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At least 1,189 records · Page 66Linked to original sources

Optimization study of Escherichia coli TB1 cell disruption for cytochrome b5 recovery in a small-scale bead mill.

The recovery of a recombinant intracellular protein, cytochrome b5, from Escherichia coli TB1 cells was carried out by bead mill disintegration in a discontinuous small-scale instrument. This process was optimized by the use of experimental factorial design. Several parameters were studied: operating time, amount and size of beads, cellular suspension concentration, and presence of toluene and lysozyme. For the experimental conditions used, only the time of treatment and bead load had significant effects. The optimal values of these variables were found by applying the response surface methodology.

Cytochromes b5↗

The use of adaptive radiation therapy to reduce setup error: a prospective clinical study.

PURPOSE: Adaptive Radiation Therapy (ART) is a feedback treatment process that optimizes a patient's treatment according to the patient specific information measured during the course of treatment. Utilizing an electronic portal imaging device (EPID) and a computer-controlled multileaf collimator (MLC), the ART process is currently being implemented in our clinic to improve the treatment accuracy by compensating for the treatment setup error. A prospective study was conducted to evaluate the feasibility and efficacy of the ART process for clinical use. METHODS AND MATERIALS: The prospective study included 20 patients who underwent conventional radiotherapy on a linear accelerator equipped with an EPID and a MLC. No specific changes were made in the routine clinical procedures except daily portal images were obtained for each treatment field. Two-dimensional setup error for each treatment field was then measured offline using a software tool. The measured setup errors from initial treatment days were used to predict the systematic and random setup errors for each treatment field. An adjustment decision was made if the predicted systematic error was larger than or equal to 2 mm. Furthermore, the treatment field was extended if the predicted random setup error could not be effectively compensated by the predefined treatment setup margin. Instead of the conventional approach of patient repositioning, setup adjustment was implemented by reshaping the MLC field. The entire process from measuring setup error to reshaping the MLC field was performed offline through a computer network. After completion of a patient's treatment, the systematic and random setup errors after adjustment were compared with those predicted prior to the adjustment. The accuracy of the adjustment, and the reliability and stability of the process were analyzed. RESULTS: Treatment fields of 13 patients were modified to correct for systematic errors. The mean systematic error was 4 mm with a range of 2 to 7 mm before adjustment. It was reduced to 0.5 mm with a range of 0.2 to 1.4 mm after adjustment. There was no significant difference in random setup errors before and after adjustment. The ART process was found to be stable, as more than 95% of patient specific setup margins were predictable within 1 mm using the first four to nine fractions of treatment, confirming the feasibility of treatment plan reoptimization with the ART process. CONCLUSIONS: The prospective study demonstrates that the ART process can be effectively implemented in routine clinical practice to improve treatment accuracy. This process is also ready to be further extended to reoptimize the treatment plan by incorporating the predicted patient specific setup variation.

Feasibility Studies↗

Treatment of swine wastewater using MLE process and membrane bio-reactor.

The aim of this study was to develop the optimum integrated treatment system for slurry type swine wastewater through field testing. Although composting and liquid composting are the most desirable processes to treat swine wastewater, inadequate composting has been blamed as critical non-point source pollutants. In the area with limited crop land and grass land, the most feasible method to handle slurry type swine wastewater would be that the solids portion from the solids/liquid separation process is treated by composting and then the liquid portion is treated by a series of wastewater treatment processes, including physicochemical treatment system and biological nutrient removal systems such as the modified Ludzack Ettinger (MLE) process and MLE process coupled with a membrane, to satisfy the different effluent criteria. When using the appropriate solids/liquid separation system, the removal efficiency of SS, COD(Cr), and TKN was 92.4%, 73.6%, and 46.0%, respectively and the amount of bulking agent required for composting and organic loading rate for the following wastewater treatment system can be reduced by 94.8% and 84.7%, respectively. When treating the effluent from solids/liquid separation process by MLE process, the optimal volume fraction for denitrification was 20% of total reactor volume and the optimum ratio of F/M and F(N)/M were increased with increase of C/N ratio. Since the effluent quality of MLE process is not enough to discharge, the DAF process was operated with addition of FeCl3 and cationic polyelectrolyte. The effluent from the DAF process was treated in the MLE process coupled with a crossflow ultrafiltration membrane to satisfy more stringent effluent criteria. When external carbon source is added to keep 6.0 of C/N ratio, the efficiency of denitrification is best. The optimum linear velocity and transmembrane pressure for MBR process was 1.8 m/sec and 2.1 atm, respectively. By addition of external carbon source, nitrogen compounds, especially NOx-N, were considerably removed. And by addition of powdered activated carbon, the removal efficiency of COD(Cr) and COD(Mn) and the membrane flux were increased dramatically.

