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Distinguishing Pure Honey from Honey Adulterated with Added Sugar Using the LC–MS/MS Method

VALENSI · Vol. ume No. 1 (2026) · pp. 119–131

DOI
10.15408/jkv.v12i1.50065
ISSN
2548-3013, 2460-6065
Published
2026-06-06
Publisher
Department of Chemistry, Faculty of Science and Technology Syarif Hidayatullah Jakarta State Islamic University
Language
eng
License
creativecommons.org/licenses/by-sa/4.0

Abstract

Honey adulteration through the addition of sugar such as liquid sugar, cane sugar, fructose, and glucose remains a major concern affecting honey quality and authenticity. This study aimed to differentiate pure honey, sugar-adulterated honey, and synthetic honey using a liquid chromatography tandem mass spectrometry (LC-MS/MS) fingerprinting approach. Samples included pure acacia (A), longan (K), and kapok/randu (N) honeys, their corresponding sugar-adulterated variants, and synthetic honey (S) as a negative control. The results demonstrated that LC-MS/MS fingerprints effectively distinguished pure honey from adulterated and synthetic samples. Pure honeys exhibited more complex and specific metabolite profiles, whereas sugar addition led to simplified chromatographic patterns dominated by sugar-related compounds. Fructose- and glucose-adulteration produced metabolite profiles most similar to synthetic honey, with randu honey showing the highest sensitivity to fructose addition. Fructosylated compounds such as N-(1-deoxy-1-fructosyl)phenylalanine (Fru-Phe) and isomaltol were identified as indicators of sugar addition and thermal processing. In contrast, biologically and botanically derived metabolites, including umbelliferone, indoleacrylic acid, hypoxanthine, O-glutarylcarnitine, cyclic melatonin, phenethyl tiglate, and indole-3-carboxaldehyde, reflected nectar origin and natural biological processes. The detection of phenanthrene-3,4-diol further indicated environmental influences on honey composition. Overall, integrating processing indicators with biological and botanical markers provides a comprehensive and reliable framework for honey authentication via LC-MS/MS fingerprinting.

Keywords

Collaboration network of the authors

36 authors · 93 co-authorship links · 1 across different organisations

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • Syarif Hidayatullah State Islamic University Jakarta
  • Universitas Muhammadiyah Sukabumi
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Nurul AmiliaAffiliation unknown4
Dede SukandarAffiliation unknown3
Meyliana WulandariAffiliation unknown3
Achmad Tjachja NugrahaAffiliation unknown3
Nurhasni NurhasniSyarif Hidayatullah State Islamic University Jakarta2
Anna MuawanahSyarif Hidayatullah State Islamic University Jakarta2
Agik SuprayogiAffiliation unknown2
Min RahminiwatiAffiliation unknown2
Aryani SatyaningtijasAffiliation unknown2
Dimas AndriantoAffiliation unknown2
Ade CandraSyarif Hidayatullah State Islamic University Jakarta1
Nur ErnitaSyarif Hidayatullah State Islamic University Jakarta1
Ahmad FathoniAffiliation unknown1
Fuady HaniefAffiliation unknown1
Lia PratiwiAffiliation unknown1
Hajar HajarAffiliation unknown1
Barokah AliyantaAffiliation unknown1
Ahmad Saepul MujabAffiliation unknown1
Syifa FauziahAffiliation unknown1
Siti NurbaytiAffiliation unknown1
Salih MuharamAffiliation unknown1
Andhi VitariaAffiliation unknown1
Thamzil LasAffiliation unknown1
Siti Nihayatul InayahAffiliation unknown1
Ratna IstianahUniversitas Muhammadiyah Sukabumi1
Lela MukmillahAffiliation unknown1
Hilyatuz ZahrohAffiliation unknown1
Eka Rizki AmeliaAffiliation unknown1
Nadya Uswatun HasanahAffiliation unknown1
Hajar HajarAffiliation unknown1
Siti NurbayaAffiliation unknown1
Syed Azhar Syed SulaimanAffiliation unknown1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

Metadata source: OAI-PMH (metadata jurnal) http://journal.uinjkt.ac.id/index.php/valensi/oai, first harvested 10 Nov 2026, last seen 10 Nov 2026.
Original metadata (oai_dc)
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	<dc:title xml:lang="en">Distinguishing Pure Honey from Honey Adulterated with Added Sugar Using the LC–MS/MS Method</dc:title>
	<dc:creator xml:lang="en">Sumarlin, La Ode</dc:creator>
	<dc:creator xml:lang="en">Yunita, Etyn </dc:creator>
	<dc:creator xml:lang="en">Senjayani, Agustina </dc:creator>
	<dc:creator xml:lang="en">Megantari, Vetty </dc:creator>
	<dc:subject xml:lang="en">Authentication</dc:subject>
	<dc:subject xml:lang="en">honey</dc:subject>
	<dc:subject xml:lang="en">LC–MS/MS</dc:subject>
	<dc:subject xml:lang="en">sugar adulteration</dc:subject>
	<dc:description xml:lang="en">Honey adulteration through the addition of sugar such as liquid sugar, cane sugar, fructose, and glucose remains a major concern affecting honey quality and authenticity. This study aimed to differentiate pure honey, sugar-adulterated honey, and synthetic honey using a liquid chromatography tandem mass spectrometry (LC-MS/MS) fingerprinting approach. Samples included pure acacia (A), longan (K), and kapok/randu (N) honeys, their corresponding sugar-adulterated variants, and synthetic honey (S) as a negative control. The results demonstrated that LC-MS/MS fingerprints effectively distinguished pure honey from adulterated and synthetic samples. Pure honeys exhibited more complex and specific metabolite profiles, whereas sugar addition led to simplified chromatographic patterns dominated by sugar-related compounds. Fructose- and glucose-adulteration produced metabolite profiles most similar to synthetic honey, with randu honey showing the highest sensitivity to fructose addition. Fructosylated compounds such as N-(1-deoxy-1-fructosyl)phenylalanine (Fru-Phe) and isomaltol were identified as indicators of sugar addition and thermal processing. In contrast, biologically and botanically derived metabolites, including umbelliferone, indoleacrylic acid, hypoxanthine, O-glutarylcarnitine, cyclic melatonin, phenethyl tiglate, and indole-3-carboxaldehyde, reflected nectar origin and natural biological processes. The detection of phenanthrene-3,4-diol further indicated environmental influences on honey composition. Overall, integrating processing indicators with biological and botanical markers provides a comprehensive and reliable framework for honey authentication via LC-MS/MS fingerprinting.</dc:description>
	<dc:publisher xml:lang="en">Department of Chemistry, Faculty of Science and Technology Syarif Hidayatullah Jakarta State Islamic University</dc:publisher>
	<dc:date>2026-06-06</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://journal.uinjkt.ac.id/index.php/valensi/article/view/50065</dc:identifier>
	<dc:identifier>10.15408/jkv.v12i1.50065</dc:identifier>
	<dc:source xml:lang="en">Jurnal Kimia Valensi; Jurnal Kimia VALENSI,  Volume 12, No. 1, May 2026; 119-131</dc:source>
	<dc:source>2548-3013</dc:source>
	<dc:source>2460-6065</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://journal.uinjkt.ac.id/index.php/valensi/article/view/50065/19276</dc:relation>
	<dc:rights xml:lang="en">Copyright (c) 2026 La Ode Sumarlin, Etyn  Yunita, Agustina  Senjayani, Vetty  Megantari</dc:rights>
	<dc:rights xml:lang="en">https://creativecommons.org/licenses/by-sa/4.0</dc:rights>
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