Development of multipurpose sunscreen for the sensitive areas of the face and design of the manufacturing process

Treballs Finals de Grau d'Enginyeria Química, Facultat de Química, Universitat de Barcelona, Curs: 2022-2023, Tutora: Alicia Maestro GarrigaThe limited availability of sunscreens for the sensitive areas of the face led to the development of sunscreens for eye contour (eye cream sunscreen) and lips (lip sunscreen), followed by the design of their manufacturing process. It was encouraged by the growth of the sun protection market, due to the increasing awareness of risks related to sun exposure, which are of special importance in the eye contour and lips, as these are areas with less protection capability. For this reason, the market trends were identified through market analysis and bibliographic search, allowing the identification of consumer needs, which resulted in the development of broad-spectrum sunscreens with sun protection factor 50 that moisturize and soothe the skin, providing an enhancing effect that enables layering with makeup, and, in the case of the lip sunscreen, giving a nude color that lasts a minimum of 2 hours; additionally, environmentally friendly packaging were designed, with refillable containers made of bamboo, recycled plastic, and aluminium. According to these needs, the quality factors and their performance indices were defined, whereby the eye cream sunscreen would be a pseudoplastic oil-in-water nanoemulsion with low eye-stinging ability, and the lip sunscreen would be a water-in-oil emulsion-based suspension with thixotropic behaviour, solid-like at room temperature, with a pleasant taste and smell. UV filters, humectants, and emollients were chosen as active ingredients to meet the quality factors, they were specified in terms of concentration and characteristics of each, and subsequently, their manufacturing processes were designed by selecting equipment and establishing batches of 150 kg of each product, with 2 batches per year for the eye cream sunscreen and 4 batches for the lip sunscree

Monitoring aggregation processes in multiphase systems: a review

Particle aggregation is essential in many industrial processes, spanning the pharmaceutical and food industries, polymer production, and the environment, among others. However, aggregation can also occur, in some processes, as a non-desired side effect. Thus, to be able to monitor aggregation in industrial processes is of high importance to guarantee that the final, required product characteristics are obtained. In this paper, we present an extensive review of the different techniques available for monitoring particle characteristics in industrial processes involving particulate materials, with special emphasis on aggregation processes. These methods include both off-line and on-line techniques, based either on image acquisition techniques or different radiation scattering techniques (light-scattering and ultrasound spectroscopy). The principles behind each technique are addressed, together with their relevant applications, advantages, and disadvantages

Simulation of site-specific irrigation control strategies with sparse input data

Crop and irrigation water use efficiencies may be improved by managing irrigation application timing and volumes using physical and agronomic principles. However, the crop water requirement may be spatially variable due to different soil properties and genetic variations in the crop across the field. Adaptive control strategies can be used to locally control water applications in response to in-field temporal and spatial variability with the aim of maximising both crop development and water use efficiency. A simulation framework ‘VARIwise’ has been created to aid the development, evaluation and management of spatially and temporally varied adaptive irrigation control strategies (McCarthy et al., 2010). VARIwise enables alternative control strategies to be simulated with different crop and environmental conditions and at a range of spatial resolutions. An iterative learning controller and model predictive controller have been implemented in VARIwise to improve the irrigation of cotton. The iterative learning control strategy involves using the soil moisture response to the previous irrigation volume to adjust the applied irrigation volume applied at the next irrigation event. For field implementation this controller has low data requirements as only soil moisture data is required after each irrigation event. In contrast, a model predictive controller has high data requirements as measured soil and plant data are required at a high spatial resolution in a field implementation. Model predictive control involves using a calibrated model to determine the irrigation application and/or timing which results in the highest predicted yield or water use efficiency. The implementation of these strategies is described and a case study is presented to demonstrate the operation of the strategies with various levels of data availability. It is concluded that in situations of sparse data, the iterative learning controller performs significantly better than a model predictive controller

