Advances in artificial synaptic devices are indispensable for deepening the physical underpinnings of neural networks and for diversifying the tasks that artificial intelligence can tackle. Yet, the photonic synapses demonstrated so far mostly demand electrical readout or intricate heterostructures, and none has offered a built-in, material-level mechanism that unites short-term plasticity with long-term memory in a monolayer, all-optical platform. We introduce Ti-doped CaSb2O6 as a purely photonic synapse whose bifunctional shallow and deep traps natively partition volatile and non-volatile memory. Dual-wavelength UV control (275 nm excitation/365 nm inhibition) elicits short-term facilitation, spike-number-dependent potentiation, post-tetanic potentiation, and erasable storage. From these dynamics we derive an "Opto-Logistic" activation function and embed it in a lightweight neural network hosted on a microcontroller, demonstrating an AI "dog" that autonomously classifies vegetables and can be retrained for new categories like fruits within a reservoir-computing framework. The findings reveal how persistent luminescence can mirror biological synaptic physics and furnish both material and system-level design rules for scalable photonic neuromorphic processors.

Mechanoluminescence (ML)-the emission of light in response to mechanical stimuli-offers a direct and visually intuitive route for transducing mechanical information into optical signals. Herein, we report a mixed-anion strategy to prepare mixed-anion borate Sr2B5O9Cl:Eu phosphors through a facile, low-temperature, and ambient-atmosphere solid-state synthesis. Benefiting from the intrinsic self-reducing nature of the borate host, the phosphors demonstrate distinct blue and red photoluminescence under different excitation wavelengths. When embedded in a polydimethylsiloxane (PDMS) matrix, Sr2B5O9Cl:Eu exhibits bright blue ML centered at 423 nm without pre-irradiation. The ML intensity scales monotonically with the applied strain and decays under repeated mechanical stimulation. Interfacial triboelectric analyses reveal that the ML originates from a triboelectricity-driven electron-bombardment process at the phosphor-polymer interface. Leveraging this mechanism, a dual-mode secure label is fabricated by blending Sr2B5O9Cl:Eu with a conventional green ML phosphor (ZnS:Cu) in PDMS, enabling reversible ultraviolet authentication and irreversible mechanochromic tamper indication. This work establishes mixed-anion borates as a versatile platform for self-reduced ML materials and highlights interfacial charge engineering as a powerful strategy for advanced information security in the emerging Internet of Things ecosystem. (sic)(sic)(sic)(sic) ( Mechanoluminescence, ML ) (sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic) , (sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic),(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic).(sic)(sic)(sic)(sic)(sic)(sic) , (sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)Sr2B5O9Cl:Eu(sic)(sic)(sic).(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic) , (sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic).(sic)(sic)Sr2B5O9Cl:Eu(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic) ( PDMS ) (sic)(sic) , (sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic) , (sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)ML.(sic)(sic)(sic)(sic)(sic)ML(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic) , (sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic).(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic) , ML(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic).(sic)(sic)(sic) , (sic)(sic)(sic)Sr2B5O9Cl:Eu(sic)(sic)(sic)(sic)(sic)ML(sic)(sic)ZnS:Cu(sic)(sic)(sic)PDMS(sic) , (sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic) , (sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic).(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic) , (sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic).

Near-infrared (NIR) mechanoluminescent materials offer a promising route toward self-powered biomedical sensing; however, their development remains limited by insufficient emission efficiency and sensitivity under mechanical stimuli. Here, we report the synthesis of rare-earth-doped (Ca,Sr)ZnOS phosphor co-doped with Li+ ions, enabling enhanced NIR mechanoluminescence through optimized trap states and improved carrier dynamics. Structural and morphological analyses confirm phase-pure hexagonal lattices with uniform dopant distribution, while optical characterization reveals efficient NIR emission from Er3+, Pr3+ and Yb3+ activators. Under low mechanical excitation (4 N), the optimized phosphors exhibit stable and reproducible mechanoluminescent responses, demonstrating high sensitivity to variations in blood composition. As an in vitro proof-of-concept demonstration, the system enables detection of glucose and glycerol at concentrations as low as 0.01 g/mL (1000 mg/dL) and 0.01 mL, respectively. For comparison, normal physiological blood glucose level typically ranges from 70 to 100 mg/dL (0.0007-0.001 g/mL), indicating that the current detection threshold remains approximately one order of magnitude above clinically relevant concentrations. The attenuation behavior, governed by analyte-dependent absorption and scattering within the medium, provides a direct optical readout for biochemical analysis. Although further improvements in sensitivity are required for clinical implementation, these results establish the feasibility of NIR mechanoluminescence-based sensing and provide a foundation for future development toward clinically relevant applications.