Animals↗

Multiplexed holographic transmission gratings recorded in holographic polymer-dispersed liquid crystals: static and dynamic studies.

The optimization of the experimental parameters of two multiplexed holographic transmission gratings recorded in holographic polymer-dispersed liquid crystals is investigated. Two methods are used to record the holograms: simultaneous and sequential multiplexing. These two processes are optimized to produce two multiplexed Bragg gratings that have the same and the highest possible diffraction efficiencies in the first order. The two methods show similar results when suitable recording parameters are used. The parameters of the recorded gratings (mainly the refractive-index modulation) are retrieved by use of an extension of the rigorous coupled-wave theory to multiplexed gratings. Finally, the response of the holograms to an electric field is studied. We demonstrate few coupling effects between the behavior of both gratings, and we expect a possibility of switching from one grating to the other.

Journal Article↗

[Clinical and pathogenetic features of CNS damage in children with diphtheria].

The paper presents clinical and neurological features of diphtheritic polyneuropathy in 110 patients aged from 6 months to 14 years. The pattern of neurological complications appeared to be quite different for nontoxic and toxic forms; electroneuromyographical criteria of preclinical diagnosis of nervous disorders were determined. The role of a vascular factor in demyelinating process' genesis, immunohomeostasis implications in severity and outcomes of diphtheritic polyneuropathies, prognostic factors of the unfavorable course of the disease were defined. Scientifically grounded differential approaches to therapy were presented including application of vasoactive neurometabolites optimizing the processes of sanogenesis.

Adolescent↗

Optimal k-space sampling in MRSI for images with a limited region of support.

Magnetic resonance spectroscopic imaging requires a great deal of time to gather the data necessary to achieve satisfactory resolution. When the image has a limited region of support (ROS), it is possible to reconstruct the image from a subset of k-space samples. Therefore, we desire to choose the best possible combination of a small number of k-space samples to guarantee the quality of the reconstructed image. Sequential forward selection (SFS) is appealing as an optimization method because the previously selected sample can be observed while the next sample is selected. However, when the number of selected k-space samples is less than the number of unknowns at the beginning of the selection process, the optimality criterion is undefined and the resulting SFS algorithm cannot be used. In this paper, we present a modified form of the criterion that overcomes this problem and develop an SFS algorithm for the new criterion. Then we develop an efficient computational strategy for this algorithm as well as for the standard SFS algorithm. The combined algorithm efficiently selects a reduced set of k-space samples from which the ROS can be reconstructed with minimal noise amplification.

Algorithms↗

CT stereotactic biopsy for optimizing the therapy of intracranial processes.

The CT stereotactic method (Mundinger/Birg) and the bioptic results of intracranial processes in 815 cases are reported. In 17% of the cases, no tumor was found, in contrast to the diagnosis established by modern imaging techniques (CT, MRI). The necessity of confirming the diagnosis of intracranial lesions to optimize the treatment plan is pointed out. Low mortality and morbidity rates (0.6 and 3%) make this method acceptable for the patient, since misdiagnoses, mistreatment or omission of treatment can thus be avoided. The accuracy (0.6 mm) of CT stereotactic localization and biopsy makes the method reliable even for small lesions.

Biopsy↗

A physiologically based simulation approach for determining metabolic constants from gas uptake data.

