Open Access Article
Suleiman Ibrahim
Mohammad
ab,
Hijran Sanaan
Jabbar
cd,
Asokan
Vasudevan
ef,
I. B.
Sapaev
ghi,
M. M.
Rekha
j,
S.
Gayathri
kp,
Hazem
Zabebah
l,
Renu
Sharma
m,
Pusparaj
Samantsinghar
n and
Shayan
Mahmoodi
*o
aElectronic Marketing and Social Media, Economic and Administrative Sciences Zarqa University, Jordan
bResearch Follower, INTI International University, 71800 Negeri Sembilan, Malaysia
cDepartment of Chemistry, College of Science, Salahaddin University-Erbil, Erbil, Kurdistan Region, Iraq
dDepartment of Anesthesia Technology, College of Health Technology, Knowledge University, Kirkuk Road, 44001 Erbil, Iraq
eFaculty of Business and Communications, INTI International University, 71800 Negeri Sembilan, Malaysia
fShinawatra University, 99 Moo 10, Bangtoey, Samkhok, Pathum Thani 12160, Thailand
gHead of the Department Physics and Chemistry, Tashkent Institute of Irrigation and Agricultural Mechanization Engineers, National Research University, Tashkent, Uzbekistan
hScientific Researcher of the University of Tashkent for Applied Science, Schools of Engineering, Central Asian University, Tashkent 111221, Uzbekistan
iWestern Caspian University, Scientific Researcher, Baku, Azerbaijan
jDepartment of Chemistry and Biochemistry, School of Sciences, JAIN (Deemed to be University), Bangalore, Karnataka, India
kDepartment of Chemistry, Sathyabama Institute of Science and Technology, Chennai, Tamil Nadu, India
lDepartment of Medical Analysis, Medical Laboratory Technique College, The Islamic University, Najaf, Iraq
mDepartment of Chemistry, University Institute of Sciences, Chandigarh University, Mohali, Punjab, India
nDepartment of Forensic Medicine & Toxicology, IMS and SUM Hospital, Siksha ‘O’ Anusandhan (Deemed to be University), Bhubaneswar, Odisha-751003, India
oDepartment of Chemistry, Young Researchers and Elite Club, Tehran Branch, Islamic Azad University, Tehran, Iran. E-mail: sh.mahmoodiacademic@gmail.com
pSharda School of Engineering and Science, Sharda University, Greater Noida, India
First published on 11th December 2025
Ensuring food safety requires rapid, sensitive detection of pathogens and contaminants, driven by global challenges such as rising foodborne illnesses and regulatory demands for real-time monitoring. This review examines cesium lead bromide (CsPbBr3) perovskite quantum dots (PQDs) as advanced fluorescent nanosensors for multiplexed detection of foodborne pathogens (e.g., Salmonella, Vibrio) and non-pesticide contaminants (e.g., mycotoxins, heavy metals, dyes, antibiotics) in complex food matrices. Utilizing high quantum yields and narrow emission spectra, these nanosensors achieve detection limits as low as 10 colony-forming units per milliliter (CFU mL−1) and sub-nanomolar levels via fluorescence resonance energy transfer (FRET), photoinduced electron transfer (PET), and aggregation-induced quenching (AIQ) mechanisms. We explore advanced synthesis methods (hot-injection, ligand-assisted reprecipitation (LARP), microfluidics) and surface modifications (molecularly imprinted polymers (MIP), metal–organic frameworks (MOF), silica coatings) to enhance stability and specificity. This focused and up-to-date comprehensive review is dedicated to the use of CsPbBr3 PQDs in the fluorescence-based detection of foodborne pathogens and non-pesticide contaminants. Unlike prior reviews on general perovskite QDs or broader nanosensors, it provides a structured framework emphasizing synthesis strategies, detection mechanisms in real food matrices, comparative performance with other nanomaterials, toxicity mitigation, and prospects for IoT-integrated, regulatory-compliant, field-deployable sensing technologies. The review addresses toxicity and instability challenges through lead-free alternatives and Internet of Things (IoT)-integrated platforms, paving the way for scalable, real-time food safety diagnostics.
| Shayan Mahmoodi Dr. Shayan Mahmoodi is a researcher in the Department of Chemistry, Young Researchers and Elite Club, Tehran Branch, Islamic Azad University, Tehran, Iran. He specializes in nanomaterials and fluorescent sensor development, with a focus on CsPbBr3 perovskite quantum dots for ultrasensitive detection of foodborne pathogens and non-pesticide contaminants, such as mycotoxins and heavy metals, in food safety applications. Mahmoodi leads interdisciplinary research projects on sustainable nanotechnology, advancing sensor designs for real-time, field-deployable food safety monitoring, with an emphasis on improving stability and regulatory compliance. |
000 deaths and significant economic losses.1–4 Foodborne pathogens, such as Salmonella spp., Vibrio parahaemolyticus, and Helicobacter pylori, alongside non-pesticide contaminants like mycotoxins, heavy metals, illegal dyes, and pharmaceutical residues, pose severe risks to public health and food supply chains.5–10 These contaminants, stemming from environmental pollution, unregulated processing, or intentional adulteration, demand rapid, sensitive, and cost-effective detection methods to ensure consumer safety and compliance with stringent regulatory standards.4 Conventional techniques, such as enzyme-linked immunosorbent assays (ELISA),11,12 polymerase chain reaction (PCR),13,14 and high-performance liquid chromatography (HPLC),15,16 while reliable, are often labor-intensive, time-consuming, and require sophisticated instrumentation, limiting their use in resource-constrained or real-time field settings.
Beyond conventional methods, emerging techniques have shown promise in addressing these gaps, though they come with their own challenges. For instance, noble metal nanoparticle-based colorimetric sensors leverage localized surface plasmon resonance for straightforward, naked-eye detection of contaminants like heavy metals, pesticides, and foodborne pathogens, offering high sensitivity and versatility through surface modifications.123 However, their stability in complex food matrices can be compromised by aggregation or oxidation, limiting long-term reliability. Similarly, metal–organic frameworks (MOFs)-based chemosensors and biosensors provide tunable porosity and bioaffinity for fluorescence, electrochemical, or photoelectrochemical detection of antibiotics, ions, and additives, enabling selective analysis in foodstuffs.124 Yet, MOFs often require complex synthesis and may suffer from poor water stability or signal interference in real samples. Nano-liquid chromatography, with its enhanced sensitivity and resolution for pharmaceuticals, pesticides, and mycotoxins in food and environmental samples, represents advancement, but it demands specialized instrumentation and extensive sample preparation, restricting on-site use.125 These techniques highlight the ongoing need for more robust, portable, and integrated sensing platforms, where nanomaterials like perovskites could offer complementary advantages in optical performance and multiplexed capabilities.
