Bayu Tri Murti

Wearable systems for real‐time and long‐term musculoskeletal monitoring are increasingly required as shoulder‐neck disorders and upper‐arm injuries become more prevalent in aging and sedentary populations. However, achieving stable signal acquisition under complex deformation remains a critical challenge for existing sensing technologies. Here, we report a fully stretchable triboelectric–piezoelectric hybrid nanogenerator (S‐TPHNG) that enables deformation‐adaptive and dual‐modal self‐powered sensing under realistic biomechanical conditions. A compliant triboelectric nanocomposite interface is engineered by incorporating tin disulfide hierarchical nanostructures (SnS ₂ HNSs) as interfacial polarization regulators, enabling stable harvesting of contact‐ and strain‐induced mechanical stimuli. Kelvin probe force microscopy (KPFM) and density functional theory (DFT) calculations suggest that interfacial polarization modulation and charge redistribution contribute to enhanced electrical performance. Leveraging these insights, the S‐TPHNG enables contact–separation sensing for human–machine interaction applications and stretching‐mode sensing for muscle monitoring. When benchmarked against electromyography (EMG) measurements, the system achieves accurate, temporally resolved, and EMG‐correlated biomechanical signal interpretation under dynamic conditions, supported by a deep learning‐based decoding framework. This work establishes a deformation‐adaptive, mechanism‐informed self‐powered sensing strategy, integrating interfacial electromechanics, hybrid sensing, and artificial intelligence (AI)‐assisted signal decoding into a wearable biomechanical sensing platform.

Cancer is one of the most life‐threatening diseases worldwide. Numerous diagnostic and therapeutic techniques, such as nanomaterials‐based cancer detection and imaging‐guided focal therapy, are successfully developed to achieve highly precise cancer theranostic strategies. However, due to unpredictive alterations occurring in cancer cell morphology, a lack of sensitivity and selectivity is a critical challenge among most biomarkers’ detection. To address this issue, instead of targeting proteins or biomarkers, the detection of cancer using whole cell‐based biosensors are ubiquitously discovered through a selective oligonucleotide, so‐called aptamer. Aptamer‐based whole‐cell detection is concurrently engaged with various nanomaterials, such as magnetic beads, gold (Au) nanoparticles, and graphene family to establish a better performance of the biosensor. In this research review, the recent strategies and prospects on whole‐cell cancer detection platform based on electrochemical aptasensors integrated with nanomaterials are thoroughly discussed and summarized. Finally, future challenges and prospects are also provided.

The World Health Organization (WHO) has announced that Severe Acute Respiratory Syndrome Coronavirus‐2 (SARS‐CoV‐2) and Coronavirus disease (COVID‐19) is considered a worldwide pandemic. Rapidly rising numbers of patients have been reported in almost every country, along with the growing mortality rates. Uncontrolled growth in patient numbers may be due to reasons such as treatment options and vaccine availabilities and unidentified targets of SARS‐CoV‐2. Previous study has revealed that the molecular target of SARS‐CoV‐2 is analogous to SARS (2003), i.e. angiotensin‐converting enzyme‐2 (ACE‐2). Therefore, the determination of ACE‐2 may enrich existing information and facilitate development of drugs targeted toward SARS‐CoV‐2. This study aims to screen the expression of ACE‐2 genes and their relationship to the types of SNP variants in SARS‐CoV‐2. We explored a series of observations using powerful databases, e.g. GTEx portal, HaploReg, 1000 Genome and Ensembl, to identify the gene variant of ACE‐2. We showed that ACE‐2 is highly expressed in the testes and small intestine, while its lowest level is observed in lymphocytes. Subsequently, we observed 17 gene variants containing a missense mutation potentially damaging protein level. Among these genes, single nucleotide polymorphism (SNP) rs370187012 shows the highest damage‐level score, while the lowest effect is in SNP rs4646116. The highest frequency of the C allele was observed in European populations (1%). In addition to showing that ACE‐2 is expressed in several organs, we concluded that the ACE‐2 gene variation can be found in African, American, Southeast and East Asian, and European populations. The polymorphisms of ACE‐2 impact on the ACE2 protein structure and the binding capacity of the ACE‐2 receptor with the S‐Protein of SARS‐CoV‐2.

This work deals with first-principles and in silico studies of graphene oxide-based whole-cell selective aptamers for cancer diagnostics utilising a tunable-surface strategy. Herein, graphene oxide (GO) was constructed as a surface-based model with poly(N-isopropylacrylamide) (PNIPAM) covalently grafted as an “on/off”-switch in triggering interactions with the cancer-cell protein around its lower critical solution temperature. The atomic building blocks of the aptamer and the PNIPAM adsorbed onto the GO was investigated at the density functional theory (DFT) level. The presence of the monomer of PNIPAM stabilised the system’s π-π interaction between GO and its nucleobases as confirmed by higher bandgap energy, satisfying the eigenvalues of the single-point energy observed rather than the nucleobase and the GO complex independently. The unaltered geometrical structures of the surface emphasise the physisorption type interaction between the nucleobase and the GO/NIPAM surface. The docking result for the aptamer and the protein, highlighted the behavior of the PNIPAM-graft-GO is exhibiting globular and extended conformations, further supported by molecular dynamics (MD) simulations. These studies enabled a better understanding of the thermal responsive behavior of the polymer-enhanced GO complex for whole-cell protein interactions through computational methods.