Entwicklung und Validierung der Steigbildmethode zur Differenzierung von ausgewählten Lebensmitteln aus verschiedenen Anbausystemen und Verarbeitungsprozessen

Zusammenfassung (deutsch) Seit den 1980iger Jahren wächst die Bedeutung der sog. Bildschaffenden Methoden für die Bestimmung der Qualität ökologischer Produkte. Zu diesen Methoden gehört die Biokristallisation, Steigbild und Rundfilter-Chromatographie. Die Ergebnisse dieser Methoden sind Bilder, die anhand definierter Kriterien ausgewertet werden. Bei der Biokristallisation sind es mehr oder weniger geordnete Kristallisationen auf einer Glasplatte, bei dem Steigbild zweidimensionale Strukturen auf Chromatographiepapier. In der Vergangenheit wurden die Bilder von Spezialisten ausgewertet, die nach einer längeren Schulung produktspezifische Kriterien entwickelt hatten. Im Gegensatz zur Dünnschicht-Chromatographie, wo der einzelne Stoff von der Matrix separiert wird, ist das Ziel beim Steigbild, Strukturen der möglichst ganzen Probe zu erzeugen. Die Methode wurde von Kolisko in den 1929iger Jahren entwickelt, wobei eine Kombination aus Chromatographieprozess und Metallkomplexreaktionen genutzt wurde. Die Firma WALA entwickelte die Methode für die Kontrolle ihrer Produkte und setze Silbernitrat und Eisensulfat ein. Bisher wurde die Methode qualitativ beschreibend ausgewertet, wobei einzelne Bildelemente und deren Interaktion beschrieben wurden. Deshalb musste für die vorliegende Arbeit Auswertungsmethoden entwickelt werden, mit denen auch eine statistische Bearbeitung der Ergebnisse möglich ist (nominale Unterscheidung von proben anhand der Bilder). Die Methode wurde bisher in einer Reihe von Studien eingesetzt (u.a. die Unterscheidung von Produktionsweisen). Obwohl die Bilder nur qualitativ ausgewertet wurden, konnten geschulte Prüfpersonen Proben aus verschiedenen Anbausystemen anhand der Bilder trennen. Die Ergebnisse wurden aber nicht so dokumentiert, dass sie den Erfordernissen internationaler Standardnormen für Laboratorien genügten. Deshalb mussten für diese Arbeit zunächst die Prozeduren dokumentiert und eine systematische Untersuchung zu den Einflussgrößen durchgeführt werden. Dazu wurde die visuelle Bildauswertung entwickelt und standardisiert. Die visuelle Bildauswertung basiert auf morphologischen Kriterien der Bilder von den untersuchten Weizen- und Möhrenproben. Ein Panel aus geschulten Personen entwickelte dann die Kriterien und legte sie anhand von Referenzbildern fest. Die Bilder der vorliegenden Arbeit wurden mit der einfach beschreibenden Prüfung ausgewertet, wie sie aus der sensorischen Prüfung von Lebensmitteln übernommen werden konnte. Mit geschulten und ungeschulten Prüfpersonen wurden Weizenproben und verschiedene Möhrensäfte mit der sog. Dreiecksprüfung ausgewertet (von ISO 4120). Alle Laborprozeduren wurden dokumentiert. Mit der Anwendung dieser Prozeduren wurden Vergleichsversuche mit Laboren in Dänemark und Holland (BRAD, LBI) durchgeführt. Die Ergebnisse waren sowohl für Weizen- als auch für Möhrenproben vergleichbar, wobei alle drei Labore zwischen jeweils zwei Proben unterscheiden konnten. Die systematische Untersuchung zu den Einflussgrößen zeigte, dass das Unterscheidungsvermögen der Methode vor allem von den klimatischen Bedingungen während der Steigphasen beeinflusst wird. Auch die Präkonditionierung der Papiere hat einen großen Einfluss, während die Wasserqualität (ultra-filtriert, de-ionisiert, destilliert) eine untergeordnete Bedeutung hat. Für Weizen- und Möhrenproben wurde sowohl die Wiederholbarkeit als auch die Reproduzierbarkeit getestet. Die Unterschiede in den Bildern der verschiedenen Proben waren dabei immer größer als die Variation durch Proben- und Bildwiederholung und das Labor. Die so charakterisierte Methode wurde auf kodierte Proben von definierten Feldversuchen und auf Marktproben (Paarvergleich von Anbausystemen ökologisch und konventionell) angewandt, wobei als Ergebnis mehr als 90% der Proben mit der einfach beschreibenden Prüfung anhand der Bilder unterschieden werden konnten. Die Auswertung mit der Dreiecksprüfung zeigte, dass sowohl Sorten und Verarbeitungsschritte (Saft) als auch Anbauweisen signifikant getrennt wurden. Darüber hinaus wurde die Methode auch erfolgreich auf Apfelproben angewandt. Weitere Untersuchungen müssen zeigen, ob sich das Potential der Methode, verschiedene Fragen wie die Authentizitätsprüfung von Lebensmitteln verifizieren lassen.

