LCA Software tool for corrugated board

FEFCO, Groupement Ondulé and Kraft Institute have integrated the data from their recently published updated “European Database for Corrugated Board Life Cycle Studies” into a software tool that has been developed especially for the corrugated board industry. The tool links input and output data reported in the Database to average European data for upstream and downstream processes from BUWAL 250 [3]. The tool is intended to support environmental management of companies since it provides a possibility to find opportunities for improvements and to take environment into consideration when designing corrugated board boxes. The entire system of corrugated packaging is the basis for the calculations. It is assumed that the fibres that are used for the production of the corrugated base papers are produced and recycled only within this system. This simplified so-called closedloop approach, which is described in detail in the Database report, avoids the problem of allocating impacts caused by primary fibre production and the final treatment of corrugated packaging that is not recycled between primary and recovered fibre based paper grades. This means that with the software tool it is not possible to make comparisons between the production of primary fibre and recovered fibre based materials as such. The tool enables the user to vary parameters such as transport, box design, logistics and waste management according to his personal circumstances. In this way he can use the tool to introduce parameters for possible alternatives he wants to investigate. The LCA results of these alternative cases can then be compared and analysed at inventory, characterisation, normalisation and weighing level. The user cannot change the basic data nor the methodology.     

Cloning strategy for producing brush-forming protein-based polymers

Brush-forming polymers are being used in a variety of applications, and by using recombinant DNA technology, there exists the potential to produce protein-based polymers that incorporate unique structures and functions in these brush layers. Despite this potential, production of protein-based brush-forming polymers is not routinely performed. For the design and production of new protein-based polymers with optimal brush-forming properties, it would be desirable to have a cloning strategy that allows an iterative approach wherein the protein based-polymer product can be produced and evaluated, and then if necessary, it can be sequentially modified in a controlled manner to obtain optimal surface density and brush extension. In this work, we report on the development of a cloning strategy intended for the production of protein-based brush-forming polymers. This strategy is based on the assembly of modules of DNA that encode for blocks of protein-based polymers into a commercially available expression vector; there is no need for custom-modified vectors and no need for intermediate cloning vectors. Additionally, because the design of new protein-based biopolymers can be an iterative process, our method enables sequential modification of a protein-based polymer product. With at least 21 bacterial expression vectors and 11 yeast expression vectors compatible with this strategy, there are a number of options available for production of protein-based polymers. It is our intent that this strategy will aid in advancing the production of protein-based brush-forming polymers.     

Small RNA sequences are readily stabilized by inclusion in a carrier rRNA

This laboratory previously showed that an RNA derived from 5S ribosomal RNA could be used as a carrier to harbor a nucleic acid "tag" for monitoring genetically engineered or naturally occurring bacteria. The prototype system expressed a specific tagged RNA that was stable and accumulated to high levels. For such a system to be useful there should, however, be little limitation on the sequence composition and length of the insert. To test these limitations, a collection of insertion sequences were created and introduced into the artificial 5S rRNA cassette. This library consisted of random 13- and 50-base oligonucleotides that were inserted into the carrier RNA. We report here that essentially all of the insert-containing RNAs are stable and accumulate to detectable levels. Tagged RNAs were produced by both plasmid-borne and chromosomally integrated expression systems in E. coli and several Pseudomonas strains without obvious effect on the host cell. It is anticipated that in addition to its intended use in environmental monitoring, this system can be used for in vivo selection of useful artificial RNAs. Because the carrier lends stability to the RNAs, the system may also be useful in RNA production.     

Assessment of metabolic properties and kinetic parameters of methanogenic sludge by on-line methane production rate measurements

This report presents a new approach to studying the metabolic and kinetic properties of anaerobic sludge from single batch experiments. The two main features of the method are that the methane production is measured on-line with a relatively cheap system, and that the methane production data can be plotted as rate vs time curves. The case studies of specific methanogenic activity, biodegradability and toxicity tests here presented show that very accurate kinetic data can be obtained. The method is specifically useful in experiments in which strong changes in methane production occur, and it is proposed as a powerful tool to study methanogenic systems. Furthermore, the method is simple and could be implemented by industry in the routine analysis of sludge.     