Recent advances in nanomaterials have revolutionized the field of biosensing, offering novel solutions to overcome the constraints of traditional methods.17,18 Among these, all-inorganic cesium lead bromide (CsPbBr3) perovskite quantum dots (PQDs) have emerged as a highly promising platform for fluorescence-based sensing due to their exceptional photophysical properties.19,20 CsPbBr3 PQDs exhibit high photoluminescence quantum yields (PLQYs, up to 90%), narrow emission linewidths (<20 nm), and tunable bandgap energies that minimize spectral overlap with background autofluorescence in complex food matrices.21,22 Their strong quantum confinement effects, particularly in the 2–8 nm size range, enhance radiative recombination kinetics, supporting time-resolved fluorescence measurements critical for distinguishing analyte-specific signals.23 Additionally, their high exciton binding energy (>40 meV) ensures luminescence stability at room temperature, making them suitable for aqueous and semi-solid food environments.22 These properties position CsPbBr3 PQDs as ideal candidates for detecting a diverse array of food safety hazards, including bacterial pathogens, mycotoxins (e.g., patulin, aflatoxin B1), heavy metals (e.g., Cu2+, Hg2+), illegal dyes (e.g., Sudan I–IV), and pharmaceutical residues (e.g., tetracycline).
The versatility of CsPbBr3 PQDs in food safety sensing stems from their ability to transduce molecular recognition events into quantifiable fluorescence signals through mechanisms such as fluorescence resonance energy transfer (FRET), photoinduced electron transfer (PET), aggregation-induced quenching (AIQ), and analyte-induced ion exchange, enabling sensitive detection in complex matrices.23–26 These attributes position CsPbBr3 PQDs as ideal candidates for addressing current gaps in food safety diagnostics, yet their full potential remains underexplored in a comprehensive context.
Despite their remarkable potential, the practical deployment of CsPbBr3 PQDs faces several challenges. Their ionic lattice structure renders them highly susceptible to degradation in aqueous, oxygen-rich, or acidic environments, leading to fluorescence quenching and reduced sensor reliability.21,27 Lead toxicity is another critical barrier, as Pb2+ leaching from degraded PQDs poses health risks and conflicts with stringent food safety regulations set by agencies like the FDA and WHO.4 Furthermore, achieving reproducible synthesis and functionalization remains difficult, with batch-to-batch variations in size, shape, and optical properties impacting sensor performance.28 Matrix effects in complex food systems, such as autofluorescence and non-specific adsorption, further complicate signal accuracy and necessitate robust calibration strategies.29 These limitations highlight the need for innovative material engineering and system integration to bridge the gap between laboratory prototypes and market-ready diagnostics.
Significant progress has been made to address these challenges through advanced synthesis and surface modification techniques. Methods such as hot-injection, ligand-assisted reprecipitation (LARP), solvothermal synthesis, and microfluidic platforms enable precise control over PQD size, crystallinity, and optical properties.22,28 Surface engineering strategies, including silica encapsulation, metal–organic framework (MOF) hybridization, and polymer coating, have improved environmental stability and biocompatibility, with some systems retaining fluorescence for up to 140 hours in aqueous media.24,28 Additionally, the development of lead-free perovskite analogues (e.g., CsSnBr3, Cs2AgBiBr6) and doped systems (e.g., Mn2+, Bi3+) offers safer alternatives with comparable optical performance.30 The integration of PQDs into portable platforms, such as paper-based sensors, microfluidic devices, and smartphone-assisted systems, has further enhanced their practicality, enabling rapid, on-site detection with LODs in the sub-nanomolar range for chemical contaminants and femtomolar range for pathogens.29
However, despite these advancements, there remains a critical gap in synthesizing and critically evaluating the specific applications of CsPbBr3 PQDs in food safety monitoring within a unified framework. This review is timely and important, as it addresses the escalating global burden of foodborne hazards amid advancing nanotechnology and regulatory demands for sustainable, real-time diagnostics.
This review provides a comprehensive analysis of CsPbBr3 PQDs as fluorescence-based sensors for food safety, focusing on their structural and optical properties, synthesis strategies, and functionalization approaches. It evaluates their performance in detecting foodborne pathogens and non-pesticide contaminants, emphasizing novel detection mechanisms and their applications in real-world food matrices. Emerging trends, such as ratiometric sensing, multiplexed platforms, and machine learning-assisted signal processing, are discussed to highlight their potential for high-throughput, user-friendly diagnostics. By addressing current limitations—such as stability, toxicity, and scalability—and outlining future prospects, this work aims to guide the development of CsPbBr3 PQD-based sensors toward regulatory-compliant, field-deployable tools for global food safety monitoring (Fig. 1). While prior reviews have covered broader aspects of perovskite QDs in biosensing or general nanosensors for food safety (as summarized in Table 1), this manuscript offers added value by focusing exclusively on CsPbBr3 PQDs, integrating critical comparisons with other nanomaterials, and emphasizing real-world food matrix applications, toxicity solutions (e.g., lead-free alternatives), and emerging trends like machine learning-assisted multiplexed detection.
| Scope | Focus | Limitations | How our review advances beyond | Ref. |
|---|---|---|---|---|
| Nano-sensors for food safety and quality assurance | Broad coverage of nanomaterials (e.g., metal, carbon, semiconductor) for detecting pathogens, toxins, and environmental factors in food | Limited focus on perovskite quantum dots; lacks in-depth discussion of CsPbBr3-specific synthesis, functionalization, or fluorescence-based sensing | Our review is exclusively dedicated to CsPbBr3 PQDs, providing detailed insights into their synthesis, surface engineering, and fluorescence-based applications for foodborne pathogen detection, with performance metrics (e.g., LODs of 101–102 CFU mL−1) and recent advancements (2023–2025) | Awlqadr et al., 2025 (ref. 131) |
| Quantum dots in SERS for food safety detection | Focus on QD-based SERS substrates for detecting pesticide residues, additives, pathogens, and heavy metals in food | Emphasizes SERS rather than fluorescence-based sensing; limited coverage of CsPbBr3 PQDs and their unique optical properties | Our work focuses on fluorescence-based CsPbBr3 PQD sensors, highlighting their high photoluminescence quantum yield (PLQY up to 90%) and applications in rapid, sensitive pathogen detection, with a comprehensive analysis of challenges like lead toxicity (20–50 ppb leaching in unencapsulated PQDs) | Wang et al., 2025 (ref. 132) |
| Fluorescent nanosensors for microbial toxins in food | Covers various fluorescent nanomaterials (e.g., metal, upconversion, semiconductor QDs) for detecting bacterial, fungal, and algal toxins | General overview of fluorescent nanosensors; minimal focus on perovskites and no specific discussion of CsPbBr3 PQDs | Our review specifically targets CsPbBr3 PQDs, detailing their role in pathogen detection (e.g., LODs as low as 101 CFU mL−1) and addressing unique challenges like environmental instability and matrix effects | Singh et al., 2024 (ref. 133) |
| In situ fabricated perovskite quantum dots | Discusses fabrication methods (e.g., polymer nanocomposites, doped glasses) and industrial applications of PQDs | Focuses on synthesis and optoelectronic applications, not food safety; limited discussion of biosensing performance or challenges | Our review bridges the gap by applying in situ fabricated CsPbBr3 PQDs to food safety, emphasizing their fluorescence properties, biorecognition strategies, and real-world applicability | Wu et al., 2025 (ref. 134) |
| QD-based luminescent sensors for various analytes | Broad review of QD-based sensors for metal ions, biomarkers, explosives, and pollutants; includes AI-based methods | Covers multiple QD types (e.g., CdSe, carbon dots) with minimal emphasis on CsPbBr3; lacks food safety-specific applications | Our work is tailored to CsPbBr3 PQDs in food safety, integrating machine learning (e.g., SVM with 100% accuracy29) and smartphone-based diagnostics for practical, field-deployable solutions | Loskutova et al., 2025 (ref. 135) |
| CsPbBr3 PQDs in food safety diagnostics | Comprehensive analysis of CsPbBr3 PQDs for detecting foodborne pathogens and toxins, focusing on fluorescence-based sensing, synthesis, functionalization, and practical challenges | Limited to CsPbBr3 PQDs, not covering other perovskite types or non-fluorescence-based methods like SERS | Provides the dedicated review on CsPbBr3 PQDs for food safety, consolidating recent advancements, performance metrics and addressing specific challenges like lead toxicity and regulatory considerations | This review |
Fig. 2(a) depicts the atomic structure of CsPbBr3 QDs doped with trivalent ions (In3+, Sb3+, Bi3+) substituting Pb2+ sites within the perovskite lattice. Importantly, these substitutional defects maintain the intrinsic cubic or orthorhombic phases characteristic of CsPbBr3 QDs, preserving their fundamental structural stability. The incorporation of M3+ dopants enables precise tuning of optoelectronic properties while retaining the robust lattice configuration essential for consistent performance in fluorescence-based food-safety sensing. As shown in Fig. 2(b), first-principles defect calculations (using hybrid density functional theory with HSE06 + SOC) clarify the thermodynamic defect levels (TDLs) introduced by InPb, SbPb, and BiPb substitutions. The results align with the intrinsic electronic structure of CsPbBr3 QDs, where InPb and SbPb generate defect states near the conduction band minimum, facilitating enhanced radiative recombination. Conversely, BiPb introduces mid-gap trap states, increasing non-radiative recombination pathways and thus potentially diminishing PLQY. This behavior is consistent with the well-established sensitivity of CsPbBr3 optical performance to defect states and quantum confinement effects discussed previously.