Algunos desarrollos basados en el JUMP para el apoyo logístico y control de calidad en las operaciones de recogida de información estadística

Exhaustive statistical information-gathering operations pose major logistical challenges. By using GISs, managing the associated information becomes simpler, and monitoring the quality control of the information gathered can be stricter

Predicting overall service quality: a structural equation modelling approach

In this article, the results of a modified SERVQUAL questionnaire (Parasuraman et al., 1991) are reported. The modifications consisted in substituting questionnaire items particularly suited to a specific service (banking) and context (county of Girona, Spain) for the original rather general and abstract items. These modifications led to more interpretable factors which accounted for a higher percentage of item variance. The data were submitted to various structural equation models which made it possible to conclude that the questionnaire contains items with a high measurement quality with respect to five identified dimensions of service quality which differ from those specified by Parasuraman et al. And are specific to the banking service. The two dimensions relating to the behaviour of employees have the greatest predictive power on overall quality and satisfaction ratings, which enables managers to use a low-cost reduced version of the questionnaire to monitor quality on a regular basis. It was also found that satisfaction and overall quality were perfectly correlated thus showing that customers do not perceive these concepts as being distinct

Establecimiento de un sistema para el monitoreo y control de la contaminación cruzada en el laboratorio de análisis microbiológico de alimentos durante 2009

Dentro de las actividades para el control de calidad en el laboratorio, los resultados finales de un analito en particular son considerados productos intermedios, dada la pertinencia otorgada al aseguramiento de la calidad como fin último de los programas de gestión de la calidad. Esta concepción precisa el establecimiento de instrumentos integrales para la detección de eventos como la contaminación cruzada y la adopción de medidas para evitar que se afecte la marcha analítica. Objetivo: el objetivo principal fue establecer un sistema para el monitoreo y control de la contaminación cruzada en el laboratorio de análisis microbiológico de alimentos. Materiales y métodos: la metodología empleada consistió en desarrollar diagramas de flujo para los procedimientos sobre el control de las poblaciones de mesófilos aerobios y mohos provenientes de la contaminación en los ambientes, superficies, material estéril y medios de cultivos. Dichos diagramas incluyeron un árbol de decisiones, diseñado para efectuar acciones de control con base en los intervalos de tolerancia, establecidos como herramienta objetiva hacia la toma de decisiones que normalicen los recuentos de las poblaciones microbianas en cuestión. Resultados: los límites de alerta más estrictos se obtuvieron para las poblaciones de mesófilos aerobios y mohos en los diferentes controles, excepto para el ambiente del área de preparación de medios y los correspondientes al material estéril. Conclusión: el proceso desarrollado permitió complementar el sistema de control de calidad interno en el laboratorio, al disponer de un medio objetivo para el cierre de no conformidades por contaminación cruzada.

