Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

MALDI-TOF Mass Spectrometry01:19

MALDI-TOF Mass Spectrometry

5.2K
Mass spectrometry is a powerful characterization technique that can identify and separate a wide variety of compounds ranging from chemical to biological entities, based on their mass-to-charge ratio (m/z). The instruments that allow this detection, known as mass spectrometers, have three components: an ion source, a mass analyzer, and a detector. These spectrometers differ based on the nature of their ion source and analyzers.
Matrix-assisted laser desorption ionization (MALDI) is a commonly...
5.2K
Differential Staining Technique01:26

Differential Staining Technique

615
Differential staining is an essential microbiological technique that exploits variations in cell wall structures to classify and identify microorganisms. It facilitates the distinction of bacteria, aiding in diagnostic and research applications. Two of the most widely used differential staining methods are Gram staining and acid-fast staining, both of which rely on the chemical and structural differences in bacterial cell walls.Gram Staining TechniqueGram staining differentiates bacteria by...
615
Methods of Classification and Identification01:28

Methods of Classification and Identification

187
Bacterial identification relies on a diverse array of techniques to classify and understand microorganisms, each tailored to uncover specific characteristics. Traditional morphological approaches, while still valuable, are limited for closely related or structurally simple organisms. Modern methods integrate biochemical, serological, genetic, and advanced molecular tools to achieve greater accuracy.Morphological and Biochemical TechniquesMorphological characteristics, such as cell shape and...
187
Modern Molecular Taxonomy01:29

Modern Molecular Taxonomy

141
Advancements in molecular biology have revolutionized the identification and characterization of bacteria, with multiple methods leveraging DNA sequencing for enhanced precision. As sequencing technologies improve and costs decline, these approaches are increasingly used in clinical, environmental, and evolutionary studies.Multilocus Sequence Typing (MLST) examines several housekeeping genes, essential chromosomal genes encoding cellular functions, to distinguish strains. Approximately...
141

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Whole genome sequence analysis of eight <i>Bacillus</i> isolates from sugar beet factory juice and biofilms.

Microbiology resource announcements·2026
Same author

Optimizing antimicrobial dosing of bacterial isolates from sugar beet factories to reduce sucrose losses.

Applied and environmental microbiology·2026
Same author

Can antimicrobial peptides provide an improved antimicrobial strategy for treatment of <i>Cutibacterium acnes</i> prosthetic joint infection?

Microbiology spectrum·2025
Same author

Whole genome sequencing of <i>Leuconostoc suionicum</i>, <i>L. mesenteroides</i>, and <i>L. citreum</i> isolates from sugar beet factory juice and biofilms.

Microbiology resource announcements·2025
Same author

Genomic insights into persistence, antibiotic resistance, and intraspecific diversity of lactic acid bacterial contaminants at corn dry-grind fuel ethanol facilities.

Bioresource technology·2025
Same author

Fungal and Bacterial Species Associated with Storage Diseases in Sugar Beet from the Red River Valley of Minnesota and North Dakota.

Plant disease·2025

Related Experiment Video

Updated: Sep 11, 2025

Automated Modular High Throughput Exopolysaccharide Screening Platform Coupled with Highly Sensitive Carbohydrate Fingerprint Analysis
12:02

Automated Modular High Throughput Exopolysaccharide Screening Platform Coupled with Highly Sensitive Carbohydrate Fingerprint Analysis

Published on: April 11, 2016

11.6K

Classifying dextrans and levans from sugar crop processing microbial isolates with FTIR spectroscopy, machine

Evan Terrell1, Gillian O Bruni1, Yunci Qi1,2

  • 1US Department of Agriculture, Agricultural Research Service, New Orleans, LA, USA.

Journal of the Science of Food and Agriculture
|August 15, 2025
PubMed
Summary

Microbially-derived exopolysaccharides (EPS) like dextrans and levan fructans cause processing issues in sugar manufacturing. This study presents a low-cost Fourier transform infrared (FTIR) spectroscopy method with chemometrics to effectively distinguish between dextran and levan EPS.

Keywords:
FTIRLevan fructandextranexopolysaccharidesmachine learningsugar beetsugarcane

More Related Videos

OLIgo Mass Profiling OLIMP of Extracellular Polysaccharides
08:43

OLIgo Mass Profiling OLIMP of Extracellular Polysaccharides

Published on: June 20, 2010

13.8K
High-throughput Screening of Recalcitrance Variations in Lignocellulosic Biomass: Total Lignin, Lignin Monomers, and Enzymatic Sugar Release
11:31

High-throughput Screening of Recalcitrance Variations in Lignocellulosic Biomass: Total Lignin, Lignin Monomers, and Enzymatic Sugar Release

Published on: September 15, 2015

10.1K

Related Experiment Videos

Last Updated: Sep 11, 2025

Automated Modular High Throughput Exopolysaccharide Screening Platform Coupled with Highly Sensitive Carbohydrate Fingerprint Analysis
12:02

Automated Modular High Throughput Exopolysaccharide Screening Platform Coupled with Highly Sensitive Carbohydrate Fingerprint Analysis

Published on: April 11, 2016

11.6K
OLIgo Mass Profiling OLIMP of Extracellular Polysaccharides
08:43

OLIgo Mass Profiling OLIMP of Extracellular Polysaccharides

Published on: June 20, 2010

13.8K
High-throughput Screening of Recalcitrance Variations in Lignocellulosic Biomass: Total Lignin, Lignin Monomers, and Enzymatic Sugar Release
11:31

High-throughput Screening of Recalcitrance Variations in Lignocellulosic Biomass: Total Lignin, Lignin Monomers, and Enzymatic Sugar Release

Published on: September 15, 2015

10.1K

Area of Science:

  • Agricultural Science
  • Biotechnology
  • Analytical Chemistry

Background:

  • Microbially-derived exopolysaccharides (EPS) from sucrose-consuming microorganisms present significant operational challenges in raw sugar manufacturing.
  • These EPS, primarily dextrans and levan fructans, contribute to factory losses and necessitate improved characterization methods.
  • Developing efficient methods to identify and manage EPS is crucial for optimizing sugar production processes.

Purpose of the Study:

  • To develop and validate an accessible analytical method for characterizing exopolysaccharides (EPS) in sugar crop processing.
  • To differentiate between dextran and levan fructans, two major types of EPS impacting raw sugar production.
  • To provide a foundation for improved engineering practices and management strategies for EPS in the sugar industry.

Main Methods:

  • Bacterial strains isolated from sugar processing facilities were used to produce EPS.
  • Fourier transform infrared (FTIR) spectroscopy was employed to analyze EPS samples and standards.
  • Chemometric techniques, including principal component analysis (PCA) and machine learning algorithms, were applied for data analysis and classification.

Main Results:

  • Principal Component Analysis (PCA) applied to FTIR data successfully distinguished between dextran and levan EPS.
  • Machine learning techniques (LDA, SVM, k-NN) effectively classified EPS based on FTIR spectral data.
  • Genomic analysis confirmed the presence of dextran- and levan-producing genes in the isolated bacterial strains, corroborating spectroscopic findings.

Conclusions:

  • The study demonstrates a cost-effective and low-labor analytical classification method for EPS in raw sugar production.
  • This chemometric approach using FTIR spectroscopy has the potential to enhance EPS management in sugar processing facilities.
  • Future research should focus on applying these methods to complex samples like sugar crop juices and mixed microbial cultures.