Evidence map›Paper›PMID 41718322›Full record

ArticleMethods and protocols2026

Comprehensive Analytical Profiling for Sustainable Jewelry: A Multi-Technique Characterization of Essential Oil-Modified Rosin.

Dantong Huang, Kaewbucha Manus, Apiwathnasorn Chalisa, Tianyi Liu, Chuyun Yan, Yumeng Gu

Abstract read
In one paragraph

Article in Methods and protocols, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

6 authors.

Dantong HuangSchool of Arts and Design, Guangdong Eco-Engineering Polytechnic, Guangzhou 510520, China.
Kaewbucha ManusChakrabongse Bhuvanarth International for Interdisciplinary Studies (CBIS), Rajamangala University of Technology Tawan-ok, Bangkok 10400, Thailand.
Apiwathnasorn ChalisaFaculty of Fine and Applied Arts, Rajamangala University of Technology Thanyaburi, Khlong Luang, Pathum Thani 12110, Thailand.
Tianyi LiuCollege of Forestry and Landscape Architecture, South China Agricultural University, Guangzhou 510642, China.ORCID 0000-0002-0272-450X
Chuyun YanCollege of Forestry and Landscape Architecture, South China Agricultural University, Guangzhou 510642, China.
Yumeng GuCollege of Forestry and Landscape Architecture, South China Agricultural University, Guangzhou 510642, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rosin, a renewable natural resin derived from pine trees, is a promising biomass material for sustainable product development, though its distinct intrinsic odor limits broader use. This study implemented a comprehensive analytical strategy to mitigate the odor by incorporating essential oils (EOs)-eucalyptus (EUC) and peppermint (MINT)-and to conduct a multi-analytical characterization of the modified rosin jewelry. By integrating complementary analytical techniques, including LC-Q/TOF-MS for non-volatile components and GC-Q/TOF-MS for volatile organic compounds (VOCs), we achieved a systematic chemical profiling of the materials. The core composition of rosin, dominated by abietic acid (>48%), remained stable across all samples. The incorporation of EOs significantly altered the VOC profiles: The total VOC signal (summed peak area) in MINT-modified rosin was 2.57-fold that of the EUC-modified sample, with monoterpenoids comprising 87.62% of its VOC signature. Eucalyptol and limonene were tentatively identified as the major components in the EUC sample, whereas menthone, menthol, and limonene predominated in the MINT sample. Multivariate statistical analysis highlighted that variations in specific VOCs-particularly menthone, menthol, eucalyptol, and allo-ocimene-were closely associated with differences in the scent profiles of each modification. This work illustrates how a multi-technique analytical strategy can both guide and assess the functional modification of sustainable biomass materials. The findings offer a practical approach to improving rosin's functional properties while providing a methodological framework for the integrated characterization of complex biomaterials, supporting the development of eco-friendly products aligned with green chemistry and sustainable design principles.

Indexed as

essential oilsGC-Q/TOF-MSLC-Q/TOF-MSrosin resinsustainable jewelryvolatile organic compounds (VOCs)

Identifiers

PMID41718322
PMCPMC12921789

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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.