Direct comparison of four different biomass estimation techniques against conventional dry weight measurements.
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| Title: | Direct comparison of four different biomass estimation techniques against conventional dry weight measurements. |
|---|---|
| Authors: | Galvanauskas, V., Simutis, R., Lübbert, A. |
| Source: | Process Control & Quality. 1998, Vol. 11 Issue 2, p119-124. 6p. 1 Chart, 4 Graphs. |
| Subjects: | Process control systems, Biomass |
| Abstract: | Many indirect biomass estimation techniques have been discussed in the literature; however, a comparison of the applicability of these methods for bioprocess control purposes has not been discussed comprehensively. In this paper, four different uncomplicated biomass measurement techniques were directly compared with the conventional biomass dry weight measurement, and the possibilities of their implementation in process control environments is discussed. These techniques are estimations based on laser turbidimeter signals, measurement of cell numbers and sizes, estimations based on the oxygen mass balance, and, finally, estimations based on the base consumption during pH control. All these techniques led to essentially the same quality of estimations. The comparisons were performed in experiments with two bacteria strains. Cross-validation analyses showed that all measurements are sufficiently accurate for process supervision and control purposes. The final decision about implementation of one of the techniques discussed must be made under consideration of the available equipment, the microorganisms to be cultivated and the cultivation conditions. [ABSTRACT FROM AUTHOR] |
| Copyright of Process Control & Quality is the property of VSP International Science Publishers and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 5000154 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Direct comparison of four different biomass estimation techniques against conventional dry weight measurements. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Galvanauskas%2C+V%2E%22">Galvanauskas, V.</searchLink><br /><searchLink fieldCode="AR" term="%22Simutis%2C+R%2E%22">Simutis, R.</searchLink><br /><searchLink fieldCode="AR" term="%22Lübbert%2C+A%2E%22">Lübbert, A.</searchLink> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Process+Control+%26+Quality%22">Process Control & Quality</searchLink>. 1998, Vol. 11 Issue 2, p119-124. 6p. 1 Chart, 4 Graphs. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Process+control+systems%22">Process control systems</searchLink><br /><searchLink fieldCode="DE" term="%22Biomass%22">Biomass</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Many indirect biomass estimation techniques have been discussed in the literature; however, a comparison of the applicability of these methods for bioprocess control purposes has not been discussed comprehensively. In this paper, four different uncomplicated biomass measurement techniques were directly compared with the conventional biomass dry weight measurement, and the possibilities of their implementation in process control environments is discussed. These techniques are estimations based on laser turbidimeter signals, measurement of cell numbers and sizes, estimations based on the oxygen mass balance, and, finally, estimations based on the base consumption during pH control. All these techniques led to essentially the same quality of estimations. The comparisons were performed in experiments with two bacteria strains. Cross-validation analyses showed that all measurements are sufficiently accurate for process supervision and control purposes. The final decision about implementation of one of the techniques discussed must be made under consideration of the available equipment, the microorganisms to be cultivated and the cultivation conditions. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Process Control & Quality is the property of VSP International Science Publishers and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1163/156856698750247786 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 6 StartPage: 119 Subjects: – SubjectFull: Process control systems Type: general – SubjectFull: Biomass Type: general Titles: – TitleFull: Direct comparison of four different biomass estimation techniques against conventional dry weight measurements. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Galvanauskas, V. – PersonEntity: Name: NameFull: Simutis, R. – PersonEntity: Name: NameFull: Lübbert, A. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 07 Text: 1998 Type: published Y: 1998 Identifiers: – Type: issn-print Value: 09243089 Numbering: – Type: volume Value: 11 – Type: issue Value: 2 Titles: – TitleFull: Process Control & Quality Type: main |
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