RESUMO
Bauhinia cheilantha (Fabaceae), known popularly as pata-de-vaca and mororó has been largely recommended treating several diseases in folk medicine. However, information on safe doses and use is still scarce. The goal was to evaluate in-vitro antioxidant and antihemolytic and also acute and sub-acute toxicity effects of hydroalcoholic extract from B. cheilantha leaves (HaEBcl). The identification of the compounds in the HaEBcl was performed by ultra-performance liquid chromatography coupled with a diode array detector and quadrupole time-of-flight mass spectrometry. Antioxidant and hemolytic activity of HaEBcl was evaluated in vitro. To study acute toxicity, female mice received HaEBcl in a single dose of 300 and 2.000 mg/kg. Later, sub-acute toxicity was introduced in both female and male mice by oral gavage at 300, 1000, or 2000 mg/kg for 28 consecutive days. Hematological and biochemical profiles were created from the blood as well as from histological analysis of the liver. HaEBcl is rich in flavonoids (quercitrin and afzelin), has no hemolytic effects and moderate antioxidant effects in vitro. Acute toxicity evaluation showed that lethal dose (LD50) of HaEBcl was over 2000 mg/kg. Sub-acute toxicity testing elicited no clinical signs of toxicity, morbidity, or mortality. The hematological and biochemical parameters discounted any chance of hepatic or kidney toxicity. Furthermore, histopathological data did not reveal any disturbance in liver morphology in treated mice. Results indicate that HaEBcl has no hemolytic and moderate antioxidant effects in vitro. In addition, HaEBcl dosage levels up to 2000 mg/kg are nontoxic and can be considered safe for mammals.
RESUMO
This work describes a 3D-printed robotic system named RSAWA (robotic system for automatic water analysis) for fully automated water analysis. RSAWA consists of a robotic arm coupled to a syringe pump, temperature and conductivity sensors, a low-cost webcam as colorimetric detector, and a 96-well microplate placed on a 3D-printed platform. The robotic system is controlled by software and it performs all analytical procedures. RSAWA was applied to measure conductivity (CDT), pH, total alkalinity (TA), total hardness (TH), chloride (Cl-), nitrite (NO2-), total dissolved phosphorus (TP), and total iron (TI) in drinkable water samples. A simple circuit was designed for conductivity determinations, while colorimetric pH determinations were carried out using Hue values extracted from digital images and a pH universal indicator. HSV histograms were used to calculate Pearson's correlation coefficients, allowing the construction of accurate titration curves. In addition to achieving sample throughputs of 112 h-1 for TA and TH determinations and 92 h-1 for Cl- determinations, RSAWA produced 99.5% less waste than the corresponding reference methods during titrations. Colorimetric measurements were performed through RGB vector norms calculated from digital images were used as analytical signals. Limits of quantification (µg L-1) were 6.83, 13.0 and 1.5 mg L-1 for NO2-, TP, and TI determinations, respectively. Sample throughputs (samples h-1) were 83 for NO2- and TP and 72 for TI with a 98.5% reduction in waste generation. Thus, RSAWA is a low-cost, feasible, and environmentally friendly alternative to quickly and accurately determine several chemical and physicochemical parameters in aqueous samples.