Fungal xylanases‐mediated synthesis of silver nanoparticles for catalytic and biomedical applications

Green synthesis of nanoparticles has fuelled the use of biomaterials to synthesise a variety of metallic nanoparticles. The current study investigates the use of xylanases of Aspergillus niger L3 (NEA) and Trichoderma longibrachiatum L2 (TEA) to synthesise silver nanoparticles (AgNPs). Characterisation of AgNPs was carried out using UV–Vis spectroscopy, Fourier transform infrared spectroscopy (FTIR), and transmission electron microscopy, while their effectiveness as antimicrobial, antioxidant, catalytic, anticoagulant, and thrombolytic agents were determined. The colloidal AgNPs was brownish with surface plasmon resonance at 402.5 and 410 nm for NEA‐AgNPs and TEA‐AgNPs, respectively; while FTIR indicated that protein molecules were responsible for the capping and stabilisation of the nanoparticles. The spherical nanoparticles had size of 15.21–77.49 nm. The nanoparticles significantly inhibited the growth of tested bacteria (63.20–88.10%) and fungi (82.20–86.10%), and also scavenged DPPH (37.48–79.42%) and hydrogen peroxide (20.50–96.50%). In addition, the AgNPs degraded malachite green (78.97%) and methylene blue (25.30%). Furthermore, the AgNPs displayed excellent anticoagulant and thrombolytic activities using human blood. This study has demonstrated the potential of xylanases to synthesise AgNPs which is to the best of our knowledge the first record of such. The present study underscores the relevance of xylanases in nanobiotechnology.Inspec keywords: visible spectra, catalysis, ultraviolet spectra, silver, microorganisms, antibacterial activity, transmission electron microscopy, surface plasmon resonance, nanoparticles, nanofabrication, colloids, blood, Fourier transform infrared spectra, particle sizeOther keywords: Ag, fungal xylanases‐mediated synthesis, silver nanoparticles, catalytic applications, biomedical applications, green synthesis, metallic nanoparticles, Trichoderma longibrachiatum L2, transmission electron microscopy, antimicrobial agents, antioxidant agents, catalytic agents, thrombolytic agents, surface plasmon resonance, spherical nanoparticles, FTIR spectra, anticoagulant agents, colloidal nanoparticles, biomaterials, Aspergillus niger L3, UV‐vis spectroscopy, Fourier transform infrared spectroscopy, protein molecules, DPPH, hydrogen peroxide, malachite green, methylene blue, human blood, nanobiotechnology     

Availability allocation to repairable systems with genetic algorithms: a multi-objective formulation

This paper describes a methodology based on genetic algorithms (GA) and experiments plan to optimize the availability and the cost of reparable parallel-series systems. It is a NP-hard problem of multi-objective combinatorial optimization, modeled with continuous and discrete variables. By using the weighting technique, the problem is transformed into a single-objective optimization problem whose constraints are then relaxed by the exterior penalty technique. We then propose a search of solution through GA, whose parameters are adjusted using experiments plan technique. A numerical example is used to assess the method.     

Structural reliability assessment based on particles swarm optimization

The PSO algorithm is very efficient to solve global optimization problems with continuous variables. Its use in the structural reliability field presents not only the advantage of its facility of implementation, but also the possibility to obtain the design point and the failure probability with a good accuracy. Several examples of the literature studied in this paper show that the results yielded by PSO are quasi-exact with respect to those yielded by MC and response surface methods. The low computing time of this zero order algorithm is also a great advantage to solve optimization problem. Therefore, this algorithm can be considered as an additional efficient algorithm to those existing in the literature based on gradient method.     

Effects of anticarcinogenic monoterpenes on phase II hepatic metabolizing enzymes

The monocyclic monoterpenoid compounds limonene and sobrerol have anticarcinogenic activity when fed during the initiation stage of dimethylbenz[a]anthracene (DMBA)-induced rat mammary carcinogenesis. Here we investigated the potential roles of hepatic glutathione-S-transferase (GST; EC 2.5.1.18) and uridine diphosphoglucuronosyl transferase (UDPGT; EC 2.4.1.17) in monoterpene-mediated chemoprevention. Diets containing the isoeffective anticarcinogenic terpenes, 5% limonene or 1% sobrerol, elevated hepatic GST activity > 2-fold when measured using the general substrate 1-chloro-2,4-dinitrobenzene and 3,4-dichloronitrobenzene for the GST dimer 3-3. However, there were no significant changes in hepatic GST activity when 1,2-epoxy-3-(p-nitrophenoxy)propane was used. We found that both terpene diets increased GST affinity-purified protein 1.5-fold and the HPLC subunit profile. Liver GST subunit 3 had the greatest increase followed by 1 and 4 with no change in subunit 2. Both terpene diets significantly increased the activity of the methylcholanthrene-inducible and the phenobarbital-inducible UDPGT isozymes. We propose that much of the anticarcinogenic activity of these monocyclic monoterpenes during the initiation phase of DMBA carcinogenesis is mediated through the induction of the hepatic detoxification enzymes GST and UDPGT.     

Reliability allocation through cost minimization

This paper considers the allocation of reliability and redundancy to parallel-series systems, while minimizing the cost of the system. It is proven that under usual conditions satisfied by cost functions, a necessary condition for optimal reliability allocation of parallel-series systems is that the reliability of the redundant components of a given subsystem are identical. An optimal algorithm is proposed to solve this optimization problem. This paper proves that the components in each stage of a parallel-series system must have identical reliability, under some nonrestrictive condition on the component's reliability cost functions. This demonstration provides a firm grounding for what many authors have hitherto taken as a working hypothesis. Using this result, an algorithm, ECAY, is proposed for the design of systems with parallel-series architecture, which allows the allocation of both reliability and redundancy to each subsystem for a target reliability for minimizing the system cost. ECAY has the added advantage of allowing the optimal reliability allocation in a very short time. A benchmark is used to compare the ECAY performance to LM-based algorithms. For a given reliability target, ECAY produced the lowest reliability costs and the optimum redundancy levels in the successive reliability allocation for all cases studied, viz, systems of 4, 5, 6, 7, 8, 9 stages or subsystems. Thus ECAY, as compared with LM-based algorithms, yields a less costly reliability allocation within a reasonable computing time on large systems, and optimizes the weight and space-obstruction in system design throughout an optimal redundancy allocation.