Self-healing polyacrylates based on dynamic disulfide and quadruple hydrogen bonds.

Herein, a self-healing polyacrylate system was successfully prepared by introducing crosslinking agents containing disulfide bonds and monomers capable of forming quadruple hydrogen bonds through free radical copolymerization. This polymer material exhibited good toughness and self-healing properties through chemical and physical dual dynamic networks while maintaining excellent mechanical properties, which expanded the development path of self-healing acrylate materials. Compared to uncrosslinked and single dynamically crosslinked polymers, its elongation at break was as high as 437%, and its tensile strength was 5.48 MPa. Due to the presence of dual reversible dynamic bonds in the copolymer system, good self-healing was also achieved at 60 °C. In addition, differential scanning calorimetry and thermogravimetric analysis measurements confirmed that the thermal stability and glass transition temperature of the material were improved owing to the presence of physical and chemical cross-linking networks.

Single-Molecule Sensing of Acidic Catecholamine Metabolites Using a Programmable Nanopore.

Acidic catecholamine metabolites, which could serve as diagnostic markers for many diseases, demonstrate an importance of accurate sensing. However, they share a highly similar chemical structure, which is a challenge in the design of sensing strategies. A nanopore may be engineered to sense these metabolites in a single molecule manner. To achieve this, a recently developed programmable nano-reactor for stochastic sensing (PNRSS) technique adapted with a phenylboronic acid (PBA) adaptor was applied. Three acidic catecholamine metabolites, including 3,4-dihydroxyphenylacetic acid (DOPAC), 3,4-dihydroxymandelic acid (DHMA) and 3-methoxy-4-hydroxymandetic acid (VMA) were investigated by PNRSS. Specifically, DHMA, which contains an α-hydroxycarboxylate moiety and an adjacent cis-hydroxyl groups on its benzene ring, reports two binding modes simultaneously resolvable by PNRSS. Assisted with the high resolution of PNRSS, direct regulation of these two binding modes by pH can also be observed. A custom machine learning algorithm was also developed to achieve automatic event classification.

A Nanopore-Based Saccharide Sensor.

Saccharides play critical roles in many forms of cellular activities. Saccharide structures are however complicated and similar, setting a technical hurdle for direct identification. Nanopores, which are emerging single molecule tools sensitive to minor structural differences between analytes, can be engineered to identity saccharides. A hetero-octameric Mycobacterium smegmatis porin A nanopore containing a phenylboronic acid was prepared, and was able to clearly identify nine monosaccharide types, including D-fructose, D-galactose, D-mannose, D-glucose, L-sorbose, D-ribose, D-xylose, L-rhamnose and N-acetyl-D-galactosamine. Minor structural differences between saccharide epimers can also be distinguished. To assist automatic event classification, a machine learning algorithm was developed, with which a general accuracy score of 0.96 was achieved. This sensing strategy is generally suitable for other saccharide types and may bring new insights to nanopore saccharide sequencing.

A DNAzyme-based label-free fluorescent probe for guanosine-5'-triphosphate detection.

Guanosine-5'-triphosphate (GTP) plays a key role in many important biological processes of cells. It is not only a primer for DNA replication and one of the four essential nucleoside triphosphates for mRNA synthesis, but also an energy source for translation and other important cellular processes. It can be converted to adenine nucleoside triphosphate (ATP), and the intracellular GTP level is closely related to the specific pathological state, so it is crucial to establish a simple and accurate method for the detection of GTP. Deoxyribozymes have unique catalytic and structural properties. One of the deoxyribozymes which is named DK2 with self-phosphorylation ability can transfer a phosphate from GTP to the 5' end in the presence of manganese(ii), while lambda exonuclease (λexo) catalyzes the gradual hydrolysis of double-stranded DNA molecules phosphorylated at the 5'-end from 5' to 3', but cannot cleave the 5'-OH end. The fluorescent dye SYBR Green I (SG I) can bind to dsDNA and produce significant fluorescence, but it can only give out weak fluorescence when it is mixed with a single strand. Here, we present a novel unlabeled fluorescence assay for GTP based on the self-phosphorylation of deoxyribozyme DK2 and the specific hydrolysis of λexo. Owing to the advantages of simple operation, high sensitivity, good specificity, low cost and without fluorophore (quenching group) labeling, this method has great potential in biological applications.