In vivo metabolic constants were determined in male Fischer rats for five chemicals: 1,1-dichloroethylene (1,1-DCE), diethyl ether (DE), bromochloromethane (BCM), methyl chloroform (MC), and carbon tetrachloride (CCl4). A closed recirculated exposure system was used to collect a series of uptake curves for each chemical at a range of initial concentrations. The shapes of these curves were a function of the tissue partition coefficients and the kinetic characteristics of the metabolism of these chemicals. Tissue:air partition coefficients were experimentally determined for each chemical and incorporated into a physiological kinetic model which was then used to simulate the uptake process. An optimal fit of the family of uptake curves for each chemical was obtained by adjusting the biochemical constants for metabolism of the chemical. Metabolism of both 1,1-DCE and CCl4 was represented by a single saturable process while MC required only a first-order pathway. BCM and DE exhibited a combination of both a saturable and a first-order process. Pyrazole, which blocks oxidative microsomal metabolism, inhibited the saturable pathways of 1,1-DCE, BCM, DE, and CCl4 metabolism and abolished the first-order pathway for MC. The maximum velocity of metabolism for the saturable pathway with 1,1-DCE, BCM, DE, and CCl4 for a 225-g rat was 27.2, 19.9, 26.1, and 0.92 mol/hr, respectively. The simulation approach for analyzing gas uptake data distinguishes between single and multiple metabolic pathways and provides kinetic constants that can be used in predictive toxicokinetic models for describing constant concentration inhalation exposure as well as exposures by other routes of administration.

Animals↗

[Technology integration and process management. Concept and implementation of a new platform for simultaneous diagnosis and therapy of acutely ill and injured patients and for elective computer assisted surgery (CAS)].

Modern imaging and computer technology gain more and more importance in surgery. This is true for elective and emergency diagnosis and treatment. However integration of technology and optimization of process management is severely behind. A new diagnostic-therapeutic platform should balance this deficit. The platform is composed of a fully equipped operation room environment with integrated high end computer-tomography with navigation, a digital subtraction angiography and an OR- and imaging-table particularly developed for this set-up. The platform may be used for elective diagnosis, for diagnosis and therapy in polytraumatized patients in one and the same location (one stop shop) and for computer assisted surgery (CAS). Bringing the technology to the patient and not the patient to the technology can save time consuming and potentially dangerous transports and expensive personnel can be reduced. Navigation-technology and high quality intra-operative imaging expand the spectrum of minimally invasive surgery.

Diagnostic Imaging↗

Improved L-threonine production of Escherichia coli mutant by optimization of culture conditions.

L-threonine production was investigated in a minimal salt medium using L-threonine-overproducing Escherichia coli MT201, derived from E. coli K-12. It was observed that dry cell weight reached 12.5 g/l with 15.9 g/lL-threonine. To increase dry cell weight and L-threonine production, the fermentation process was optimized. When biotin was added as growth factor, L-threonine production reached 52.0 g/l from 15.9 g/l without biotin. Dry cell weight and L-threonine production were further increased by continuous feeding of the feed media with an optimized L-methionine concentration (5.0 g/l). However, high-cell-density culture caused oxygen-limited condition, which resulted in the accumulation of organic acids. To overcome this problem, oxygen-enriched air was supplied to the fermentor with the minimal salt medium. Under these optimal conditions, we achieved an L-threonine production of 80.2 g/l in the minimal salt medium.

Air↗

Microbial attachment and growth in fixed-film reactors: process startup considerations.

Optimal steady-state performance of any biofilm reactor requires a fully developed and mature biofilm. During fixed-film reactor startup phase, biofilm is in process of development and accordingly, process performance is difficult to quantify. Environmental, cellular and surface factors greatly influence the process of biofilm formation during reactor startup. Improved knowledge of nutritional, toxicological and environmental requirements of wastewater degrading microorganisms has helped define optimal microbial growth conditions. In case of anaerobic fixed film reactors the startup is hindered by low microbial growth rates, strict environmental requirements and limited ability of methanogens to adhere and form fixed biofilms. These obstacles could be overcome by proper support media selection and formulation of appropriate inoculation procedures and startup strategies.

Journal Article↗

[Application of genetic algorithm in optimization of mobile phase composition in high performance liquid chromatography].

