Detection of herbicide clopyralid at nanogram per gram level in agricultural products using easy-to-use micro liquid-liquid extraction followed by analysis with ultraperformance liquid chromatography-tandem mass spectrometry

Development and validation of a simple and efficient method for the analysis of commercial formulations containing clopyralid, picloram and aminopyralid as active ingredients

Liquid chromatography plays a pivotal role in evaluating pesticide formulations as it enables the determination of multiple active substances in plant protection products. An adaptable separation technique has been developed, enabling the qualitative and quantitative analysis of clopyralid, picloram, and aminopyralid within pesticide formulations in line with SANCO/3030/99 rev. 5 guidelines. This article offers an insight into the validation procedure encompassing key aspects such as selectivity, linearity, accuracy, precision, and recovery. It places emphasis on critical stages, including sample preparation, chromatographic separation, detection, quantification, and data analysis. The active ingredients are separated using chromatography with isocratic elution, utilizing a mobile phase consisting of a mixture of water, acetonitrile, and acetic acid in a specific ratio (83:15:2 v/v/v). This separation is carried out on a YMC-Pack ODS-AQ column (250 mm x 4.6 mm, 5 μm) at a flow rate of 1.5 mL/min. The method's validation parameters have produced satisfactory outcomes. The recovery rates for each individual compound were found to be in the range of 98.6% to 101.0%. Precision, as indicated by the relative standard deviation (%RSD), was lower than the values predicted by the modified Horwitz equation. Furthermore, the correlation coefficients assessing the linearity of the response exceeded 0.99.

Wireless Volatile Organic Compound Detection for Restricted Internet of Things Environments Based on Cataluminescence Sensors

Cataluminescence-based sensors do not require external light sources and complex circuitry, which enables them to avoid light scattering with high sensitivity, selectivity, and widely linear range. In this study, a wireless sensor system based on hierarchical CuO microspheres assembled from nano-sheets was constructed for Volatile Organic Compound (VOC) online detection. Through sensor characteristics and data process analysis, the results showed that the luminous sensor system has good luminous characteristics, including the intensity of visible light, high signal/noise (S/N) values, and very short response and recovery times. Different VOC concentration values can be detected on multiple wavelength channels and different Cataluminescence signal spectra separations can process multiple sets of Cataluminescence data combinations concurrently. This study also briefly studied the mechanism action of the Cataluminescence sensor, which can specifically be used for VOC detecting.

Simultaneous determination of pyflubumide and its metabolite in vegetables and fruits by ultrahigh performance liquid chromatography-tandem mass spectrometry

A rapid and cost-effective analytical method based on ultrahigh-performance liquid chromatography-tandem mass spectrometry was designed and verified for simultaneously monitoring the novel acaricide pyflubumide and its metabolite (pyflubumide-des(2-methyl-1oxopropyl)) in vegetables and fruits. After the extraction with acetonitrile, the samples were purified by dispersive solid phase extraction with multi-walled carbon nanotubes. Detection of the two target analytes was achieved within 3.0 min using a positive electrospray ionization mode. The average recovery, intra-day precision and inter-day precision of the two analytes at three spiked levels (2, 20 and 100 μg/kg) were 75.0%-101.0%, 0.4%-4.4% and 0.6%-5.3%, respectively. The limit of quantification of two compounds was 2 μg/kg, which was far below the maximum residue limits of pyflubumide in foods established by Japan and South Korea. Finally, the concentrations of pyflubumide and its metabolite in the samples were 16.6 and 7.8 μg/kg respectively, which verified the practicability and reliability of the method. The method was used to efficiently detect pyflumide and its metabolite in real samples, and was confirmed to be robust and effective for routinely analyzing both pyflubumide and its metabolite in vegetable and fruit samples. This article is protected by copyright. All rights reserved.