High-throughput Protein Production for X-ray Crystallography and Use of Size Exclusion Chromatography to Validate or Refute Computational Biological Unit Predictions

The production of large numbers of highly purified proteins for X-ray crystallography is a significant bottleneck in structural genomics. At the Joint Center for Structural Genomics (JCSG; http://www.jcsg.org), specific automated protein expression, purification, and analytical methods are being utilized to study the proteome of Thermotoga maritima. Anion exchange and size exclusion chromatography (SEC), intended for the production of highly purified proteins, have been automated and the procedures are described here in detail. Analytical SEC has been included as a standard quality control test. A biological unit (BU) is the macromolecule that has been proven or is presumed to be functional. Correct assignment of BUs from protein structures can be difficult. BU predictions obtained via the Protein Quaternary Structure file server (PQS; http://pqs.ebi.ac.uk/) were compared to SEC data for 16 representative T. maritima proteins whose structures were solved at the JCSG, revealing an inconsistency in five cases. Herein, we report that SEC can be used to validate or disprove PQS-derived oligomeric models. A substantial amount of associated SEC and structural data should enable us to use certain PQS parameters to gauge the accuracy of these computational models and to generally improve their predictions.     

A Bayesian functional data model for surveys collected under informative sampling with application to mortality estimation using NHANES

Functional data are often extremely high-dimensional and exhibit strong dependence structures but can often prove valuable for both prediction and inference. The literature on functional data analysis is well developed; however, there has been very little work involving functional data in complex survey settings. Motivated by physical activity monitor data from the National Health and Nutrition Examination Survey (NHANES), we develop a Bayesian model for functional covariates that can properly account for the survey design. Our approach is intended for non-Gaussian data and can be applied in multivariate settings. In addition, we make use of a variety of Bayesian modeling techniques to ensure that the model is fit in a computationally efficient manner. We illustrate the value of our approach through two simulation studies as well as an example of mortality estimation using NHANES data.     

Plants as bioreactors for protein production: avoiding the problem of transgene silencing

Plants are particularly attractive as large-scale production systems for proteins intended for therapeutical or industrial applications: they can be grown easily and inexpensively in large quantities that can be harvested and processed with the available agronomic infrastructures. The effective use of plants as bioreactors depends on the possibility of obtaining high protein accumulation levels that are stable during the life cycle of the transgenic plant and in subsequent generations. Silencing of the introduced transgenes has frequently been observed in plants, constituting a major commercial risk and hampering the general economic exploitation of plants as protein factories. Until now, the most efficient strategy to avoid transgene silencing involves careful design of the transgene construct and thorough analysis of transformants at the molecular level. Here, we focus on different aspects of the generation of transgenic plants intended for protein production and on their influence on the stability of heterologous gene expression.These authors contributed equally to this work     

Production of exopolysaccharides by Agrobacterium sp. CFR-24 using coconut water - a byproduct of food industry

AIMS: The work is intended to explore the suitability of underutilized coconut water (a byproduct of food industry) for the production of exopolysaccharides (EPS) by Agrobacterium sp. CFR 24. METHODS AND RESULTS: Besides checking the suitability of coconut water for the production of water-soluble (WS) and water-insoluble (WIS) EPS, certain fermentation parameters, such as initial pH, incubation period and kinetics of EPS production were investigated. The coconut water medium was found to support the production of both types of EPS. The optimal initial pH and temperature was found to be 6.0 and 30 degrees C, respectively. In shake flask (150 rev min(-1)) studies, high-cell density inoculum resulted in the production of 11.50 g l(-1) of WIS-EPS and 4.01 g l(-1) WS-EPS after 72 and 96 h of fermentation, respectively. CONCLUSIONS: Coconut water was found suitable for the production of microbial EPS by Agrobacterium sp. CFR 24 strain. Under optimum conditions, it produced a good amount of WIS-EPS, which is comparable with that of the sucrose medium (11 g l(-1)). SIGNIFICANCE AND IMPACT OF THE STUDY: This is the first report on the use of coconut water as a fermentation medium for the production of any microbial EPS. Besides producing value-added products, use of this food industry byproduct, which is often being drained out, can significantly reduce the problem of environmental pollution.     

