Nanopore Identification of L-, D-Lactic Acids, D-Glucose and Gluconic Acid in the Serum of Human and Animals.

DL-Lactic acid and D-glucose are important human health indicators. Their aberrant levels in body fluids may indicate a variety of human pathological conditions, suggesting an urgent need of daily monitoring. However, simultaneous and rapid analysis of DL-lactic acid and D-glucose using a sole but simple sensing system has never been reported. Here, an engineered Mycobacterium smegmatis porin A (MspA) nanopore is used to simultaneously identify DL-lactic acid and D-glucose. Highly distinguishable nanopore event features are reported. Assisted with a custom machine learning algorithm, direct identification of DL-lactic acid and D-glucose is performed with human serum, demonstrating its sensing reliability against complex and heterogeneous samples. This sensing strategy is further applied in the analysis of different animal serum samples, according to which gluconic acid is further identified. The serum samples from different animals report distinguishable levels of DL-lactic acid, D-glucose and gluconic acid, suggesting its potential applications in agricultural science and breeding industry. This sensing strategy is generally direct, rapid, economic and requires only ≈µL of input serum, suitable for point of care testing (POCT) applications.

Nanopore Signatures of Nucleoside Drugs.

Nucleoside drugs, which are analogues of natural nucleosides, have been widely applied in the clinical treatment of viral infections and cancers. The development of nucleoside drugs, repurposing of existing drugs, and combined use of multiple drug types have made the rapid sensing of nucleoside drugs urgently needed. Nanopores are emerging single-molecule sensors that have high resolution to resolve even minor structural differences between chemical compounds. Here, an engineered Mycobacterium smegmatis porin A hetero-octamer was used to perform general nucleoside drug analysis. Ten nucleoside drugs were simultaneously detected and fully discriminated. An accuracy of >99.9% was consequently reported. This sensing capacity was further demonstrated in direct nanopore analysis of ribavirin buccal tablets, confirming its sensing reliability against complex samples and environments. No sample separation is needed, however, significantly minimizing the complexity of the measurement. This technique may inspire nanopore applications in pharmaceutical production and pharmacokinetics measurements.