| Title |
Microbial biosensing of ciprofloxacin residues in food by a portable lens-free CCD-based analyzer
|
|---|---|
| Published in |
Analytical & Bioanalytical Chemistry, December 2017
|
| DOI | 10.1007/s00216-017-0792-x |
| Pubmed ID | |
| Authors |
Wei-Chen Kao, Shimshon Belkin, Ji-Yen Cheng |
| Abstract |
We present a rapid and simple approach for sensitive detection of antibiotic residues in food samples based on luminescence induction by live bacterial sensor strains integrated into a CCD-based lens-free optical analyzer (LumiSense). Using ciprofloxacin as a model antibiotic, we demonstrate response times of between 20 and 80 min, and detection thresholds of 8 ng/mL for milk, egg white, and chicken essence, and 64 ng/mL for egg yolk. These values are below the minimal allowed values as defined by European Union regulations. Although not intended to replace traditional analytical equipment and regulation-approved methods, LumiSense and similar systems, sample preparation for which involves only simple mixing, dilution, and homogenization, may nevertheless provide a simple means for high-throughput food sample screening. Graphical abstract Detection of bioluminescence from genetically modified bacteria offers a simple and effective way for monitoring an antibiotic, ciprofloxacin, in milk without prior sample preparation. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 31 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Professor | 4 | 13% |
| Student > Master | 4 | 13% |
| Researcher | 4 | 13% |
| Other | 3 | 10% |
| Student > Ph. D. Student | 3 | 10% |
| Other | 3 | 10% |
| Unknown | 10 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 4 | 13% |
| Agricultural and Biological Sciences | 4 | 13% |
| Veterinary Science and Veterinary Medicine | 3 | 10% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 6% |
| Environmental Science | 2 | 6% |
| Other | 7 | 23% |
| Unknown | 9 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 02 February 2018.
All research outputs
#22,764,772
of 25,382,440 outputs
Outputs from Analytical & Bioanalytical Chemistry
#7,543
of 9,619 outputs
Outputs of similar age
#385,951
of 446,012 outputs
Outputs of similar age from Analytical & Bioanalytical Chemistry
#121
of 164 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 9,619 research outputs from this source. They receive a mean Attention Score of 3.1. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 446,012 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 164 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.