Detection of Pyrethroid Residues in Honey and Royal jelly Using HPLC-MS/MS

Abstract Honey and royal jelly may be contaminated by pesticides in the environment, which can be carried by honeybees to the hive and remain in honey. Thus, rapid and advanced methods for detecting pesticide residues in honey are crucial to safeguard consumer health. In this research, a rapid, efficient, and accurate method for the simultaneous detection of pyrethroid residues (DEL, FLU, CYF, CYH, FEN, CYP, α-CYP) in honey and royal jelly was developed based on high-performance liquid chromatography–tandem mass spectrometry (HPLC-MS/MS). The QuEChERS method was coupled to HPLC-MS/MS and optimized for these pyrethroids. The limit of detection (LOD) for residues in honey was 0.125–1 μg/kg, while the limit of quantitation (LOQ) was 0.25–5 μg/kg, with recovery rates ranging from 89% to 110%. The LOD for residues in royal jelly was 0.25–1 μg/kg, while the LOQ was 0.5–20 μg/kg, with recovery rates ranging from 81% to 90%. This method exhibits stability and high sensitivity and meets the requirements of pesticides, with good linearity in the range of 1–100 μg/kg (R > 0.99). It provides a method for the detection and risk assessment of pyrethroid residues in honey and royal jelly.

Authors

Institutions

Publication Details

Journal
International Journal of Food Science & Technology
Published
2026-03-09
DOI
https://doi.org/10.1093/ijfood/vvag024
Primary Topic
Pesticide Residue Analysis and Safety
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Detection of Pyrethroid Residues in Honey and Royal jelly Using HPLC-MS/MS

Lian Zhou, Xiao Liang, Meijiao Pan, Liuchuan Guo et al.
International Journal of Food Science & Technology
Pesticide Residue Analysis and Safety
article

Detection of Pyrethroid Residues in Honey and Royal jelly Using HPLC-MS/MS

Lian Zhou, Xiao Liang, Meijiao Pan, Liuchuan Guo, Fei Liu, Yi Lu, Zhicheng Sun, Qidi Zhang, Qian Song, Xin Chen
article en

Abstract

Abstract Honey and royal jelly may be contaminated by pesticides in the environment, which can be carried by honeybees to the hive and remain in honey. Thus, rapid and advanced methods for detecting pesticide residues in honey are crucial to safeguard consumer health. In this research, a rapid, efficient, and accurate method for the simultaneous detection of pyrethroid residues (DEL, FLU, CYF, CYH, FEN, CYP, α-CYP) in honey and royal jelly was developed based on high-performance liquid chromatography–tandem mass spectrometry (HPLC-MS/MS). The QuEChERS method was coupled to HPLC-MS/MS and optimized for these pyrethroids. The limit of detection (LOD) for residues in honey was 0.125–1 μg/kg, while the limit of quantitation (LOQ) was 0.25–5 μg/kg, with recovery rates ranging from 89% to 110%. The LOD for residues in royal jelly was 0.25–1 μg/kg, while the LOQ was 0.5–20 μg/kg, with recovery rates ranging from 81% to 90%. This method exhibits stability and high sensitivity and meets the requirements of pesticides, with good linearity in the range of 1–100 μg/kg (R > 0.99). It provides a method for the detection and risk assessment of pyrethroid residues in honey and royal jelly.

International Journal of Food Science & Technology
Qingdao Agricultural University (CN), Animal Health Institute (US), Département Santé Animale (FR), Department of Animal Health (VN), China Animal Health and Epidemiology Center (CN)
Openalex Percentile: Top 31%
Pesticide Residue Analysis and Safety
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Detection of Pyrethroid Residues in Honey and Royal jelly Using HPLC-MS/MS — Lian Zhou, Xiao Liang, et al. · International Journal of Food Science & Technology (2026) | TGRS Research Map | TGRS