2023
DOI: 10.1016/j.foodchem.2023.136675
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Development of a method for analysis and risk assessment of residual pesticides in ginseng using liquid and gas chromatography-tandem mass spectrometry

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Cited by 7 publications
(2 citation statements)
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“…Working solutions were mixed with the sweet pepper extract to produce a matrix-matched sample, which was used as the final sample to determine the parameters (selectivity, precision, accuracy, sensitivity, and linearity) for method validation and to measure the uncertainty values of the experiment. The matrix effect (ME) was calculated by the following equation [ 29 ]: …”
Section: Methodsmentioning
confidence: 99%
“…Working solutions were mixed with the sweet pepper extract to produce a matrix-matched sample, which was used as the final sample to determine the parameters (selectivity, precision, accuracy, sensitivity, and linearity) for method validation and to measure the uncertainty values of the experiment. The matrix effect (ME) was calculated by the following equation [ 29 ]: …”
Section: Methodsmentioning
confidence: 99%
“…There are several analytical methods based on instrumentation techniques that have been developed to quantify the residual carbaryl concentrations in various matrices, such as high-performance liquid chromatography (HPLC), , HPLC mass spectrometry, supercritical fluid chromatography-mass spectrometry (SFC-MS), gas chromatography-mass spectrometry (GC-MS), , surface-enhanced Raman spectroscopy (SERS), , infrared spectroscopy, colorimetry, , fluorescence, , enzyme-linked immunosorbent assay (ELISA), , and electrochemical methods. Most of these analytical techniques for carbaryl detection possess unavoidable drawbacks such as complex processes for sample pretreatment, time-consuming, employment of specific reagents, and sophisticated instruments that cannot meet the requirements to be further developed for onsite pesticide detection. Therefore, developing a portable analytical method for the rapid detection of carbaryl residues in food matrices is urgently needed for practical applications.…”
Section: Introductionmentioning
confidence: 99%