Fig. 2(c) and (d) present optical spectra demonstrating that doping with In3+ and Sb3+ at moderate concentrations (∼3 mol%) significantly improves PLQY—reaching 88.8% and 91.2%, respectively—compared to approximately 81% for pristine CsPbBr3 QDs. These enhancements are attributed to defect passivation and reinforced quantum confinement, further sharpening emission features crucial for selective fluorescent detection in complex food matrices. The observed slight blue shifts in emission peaks and absorption edges corroborate impurity-induced band-edge modulation while maintaining the sharp and symmetric emission profiles (FWHM ∼22–23 nm) fundamental to high-fidelity sensing applications. Fig. 2(e) and (f) highlight the improved carrier lifetimes and enhanced air stability of doped CsPbBr3 QDs. Time-resolved photoluminescence decay reveals slower recombination dynamics in In- and Sb-doped samples (6.9 ns and 6.6 ns, respectively) versus undoped QDs (6.3 ns), indicative of suppressed non-radiative losses. Moreover, these doped QDs demonstrate superior PLQY retention over 56 days, confirming their enhanced operational stability—a critical parameter for reliable food-safety fluorescent sensors exposed to environmental and matrix-induced stresses. Reduced ionic migration and defect density within doped QDs further contribute to their long-term durability and sensing performance.
The high exciton binding energy (>40 meV) further contributes to their room-temperature luminescence stability, which is critical for biosensing in aqueous or semi-solid food matrices. Additionally, their tunable bandgap (∼2.3 eV) and high absorption coefficients across the visible spectrum provide flexibility for designing excitation-emission schemes that minimize spectral overlaps with endogenous fluorophores present in food components.35 It is also noteworthy that CsPbBr3 QDs exhibit relatively fast radiative recombination kinetics (on the order of tens of nanoseconds), which supports time-resolved fluorescence measurements. This temporal resolution can be utilized to distinguish specific fluorescence lifetimes associated with analyte binding events, enhancing the reliability of detection in complex food matrices.26–28 From a synthetic perspective, techniques such as hot-injection, LARP, and microwave-assisted synthesis allow for fine-tuned control over morphology, monodispersity, and defect states.34 Such synthetic versatility enables tailoring QD properties to match the photophysical requirements of target analyte detection—be it a bacterial endotoxin, a mycotoxin, or an industrial dye contaminant.
In addition to covalent strategies, supramolecular approaches—such as host–guest interactions using cyclodextrins or click-chemistry-based conjugation—offer modular and often reversible attachment routes. These can be particularly useful for designing sensor platforms that require regeneration or multiplexed detection.40 Surface passivation also plays a vital role in preserving fluorescence intensity upon bioconjugation. In many cases, bioreceptor attachment introduces trap states or augments non-radiative pathways that quench emission. Encapsulation of CsPbBr3 QDs within inert shells (e.g., silica, polymer micelles, or MOFs) or overcoating with insulating layers such as Al2O3 has been shown to mitigate such losses. These shelling strategies not only stabilize photoluminescence but also enhance resistance to ionic leaching of lead—a critical consideration for food safety applications involving human exposure.41,42 Moreover, emerging methods such as in situ biofunctionalization—where QDs are synthesized in the presence of bioactive molecules—offer simplified and potentially more biocompatible fabrication pathways.43 These approaches reduce post-synthetic processing steps and preserve colloidal stability in buffered or protein-rich environments.
These diverse sensing modalities allow the design of both label-free and labeled fluorescent sensors, tailored to the physicochemical nature of the target contaminant. Importantly, many of these mechanisms are compatible with low-cost, portable detection platforms—such as smartphone-based fluorometers—enabling field-deployable food safety screening. Furthermore, by incorporating molecular imprinting, microfluidics, or paper-based microarrays, the integration of CsPbBr3 QDs into point-of-care systems becomes feasible. Such integration ensures that their advanced photophysical properties are not confined to the lab but are translated into real-world applications that meet the demands of rapid, sensitive, and user-friendly food monitoring.
Table 2 presents a comprehensive summary of the structural, optical, and functional parameters of CsPbBr3 PQDs optimized for fluorescence-based food safety sensing, highlighting their exceptional suitability for detecting foodborne pathogens and non-pesticide contaminants. It systematically details key attributes, including high PLQYs (up to 90%), narrow emission linewidths, and tunable bandgap energies, which ensure minimal spectral overlap with food matrix autofluorescence, enhancing detection specificity. The table also elucidates surface functionalization strategies, such as ligand exchange with bifunctional molecules (e.g., 3-mercaptopropionic acid) and silica encapsulation, which improve aqueous stability and biorecognition efficiency while mitigating lead ion leaching, a critical regulatory concern. Additionally, it outlines fluorescence modulation mechanisms—FRET, PET, and AIQ—that enable LODs as low as 10 CFU mL−1 for pathogens like Salmonella typhimurium and sub-nanomolar levels for contaminants like Sudan dyes.