Air pollution and livestock production

The air in a livestock farming environment contains high concentrations of dust particles and gaseous pollutants. The total inhalable dust can enter the nose and mouth during normal breathing and the thoracic dust can reach into the lungs. However, it is the respirable dust particles that can penetrate further into the gas-exchange region, making it the most hazardous dust component. Prolonged exposure to high concentrations of dust particles can lead to respiratory health issues for both livestock and farming staff. Ammonia, an example of a gaseous pollutant, is derived from the decomposition of nitrous compounds. Increased exposure to ammonia may also have an effect on the health of humans and livestock. There are a number of technologies available to ensure exposure to these pollutants is minimised. Through proactive means, (the optimal design and management of livestock buildings) air quality can be improved to reduce the likelihood of risks associated with sub-optimal air quality. Once air problems have taken hold, other reduction methods need to be applied utilising a more reactive approach. A key requirement for the control of concentration and exposure of airborne pollutants to an acceptable level is to be able to conduct real-time measurements of these pollutants. This paper provides a review of airborne pollution including methods to both measure and control the concentration of pollutants in livestock buildings

Predictive performance of front-loaded experimentation strategies in pharmaceutical discovery: a Bayesian perspective

Experimentation is a significant innovation process activity and its design is fundamental to the learning and knowledge build-up process. Front-loaded experimentation is known as a strategy seeking to improve innovation process performance; by exploiting early information to spot and solve problems as upstream as possible, costly overruns in subsequent product development are avoided. Although the value of search through front-loaded experimentation in complex and novel environments is recognized, the phenomenon has not been studied in the highly relevant pharmaceutical R&D context, where typically lots of drug candidates get killed very late in the innovation process when potential problems are insufficiently anticipated upfront. In pharmaceutical research the initial problem is to discover a “drug-like” complex biological or chemical system that has the potential to affect a biological target on a disease pathway. My case study evidence found that the discovery process is managed through a front-loaded experimentation strategy. The research team gradually builds a mental model of the drug’s action in which the solution of critical design problems can be initiated at various moments in the innovation process. The purpose of this research was to evaluate the predictive performance of frontloaded experimentation strategies in the discovery process. Because predictive performance necessitates conditional probability thinking, a Bayesian methodology is proposed and a rationale is given to develop research propositions using Monte Carlo simulation. An adaptive system paradigm, then, is the basis for designing the simulation model used for top-down theory development. My simulation results indicate that front-loaded strategies in a pharmaceutical discovery context outperform other strategies on positive predictive performance. Frontloaded strategies therefore increase the odds for compounds succeeding subsequent development testing, provided they were found positive in discovery. Also, increasing the number of parallel concept explorations in discovery influences significantly the negative predictive performance of experimentation strategies, reducing the probability of missed opportunities in development. These results are shown to be robust for varying degrees of predictability of the discovery process. The counterintuitive business implication of my research findings is that the key to further reduce spend and overruns in pharmaceutical development is to be found in discovery, where efforts to better understand drug candidates lead to higher success rates later in the innovation process