Stretchable optoelectronics hold immense promise for next-generation wearable displays and soft robotics. However, the integration of high-quality white-light emission and information interaction in stretchable optoelectronic devices remains a formidable challenge. Herein, the stretchable white alternating current electroluminescent (ACEL) devices with persistent red emission are developed by integrating a long-afterglow phosphor (SrCaS:Eu) into a white ACEL system composed of ZnS:Cu and YAG:Ce. The resulting devices enable tunable white emission ranging from cold to warm white, while the color rendering index is significantly enhanced from 55 to 86. Moreover, the devices exhibit excellent mechanical robustness, retaining approximately 100% of their electroluminescent intensity after 4000 stretching cycles at 100% strain. Notably, under spectral measurement, these devices exhibit red afterglow lasting up to 2 min, enabling dynamic information encryption through spatially patterned persistent display. This work provides a new design paradigm for stretchable optoelectronic systems and offers a promising pathway toward secure and interactive communication technologies in the Internet of Things era.

With the growing demands for multilayered security and advanced anti-counterfeiting technologies, luminescent materials capable of multimodal excitation and color tuning are increasingly vital. Here, we report the solid-state synthesis of CaZnOS-based phosphors co-doped with Eu3+ and Pr3+, enabling excitation- and stress-dependent emission across a broad chromatic range. Systematic variation of Pr3+ concentration, with Eu3+ fixed at 1.5 %, revealed broad photoluminescence spanning red to bluish-green under UV excitation (290-490 nm) and mechanoluminescence with force-induced color evolution from red to green. Temperature-dependent PL further demonstrated clear thermochromic responses, particular in CaZnOS:1.5 %Eu3+,1 %Pr3+. Practical demonstrations in color-tunable handwriting and anticounterfeiting labels underscore the versatility of these phosphors in secure and interactive optical applications. The combination of remarkable color-tuning capability, robust mechanoluminescent performance, and thermal stability positions CaZnOS:Eu3+,Pr3+ as an ideal platform for next-generation e-signatures, security features, and integrated optoelectronic devices.

Multicolor mechanoluminescence (ML) materials have attracted growing attention for applications in anti-counterfeiting, smart skin, wearable electronics, and structural health monitoring. However, their widespread implementation remains significantly hindered by the scarce available compositions and harsh preparation conditions-typically requiring temperatures above 1000°C and protective atmospheres. Here, a facile, low-temperature, and atmosphere-free synthesis of calcium borate-based ML materials (Ca2B2O5 and CaB2O4) is achieved. The phase ratio of Ca2B2O5 and CaB2O4 is manipulated by adjusting the stoichiometric ratio of raw materials (H3BO3 and CaO). The distinct tetrahedral and octahedral coordination of Mn2+ in these phases gives rise to tunable ML emission spanning from green to orange (535-605 nm). When incorporated into polydimethylsiloxane (PDMS) elastomers, these materials exhibit remarkable multicolor ML suitable for multi-level optical encryption and motion visualization. The encrypted information remains hidden under daylight or UV illumination can be deciphered only through ML activation, while the stress-induced color variation enables real-time monitoring of joint movement. This work not only establishes a versatile route for the design of low-temperature, phase-tunable ML materials but also reveals promising applications in next-generation information security and intelligent motion-sensing technologies.

