Liposomes

2017 ◽  
pp. 52-87
Author(s):  
Mangal Shailesh Nagarsenker ◽  
Megha Sunil Marwah
Keyword(s):  
Quality Control ◽  
Large Scale ◽  
Clinical Success ◽  
Scale Production ◽  
Large Scale Production ◽  
Diagnostic Applications ◽  
Set Up ◽  
Insight Into ◽  
Characterisation Techniques

The science of liposomes has expanded in ambit from bench to clinic through industrial production in thirty years since the naissance of the concept. This chapter makes an attempt to bring to light the impregnable contributions of great researchers in the field of liposomology that has witnessed clinical success in the recent times. The journey which began in 1965 with the observations of Bangham and further advances made en route (targeting/stealthing of liposomes) along with alternative and potential liposome forming amphiphiles has been highlighted in this chapter. The authors have also summarised the conventional and novel industrially feasible methods used to formulate liposomes in addition to characterisation techniques which have been used to set up quality control standards for large scale production. Besides, the authors have provided with an overview of primary therapeutic and diagnostic applications and a brief insight into the in vivo behaviour of liposomes.

The Research of Production Process Statistical Steady-State Based on the Hypothesis Test

2011 ◽  
Vol 314-316 ◽  
pp. 2433-2438
Author(s):  
Wei Zhi Wang
Keyword(s):  
Quality Control ◽  
Steady State ◽  
Production Process ◽  
Quantitative Method ◽  
Large Scale ◽  
Hypothesis Test ◽  
Influence Factors ◽  
Normal Operation ◽  
Scale Production ◽  
Large Scale Production

By only applying a after the event exam in the quality control of the batch production is not enough to meet the needs of modern large-scale production. To a certain extent, modern quality control is a dynamic process of the steady-state judge and adjustment. A simple and reliable steady-state judge rule and method is the premise to guarantee the normal operation. This paper provides a quantitative method to evaluate production process steady-state by analyzing influence factors based on mathematical statistics. The method is both suitable for simple production process and complex production process with sub-processes.

scholarly journals Production of Phytotoxic Metabolite Using Biphasic Fermentation System from Strain C1136 of Lasiodiplodia pseudotheobromae, a Potential Bioherbicidal Agent

2017 ◽  
Vol 9 (3) ◽  
pp. 371-377
Author(s):  
Charles Oluwaseun ADETUNJI ◽  
Julius Kola OLOKE ◽  
Gandham PRASAD ◽  
Moses ABALAKA ◽  
Emenike Onyebum IROKANULO
Keyword(s):  
Large Scale ◽  
Wild Strain ◽  
Fermentation Medium ◽  
Scale Production ◽  
Conventional Farming ◽  
Large Scale Production ◽  
Phytotoxic Metabolite ◽  
Biphasic Fermentation

Formulation of effective and environmental friendly bioherbicides depends on the type of fermentation medium used for the production of phytotoxic metabolites. The effect of biomass, colony forming unit and the phytotoxic metabolite produced from the biphasic fermentation was carried out, while the phytotoxic metabolite was  tested in vivo and in-vitro on Echinochola crus-galli and dicotyledonous Chromolaena odorata. The mutant strain of Lasiodiplodia pseudotheobromae C1136 (Lp90) produced the highest amount of conidia and the largest necrotic area on the two tested weeds when compared to its wild strain in the different biphasic media combinations. The study revealed that the biphasic system containing PDB + rice produced the highest bioherbicidal activities. Therefore, the phytotoxic metabolites from strain C1136 are suggested for large scale production of bioherbicides for the management of weeds in conventional farming to improve yield and enhance food security.

scholarly journals PyMethylProcess—convenient high-throughput preprocessing workflow for DNA methylation data

2019 ◽  
Vol 35 (24) ◽  
pp. 5379-5381 ◽  
Author(s):  
Joshua J Levy ◽  
Alexander J Titus ◽  
Lucas A Salas ◽  
Brock C Christensen
Keyword(s):  
Large Scale ◽  
Supplementary Information ◽  
Scale Production ◽  
Methylation Data ◽  
Supplementary Data ◽  
Data Preparation ◽  
Methylation Array ◽  
Project Home Page ◽  
Large Scale Production ◽  
Set Up

Abstract Summary Performing highly parallelized preprocessing of methylation array data using Python can accelerate data preparation for downstream methylation analyses, including large scale production-ready machine learning pipelines. We present a highly reproducible, scalable pipeline (PyMethylProcess) that can be quickly set-up and deployed through Docker and PIP. Availability and implementation Project Home Page: https://github.com/Christensen-Lab-Dartmouth/PyMethylProcess. Available on PyPI (pymethylprocess), Docker (joshualevy44/pymethylprocess). Supplementary information Supplementary data are available at Bioinformatics online.