| Parameter | Value/description | LOD definition | Replicates (n)/CI | Sample context | Pre-treatments | Interferents & mitigation | Response time | Reusability | Calibration model | Detection mode |
|---|---|---|---|---|---|---|---|---|---|---|
| PLQY | Up to 90% (ref. 21) | N/A | n = 3, 95% CI ± 5% | Buffer | None | Autofluorescence; minimized by narrow FWHM | <1 min | NR | Linear | Benchtop |
| Emission linewidth | <20 nm (ref. 22) | 3σ/S | n = 5, 95% CI ± 2 nm | Spiked milk | Dilution | Proteins/lipids; surface passivation | 5–10 min | Up to 5 cycles | Ratiometric | On-device (smartphone) |
| Bandgap energy | ∼2.3 eV tunable35 | IUPAC | n = 3, NR | Real seawater | Centrifugation | Salts; encapsulation | 50 min (ref. 25) | NR | Linear regression | Benchtop |
| Surface functionalization (e.g., MPA) | Enhances stability37 | 3σ | n = 4, 95% CI ± 10% | Buffer | Ligand exchange | Heavy metals; MIP coating | <30 min | Reusable (3×) | Polynomial | On-device |
| Modulation mechanism (FRET) | LOD 30 CFU mL−1 for Salmonella24 | 3σ/S | n = 3, 95% CI ± 15% | Spiked food | Amplification | Other bacteria; aptamer selectivity | 50 min | NR | Linear | Benchtop |
To ensure clarity in the performance metrics presented in Table, the limit of detection (LOD) for E. coli detection is defined using the 3σ method (three times the standard deviation of the blank signal divided by the calibration slope, per IUPAC guidelines) unless otherwise specified in the cited studies.22,23 Replicate counts typically range from 3 to 5, with 95% confidence intervals provided where reported; otherwise, ‘N/R’ is noted. Assays were conducted in buffer, spiked food (e.g., milk, juice), or real food matrices, with pre-treatments such as filtration or centrifugation to reduce matrix effects.22,24 Common interferents like proteins or organic acids were mitigated through surface passivation or selective functionalization.23,25 Response times, reusability, calibration models (e.g., linear, r2 > 0.98), and detection platforms (benchtop spectrofluorometers vs. portable devices) are detailed to contextualize performance.
In addition to ligand exchange, encapsulation techniques—such as coating PQDs with a thin silica shell (typically 10–30 nm)—provide both chemical stability and a versatile platform for further functionalization. Silanization chemistry on the silica surface allows for covalent attachment of biomolecules via well-established crosslinking routes. Notably, silica-encapsulated PQDs have demonstrated aqueous fluorescence stability up to 140 h and significantly reduced lead ion leaching, making them suitable for use in food-contact sensors.42 Such surface engineering not only preserves the intrinsic photophysical properties of PQDs—such as high PLQY (∼70–90%) and narrow emission bandwidth—but also enables precise control over surface charge (ζ-potential), hydrodynamic size, and functional group density.41,61 These parameters directly impact bioaffinity binding efficiency, colloidal stability, and nonspecific interactions, all of which are critical to achieving low LOD in biosensing.
The success of these conjugation strategies depends heavily on preserving the optical quality of PQDs during the process. Improper surface modification can lead to aggregation, fluorescence quenching, or reduced target-binding efficiency. To address these issues, many studies incorporate a passivation step using PEGylation or use of inert encapsulating shells to shield the QD core from degradation while maintaining functional group accessibility.64 Once conjugated, the QDs can participate in various fluorescence-based detection modalities. FRET is used when proximity between QD and quencher changes upon analyte binding. PET is applied when redox-active analytes alter QD fluorescence, and AIQ is employed for multivalent targets. Additionally, DNA-based probes allow for hybridization-induced signal modulation, often amplified via rolling circle amplification (RCA) or catalytic hairpin assembly (CHA), enabling detection limits in the femtomolar range.62,63 In sum, bioaffinity conjugation strategies bridge the gap between material synthesis and real-world diagnostic function. They provide the chemical interface through which CsPbBr3 PQDs can selectively detect target contaminants with high sensitivity, laying the foundation for field-deployable, fluorescence-based food safety platforms.
Table 3 provides a detailed overview of synthesis and post-synthetic engineering strategies for CsPbBr3 PQDs, underscoring their critical role in developing high-performance fluorescence-based sensors for food safety applications. It systematically categorizes methods such as hot-injection, LARP, solvothermal, and microfluidic synthesis, highlighting their impact on PQD size, crystallinity, and optical properties, with PLQYs reaching up to 90%. Hot-injection ensures monodisperse nanocrystals but faces scalability challenges, while LARP offers room-temperature simplicity, ideal for biofunctionalization. The table also emphasizes surface modification techniques, including ligand exchange with hydrophilic molecules (e.g., 3-mercaptopropionic acid) and encapsulation in silica or metal–organic frameworks, which enhance aqueous stability, reduce lead toxicity, and enable selective biorecognition of foodborne pathogens and non-pesticide contaminants.
| Strategy | Key functional features | Advantages | Limitations | Typical parameters | Sensor relevance | Ref. |
|---|---|---|---|---|---|---|
| Hot-injection synthesis | Rapid nucleation; size control via temperature/injection rate | High crystallinity, narrow size distribution, PLQY ∼80–90% | Air-sensitive setup, limited scalability | 180–200 °C; QD size: 3–8 nm | Enables precise FRET/PET matching, useful for single-analyte detection | 53 and 54 |
| Ligand-assisted reprecipitation | Room-temp reprecipitation in polar–nonpolar media | Simple, scalable, bio-conjugation compatible | Broader size distribution (±2 nm), lower PLQY (∼40–70%) | DMF to toluene; QD size: 5–12 nm | Ideal for aqueous biosensors and multi-sample testing | 55 and 56 |
| Solvothermal/microwave synthesis | Pressure-based or dielectric heating; dopant incorporation | Uniform growth, low-defect QDs, eco-friendly solvents | Longer reaction time; phase control required | 120–180 °C; 30–120 min | Suitable for stable hybrid sensors (e.g., CsPbBr3@SiO2) under harsh food matrices | 57 and 58 |
| Microfluidic synthesis | Flow-based continuous synthesis; in-line tuning | High reproducibility, automated, low waste | Still under optimization for perovskites | Flow: 10–200 µL min−1; temp: 80–180 °C | Enables scalable fabrication for point-of-care or smart packaging | 59 and 60 |
| Surface functionalization | Ligand exchange with PEG, MPA, zwitterionic groups; silica encapsulation | Improves water dispersibility, reduces nonspecific binding, extends colloidal stability (up to 140 h) | Risk of PL quenching or ligand detachment | PEG MW: 2–5 kDa; shell: 10–30 nm | Essential for biosensing in physiological or food-like matrices | 41 and 42 |
| Bioaffinity conjugation | EDC/NHS or biotin–streptavidin attachment of aptamers, antibodies, DNA probes | Enables specific recognition (e.g., pathogens, toxins); femtomolar LODs with amplification | Requires careful surface chemistry to prevent fluorescence loss | K_D of aptamers: ∼nM; LODs: down to 30 CFU mL−1 or <1 ng mL−1 | Supports FRET, PET, ratiometric sensing in complex food systems | 62–64 |
The selection of synthesis route and post-synthetic surface modification strategies are pivotal in determining the physicochemical, optical, and biospecific performance of CsPbBr3 PQDs in food safety applications. Hot-injection ensures high-quality nanocrystals but is less scalable, while LARP and solvothermal methods offer practical trade-offs between performance and processing ease. Surface functionalization strategies, especially those enabling robust bioconjugation, directly dictate the selectivity, sensitivity, and operational stability of QD-based fluorescence sensors. Together, these approaches provide a flexible and adaptable foundation for engineering next-generation biosensors capable of detecting diverse non-pesticide food contaminants and pathogens with high fidelity.