Multiple excitation-dependent (MED) luminescent materials offer unique opportunities for advanced applications in anti-counterfeiting, information encryption, and temperature sensing. However, achieving MED behavior within a single-dopant, single-matrix system remains a significant challenge. Here, we report a trace-doping strategy that enables MED luminescence in a single-matrix ZnS:Mn2+ mechanoluminescent phosphor. By coupling defect-mediated blue emission (approximate to 470 nm) with the characteristic Mn2+ orange emission (approximate to 590 nm), the phosphors exhibit multicolor emission that responds sensitively to multiple excitation parameters. Pronounced chromatic shifts from blue to orange are observed with variations in excitation wavelength and power density, while a continuous color transition is achieved over the temperature range of 313-373 K. Additionally, the phosphor exhibits a short-lived (1-2 s) afterglow and time-dependent color evolution, together with preserved mechanoluminescence, enabling dynamic multicolor emission under both optical and mechanical stimuli. Leveraging these features, multilevel anti-counterfeiting labels are demonstrated, in which encoded information can be selectively revealed under specific conditions of excitation power, temperature, and time. This work establishes a simple yet effective strategy for realizing MED behavior in a single-matrix system and provides a versatile platform for dynamic optical modulation and information security within the realm of Internet of Things.

Physical unclonable functions (PUFs) offer a promising defensive measure against the escalating challenges posed by the increasingly rampant counterfeit products. Conventional PUF materials with a singular physical property encounter limitations in encoding flexibility and capacity. Here, we propose a dual-color center diamond-based PUF (D-PUF) ink that exploits four diverse optical characteristics of dual-color center in diamond to design a concealable multi-level cryptographic authentication protocol. Through simple writing, stamping, or spraying, intricate covert random patterns can be directly generated on the objects, which are imperceptible under visible light. When challenged by a 532 nm laser, the D-PUF exhibits four distinct optical responses, including Raman, zero phonon line (ZPL) of germanium vacancies (GeV), ZPL of silicon vacancies (SiV), and the intensity ratios of these ZPLs. These responses were harvested simultaneously to construct the four-level separate encodable matrices. Furthermore, M-ary encoding algorithms were implemented to encrypt PUFs with flexibility. The resulting multi-level PUF system attains notable uniqueness, repeatability, extensive encoding capacity (> 10(48164)/(100 pixels)(2)), and ultra-high information entropy (6 bits/pixel). This study inspires designing new generations of multi-level PUFs with enhanced coding flexibility and holds significant promise for applications in print security.

In the complex human body fluids, neurotransmitters such as dopamine (DA) play a significant role in regulating physiological functions, thereby impacting the normal functioning of biological activities. Hence, employing a rapid and non-destructive analytical technique for precise measurement of these molecules is crucial. Here, a novel piezoelectric-enhanced ZnO/Ag microcavity SERS substrate was designed, enabling ultra-sensitive and instantaneous detection of DA molecules. This substrate achieves exceptional trace detection performance, with a detection limit for Rhodamine 6 G (R6G) molecules as low as 5x10- 13 M and a EF of 1.05x1011, DA can be accurately identified even at exceedingly low concentrations, demonstrating outstanding capabilities in trace detection. This innovative structure not only represents a breakthrough in the rapid trace detection of neurotransmitters but also introduces new avenues for research and diagnostics in fields such as precision medicine, neuroscience, and pharmaceutical development.

Neuromorphic computing systems hold promises to overcome the inefficiencies of conventional von Neumann architecture, which are constrained by data transfer bottlenecks. However, conventional electrically modulated synapses face inherent limitations such as limited switching speed, elevated power consumption, and substantial interconnection loss. Optical signaling offers a transformative alternative, leveraging ultrafast transmission, high bandwidth, and minimal crosstalk. Here, an all-optical synapse based on a mechanoluminescent material of Li0.1Na0.9NbO3:Pr3+ (LNN:Pr3+) is presented, which emulates biological synapses, including homologous and heterologous synaptic behaviors, through optical signal processing. The engineered trap depth distribution of LNN:Pr3+ enables multi-stimuli response to UV light, mechanical force, and thermal input, replicating diverse synaptic functionalities such as short-term potentiation (STP), long-term potentiation (LTP), paired-pulse facilitation (PPF), and learning-experience behavioral adaptation. Furthermore, its utility is showcased in hardware-level denoising and multimode-fused perception, achieving spatiotemporal feature extraction in dynamic environments. This work not only sheds light into designing fully optical synapses but also bridges mechanoluminescence (ML) with neuromorphic engineering, advancing energy-efficient, light-driven artificial intelligence technologies.

