Review of extraction and detection techniques for the analysis of pesticide residues in fruits to evaluate food safety and make legislative decisions: Challenges and anticipations.

Fruits are vital parts of the human diet because they include necessary nutrients that the body needs. Pesticide use has increased dramatically in recent years to combat fruit pests across the world. Pesticide usage during production, on the other hand, frequently results in undesirable residues in fruits after harvest. Consumers are concerned about pesticide residues since most of the fruits are directly consumed and even recommended for the patients as dietary supplements. As a result of this worry, pesticide residues in fruits are being randomly monitored to re-assess the food safety situation and make informed legislative decisions. To assess the degree of pesticide residues in fruits, a simple and quick analytical procedure is usually required. As a result, pesticide residue detection (using various analytical techniques: GC, LC and Biosensors) becomes critical, and regulatory directives are formed to regulate their amounts via the Maximum Residue Limit (MRL). Over the previous two decades, a variety of extraction techniques and analytical methodologies for xenobiotic's efficient extraction, identification, confirmation and quantification have been developed, ranging from traditional to advanced. The goal of this review is to give readers an overview of the evolution of numerous extraction and detection methods for pesticide residue analysis in fruits. The objective is to assist analysts in better understanding how the ever-changing regulatory landscape might drive the need for new analytical methodologies to be developed in order to comply with current standards and safeguard consumers.

Bioefficacy, residue dynamics and dietary risk assessment of gibberellic acid in improving the potential yield of tomato (Solanum lycopersicum L.).

The increasing use of gibberellic acid (GA3) to promote fruit growth and yield has necessitated research into its trace level determination and estimation in harvested product. The phytohormone has increased the tomato yield (tonne ha-1) up to 24.7% with uniform fruit shape, size colour and lustre. A fast, simple, high-throughput analytical method was standardised based on electrospray ionisation - liquid chromatography-tandem mass spectrometry (LC-MS/MS). The samples were extracted using acidified (1% formic acid) methanol. The method was validated as per the SANTE/12682/2019 guidelines. The limits of detection (LOD) and quantification (LOQ) were 0.01 and 0.05 mg kg-1. The average recoveries at LOQ and higher levels were in the range of 86-108% with relative standard deviation (RSD) < 20%. The validated method was successfully applied under field condition by following first-order kinetics with half-lives (T1/2) 1.76 days (recommended dose) and 1.99 days (double dose). The estimated pre-harvest intervals (PHIs) were 6 days (recommended dose) and 8 days (double dose). Studies on dietary risk assessment concluded that even after spray of GA3 at recommended dose, the harvested produce (tomato) could be consumed safely.

Multiclass Multipesticide Residue Analysis in Fish Matrix by a Modified QuEChERS Method Using Gas Chromatography with Mass Spectrometric Determination.

BACKGROUND: Pesticide residue in fish is a global food safety concern. However, very few validated methods are available targeting simultaneous analysis of multiple classes of pesticides. OBJECTIVE: The aim of this study was to validate a quick, easy, cheap, effective, rugged, and safe workflow-based method for the quantitative determination of multiclass pesticides in fish matrix using GC-MS determination. METHOD: The sample was extracted with acetonitrile, and the cleanup method involved dispersive solid-phase extraction with C-18 sorbent, which effectively scavenged the coextracted matrix components and removed those from the extract. The data on recovery and precision of the method satisfied the criteria of SANTE/11813/2017 guidelines. Average recoveries of pesticides were in the range of 80-120% with precision RSDs ≤20%. The LOD and LOQ were in the ranges of 0.001-0.029 and 0.005-0.125 µg/mL, respectively, for all pesticides. The expanded uncertainty was in the range of 14-20%, based on the single-laboratory validation data (coverage factor, k = 2, confidence level, 95%). CONCLUSIONS: The validation data prove that the method is convenient and acceptable for the routine analysis of multiclass pesticide residues in fish matrices for regulatory compliance. HIGHLIGHTS: The study achieves multiresidue analysis of pesticides in fish matrix with MS-based confirmation. The method combines the advantages of nontarget analysis based on National Institute of Standards and Technology library matching in full scan mode with selected-ion monitoring-based sensitivity.