The coronavirus pandemic has underscored the critical importance of preparedness in the fight against infectious diseases, be they viral or bacterial. Boston College scientists are making strides toward more accurate targeting of bacterial infections with appropriate antibiotics.
Using a single-atom-thick sheet of graphene to track the electronic signals inherent in biological structures, a team led by the 香蕉秀 researchers reported in the journal Biosensors and Bioelectronics the development of a platform to selectively identify deadly strains of bacteria.
The prototype demonstrates the first selective, rapid, and inexpensive electrical detection of the pathogenic bacterial species Staphylococcus aureus and antibiotic resistant Acinetobacter baumannii on a single platform, said Professor of Physics Kenneth Burch, a lead co-author of the paper.
The rapid increase in antibiotic resistant pathogenic bacteria has become a global threat, in large part because of the over prescription of antibiotics. This is driven largely by the lack of fast, cheap, scalable, and accurate diagnostics, according to co-author and Associate Professor of Biology Tim van Opijnen.
Particularly crucial is identifying the bacterial species and whether it is resistant to antibiotics, and to do so in a platform which can be easily operated at the majority of points of care. Currently such diagnostics are relatively slow 鈥� taking from hours to days 鈥� require extensive expertise, and very expensive equipment.
Boston College researchers (l-r): Professor of Chemistry Jianmin Gao, Associate Professor of Biology Tim van Opijnen, and Professor of Physics Kenneth Burch.
The 香蕉秀 researchers, working with colleagues from Boston University, developed a sensor, known as a graphene field effect transistor, or G-FET, that can overcome critical shortcomings of prior detection efforts since it is a highly scalable platform that employs peptides, chains of multiple linked amino acids, which are inexpensive and easy-to-use chemical agents, according to co-author and Professor of Chemistry Jianmin Gao.
The team set out to show it could construct a device that can 鈥渞apidly detect the presence of specific bacterial strains and species, exploiting the large amount of electric charge on their surface and ability to capture them with synthetic peptides of our own design,鈥� said Burch.
The initiative built upon the earlier research of van Opijnen and Gao, who previously found peptides were highly selective, but at that time required expensive fluorescence microscopes for their detection. In addition to Burch, Gao, and van Opijnen, the lead co-authors of the paper included Boston University Assistant Professor of Chemistry Xi Ling.
The team modified existing peptides to allow them to attach to graphene, a single atomic layer of carbon. The peptides were designed to bind to specific bacteria, rejecting all others. In essence, the G-FET is able to monitor the electric charge on the graphene, while exposing it to various biological agents.
A team led by Boston College researchers has developed a prototype sensor that uses an atom-deep sheet of graphene and peptides to rapidly reveal which bacterial species is in a sample and whether it is antibiotic resistant. The graphene field effect transistor (G-FET) achieved single-cell resolution and a 5-minute detection time, which could lead to more accurate targeting of infections with appropriate antibiotics.
Due to the selectivity of the peptides, the researchers were able to pinpoint their attachment to the desired bacterial strain, the team reported in the article 鈥�.鈥� By electrically monitoring the resistance and, ultimately, charge on the device, the presence of bacteria attached to graphene could be resolved, even for just a single cell.
To enable greater speed and high sensitivity, an electrical field was placed on the liquid to drive the bacteria to the device, again exploiting the charge on the bacteria, the team reported. This process, known as dielectrocphoresis, had never previously been applied to graphene-based sensors and could potentially open the door to dramatically improving efforts in that field to employ graphene for biosensing, the team reported.
鈥淲e were surprised how well the bacteria were electrically guided to the devices,鈥� said Burch. 鈥淲e thought it would somewhat reduce the required time and needed concentration. Instead, it worked so well that the electric field was able to bring needed concentration of bacteria down by a factor of 1000, and reduce the time to detection to five minutes.鈥�
Other members of the team included 香蕉秀 post-doctoral researchers Narendra Kumar and Juan C. Ortiz-Marquez, and graduate students Wenjian Wang and Mason Gray Ph.D. '20, 香蕉秀 undergraduate researcher Matthew Catalano, visiting Research Experience for Undergraduates student Nadia Biglari, and BU graduate student Kitadai Hikari.
The team is now working to expand the number of pathogens that can be detected and demonstrate that it can work directly with samples from patients.
Ed Hayward | University Communications | April 2020