Mechanoluminescence (ML)-the phenomenon of light emission induced by mechanical stimuli-has garnered significant attention for its broad implications for next-generation sensing, imaging, and security technologies. Among the diverse families of ML materials, CaZnOS-based compounds have distinguished themselves through their remarkable light-emitting efficiency and structural adaptability. This review highlights recent advances in the synthesis, structural engineering, and mechanistic understanding of CaZnOS and its derivatives. Particular emphasis is placed on the role of rare-earth, transition-metal, and pnictogen dopants in modulating properties and enhancing ML performance. The tunable luminescent response of CaZnOS, driven by its distinct tetrahedral and octahedral lattice frameworks, enables a wide array of applications, including stress visualization, structural health monitoring, anti-counterfeiting, and optical information storage. Despite these achievements, critical challenges remain-most notably, in deciphering dopant-lattice interactions and optimizing crystal architecture. Promising research directions are also outlined that may unlock the full potential of CaZnOS-based ML systems in future smart material platforms.

Carbon nanodots(CDs)have emerged as a promising luminescent material,showing significant potential in biological imaging,information security,and illumination displays within the internet of things(IoT).However,CDs-based electroluminescent devices,especially flexible and self-powered white displays,remain scarcely reported,which limit their applications in human-machine interactions and wearable optoelectronics in the IoT.Herein,we present a pioneering CDs-based flexible and self-powered white display system with a Commission Internationale de L’Eclairage(CIE)coordinate of(0.31,0.39)by integrating CDs-based alternating current electroluminescent(ACEL)devices with triboelectric nanogenerators.The CDs-based white ACEL devices can be dynamically modulated from light green to white under various supplied frequencies ranging from 50 to 500 Hz.The devices also render from cold white to warm white with correlated color temperature from 9705 to 4538 K,as the concentration ratios of ZnS:Cu phosphors to CDs change from 22:2 to 22:8.Furthermore,these devices exhibit excellent flexibility and stability,maintaining over 95%of their electroluminescent intensities after 4500 cycles even under a large bending angle of 180° with a bending radius of 4.9 mm.Finally,this CDs-based flexible and self-powered white display system is worn on the human body to realize real-time illumination display powered by biomechanical energy,such as hand slapping and walking.This work provides a novel design strategy toward high-performance CD-based flexible and self-powered white displays and expands their potential applications in wearable optoelectronics for the IoT.

Self-powered display systems that integrate alternating current electroluminescence (ACEL) devices with triboelectric nanogenerators (TENGs) have shown great promise in human-machine interaction, smart displays, and security communications within the Internet of Things (IoT). However, their development has been significantly limited by undesirable flickering, which arises from the pulsed output characteristics of TENGs. Here, high-performance persistent phosphors ((Ca0.25Sr0.75)S:Eu) are incorporated into the ZnS:Cu-based ACEL devices to overcome this limitation, achieving an extended afterglow lifetime of 81 s and a sustained red emission lasting over 200 s. By integrating with TENGs, a self-powered persistent display system is realized that maintains bright red-emission for over 15 s. The varying afterglow intensities post power-off can distinguish directional movement (forward or backward), enabling motion trajectory recording and recognition, as demonstrated using floor-mounted TENGs to drive persistent display arrays. This strategy offers a new pathway for advanced self-powered display systems and broadens their application potential in the IoT landscape.

