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Record W4409534130 · doi:10.1016/j.microc.2025.113690

Raman micro-spectroscopy uncovers complex structural and chemical adaptations of alpine azalea leaf surface

2025· article· en· W4409534130 on OpenAlexaff
Giuseppe Tiloca, Gilbert Neuner, Reinhard Jetter, Notburga Gierlinger

Bibliographic record

VenueMicrochemical Journal · 2025
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Surface Properties and Treatments
Canadian institutionsUniversity of British Columbia
FundersFiona Wood FoundationAustrian Science Fund
KeywordsAzaleaRaman spectroscopySurface-enhanced Raman spectroscopyMaterials scienceSpectroscopyNanotechnologyChemistryBotanyOpticsBiologyPhysicsRaman scatteringAstronomy

Abstract

fetched live from OpenAlex

• Raman imaging found alkanes, triterpenoids, and phenolics within the cutin matrix. • Flavonoids occurred on the adaxial leaf surface, cinnamic acids on the abaxial surface. • Triterpenoid levels and composition varied between cuticle layers. • The trichome basis contained alkanes, while triterpenoids dominated in distal parts. • Carotenoids and unsaturated lipids were found in subsidiary cells of the stomata. Cuticles are layered multicomponent structures covering plant surfaces. They have numerous functions, and their composition varies between species, plant organs and even within cuticle layers. Therefore, microchemical methods are needed to investigate cuticle structures with the necessary spatial and chemical resolution. Raman micro-spectroscopy allows such non-destructive, in-situ analysis with a lateral resolution of 300 nm. After cutting microsections from the alpine azalea ( Kalmia procumbens ) leaves, we acquired position-resolved Raman spectra from the adaxial and abaxial surfaces (including trichomes and stomata). Multivariate data analysis of the hyperspectral datasets revealed various cuticle layers and the epidermal cell walls, with characteristic composition of alkanes, triterpenoids, phenolics and carbohydrates. Alkanes were found as thin cuticle layers and inside cells at the basis of trichomes, while triterpenoids were present in diverse cuticle locations in varying amounts and compositions. In particular, amyrins were detected on the abaxial cuticle, while ursolic and oleanolic acid impregnated the adaxial cuticle and the distal part of the trichomes. On the adaxial side of the leaf, flavonoids were detected throughout the cuticle and as clusters within the epidermal cell lumen as well as tiny spines on the outer surface. In contrast, flavonoids were less prominent in the abaxial cuticle, but characteristic Raman bands could instead be attributed to cinnamic acids. The trichomes and thick cuticle across both leaf surfaces, and their impregnation with triterpenoids and aromatic components may help K. procumbens withstand the extreme environmental conditions of its habitat.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.271

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.015
GPT teacher head0.229
Teacher spread0.214 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2025
Admission routes1
Has abstractyes

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