Bases para la implementación del programa administración moderna de la Seguridad y Control de pérdidas en la gerencia llanos de Ecopetrol

Emplear la seguridad como herramienta de competitividad se traducirá a largo plazo en la eliminación o disminución de todos los gastos innecesarios que se generan por errores, desperdicios, fugas, accidentes, interrupciones no programadas, etc.

Allelic size standards and reference genotypes to unify international cocoa (Theobroma cacao L.) microsatellite data

Standardisation of microsatellite allele profiles between laboratories is of fundamental importance to the transferability of genetic fingerprint data and the identification of clonal individuals held at multiple sites. Here we describe two methods of standardisation applied to the microsatellite fingerprinting of 429 Theobroma cacao L. trees representing 345 accessions held in the worlds largest Cocoa Intermediate Quarantine facility: the use of a partial allelic ladder through the production of 46 cloned and sequenced allelic standards (AJ748464 to AJ48509), and the use of standard genotypes selected to display a diverse allelic range. Until now a lack of accurate and transferable identification information has impeded efforts to genetically improve the cocoa crop. To address this need, a global initiative to fingerprint all international cocoa germplasm collections using a common set of 15 microsatellite markers is in progress. Data reported here have been deposited with the International Cocoa Germplasm Database and form the basis of a searchable resource for clonal identification. To our knowledge, this is the first quarantine facility to be completely genotyped using microsatellite markers for the purpose of quality control and clonal identification. Implications of the results for retrospective tracking of labelling errors are briefly explored.

Application of near and mid-infrared spectroscopy to determine cheese quality and authenticity

This paper reviews the current state of development of both near-infrared (NIR) and mid-infrared (MIR) spectroscopic techniques for process monitoring, quality control, and authenticity determination in cheese processing. Infrared spectroscopy has been identified as an ideal process analytical technology tool, and recent publications have demonstrated the potential of both NIR and MIR spectroscopy, coupled with chemometric techniques, for monitoring coagulation, syneresis, and ripening as well as determination of authenticity, composition, sensory, and rheological parameters. Recent research is reviewed and compared on the basis of experimental design, spectroscopic and chemometric methods employed to assess the potential of infrared spectroscopy as a technology for improving process control and quality in cheese manufacture. Emerging research areas for these technologies, such as cheese authenticity and food chain traceability, are also discussed.

Combined use of satellite estimates and rain gauge observations to generate high-quality historical rainfall time series over Ethiopia

Climate data are used in a number of applications including climate risk management and adaptation to climate change. However, the availability of climate data, particularly throughout rural Africa, is very limited. Available weather stations are unevenly distributed and mainly located along main roads in cities and towns. This imposes severe limitations to the availability of climate information and services for the rural community where, arguably, these services are needed most. Weather station data also suffer from gaps in the time series. Satellite proxies, particularly satellite rainfall estimate, have been used as alternatives because of their availability even over remote parts of the world. However, satellite rainfall estimates also suffer from a number of critical shortcomings that include heterogeneous time series, short time period of observation, and poor accuracy particularly at higher temporal and spatial resolutions. An attempt is made here to alleviate these problems by combining station measurements with the complete spatial coverage of satellite rainfall estimates. Rain gauge observations are merged with a locally calibrated version of the TAMSAT satellite rainfall estimates to produce over 30-years (1983-todate) of rainfall estimates over Ethiopia at a spatial resolution of 10 km and a ten-daily time scale. This involves quality control of rain gauge data, generating locally calibrated version of the TAMSAT rainfall estimates, and combining these with rain gauge observations from national station network. The infrared-only satellite rainfall estimates produced using a relatively simple TAMSAT algorithm performed as good as or even better than other satellite rainfall products that use passive microwave inputs and more sophisticated algorithms. There is no substantial difference between the gridded-gauge and combined gauge-satellite products over the test area in Ethiopia having a dense station network; however, the combined product exhibits better quality over parts of the country where stations are sparsely distributed.

