Development of a quality index method (QIM) sensory scheme and study of shelf-life of ice-stored blackspot seabream (Pagellus bogaraveo)

The aim of this work was to develop a quality index method (QIM) scheme for whole ice-boxed refrigerated blackspot seabream and to perform shelf-life evaluations, using sensory analysis, GR Torrymeter measurements and bacterial counts of specific spoilage organisms (SSO) during chilled storage. A QIM scheme based on a total of 30 demerit points was developed. Sensory, physical and microbiological data were integrated and used to determine the rejection point. Results indicated that the shelf-life of blackspot seabream is around 12-13 days. (C) 2011 Elsevier Ltd. All rights reserved.

Desenvolvimento do método de Índice de Qualidade ("QIM-Quality Index Method") para as lapas (Patella candei e Patella aspera) e estudo das suas condições de transporte

Dissertação de Mestrado, Estudos Integrados dos Oceanos, 15 de Março de 2016, Universidade dos Açores.

Appraising the shelf life of farmed cobia, Rachycentron canadum, by application of a quality index method.

Freshness is the main concern of seafood quality, and the principal method to evaluate seafood freshness is sensory evaluation. The aim of this work was to study the quality changes of cobia, Rachycentron canadum, under ice storage through sensory and physical analysis as well as bacterial counting of specific spoilage organisms (SSOs). In particular, the utilization of a quality index method (QIM) scheme was proposed. Samples stored for 0-30 d were analyzed with the QIM.

Avaliação sensorial da frescura de produtos da pesca através do método QIM (Quality Index Method): revisão dos métodos desenvolvidos nos últimos 20 anos

Dissertação de mest., Tecnologia de Alimentos, Instituto Superior de Engenharia, Univ. do Algarve, 2012

Die Qualitäts-Index-Methode (QIM), ein verlässliches Instrument zur sensorischen Bewertung der Frische von Fisch

Fish research institutes in Europe have made considerable effort in developing rapid, objective sensory methods for evaluation of fish freshness. The Quality Index Method(QIM) has been recommended for a European initiative regarding standardisation and harmonisation of sensory evaluation of fish. QIM-schemes have been developed for various common European fish species. Research has now provided the industry with a convenient, objective and powerful tool for measuring freshness of fish kept in ice Further research is needed to evaluate the applicability of QIM for fish handled, stored and processed under different conditions. However, for progress and development of QIM it is now very important that the fish sector implements QIM in fish auctions and the quality management system of the fish processing plants.

