Rapid In Situ Hydrogel LAMP for On-Site Large-Scale Parallel Single-Cell HPV Detection.

Rapid human papillomavirus (HPV) screening is urgently needed for preventing and early diagnosis of cervical cancer in rural areas. To date, no HPV nucleic acid test (NAT) can be implemented within a single patient visit starting from clinical samples. Here, we develop a hydrogel loop-mediated isothermal amplification (LAMP) method in a fashion of large-scale parallel (about 1000 cells) in situ HPV DNA detection in clinical cervical exfoliated cells at the single-cell level. It can be used with a hotplate and smartphone to obtain HPV NAT results in less than 30 min, which is especially suitable for the on-site scenario. We apply this rapid HPV NAT on 40 clinical cervical exfoliated cell samples and compare the results to a clinical gold standard quantitative polymerase chain reaction (qPCR) method [area under curve (AUC), 1.00]. Meanwhile, our assay can provide HPV infection information for large-scale parallel single clinical cervical exfoliated cells, which cannot be received from traditional NAT methods. Our findings suggest the potential of in situ hydrogel LAMP as a powerful tool for clinical HPV screening and fundamental research.

Platinum nanoparticles-based electrochemical H2O2 sensor for rapid antibiotic susceptibility testing.

With the increase of antimicrobial resistance, rapid antibiotic susceptibility testing (AST) to guide precise antibiotic administration has become increasingly important. However, current gold standard AST approaches tend to take up to 24-48 h. In this work, based on the nature of catalase-positive bacteria decomposing H2O2, we developed a rapid, portable, straightforward, and cost-effective phenotypic AST approach by detecting residual H2O2 using a Pt nanoparticles-based electrochemical sensor. The pulse current of the sensor exhibited a linear increase with rising H2O2 concentration, demonstrating a high sensitivity of ∼382.2 µA cm-2 mM-1. This approach showed superb diagnostic performance, with an area under the curve of 1 for 24 clinical samples of Escherichia coli and Staphylococcus aureus, with a total detection time of 60 and 45 min, respectively. Furthermore, the performance of the sensor showed no degradation even after 100 detections, promising a substantial reduction in AST costs. Overall, the proposed approach exhibited immense potential for diagnosing bacterial antibiotic resistance.