Modeling of laser coagulation of tissue with MRI temperature monitoring

Light energy from a laser source that is delivered into body tissue via a fiber-optic probe with minimal invasiveness has been used to ablate solid tumors. This thermal coagulation process can be guided and monitored accurately by continuous magnetic resonance imaging (MRI) since the laser energy delivery system does not interfere with MRI. This report deals with mathematical modeling and analysis of laser coagulation of tissue. This model is intended for "real-time" analysis of magnetic resonance images obtained during the coagulation process to guide clinical treatment. A mathematical model is developed to simulate the thermal response of tissue to a laser light heating source. For fast simulation, an approximate solution of the thermal model is used to predict the dynamics of temperature distribution and tissue damage induced by a laser energy line source. The validity of these simulations is tested by comparison with MRI-based temperature data acquired from in vivo experiments in rabbits. The model-simulated temperature distribution and predicted lesion dynamics correspond closely with MRI-based data. These results demonstrate the potential for using this combination of fast modeling and MRI technologies during laser heating of tissue for online prediction of tumor lesion size during laser heating.     

Numerical simulation of a glucose sensitive composite membrane closed-loop insulin delivery system

Closed-loop insulin delivery system works on pH modulation by gluconic acid production from glucose, which in turn allows regulation of insulin release across membrane. Typically, the concentration variation of gluconic acid can be numerically modeled by a set of non-linear, non-steady state reaction diffusion equations. Here, we report a simpler numerical approach to time and position dependent diffusivity of species using finite difference and differential quadrature (DQ) method. The results are comparable to that obtained by analytical method. The membrane thickness directly determines the concentrations of the glucose and oxygen in the system, and inversely to the gluconic acid. The advantage with the DQ method is that its parameter values need not be altered throughout the analysis to obtain the concentration profiles of the glucose, oxygen and gluconic acid. Our work would be useful for modeling diabetes and other systems governed by such non-linear and non-steady state reaction diffusion equations.     

A scalable life cycle inventory of an automotive power electronic inverter unit—part II: manufacturing processes

Purpose

A scalable life cycle inventory (LCI) model, which provides mass composition and gate-to-gate manufacturing data for a power electronic inverter unit intended for controlling electric vehicle propulsion motors, was developed. The purpose is to fill existing data gaps for life cycle assessment (LCA) of electric vehicles. The model comprises new and easy-to-use data with sufficient level of detail to enable proper component scaling and in-depth analysis of inverter units. The aim of this article (part II) is to describe the modeling of all production steps and present new datasets. Another objective is to explain the strategies for data collection, system boundaries, and how unit process datasets were made to interact properly with the scalable design model (part I).

Methods

Data for the manufacturing of the inverter unit was collected from a variety of literature, technical specifications, factory data, site visits, and expert interviews. The model represents current levels of technology and modern industrial scale production. Industry data dates back to 2012. Some older literature is referred to, but only if it was found to remain relevant. Upstream, new data has been gathered to the point where the Ecoinvent database can be used to model a full cradle-to-gate inventory. To make the LCI model easy to use, each flow crossing the system boundary is reported with a recommended linked flow to this database.

Results and discussion

The screening and modeling of manufacturing inverter units resulted in a substantial compilation of new inventory data. In close integration with the design model, which is scalable in size over a range of 20–200 kW in nominal power and 250–700 V in DC system voltage (part I), it forms a comprehensive scalable LCI model of a typical automotive power electronic inverter unit intended for traction motor control. New production data covers electroplating of gold, electro-galvanization, machining and anodizing of aluminum, ceramic substrate fabrication, direct copper bonding, photoimaging and regenerative etching, power module assembly with a two-step soldering process, and the assembly of automotive printed circuit boards.

Conclusions

Interviews with experts were found to be vital for effective data collection and the reporting of details a key to maintaining data usability over time, for reuse, rework, and criticism by other LCA practitioners.

