Instant enumeration of total viable bacterial counts for food quality assurance using ‘DEP-On-Go’ sensor

2018 ◽  
Vol 10 (14) ◽  
pp. 1585-1592 ◽  
Author(s):  
Madhu Biyani ◽  
Radhika Biyani ◽  
Hiromi Ushijima ◽  
Masato Saito ◽  
Yuzuru Takamura ◽  
...  
Keyword(s):  
Quality Assurance ◽  
Food Quality ◽  
Food Samples ◽  
Solid Food ◽  
Bacterial Counts ◽  
Acceptable Limit

'DEP-On-Go' sensor (DEPSOR) provides rapid, reliable (below acceptable limit) and affordable (<5 USD) monitoring of microbial loads in liquid and solid food samples.

Ultrasonics in food processing – Food quality assurance and food safety

2012 ◽  
Vol 26 (2) ◽  
pp. 88-98 ◽  
Author(s):  
Jayani Chandrapala ◽  
Christine Oliver ◽  
Sandra Kentish ◽  
Muthupandian Ashokkumar
Keyword(s):  
Quality Assurance ◽  
Food Safety ◽  
Food Quality ◽  
Food Processing

Equivalence of food quality assurance systems

Food Control ◽  
1999 ◽  
Vol 10 (4-5) ◽  
pp. 255-260 ◽  
Author(s):  
Gregory D. Orriss
Keyword(s):  
Quality Assurance ◽  
Food Quality

Computer vision technology for real-time food quality assurance during drying process

2014 ◽  
Vol 39 (1) ◽  
pp. 76-84 ◽  
Author(s):  
Mortaza Aghbashlo ◽  
Soleiman Hosseinpour ◽  
Mahdi Ghasemi-Varnamkhasti
Keyword(s):  
Computer Vision ◽  
Quality Assurance ◽  
Real Time ◽  
Food Quality ◽  
Drying Process ◽  
Computer Vision Technology

Practitioners’ perceptions of the credibility of food quality assurance schemes: exploring the effect of country of origin

2015 ◽  
Vol 7 (5) ◽  
pp. 789-799 ◽  
Author(s):  
R. Wongprawmas ◽  
C.A. Padilla Bravo ◽  
A. Lazo ◽  
M. Canavari ◽  
A. Spiller
Keyword(s):  
Quality Assurance ◽  
Food Quality ◽  
Country Of Origin

scholarly journals The Trilateral Evolutionary Game of Agri-Food Quality in Farmer-Supermarket Direct Purchase: A Simulation Approach

Complexity ◽  
2018 ◽  
Vol 2018 ◽  
pp. 1-11 ◽  
Author(s):  
Xin Su ◽  
Haolong Liu ◽  
Shunqi Hou
Keyword(s):  
Quality Assurance ◽  
Food Quality ◽  
Evolutionary Game ◽  
Quality Standards ◽  
Payoff Matrix ◽  
Legal Rights ◽  
Evolutionary System ◽  
Key Factors ◽  
Stable States ◽  
High Quality

The prevalence of opportunistic behaviors in agri-food production and circulation results in frequent quality accidents in emerging economies. Numerous researches have discussed effective countermeasures to this problem, but few of them focus on the effectiveness and stability of quality assurance systems. Owing to the bounded rationality and information asymmetry, the dynamic quality game among producers, marketers, and consumers has significant characteristics of complexity. This paper aims at discussing the farmer-supermarket direct purchase’s contributions to ensure the agri-food quality and analyzing the effectiveness, stability, and key factors of this new industrial organization. Based on the evolutionary game theory, we establish the trilateral-game payoff matrix, build up the replicator dynamic equations, and discuss possible evolutionary stable states. The simulation results show that the evolutionary system converges to desired stability faster, when the high-quality agri-food’s market premium increases and the penalty for violating quality standards increases. Furthermore, when farmers share more high-quality agri-food’s market premiums and marketers compensate more for violating the quality standards than before, the evolutionary system also converges to desired stability faster. Therefore, the quality information tracing technology, farmers and marketers’ fair distribution of profits and risks, and consumers’ capabilities to safeguard their legal rights are the three key factors to maintain the effectiveness and stability of quality assurance systems.

scholarly journals Identification of Aflatoxins and Ochratoxin A in Selected Imported Pet Food

2015 ◽  
Vol 2 (1) ◽  
Author(s):  
Iffat Tahira ◽  
Nighat Sultana ◽  
Nafeesa Qudsia Hanif
Keyword(s):  
European Commission ◽  
Ochratoxin A ◽  
Food Samples ◽  
Solid Food ◽  
Chromatographic Technique ◽  
Pet Food ◽  
Regulatory Limits ◽  
Semi Solid ◽  
Aflatoxin B2 ◽  
Natural Incidence

The current study was conducted to analyze the aflatoxins (AF i.e. AFB1, AFB2, AFG1 AFG2) and ochratoxin A (OTA) in imported pet food. A total of five hundred and ten commercially available imported pet food samples of cat (solid = 240, semi-solid = 90) and dog (solid = 150, semi-solid = 30) were collected from retailers and analyzed by chromatographic technique i.e. HPTLC. Results revealed 45.83% (mean, 3.90 ppb) and 18% (mean, 4.83 ppb) of AFB1 incidence in solid pet foods of cats and dogs, respectively. However, lower levels i.e. 8.88% (mean, 4.60ppb) and 6.66% (mean, 2.80ppb) of AFB1 were observed for semi-solid food samples of cat and dog, respectively. Aflatoxin B2 was found in solid cat food only with an incidence of 12.5% (mean, 0.89 ppb). About 35.33% (mean, 4.5 ppb) and 26.66% (mean, 2 ppb) of OTA were observed in solid and semi-solid dog foods respectively. Similarly, the trend of OTA in cat foods was 15% (mean, 3.87 ppb) and 13.13% (mean, 1.0 ppb) for solid and semisolid foods. Furthermore, co-contamination of AF and OTA were observed in 33.33% and 41.60% samples of dog and cat foods, respectively. It was concluded that natural incidence of mean contaminations was below than European Commission (EC) legislation i.e. 20 ppb and 10 ppb for AF and OTA, respectively. However, co-occurrence of mycotoxins in pet food may exert synergistic deleterious effects even at levels far below the regulatory limits.

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