Mechanoluminescence (ML) is a fascinating phenomenon with diverse applications in pressure sensing, damage detection, and stress distribution visualization. However, most ML materials exhibit instantaneous photon emission that requires real-time recording with a photodetector, and thereby circumscribing their applicability predominantly to real-time stress-sensing scenarios. In this work, a novel method is introduced for non-real-time stress sensing utilizing Li0.1Na0.9NbO3:Pr3+ phosphor, which allows for the retrieval of pressure location and intensity even 20 days after the event. The influence of heat and pressure on the trap depth distribution is analyzed using thermoluminescence (TL) and ML measurements, and it is proved that both heat and pressure release the captured electrons in the same traps. Leveraging the intricate competition between mechanical and thermal detrapping processes, stress information can be accessed through TL imaging. Furthermore, an algorithm is proposed based on this phenomenon to authenticate the stress information. This research not only advances the fundamental understanding of ML phenomena but also introduces a novel approach for applications such as mechano-history indicators, security papers, and advanced data storage systems. In this work, a novel method is introduced for recording the stress distribution information by mechano/thermo dual-responsive particles (Li0.1Na0.9NbO3:Pr3+). The stress information including location and intensity can be retrieved even 20 days after the event without a continuous power supply. Furthermore, an algorithm is proposed to verify the authenticity of the transmitted information. image

The effective acquisition of hydrogen energy from the ocean offers a promising sustainable solution for increasing global energy shortage. Herein, a self-powered high-efficient hydrogen generation system is proposed by integrating a triboelectric–electromagnetic hybrid nanogenerator (TEHG), power management circuit (PMC), and an electrolytic cell. Under the wind triggering, as-fabricated TEHG can effectively convert breeze energy into electric energy, which demonstrates a high output current of 20.3 mA at a speed rotation of 700 rpm and the maximal output power of 13.8 mW at a load of 10 MΩ. Remarkably, asdesigned self-powered system can perform a steady and continuous water splitting to produce hydrogen (1.5 µL·min−1) by adding a matching capacitor between the PMC and electrolytic cell. In the circuit, the capacitor can not only function as a charge compensation source for water splitting, but also stabilize the working voltage. Unlike other self-powered water splitting systems, the proposed system does not need catalysts or the complex electrical energy storage/release process, thus improving the hydrogen production efficiency and reducing the cost. This work provides an effective strategy for clean hydrogen energy production and demonstrates the huge potential of the constructed self-powered system toward carbon neutralization.

Flexible electronics is a cutting-edge field that has paved the way for artificial tactile systems that mimic biological functions of sensing mechanical stimuli. These systems have an immense potential to enhance human–machine interactions (HMIs). However, tactile sensing still faces formidable challenges in delivering precise and nuanced feedback, such as achieving a high sensitivity to emulate human touch, coping with environmental variability, and devising algorithms that can effectively interpret tactile data for meaningful interactions in diverse contexts. In this review, we summarize the recent advances of tactile sensory systems, such as piezoresistive, capacitive, piezoelectric, and triboelectric tactile sensors. We also review the state-of-the-art fabrication techniques for artificial tactile sensors. Next, we focus on the potential applications of HMIs, such as intelligent robotics, wearable devices, prosthetics, and medical healthcare. Finally, we conclude with the challenges and future development trends of tactile sensors.