Raman spectroscopy in pharmaceutical research and industry

2018 ◽  
Vol 3 (8) ◽  
Author(s):  
Nathalie Jung ◽  
Maike Windbergs
Keyword(s):  
Drug Delivery ◽  
Raman Spectroscopy ◽  
Quality Control ◽  
Drug Delivery Systems ◽  
Large Scale ◽  
Pharmaceutical Research ◽  
Delivery Systems ◽  
Scale Production ◽  
Non Invasive ◽  
Large Scale Production

Abstract In the fast-developing fields of pharmaceutical research and industry, the implementation of Raman spectroscopy and related technologies has been very well received due to the combination of chemical selectivity and the option for non-invasive analysis of samples. This chapter explores established and potential applications of Raman spectroscopy, confocal Raman microscopy and related techniques from the early stages of drug development research up to the implementation of these techniques in process analytical technology (PAT) concepts for large-scale production in the pharmaceutical industry. Within this chapter, the implementation of Raman spectroscopy in the process of selection and optimisation of active pharmaceutical ingredients (APIs) and investigation of the interaction with excipients is described. Going beyond the scope of early drug development, the reader is introduced to the use of Raman techniques for the characterization of complex drug delivery systems, highlighting the technical requirements and describing the analysis of qualitative and quantitative composition as well as spatial component distribution within these pharmaceutical systems. Further, the reader is introduced to the application of Raman techniques for performance testing of drug delivery systems addressing drug release kinetics and interactions with biological systems ranging from single cells up to complex tissues. In the last part of this chapter, the advantages and recent developments of integrating Raman technologies into PAT processes for solid drug delivery systems and biologically derived pharmaceutics are discussed, demonstrating the impact of the technique on current quality control standards in industrial production and providing good prospects for future developments in the field of quality control at the terminal part of the supply chain and various other fields like individualized medicine. On the way from the active drug molecule (API) in the research laboratory to the marketed medicine in the pharmacy, therapeutic efficacy of the active molecule and safety of the final medicine for the patient are of utmost importance. For each step, strict regulatory requirements apply which demand for suitable analytical techniques to acquire robust data to understand and control design, manufacturing and industrial large-scale production of medicines. In this context, Raman spectroscopy has come to the fore due to the combination of chemical selectivity and the option for non-invasive analysis of samples. Following the technical advancements in Raman equipment and analysis software, Raman spectroscopy and microscopy proofed to be valuable methods with versatile applications in pharmaceutical research and industry, starting from the analysis of single drug molecules as well as complex multi-component formulations up to automatized quality control during industrial production.

Construction and Expression of Mouse-human Chimeric Antibody SZ-51 Specific for Activated Platelet P-selectin

1997 ◽  
Vol 77 (04) ◽  
pp. 755-759 ◽  
Author(s):  
Jianming Gu ◽  
Yue Liu ◽  
Lijun Xia ◽  
Haiying Wan ◽  
Peixia Li ◽  
...  
Keyword(s):  
Large Scale ◽  
Variable Region ◽  
Expression Vectors ◽  
Chimeric Antibody ◽  
Scale Production ◽  
Fab Fragment ◽  
Variable Regions ◽  
E Coli ◽  
Large Scale Production

SummaryA murine monoclonal (mAb) SZ-51 specific for human P-selectin may be used for in vivo thrombus imaging and for the targeting of fibrinolytic agents to thrombi. In order to reduce the immunogenicity of the murine mAb SZ-51 in humans, we cloned and sequenced the cDNAs encoding the variable region of mAb SZ-51 in order to develop mouse/human chimeric reagents. The E. coli expression vector. pHENl-SZ51 Fab/Hu was constructed by fusing the variable regions of mAb SZ-51 with human IgG γICHI and Cκ genes. The constructs were introduced into E. coli HB2151 for expression of soluble chimeric Fab fragment. We also constructed two fusion products by joining the variable regions of mouse antibody to the appropriate constant regions of human Igγl and κ. These chimeras were cloned into two eukaryotic selectable expression vectors separately, which were then cotransfected into a non-Ig secreting murine myeloma line SP2/0 with lipofectin reagent. Six cell lines remained positive for Ig secretion. The highest producing cell line, which showed stable integration and expression at 5 mg/1 of culture, was selected for the large scale production of chimeric antibody. Immunoblotting analysis demonstrated that both of the chimeric antibodies (SZ51Fab/Hu, SZ51/Hu) in the culture supernatants, like the native mAb SZ-51, bind P-selectin. In addition, the whole chimeric antibody can compete for binding to activated platelets with murine SZ-51. Therefore, the SZ-51 chimeric antibody may be a potential agent for diagnosis and treatment of thrombotic diseases in the future.

