prodchem
Sep 10, 2026
Pharmaceutical formulation research increasingly depends on understanding materials at smaller length scales, particularly as drug delivery systems become more complex. The expansion of Park Systems' NANOscientific Symposium beyond traditional atomic force microscopy could point toward characterization approaches with future relevance to pharmaceutical formulations, nanomaterials and nanoparticle drug delivery.
The 2026 NANOscientific Symposium Korea, held in August at Park Systems' new headquarters in Gwacheon, brought together nearly 200 researchers and industry professionals. The program expanded beyond AFM into artificial intelligence, nanoscale infrared spectroscopy, optical measurement and other advanced metrology areas.
For pharmaceutical researchers, these developments are not evidence that the symposium has become a pharmaceutical characterization event. Instead, they illustrate how nanoscale measurement is becoming more multidisciplinary, creating technologies that could eventually help researchers examine formulation structure, surface properties and nanoscale interactions.
Pharmaceutical formulations can contain complex combinations of active ingredients, excipients, polymers, lipids and other functional materials. Their performance may depend on properties that are difficult to resolve using conventional bulk analytical methods alone.
At the nanoscale, researchers may need to understand surface morphology, particle distribution, local mechanical properties, electrical behavior or chemical composition. These characteristics can influence how a formulation behaves during processing, storage or drug delivery.
Atomic force microscopy has already established a role in nanoscale materials characterization because it can provide high-resolution surface information. The broader direction highlighted at NSS Korea suggests that researchers are increasingly combining nanoscale imaging with chemical, optical and computational information.
That combination could become useful for pharmaceutical scientists investigating increasingly sophisticated delivery systems.
The 2026 NSS Korea program covered substantially more than conventional AFM applications. Park Systems reported sessions involving AI-driven AFM, photo-induced force microscopy, nanoscale infrared characterization, optical measurement, semiconductor metrology and advanced packaging.
One presentation demonstrated an AI-driven AFM workflow using machine-learning segmentation and sparse sampling to reconstruct quantitative piezoresponse force microscopy images. The work illustrates how computational methods could help accelerate nanoscale measurements while retaining useful characterization information.
Another focus was photo-induced force microscopy, or PiFM, for nanoscale infrared analysis. The technology was presented in the context of materials research, including nanoscale characterization of crystalline structures and low-dimensional materials.
The pharmaceutical relevance is therefore prospective. Techniques developed for one materials science application can sometimes become useful elsewhere when researchers need localized chemical, structural or surface information.
Traditional AFM is particularly useful for mapping surface structure and topography, but pharmaceutical researchers may also need information about chemical composition at specific locations.
Nanoscale infrared techniques could potentially complement topographical measurements by providing localized information related to chemical or molecular characteristics. Park Systems' NSS Korea materials describe PiFM as part of a broader expansion into nanoscale chemical, optical and structural characterization.
For formulation research, that type of capability could eventually help investigate heterogeneous systems where different components are distributed across small particles or complex surfaces.
Potential research areas include polymer-based delivery systems, nanoparticle formulations, lipid-containing materials and other heterogeneous pharmaceutical platforms.
The important point is that the technology would complement, rather than replace, established analytical techniques. Bulk spectroscopy, chromatography, microscopy and particle-sizing methods would continue to provide essential information at different scales.
The integration of artificial intelligence into nanometrology was one of the notable themes at NSS Korea. Park Systems highlighted an AI-driven AFM workflow that used machine learning to segment images and reconstruct information from sparse sampling.
For pharmaceutical research, faster data processing could become important as formulation development generates increasingly large volumes of microscopy and analytical data.
Automated image interpretation could help researchers identify patterns across large datasets, compare experimental batches or focus human analysis on samples showing unusual characteristics.
However, pharmaceutical applications would require careful validation. Algorithms used to interpret formulation data would need to demonstrate reproducibility, appropriate accuracy and suitability for the intended research or quality environment.
AI therefore represents a potential efficiency tool rather than a substitute for validated scientific judgment.
Nanoparticle drug delivery is one area where nanoscale characterization naturally becomes important. Researchers may need to understand particle dimensions, morphology, surface properties and interactions with surrounding materials.
The more complex a delivery platform becomes, the more valuable localized characterization can become. This is particularly relevant where particle performance depends on surface coatings, multilayer structures or spatially variable material properties.
NSS Korea's expansion into nano-IR and optical measurement demonstrates the availability of complementary approaches that can examine different aspects of nanoscale materials.
