Statistical modeling of electrochemical removal of sodium in fermented food composts

Kitae Baek; Hyun Jae Shin; Hyun Ho Lee; Young Sun Jun; Ji Won Yang

doi:10.1007/BF02699308

Statistical modeling of electrochemical removal of sodium in fermented food composts

Kitae Baek
, Hyun Jae Shin
, Hyun Ho Lee
, Young Sun Jun
, Ji Won Yang

Environmental Engineering

Korea Advanced Institute of Science and Technology
Korea Research Institute of Bioscience and Biotechnology
Yonsei University

Research output: Contribution to journal › Journal article › peer-review

9 Scopus citations

Abstract

Electrochemical removal of sodium ion from fermented food composts was analyzed and statistically modeled by response surface methodology (RSM). Empirical models were developed to describe relationships between the operating variables (operation time, current density and water contents) and three responses (removal efficiency, energy expenditure and energy efficiency). Statistical analysis indicated that operation time and current density have significant effect on all responses. Good agreement between predicted and measured values confirmed the usefulness of the model. The models were verified by additional experimental at optimum conditions.

Original language	English
Pages (from-to)	627-631
Number of pages	5
Journal	Korean Journal of Chemical Engineering
Volume	19
Issue number	4
DOIs	https://doi.org/10.1007/BF02699308
State	Published - 2002.07

Keywords

Compost
Response surface methodology
Sodium removal
Statistical modeling

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10.1007/BF02699308

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title = "Statistical modeling of electrochemical removal of sodium in fermented food composts",

abstract = "Electrochemical removal of sodium ion from fermented food composts was analyzed and statistically modeled by response surface methodology (RSM). Empirical models were developed to describe relationships between the operating variables (operation time, current density and water contents) and three responses (removal efficiency, energy expenditure and energy efficiency). Statistical analysis indicated that operation time and current density have significant effect on all responses. Good agreement between predicted and measured values confirmed the usefulness of the model. The models were verified by additional experimental at optimum conditions.",

keywords = "Compost, Response surface methodology, Sodium removal, Statistical modeling",

author = "Kitae Baek and Shin, \{Hyun Jae\} and Lee, \{Hyun Ho\} and Jun, \{Young Sun\} and Yang, \{Ji Won\}",

year = "2002",

month = jul,

doi = "10.1007/BF02699308",

language = "English",

volume = "19",

pages = "627--631",

journal = "Korean Journal of Chemical Engineering",

issn = "0256-1115",

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T1 - Statistical modeling of electrochemical removal of sodium in fermented food composts

AU - Baek, Kitae

AU - Shin, Hyun Jae

AU - Lee, Hyun Ho

AU - Jun, Young Sun

AU - Yang, Ji Won

PY - 2002/7

Y1 - 2002/7

N2 - Electrochemical removal of sodium ion from fermented food composts was analyzed and statistically modeled by response surface methodology (RSM). Empirical models were developed to describe relationships between the operating variables (operation time, current density and water contents) and three responses (removal efficiency, energy expenditure and energy efficiency). Statistical analysis indicated that operation time and current density have significant effect on all responses. Good agreement between predicted and measured values confirmed the usefulness of the model. The models were verified by additional experimental at optimum conditions.

AB - Electrochemical removal of sodium ion from fermented food composts was analyzed and statistically modeled by response surface methodology (RSM). Empirical models were developed to describe relationships between the operating variables (operation time, current density and water contents) and three responses (removal efficiency, energy expenditure and energy efficiency). Statistical analysis indicated that operation time and current density have significant effect on all responses. Good agreement between predicted and measured values confirmed the usefulness of the model. The models were verified by additional experimental at optimum conditions.

KW - Compost

KW - Response surface methodology

KW - Sodium removal

KW - Statistical modeling

UR - https://www.scopus.com/pages/publications/27944450142

U2 - 10.1007/BF02699308

DO - 10.1007/BF02699308

M3 - Journal article

AN - SCOPUS:27944450142

SN - 0256-1115

VL - 19

SP - 627

EP - 631

JO - Korean Journal of Chemical Engineering

JF - Korean Journal of Chemical Engineering

IS - 4

ER -

Statistical modeling of electrochemical removal of sodium in fermented food composts

Abstract

Keywords

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