Opportunities for the Herring Industry to Optimize Operations Through Information Recording, Effective Traceability Systems, and Use of Advanced Data Analysis

Frosch, Stina; Randrup, Maria; Frederiksen, Marco Thorup

doi:10.1080/10498850802369179

Cited by 11 publications

(3 citation statements)

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“…The information flow in the value chain must be adapted to be able to handle requests from the primary processing, or even further down the value chain. Despite the development within traceability systems, the norm today is that no or only little information follows the fish, except what is required by law, and hence will not be passed on to the next step in the value chain (Frosch et al 2008). This makes it difficult to optimize along the value chain, as information is not shared between and over the processing links.…”

Section: Further Analysis Of Deviating Samplesmentioning

confidence: 99%

Analysis of the production of salmon fillet – Prediction of production yield

Ørnholt-Johansson

Guðjónsdóttir

Nielsen³

et al. 2017

Journal of Food Engineering

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Section: Further Analysis Of Deviating Samplesmentioning

confidence: 99%

Analysis of the production of salmon fillet – Prediction of production yield

Ørnholt-Johansson

Guðjónsdóttir

Nielsen³

et al. 2017

Journal of Food Engineering

Self Cite

View full text Add to dashboard Cite

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Section: Perspectives For Spectral Image Analysismentioning

confidence: 99%

Wide Spectra of Quality Control

Akyar¹

2011

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Analytical Method Validationanalytical procedures is equally important to those listed herein, and it may be addressed in subsequent documents. Category II Analytical performance characteristics Category I Quantitative Limit tests Category III Category IV Wide Spectra of Quality Control 8experiments so that, with a minimum number of control analyses, the method and the complete analytical system will provide long-term results to meet the objectives defined in the scope of the method. Documentation Validation protocolDepending upon of the culture of the company, a method validation protocol could be simple (listed below) or exhaustive (in addition to the listed items, each parameter to be validated is described in detail): How solutions are going to be made, the experimental design, how the calculations are going to be performed, any software to be utilized (e.g., Excel). If a full-length protocol is required within a particular company, then the writing of this protocol and approval of the protocol would need to be completed prior to the commencement of the validation work. Otherwise, there may be many deviations to the protocol which will be needed to be referenced in the final method validation report. Some companies also have templates for the validation reports, thereby allowing for facile population of the results. Once populated, the file is reviewed to determine if all validation parameters and acceptance criteria were met. If they were not met, a deviation is added and the proper justification must be given. If it is deemed that the justification is not appropriate, then an action plan for the specific figure of merit in question is determined (i.e., repeat analysis, change of the analytical procedure, and revalidation). Also, if the analytical method has not been approved at the time of writing the validation protocol yet, it is recommended to attach a final draft of the method to the protocol. Before starting the experimental work, the protocols must be written by a qualified person and approved by a quality assurance department. Some of the items that are necessary to be specified in the validation protocol are listed below:• The analytical method for a given product or drug substance.• The test to be validated.• The test parameters for each test, including type and number of solutions and number of tests. • The acceptance criteria for each parameter based on an internal standard operational procedure (product or method-specific adaptations may be necessary and are acceptable, if justified). • List of batches of drug substance and/or drug products.• For a drug product the grade/quality of the excipients used in the formulation.• List of reference materials to be used in the validation experiments.• Information of the instruments and apparatus to be used.• Responsibilities [author, chemists, analytical research project leader, quality assurance, and etc.].Wide Spectra of Quality Control 20 ConclusionThis chapter described the fundamentals and figures of merit for method validation in pharmaceutical anal...

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“…An individual/batch sorting will ensure the best quality of the processed raw material where the knowledge from the raw product will be utilized based on known capacities. Ensuring a well designed and implemented traceability system in the production is therefore of significant importance (Frosch Møller, 2005;Frosch et al, 2008). It is expected that vision systems based on spectral imaging will be employed to a much larger extent in the coming years, and that the food processing industry is an area where the added information in a spectral image can be exploited to improve the quality and or reduce the production cost.…”

Section: Perspectives For Spectral Image Analysismentioning

confidence: 99%