Referring to traditional optimal methods, a method for the optimization of isocratic elution mobile phase composition in high performance liquid chromatography has been developed. In this method, the genetic algorithm based on line-crossover and plane-mutation is used. The principle of genetic algorithm and the process of optimization of mobile phase composition in reversed-phase ion-pair high performance liquid chromatography using genetic algorithm are introduced in details. With the concentrations of acetonitrile and ion-pair reagent sodium octane sulfonate chosen as the optimal parameters, the optimum was obtained by three times of optimization procedures. The mean relative error between the predicted and experimental values was 0.75% at the optimum and the optimization results were satisfactory.

Algorithms↗

Improved quantification of in vivo 1H NMR spectra by optimization of signal acquisition and processing and by incorporation of prior knowledge into the spectral fitting.

Quantification of localized in vivo brain 1H spectra is in general very difficult due to excessive spectral overlap. In addition, intensity distortions may result from the effects of the NMR pulse sequence on the spins. This paper describes an approach to solving these problems. It comprises optimization of the pulse sequence; correction of the experimental lineshape; determination of intensity distortions, of relative line positions, and of linewidths using model solutions; and incorporation of the thus obtained prior knowledge into a nonlinear least-squares spectral fitting procedure. This approach resulted in greatly improved accuracy, precision, and reliability of the quantitation of our in vivo spectra of rat brain, and enabled us to estimate absolute metabolite concentrations.

Animals↗

Optimum conditions for Al13 polymer formation in PACl preparation by electrolysis process.

This paper introduces a new and effective method for preparation of PACl-electrolysis process. A series of PACl with high content of Al13 polymer was successfully prepared by electrolysis process. The amount of Al13 polymer formed in electrolysis process was found to be highly influenced by current density (di), the distance between the electrodes, electrolysis time and the stirring rate of the electrolyte. For the AlT (total aluminum concentration) of 2.0 M PACl obtained by electrolysis process, the optimal di and distance between the electrodes were 1.1 Adm(-2) and 10 mm respectively. The optimum circulating rate was 5.5 l h(-1). Because of the inhomogeneous pH between the surface of cathode and the bulk solution, the electrolysis process has the advantage to form more Al(OH)4- as precursor of Al13 polymer. At the optimum condition, Al13 polymer accounted for above 70% of AlT (PACl of AlT=2.0 M and B=2.0), which was much higher than that of PACl prepared by other method.

Aluminum↗

Extraction and recovery of chromium from electroplating sludge.

This work reports a study of the extraction and recovery of chromium from the wastes (class I dangerous) generated by a galvanic manufacturer. Commercial HCl at room temperature was employed, and the conditions of the extraction process were optimized according to a sequential experimental design, which also included the acid concentration and contact time as variables. The best extraction conditions (80% v/v; 30 min; 97.6% Cr) for the chromic sludge were chosen in order to make the recovery process economically feasible. After each extraction, the residue was submitted to leaching essays, to assess environmental risks. It was found that sludge could be characterized as no longer dangerous. In the recovery study, a simple and low-cost technique was evaluated for selectivity based on an oxidation step with hydrogen peroxide. A 2(3) factorial design to assess the influence of oxidation time (min), temperature ( degrees C) and peroxide amount (mol/L) was employed. The best conditions, yielding a chromium recovery of about 92%, were a time of 60 min, a temperature of 60 degrees C and 2.1 mol/L peroxide. Additional essays revealed that the same result could be obtained with more economic conditions (40 min, 1.4 mol/L peroxide and 60 degrees C). This technique proved not only effective in comparison with existing alternatives, but also low costing.

Chromium↗

A correction factor for bridging compaction simulator and different roller compactors.

