Processing deteriorated beet. Part 1: Indicative and quantitative analysis of the degree of deterioration

2021 ◽  
pp. 92-99
Author(s):  
Jan Maarten de Bruijn
Keyword(s):  
Quantitative Analysis ◽  
Sugar Beet ◽  
Performance Indicators ◽  
Visual Inspection ◽  
Early Stage ◽  
Quality Parameters ◽  
Invert Sugar ◽  
Critical Levels ◽  
Process Operation ◽  
And Performance

For purpose of process control and measures to handle deteriorated beet material it is of the utmost importance to monitor the beet quality parameters indicating beet deterioration. This paper presents an overview of the most appropriate methods to be applied: visual inspection of beet material, analysis of marker components like mannitol and invert sugar, and the analysis of dextran. Critical levels of these components in sugar beet are mentioned, beyond which actions in process operation should be undertaken. Recognizing deteriorating beet quality at an early stage is possible by attention to sudden or gradual changes of particular process parameters and performance indicators, which will be briefly explained.

Development of the sugar beet quality in the Netherlands since 1980 and introduction of invert sugar as a new parameter for beet quality assessment

2015 ◽  
pp. 95-103 ◽  
Author(s):  
Dirk P. Vermeulen
Keyword(s):  
The Netherlands ◽  
Sugar Beet ◽  
Quality Assessment ◽  
Sugar Content ◽  
Quality Parameters ◽  
Invert Sugar ◽  
Internal Quality ◽  
Glucose Content ◽  
Thick Juice ◽  
Trial Phase

The technological beet quality has been always important for the processors of sugar beet. An investigation into the development of the beet quality in the Netherlands since 1980 has shown that beet quality has improved significantly. Internal quality parameters that are traditionally determined in the beet laboratory, i.e. sugar content, Na, K and -aminoN, all show an improving trend over the years. In the factories, better beet quality has led to lower lime consumption in the juice purification and significantly higher thick juice purity. In 2013, Suiker Unie introduced the serial analysis of the glucose content in beet brei as part of the routine quality assessment of the beet. The invert sugar content is subsequently calculated from glucose content with a new correlation. The background, the trial phase and the first experiences with the glucose analyzer are discussed.

Performance Indicators and Accountability in Portuguese Public Universities

2018 ◽  
pp. 210-233
Author(s):  
Augusta da Conceição Santos Ferreira ◽  
Carlos Santos ◽  
Graça Maria do Carmo Azevedo ◽  
Judite Gonçalves ◽  
Jonas da Silva Oliveira
Keyword(s):  
Higher Education ◽  
Content Analysis ◽  
Quantitative Analysis ◽  
Public Sector ◽  
Performance Indicators ◽  
Public Universities ◽  
Higher Education Institutions ◽  
Least Squares Regression ◽  
The Public ◽  
And Performance

The public sector in Portugal has undergone major reforms, coercing institutions of higher education into greater transparency in accountability and performance indicators. The purpose of this chapter is to evaluate the level of disclosure of performance indicators by the Higher Education Institutions in Portuguese Public Universities, with a special emphasis on the obligatory nature and to evaluate if there are factors that influence the level of disclosure. This study was based on the content analysis of the management or activity reports of the 13 Portuguese public universities to calculate de level of disclosure, and used the quantitative analysis based on the Least-squares regression on the investigation of factors that influence the level of disclosure. According to the data obtained, it can be concluded that Portuguese Public Universities discloses performance indicators imposed by law and voluntarily, and it was verified that the level of disclosure is influenced by the variables dimension, financing from other sources of funding and the ranking of web of universities.

scholarly journals Qualitative and Quantitative Picture of Innovation in Russia

2014 ◽  
Vol 6 (4) ◽  
pp. 168-176 ◽  
Author(s):  
Liudmila Guzikova
Keyword(s):  
Quantitative Analysis ◽  
Performance Indicators ◽  
General Characteristic ◽  
Innovative Activity ◽  
Qualitative And Quantitative ◽  
Current State ◽  
Quantitative Characteristics ◽  
And Performance ◽  
To Receive

In the paper the general characteristic of innovative activity in Russia is given, the factors of innovation are identified; the performance indicators of innovation are determined; the qualitative relations between the factors and performance indicators of innovation are identified; the models of quantitative analysis of relation between the factors and performance indicators of innovation are proposed; the proposed models are applied to receive quantitative characteristics; the current state, prospects and development priorities of innovation in Russia are assessed.

Impact of beet quality on sugar manufacture Part 2. Impact of invert sugar on beet processing

2020 ◽  
pp. 154-160
Author(s):  
Jan Maarten de Bruijn
Keyword(s):  
Sugar Beet ◽  
Sugar Content ◽  
Quality Criteria ◽  
Quality Parameters ◽  
Invert Sugar ◽  
Quality Analysis ◽  
Sugar Recovery ◽  
Glucose Content ◽  
Recent Developments ◽  
The Impact

In the earlier SugarProTech Facts1, Part 1, it has been explained that, apart from the traditional beet quality criteria (i.e. sugar content, K, Na, N, soil tare), additional quality criteria should be looked upon too, so to reduce their impact on processing. The invert sugar content of sugar beet is one of the most important quality parameters and thanks to recent developments it is now possible to routinely determine the glucose content of sugar beet in the tarehouse from which the total invert sugar content can be calculated. In Part 2 of this beet quality topic it will be demonstrated that incorporating invert sugar in the (Dutch) formula for predicting the sugar loss to molasses – and so the extractability of sugar from beet – has markedly improved the correlation between beet quality analysis and sugar recovery in factory practice. The impact of the invert sugar content in beet on both sugar recovery and the need of alkali addition to process will be quantified, thereby distinguishing different beet qualities.

