Fluorescence Spectroscopy as a Tool for Ethanol Fermentation On-line Monitoring

Ranzan, Cassiano; Trierweiler, Jorge O.; Hitzmann, Bernd; Trierweiler, Jorge Otávio

doi:10.3182/20120710-4-sg-2026.00166

Cited by 6 publications

(13 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Most of the publications concentrate on bacteria, yeast, and fungi cultivations. 4,10,19 However, 2DFS was also used in cell culture applications to predict various parameters. The GFP expressing mouse myeloma cell line NS0 was studied by Hisiger and Jolicoeur.…”

Section: Changementioning

confidence: 99%

See 1 more Smart Citation

Exploring the capabilities of fluorometric online monitoring on chinese hamster ovary cell cultivations producing a monoclonal antibody

Schwab

Amann

Schmid

et al. 2016

Biotechnology Progress

View full text Add to dashboard Cite

Online monitoring of Chinese hamster ovary fed-batch cell cultures via two-dimensional fluorescence spectroscopy (2DFS) was evaluated in this work. Particular attention was directed toward different process strategies regarding the use of nutrient-rich feed media and temperature shifts. These intentionally performed process manipulations broadened the variances in the obtained fluorescence spectra and this was suspected to hamper the generation of reliable soft sensors. Principal component analysis of the obtained fluorescence data showed that temperature shift and feeding strategy had a considerable impact on the fluorescence signals. Partial least square regression models were calculated for the prediction of glucose, lactate, monoclonal antibody (mAb), and viable cell concentrations (VCC). It was aimed to integrate all 2DFS datasets in the respective calibration models regardless of the process-strategy-dependent diversity. Contrary to the expectations, it was feasible to calibrate soft sensors for the online prediction of glucose (7 latent variables (LVs), Rcal2 = 0.97, rout mean squared error of prediction (RMSEP) = 1.1 g L ), lactate (5 LV; Rcal2 = 0.96; RMSEP = 0.5 g L ) and mAb concentrations (4 LV; Rcal2 = 0.99; RMSEP = 11.4 mg L ). Feeding and temperature shifts had the highest impact on the VCC model (3 LV; Rcal2 = 0.94; RMSEP 3.8 × 10 mL ), nevertheless the prediction of VCC from the fed-batch 2DFS data was feasible. The results strongly indicate that variances in the datasets due to the process strategy can be tolerated to some extent by the respective soft sensors. © 2016 American Institute of Chemical Engineers Biotechnol. Prog., 32:1592-1600, 2016.

show abstract

Section: Changementioning

confidence: 99%

“…The on‐line monitoring of substrate, product, or biomass concentrations is described in literature for fed‐batch and batch cultivations. Most of the publications concentrate on bacteria, yeast, and fungi cultivations . However, 2DFS was also used in cell culture applications to predict various parameters.…”

Section: Introductionmentioning

confidence: 99%

Exploring the capabilities of fluorometric online monitoring on chinese hamster ovary cell cultivations producing a monoclonal antibody

Schwab

Amann

Schmid

et al. 2016

Biotechnology Progress

View full text Add to dashboard Cite

show abstract

“…Advanced chemometric methods can achieve improvements in already existing methods. Ranzan et al 22 were using ant colony algorithms to choose the best wavelengths of the NIR spectra to reduce the error of protein measurements by 46 %. In a similar investigation, Soares et al 23 were able to predict the protein concentration with a maximal error of 0.18 % by using a genetic algorithm instead of the ant colony algorithm.…”

Section: Near‐infrared (Nir) Spectroscopymentioning

confidence: 99%

Supervision of Food Manufacturing Processes Using Optical Process Analyzers – An Overview

et al. 2016

Self Cite

View full text Add to dashboard Cite

The food industry is the fourth largest industrial sector in Germany. The eagerness for innovation is classified as low. The food industry faces significantly larger challenges compared to the chemical industry since the demands of raw materials on processing are higher and more complex. In this contribution, the characteristics of food manufacturing are presented. The potential of optical process analyzers based on NIR, fluorescence, and Raman spectroscopy as well as on digital image analysis is demonstrated. These process analyzers can provide important information on raw materials, intermediate and end products, and improve the automation grade of production processes.

show abstract

“…Ranzan et al nutzten einen Ameisenkolonie‐Algorithmus zur Wellenlängenselektion und unterschiedliche chemometrische Modelle zur Auswertung von Spektren, die von Weizenmehl aufgenommen wurden 21. Ziel war die Vorhersage der Proteinkonzentration.…”

Section: Nir‐spektroskopieunclassified

Optische Prozessanalysatoren für die Lebensmittelindustrie

Zettel

Ahmad

Hitzemann

et al. 2016

Chemie Ingenieur Technik

Self Cite

View full text Add to dashboard Cite

Die Innovationsfreude der Lebensmittelindustrie wird als gering eingestuft, obgleich sie in Deutschland die viertgrößte Industriebranche darstellt. Jedoch sind die Herausforderungen in der Lebensmittelindustrie deutlich größer als zum Beispiel in der chemischen Industrie. Die Rohstoffe sind meist komplexer und an ihre Verarbeitung werden zumeist höhere Anforderungen gestellt. Am Beispiel von optischen Messverfahren wird das Potenzial der Prozessanalytik zur Bereitstellung von Informationen über Rohstoffe, Zwischen-und Endprodukte von Lebensmittelherstellungsprozessen dargestellt. Optical Process Analyzers in the Food IndustryThe innovation enthusiasm of the food industry is considered to be low, although it is the fourth largest industrial sector in Germany. However, the challenges in the food industry are significantly larger than for example in the chemical industry. The raw materials are usually more complex and higher demands are usually placed on their processing. Using the example of optical measurement methods, the potential of process analytics to provide information on raw materials, intermediate and end products is demonstrated for food production processes.

show abstract

Fluorescence Spectroscopy as a Tool for Ethanol Fermentation On-line Monitoring

Cited by 6 publications

References 16 publications

Exploring the capabilities of fluorometric online monitoring on chinese hamster ovary cell cultivations producing a monoclonal antibody

Exploring the capabilities of fluorometric online monitoring on chinese hamster ovary cell cultivations producing a monoclonal antibody

Supervision of Food Manufacturing Processes Using Optical Process Analyzers – An Overview

Optische Prozessanalysatoren für die Lebensmittelindustrie

Contact Info

Product

Resources

About