Exploring an innovative method combining large-volume injection and mass spectrometry for detecting organophosphorus pesticide residues in rice, enhancing food safety.

preliminary study was conducted on the method of detecting various organophosphorus pesticide residues in rice by combining “gastric bag” large-volume direct injection and mass spectrometry selected ion monitoring technology. The effect of rice matrix on the signal-to-noise ratio of 14 pesticides when injected without pretreatment was investigated, and detection methods for 9 organophosphorus pesticides were established based on the selected ion monitoring technology of mass spectrometry. Among them, the lowest limit of quantification (loq) of 7 pesticides is 4.0~10.0¦Ìg/kg, the recovery rate of sample addition ranges from 67% to 106%, and most of the rsd is less than 20% (n=6).

Introduction to a Novel Analytical Method for Pesticide Detection

In the pursuit of ensuring food safety and mitigating health risks associated with pesticide residues in agricultural products, a novel analytical method has been developed to detect organophosphorus pesticide residues in rice. This method leverages the synergy between “gastric bag” large-volume direct injection and mass spectrometry selected ion monitoring technology to offer a more efficient and direct approach to pesticide residue analysis.

The Significance of Detecting Organophosphorus Pesticides in Food

Organophosphorus pesticides are widely used in agriculture to control pests and diseases. However, their persistence in the environment and accumulation in food products pose significant health risks to consumers, including neurotoxic effects and potential links to chronic diseases. Consequently, the development of sensitive, accurate, and rapid methods for detecting these residues in food products is of paramount importance.

Methodology: A Synergistic Approach to Pesticide Analysis

The preliminary study focused on the effectiveness of combining “gastric bag” large-volume direct injection with mass spectrometry’s selected ion monitoring technology. This combination aims to streamline the detection process by eliminating the need for extensive sample pretreatment, which is often time-consuming and can introduce analytical errors. The research evaluated the impact of the rice matrix on the signal-to-noise ratio for 14 different pesticides when samples were injected without pretreatment. This approach underscores the method’s sensitivity and specificity in a complex food matrix.

Results: Sensitivity and Accuracy in Pesticide Detection

The results of this investigation have led to the establishment of detection methods for 9 organophosphorus pesticides, showcasing the potential of this analytical technique. The study highlights that among these pesticides, the lowest limit of quantification (LOQ) ranged from 4.0 to 10.0 µg/kg. This sensitivity is crucial for detecting low-level pesticide residues that may still pose health risks. Furthermore, the recovery rate of these pesticides in spiked rice samples varied from 67% to 106%, with most of the relative standard deviations (RSDs) being less than 20% for six replicates. These metrics are indicative of the method’s accuracy and precision, essential attributes for reliable pesticide residue analysis.

Implications for Food Safety and Regulatory Compliance

The implications of this research extend beyond academic interest, presenting a practical solution to a pressing public health issue. By enabling the detection of organophosphorus pesticide residues at lower limits and with high recovery rates, this method supports stricter regulatory compliance and more informed decisions regarding food safety. Moreover, the reduced need for sample pretreatment and the potential for rapid analysis could facilitate more widespread and frequent monitoring of pesticide residues in agricultural products.

Conclusion: Advancing Food Safety Through Innovative Detection Methods

In conclusion, the combination of “gastric bag” large-volume direct injection and mass spectrometry’s selected ion monitoring technology represents a significant advancement in the field of food safety analysis. By offering a sensitive, accurate, and efficient method for detecting organophosphorus pesticide residues in rice, this approach contributes to the ongoing efforts to protect public health and ensure the safety of food supplies. Further research and development in this direction will undoubtedly continue to enhance our ability to detect and manage the risks associated with pesticide residues in the food chain.

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Original research was done by Yuan Jiaqi, Yong Wei, Cai Huixia, Gao Xiwu, Li Jin, Chu Xiaogang

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