Rapid Screening of 352 Pesticide Residues in Chrysanthemum Flower by Gas Chromatography Coupled to Quadrupole-Orbitrap Mass Spectrometry with Sin-QuEChERS Nanocolumn Extraction

Abstract

To analyze pesticide residues, GC coupled with quadrupole-Orbitrap MS (GC-Orbitrap-MS) has become a powerful tool because of its unique characteristics of accurate mass full-spectrum acquisition, high resolution, fast acquisition rates, and overcoming matrix interference. This paper presents an efficiency evaluation of GC-Orbitrap-MS for identification and quantitation in the 352 pesticide residues analysis of chrysanthemum flowers in full-scan mode. A streamlined pretreatment approach using one-step extraction and dilution was used, which provided high-throughput processing and excellent recovery. The samples were extracted using acetonitrile. The extracted solution was purified by a Sin-QuEChERS Nano column to suppress the matrix in chrysanthemum flowers and determined by GC-Orbitrap-MS. The calibration curves for the 352 pesticides obtained by GC-Orbitrap-MS were linear in the range of 0.5–200 μg·kg−1, with the correlation coefficients higher than 0.99. The limits of detection (LODs) and the limits of quantification (LOQs) for the 352 pesticide residues were 0.3–3.0 μg·kg−1 and 1.0–10.0 μg·kg−1, respectively. The average recoveries in chrysanthemum flower at three levels were 95.2%, 88.6%, and 95.7%, respectively, with relative standard deviations (RSDs) of 7.1%, 7.5%, and 7.2%, respectively. Lastly, the validated method and retrospective analysis was applied to a total of 200 chrysanthemum flower samples bought in local pharmacies. The proposed method can simultaneously detect multipesticide residues with a good performance in qualitative and quantitative detection.

A comparison of the determination of multiple pesticide residues in fruits, vegetables, and edible fungi using gas chromatography combined with filtration purification and solid-phase extraction

“…Therefore, formulating maximum residue limits (MRLs) standards for pesticides has become crucial for many countries and organizations to strengthen risk management and control of pesticide residues in fruits and vegetables. [3][4][5] Common methods for testing pesticide residues include gas chromatography (GC), 6 liquid chromatography (LC), 7 gas chromatography-tandem mass spectrometry (GC-MS/MS), 8,9 liquid chromatography-tandem mass spectrometry (LC-MS/MS). 10,11 Mass spectrometry, known for its high selectivity and sensitivity, is particularly suited for detecting trace substances.…”

Method Validation for Multi-Pesticide Residue Determination in Chrysanthemum

“…In addition, chrysanthemum-tea is a popular healthy beverage, not only due to its distinctive taste and flavour, but also because it contains necessary dietary compounds such as amino acids, vitamins, and trace elements [ 5 ]. Therefore, as a good example of “integration of medicine and food”, the chrysanthemum has a large consumer group [ 6 ].…”

“…Currently, QuEChERS is the first choice for rapid pretreatment in a wide variety of substrates [ 23 , 24 ]. Wang et al established a sin-QuEChERS coupled with GC-Orbitrap-MS method for simultaneous determination of 352 pesticide residues in chrysanthemum [ 6 ]. Fan et al established a modified QuEChERS method in combination with HPLC-MS/MS for simultaneous determination of 108 pesticides in three traditional Chinese medicines, including F. thunbergii , C. morifolium , and D. officinale [ 25 ].…”

Fabrication of Versatile Fe3O4/GO/Au Composite Nanomaterial as SERS-active Substrate for Detection of Pesticide Residue

“…In recent years, there has been signi cant development in pesticide residue detection technology, leading to the proposal of various technical methods for detecting pesticide residue in fruits and vegetables (Łozowicka et al 2017). These methods include gas chromatography-mass spectrometry (Wang et al 2022), liquid chromatography-mass spectrometry (Yang et al 2022), immunoassay )and SERS. SERS is a rapid detection technique that has been utilized for food identi cation, quantitative detection, and classi cation of food pollutants.…”