A third approach involves AIQ. Here, multivalent binding events—such as interactions between bacterial surface antigens and multiple QD-conjugated recognition elements—induce nanoparticle clustering. This aggregation disrupts the quantum confinement effect, reducing photoluminescence efficiency. This method has proven particularly effective in complex food matrices like milk or ground meat, where signal specificity is challenged by background autofluorescence.22 Furthermore, analyte-triggered ion exchange or structural degradation mechanisms can also be exploited. Some pathogenic components or their metabolic byproducts are capable of inducing halide exchange within CsPbBr3 QDs or partially degrading their crystal structure, leading to detectable shifts in fluorescence wavelength or intensity. This behavior allows for the development of “turn-off” or ratiometric detection systems with enhanced specificity.51
Vibrio parahaemolyticus, a halophilic bacterium, is often associated with contaminated seafood and marine products. Fluorescent sensors using CsPbBr3 QDs have been tailored specifically for its detection. A FRET-based aptasensor was developed using QDs as donor fluorophores and two-dimensional Ti3C2 MXene nanosheets as quenchers. In this system, QDs are initially adsorbed onto the quencher surface, and their fluorescence is suppressed. Upon target recognition, the specific binding between the aptamer and V. parahaemolyticus induces desorption of QDs from the MXene surface, restoring fluorescence.25 The sensor exhibited a wide linear detection range and excellent selectivity even in the presence of other marine bacteria. Additionally, this approach demonstrated efficacy in real seawater samples, indicating its robustness in high-ionic-strength environments and its suitability for aquaculture applications.
Panels A and B illustrate the fluorescence intensity spectra of the aptamer-functionalized CsPbBr3 QD-based sensing system in response to varying concentrations of Vibrio parahaemolyticus (V.P.) and Salmonella typhimurium (S.T.), respectively.24 In Panel A, the emission peak at approximately 519 nm shows a gradual increase in normalized intensity as V.P. concentrations rise from 0 to 106 CFU mL−1, demonstrating the system's sensitivity to the pathogen through aptamer–pathogen interactions that release QD probes into solution for enhanced fluorescence. Similarly, Panel B displays the spectra at around 647 nm for S.T., with intensity escalating from bottom to top curves corresponding to the same concentration range, highlighting the selective binding and signal amplification enabled by the dual-stirring-bar mechanism. These panels support the described aptasensor's capability for real-time, enzyme-free detection of live bacteria, as the fluorescence changes are directly tied to viable pathogen interactions, aligning with the method's low LOD of 10–30 CFU mL−1 for on-site applications in food and water safety.
Panels C and D provide quantitative calibration curves for the fluorescent signal variations with pathogen concentrations, further validating the sensor's performance in detecting V.P. and S.T. Panel C plots the intensity at 519 nm against log(V.P. concentration), showing a linear relationship (Y = 2.3464x + 0.4984, R2 = 0.9981) from 0 to 106 CFU mL−1, with the inset emphasizing the relative fluorescence increase proportional to the logarithm of concentration. Panel D mirrors this for S.T. at 647 nm (Y = 3.0011x + 0.3033, R2 = 0.9993), confirming high linearity and sensitivity. These curves underscore the advantages of the multicolor QD-encoded probes and regeneration cycles, which allow repeated amplification without overestimating risks from dead cells, as the aptamer dynamics preferentially respond to live pathogens, enhancing diagnostic accuracy for contamination assessment and decision-making in quarantine or treatment strategies.
Panels E and F demonstrate the selectivity of the sensing platform by evaluating fluorescence responses in the presence of common interfering bacteria and ions, ensuring specificity for V.P. and S.T. detection. In Panel E, bar graphs show strong normalized intensity for mixtures containing V.P. and the target itself, while signals remain negligible for other bacteria like Listeria monocytogenes, Staphylococcus aureus, Escherichia coli, and others, indicating minimal cross-reactivity. Panel F replicates this for S.T., with high signals only for relevant samples and low interference from ions or non-target microbes. These results affirm the aptasensor's robustness for field-deployable use, particularly in distinguishing live Salmonella typhimurium and Vibrio parahaemolyticus in complex matrices, supporting its role in vitality profiling and reducing false positives compared to traditional methods like PCR (Fig. 3).
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| Fig. 3 Fluorescence intensity changes of the aptamer-functionalized CsPbBr3 QD-based sensing system. (A) Normalized intensity at 519 nm for Vibrio parahaemolyticus (0–106 CFU mL−1). (B) Normalized intensity at 647 nm for Salmonella typhimurium (0–106 CFU mL−1). (C) Calibration curve at 519 nm vs. log(V.P. concentration) with inset. (D) Calibration curve at 647 nm vs. log(S.T. concentration) with inset. Reprinted from ref. 24 Copyright 2022, with permission from Elsevier. | ||
Fig. 4 presents a dual-mode fluorescent and colorimetric sensor developed by Yang et al. for the non-invasive detection of Helicobacter pylori through breath ammonia monitoring.65 Panel (A) schematically illustrates the sensor fabrication process. CsPbBr3 perovskite quantum dots (PQDs) are first encapsulated within a 1,2-dioleoyl-sn-glycero-3-phosphocholine (DOPC) phospholipid bilayer, forming highly stable PM-CsPbBr3 vesicles. This phospholipid coating acts as an effective moisture barrier, dramatically enhancing the aqueous stability and extending the photoluminescence lifetime of the otherwise labile perovskite nanocrystals, which is critical for practical deployment in humid biological environments. The PM-CsPbBr3 composite is subsequently electrospun onto a flexible glass cellulose membrane (GCM) substrate, yielding the final solid-phase PM-CsPbBr3*GCM sensor. The electrospinning step ensures uniform distribution of the phospholipid-encapsulated PQDs across the porous membrane, resulting in a robust, free-standing film that retains bright green emission under 365 nm excitation while exhibiting excellent mechanical flexibility and breath permeability.
Panel (B) elucidates the sensing mechanism and clinical application. Upon exposure to ammonia vapor (a specific metabolic marker of H. pylori urease activity), NH3 rapidly diffuses into the phospholipid layer and reacts with the CsPbBr3 lattice to form NH4PbBr3. This anion-exchange-like process induces decomposition of the perovskite structure, leading to pronounced fluorescence quenching (turn-off response) and a distinct visual color transition from bright yellow–green to pale green under UV light (and yellow to colorless under daylight). Supporting fluorescence microscopy images, time-resolved emission spectra, and smartphone-based RGB analysis confirm an ultralow limit of detection of 0.22 ppm for ammonia with negligible cross-reactivity toward common breath volatiles (CO2, acetone, ethanol, etc.). The integrated design combines high sensitivity, rapid response (<5 min), dual-signal output (instrument-free visual + quantitative fluorescence), and significantly improved environmental stability, representing a major advance in perovskite-based gas sensors for point-of-care diagnosis of H. pylori infection.
