scholarly journals A response surface methodology study on the effects of some phenolics and storage period length on vegetable oil quality: change in oxidation stability parameters

2014 ◽  
Vol 38 ◽  
pp. 759-772 ◽  
Author(s):  
Safa KARAMAN ◽  
Ömer Said TOKER ◽  
İsmet ÖZTÜRK ◽  
Hasan YALÇIN ◽  
Ahmed KAYACIER ◽  
...  
2009 ◽  
Vol 8 (9) ◽  
pp. 1316-1324 ◽  
Author(s):  
Khamis Ali Omar ◽  
Liang Shan ◽  
Xiaoqiang Zou ◽  
Zhihua Song ◽  
Xingguo Wang

2001 ◽  
Vol 64 (4) ◽  
pp. 462-469 ◽  
Author(s):  
A. JAGANNATH ◽  
M. N. RAMESH ◽  
M. C. VARADARAJ

The increasing popularity of traditional milk-based foods has placed emphasis on the need for microbial safety in food-chain establishments, as there are ample possibilities for foodborne pathogens to occur as postprocessing contaminants. The behavioral pattern of an enterotoxigenic strain of Escherichia coli D 21 introduced as a postprocessing contaminant in shrikhand, a traditional sweetened lactic fermented milk product, was studied with variables of initial inoculum (4.3, 5.3, and 6.3 log10 CFU/g), storage temperature (4, 10, and 16°C), and storage period (4, 9, and 14 days). During storage of shrikhand prepared individually with Lactobacillus delbruecki ssp. bulgaricus CFR 2028 and Lactococcus lactis ssp. cremoris B-634, there was a steady decrease in the viable count of E. coli that was proportional to the initial inoculum of E. coli introduced into shrikhand. The data were subjected to multivariate analysis, and equations were derived to predict the behavior of E. coli in shrikhand. The predicted values for the probable survival of E. coli showed good agreement with the experimental values with a majority of these predictions being fail-safe. The values of statistical indices showed that the model fits ranged between extremely good and satisfactory. Response surface plots were generated to describe the behavioral pattern of E. coli. The derived models and response surface plots enabled prediction of the survival of E. coli in shrikhand as a function of initial inoculum levels, storage temperatures, and storage periods of shrikhand. These predictions were valid within the limits of the experimental variables used to develop the model.


2013 ◽  
Vol 20 (4) ◽  
pp. 319-330 ◽  
Author(s):  
Ali Sadollah ◽  
Azadeh Ghadimi ◽  
Ibrahim H. Metselaar ◽  
Ardeshir Bahreininejad

AbstractThe effect of various process parameters on the stability of TiO2 nanofluid, which can mostly be defined as zeta potential and particle size, was studied using response surface methodology (RSM) by the design of experiments and was predicted through a trained artificial neural network (ANN). The process parameters studied were weight percentage of surfactant (sodium lauryl sulfate) (0.01–0.2 wt%) and the value of pH (10–12). Central composite design and the RSM were employed to develop a mathematical model as well as to define the optimum condition. A three-layered feed-forward ANN model was designed and used for the prediction of the stability parameters. From the analysis of variance, the significant factors that affected the experimental design responses were also identified. The predicted stability parameters using the RSM and ANNs were compared using figures and tables. It is shown that the trained ANN outperformed the RSM in terms of accuracy and prediction of obtained results.


2008 ◽  
Vol 580-582 ◽  
pp. 681-686 ◽  
Author(s):  
H.G. Suk ◽  
D.S. Kim ◽  
Song Hee Kim ◽  
I.S. Cho

Because the fastener tension of high strength bolt, nut, and washer set is subject to the environmental factors such as temperature, humidity and storage period, extreme care should be taken during the joining and storage of such products. In case quality change is anticipated, the parts shall certainly be inspected.


Horticulturae ◽  
2021 ◽  
Vol 7 (10) ◽  
pp. 411
Author(s):  
Than Htike ◽  
Rattapon Saengrayap ◽  
Nattapol Aunsri ◽  
Khemapat Tontiwattanakul ◽  
Saowapa Chaiwong

Simulated impact damage testing was investigated by fractal image analysis using response surface methodology (RSM) with a central composite design (CCF) on quality of ‘Glom Sali’ guava for drop heights (0.2, 0.4, and 0.6 m), number of drops (1, 3, and 5) and storage temperature conditions (10, 20, and 30 °C). After 48 h, impacted fruit were determined and analyzed for bruise area (BA), bruise volume (BV), browning index (BI), total color difference (∆E), image analysis for bruise area (BAI), and fractal dimension (FD) at the bruising region on peeled guava. Results showed that the correlation coefficient (r = −0.6055) between ∆E and FD value was higher than ∆E and either BA (r = 0.3132) or BV (r = 0.2095). The FD variable was determined as a better indicator than conventional measurement (BA or BV) for pulp browning and impact bruising susceptibility. The FD variable also exhibited highest R2adj value (81.69%) among the other five variables, as the highest precision model with high determination coefficient value (R2adj) (>0.8) for impact bruising prediction. Recommended condition of the FD variable to minimize impact bruising was drop height of 0.53 m for five drops under storage at 30 °C. FD variable assessed by image analysis was shown to be a highly capable measurement to determine impact bruising susceptibility in guava fruit.


2016 ◽  
Vol 112 ◽  
pp. 3132-3137 ◽  
Author(s):  
Zita Šereš ◽  
Nikola Maravić ◽  
Aleksandar Takači ◽  
Ivana Nikolić ◽  
Dragana Šoronja-Simović ◽  
...  

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