Rapid detection of cancer DNA in human blood using cysteamine-capped AuNPs and a machine learning-enabled smartphone
Sireemas Koowattanasuchat, Sawinee Ngernpimai, Piyaporn Matulakul, Janpen Thonghlueng, Witthawat Phanchai, Apiwat Chompoosor, Uthumporn Panitanarak, Yupaporn Wanna, Thanapong Intharah, Kanokon Chootawiriyasakul, Pimjai Anata, Prajuab Chaimnee, Raynoo Thanan, Chadamas Sakonsinsiri, Theerapong Puangmali
Abstract
). Following the DNA extraction from actual blood samples, this sensor demonstrated effective leukemia screening in 15 minutes with high sensitivity, achieving 95.3% accuracy based on the measurement by an optical spectrophotometer. To further develop for practical realisation, a smartphone assisted by machine learning was used to screen cancer patients, achieving 90.0% accuracy in leukemia screening. This sensing platform can be applied not only for leukemia screening but also for other cancers associated with epigenetic modification.