Statistical optimisation of a terbinafine-containing cream

Terbinafine hydrochloride (TBH) belongs to the allylamine class of antifungals and displays a favourable dermatopharmacokinetic profile, being both lipophilic and keratinophilic. It has thus been included in a variety of topical dosage forms for the treatment of dermatomycoses, many of which have been the subject of optimisation studies, with the purpose of improving the product. Since a TBH-containing cream had not been found in literature to have been optimised before, the aim of this study was to optimise a TBH cream formulation. A TBH cream formulation, suitable for optimisation, was developed. Preformulation tests were undertaken, including active-excipient compatibility testing using a combined thermal method consisting of both differential scanning calorimetry (DSC) and thermogravimetric analysis (TGA), as well as isothermal stress testing (IST). With the confirmation of the suitability of the selected excipients, development of a suitable TBH cream took place largely by a trial-and-error approach. The choice of a suitable formulation was made based on the physical appearance and viscosity of the cream, for which a viscosity specification was set. The identified TBH cream formulation was evaluated for its physical appearance and physicochemical aspects to confirm its appropriateness for the purpose of further optimisation. Based on literature and observations from the preformulation and formulation stage, factors and responses for study during the optimisation stage were identified to study using a circumscribed central composite design (CCCD) at five levels (-1.612, -1, 0, +1, +1.612). Total percentage of surfactant (TPS), homogenisation speed (HS) and cooling rate (CR), were selected as factors to study their influence on cream viscosity, in vitro TBH release from the cream, as well as the chemical stability of TBH within the cream formulation. Following the application of stepwise multiple linear regression to the mathematical models, a suitable prediction model was only obtained for one response, cream viscosity at a shear rate of 20 s-1. A linear model was also found to fit the data for % in vitro TBH release after one hour, although a low R2 of 0.497 made the model unsuitable for prediction purposes. No mathematical model could be fit to the results for the response assessing the change in TBH concentration following seven days’ storage at accelerated stability conditions. The determination of the optimum TBH cream formulation was made chiefly on the basis of the results for cream viscosity and the optimised formulation was identified to have a predicted viscosity of 8.33 Pa.s and the factor settings to obtain this cream were a CR of 1.3 °C/min, HS set at 3400 rpm, and TPS of 4.2 %. Validation of the optimised TBH cream formulation was performed for cream viscosity at a shear rate of 20 s-1 and revealed that there was good agreement between the measured and predicted viscosity values. The optimised TBH cream underwent rheological characterisation and was compared to the innovator, Lamisil® cream, with both creams found to meet the desirable rheological profile. In vitro release testing (IVRT) was used to compare the release of TBH from the optimised TBH cream and Lamisil® cream, and the optimised TBH cream was found to show much greater TBH release over a six-hour time period than Lamisil® cream. Stability testing of the optimised TBH cream took place at accelerated stability testing conditions of 40 °C ± 2 °C and 75 ± 5 % relative humidity (RH). To assay the formulation and determine content uniformity over the three-month storage period, a suitable stability-indicating reversed-phase high performance liquid chromatography (RP-HPLC) method was developed and validated. Other cream properties which were tested included: qualitative aspects, viscosity, pH and microbial limits. At the end of the three-month stability testing period, the cream was found to meet most of the specifications set, except for cream homogeneity and viscosity. A TBH cream formulation was thus developed and optimised to meet a certain viscosity specification. Although this formulation was found to meet the viscosity specification on the day after its manufacture, the viscosity was found to increase on storage, such that it was outside the set viscosity specification range

The NASA SBIR product catalog

The purpose of this catalog is to assist small business firms in making the community aware of products emerging from their efforts in the Small Business Innovation Research (SBIR) program. It contains descriptions of some products that have advanced into Phase 3 and others that are identified as prospective products. Both lists of products in this catalog are based on information supplied by NASA SBIR contractors in responding to an invitation to be represented in this document. Generally, all products suggested by the small firms were included in order to meet the goals of information exchange for SBIR results. Of the 444 SBIR contractors NASA queried, 137 provided information on 219 products. The catalog presents the product information in the technology areas listed in the table of contents. Within each area, the products are listed in alphabetical order by product name and are given identifying numbers. Also included is an alphabetical listing of the companies that have products described. This listing cross-references the product list and provides information on the business activity of each firm. In addition, there are three indexes: one a list of firms by states, one that lists the products according to NASA Centers that managed the SBIR projects, and one that lists the products by the relevant Technical Topics utilized in NASA's annual program solicitation under which each SBIR project was selected

BRNS Sponsored National Symposium: Radiotracer Techniques: Improve Nutritional Status and Health of Animals and Plants

BRNS Sponsored National Symposium on "Radiotracer Techniques: Improve Nutritional Status and Health of Animals and Plants"  Organized By: Chameli Devi Institute of Pharmacy, Indore Saturday, 1st February 202