Application of multivariable control using artificial neural networks in a debutanizer distillation column

LOPES, Jose Soares Batista et al. Application of multivariable control using artificial neural networks in a debutanizer distillation column.In: INTERNATIONAL CONGRESS OF MECHANICAL ENGINEERING - COBEM, 19, 5-9 nov. 2007, Brasilia. Anais... Brasilia, 2007

Desenvolvimento de metodologias analíticas alternativas por cromatografia gasosa para análise de biodiesel

Since the beginning of the National Program for Production and Use of Biodiesel in Brazil, in 2004, different raw materials were evaluated for biodiesel production, trying to combine the agricultural diversity of the country to the desire to reduce production coasts. To determine the chemical composition of biodiesel produced from common vegetables oils, international methods have been used widely in Brazil. However, for analyzing biodiesel samples produced from some alternative raw materials analytical problems have been detected. That was the case of biodiesel from castor oil. Due the need to overcome these problems, new methodologies were developed using different chromatographic columns, standards and quantitative methods. The priority was simplifying the equipment configuration, realizing faster analyses, reducing the costs and facilitating the routine of biodiesel research and production laboratories. For quantifying free glycerin, the ethylene glycol was used in instead of 1,2,4-butanetriol, without loss of quality results. The ethylene glycol is a cheaper and easier standard. For methanol analyses the headspace was not used and the cost of the equipment used was lower. A detailed determination of the esters helped the deeper knowledge of the biodiesel composition. The report of the experiments and conclusions of the research that resulted in the development of alternative methods for quality control of the composition of the biodiesel produced in Brazil, a country with considerable variability of species in agriculture, are the goals of this thesis and are reported in the following pages

Desenvolvimento e validação de método analítico para determinação de WE010, WE014 e WE017

The synthetic guanylhydrazones WE010 (3,5-di-tert-butil-4-hidroxibenzaldehyde-guanylhydrazone), WE014 (4-bifenilcarboxialdehydeguanylhydrazone) and WE017 (3,4-diclorobenzaldehydeguanylhydrazone) showed high cytotoxic activity in terms of percentage inhibition of cancer cells growth. However, further progress in the development of these drug candidates requires precise and convenient methods for their qualitative and quantitative analyses. The aim of this study was to develop and validate High Performance Liquid Chromatography with diode-array detection (HPLC-DAD) and Ultra Fast Liquid Chromatography with diode-array detection (UFLC-DAD) methods suitable for as simultaneous as isolated determination of studied guanylhydrazones, based on the optimization of chromatographic parameters and obtaining reduced detection times. The chromatographic analyses of analytes by HPLC were performed on C18 ACE analytical column (150 mm x 4.6 mm), with a particle size of 5.0 μm. Among all the conditions assayed, the best results of separation were obtained with a mixture of methanol:water (60:40, v/v) as the mobile phase at a flow rate 1.5mL/min and pH of 3.5 adjusted at acetic acid. The UFLC method was developed by experimetal desing techniques in order to find optimal chromatographic analytical conditions, which were achieved on XR-ODS analytical column (50 mm x 3.0 mm), with a particle size of 2,2 μm, maintained at 25 ºC. The mobile phase was consisted of methanol:water (65:35, v/v) with 0.1% triethylamine (TEA) and pH of 3.5 adjusted at acetic acid, at a flow rate 0.5 mL/min. The procedure were validated following evaluating parameters such as specificity, linearity, limits of detection (LD) and quantification (LQ), precision, accuracy and robustness, giving results within the acceptable range. Although the UFLC method shows better sensitivity (lower values of LD and LQ), robustness (lower rates of relative standard deviation) and minimize spending time and solvent, both developed methods were adequately applied to the analysis of guanylhydrazones molecules, may be used in routine of quality control laboratories. Keywords: guanylhydrazones, HPLC/DAD, UFLC/DAD, validation of analitical method