Physical unclonable functions (PUFs) have emerged as a promising encryption technology, utilizing intrinsic physical identifiers that offer enhanced security and tamper resistance. Multi-level PUFs boost system complexity, thereby improving system reliability and fault tolerance. However, crosstalk-free multi-level PUFs remain a persistent challenge. In this study, a hierarchical PUF system that harnesses the spontaneous phase separation of silk fibroin /PVA blend and the random distribution of silicon-vacancy diamonds within the blend is presented. The thermodynamic instability of phase separation and inherent unpredictability of diamond dispersion gives rise to intricate random patterns at two distinct scales, enabling time-efficient hierarchical authentication for cryptographic keys. These patterns are complementary yet independent, inherently resistant to replication and damage thus affording robust security and reliability to the proposed system. Furthermore, customized authentication algorithms are constructed: visual PUFs authentication utilizes neural network combined structural similarity index measure, while spectral PUFs authentication employs Hamming distance and cross-correlation bit operation. This hierarchical PUF system attains a high recognition rate without interscale crosstalk. Additionally, the coding capacity is exponentially enhanced using M-ary encoding to reinforce multi-level encryption. Hierarchical PUFs hold significant potential for immediate application, offering unprecedented data protection and cryptographic key authentication capabilities. A hierarchical PUF system is obtained by exploiting the spontaneous phase separation of the silk fibroin/PVA blend and the random distribution of silicon-vacancy (SiV) diamonds within the blend. The visual PUF based on random phase separation contours and the spectral PUFs based on the stable luminescence of SiV diamond can be used individually for authentication or in combination, as needed, thus affording robust security and reliability to the hierarchical PUF system. image

Abstract Mechanoluminescence (ML) is a unique luminescent phenomenon that converts mechanical energy into light energy. Recently, it has attracted the attention of many researchers due to its potential applications in visible stress sensing, wearable luminescent devices, self-powered electronic skin, and luminescent anti-counterfeiting. However, the absence of standardized testing methods and metrics for evaluating the performance of ML materials poses a hinderance to the development of ML. In this review, we focus on the ML testing methods, with an emphasis on the testing specimen, force application equipment and optical signal acquisition systems. Finally, we conclude with discussions on the future necessity and existing problems regarding the standardization of characterization methods for ML properties, aiming to provide a reference idea for the standardization of ML.

Functionalizing aggregation-induced emission molecules (AIEs) by confining them in porous materials is attracted extensive attention. Here stacked layers of hollow microtubular covalent organic frameworks (HT-COFs) are introduced as sub-nanoconfined sites (0.37 nm) to confine AIEs. The spacious hollow channels allow unimpeded entry for AIEs, while the interlayers perpendicular to the channels partially incarcerate the AIEs within the COFs layers. This effectively restricts the intramolecular rotation of AIEs and facilitates its radiative processes. Through exchanging of various AIEs, the versatility of the COFs interlayer as a restriction site is demonstrated. Furthermore, the sub-nanoconfined fluorescence in AIEs@HT-COFs displays reversible temperature dependence. Based on this, a temperature-tunable fluorescent Micro-QR code device is fabricated, wherein the encoded information disappears at a high-temperature and reemerges at a low-temperature. This work offers novel insights into confined fluorescence within functional materials and the fabrication of AIEs-COF multiplex frameworks. Hollow microtubular COFs (HT-COFs) with 0.37 nm subnanometer confinement sites are used to confine AIEs. The hollow channel allows easy access to the AIEs, while the interlayers partially trap AIEs, restricting their rotation and aiding the radiative processes. Besides, through exchanging of various AIEs, the versatility of the HT-COFs interlayer as a restriction site is demonstrated.image

As the Internet of Things (IoT) continues its pervasive influence and digital technologies increasingly weave into the fabric of daily lives, the imperative for robust security measures becomes paramount to mitigate the escalating risks to the digital landscape. Traditional anti-counterfeiting technologies, while capable to some extent, are constrained by factors such as material toxicity, low-security efficacy, and intricate fabrication process. Mechanoluminescent materials have shown great potential in the areas of anti-counterfeiting and security. Here, a multicolor mechanoluminescent (ML) material (lanthanide doped Ca2B2O5) synthesized by solid-phase reaction is reported for the first time at a relatively lower temperature of 750 degrees C. The ML devices are obtained by embedding ML materials into polydimethylsiloxane elastomer, allowing for stress visualization with colors ranging from blue and green to orange and red. Through elaborate co-doping, successive and accurate stress visualizations are realized. Finally, security labels based on the lanthanide ions doped Ca(2)B(2)O(5 )are prepared and also demonstrated to safeguard valuable packages. This work provides a novel multicolor ML material and pioneers its use in security labels, offering a universal solution for multicolor display, information security, dynamic anti-counterfeiting, and other potential applications within the realm of IoT.