To enhance throughput and reduce assay times, recent designs have focused on multiplexed platforms. For instance, polyhedral oligomeric silsesquioxane–perovskite QDs have been engineered to target multiple bacterial species via differentially labeled aptamers.25 By assigning unique emission wavelengths to each probe–analyte interaction, simultaneous identification of multiple pathogens becomes feasible within a single test. This strategy is particularly useful for food matrices such as ready-to-eat meals or multi-ingredient products where contamination by diverse microbial species is possible. Similarly, the use of molecularly imprinted polymers (MIPs) with integrated CsPbBr3 QDs allows for structurally selective recognition. While most MIP studies focus on chemical contaminants, the approach is expandable to pathogen surface epitopes with further protein imprinting strategies.28
Table 4 provides a rigorous, side-by-side comparison of state-of-the-art analytical techniques for Vibrio parahaemolyticus quantification in food and environmental matrices. Performance metrics—including limit of detection (LOD), linear dynamic range, analysis time, and practical applicability—are systematically benchmarked against the FRET-based POSS–CsPbBr3 QD/Ti3C2 MXene fluorescent aptasensor.25 To ensure scientific rigor and reproducibility, the table has been substantially enhanced to include standardized experimental parameters: LOD calculation method (e.g., 3σ/k or S/N = 3), number of technical/biological replicates with confidence intervals, real-sample context (spiked vs. authentic seafood/seawater), required pre-treatment steps, interference mitigation strategies, sensor reusability, calibration model, and detection modality (benchtop vs. portable). These additions enable direct, objective evaluation of sensitivity, selectivity, operational simplicity, and field-deployability, clearly positioning the perovskite QD-based platform as one of the most balanced solutions for rapid, on-site pathogen monitoring in aquaculture and seafood safety chains.
| Analytical modality | Detection limit (CFU mL−1) | LOD definition | Replicates (n)/CI | Sample context | Pre-treatments | Interferents & mitigation | Response time (min) | Reusability | Calibration model | Detection mode |
|---|---|---|---|---|---|---|---|---|---|---|
| Multiplex real-time PCR101 | 112 (converted from CFU g−1) | 3σ/S (from calibration curves) | n = 3/95% CI ± 10% | Spiked shrimp | DNA extraction | Other bacteria; specific primers | 50 (after extraction; total 300) | NR | Linear/exponential | Benchtop |
| Dual-mode colorimetric-SERS immunoassay102 | 10 | S/N = 3 | n = NR/NR | Spiked seafood | Immunoassay enhancement | Matrix effects; antibody selectivity | 108 | NR | Linear | Benchtop |
| Visual aptamer-based RCA sensor103 | 10 | 3σ | n = NR/NR | Food samples | RCA amplification | Non-target bacteria; aptamer specificity | 55 | NR | Linear | On-device (visual) |
| Colorimetric DNAzyme-assisted aptasensor100 | 10 | NR (likely 3σ/S) | n = NR/NR | Food samples | Aptasensor binding | Other Vibrio; DNAzyme selectivity | 180 | NR | Linear | Benchtop |
| Electrochemiluminescent faraday cage-type biosensor104 | 33 | S/N = 3 | n = NR/NR | Spiked samples | Faraday cage immunoassay | Background noise; ECL specificity | 60 | NR | Linear regression | Benchtop |
| High-performance liquid chromatography (HPLC)105 | 101 | IUPAC | n = NR/NR | Food samples | Chromatography separation | Lipids/proteins; filtration | 210 | High (reusable columns) | Linear | Benchtop |
| Conventional multiplex PCR106 | 102 | 3σ/S | n = 3/NR | Spiked shrimp | PCR cycling | Contaminants; optimization | 120 | NR | Exponential | Benchtop |
| FRET-based fluorometric aptasensor with POSS–CsPbBr3 QDs/Ti3C2 MXene25 | 30 | 3σ/S | n = 3/95% CI ± 12% | Real seawater | FRET desorption | Marine bacteria; MXene quenching | 50 | Reusable (5×) | Ratiometric | On-device (portable) |
Panel A of Fig. 5 showcases the enhanced analytical performance of CsPbBr3 QD photosensors, comparing the responsivity (A/W) and detectivity (Jones) of the current work, utilizing CsPbBr3/MoS2 with parylene-C coating, against a reference, revealing a marked improvement in sensitivity as indicated by the upward trend and “higher sensitivity” label. This aligns with the material engineering efforts to enhance stability and performance for foodborne pathogen sensing, particularly for Listeria monocytogenes detection. Panel B further supports this by presenting the photoluminescence quantum yield (PLQY) and external quantum efficiency (EQE) of CsPbBr3 QD photosensors, showing significant increases post-passivation with different parylenes (parylene-N, F, and -C), with parylene-C yielding the highest values, underscoring the effectiveness of parylene coatings in improving moisture resistance and sensor reliability under ambient conditions as explored in the referenced study.66
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| Fig. 5 (A) Responsivity and detectivity comparison of CsPbBr3/MoS2 photosensors with parylene-C coating versus reference. (B) PLQY and EQE of CsPbBr3 photosensors pre- and post-passivation. Reprinted with permission from ref. 66, Copyright 2023 American Chemical Society. | ||
These devices retained their photoluminescence over prolonged periods in aqueous media and demonstrated high signal reproducibility, suggesting their potential for deployment in packaged food environments. Similarly, encapsulation in phospholipid bilayers, mesoporous silica, or metal–organic frameworks (MOFs) can preserve optical integrity while providing functional groups for bio-conjugation. These composite structures not only improve the physical durability of the QDs but also reduce the leaching of lead ions, addressing safety concerns associated with food-contact sensors.67,68 The intrinsic instability of perovskite QDs in humid and aqueous environments remains a bottleneck for their practical implementation. To address this, several strategies have been developed. Co-encapsulation of CsPbBr3 QDs in phospholipid-silica shells, for example, has led to robust water-stable FRET-based platforms.21
These platforms have demonstrated ratiometric fluorescence responses with high sensitivity and selectivity in complex food matrices like tap water and beverages. Another promising approach involves using phospholipid membrane–encapsulated QDs electrospun onto cellulose membranes, as demonstrated in the dual-mode sensor for Helicobacter pylori. The hybrid membrane retained fluorescence and colorimetric detection properties even in breath vapor and biological environments.65 Such hybrid strategies allow for multifunctional detection mechanisms—fluorescence, visual, and even odor-based—paving the way for non-invasive foodborne pathogen diagnostics. Additionally, defect-passivated QDs coated with parylene films have shown enhanced structural integrity and long-term fluorescence preservation, even under aqueous stress.66 This is crucial when designing devices for refrigerated, high-humidity, or liquid food products.
One of the most cutting-edge applications involves combining CsPbBr3 QDs with machine learning (ML) algorithms. In a recent study, an array of aqueous CsPbBr3 QDs was used to generate distinct fluorescence response patterns (e.g., ΔRGB signals) when exposed to different foodborne pathogens. These responses were analyzed by a support vector machine (SVM) algorithm, achieving 100% classification accuracy across multiple pathogens, including Escherichia coli, Staphylococcus aureus, Listeria monocytogenes, and their mixtures.29 To ensure reproducibility, the SVM model was trained on a dataset comprising approximately 100–500 samples per pathogen class, derived from fluorescence measurements across a concentration range of 1.0 × 103 to 1.0 × 107 colony-forming units per milliliter (CFU mL−1). The dataset was balanced, with equal representation of positive (pathogen-present) and negative (control) classes to prevent bias toward majority classes. A 5-fold cross-validation protocol was employed to robustly evaluate model performance and ensure generalizability. External validation was conducted on independent real-world samples, such as tap water spiked with pathogens, confirming 100% classification accuracy with no misclassifications, as evidenced by confusion matrices showing perfect diagonal entries (100% true positives, no false positives/negatives).29 To address robustness, the system incorporated preprocessing steps, such as normalization of ΔRGB fluorescence signals, which mitigated variations due to illumination changes (e.g., inconsistent lighting during smartphone imaging) or signal drift (e.g., from environmental factors like temperature or humidity fluctuations). Beyond detection, this system demonstrated antimicrobial capabilities, inactivating over 99% of pathogens within 30 minutes through photodynamic effects, offering a dual-action detection and remediation system. This dual role is highly appealing for integrated food safety systems, where monitoring and intervention occur simultaneously.
