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PubMed Journals Articles About "Line Prediction Glucose Concentration Cell Cultivations Raman Spectroscopy" RSS

03:44 EST 18th January 2019 | BioPortfolio

Line Prediction Glucose Concentration Cell Cultivations Raman Spectroscopy PubMed articles on BioPortfolio. Our PubMed references draw on over 21 million records from the medical literature. Here you can see the latest Line Prediction Glucose Concentration Cell Cultivations Raman Spectroscopy articles that have been published worldwide.

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Showing "line prediction glucose concentration cell cultivations Raman spectroscopy" PubMed Articles 1–25 of 41,000+

Comparison of multivariate data analysis techniques to improve glucose concentration prediction in mammalian cell cultivations by Raman spectroscopy.

In-situ Raman spectroscopy is frequently applied to monitor and even control the glucose concentration of monoclonal antibody producing mammalian cell cultivations. Previous studies used the PLSR algorithm only, however other multivariate algorithms were applied successfully for different protein production processes. In this study, four mammalian cell cultivation runs were followed with Raman spectroscopy and the spectra were analysed quantitatively and qualitatively as well. The PCA analysis showed that o...


Glucose Monitoring and Adaptive Feeding of Mammalian Cell Culture in the Presence of Strong Autofluorescence by near Infrared Raman Spectroscopy.

Raman spectroscopy offers an attractive platform for real-time monitoring and control of metabolites and feeds in cell culture processes, including mammalian cell culture for biopharmaceutical production. However, specific cell culture processes may generate substantial concentrations of chemical species and byproducts with high levels of autofluorescence when excited with the standard 785 nm wavelength. Shifting excitation further toward the near-infrared allows reduction or elimination of process autofl...

Label-free Raman characterization of bacteria calls for standardized procedures.

Raman spectroscopy has gained relevance in single-cell microbiology for its ability to detect bacterial (sub)populations in a non-destructive and label-free way. However, the Raman spectrum of a bacterium can be heavily affected by abiotic factors, which may influence the interpretation of experimental results. Additionally, there is no publicly available standard for the annotation of metadata describing sample preparation and acquisition of Raman spectra. This article explores the importance of sample man...


Rapid determination of 1,3-propanediol in fermentation process based on a novel surface-enhanced Raman scattering biosensor.

The production of 1,3-propanediol (1,3-PDO) is an important fermentation process. However, 1,3-PDO could not be distinguished separately and efficiently in fermentations previously because it has a highly similar molecular structure to the feedstock glycerol (GLY) and by-product lactic acid (Lac), which leads to the difficulty of quantification. In this paper, a low-cost and environmentally friendly biosensor based on surface-enhanced Raman scattering (SERS) technique was developed. Using it, the concentrat...

Evaluation of biological response induced by molybdenum oxide nanocolloids on in vitro cultured NIH/3T3 fibroblast cells by micro-Raman spectroscopy.

Tailored colloids of uniformly sized and engineered molybdenum oxide nanoparticles were produced, for the first time, by pulsed laser ablation in water. This green technique ensures the formation of contaminant-free nanostructures and the absence of by-products, very useful issues in biological applications. A selective tuning of MoO chemical bonding configurations and a suitable control of nanoparticles size distributions were achieved during the ablation processes by varying the water temperature and by a...

Detection and identification of medically important alkaloids using the surface-enhanced Raman scattering spectroscopy.

Currently, trace detection of drugs, medicinal products, psychoactive substances, poisons and other natural or synthetic compounds in the human body has become one of the most important areas of interest in medicine, toxicology and forensic research. Due to the rapid development of nanotechnology, applications in forensic and biological sciences, food industry and art preservation there is an increasing interest in surface-enhanced Raman scattering (SERS) spectroscopy as a technique capable of low detection...

Discrimination Between Infant and Adult Bloodstains Using Micro-Raman Spectroscopy: A Preliminary Study.

In the present study, we used micro-Raman spectroscopy with high-resolution analysis to discriminate between bloodstains from infants and bloodstains from adults. Raman peaks were detected at 674, 754, 976, 1002, 1105, 1127, 1176, 1248, 1340, 1368, 1390, 1560, and 1611 cm ; these peaks were derived from hemoglobin, albumin, and glucose. However, a peak was obtained at 1105 cm , which was assigned to histidine; this peak was observed only for bloodstains from adults. Human adult hemoglobin (HbA) is compose...

Structural Quantification for Graphene and Related Two-Dimensional Materials by Raman Spectroscopy.

