2008
DOI: 10.1016/j.lwt.2007.09.005
|View full text |Cite
|
Sign up to set email alerts
|

Development of shelf stable pepper based appetizers by response surface methodology (RSM)

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

1
20
0

Year Published

2010
2010
2021
2021

Publication Types

Select...
7
2

Relationship

1
8

Authors

Journals

citations
Cited by 28 publications
(21 citation statements)
references
References 10 publications
1
20
0
Order By: Relevance
“…For evaluation of visual color changes, L-, a-and b-values were assessed. The overall sensory acceptability scores were selected as one of the responses because it is directly dependent on specific composition of the product to decide its consumer acceptability (Wadikar et al 2008). …”
Section: Resultsmentioning
confidence: 99%
“…For evaluation of visual color changes, L-, a-and b-values were assessed. The overall sensory acceptability scores were selected as one of the responses because it is directly dependent on specific composition of the product to decide its consumer acceptability (Wadikar et al 2008). …”
Section: Resultsmentioning
confidence: 99%
“…The use of RSM helps in unbiased development of the product and better optimization of the ingredients for the desired responses. This approach has been used by several researches (Wadikar et al, 2008;Pandey et al, 2009) in recent decade for product/process development. The objective of this work was to determine the optimum combination of extrusion conditions for the production of modified corn starch to develop instant vegetable soup mix using a twin-screw extruder.…”
Section: Issn: 2319-7706 Volume 7 Number 02 (2018)mentioning
confidence: 99%
“…Statistical design tools such as response surface methodology (RSM) are quite effective and most suitable in optimizing the ingredient levels in products as well as the process parameters. The design uses a central composite design to fit a polynomial model by least-square technique (Wadikar et al 2008). The main advantage of the design is that it enables the study of one or more variables simultaneously in a single experimental design of practical size (Gupta et al 2008).…”
Section: Introductionmentioning
confidence: 99%