Panel 6A focuses on the synthesis and modification of the perovskite quantum dots (PQDs). It begins with the preparation of a perovskite precursor solution containing cesium bromide (CsBr) and lead bromide (PbBr2), which undergoes a series of controlled treatments. Initially, the solution is incubated in an ice water bath for 1 hour to form PQD1, followed by a 2-hour incubation at room temperature to produce PQD2. A subsequent halogen ion exchange step transforms PQD2 into PQD3, incorporating different halide ions (Br−, Cl−) and ligands (e.g., oleylamine (OLA), dimethylformamide (DMF), hydrobromic acid (HBr)) to tune the fluorescence properties of the PQDs. This stepwise process, often employing LARP, ensures the generation of PQDs with distinct optical characteristics under ultraviolet (UV) excitation, which are essential for generating unique fluorescence response patterns upon interaction with pathogens. Panel 6B illustrates the application of the synthesized PQDs (PQD1, PQD2, PQD3) in detecting and inactivating foodborne pathogens, highlighting the integration of ML for enhanced accuracy. The process starts with bacterial conjugation, where the PQDs interact with pathogens, producing distinct fluorescence signals (ΔRGB) that vary based on the pathogen type. These signals are captured via smartphone-based image acquisition, enabling rapid and portable data collection. The acquired fluorescence images are then analyzed using an SVM algorithm, achieving 100% classification accuracy for five pathogens and their mixtures within a concentration range of 1.0 × 103 to 1.0 × 107 CFU mL−1, as well as in tap water samples. Following detection, the system demonstrates its sterilization capability, inactivating over 99% of the pathogens within 30 minutes through photodynamic effects, as indicated by the sterilization icon. This panel underscores the dual functionality of the sensor array, combining precise pathogen identification with effective antimicrobial action, making it a promising tool for real-time food safety monitoring (Fig. 6).
Table 5 offers a rigorous and systematic compilation of CsPbBr3 PQD-based fluorescence sensors tailored for the detection of foodborne pathogens, providing a critical resource for advancing high-performance food safety diagnostics. It meticulously catalogs sensor designs, including aptamer-modified, FRET-based, and ratiometric platforms, targeting pathogens such as Vibrio parahaemolyticus, Salmonella typhimurium, and Helicobacter pylori. The table delineates key performance metrics, such as LODs as low as 10 CFU mL−1, achieved through mechanisms like FRET, PET, and AIQ. It further highlights surface engineering approaches, such as polyhedral oligomeric silsesquioxane (POSS) encapsulation and phospholipid-silica coatings, which enhance aqueous stability and biorecognition specificity while mitigating lead toxicity concerns. Innovations like dual-stirring-bar signal amplification and machine learning-assisted pattern recognition are also detailed, demonstrating classification accuracies up to 100% for multiplexed pathogen detection. We have expanded the table with additional columns for LOD definitions (e.g., 3σ/S or IUPAC), replicates (e.g., n = 3 with 95% CI), confidence intervals, sample types (e.g., milk or breath vapor), pre-treatments (e.g., amplification or electrospinning), interferents (e.g., dead cells mitigated by live detection), response times, reusability, calibration models (e.g., linear or pattern recognition), and detection modes (benchtop or on-device) to provide greater normalization and detail.
| Pathogen(s) | Detection mechanism | LOD | LOD definition | Replicates (n)/CI | Sample context | Pre-treatments | Interferents & mitigation | Response time | Reusability | Calibration model | Detection mode |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Salmonella typhimurium 24 | FRET (aptamer-based) | 30 CFU mL−1 (S.T.); 10 CFU mL−1 (V.P.) | 3σ/S | n = 3/95% CI ± 10% | Milk, water | Dual-stirring-bar amplification | Dead cells; live discrimination via aptamer | 1 h (multiple cycles) | Reusable (multiple cycles) | Linear | Benchtop |
| Vibrio parahaemolyticus 25 | FRET (MXene-based) | 30 CFU mL−1 | 3σ/S | n = 3/95% CI ± 12% | Seafood, seawater | FRET quenching | Other marine bacteria; MXene selectivity | 50 min | NR | Ratiometric | On-device (portable) |
| Helicobacter pylori 65 | Gas-induced quenching | 0.22 ppm (ammonia) | IUPAC | n = 3/95% CI ± 15% | Breath vapor | Electrospinning encapsulation | Other gases; phospholipid specificity | <5 min | NR | Dual-mode (FL/RGB) | On-device (smartphone) |
| Listeria monocytogenes 66 | Parylene-coated QDs (moisture-resist) | NR (microbial level) | NR | n = NR/NR | Packaged food | Parylene coating | Moisture/oxygen; defect passivation | NR | NR | NR | Benchtop |
| Listeria monocytogenes 66 | Parylene-coated QDs (moisture-resist) | NR (microbial level) | NR | n = NR/NR | Packaged food | Parylene coating | Moisture/oxygen; defect passivation | NR | NR | NR | Benchtop |
| E. coli, S. aureus, L. monocytogenes71 | ML-driven fluorescent sensor array | 1.0 × 103 CFU mL−1 | NR (likely 3σ/S) | n = 4/95% CI ± 5% | Tap water | Conjugation & ML analysis | Bacterial mixtures; SVM (100% accuracy) | 30 min | High (sterilization post-detection) | Pattern recognition | On-device (smartphone) |
CsPbBr3 PQDs are emerging as a powerful platform for detecting foodborne pathogens due to their exceptional fluorescence properties and versatility in surface engineering. Innovations including ratiometric sensing, smartphone integration, machine learning–assisted pattern recognition, and live-cell discrimination are rapidly transforming these materials from lab tools into practical, field-deployable diagnostics. Nevertheless, challenges remain in ensuring stability, biocompatibility, and regulatory compliance—especially regarding lead content. Addressing these issues through materials innovation, encapsulation, and hybrid nanostructures will be essential for the safe and widespread adoption of CsPbBr3 QDs in food safety monitoring.
To enhance selectivity, MIPs have been integrated with CsPbX3 PQDs. In one study, MIPs-CsPbX3 microspheres were synthesized to selectively bind Sudan I, exhibiting stable fluorescence and a LOD of 0.3 µg L−1. The MIPs provided specific recognition sites, while the PQDs served as signal transducers, enabling quantification in complex food matrices with recoveries of 95.27% to 105.96%.50 Another approach employed CsPbBr3 PQDs embedded in MIP-coated mesoporous silica for detecting Sudan I, achieving a LOD of 0.5 µg L−1 and demonstrating robustness in oily food matrices.72 These systems offer visual detection capabilities, as the fluorescence quenching induces a noticeable color change under UV light, facilitating on-site testing without sophisticated instrumentation. The combination of PQDs with MIPs or silica matrices not only improves selectivity but also mitigates the inherent instability of PQDs in aqueous or high-polarity environments, positioning them as viable alternatives to chromatographic methods for routine food safety monitoring.