Kotimaisen tuorekalan tuoreuden arviointi laatuindeksimenetelmällä QIM®

Kalateollisuus ja kalakauppa tarvitsisivat menetelmän, jolla kalan säilyvyyttä voitaisiin arvioida reaaliaikaisesti ja luotettavasti. Laatuindeksimenetelmä QIM® (engl. Quality Index Method) on käytössä jo useassa Euroopan maassa useille eri kalalajeille. QIM® pyrkii lajikohtaisesti ennustamaan aistinvaraisten ominaisuuksien muutoksien perusteella jäljellä olevaa säilyvyysaikaa. Työn tavoitteena oli luoda QIM® meressä kasvatetulle siialle. Tämä on ensimmäinen suomalaiselle kalalle tehtävä QIM®, ja tavoitteena on saada meressä kasvatetun siian QIM® myös viralliseen QIM®-käsikirjaan. Tutkimus tehtiin Elintarviketurvallisuusvirasto Eviralle. Tutkittavat kalat Evira osti Kalatukku E. Eriksson Oy:ltä. QIM®-tuloksen tueksi tutkittiin yhden erän pH ja indikoitiin pilaantuminen myös mikrobiologisesti. Luotiin myös kasvatetun siian profiili (arvioijia 13). Itse tutkimusosassa kaksi profiiliraatia (n = 9) ja QIM®-raati (n = 5) arvioivat raa’an ja kypsän kalan. Tulos varmistettiin myös aistinvaraisella kalan laadunarviointimenetelmällä (Evira 8001). QIM®-raati loi QIM®-luonnoksen ja luonnoksen toimivuutta testattiin. Kiinteänä osana työn toteutusta oli myös eri vaiheiden muutosten valokuvaus. Tämän tutkimuksen mukaan luotu QIM®-luonnos on toimiva pohja validoitaessaa QIM®-menetelmää siialle. Voidaan myös todeta, että QIM® soveltuu meressä kasvatetulle siialle. Kypsän kalan aistinvaraisella laadunarviointimenetelmällä (Evira 8001) analysoitiin säilytysajankohta, jolloin kypsästä kalasta voitiin todeta kalan kauppakelvottomuus – tätä pidettiin ajanhetkenä, jolloin raa’an kalan tutkiminen voitiin lopettaa. Tutkimuksessa käytetty mikrobiologinen menetelmä ”Mikrobien lukumäärän määrittäminen” (Evira 3420/1) korreloi QIM®-tuloksen kanssa; kalanäyte oli tässä tutkimuksessa niin mikrobiologisesti arvioituna kuin laatuindeksinkin mukaan käyttökelvotonta viidentenätoista päivänä. Tutkittujen kalojen pH-arvoja ei voitu verrata laatuindeksiin, sillä tässä tutkimuksessa mitattujen pH-arvojen tuloksista ei voitu päätellä pilaantumisen etenemistä. Kun QIM® meressä kasvatetulle siialle on validoitu (Evira), valmista meressä kasvatetun siian QI-menetelmää voidaan hyödyntää jatkossa Suomen kalateollisuudessa ja -markkinoilla. Olisi hyvä, jos QIM® luotaisiin myös muille Suomen yleisimmille kauppakaloille, jotta pakkauksiin merkityt viimeiset käyttöpäivät perustuisivat yhteen yhteiseen menetelmään ja näin viimeisellä käyttöpäivällä olisi tieteellinen pohja.

Fish quality assessment through the application of chemico-physical, sensory and microbiological analyses

The quality of fish products is indispensably linked to the freshness of the raw material modulated by appropriate manipulation and storage conditions, specially the storage temperature after catch. The purpose of the research presented in this thesis, which was largely conducted in the context of a research project funded by Italian Ministry of Agricultural, Food and Forestry Policies (MIPAAF), concerned the evaluation of the freshness of farmed and wild fish species, in relation to different storage conditions, under ice (0°C) or at refrigeration temperature (4°C). Several specimens of different species, bogue (Boops boops), red mullet (Mullus barbatus), sea bream (Sparus aurata) and sea bass (Dicentrarchus labrax), during storage, under the different temperature conditions adopted, have been examined. The assessed control parameters were physical (texture, through the use of a dynamometer; visual quality using a computer vision system (CVS)), chemical (through footprint metabolomics 1H-NMR) and sensory (Quality Index Method (QIM). Microbiological determinations were also carried out on the species of hake (Merluccius merluccius). In general obtained results confirmed that the temperature of manipulation/conservation is a key factor in maintaining fish freshness. NMR spectroscopy showed to be able to quantify and evaluate the kinetics for unselected compounds during fish degradation, even a posteriori. This can be suitable for the development of new parameters related to quality and freshness. The development of physical methods, particularly the image analysis performed by computer vision system (CVS), for the evaluation of fish degradation, is very promising. Among CVS parameters, skin colour, presence and distribution of gill mucus, and eye shape modification evidenced a high sensibility for the estimation of fish quality loss, as a function of the adopted storage conditions. Particularly the eye concavity index detected on fish eye showed a high positive correlation with total QIM score.

