Polytechnic University of Valencia

About: Polytechnic University of Valencia is a education organization based out in Valencia, Spain. It is known for research contribution in the topics: Catalysis & Population. The organization has 16282 authors who have published 40162 publications receiving 850234 citations.

Slot-waveguide biochemical sensor

Abstract: We report an experimental demonstration of an integrated biochemical sensor based on a slot-waveguide microring resonator. The microresonator is fabricated on a Si3N4-SiO2 platform and operates at a wavelength of 1.3 μm. The transmission spectrum of the sensor is measured with different ambient refractive indices ranging from n=1.33 to 1.42. A linear shift of the resonant wavelength with increasing ambient refractive index of 212 nm/refractive index units (RIU) is observed. The sensor detects a minimal refractive index variation of 2×10−4 RIU.

Use of Essential Oils in Bioactive Edible Coatings: A Review

Abstract: Antimicrobial and antioxidant properties of essential oils have previously been extensively reviewed. The mechanisms of action of essential oils have not been clearly identified but they seem to be related with their hydrophobic nature. Applying these natural compounds in the food industry could be a potential alternative, but its application costs and other problems, such as their intense aroma and potential toxicity, limit their use in the area of food preservation. An interesting strategy to reduce doses of essential oils while maintaining their effectiveness could be the incorporation of these natural compounds into edible/biodegradable films. This review discusses the use of essential oils as natural antimicrobial and antioxidant compounds to obtain bioactive films or coatings. The advantages and limitations are also reviewed.

Energy-efficient scheduling for a flexible flow shop using an improved genetic-simulated annealing algorithm

Abstract: The traditional production scheduling problem considers performance indicators such as processing time, cost, and quality as optimization objectives in manufacturing systems; however, it does not take energy consumption or environmental impacts completely into account. Therefore, this paper proposes an energy-efficient model for flexible flow shop scheduling (FFS). First, a mathematical model for a FFS problem, which is based on an energy-efficient mechanism, is described to solve multi-objective optimization. Since FFS is well known as a NP-hard problem, an improved, genetic-simulated annealing algorithm is adopted to make a significant trade-off between the makespan and the total energy consumption to implement a feasible scheduling. Finally, a case study of a production scheduling problem for a metalworking workshop in a plant is simulated. The experimental results show that the relationship between the makespan and the energy consumption may be apparently conflicting. In addition, an energy-saving decision is performed in a feasible scheduling. Using the decision method, there could be significant potential for minimizing energy consumption.