Track topics on Twitter Track topics that are important to you
In this study, near-infrared (NIR) and Raman spectroscopy were compared in parallel to predict the glucose concentration of Chinese hamster ovary cell cultivations. A shake flask model system was used to quickly generate spectra similar to bioreactor cultivations therefore accelerating the development of a working model prior to actual cultivations. Automated variable selection and several pre-processing methods were tested iteratively during model development using spectra from six shake flask cultivations. The target was to achieve the lowest error of prediction for the glucose concentration in two independent shake flasks. The best model was then used to test the scalability of the two techniques by predicting spectra of a 10l and a 100l scale bioreactor cultivation. The NIR spectroscopy based model could follow the trend of the glucose concentration but it was not sufficiently accurate for bioreactor monitoring. On the other hand, the Raman spectroscopy based model predicted the concentration of glucose in both cultivation scales sufficiently accurately with an error around 4mM (0.72g/l), that is satisfactory for the on-line bioreactor monitoring purposes of the biopharma industry. Therefore, the shake flask model system was proven to be suitable for scalable spectroscopic model development.
This article was published in the following journal.
Name: Journal of pharmaceutical and biomedical analysis
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 algo...
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 product...
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 bacte...
One of the most ambitious endeavors in the field of diabetes technology is non-invasive glucose sensing. In the past decades, a number of different technologies have been assessed, but none of these h...
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 c...
This study is to evaluate the capability of Raman spectroscopy as a non-invasive method for monitoring concentrations of glucose by illuminating a small spot on the skin, collecting and an...
The purpose of this study is to I. determine several skin parameters, for example natural moisturizing factor (NMF) and cholesterol, with Raman spectroscopy in vivo and II. compare...
The goal of this research program is to develop a simple, noninvasive diagnostic device for assessing skin pathology without the need for a biopsy. The device being studied is a single sys...
This study collected spectral raman data from diabetic patients. Data was paired with validated capillary references as well as CGM/FGM readings. Data was used to develop models for glucos...
To develop and endoscopic Raman spectroscopy probe for delivery down and channel in an endoscope to make near instant assessments of the condition of the oesophagus without the need for ex...
Maintenance of a constant blood glucose level by perfusion or infusion with glucose or insulin. It is used for the study of metabolic rates (e.g., in glucose, lipid, amino acid metabolism) at constant glucose concentration.
Analysis of the intensity of Raman scattering of monochromatic light as a function of frequency of the scattered light.
Pathological conditions in which the BLOOD GLUCOSE cannot be maintained within the normal range, such as in HYPOGLYCEMIA and HYPERGLYCEMIA. Etiology of these disorders varies. Plasma glucose concentration is critical to survival for it is the predominant fuel for the CENTRAL NERVOUS SYSTEM.
An enzyme of the oxidoreductase class that catalyzes the conversion of beta-D-glucose and oxygen to D-glucono-1,5-lactone and peroxide. It is a flavoprotein, highly specific for beta-D-glucose. The enzyme is produced by Penicillium notatum and other fungi and has antibacterial activity in the presence of glucose and oxygen. It is used to estimate glucose concentration in blood or urine samples through the formation of colored dyes by the hydrogen peroxide produced in the reaction. (From Enzyme Nomenclature, 1992) EC 184.108.40.206.
Measurable and quantifiable biological parameters (e.g., specific enzyme concentration, specific hormone concentration, specific gene phenotype distribution in a population, presence of biological substances) which serve as indices for health- and physiology-related assessments, such as disease risk, psychiatric disorders, ENVIRONMENTAL EXPOSURE and its effects, disease diagnosis; METABOLIC PROCESSES; SUBSTANCE ABUSE; PREGNANCY; cell line development; EPIDEMIOLOGIC STUDIES; etc.