Evidence map›Paper›PMID 41804088›Full record

ArticleJournal of food science2026

Characterizing the Flavor of New Zealand Native Plants Using Consumer-Derived Attributes and Gas Chromatography-Mass Spectrometry.

Carolina E Realini, Santanu Deb-Choudhury, Arvind K Subbaraj, Luis Guerrero, Damir D Torrico, Elizabeth E Ham, Scott C Hutchings

Abstract read
In one paragraph

Article in Journal of food science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Valorisation of the HalophyteFoods (Basel, Switzerland) · 2026
    Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Carolina E RealiniFood Technology & Processing, AgResearch Group, Bioeconomy Science Institute, Palmerston North, New Zealand.ORCID https://orcid.org/0000-0003-2036-316X
Santanu Deb-ChoudhuryProteins and Metabolites, AgResearch Group, Bioeconomy Science Institute, Lincoln, New Zealand.ORCID https://orcid.org/0000-0003-2676-4044
Arvind K SubbarajProteins and Metabolites, AgResearch Group, Bioeconomy Science Institute, Lincoln, New Zealand.
Luis GuerreroIRTA Monells, Finca Camps i Armet, Monells, Spain.
Damir D TorricoDepartment of Food Science and Human Nutrition, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA.ORCID https://orcid.org/0000-0003-1482-2438
Elizabeth E HamFood Technology & Processing, AgResearch Group, Bioeconomy Science Institute, Palmerston North, New Zealand.
Scott C HutchingsFood Technology & Processing, AgResearch Group, Bioeconomy Science Institute, Palmerston North, New Zealand.

Funding

AgResearch Ltd. Strategic Science Investment Fund SSIF-A27235Ministry of Business, Innovation and Employment
6 · The paper itself

Abstract

Understanding the flavor properties of Aotearoa-New Zealand native plants is essential for their successful incorporation into foods and beverages. This study characterized the flavor of six edible plant species using consumer sensory evaluation and gas chromatography-mass spectrometry (GC-MS) of volatile compounds. Standardized liquid infusions were prepared for all species, and a lexicon of 21 flavor attributes was developed through six consumer focus groups (n = 36). A Rate-All-That-Apply (RATA) evaluation with consumers (n = 121) provided attribute intensity ratings and sample overall liking (9-point scale). Flavor attributes differed significantly across species. Kiokio received the highest liking (5.62), characterized by "sweet," "fruity," "fresh," and "floral" notes. Horopito followed (4.98), defined by "spicy" and "peppery" pungency. Scores below the scale midpoint were observed for Red matipo (4.56), dominated by "green tea" notes, and Kawakawa (4.47), associated with "herbal" and "minty" attributes. Lemonwood (2.52) and Pikopiko (2.59) were the least liked, driven primarily by intense "bitter" and "astringent" notes. GC-MS annotated 69 volatile compounds across species, of which a subset of 20, primarily terpenes and aldehydes, best explained variation in key flavor attributes (e.g., terpinen-4-ol and trans-calamenene for "spicy"). Generalized Procrusters Analysis revealed strong sensory-chemical alignment for Horopito, Kawakawa, and Red matipo, whereas Kiokio, Lemonwood, and Pikopiko showed weaker alignment, indicating that some major taste drivers arise from nonvolatile constituents. The findings provide foundational flavor characterization for New Zealand native plants and offer practical guidance for ingredient development, processing optimization, and formulation strategies to maximize consumer acceptance. PRACTICAL APPLICATIONS: The comprehensive flavor characterization, including sensory attributes and underlying volatile compounds, provides valuable data for the New Zealand food industry to strategically utilize these native plants. By identifying attributes that positively (e.g., Sweet, Fresh, Fruity) and negatively (e.g., Bitter, Astringent) influence consumer liking, product developers can tailor processing or formulations to optimize acceptability. Specifically, the dominance of Spicy/Peppery notes in Horopito and Sweet/Fruity notes in Kiokio suggests clear paths for incorporation into novel food and beverage products, supporting the growth of a sustainable edible native plants industry led by Māori (indigenous people of Aotearoa-New Zealand) agribusiness.

Indexed as

Consumer BehaviorGas Chromatography-Mass SpectrometryPlants, EdibleTasteAdultFlavoring AgentsHumansMiddle AgedNew ZealandVolatile Organic CompoundsYoung AdultFlavoring AgentsVolatile Organic CompoundsGC–MSindigenous plantslexiconRATAsensoryvolatiles

Identifiers

PMID41804088
PMCPMC12972599

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.