     

A model of the peripheral auditory system

Summary Recent electrophysiological data obtained from auditory nerve fibers of cats have made possible the formulation of a model of the peripheral auditory system that relates the all-or-none activity of these fibers to acoustic stimulation. The components of the model are intended to represent the major functional components of the peripheral system. These components are: (i) a linear mechanical system intended to represent the outer, middle, and mechanical parts of the inner ear; (ii) a transducer intended to represent the action of the sensory cells; and (iii) a model neuron whose properties are intended to represent the nerve excitation process. A general-purpose digital computer has been used to determine the response of the model to a variety of acoustic stimuli. These results have been compared with data obtained from auditory nerve fibers.This work was supported in part by the Joint Services Electronics Program (Contract DA 36-039-AMC-03200(E); and in part by the National Science Foundation (Grant GP-2495), the National Institutes of Health (Grant MH-04737-05), the National Aeronautics and Space Administration (Grant NsG-496); and by Research Grant NB-01344, National Institute of Neurological Diseases and Blindness of the National Institutes of Health, Public Health Service.     

Continuous registration of the filling volume of the human urinary bladder]

A sensing system for continuous recording of bladder volume is described. The system is intended for use in particular in patients with paraplegia or bladder plastique. Owing to the very simple measuring procedure employed the implantable components can be designed for very low power consumption. Also, there is no need for an additional data transfer from inside the body to the exterior, because measurement and telemetry are physically the same procedures.     

The expression of biologically active human p53 in Leishmania cells: a novel eukaryotic system to produce recombinant proteins.

We have investigated the use of Leishmania cells as a novel eukaryotic expression system for the production of recombinant protein. These cells are easy to maintain, requiring no CO2 incubator or shaker, and can be grown in standard tissue culture media. Leishmania cells can be readily transfected with plasmid DNA by electroporation and transformants selected with antibiotic resistance. Recent studies have shown that it is possible to express foreign genes in Leishmania for the purpose of understanding the biology of this protozoan cell. In the present study we report the use of this system as a means of producing a biologically functional human p53 protein. The conformation of the p53 protein is critical for its ability to bind specific DNA sequences. It is demonstrated that Leishmania-synthesized human p53 is phosphorylated and can bind specifically to its enhancer DNA sequence. These data demonstrate that Leishmania may represent a simple eukaryotic expression system for the production of biologically active recombinant proteins.     

Group testing to annihilate pairs applied to DNA cross-hybridization elimination using SYBR Green I.

A group testing (or pooling) method for DNA strands that identifies at least one strand in a pair of cross-hybridized oligonucleotides is given. This pooling method can be extended to any population of objects where certain pairs together produce an observable function or signal. Pairs of objects may work together to produce an undesirable result or a detrimental function. If just a single element of such a pair is identified and eliminated, then the undesirable function of that pair is destroyed. In particular, the ability to ensure that a set DNA probes do not yield undesired cross-hybridizations is important when these probes and/or their complements are used in the production of a hybridization signal that is intended to convey information. Here we report a "proof of principle" method, similar to those used to screen DNA libraries, that screens pools of probes for unwanted cross-hybridization events and identifies the offending probes. In the reported experiment, a cross-hybridized duplex in a pool of probes is detected by using the fluorescent dye SYBR Green I. This dye is known to produce greater fluorescence when bound to duplex DNA as opposed to single-stranded DNA. The method described here is sensitive, fast, and simple.     

Immunological techniques used with fungal plant pathogens: aspects of antigens, antibodies and assays for diagnosis

The present review surveys serological work with phytopathogenic fungi. Knowledge of antigenic determinants of fungi and the possibilities and problems of selecting and using fungal structures and metabolic products for the production of specific antibodies are considered. The paper is intended to be a source of practical information and literature for the active research worker.     