scholarly journals A Proposal for Six Sigma Integration for Large-Scale Production of Penicillin G and Subsequent Conversion to 6-APA

2014 ◽  
Vol 2014 ◽  
pp. 1-10 ◽  
Author(s):  
Anirban Nandi ◽  
Sharadwata Pan ◽  
Ravichandra Potumarthi ◽  
Michael K. Danquah ◽  
Indira P. Sarethy
Keyword(s):  
Quality Control ◽  
Quality Assurance ◽  
Six Sigma ◽  
Mass Production ◽  
Large Scale ◽  
Penicillin G ◽  
Scale Production ◽  
Large Scale Production ◽  
Subsequent Conversion ◽  
Six Sigma Methodology

Six Sigma methodology has been successfully applied to daily operations by several leading global private firms including GE and Motorola, to leverage their net profits. Comparatively, limited studies have been conducted to find out whether this highly successful methodology can be applied to research and development (R&D). In the current study, we have reviewed and proposed a process for a probable integration of Six Sigma methodology to large-scale production of Penicillin G and its subsequent conversion to 6-aminopenicillanic acid (6-APA). It is anticipated that the important aspects of quality control and quality assurance will highly benefit from the integration of Six Sigma methodology in mass production of Penicillin G and/or its conversion to 6-APA.

scholarly journals Biochemical assessment of in vitro and in vivo culture of Tylophora indica (Burm. F.) Merr

1970 ◽  
Vol 6 (2) ◽  
pp. 1-5
Author(s):  
Antaryami Kaushik ◽  
Chandra Gurnani ◽  
Shyam Sunder ◽  
Abha Dhingra ◽  
Vikram Chimpa
Keyword(s):  
Large Scale ◽  
Basal Medium ◽  
Nodal Segments ◽  
Scale Production ◽  
Tylophora Indica ◽  
Shoot Initiation ◽  
Large Scale Production ◽  
Chlorophyll Protein

Tylophora indica (Burm. F.) Merr is an endangered plant which can be protected from extinction by its large scale production. Nodal segments of healthy plants are used as explants and cultured on MS Basal medium fortified with different growth regulators. Optimum shoot induction conditions from explants were established. In vitro and in vivo phytochemical test were done by using standard methods for chlorophyll, carbohydrates, proteins, lipids and starch. 3mg/l 2, 4 D showed maximum and success full callus production. Shoot initiation started in 7 days and best shoot regeneration reported with 3 mg/ml BAP in Basal medium. Combination of IBA and NAA in concentration 2 and 4 mg/l respectively proved to be best for root initiation. Concentration of chlorophyll, protein, lipid, carbohydrate, and starch in vitro and in vivo culture are investigated. DOI: 10.3126/kuset.v6i2.4005Kathmandu University Journal of Science, Engineering and Technology Vol.6. No II, November, 2010, pp.1-5

A Review on Zinc Oxide Nanostructures: Doping and Gas Sensing

2013 ◽  
Vol 667 ◽  
pp. 329-332 ◽  
Author(s):  
A.N. Afaah ◽  
Zuraida Khusaimi ◽  
Mohamad Rusop
Keyword(s):  
Large Scale ◽  
Carrier Transport ◽  
Gas Sensing ◽  
Low Cost ◽  
Scale Production ◽  
Zno Nanostructures ◽  
Zinc Oxide Nanostructures ◽  
Oxide Nanostructures ◽  
Large Scale Production ◽  
Set Up

This paper presents a review on synthesis, structure, and growth mechanisms of one-dimensional nanostructures of ZnO. Solution-based method is a potential deposition technique for large-scale production as its advantages; the low cost, the simplicity of experimental set-up, and the low operating temperature. Mist-atomiser technique is one of the solution-based methods in synthesizing optimized ZnO nanostructures. Doping will lead for better properties of ZnO, which result to wide application area. Nanostructured ZnO is important in promising areas of application which devices utilizing nanostructures such as gas sensors and solar cells, since it is fairly easy to fabricate such forms of ZnO nanostructures, which have good charge carrier transport properties and high crystalline quality.

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