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    Systematic evaluation of spectral preprocessing and machine learning for near-infrared prediction of mechanical stability in complex colloidal systems
    (2026-06-30)
    Suttho, Pisit
    ;
    Phetpan, Kittisak
    ;
    Al Riza, Dimas Firmanda
    ;
    Lim, Chin Hock
    ;
    Kuson, Pramote
    Natural rubber latex (NRL) is a critical industrial material, with concentrated rubber latex (CRL) serving as a major export product. Among its quality parameters, mechanical stability time (MST) is particularly important, reflecting colloidal stability and influencing downstream applications such as glove and balloon manufacturing. Conventional MST testing, however, relies on reagents, manual agitation, and visual assessment, making it labor-intensive, operator-dependent, and unsuitable for real-time quality monitoring. Since variations in proteins, lipids, and carbohydrates strongly govern MST, near-infrared (NIR) spectroscopy offers a promising non-destructive alternative by probing their molecular vibrations. This study developed a near-process NIR instrumentation system integrated with machine learning (ML) to predict MST in CRL. Spectral signals were preprocessed using eight techniques and modeled with five supervised regression algorithms. The best-performing configuration, Savitzky-Golay second derivative and orthogonal signal correction coupled with partial least squares regression, yielded high predictive accuracy, with coefficient of determination for prediction (R<sup>2</sup><inf>p</inf>) of 0.94 and ratio of performance to deviation (RPD) of 4.2. This performance demonstrates the system's ability to extract chemically relevant information governing latex stability. The proposed NIR-ML framework provides a rapid, reagent-free, and scalable alternative to conventional MST testing, addressing the limitations of existing methods and supporting industrial quality monitoring. This approach is also transferable to the analysis of complex colloidal systems across diverse applications. Furthermore, the study provides mechanistic insight into how spectral preprocessing enhances the extraction of chemically meaningful information, establishing a physically interpretable framework for NIR-based analysis of such complex systems.
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    Stable Nanoemulsion System Development Enabling the Topical Delivery of Synechococcus-Derived Peptides
    (2026-03-01)
    Keawbankrud, Wannisa
    ;
    Nakyai, Wongnapa
    ;
    Phunpruch, Saranya
    ;
    Sangtanoo, Papassara
    ;
    Karnchanatat, Aphichart
    Marine microalgae including Synechococcus sp. VDW offer the potential to serve as a source of bioactive peptides offering valuable antioxidant and antimelanogenic qualities for use in the pharmaceutical and cosmetics industries. At present, however, the use of such peptides is challenging due to their poor physicochemical stability. This research therefore sought to achieve the production and characterization of a stable nanoemulsion system based upon the use of synthetic Synechococcus-derived peptides through the process of high-pressure homogenization (HPH). Preparation of the nanoemulsions involved the use of Tween-80 and caprylic/capric triglyceride at a pressure of 7,500 psi to perform homogenization for varying durations of 15, 30 and 45 min. Using the optimized formulation with 0.1% w/w peptide for a time of 45 min resulted in 122.16 nm droplets while the zeta potential was −80.09 mV and the PDI (polydispersity index) value was 0.13. Colloidal stability could be considered high, while physical stability under thermal cycling, centrifugation and freeze-thaw cycles was very good, with no phase separation. For all testing intervals, the viscosity and refractive index were stable. It can thus be argues that the HPH approach is suitable to produce peptide-loaded nanoemulsions offering good stability and useful physicochemical characteristics. The developed nanoemulsion system has been optimized to offer potential for applications involving the transdermal delivery of marine peptides in the cosmeceutical sector and for a range of dermal therapies.