Objective:
Identify seasonal chemical patterns in Scottish honey using phenolic-focused, untargeted ion mobility liquid chromatography–mass spectrometry.
Approach:
- Samples: Researchers analyzed 39 honey samples, including Scottish spring, summer, and heather honeys, plus blended, infused, and non-Scottish commercial products. A paired subset compared spring and summer samples from approximately nine of the same Aberdeenshire apia…
- Analysis: Honey extracts were analyzed by ultra-high-performance liquid chromatography–ion mobility–quadrupole time-of-flight mass spectrometry. Quality-control procedures were used to filter and assess detected features.
Key Findings:
- After quality filtering, 1,738 features met precision and linearity requirements; 51 were annotated, including four confirmed with authentic standards.
- Spring and summer honeys differed in compounds including galangin, quercetin, sebacic acid, tricoumaroyl spermidine, suberic acid, and luteolin-7-glucuronide.
- Heather honey markers included 3-phenyllactic acid, abscisic acid, 4-hydroxycinnamaldehyde, and kaempferol-related compounds.
- Exploratory analyses found differences among Scottish, non-Scottish, blended, and infused products, but some comparator groups had very few samples.
Interpretation:
The authors report season-associated chemical variation, including differences between spring and summer honey from the same apiaries. Such variation may need to be considered when developing chemical reference profiles for honey authenticity assessment.
Limitations:
- The study had no independent validation cohort, and the exploratory models were intended for marker discovery rather than validated authentication.
- Complete extraction recovery was not evaluated using internal standards.
- Some comparator groups contained only one or a few samples.
- The authors noted that collision cross-section measurements may not distinguish closely related structural isomers and should be treated as supporting, not definitive, annotation evidence.
Conclusion:
The authors state that broader sampling, additional authentic standards, and external validation are needed before the workflow can support routine traceability or regulatory testing.
This content is an AI-generated, fully rewritten summary based on a published scholarly article. It does not reproduce the original text and is not a substitute for the original publication. Readers are encouraged to consult the source for full context, data, and methodology.
Newsletters
Receive the latest analytical science news, personalities, education, and career development – weekly to your inbox.
