldol Reaction00:56

Crossed Aldol Reaction Using Strong Bases: Directed Aldol Reaction

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The reaction between two different carbonyl compounds comprising α hydrogen in the presence of a strong base like lithium diisopropylamide (LDA) to form a crossed aldol product is known as a directed aldol reaction. The directed aldol reaction is depicted in Figure 1.
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Qualitative Analysis03:46

Qualitative Analysis

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For solutions containing mixtures of different cations, the identity of each cation can be determined by qualitative analysis. This technique involves a series of selective precipitations with different chemical reagents, each reaction producing a characteristic precipitate for a specific group of cations. Metal ions within a group are further separated by varying the pH, heating the mixture to redissolve a precipitate, or adding other reagents to form complex ions.
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Acids, Bases and Neutralization Reactions03:26

Acids, Bases and Neutralization Reactions

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An acid-base reaction is one in which a hydrogen ion, H+, is transferred from one chemical species to another. Such reactions are of central importance to numerous natural and technological processes, ranging from the chemical transformations within cells or lakes and oceans to the industrial-scale production of fertilizers, pharmaceuticals, and other substances essential to the society.
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Acids, Bases and Neutralization Reactions01:27

Acids, Bases and Neutralization Reactions

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Acids and bases play several important roles in biology. The pH of a biological system can significantly impact the function of biological molecules, including enzymes, proteins, and nucleic acids. For example, enzymes have optimal pH ranges for their activity, and changes in pH can denature or alter their structure, affecting their function. Acids and bases also play a crucial role in cellular signaling and communication. The pH of the extracellular fluid around cells can influence the...
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Dimensional Analysis03:40

Dimensional Analysis

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Dimensional analysis, also known as the factor label method, is a versatile approach for mathematical operations. The main principle behind this approach is: the units of quantities must be subjected to the same mathematical operations as their associated numbers. This method can be applied to computations ranging from simple unit conversions to more complex and multi-step calculations involving several different quantities and their units.
Conversion Factors and Dimensional Analysis
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Untargeted Liquid Chromatography-Mass Spectrometry-Based Metabolomics Analysis of Wheat Grain
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Structure/reaction directed analysis for LC-MS based untargeted analysis.

Miao Yu1, Mariola Olkowicz1, Janusz Pawliszyn1

  • 1Department of Chemistry, University of Waterloo, 200 University Avenue West, Waterloo, Ontario, N2L 3G1, Canada.

Analytica Chimica Acta
|January 22, 2019
PubMed
Summary
This summary is machine-generated.

A new algorithm, GlobalStd, identifies independent peaks from liquid chromatography-mass spectrometry (LC-MS) data, simplifying complex analyses. This method aids in understanding biochemical processes and identifying unknown biological pathways in metabolomics.

Keywords:
AlgorithmIn vivoLC-MSMetabolomicsSPME

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Area of Science:

  • Analytical Chemistry
  • Biochemistry
  • Computational Biology

Background:

  • Untargeted liquid chromatography-mass spectrometry (LC-MS) generates complex data with redundant peaks (adducts, isotopes, fragments) obscuring biochemical insights.
  • Bridging the gap between raw peak data and biologically relevant compounds/reactions requires robust peak deconvolution and evaluation methods.
  • Current statistical analyses are often hindered by the sheer volume and redundancy of ion-level data in LC-MS.

Purpose of the Study:

  • To develop and validate a novel algorithm, GlobalStd, for extracting independent peaks from raw LC-MS data.
  • To enable structure/reaction directed analysis for evaluating compounds and biochemical processes at a higher level.
  • To demonstrate the utility of the algorithm in identifying biological pathways and aiding metabolomics data interpretation.

Main Methods:

  • Development of the GlobalStd algorithm utilizing paired mass distances (PMD) and retention time hierarchical cluster analysis.
  • Application of GlobalStd to extract independent peaks from LC-MS data obtained via in vivo solid-phase microextraction (SPME) sampling on fish.
  • Structure/reaction directed analysis based on PMD relationships for evaluating identified compounds and potential biochemical pathways.

Main Results:

  • The GlobalStd algorithm successfully extracted 277 independent peaks, representing the majority of variance in 1459 detected ions.
  • Analysis revealed known homologous series and biological reactions, alongside potential unknown bio-processes like oxidation/reduction.
  • The method identified a potential biosynthesis pathway involving l-Carnitine and its precursor, 4-Trimethylammoniobutanoic acid.

Conclusions:

  • GlobalStd effectively deconvolutes complex LC-MS data, providing a foundation for higher-level biochemical analysis.
  • The approach facilitates the discovery of novel metabolic pathways and aids in the annotation and semi-quantitative analysis of metabolomics data.
  • The developed algorithm and associated PMD package are freely available, promoting wider application in scientific research.