The spike generation zone of the ampullary electroreceptor

Sensory input to the central nervous system begins with a transduction step, specialized to the sensory modality involved, resulting in the production of postsynaptic electrical input to the outermost branches of a dendritic tree. Spatiotemporal summation of this slow input as it converges upon the axon then initiates the production of or modulates the rate of ongoing production of fast neural spikes destined for the central nervous system. We present a novel circuit design consisting of an operational amplifier, a tunnel diode and linear passive components, intended to model the spike generation zone at which the transformation of neural input from slow to fast format takes place. Our circuit is shown to be a relaxation oscillator of the van der Pol type. Simulated postsynaptic current modulates the frequency of spike production by the relaxation oscillator model, producing a stimulus-response characteristic which can be compared with those observed in vivo. Stimulus-response data for our model match data available in the literature for the ampullary electroreceptor of elasmobranch fish.     

Using historical data for bioprocess optimization: modeling wine characteristics using artificial neural networks and archived process information

Optimization of fermentation processes is a difficult task that relies on an understanding of the complex effects of processing inputs on productivity and quality outputs. Because of the complexity of these biological systems, traditional optimization methods utilizing mathematical models and statistically designed experiments are less effective, especially on a production scale. At the same time, information is being collected on a regular basis during the course of normal manufacturing and process development that is rarely fully utilized. We are developing an optimization method in which historical process data is used to train an artificial neural network for correlation of processing inputs and outputs. Subsequently, an optimization routine is used in conjunction with the trained neural network to find optimal processing conditions given the desired product characteristics and any constraints on inputs. Wine processing is being used as a case study for this work. Using data from wine produced in our pilot winery over the past 3 years, we have demonstrated that trained neural networks can be used successfully to predict the yeast-fermentation kinetics, as well as chemical and sensory properties of the finished wine, based solely on the properties of the grapes and the intended processing. To accomplish this, a hybrid neural network training method, Stop Training with Validation (STV), has been developed to find the most desirable neural network architecture and training level. As industrial historical data will not be evenly spaced over the entire possible search space, we have also investigated the ability of the trained neural networks to interpolate and extrapolate with data not used during training. Because a company will utilize its own existing process data for this method, the result of this work will be a general fermentation optimization method that can be applied to fermentation processes to improve quality and productivity.     

A novel Real Time micro PCR based Point-of-Care device for Salmonella detection in human clinical samples

Our POC (Point of Care) device is intended to be a diagnostic tool for routine use in the clinical sector. The validation of the whole procedure, including bacterial genomic DNA isolation and the Real Time detection of Salmonella spp., was conducted on 29 clinical stool samples that had been diagnosed with Salmonella spp. by a routine culture technique. The entire process was achieved in a single microfluidic chip within 35 min. In comparison to the culture reference method that is used in the clinical laboratories, this new device performed well in regards to the analytical parameters of sensitivity, specificity and accuracy. Therefore, the POC device reported in this study proved to be very appropriate for the fully integrated analysis system. To the best of our knowledge, this is the first work to report the sample preparation and followed by Real Time PCR (Polymerase Chain Reaction) on a single 2.5 μl chamber chip for the detection of Salmonella spp. bacteria in stool samples.     

Toxicity testing of polymer materials for dialysis equipment: is there any need forin vivo testing?

In an earlier work, slightly more than 650 plastic materials, intended for use in medical devices, were tested with a battery of chemical, as well asin vitro andin vivo biological tests. An analysis showed that only a limited number of the tests used were actually necessary to obtain the same pass or fail decision as that obtained using the full test battery. This prompted us to prescreen all new materials with a small test battery consisting of the two most discriminating chemical tests and anin vitro cell growth inhibition test. The present work is a report of our findings after testing another 155 materials using this prescreen system.For each single one of the 155 tested materials the same decision on whether or not to use the material in the intended medical device would have been reached without anyin vivo testing. In no single case in a total of 851in vivo tests did an eluate that had passed thein vitro cell test give rise to a reactionin vivo. Thus, among the tests on living systems the cell test alone seems to be sensitive enough to provide sufficient information. Nothing appears to be gained from thein vivo animal tests. However, some of the materials that passed the prescreening tests later failed in one or several of the chemical tests. Both nonspecific chemical tests and tests for specific molecules seem to detect undesirable levels of leachable substances not detected by the prescreening system. Therefore these tests should not be abandoned. Abandoning unnecessaryin vivo testing, on the other hand, would save considerable costs.