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full issue - Association of Biotechnology and Pharmacy

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Current Trends in <strong>Biotechnology</strong> <strong>and</strong> <strong>Pharmacy</strong><br />

Vol. 5 (3) 1325 -1337 July 2011, ISSN 0973-8916 (Print), 2230-7303 (Online)<br />

1332<br />

values <strong>and</strong> ranks for the system. Rank <strong>and</strong> delta<br />

values help to assess which factors have the<br />

greatest effect on the response characteristic <strong>of</strong><br />

interest. Delta measures the size <strong>of</strong> the effect by<br />

taking the difference between the highest <strong>and</strong><br />

lowest characteristic average for a factor. A<br />

higher delta value indicates greater effect <strong>of</strong> that<br />

component. ‘Rank’ orders the factors from the<br />

greatest effect (based on the delta values) to the<br />

least effect on the response characteristic. The<br />

order in which the individual components<br />

selected in the present study effect the<br />

fermentation process can be ranked as Na 2<br />

S 2<br />

O 3<br />

> yeast extract > K 2<br />

HPO 4<br />

> L-glutamic acid ><br />

MgSO 4<br />

> FeSO 4<br />

> glycerol > NaCl suggesting<br />

that Na 2<br />

S 2<br />

O 3<br />

had a major effect, <strong>and</strong> NaCl has<br />

the least effect on cephamycin C production by<br />

N. lactamdurans.<br />

Fig 4 represents the main effects plot for<br />

the system. Main effects plot show how each<br />

factor affects the response characteristic. A main<br />

effect is said to be present when different levels<br />

<strong>of</strong> a factor affect the characteristic differently.<br />

MINITAB creates the main effects plot by<br />

plotting the characteristic average for each factor<br />

level. These averages are the same as those<br />

displayed in the response Table 4. A line connects<br />

the points for each factor. A horizontal line<br />

(parallel to the x-axis) indicates absence <strong>of</strong> main<br />

effect. Each level <strong>of</strong> the factor affects the<br />

characteristic in the same way <strong>and</strong> the<br />

characteristic average is the same across all factor<br />

levels. A main effect is present when the line is<br />

not horizontal (not parallel to the x-axis).<br />

Different levels <strong>of</strong> the factor affect the<br />

characteristic differently. The greater the<br />

difference in the vertical position <strong>of</strong> the plotted<br />

points (the more the line is not parallel to the x-<br />

axis), the greater is the magnitude <strong>of</strong> the main<br />

effect.<br />

In the present study it was seen that among<br />

the 8 variables at 2 levels, one level increased<br />

the mean compared to the second level. This<br />

difference is a main effect. Variables like<br />

glycerol, NaCl <strong>and</strong> MgSO 4<br />

showed greater mean<br />

at level one whereas yeast extract, L-glutamic<br />

acid, K 2<br />

HPO 4<br />

, FeSO 4<br />

<strong>and</strong> Na 2<br />

S 2<br />

O 3<br />

showed<br />

greater mean at level two.<br />

Glycerol Yeast Extract L-Glutamicacid KZHPO 4<br />

NaCl MgSO 4<br />

FeSO 4<br />

Na2SO3<br />

Mean cephamycin C (mg/L)<br />

Fig. 4. Main effects plot for means<br />

Lalit D. Kagliwal et al

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