Fish Quality Index Method: Principles, weaknesses, validation, and alternatives—A review

Background: Quality monitoring and/or assessment are parts of a freshness/quality control system, which is of utmost importance for fresh seafood, especially Scombridae fish. The quality index method (QIM) is a simple, convenient, unique, and reliable tool to determine the sensory status and estimate the remaining shelf life of aqua products. Objective: This study aimed to develop a QIM scheme for chilled stored yellowfin tuna and apply the protocol in the fish quality evaluation and storage time estimation. Method: Eight gutted yellowfin tuna of 20, 30, and 40 kg up were used in the study. Five panelists participated in the QIM development, training and application. Control and/or validation analyses were sensory assessment by a control sheet, total volatile basic nitrogen (TVB-N) quantification, and total viable count (TVC) determination. Chilled storage of tuna was performed in liquid ice and traditional crushed block ice. Partial least square regression (PLS-R) was conducted on quality index (QI) dataset over storage time to find the regression line and prediction accuracy. Results: The established QIM protocol for gutted yellowfin tuna comprised 6 attributes (namely, color of whole fish, odor of whole fish and flesh, eyes, appearance of whole fish, flesh color and flesh texture) and a maximal QI of 15. The PLS-R showed that QI could be used to estimate the remaining time with a precision of ± 2.0 and 1.4 days for fish stored in slurry ice and crushed ice, respectively. The TVB-N content in the fish flesh maintained below the acceptable level of 25 mg N/100 g throughout the storage period, which made the parameter impractical to detect the fish shelf life. The TVC overreached the allowable level of 107 CFU/g around the time of fish rejection by the sensory method. Conclusion: The developed QIM scheme for yellowfin tuna showed to be more advantageous in detecting fish quality changes compared to the control sensory method and could be used to estimate the fish's remaining shelf life.

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Water quality characteristics of different industrial wastewater by Delphi water quality index method

International Journal of Environmental Engineering ◽

10.1504/ijee.2014.057835 ◽

2014 ◽

Vol 6 (1) ◽

pp. 1 ◽

Cited By ~ 1

Author(s):

Papita Das Saha

Keyword(s):

Water Quality ◽

Water Quality Index ◽

Industrial Wastewater ◽

Quality Index ◽

Quality Characteristics ◽

Index Method

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Application of a GIS-based DRASTIC model and groundwater quality index method for evaluation of groundwater vulnerability: a case study, Sefid-Dasht

Water Science & Technology Water Supply ◽

10.2166/ws.2015.032 ◽

2015 ◽

Vol 15 (4) ◽

pp. 784-792 ◽

Cited By ~ 3

Author(s):

Nastaran Khodabakhshi ◽

Gholamreza Asadollahfardi ◽

Nima Heidarzadeh

Keyword(s):

Groundwater Quality ◽

Quality Index ◽

Major Ions ◽

Groundwater Vulnerability ◽

Vulnerability Index ◽

Aquifer Vulnerability ◽

Index Method ◽

Drastic Model ◽

Groundwater Quality Index ◽

The North

Pollution control and removal of pollutants from groundwater are a challenging and expensive task. The aims of this paper are to determine the aquifer vulnerability of Sefid-Dasht, in Chaharmahal and Bakhtiari province, Iran, using the DRASTIC model. In addition, the groundwater quality index (GQI) technique was applied to assess the groundwater quality and study the spatial variability of major ion concentrations using a geographic information system (GIS). The vulnerability index ranged from 65 to 132, classified into two classes: low and moderate vulnerability. In the southern part of the aquifer, the vulnerability was moderate. Furthermore, the results indicate that the magnitude of the GQI index varies from 92% to 95%. This means the water has a suitable quality. However, from the north to the south and southwest of the aquifer, the water quality has been deteriorating, and the highest concentration of major ions was found in the southwest of the Sefid-Dasht aquifer. A comparison of the vulnerability maps with the GQI index map indicated a poor relation between them. In the DRASTIC method, movement of groundwater is not considered and may be the reason for such inconsistency. However, the movement of groundwater can transport contaminants.

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Quality Index Method (QIM) for ice stored gutted Amazonian Pintado (Pseudoplatystoma fasciatum × Leiarius marmoratus) and estimation of shelf life

LWT ◽

10.1016/j.lwt.2015.08.019 ◽

2016 ◽

Vol 65 ◽

pp. 363-370 ◽

Cited By ~ 12

Author(s):

M. Lanzarin ◽

D.O. Ritter ◽

S.F. Novaes ◽

M.L.G. Monteiro ◽

E.S. Almeida Filho ◽

...

Keyword(s):

Shelf Life ◽

Quality Index ◽

Index Method

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Evaluation of Water Quality of Hemren Lake

Diyala Journal of Engineering Sciences ◽

10.24237/djes.2013.06205 ◽

2013 ◽

Vol 6 (2) ◽

pp. 57-76

Author(s):

SAAD SH. SAMMEN

Keyword(s):

Water Quality ◽

Water Quality Index ◽

Quality Index ◽

Quality Parameters ◽

Lake Ecosystem ◽

Index Method ◽

Weighted Arithmetic ◽

Canadian Council ◽

Calcium Magnesium

In this study Water Quality Index (WQI) was applied in Hemren Lake, Diyala province, Iraq using ten water quality parameters (pH, Electrical Conductivity, Hardness, Total Dissolve Soluble, Sodium, Calcium, Magnesium, Potassium, Chloride, Phosphate) from 2008 to 2010 to evaluate the suitability of Hemren Lake ecosystem for drinking and irrigation uses. The Weighted Arithmetic Index method (WAM) and the Canadian Council of Ministers of the Environment Water Quality Index methodology (The CWQI 1.0 model) were used to calculate the water quality index (W.Q.I). The results indicated that drinking water quality of Hemren Lake is good and marginal for the study period according to (WAM) and (CCME) respectively, while the irrigation water quality is good and according to (WAM) and (CCME). It is suggested that monitoring of the lake is necessary for proper management. Application of the WQI is also suggested as a very helpful tool that enables the public and decision makers to evaluate water quality of lakes in Iraq.

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