Anthocyanin-rich black carrot (Daucus carota ssp. sativus var. atrorubens Alef.) and red cabbage (Brassica oleracea) extracts incorporated biosensor for colorimetric detection of Helicobacter pylori with color image processing

• Published in: Brazilian journal of microbiology 2023-06, Vol.54 (2), p.897-905
• Main Authors: Sezgin, Gulten Can, Ocsoy, Ismail
• Format: Article
• Language: English
• Subjects: Anthocyanins; Anthocyanins - analysis; Anthocyanins - chemistry; Biomedical and Life Sciences; Biosensors; Brassica; Brassica oleracea; Carrots; Clinical Microbiology - Research Paper; Color; Color imagery; Colorimetry; Daucus carota; Daucus carota - chemistry; Digital imaging; Electron density; Electronic structure; Food Microbiology; Helicobacter pylori; Image processing; Indicators; Life Sciences; Medical Microbiology; Microbial Ecology; Microbial Genetics and Genomics; Microbiology; Microorganisms; Mycology; pH effects; Plant Extracts - chemistry; Toxicity
• ISSN: 1517-8382; 1678-4405
• DOI: 10.1007/s42770-023-00989-1

In this work, we developed novel colorimetric biosensors consisting of anthocyanin-rich either black carrot ( Daucus carota ssp. sativus var. atrorubens Alef.) or red cabbage ( Brassica oleracea ) extracts for rapid, sensitive, and economic detection of  Helicobacter pylori  ( H. pylori ). We comparatively prepared two test solutions as biosensors including anthocyanin-rich black carrot extract (Anth@BCE) and red cabbage extract (Anth@RCE), both of which fixed to pH 2.5 and investigated their colorimetric responses based on electronic structure and electron density of anthocyanins. We successfully used anthocyanin-rich BCE and RCE as natural pH indicators in detection of H. pylori and introduced their advantages like non-toxicity, easy accessibility, and high stability compared to synthetic indicators. The BCE and RCE tests gave the best color change in the presence of 10 3  CFU/mL (at 60 min) and 10 4  CFU/mL (at 75 min) H. pylori suspensions prepared in an artificial gastric fluid. The limit of detection was down to 10 CFU/mL for RCE and BCE tests by increasing incubation time (≥ 5 h). We further made an additional study that color differences in the colorimetric responses observed by naked eyes were supported by digital image processing with RGB (Red Green Blue) and Delta-E (ΔE) analysis. It is confirmed that results evaluated by naked eyes and digital image processing are well consistent with each other. These findings proposed that these colorimetric tests can be implemented to pH dependent detection of various microorganisms and can be effectively transferred from laboratory work to clinics in the near future.