Influência da adição in vivo de vitamina E e de métodos de abate nos atributos de qualidade de filés de tilápia

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Robust principal component analysis in water quality index development

Some statistical procedures already available in literature are employed in developing the water quality index, WQI. The nature of complexity and interdependency that occur in physical and chemical processes of water could be easier explained if statistical approaches were applied to water quality indexing. The most popular statistical method used in developing WQI is the principal component analysis (PCA). In literature, the WQI development based on the classical PCA mostly used water quality data that have been transformed and normalized. Outliers may be considered in or eliminated from the analysis. However, the classical mean and sample covariance matrix used in classical PCA methodology is not reliable if the outliers exist in the data. Since the presence of outliers may affect the computation of the principal component, robust principal component analysis, RPCA should be used. Focusing in Langat River, the RPCA-WQI was introduced for the first time in this study to re-calculate the DOE-WQI. Results show that the RPCA-WQI is capable to capture similar distribution in the existing DOE-WQI.

Dietary Quality Index and Associated Factors among Adolescents of the State of Sao Paulo, Brazil

Objective To assess dietary quality and associated factors in adolescents. Study design We conducted a population-based cross-sectional study in a sample of 1584 adolescents living in areas of the state of Sao Paulo, Brazil. Dietary intake was measured with the 24-hour recall method, and dietary quality was assessed by means of the Health Eating Index (HEI), adapted to fit to the local requirements. Linear regression analyses were performed to assess the association between the HEI and demographic, socioeconomic, and lifestyle variables. Results A total of 97.1% of the adolescents studied had an inadequate diet or a diet that needed improvement. The mean overall HEI score was 59.7. Lower mean HEI scores were found for fruits, dairy products, and vegetables. Male adolescents who were physically active and lived in a house or apartment had higher HEI scores. The multiple regression analyses showed that the quality of the diet improved as age decreased. Adolescents who lived in houses or apartments had higher HEI scores than adolescents living in shacks or slums, regardless of age and energy intake. Conclusions Dietary quality is associated with income and age. A better understanding of the factors associated can provide input to the formulation of policies and development of nutritional actions. (J Pediatr 2010; 156:456-60).

Fuzzy environmental quality index

This paper presents the construction of a fuzzy environmental quality index for decision support in municipal environmental management. Five groups of indicators were selected in order to obtain an equation that best represented reality in terms of environmental quality. The calculation was carried out using fuzzy mathematical concepts, with the aid of the package Fuzzy Logical Toolbox 2.1 for Matlab ® 6.1, which provides functions and some applications of the theory of fuzzy sets. The work seeks to create a method of inference concerning the nature of urban areas that are unsustainable with respect to the environment, an issue that is often relegated to the background during public policy discussions. The development of this index, together with its implementation and dissemination, could improve public awareness of environmental issues, and promote mobilization towards the use of best practices in local development. © 2010 IEEE.

Development of a water quality index using a fuzzy logic: A case study for the sorocaba river

Due to growing urbanization and industrialization, the environment is suffering from pollution of rivers, degradation of soils and deteriorated air quality. Quality indices appear to be useful to evaluate the conditions of these media. The aim of this study was the development of a water quality index using a fuzzy inference system, since such an approach has proved advantageous in addressing problems that are subjective by nature or for which the data are uncertain. The methodology employed was based on this inference system, and considered the nine water quality parameters employed by CETESB (Companhia de Tecnologia de Saneamento Ambiental, São Paulo, Brazil) to evaluate water quality. After assessment of the data using the index, a comparison was made with the WQI (Water Quality Index), which is used for the monitoring of various water bodies, including in the study region. The results obtained using the index developed on the basis of fuzzy inference were found to be more useful than those derived from the method currently used by CETESB, since losses and/or omissions concerning individual parameters were minimized. © 2010 IEEE.

A modified quality control method for manufacturing process in mask industry

Masks are widely used in different industries, for example, traditional metal industry, hospitals or semiconductor industry. Quality is a critical issue in mask industry as it is related to public health and safety. Traditional quality practices for manufacturing process have some limitations in implementing them in mask industries. This paper aims to investigate the suitability of Six Sigma quality control method for the manufacturing process in the mask industry to provide high quality products, enhancing the process capacity, reducing the defects and the returned goods arising in a selected mask manufacturing company. This paper suggests that modifications necessary in Six Sigma method for effective implementation in mask industry.