Expanding the recognition of monosaccharides and glycans: A comprehensive analytical approach using chemical-nose/tongue technology and a comparison to lectin microarrays

Chemical-nose/tongue technologies are emerging as promising analytical tools for glycan analysis. After briefly introducing the importance of glycans and their analytical methods, including the lectin microarray (LMA) as one of the gold standards, the fundamental principles underlying chemical noses...

Full description

Saved in:
Bibliographic Details
Main Authors: Shunsuke Tomita, Chiaki Nagai-Okatani
Format: Article
Language:English
Published: Elsevier 2025-01-01
Series:BBA Advances
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2667160324000176
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1846119349283192832
author Shunsuke Tomita
Chiaki Nagai-Okatani
author_facet Shunsuke Tomita
Chiaki Nagai-Okatani
author_sort Shunsuke Tomita
collection DOAJ
description Chemical-nose/tongue technologies are emerging as promising analytical tools for glycan analysis. After briefly introducing the importance of glycans and their analytical methods, including the lectin microarray (LMA) as one of the gold standards, the fundamental principles underlying chemical noses/tongues are explained and various applications for monosaccharides and glycans are introduced. Then, the similarities and differences of these two approaches are discussed. While both technologies aim to comprehensively profile biospecimens based on ‘interaction patterns’ between multiple recognition probes and analytes, each has its own strengths. LMAs excel at specific, targeted analysis based on defined lectin–glycan interactions, whereas chemical nose/tongue offers greater flexibility and expandability in terms of system design, making it well-suited for discovering unknown glycan profiles and detecting broader differences in glycan mixtures. In the future, chemical-nose/tongue technologies may be applied to niche areas in glycan analysis and become powerful tools that complement LMA techniques.
format Article
id doaj-art-b0127b97a88e4c2ab5e22a934a15e580
institution Kabale University
issn 2667-1603
language English
publishDate 2025-01-01
publisher Elsevier
record_format Article
series BBA Advances
spelling doaj-art-b0127b97a88e4c2ab5e22a934a15e5802024-12-17T05:01:46ZengElsevierBBA Advances2667-16032025-01-017100129Expanding the recognition of monosaccharides and glycans: A comprehensive analytical approach using chemical-nose/tongue technology and a comparison to lectin microarraysShunsuke Tomita0Chiaki Nagai-Okatani1Health and Medical Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), Tsukuba, Ibaraki 305-8566, Japan; School of Integrative and Global Majors, University of Tsukuba, Tsukuba, Ibaraki 305-8577, Japan; Corresponding author at: Health and Medical Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), Tsukuba, Ibaraki 305-8566, Japan.Cellular and Molecular Biotechnology Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), Tsukuba, Ibaraki 305-8565, Japan; Corresponding author at: Cellular and Molecular Biotechnology Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), Tsukuba, Ibaraki 305-8565, Japan.Chemical-nose/tongue technologies are emerging as promising analytical tools for glycan analysis. After briefly introducing the importance of glycans and their analytical methods, including the lectin microarray (LMA) as one of the gold standards, the fundamental principles underlying chemical noses/tongues are explained and various applications for monosaccharides and glycans are introduced. Then, the similarities and differences of these two approaches are discussed. While both technologies aim to comprehensively profile biospecimens based on ‘interaction patterns’ between multiple recognition probes and analytes, each has its own strengths. LMAs excel at specific, targeted analysis based on defined lectin–glycan interactions, whereas chemical nose/tongue offers greater flexibility and expandability in terms of system design, making it well-suited for discovering unknown glycan profiles and detecting broader differences in glycan mixtures. In the future, chemical-nose/tongue technologies may be applied to niche areas in glycan analysis and become powerful tools that complement LMA techniques.http://www.sciencedirect.com/science/article/pii/S2667160324000176SaccharidesGlycansOptical biosensingLectin microarraysMultivariate analysisMachine learning
spellingShingle Shunsuke Tomita
Chiaki Nagai-Okatani
Expanding the recognition of monosaccharides and glycans: A comprehensive analytical approach using chemical-nose/tongue technology and a comparison to lectin microarrays
BBA Advances
Saccharides
Glycans
Optical biosensing
Lectin microarrays
Multivariate analysis
Machine learning
title Expanding the recognition of monosaccharides and glycans: A comprehensive analytical approach using chemical-nose/tongue technology and a comparison to lectin microarrays
title_full Expanding the recognition of monosaccharides and glycans: A comprehensive analytical approach using chemical-nose/tongue technology and a comparison to lectin microarrays
title_fullStr Expanding the recognition of monosaccharides and glycans: A comprehensive analytical approach using chemical-nose/tongue technology and a comparison to lectin microarrays
title_full_unstemmed Expanding the recognition of monosaccharides and glycans: A comprehensive analytical approach using chemical-nose/tongue technology and a comparison to lectin microarrays
title_short Expanding the recognition of monosaccharides and glycans: A comprehensive analytical approach using chemical-nose/tongue technology and a comparison to lectin microarrays
title_sort expanding the recognition of monosaccharides and glycans a comprehensive analytical approach using chemical nose tongue technology and a comparison to lectin microarrays
topic Saccharides
Glycans
Optical biosensing
Lectin microarrays
Multivariate analysis
Machine learning
url http://www.sciencedirect.com/science/article/pii/S2667160324000176
work_keys_str_mv AT shunsuketomita expandingtherecognitionofmonosaccharidesandglycansacomprehensiveanalyticalapproachusingchemicalnosetonguetechnologyandacomparisontolectinmicroarrays
AT chiakinagaiokatani expandingtherecognitionofmonosaccharidesandglycansacomprehensiveanalyticalapproachusingchemicalnosetonguetechnologyandacomparisontolectinmicroarrays