Cell-responsive nanogels for anticancer drug delivery

One of the main goals in Nanomedicine is to create innovative drug delivery systems (DDS) capable of delivering drugs into a specific location with high efficiency. In the development of DDS, some essential properties are desired, such as biocompatibility and biodegradability. Furthermore, an ideal DDS should be able to deliver a drug in a controlled manner and minimize its side effects. These two objectives are still a challenge for researchers all around the world. Nanogels are an excellent vehicle to use in drug delivery and several other applications due to their biocompatibility. They are polymer-based networks, chemically or physically crosslinked, with at least 80-90% water in their composition. Their properties can be tuned, like the nanogel size, multifunctionality and degradability. Nanogels are capable of carrying in their interior bioactive molecules and deliver them into cells. The main objective of this project was to produce nanogels for the delivery of anticancer drugs with the ability of responding to existent stimuli inside cells (cellresponsiveness nanogels) and/or of controlled drug delivery. The nanogels were mainly based on alginate (AG), a natural biopolymer, and prepared using emulsion approaches. After their synthesis, they were used to encapsulate doxorubicin (Dox) which was chosen as a model drug. In the first part of the experimental work, disulfide-linked AG nanogels were prepared and, as expected, were redox-sensitive to a reducing environment like the intracellular medium. In the second part, AG nanogels crosslinked with both calcium ions and cationic poly(amidoamine) dendrimers were developed with improved sustained drug delivery. The prepared nanogels were characterized in terms of size, chemical composition, morphology, and drug delivery behavior (under redox/pH stimuli). The in vitro cytotoxicity of the nanogels was also tested against CAL-72 cells (an osteosarcoma cell line).

An improved and fast UHPLC-PDA methodology for determination of L-ascorbic and dehydroascorbic acids in fruits and vegetables: evaluation of degradation rate during storage

This study provides a versatile validated method to determine the total vitamin C content, as the sum of the contents of L-ascorbic acid (L-AA) and dehydroascorbic acid (DHAA), in several fruits and vegetables and its degradability with storage time. Seven horticultural crops from two different origins were analyzed using an ultrahigh-performance liquid chromatographic–photodiode array (UHPLC-PDA) system, equipped with a new trifunctional high strength silica (100% silica particle) analytical column (100 mm×2.1 mm, 1.7 μm particle size) using 0.1% (v/v) formic acid as mobile phase, in isocratic mode. This new stationary phase, specially designed for polar compounds, overcomes the problems normally encountered in HPLC and is suitable for the analysis of large batches of samples without L-AA degradation. In addition, it proves to be an excellent alternative to conventional C18 columns for the determination of L-AA in fruits and vegetables. The method was fully validated in terms of linearity, detection (LOD) and quantification (LOQ) limits, accuracy, and inter/intraday precision. Validation experiments revealed very good recovery rate of 96.6±4.4% for L-AA and 103.1±4.8 % for total vitamin C, good linearity with r2-values >0.999 within the established concentration range, excellent repeatability (0.5%), and reproducibility (1.6%) values. The LOD of the method was 22 ng/mL whereas the LOQ was 67 ng/mL. It was possible to demonstrate that L-AA and DHAA concentrations in the different horticulture products varied oppositely with time of storage not always affecting the total amount of vitamin C during shelf-life. Locally produced fruits have higher concentrations of vitamin C, compared with imported ones, but vegetables showed the opposite trend. Moreover, this UHPLC-PDA methodology proves to be an improved, simple, and fast approach for determining the total content of vitamin C in various food commodities, with high sensitivity, selectivity, and resolving power within 3 min of run analysis.