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Interfacial dipole moment engineering in self-recoverable mechanoluminescent platform explores a simple and innovative method to modulate the internal triboelectric field in a self-recoverable mechanoluminescent platform. This study elucidates a direct relationship between dipole moment strength and mechanoluminescence brightness by modifying the surface of ZnS@metal oxide phosphor with functionalized benzoic acid derivatives. Our platform can be effectively applied to practical applications, including anti-counterfeiting systems. [Display omitted] • Interfacial modification enhances triboelectric field, boosting ML brightness by 27.4 %. • Aminobenzoic acid (ABA) surface treatment achieves significant ML performance increase. • Developed ML platform suitable for anti-counterfeiting and wearable display applications. • Surface dipole moment engineering offers a versatile approach to optimize ML properties for various applications. Harnessing the potential of mechanoluminescence (ML) for practical applications necessitates innovations that maximize brightness while simplifying the platform. Our study introduces a pioneering interfacial modification technique that enhances the internal triboelectric field in a self-recoverable ML platform based on zinc sulfide@metal oxide phosphor and a polydimethylsiloxane matrix. By chemically functionalizing the surface of metal oxide shells with benzoic acid derivatives, we modulate surface charge density thereby intensifying the triboelectric field within the ML platform. Utilizing a range of derivatives with varying dipole moments establishes a direct relationship between dipole moment strength and triboelectric enhancement. Notably, introducing aminobenzoic acid (ABA) onto the surface of the aluminum oxide (AlO x) shell results in a significant increase in ML brightness. Our strategy to easily adjust the ML brightness has been applied to anti-counterfeiting applications. Our study not only reveals the correlation between surface triboelectric fields and ML performance but also provides the possibility for practical use of self-recoverable ML platforms in various application fields, including smart textiles, health monitoring systems, and wearable displays. [ABSTRACT FROM AUTHOR] more...