as a food matrix because it is the food most commonly
polluted by B. cereus (Rangan 2008). Figure 5a shows the
SPR response curves obtained from GSH chips by varying
the concentration of B. cereus in a cooked rice sample.
One thousand (103
) CFU/ml of B. cereus could be detected
in a cooked rice sample. Plot of R/R0 versus the concentration
of B. cereus in a cooked rice sample shows that the
quantitative detection of B. cereus is possible at the range
of 103
–107 CFU/ml (Fig. 5b). Compared with the results
of pure B. cereus detection, the sensitivity was depressed.
This may be attributed to the non-specific adsorption of
carbohydrates, proteins, etc. The successful detection of B.
cereus in a cooked rice sample demonstrates the feasibility
of the CBD-based SPR sensing method for the detection of
B. cereus in complex food samples.
B. cereus causes not only foodborne illness, but also
a number of systemic and local infections, yet very few
detection methods employing mechanical, electrical, or
electrochemical sensors have been developed (Kang et al.
2013; Pal et al. 2007; Vaughan et al. 2003). This is the first
report of SPR-based B. cereus sensing, which enables sensitive,
specific, and convenient detection of B. cereus.
as a food matrix because it is the food most commonlypolluted by B. cereus (Rangan 2008). Figure 5a shows theSPR response curves obtained from GSH chips by varyingthe concentration of B. cereus in a cooked rice sample.One thousand (103) CFU/ml of B. cereus could be detectedin a cooked rice sample. Plot of R/R0 versus the concentrationof B. cereus in a cooked rice sample shows that thequantitative detection of B. cereus is possible at the rangeof 103–107 CFU/ml (Fig. 5b). Compared with the resultsof pure B. cereus detection, the sensitivity was depressed.This may be attributed to the non-specific adsorption ofcarbohydrates, proteins, etc. The successful detection of B.cereus in a cooked rice sample demonstrates the feasibilityof the CBD-based SPR sensing method for the detection ofB. cereus in complex food samples.B. cereus causes not only foodborne illness, but alsoa number of systemic and local infections, yet very fewdetection methods employing mechanical, electrical, orelectrochemical sensors have been developed (Kang et al.2013; Pal et al. 2007; Vaughan et al. 2003). This is the firstreport of SPR-based B. cereus sensing, which enables sensitive,specific, and convenient detection of B. cereus.
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