The Frequency of Occurrence of Handwriting Performance Features Used to Predict Whether Questioned Signatures are Simulated

2018 ◽  
Vol 28 ◽  
pp. 35-42
Author(s):  
David Black ◽  
Bryan Found ◽  
Doug Rogers
Keyword(s):  
Large Population ◽  
Quality Parameters ◽  
Frequency Of Occurrence ◽  
Relative Speed ◽  
Simulation Process ◽  
Spatial Features ◽  
And Performance ◽  
Document Examiners ◽  
Line Trace

Forensic Document Examiners (FDEs) examine the physical morphology and performance attributes of a line trace when comparing questioned to specimen handwriting samples for the purpose of determining authorship. Along with spatial features, the elements of execution of the handwriting are thought to provide information as to whether or not a questioned sample is the product of a disguise or simulation process. Line features such as tremor, pen-lifts, blunt beginning and terminating strokes, indicators of relative speed, splicing and touch ups, are subjectively assessed and used in comparisons by FDEs and can contribute to the formation of an opinion as to the validity of a questioned sample of handwriting or signatures. In spite of the routine use of features such as these, there is little information available regarding the relative frequency of occurrence of these features in populations of disguised and simulated samples when compared to a large population of a single individual’s signature. This study describes a survey of the occurrence of these features in 46 disguised signatures, 620 simulated signatures (produced by 31 different amateur forgers) and 177 genuine signatures. It was found that the presence of splices and touch-ups were particularly good predictors of the simulation process and that all line quality parameters were potentially useful contributors in the determination of the authenticity of questioned signatures. Purchase Article - $10

Susceptibility to root tip breakage increases storage losses of sugar beet genotypes

2016 ◽  
pp. 625-632 ◽  
Author(s):  
Christa Hoffmann ◽  
Katharina Schnepel
Keyword(s):  
Sugar Beet ◽  
Sugar Content ◽  
Close Correlation ◽  
Invert Sugar ◽  
Root Tip ◽  
Sugar Accumulation ◽  
Genotypic Differences ◽  
Storage Losses ◽  
Controlled Conditions ◽  
Sugar Loss

Good storability of sugar beet is of increasing importance, not only to reduce sugar losses, but also with regard to maintaining the processing quality. Genotypic differences are found in storage losses. However, it is not clear to which extent damage may contribute to the genotypic response. The aim of the study was to quantify the effect of root tip breakage on storage losses of different genotypes. For that purpose, in 2012 and 2013, six sugar beet genotypes were grown in field trials at two locations. After lifting roots were damaged with a cleaning device. They were stored for 8 and 12 weeks, either under controlled conditions in a climate container at constant 8°C, or under ambient temperature in an outdoor clamp. The close correlation underlines that storage losses under controlled conditions (constant temperature) can well be transferred to conditions in practice with fluctuating temperature. The strongest impact on invert sugar accumulation and sugar loss after storage resulted from storage time, followed by damage and growing environment (year × growing site). Cleaning reduced soil tare but increased root tip breakage, in particular for genotypes with low marc content. During storage, pathogen infestation and invert sugar content of the genotypes increased with root tip breakage, but the level differed between growing environments. Sugar loss was closely related to invert sugar accumulation for all treatments, genotypes and environments. Hence, it can be concluded that root tip breakage contributes considerably to storage losses of sugar beet genotypes, and evidently genotypes show a different susceptibility to root tip breakage which is related to their marc content. For long-term storage it is therefore of particular importance to avoid damage during the harvest operations and furthermore, to have genotypes with high storability and low susceptibility to damage.

Sugar beet from field clamps -harvest quality and storage loss

2018 ◽  
pp. 639-647 ◽  
Author(s):  
Christa Hoffmann
Keyword(s):  
Sugar Beet ◽  
Surface Damage ◽  
Invert Sugar ◽  
Root Tip ◽  
Soil Conditions ◽  
Storage Losses ◽  
Commercial Sugar ◽  
And Storage ◽  
High Storage

Harvest quality of sugar beet varies according to soil conditions, harvester type and setting, and variety, too. Harvest quality may affect storage losses, in particular when injuries occur. To determine the harvest quality of commercial sugar beet and to quantify resulting storage losses, 92 commercial sugar beet clamps were sampled across Germany and information about harvest conditions were gathered. At IfZ, soil tare, leaf residues, topping diameter, root tip breakage and surface damage of the beets were determined. The beets were stored in 6 replicates in a climate container at 9°C for 10 weeks. The results demonstrate a rather good harvesting quality of sugar beet in Germany. Soil moisture at harvest did not affect harvest quality and storage losses. Very light, but also heavier soils lead to inferior harvest quality (soil tare, root tip breakage, damage) and slightly higher storage losses compared to the typical loam soils. Significant differences occurred between the three harvester types (companies). In general, high root tip breakage and severe surface damage of the beet was related to a high infestation with mould and rots, high invert sugar contents after storage and high sugar losses. Out of the five most planted varieties, in particular one turned out to be very susceptible to damage, resulting in high storage losses. The factor analysis suggests that the effect of harvester / harvester setting and of variety is more important for harvest quality and storage losses of sugar beet than soil conditions at harvest. Therefore, attention should be paid to optimize these conditions.

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