FMCG hygiene products such as floor cleaners and surface-care formulations are multi-component liquid systems in which the final appearance and handling properties depend on the interaction between water, surfactants, solubilizers, fragrance oils, colorants, preservatives, pH modifiers, and functional additives. Even when the formulation appears simple, small changes in ingredient order, mixing intensity, dilution ratio, fragrance level, or additive dispersion can lead to cloudiness, phase separation, excess foam, loss of color uniformity, or inconsistent batch quality. For this reason, formulation development usually requires multiple small-batch trials before a stable and acceptable prototype is obtained.

Silver nanoparticle dispersion may be introduced into hygiene formulation research as a functional nanomaterial additive, especially when the broader development goal includes future antimicrobial or surface-hygiene evaluation. However, incorporating nanoparticle dispersions into FMCG-type liquids is not only a biological question; it is also a formulation-compatibility challenge. The nanoparticles must remain reasonably dispersed within the surfactant and fragrance-containing system without causing unacceptable aggregation, sedimentation, color shift, or instability. The base formulation should also remain visually acceptable after addition of the nanomaterial dispersion.

The NSL platform can support this type of formulation work by converting repeated manual trials into a structured and repeatable workflow. Reagent addition, sequence control, mixing duration, optional heating, and formulation-variant preparation can be defined through Protoly, allowing the same formulation matrix to be prepared more consistently across runs. In this protocol, silver nanoparticle dispersion is treated as one component within a larger FMCG hygiene formulation system.

This protocol is significant because it shifts FMCG hygiene formulation development from an informal trial-and-error process toward a documented, repeatable, and automation-assisted workflow. In manual formulation trials, small differences in ingredient addition, mixing time, surfactant ratio, and handling sequence may produce noticeably different results. This is especially true when fragrance oils, colorants, and nanoparticle dispersions are included in the same water-based system. NSL-assisted preparation allows these variables to be structured into a protocol that can be repeated, modified, and compared more reliably.

The main advantage of this workflow is rapid formulation iteration. Instead of preparing one formulation at a time without consistent process records, multiple formulation variants can be designed in Protoly and prepared using defined dispensing and mixing steps. This approach is useful when screening surfactant levels, solubilizer ratios, fragrance loading, colorant compatibility, AgNP dispersion level, and mixing duration. It also makes it easier to identify whether instability is caused by the base formulation, fragrance incorporation, nanoparticle addition, or mixing conditions.

The incorporation of AgNP dispersion gives the protocol an additional nanomaterial-formulation dimension. However, the function of AgNP in this protocol should be interpreted carefully. The presence of silver nanoparticles in a hygiene formulation prototype does not automatically establish antimicrobial or disinfectant performance. Biological activity depends on several factors, including nanoparticle concentration, availability of active silver species, formulation pH, surfactant interactions, contact time, target microorganisms, and test conditions. Therefore, this protocol should be considered a preparation and compatibility-screening workflow, not an antimicrobial efficacy test.

The protocol also has practical limitations. It does not determine long-term shelf stability, microbial challenge performance, disinfectant efficacy, preservative efficacy, surface compatibility, consumer safety, fragrance retention over time, or regulatory suitability. It does not include automated pH measurement, so pH must be recorded manually if required. The final formulation behaviour may depend on surfactant chemistry, fragrance composition, AgNP stabilizer system, water quality, temperature, and storage conditions. For publication or product-development use, the workflow should be followed by structured stability studies, microbiological assays, and safety evaluation.

Potential applications include floor cleaner prototype development, hygiene formulation screening, fragrance solubilization studies, surfactant system optimization, nanoparticle compatibility studies, surface-care formulation research, and training modules for automated FMCG product development. The same protocol framework can be adapted to other product categories such as handwash bases, surface sprays, fabric-care liquids, room-freshener concentrates, cosmetic cleansing systems, or beverage-model formulation studies where ingredient compatibility and reproducibility are important.

Overall, this protocol demonstrates how NSL and Protoly can support early-stage FMCG formulation development by standardizing ingredient addition, mixing sequence, nanoparticle incorporation, and post-preparation observation. Its value lies in generating comparable prototype batches with documented process conditions, which can guide later formulation optimization and validation.

This protocol provides a structured NSL-assisted method for preparing AgNP-enabled FMCG hygiene formulation prototypes and comparing key formulation attributes such as clarity, fragrance compatibility, color uniformity, foam behaviour, phase stability, and manual pH. The Protoly-guided workflow helps standardize component addition, mixing sequence, AgNP incorporation, and optional short-term stress conditions, thereby reducing variability commonly associated with manual formulation trials.

The potential impact of this protocol lies in its ability to connect nanomaterial-enabled formulation research with practical FMCG prototype development. Although the prepared samples are not validated disinfectant or consumer-ready products, the workflow can support future antimicrobial testing, stability evaluation, surfactant optimization, fragrance compatibility studies, and broader hygiene-product formulation research. It also provides a useful training model for demonstrating how automated systems can accelerate and document formulation iteration.