For pharmaceutical researchers, the longer-term opportunity is to combine these approaches with established formulation analytics. Such integration could help bridge the gap between bulk material measurements and localized nanoscale behavior.
Surface properties can influence how pharmaceutical particles interact with their environment. Factors such as roughness, morphology and local composition may affect processing behavior, stability and interactions with other formulation components.
AFM-based methods can provide detailed surface information without requiring the same type of sample preparation used by some electron microscopy approaches. The broader Park Systems portfolio also includes electrical and optical characterization technologies designed for different materials research needs.
For formulation scientists, the value would depend heavily on the specific material and research question. A technique that provides useful information for a thin film or nanostructured material may require adaptation before becoming practical for a pharmaceutical formulation.
This makes method development and validation essential before any advanced nanometrology technique is incorporated into routine pharmaceutical workflows.
The expanding NSS program provides a useful indicator of where nanoscale measurement technology is heading. Its 2026 scope included AI, AFM, nano-IR, optical measurement and industrial metrology, showing a move toward broader characterization ecosystems rather than isolated instruments.
Pharmaceutical researchers should watch several areas in particular:
Chemical mapping: Techniques that combine spatial resolution with localized chemical information could be relevant to heterogeneous formulations.
Automated analysis: AI-assisted microscopy may help process larger datasets and improve measurement throughput.
Multimodal measurement: Combining topographical, chemical, optical and mechanical information could provide more complete material profiles.
Nanoparticle characterization: Improved nanoscale methods may support research into advanced delivery systems and functional particles.
Reproducibility: As these techniques move toward broader industrial use, repeatability and standardized measurement approaches will become increasingly important.
These developments should be viewed as technology signals rather than immediate changes to pharmaceutical quality-control practice.
The expansion of nanoscale characterization also has implications for companies supplying pharmaceutical-grade chemicals and formulation materials.
As analytical capabilities become more precise, formulation developers may demand better understanding of raw material characteristics. Particle morphology, surface behavior, purity and material consistency can become more important when chemicals are incorporated into advanced delivery systems.
Suppliers may therefore face greater pressure to provide detailed technical documentation and consistent material specifications.
For procurement teams, this can influence supplier qualification. Price and availability remain important, but the ability to provide reliable technical data may become increasingly relevant for specialized formulation ingredients.
This trend could be particularly significant for materials used in nanoparticle systems, polymers, excipients and other formulation components where nanoscale properties can influence performance.
Pharmaceutical procurement teams do not need to adopt every emerging nanometrology technology. They can, however, prepare for more demanding characterization requirements by strengthening supplier information and material traceability.
Useful steps include:
Review technical specifications: Ensure suppliers provide sufficiently detailed information for critical formulation materials.
Track material consistency: Monitor changes between production lots that could affect formulation behavior.
Strengthen supplier documentation: Maintain access to certificates, analytical data and relevant technical information.
Coordinate with formulation teams: Procurement decisions should reflect the analytical requirements of research and development groups.
Assess specialty suppliers: Consider suppliers with strong technical support when materials are used in advanced drug delivery research.
Monitor emerging analytical methods: Understanding new characterization capabilities can help procurement teams anticipate future material requirements.
This approach can help bridge the traditional gap between purchasing decisions and laboratory characterization.
Park Systems' decision to broaden NANOscientific Symposium programming beyond AFM reflects a wider convergence of measurement technologies. The 2026 event included nanoscale infrared analysis, optical measurement and AI alongside established AFM techniques.
Pharmaceutical research could eventually benefit from this convergence as scientists seek more detailed information about increasingly complex formulations.
The opportunity is particularly relevant to nanoparticle drug delivery, advanced excipients and structured formulation systems where bulk measurements may not capture all of the material's behavior.
However, the path from a promising nanometrology technique to routine pharmaceutical application is likely to require substantial validation, method development and integration with established analytical workflows.
That makes the current developments more useful as an early indicator of technological direction than as an immediate pharmaceutical manufacturing change.
NSS Korea 2026 demonstrated how nanometrology is expanding from conventional AFM into AI-assisted analysis, nanoscale infrared characterization, optical measurement and other complementary technologies.
For pharmaceutical formulation research, the significance lies in the possibility of obtaining more detailed information about materials at the nanoscale. Future applications could include nanoparticle characterization, formulation heterogeneity studies and localized surface or chemical analysis.
The technology remains an emerging opportunity rather than an established pharmaceutical standard. Researchers and procurement teams should nevertheless monitor these developments as formulation science moves toward more complex materials and increasingly precise characterization requirements.
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