A Nanopore Based Molnupiravir Sensor.

Nucleoside analogues are reagents that resemble the structure of natural nucleosides and are widely applied in antiviral and anticancer therapy. Molnupiravir, a recently reported nucleoside analogue drug, has shown its inhibitory effect against SARS-CoV-2. Rapid tracing of molnupiravir and its metabolites is important in the evaluation of its pharmacology effect, but direct sensing of molnupiravir as a single molecule has not been reported to date. Here, we demonstrate a nanopore-based sensor with which direct sensing of molnupiravir and its two major metabolites ß-d-N4-hydroxycytidine and its triphosphate can be achieved simultaneously. In conjunction with a custom machine learning algorithm, an accuracy of 92% was achieved. This sensing strategy may be useful in the current pandemic and is in principle suitable for other nucleoside analogue drugs.

Identification of Single-Molecule Catecholamine Enantiomers Using a Programmable Nanopore.

Enantiomers, chiral isomers with opposite chirality, typically demonstrate differences in their pharmacological activity, metabolism, and toxicity. However, direct discrimination between enantiomers is challenging due to their similar physiochemical properties. Following the strategy of programmable nanoreactors for stochastic sensing (PNRSS), introduction of phenylboronic acid (PBA) to a Mycobacterium smegmatis porin A (MspA) assists in the identification of the enantiomers of norepinephrine and epinephrine. Using a machine learning algorithm, identification of the enantiomers has been achieved with an accuracy of 98.2%. The enantiomeric excess (ee) of a mixture of enantiomeric catecholamines was measured to determine the enantiomeric purity. This sensing strategy is a faster method for the determination of ee values than liquid chromatography-mass spectrometry and is useful as a quality control in the industrial production of enantiomeric drugs.

Identification of nucleoside monophosphates and their epigenetic modifications using an engineered nanopore.

RNA modifications play critical roles in the regulation of various biological processes and are associated with many human diseases. Direct identification of RNA modifications by sequencing remains challenging, however. Nanopore sequencing is promising, but the current strategy is complicated by sequence decoding. Sequential nanopore identification of enzymatically cleaved nucleoside monophosphates may simultaneously provide accurate sequence and modification information. Here we show a phenylboronic acid-modified hetero-octameric Mycobacterium smegmatis porin A nanopore, with which direct distinguishing between monophosphates of canonical nucleosides, 5-methylcytidine, N6-methyladenosine, N7-methylguanosine, N1-methyladenosine, inosine, pseudouridine and dihydrouridine was achieved. A custom machine learning algorithm, which reports an accuracy of 0.996, was also applied to the quantitative analysis of modifications in microRNA and natural transfer RNA. It is generally suitable for sensing of a variety of other nucleoside or nucleotide derivatives and may bring new insights to epigenetic RNA sequencing.

Programmable nano-reactors for stochastic sensing.

Chemical reactions of single molecules, caused by rapid formation or breaking of chemical bonds, are difficult to observe even with state-of-the-art instruments. A biological nanopore can be engineered into a single molecule reactor, capable of detecting the binding of a monatomic ion or the transient appearance of chemical intermediates. Pore engineering of this type is however technically challenging, which has significantly restricted further development of this technique. We propose a versatile strategy, "programmable nano-reactors for stochastic sensing" (PNRSS), by which a variety of single molecule reactions of hydrogen peroxide, metal ions, ethylene glycol, glycerol, lactic acid, vitamins, catecholamines or nucleoside analogues can be observed directly. PNRSS presents a refined sensing resolution which can be further enhanced by an artificial intelligence algorithm. Remdesivir, a nucleoside analogue and an investigational anti-viral drug used to treat COVID-19, can be distinguished from its active triphosphate form by PNRSS, suggesting applications in pharmacokinetics or drug screening.