Improved production of a recombinant lipase expressed in and its application for conversion of microalgae oil to biodiesel

Part 2: Trust and PrivacyInternational audienceTrust and privacy have been widely studied as key issues and success factors for e-commerce. The advent of m-commerce calls for revisiting these concepts and re-examining their antecedents in the mobile context. This paper attempts a comparative approach to the issues of trust and privacy in e-commerce and m-commerce. It investigates how trust and privacy are differentiated with the shift from the context of e-commerce to the context of m-commerce. Our analysis is supported by the results of an exploratory qualitative study in m-commerce

High sensitivity micro-fiber Mach-Zehnder interferometric temperature sensors with a high index ring layer

The influence of the high index ring layer (HIRL) in a tapered fiber Mach-Zehnder interferometer (MZI) on the interference observed, and thus on its potential applications in temperature sensing, has been investigated. The MZI was comprised of a tapered Ring Core Fiber (RCF), spliced between two single mode fibers (SMF). Since part of core mode from the SMF was converted into cladding modes in the RCF, due to the mismatch in the cores between the RCF and SMF, the residual power enters and then propagates along the center of the RCF (silica). The difference in phase between the radiation travelling along these different paths is separated by the HIRL to generate an interference effect. Compared with fiber interferometers based on core and cladding mode interference, the thin fiber HIRL is capable of separating the high order cladding modes and the silica core mode, under grazing incident conditions. Therefore, the optical path difference (OPD) and the sensitivity are both substantially improved over what is seen in conventional devices, showing their potential for interferometric temperature sensor applications. The optimum temperature sensitivity obtained was 186.6 pm/°C, which is ∼ 11.7 times higher than has been reported previously

Hotspots and frontiers of genetic research on pediatric cataracts from 2013 to 2022: a scientometric analysis

AIM: To explore the hotspots and frontiers of genetic research on pediatric cataracts. METHODS: Global publications from 2013 to 2022 related to genes in pediatric cataracts were extracted from the Web of Science Core Collection, and were analyzed in terms of the publication counts, countries, journals, authors, keywords, cited references, subject categories, and the underlying hotspots and frontiers. RESULTS: Totally 699 publications were included in the final analysis. The predominant actors were identified, with China (n=240) and PLoS One (n=33) being the most productive country and journal respectively. The research hotspots extracted from keywords were crystallin gene mutations, pathogenicity evaluation, phenotypes of ocular and neurodevelopmental abnormalities, genes encoding membrane proteins, and diagnosis of multisystemic disorders. The co-cited articles formed 10 clusters of research topics, including FYCO1 (56 items), mutation screening (43 items), gap junction (29 items), the Warburg Micro syndrome (29 items), ephrin-A5 (28 items), novel mutation (24 items), eye development and function (22 items), cholestanol (7 items), OCRL (6 items), and pathogenicity prediction (3 items). The research frontiers were FYCO1, ephrin-A5, and cholestanol. Cell biology showed the strongest bridging effects among different disciplines in the field (betweenness centrality=0.44). CONCLUSION: With the progress in next-generation sequencing and multidisciplinary collaboration, genetic research on pediatric cataracts broadens the knowledge scope of the crystalline lens, as well as other organs and systems, shedding light on the molecular mechanisms of systemic diseases. Cell biology may integrate multidisciplinary content to address cutting-edge issues in the field

Gelatinase-stimuli strategy enhances the tumor delivery and therapeutic efficacy of docetaxel-loaded poly(ethylene glycol)-poly(ɛ-caprolactone) nanoparticles

Nanoscale drug carriers have been extensively developed to improve drug therapeutic efficiency. However, delivery of chemotherapeutic agents to tumor tissues and cells has not been favorably managed. In this study, we developed a novel “intelligent” nanoparticle, consisting of a gelatinase-cleavage peptide with poly(ethylene glycol) (PEG) and poly(ɛ-caprolactone) (PCL)-based structure for tumor-targeted docetaxel delivery (DOC-TNPs). The docetaxel-loaded PEG-PCL nanoparticles (DOC-NPs) that did not display gelatinase-stimuli behaviors were used as a control. We found clear evidence that the DOC-TNPs were transformed by gelatinases, allowing drug release and enhancing the cellular uptake of DOC (P < 0.01). In vivo biodistribution study demonstrated that targeted DOC-TNPs could accumulate and remain in the tumor regions, whereas non-targeted DOC-NPs rapidly eliminated from the tumor tissues. DOC-TNPs exhibited higher tumor growth suppression than commercialized Taxotere® (docetaxel; Jiangsu Hengrui Medicine Company, Jiangsu, China) and DOC-NPs on hepatic H22 tumor model via intravenous administration (P < 0.01). Both in vitro and in vivo experiments suggest that the gelatinase-mediated nanoscale delivery system is promising for improvement of antitumor efficacy in various overexpressed gelatinase cancers