Skip to main content
ARS Home » News & Events » News Articles » Research News » 2002 » Detecting Possible E. coli Contamination on Fruit and Produce

Agricultural Research Service
U.S. Department of Agriculture
ARS News and InformationSearch News and InfoScience for KidsImage GalleryAgricultural Research MagazinePublications and NewslettersNews ArchiveNews and Info homeARS News and Information
Latest news | Subscribe

Photo: Three-dimensional images are created from the hyperspectral imaging system, then researchers choose the wavelengths best suited for spotting fecal contamination in agricultural products. Link to photo information
Click image for caption and other photo information.

Detecting Possible E. coli Contamination on Fruit and Produce

By Don Comis
September 30, 2002

The chance of fecal bacteria contaminating fresh produce or fruit juices could become nil when fruit- and produce-packing plants have a completely automated food safety inspection system installed in the near future.

Yud-Ren Chen, an agricultural engineer with the Agricultural Research Service's Instrumentation and Sensing Laboratory in Beltsville, Md., is leading a group to develop "machine-vision" systems to detect contamination the human eye can't see. This would prevent Escherichia coli O157:H7 from tainting apple cider and juices made from apples and other fruits. This E. coli strain infects people who drink contaminated, unpasteurized cider or juices.

Chen is starting with apples, but he expects the system to work with all fruits and produce. His on-line system would direct a camera to take three spectral images of each apple through different color filters. A computer would then analyze the spectral images to detect the telltale signatures of fecal contamination or fly specks, as well as of fungi, rot or other diseases.

One of Chen's team members, biophysicist Moon Kim, brought his expertise in remote sensing of vegetation to ARS from the National Aeronautics and Space Administration. To detect fecal contamination, he is still sensing photosynthetic pigments from plants. But now he's working barely two feet from his targets, rather than from sensors aboard airplanes or satellites.

Apple packinghouses currently have automated ways to sort for sizes and colors. When Chen's system is commercialized, it would likely be merged with those sorting systems, as well as with others in the pipeline.

ARS is the U.S. Department of Agriculture's chief scientific research agency.

Top|News Staff|Photo Staff

E-mail the web teamPrivacy and other policiesSite mapAbout ARS Information StaffBottom menu

Home | News | Pubs | Magazine | Photos | Sci4Kids | Search
About ARS Info | Site map | Policies | E-mail us