Graphene and related two-dimensional (2D) materials have attracted intense interest due to their unique properties and broad potential applications in catalysts, sensing, electronics, and so on. The structure of 2D materials, such as thickness, edge chirality, defect, isotope, and so on, determines the electronic structure, and thus the physical and chemical proper-ties of the materials. So the structural quantification for graphene and related 2D materials is very important. Raman spectroscopy is a powerfu...

Monitoring alcohol concentration and residual glucose in solid state fermentation of ethanol using FT-NIR spectroscopy and L1-PLS regression.

This study aimed to investigate the potential of FT-NIR spectroscopy technique combined with chemometrics method, which employed to monitor time-related changes of alcohol concentration and residual glucose during solid state fermentation (SSF) of ethanol. Characteristic wavelength variables were firstly selected by use of L1-norm regularization approach. Then, the partial least squares (PLS) regression model was finally developed using the variables selected by L1-norm regularization method to quantitative...

Assessment of physiological responses and growth phases of different microalgae under environmental changes by Raman spectroscopy with chemometrics.

The assessment for cell physiology and growth phases of microalgae plays important roles in ecological and environmental fields since it can be used to forecast water eutrophication level worldwidely. Herein, growth phases and environmental conditions of microalgae were assessed by combining resonance Raman mapping spectroscopy with multivariate analysis methods. And, primary Raman characteristic peaks of microalgae were mined with two-dimensional synchronous spectra. Thereafter, algal growth phases and env...

D2O Isotope Labeling Approach to Probing Phosphate Solubilizing Bacteria in Complex Soil Communities by Single-Cell Raman Spectroscopy.

Increasing the bioavailability of immobilized phosphorus (P) in soil by phosphate solubilizing bacteria (PSB) is an effective strategy for sustainable agronomic use of P and for mitigating the P crisis. Here, D2O isotope labeling combined with single-cell Raman spectroscopy (Raman-D2O) was developed as an efficient activity-based approach to characterize the presence and activity of PSB in a culture-independent way. Based on the finding that PSB were significantly more active than non-PSB in the presence of...

Through-packaging analysis of butter adulteration using line-scan spatially offset Raman spectroscopy.

Spectroscopic techniques for food quality analysis are limited to surface inspections and are highly affected by the superficial layers (skin or packaging material) of the food samples. The ability of spatially offset Raman spectroscopy (SORS) to obtain chemical information from below the surface of a sample makes it a promising candidate for the non-destructive analysis of the quality of packaged food. In the present study, we developed a line-scan SORS technique for obtaining the Raman spectra of packaged...

Predicting post-mortem meat quality in porcine longissimus lumborum using Raman, near infrared and fluorescence spectroscopy.

Spectroscopic techniques can provide valuable information about post-mortem meat quality. In the current study, Raman, NIR and fluorescence spectroscopy was used to analyze pH, drip loss and intramuscular fat in pork longissimus lumborum (n = 122) at 4-5 days post-mortem. Results were promising for partial least squares regression (PLSR) from Raman spectroscopy, giving coefficients of determination from cross validation (r) ranging from 0.49 to 0.73 for all attributes examined. Important regions in th...

Predicting cadmium concentration in soils using laboratory and field reflectance spectroscopy.

Visible and near-infrared spectroscopy (VNIRS, 350-2500 nm) is a promising alternative to rapidly investigate soil contamination by heavy metals. To explore the possibility of predicting heavy metal concentration in soils using laboratory and field reflectance spectroscopy and examine transferability of the prediction method, 46 soil samples from a mining area, 42 soil samples from an agricultural land, and the corresponding two sets of field soil spectra were collected. Cadmium (Cd) was taken as an examp...

Study the effect of Li on the ν/ν+ν Fermi resonance of acetonitrile by Raman Spectroscopy.

Raman spectra of the solution of LiClO in acetonitrile (CHCN) at different concentrations have been measured. With increasing the concentration of Li, it was noted that several vibrational modes of CHCN had significant changes in Raman shifts and some new Raman peaks emerged due to the CHCN⋯Li complex formation. In addition, Fermi resonance phenomenon between the ν and (ν + ν) Raman bands of CHCN⋯Li complex was observed. Based on the Bertran's equations, Fermi resonance parameters of free CHCN an...

Breast cancer subtype specific biochemical responses to radiation.

External beam radiotherapy is a common form of treatment for breast cancer. Among patients and across different breast cancer subtypes, the response to radiation is heterogeneous. Radiation-induced biochemical changes were examined by Raman spectroscopy using cell lines that represent a spectrum of human breast cancer. Principal component analysis (PCA) and partial least squares discriminant analysis (PLSDA) revealed unique Raman spectral features in the HER2 and Ki67 subtype. The changes in Raman spectral ...