Roller compaction (RC) is an important dry granulation technique. Since pilot and commercial scale roller compactors, which operate continuously on a large scale, usually require kilograms of material per run, formulation and process development directly on such roller compactors is not practical. In contrast, a compaction simulator (CS) can produce ribblets, also known as "slugs", using only a few grams of material with sinusoidal displacement profile replicating the motion of a specific point on the roll surface. Thus, it is possible to develop RC formulation and process in laboratory using a CS-based material-sparing approach. However, because of the inherently different configurations for applying pressure between die compression and roll compression, translating uniaxial pressure from CS experiments to roll pressure during RC is often unreliable, leading to significant uncertainties in the critical quality attributes of ribbons, such as ribbon solid fraction (or porosity) and mechanical strength. The objective of this study was to identify a correction factor (Kp = uniaxial die compression pressure/roll pressure), by correlating the compressibility profiles from CS and a roller compactor of interest, to enable more reliable process translation from CS to roller compactor. In this study, a Kp value of 0.5 was determined for Alexanderwerk WP120 and validated for Gerteis Mini-Pactor and Bepex Pharmapactor. This value may serve as a starting point for translating the optimal compaction pressure identified based on CS investigation to common roller compactors, requiring only minor adjustments to attain optimal RC process parameters (i.e., roll force and roll gap) for a chosen roller compactor.

Drug Compounding↗

Risk stratification and pathological mechanisms in preterm delivery.

The delivery of infants before 37 weeks gestation is a leading cause of perinatal mortality and morbidity in the United States. Traditional methods of predicting women at risk relying on obstetric history or premonitory symptoms (detected clinically or by tocodynamometry) are neither sensitive nor specific. Recent approaches to predicting preterm delivery have included sonographic measurement of cervical length and various biochemical assays. Although more sensitive than traditional methods, none of these alone exhibits sufficient accuracy to warrant widespread use. We contend that the failure of current approaches to predicting preterm delivery reflects an inadequate understanding of the underlying pathogenesis. Clinical and experimental evidence support the concept that most cases of preterm delivery reflect four pathogenic processes, which share a common final biological pathway leading to uterine contractions and cervical changes with or without premature rupture of membranes. These pathogeneses are: (1) activation of the maternal or fetal hypothalamic-pituitary-adrenal axis; (2) decidual-chorioamniotic or systemic inflammation; (3) decidual haemorrhage (i.e. abruption); and (4) pathological distention of the uterus. Our research seeks to combine the most useful biophysical and biochemical markers of such processes with optimal clinical and epidemiological predictors into a composite, easily applied risk tool. This integrated approach has the potential to identify at-risk asymptomatic patients with high sensitivity, specificity, and positive and negative predictive values, and also to ascertain underlying pathogenic processes that can lead to targeted therapy. To accomplish these goals, we employ logistic regression and artificial neural network models to assess and apply the appropriate weight to markers associated with each of the above pathogenic pathways, in addition to markers of the final common pathway leading to fetal membrane rupture, cervical extracellular matrix degradation, and myometrial activation. By combining these markers, we expect ultimately to produce a predictive model that is more robust than any existing method, and that identifies the relative contribution of each pathogenic process. Further analysis of this model using a neural network will enable us to identify asymptomatic patients destined to deliver preterm with high sensitivity, specificity, positive and negative predictive values, and to assess the relative contribution of each of the four distinct pathogeneses to this preterm delivery risk.

Adult↗

Improving recombinant protein productivity in CHO cells via multi-omics data integration.

Chinese hamster ovary (CHO) cells represent the dominant host system for the production of recombinant therapeutic proteins. In recent decades, extensive research has focused on process/media optimization and cell line engineering to improve both the productivity and quality of biopharmaceutical proteins produced in CHO cells. Nevertheless, the inherent complexity of biological pathways and the heterogeneous cellular responses to different environmental conditions have posed substantial challenges to traditional methodologies. Recent advances in omics technologies have enabled comprehensive characterization of CHO cell physiology, providing multidimensional molecular and phenotypic insights that facilitate the enhancement of recombinant protein production. This review first summarizes the methodologies and advances in CHO omics research, including genomics, transcriptomics, proteomics, metabolomics, and epigenomics. It then examines contemporary approaches to integrate and analyze multi-omics data in CHO cells. The review further elucidates how these multi-omics datasets can be strategically applied across various developmental stages, including cell line selection, genetic engineering, expression vector design, and bioprocess optimization. Finally, we explore the transformative potential of integrating multi-omics with artificial intelligence and discuss promising future research directions in CHO cell studies. These emerging paradigms offer novel opportunities for data-driven cell engineering and bioprocess optimization in CHO-based biomanufacturing.

Bioprocessing↗