PMID- 30215084
OWN - NLM
STAT- PubMed-not-MEDLINE
DCOM- 20180927
LR  - 20180927
IS  - 1364-5528 (Electronic)
IS  - 0003-2654 (Linking)
VI  - 143
IP  - 19
DP  - 2018 Sep 24
TI  - Detection of bacterial contamination in food matrices by integration of quorum 
      sensing in a paper-strip test.
PG  - 4774-4782
LID - 10.1039/c8an00878g [doi]
AB  - There are an estimated 48 million cases of foodborne illness in the United States 
      every year. In general, these illnesses are the result of unintentional 
      contamination and improper food handling. Because bacterial contamination plays a 
      major role in food spoilage and, hence, in foodborne illnesses, it is important 
      to design easy, portable methods to detect bacteria in food. Quorum sensing (QS) 
      enables bacteria to communicate with one another and by doing so they can 
      modulate their behavior in a cell-density dependent manner. In bacteria, quorum 
      sensing molecules (QSMs) are known to control several factors such as virulence 
      factor production, antibiotic production, biofilm formation, and gene regulation. 
      Herein, we demonstrate the applicability of whole cell biosensing systems for the 
      early identification of food contamination via detection of QSMs. Additionally, 
      we have developed a portable system for detection of bacterial contamination 
      using microdots of immobilized whole cell-based biosensors on paper that boast 
      nanomolar level detection of QSMs in two different food matrices, namely beef and 
      milk. Limits of detection ranged from 1 x 10-7 M to 1 x 10-9 M with relative 
      standard deviations (RSDs) of 1-16%. This rapid, easy, and portable test could be 
      a useful tool for use in the field and during all stages of food manipulation, 
      i.e., from farms to distribution, storage, sales, and preparation prior to 
      consumption, to ensure that food is free of bacterial contamination.
FAU - Wynn, Daniel
AU  - Wynn D
AD  - Department of Biochemistry and Molecular Biology, Miller School of Medicine, 
      University of Miami, Miami, Florida 33136, USA. SDaunert@med.miami.edu.
FAU - Raut, Nilesh
AU  - Raut N
FAU - Joel, Smita
AU  - Joel S
FAU - Pasini, Patrizia
AU  - Pasini P
FAU - Deo, Sapna K
AU  - Deo SK
FAU - Daunert, Sylvia
AU  - Daunert S
LA  - eng
PT  - Journal Article
PL  - England
TA  - Analyst
JT  - The Analyst
JID - 0372652
EDAT- 2018/09/15 06:00
MHDA- 2018/09/15 06:01
CRDT- 2018/09/15 06:00
PHST- 2018/09/15 06:00 [pubmed]
PHST- 2018/09/15 06:01 [medline]
PHST- 2018/09/15 06:00 [entrez]
AID - 10.1039/c8an00878g [doi]
PST - ppublish
SO  - Analyst. 2018 Sep 24;143(19):4774-4782. doi: 10.1039/c8an00878g.