Combination effect of phosphate and vacuum packaging on quality parameters of Rutilus frisii kutum fillets in ice

2012 ◽  
Vol 45 (1) ◽  
pp. 9-16 ◽  
Author(s):  
Yasaman Etemadian ◽  
Bahareh Shabanpour ◽  
Alireza Sadeghi Mahoonak ◽  
Ali Shabani
Keyword(s):  
Quality Parameters ◽  
Vacuum Packaging ◽  
Combination Effect ◽  
Rutilus Frisii Kutum

Combination Effect of Phosphate and Vacuum Packaging on Quality Parameters of Refrigerated Aurigequula fasciata Fillets

2017 ◽  
Vol 1 (2) ◽  
pp. 101-112 ◽  
Author(s):  
Lida Nobakht Ghalati ◽  
Ainaz Khodanazary ◽  
Seyyed Mehdi Hosseini ◽  
Soheila Matroodi
Keyword(s):  
Quality Parameters ◽  
Vacuum Packaging ◽  
Combination Effect

scholarly journals Influence of modified atmosphere and vacuum packaging with and without nanosilver-coated films on different quality parameters of pork

2017 ◽  
Vol 54 (10) ◽  
pp. 3251-3259 ◽  
Author(s):  
Isa Kernberger-Fischer ◽  
Corinna Kehrenberg ◽  
Guenter Klein ◽  
Dirk Schaudien ◽  
Carsten Krischek
Keyword(s):  
Quality Parameters ◽  
Vacuum Packaging ◽  
Modified Atmosphere

Production and Quality Assessment of a New Dry Cured Turkey Product (Turkey Pastirma) Processed by Two Different Types of Packaging Techniques (Modified Traditional Coating and Vacuum Packaging)

2020 ◽  
Author(s):  
Georgena Michel ◽  
Mai A Mohamed ◽  
Hussein MH Mohamed
Keyword(s):  
Microbiological Quality ◽  
Quality Parameters ◽  
Good Choice ◽  
Vacuum Packaging ◽  
The Other ◽  
Raw Material ◽  
B Values ◽  
Turkey Meat ◽  
A Value ◽  
Different Types

The objective of the current study was to evaluate the suitability of turkey meat for production of a new dry cured product (Turkey pastirma) by two different packaging techniques (modified coating and vacuum packaging). To achieve this objective, 100 boneless and skinless chilled turkey breasts were trimmed and dry cured. After that, 50 dry cured turkey breasts were coated with modified traditional coating and the other 50 were sliced and vacuum packaged. Coated and vacuumed turkey pastirma were stored at 4 ̊C till deterioration occurred and examined for sensory, physicochemical and microbiological quality parameters. The results revealed that there were non- significant differences in sensory analysis, mesophilic bacterial and mold counts between both pastirma treatments. However, the application of vacuum packaging resulted in significant decrease in protein, fat, ash contents, TBARS, TVBN, L*, b* values, lactic acid bacterial and yeast counts and significant increase in moisture content and a* value when compared with coated one. It can be concluded that, turkey meat can be a good choice raw material used for production of more tender and juicy pastirma and the application of vacuum packaging can improve all quality parameters of the product with shelf life may reach to 16 weeks at 4℃.

Monitoring of essential oils during storage by selected quality parameters

Planta Medica ◽  
2010 ◽  
Vol 76 (12) ◽  
Author(s):  
C Turek ◽  
S Ritter ◽  
F Stintzing
Keyword(s):  
Essential Oils ◽  
Quality Parameters

Creating adaptive predictions for packaging-critical quality parameters using advanced analytics and machine learning

TAPPI Journal ◽  
2019 ◽  
Vol 18 (11) ◽  
pp. 679-689
Author(s):  
CYDNEY RECHTIN ◽  
CHITTA RANJAN ◽  
ANTHONY LEWIS ◽  
BETH ANN ZARKO
Keyword(s):  
Machine Learning ◽  
Real Time ◽  
Predictive Analytics ◽  
Paper Industry ◽  
Quality Parameters ◽  
Fast Change ◽  
The Face ◽  
Model Tuning ◽  
Reducing Costs ◽  
Time Critical

Packaging manufacturers are challenged to achieve consistent strength targets and maximize production while reducing costs through smarter fiber utilization, chemical optimization, energy reduction, and more. With innovative instrumentation readily accessible, mills are collecting vast amounts of data that provide them with ever increasing visibility into their processes. Turning this visibility into actionable insight is key to successfully exceeding customer expectations and reducing costs. Predictive analytics supported by machine learning can provide real-time quality measures that remain robust and accurate in the face of changing machine conditions. These adaptive quality “soft sensors” allow for more informed, on-the-fly process changes; fast change detection; and process control optimization without requiring periodic model tuning. The use of predictive modeling in the paper industry has increased in recent years; however, little attention has been given to packaging finished quality. The use of machine learning to maintain prediction relevancy under everchanging machine conditions is novel. In this paper, we demonstrate the process of establishing real-time, adaptive quality predictions in an industry focused on reel-to-reel quality control, and we discuss the value created through the availability and use of real-time critical quality.

Quality of ram spermatozoa separated with modified swim up method

2018 ◽  
Vol 33 (2) ◽  
pp. 62-70 ◽  
Author(s):  
A Hossain ◽  
MM Islam ◽  
F Naznin ◽  
RN Ferdousi ◽  
FY Bari ◽  
...  
Keyword(s):  
Semen Quality ◽  
Membrane Integrity ◽  
Quality Parameters ◽  
Fluid Medium ◽  
Normal Morphology ◽  
The Mean ◽  
Mass Activity ◽  
Fresh Semen ◽  
Artificial Vagina

Semen was collected from four rams, using artificial vagina and viability%, motility% and plasma membrane integrity% were measured. Fresh ejaculates (n = 32) were separated by modified swim-up separation using modified human tubal fluid medium. Four fractions of supernatant were collected at 15-minute intervals. The mean volume, mass activity, concentration, motility%, viability%, normal morphology and membrane integrity% (HOST +ve) of fresh semen were 1.0 ± 0.14, 4.1 ± 0.1 × 109 spermatozoa/ml, 85.0 ± 1.3, 89.4 ± 1.0, 85.5 ± 0.7, 84.7 ± 0.5 respectively. There was no significant (P>0.05) difference in fresh semen quality parameters between rams. The motility%, viability% and HOST +ve % of first, second, third and fourth fractions were 53.4 ± 0.5, 68.2 ± 0.3, 74.8 ± 0.3 and 65.5 ± 0.4; 55.5 ± 0.4, 66.2 ± 0.4, 74.5 ± 0.3 and 73.6 ± 0.3 and 66.7 ± 0.5, 66.8 ± 0.5, 65.2 ± 0.4 and 74.7 ± 0.5 respectively. The motility%, viability% and membrane integrity% of separated semen samples differed significantly (P<0.05) between four fractions. The mean motility% and viability% were significantly higher (P<0.05) in third fraction (74.8 ± 0.3%), whereas the mean HOST +ve% was significantly higher (P<0.05) in fourth fraction (74.7 ± 0.5). All quality parameters of separated spermatozoa were significantly (P<0.05) lower than that of fresh semen. The pregnancy rates were higher with fresh semen (71%) in comparison to that of separated sample (57%).Bangl. vet. 2016. Vol. 33, No. 2, 62-70

Sign in / Sign up

Export Citation Format

Share Document