The accumulation of antibiotics by plants is a currently concern associated to yield reduction and transference of antibiotic residues along the food web. Maize is a staple food in many parts of the world; it is also considered an important ingredient in animal nutrition. Considering the lack of validated analytical methods for the analysis of ciprofloxacin (CIPRO) and enrofloxacin (ENRO) in the shoot of Zea mays maize, we developed a reliable reversed-phase high-performance liquid chromatography method with fluorescence detection (HPLC-FLD). This method was validated for linearity, matrix effects, precision, accuracy, limits of quantification (LOQ) and detection (LOD), and robustness. The analytical curves were linear with coefficient of determination (R2) of 0.9907 for CIPRO and 0.9962 for ENRO. The LOD values were 16.65 and 6.57 μg kg−1 for CIPRO and ENRO, respectively, whereas LOQ values were 50.44 μg kg−1 (CIPRO) and 19.92 μg kg−1 (ENRO). HPLC-FLD also displayed good precision and accuracy. Therefore, the proposed method can be considered a reliable and useful tool for the analysis of ciprofloxacin and enrofloxacin in the shoot of maize.
Introduction: Honey is a natural substance produced by bees mainly from flower nectar with high nutritional value. However, many commercialized samples are adulterated or falsified. Method: We bought twelve honeys in markets in the city of Betim (Brazil) and analyzed their acidity, pH, electrical conductivity, insoluble matter, ashes, moisture content, presence of mesophile bacteria, molds, yeasts, total coliforms, Salmonella spp. and the presence of pollen grains. Results: Considering all honey samples, the average pH was 3.8 ± 0.5 and the average free acidity was 29.8 ± 6.6 mEq/kg. Considering acidity, we found the average of lactonic acidity 6.4 ± 2.4 mEq/kg and a total average acidity of 36.2 ± 6.9 mEq/kg. The average moisture content was 19.4 ± 1.0 %, the average electrical conductivity was 391.6 ± 168.6 µS/cm, the average amount of ashes was 0.5±0.8 % and the average insoluble matter was 0.08±0.02 %. Only the moisture was significantly different between the two groups and neither honey samples had pollen grains. Conclusions: The quality parameters of the labeled and unlabeled samples were not different, although two samples of unlabeled honey were fraudulent, mainly due to the absence of pollen grains. Identifying the presence or absence of pollen in the samples is a safe, economical, and reliable first step for verifying the authenticity of the honey.
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