Korean Journal of Agricultural Science (농업과학연구)

Institute of Agricultural Science, CNU (충남대학교 농업과학연구소)
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Improvement of the detection limit of rapid detection kit for Salmonella Typhimurium using image analysis system

이미지 분석을 이용한 살모넬라 신속 진단키트의 측정감도 향상

  • Lee, Sangdae (Department of Agriculture Engineering, National Academy of Agricultural Sciences) ;
  • Kim, Giyoung (Department of Agriculture Engineering, National Academy of Agricultural Sciences) ;
  • Park, Saet-Byeol (Department of Agriculture Engineering, National Academy of Agricultural Sciences) ;
  • Moon, Ji-Hea (Department of Agriculture Engineering, National Academy of Agricultural Sciences)
  • 이상대 (국립농업과학원 농업공학부) ;
  • 김기영 (국립농업과학원 농업공학부) ;
  • 박샛별 (국립농업과학원 농업공학부) ;
  • 문지혜 (국립농업과학원 농업공학부)
  • Received : 2012.08.20
  • Accepted : 2012.09.21
  • Published : 2012.09.30
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Abstract

The objective of this study was to improve the detection limit of rapid detection kit for Salmonella Typhimurium by image analysis system. The rapid detection kit was comprised of four elements: sample pad, conjugate pad, nitrocellulose pad and absorbent pad. Gold nanoparticle and Salmonella antibody were used as a tag and a receptor. Salmonella antibody and goat rabbit IgG antibody were used as test and control lines on nitrocellulose membrane. The color intensity of test line began to increase from $10^5CFU/mL$ of Salmonella sample. A multiple linear regression analysis was employed to explain the relationship between predicted and measured number of Salmonella cells. The developed model could successfully predict the cell number of Salmonella with validation against extra-experimental result.

식중독을 일으키는 대표적인 원인균인 살모넬라를 검출하기 위해 측방 유동형 간이진단 키트를 제작하였다. 또한, 제작된 간이진단 키트의 검출한계를 향상시키고 살모넬라 균수를 정량적으로 분석하기 위해 이미지 분석 시스템을 적용하였다. 그 결과 간이진단 키트의 검출한계는 $10^6\;cfu/mL$에서 $10^5\;cfu/mL$로 향상시킬 수 있었다. 살모넬라 균수의 정량적 분석을 위해 $T_{peak}/C_{peak}$와 $T_{area}/C_{area}$값을 이용하여 다중회귀분석을 수행하였으며 개발된 다중회귀방정식 중에서 가장 단순하고 결정계수가 높은 다중회귀방정식을 선정하였다. 추가로 제작된 간이진단 키트를 이용하여 개발된 다중회귀방정식을 검증한 결과 결정계수가 0.9393으로 우수한 선형성을 나타내었다. 본 연구에서 개발된 다중회귀방정식을 이용하여 더 정확하게 간이진단 키트에서 측정된 살모넬라 균수를 예측하는 것이 가능하였다.

Keywords

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