A Simple Method for Identifying Different Varieties of Honey from Yunnan, China

A targeted method for the determination of 10 active components in 4 characteristic honeys from Yunnan, China, was established using ultra-high-performance liquid chromatography–tandem mass spectrometry (UHPLC-MS/MS). The lower calibration limit differed among analytes, ranging from 0.01 to 0.5 μg·mL−1. The detection limits and quantification limits ranged from 0.03–1.5 mg·kg−1 and 0.1–5.0 mg·kg−1, respectively. The precision, stability, and repeatability were satisfactory. After partial least squares discriminant analysis (PLS-DA) discriminant analysis was applied to four honey varieties, Brassica rapa var. oleifera DC. honey (BRH) and Hevea brasiliensis honey (HBH) clustered into one group but were clearly distinguishable from Amomum tsao-ko Crevost et Lemarié honey (ATH) and Apis cerana honey (ACH). BRH and HBH could be further differentiated using the OPLS-DA model. Gentisic acid, trigonelline, and naringenin were differentially abundant active components among the four honeys, whereas trigonelline and naringenin exhibited differential abundance between BRH and HBH. Volcano plot analysis revealed that homoeriodictyol, quercetin, and naringenin may serve as key compounds for distinguishing ACH and ATH, BRH, and HBH honeys; that trigonelline may be a key compound for differentiating ATH and HBH, ACH, and BRH honeys; and that quercetin and apigenin may be key compounds for distinguishing HBH and ATH, ACH, and BRH honeys.

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Publication Details

Journal
Analytica—A Journal of Analytical Chemistry and Chemical Analysis
Published
2026-09-29
DOI
https://doi.org/10.3390/analytica7040073
Primary Topic
Bee Products Chemical Analysis
Type
article
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A Simple Method for Identifying Different Varieties of Honey from Yunnan, China

Xinqiu Huang, Tao Lin, Hongcheng Liu, Lijuan Du et al.
Analytica—A Journal of Analytical Chemistry and Chemical Analysis
Bee Products Chemical Analysis
article

A Simple Method for Identifying Different Varieties of Honey from Yunnan, China

Xinqiu Huang, Tao Lin, Hongcheng Liu, Lijuan Du, Yanhui Wang, Khine Zar Linn, Yemei Yang, Jiao Zhang
article en

Abstract

A targeted method for the determination of 10 active components in 4 characteristic honeys from Yunnan, China, was established using ultra-high-performance liquid chromatography–tandem mass spectrometry (UHPLC-MS/MS). The lower calibration limit differed among analytes, ranging from 0.01 to 0.5 μg·mL−1. The detection limits and quantification limits ranged from 0.03–1.5 mg·kg−1 and 0.1–5.0 mg·kg−1, respectively. The precision, stability, and repeatability were satisfactory. After partial least squares discriminant analysis (PLS-DA) discriminant analysis was applied to four honey varieties, Brassica rapa var. oleifera DC. honey (BRH) and Hevea brasiliensis honey (HBH) clustered into one group but were clearly distinguishable from Amomum tsao-ko Crevost et Lemarié honey (ATH) and Apis cerana honey (ACH). BRH and HBH could be further differentiated using the OPLS-DA model. Gentisic acid, trigonelline, and naringenin were differentially abundant active components among the four honeys, whereas trigonelline and naringenin exhibited differential abundance between BRH and HBH. Volcano plot analysis revealed that homoeriodictyol, quercetin, and naringenin may serve as key compounds for distinguishing ACH and ATH, BRH, and HBH honeys; that trigonelline may be a key compound for differentiating ATH and HBH, ACH, and BRH honeys; and that quercetin and apigenin may be key compounds for distinguishing HBH and ATH, ACH, and BRH honeys.

Analytica—A Journal of Analytical Chemistry and Chemical AnalysisVol. 7(4)
Ministry of Education Science and Technology (MW), Yunnan Academy of Agricultural Sciences (CN)
Reduced inequalities, Peace, Justice and strong institutions
Openalex Percentile: Top 12%
Bee Products Chemical Analysis
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A Simple Method for Identifying Different Varieties of Honey from Yunnan, China — Xinqiu Huang, Tao Lin, et al. · Analytica—A Journal of Analytical Chemistry and Chemical Analysis (2026) | TGRS Research Map | TGRS