Autopsy: quality assurance in the ICU

Objective: To examine the correlation between the clinical diagnosis and autopsy findings in adult patients who died in an intensive care unit (ICU). To determine the rate of agreement of the basic and terminal causes of death and the types of errors in order to improve quality control of future care,Design, Retrospective study.Setting: Adult ICU in a university hospital.Patients: 30 adult patients who died in the ICU. with the exclusion of medicolegal cases.Methods and main results: Anatomo-clinical meetings were held to analyze the pre- and postmortem correlations in 30 consecutive autopsies at the ICU of the University Hospital, School of Medicine of Botucatu/ UNESP, from January 1994 to January 1997. The rate of correct clinical diagnoses of the basic cause was 66.7 %; in 23.3 % of cases, if the correct diagnosis was made, management would have been different, as would have been the evolution of the patient's course (Class I error): in 10 % of the cases the error would not have led to a change in management (Class II error). The rate of correct clinical diagnoses of terminal cause was 80 %.Conclusions: the rate of recognition of the basic cause was 66.7 %, which is consistent with the literature, but the Class I error rate was higher than that reported in the literature.

Screening Brazilian automotive gasoline quality through quantification of saturated hydrocarbons and anhydrous ethanol by gas chromatography and exploratory data analysis

In this paper a set of Brazilian commercial gasoline representative samples from São Paulo State, selected by HCA, plus six samples obtained directly from refineries were analysed by a high-sensitive gas chromatographic (GC) method ASTM D6733. The levels of saturated hydrocarbons and anhydrous ethanol obtained by GC were correlated with the quality obtained from Brazilian Government Petroleum, Natural Gas and Biofuels Agency (ANP) specifications through exploratory analysis (HCA and PCA). This correlation showed that the GC method, together with HCA and PCA, could be employed as a screening technique to determine compliance with the prescribed legal standards of Brazilian gasoline.

Adaptive control charts: A Markovian approach for processes subject to independent disturbances

Recent studies have shown that adaptive X control charts are quicker than traditional X charts in detecting small to moderate shifts in a process. In this article, we propose a joint statistical design of adaptive X and R charts having all design parameters varying adaptively. The process is subjected to two independent assignable causes. One cause changes the process mean and the other changes the process variance. However, the occurrence of one kind of assignable cause does not preclude the occurrence of the other. It is assumed that the quality characteristic is normally distributed and the time that the process remains in control has exponential distribution. Performance measures of these adaptive control charts are obtained through a Markov chain approach. (c) 2005 Elsevier B.V. All rights reserved.

Screening Brazilian C gasoline quality: Application of the SIMCA chemometric method to gas chromatographic data

A total of 2400 samples of commercial Brazilian C gasoline were collected over a 6-month period from different gas stations in the São Paulo state, Brazil, and analysed with respect to 12 physicochemical parameters according to regulation 309 of the Brazilian Government Petroleum, Natural Gas and Biofuels Agency (ANP). The percentages (v/v) of hydrocarbons (olefins, aromatics and saturated) were also determined. Hierarchical cluster analysis (HCA) was employed to select 150 representative samples that exhibited least similarity on the basis of their physicochemical parameters and hydrocarbon compositions. The chromatographic profiles of the selected samples were measured by gas chromatography with flame ionisation detection and analysed using soft independent modelling of class analogy (SIMCA) method in order to create a classification scheme to identify conform gasolines according to ANP 309 regulation. Following the optimisation of the SIMCA algorithm, it was possible to classify correctly 96% of the commercial gasoline samples present in the training set of 100. In order to check the quality of the model, an external group of 50 gasoline samples (the prediction set) were analysed and the developed SIMCA model classified 94% of these correctly. The developed chemometric method is recommended for screening commercial gasoline quality and detection of potential adulteration. (c) 2007 Elsevier B.V. All rights reserved.