New insights of Raman spectroscopy for oral clinical applications.

Oral injuries are currently diagnosed by histopathological analysis of biopsy, which is an invasive procedure and does not give immediate results. On the other hand, the Raman spectroscopy technique is a real-time and minimally invasive analytical tool with a notable diagnostic capability. At the current stage, researchers are widely aware of the diagnostic potential of the technique and how it is considered promising for providing biochemical information in real time and without damaging the tissue. The pr...

Berberine Ameliorates High Glucose-Induced Cardiomyocyte Injury via AMPK Signaling Activation to Stimulate Mitochondrial Biogenesis and Restore Autophagic Flux.

Type II diabetes (T2D)-induced cardiomyocyte hypertrophy is closely linked to the impairment of mitochondrial function. Berberine has been shown to be a promising effect for hypoglycemia in T2D models. High glucose-induced cardiomyocyte hypertrophy has been reported. The present study investigated the protective effect and the underlying mechanism of berberine on high glucose-induced H9C2 cell line. High glucose-induced H9C2 cell line was used to mimic the hyperglycemia resulting in cardiomyocyte hypertro...

One-hour post-load hyperglycemia: implications for prediction and prevention of type 2 diabetes.

Recently, a value of 1-h post-load glucose concentration (1-h-PG) ≥155 mg/dl (8.6 mmol/l) in individuals with normal glucose tolerance (NGT) has been found to be associated with an increased risk for future type 2 diabetes (T2DM). In this review, we analyze the implication of 1-h-PG determination in prediction of T2DM and cardiovascular disease.

Phase transformation in the C form of myristic-acid crystals and DFT calculations.

In this study, the vibrational frequencies of myristic acid (CH(CH)COOH) were obtained using density functional theory calculations, and the results were compared with experimental Raman and infrared data. Additionally, Raman spectra of crystalline myristic acid were recorded in the 300-20 K range. Raman spectroscopy gives important insights into the effect of low temperatures on its monoclinic phase. X-ray diffraction was performed from 298 to 133 K to provide additional information about the cryogenic...

Tracing hematopoietic progenitor cell neutrophilic differentiation via Raman spectroscopy.

A major challenge to experimental studies and therapeutic uses of hematopoietic stem cells (HSC) is the limited options for analytical tools that can reliably resolve functional differences in heterogeneous HSC subpopulations at the single cell level. Currently available methods require the use of external labels and/or separate clonogenic and transplantation assays to identify bona fide stem cells, necessitating the harvest of bulk cell populations and long incubation time that obscure how individual HSCs ...

Chitosan/silver nanocomposites for colorimetric detection of glucose molecule.

This study was about the simple method for the rapid colorimetric and visual detection of glucose molecules in water medium. Silver nanoparticles were spread on the chitosan surface (CS/Ag NCs) and it was characterized by UV-visible spectroscopy, fourier transform infrared spectroscopy (FTIR), X-ray diffraction spectroscopy (XRD), scanning electron microscope (SEM) and transmission electron microscope (TEM). The CS/Ag NCs displayed a strong surface plasmon resonance band at 429 nm which disappears in the ...

Analysis of Tuberculosis Disease through Raman Spectroscopy and Machine Learning.

We presents the effectiveness of Raman spectroscopy (RS) in combination with machine learning for screening and analysis of blood sera collected from tuberculosis patients. Blood samples of 60 patients have confirmed active pulmonary tuberculosis and 14 samples of healthy age matched control were used in the current study. Spectra from entire sera samples were acquired using 785 nm laser Raman system. Support Vector Machine (SVM) together with Principal Component Analysis (PCA) has been used for highlight...

Dual-wavelength Raman fusion spectroscopy.

Spatially compressed dual-wavelength Raman spectroscopy allows recording the full Raman spectrum using a detection system with limited spectral range. The common approach is to record the spectra with the two excitation lasers consecutively and then concatenate the full spectrum. However, with this approach quantitative analysis for process monitoring is not possible as the investigated object may change between the two acquisitions. In this Note, spectral fusion is proposed as a concept to overcome this pr...

Influence of moisture variation on the performance of Raman spectroscopy in quantitative pharmaceutical analyses.

To develop a robust quantitative calibration model for spectroscopy, different sources of variability that are not directly related to the components of interest should be included in the calibration samples; this variability should be similar to that which is anticipated during validation and routine operation. Moisture content of pharmaceutical samples can vary as a function of supplier, storage conditions, geographic origin or seasonal variation. Additionally, some pharmaceutical operations (e. g., wet g...


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