Evidence map›Paper›PMID 42548878›Full record

ArticleFood chemistry: X2026

Flavor diversity characterization of three loquat cultivars via flavoromics combined with E-nose and GC × GC-TOF-MS.

Guili Huang, Yu Shi, Xinyao Quan, Qianshuo Shao, Su Yan, Siyao Sui, Jiajia Ma, Jiayu Qian, Weiming Chai, Yuning Wang

Abstract read
In one paragraph

Article in Food chemistry: X, 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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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Guili HuangInstitute of Agricultural Products Processing and Quality Safety, Suzhou Academy of Agricultural Sciences, Suzhou 215105, China.
Yu ShiDepartment of Science and Technology Talents, Changyinsha Modern Agriculture Demonstration Park, Zhangjiagang 215623, China.
Xinyao QuanInstitute of Agricultural Products Processing and Quality Safety, Suzhou Academy of Agricultural Sciences, Suzhou 215105, China.
Qianshuo ShaoInstitute of Agricultural Products Processing and Quality Safety, Suzhou Academy of Agricultural Sciences, Suzhou 215105, China.
Su YanInstitute of Agricultural Products Processing and Quality Safety, Suzhou Academy of Agricultural Sciences, Suzhou 215105, China.
Siyao SuiInstitute of Agricultural Products Processing and Quality Safety, Suzhou Academy of Agricultural Sciences, Suzhou 215105, China.
Jiajia MaInstitute of Agricultural Products Processing and Quality Safety, Suzhou Academy of Agricultural Sciences, Suzhou 215105, China.
Jiayu QianDepartment of Science and Technology Talents, Changyinsha Modern Agriculture Demonstration Park, Zhangjiagang 215623, China.
Weiming ChaiSchool of Pharmacy, Jiangxi Normal University, Nanchang 330022, China.
Yuning WangInstitute of Agricultural Products Processing and Quality Safety, Suzhou Academy of Agricultural Sciences, Suzhou 215105, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Volatile Organic Compounds (VOCs) are critical determinants of loquat flavor quality and cultivar differentiation, but comprehensive characterization and rapid detection remain challenging. This study aimed to establish a robust approach for discriminating three loquat cultivars and evaluating their flavor quality by integrating electronic nose (E-nose) technology and Comprehensive Two-Dimensional Gas Chromatography-Time-of-Flight Mass Spectrometry (GC × GC-TOF-MS). GC × GC-TOF-MS was used for VOC profiling, while E-nose was applied for rapid fragrance characterization, with orthogonal partial least squares-discriminant analysis (OPLS-DA) and correlation analysis performed to identify discriminatory compounds and sensor-VOC relationships. GC × GC-TOF-MS identified over 2000 volatile compounds across three loquat cultivars. OPLS-DA further screened 22 discriminatory VOCs with variable importance in projection (VIP) values >1, which contributed to aroma hierarchy shifts among cultivars. E-nose sensors W1W and W1S showed high sensitivity to floral-scent-related VOCs, serving as key factors for distinguishing fragrance quality. Notably, E-nose detection results exhibited good consistency with GC × GC-TOF-MS data, and W1W/W1S sensors were significantly positively correlated with key VOCs. These findings demonstrate that the integration of E-nose and GC × GC-TOF-MS offers complementary advantages for comprehensive VOC characterization and cultivar discrimination. The established approach provides a scientific basis for optimizing loquat quality standards by incorporating VOC-driven biochemical authenticity and a potential efficient method for rapid, non-destructive assessment of postharvest flavor quality in loquat cultivars. These results facilitate quality control and cultivar authentication in the fruit industry.

Indexed as

E-noseFlavoromicsGC × GC-TOF-MSLoquat cultivars

Identifiers

PMID42548878
PMCPMC13429919

What Socratic holds

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Registered trials

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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 Socratic graph.