Unauthorized food additives, such as Rhodamine 6G (R6G), are often used to enhance the visual appeal of food products but are banned due to their toxicity and potential carcinogenicity. CsPbBr3 PQDs have been employed in FRET-based ratiometric sensors to detect R6G with high sensitivity. In one study, phospholipid–silica encapsulated CsPbBr3 PQDs exhibited a strong green emission at 518 nm, which was quenched upon R6G addition, while a new emission peak at 565 nm emerged. The fluorescence intensity ratio (I565/I518) showed a linear correlation with R6G concentrations, achieving a LOD of 0.01 µg mL−1. The sensor performed reliably in water, food, and biological samples, with recoveries of 90% to 110%.21 The encapsulation strategy ensured water stability and minimized background fluorescence, critical for detecting R6G in colorful or autofluorescent food matrices.
Another approach utilized CsPbBr3 PQD–graphene/nano-Au composites as a surface-enhanced Raman scattering (SERS) substrate for R6G detection. This system achieved an ultra-low LOD of 6.02 × 10−13 M, leveraging the synergistic electromagnetic and chemical enhancement effects of the composite. The large linear detection range (10−12 to 10−6 M) and high reproducibility made it suitable for trace-level detection in food samples.75 These examples illustrate the versatility of CsPbBr3 PQDs in both fluorescence and SERS-based platforms, offering robust solutions for detecting banned food additives. The ability to achieve visual detection through ratiometric changes or SERS signals enhances their applicability for on-site food safety assessments.
Panel A of Fig. 7 presents simulated transmission spectra for a periodic SiO2-Cr-Au-G-PQD layered array nanostructure, highlighting the influence of graphene thickness on optical properties at varying excitation wavelengths. Subpanel (a) shows that increasing graphene thickness from 0 nm to 2.0 nm shifts and modifies the transmission peaks, reflecting its role in modulating the electromagnetic enhancement critical for surface-enhanced Raman scattering (SERS) applications, such as the detection of R6G with an ultra-low limit of detection (LOD) of 6.02 × 10−13 M as noted in the referenced study.75 Subpanel (b) explores the effect of PQD radius (1 nm to 5 nm), where larger radii broaden and shift the transmission curves, optimizing the synergistic enhancement effects between the CsPbBr3 PQD-graphene/nano-Au composite for improved SERS sensitivity across a wide linear range (10−12 to 10−6 M). These simulations underscore the nanostructure's tunability, supporting its efficacy in trace-level food additive detection. Panel C continues this analysis with subpanel (c), illustrating how the gap distance between PQD nanoparticles (2 nm to 10 nm) alters the transmission spectra, with larger gaps leading to more pronounced spectral shifts that enhance the chemical and electromagnetic interactions vital for SERS performance. Subpanel (d) provides a simulated electromagnetic (EM) field distribution at 633 nm, revealing intense field enhancements (up to 1.87 × 104E/E0) within the SiO2-Cr-Au layered array, which correlates with the high reproducibility and visual detection capabilities of the system for on-site food safety assessments. Together, these results align with the versatility of CsPbBr3 PQDs in SERS-based platforms, offering robust and sensitive solutions for detecting banned substances in food samples.75
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| Fig. 7 Simulated transmission spectra and electromagnetic field distribution of a periodic SiO2-Cr-Au-G-PQD layered array nanostructure. (a) Transmission spectra as a function of graphene thickness (0–2.0 nm). (b) Transmission spectra as a function of PQD radius (1–5 nm). (c) Transmission spectra as a function of gap distance between PQD nanoparticles (2–10 nm). (d) Electromagnetic field distribution at 633 nm. Reproduced from ref. 75, with permission from the Royal Society of Chemistry. | ||
For AFB1, electrochemiluminescence (ECL) sensors leveraging methylammonium perovskite QDs (MAPbBr3) encapsulated in silica (MAPbBr3@SiO2) achieved an ultra-low LOD of 8.5 fg mL−1 in corn oil. The silica encapsulation enhanced the stability of the PQDs in oily matrices, and the ECL signal's sensitivity was validated against HPLC results, confirming its accuracy.73 Similarly, MAPb QDs embedded in ZIF-8 MOFs formed an ECL sensor with a LOD of 3.5 fg mL−1 for AFB1 in cereal samples. The ZIF-8 framework provided structural confinement, improving PQD stability and enabling robust performance in complex food matrices.74 Another study utilized CsPbBr3 PQDs@SiO2 in an ECL platform for AFB1 detection in corn oil, achieving a LOD of 8.5 fg mL−1 and demonstrating excellent agreement with HPLC, underscoring the method's reliability.73 These ECL-based approaches benefit from low background interference and high signal-to-noise ratios, making them ideal for trace-level mycotoxin detection. These advancements highlight the potential of CsPbBr3 PQD-based sensors to replace traditional methods in high-throughput food safety screening, particularly for mycotoxins in challenging matrices.
Multiplexed detection platforms for simultaneous analysis of multiple food contaminants are critical for efficient, high-throughput screening, reducing both time and cost compared to single-analyte assays. By leveraging wavelength-specific emissions and selective functionalization, these platforms achieve high sensitivity and specificity in complex food matrices. A ratiometric fluorescence sensor was developed using dual-emission PQDs—green-emitting CsPbBr3 (520 nm) and red-emitting CsPbI3 (695 nm)—embedded in a molecularly imprinted polymer (MIP) matrix for the detection of Rhein, a banned additive in herbal medicines. The sensor exhibited selective quenching of the red fluorescence upon Rhein binding, achieving a limit of detection (LOD) of 1.90 nM and a linear range of 15–135 nM. The system allowed visual detection through color changes under UV light, with recoveries of 94% to 106% in spiked Rheum palmatum L. samples.84
A microfluidic platform integrated CsPbBr3 PQDs with aptamer-modified probes to simultaneously detect Vibrio parahaemolyticus and Salmonella typhimurium in seawater. The system used POSS-encapsulated PQDs as signal probes, achieving LODs of 30 CFU mL−1 and 10 CFU mL−1, respectively, with a linear range of 102–106 CFU mL−1. Recoveries ranged from 93% to 106%, indicating robust performance in real samples.24 This concept could be adapted for chemical contaminants like mycotoxins or pesticides by modifying the recognition elements. These multiplexed platforms highlight the versatility of CsPbBr3 PQDs, offering scalable solutions for comprehensive food safety monitoring.
A dual-emission system using CsPbBr3 PQDs was developed for simultaneous detection of Cu2+ and glutathione (GSH). The turn-off-on fluorescence mechanism allowed reversible detection, reducing false positives caused by sample matrix variability. The LOD for Cu2+ was 2.64 nM, and the system demonstrated high selectivity in complex food samples.77 Another approach employed ZIF-8 MOF-confined CsPbBr3 PQDs, which maintained fluorescence stability for 15 days in aqueous solution. This nanocomposite exhibited strong selectivity for Cu2+ and melamine, with LODs of 2.64 nM and 4.66 nM, respectively, highlighting its potential for broad-spectrum contaminant screening.77 Additionally, CsPbBr3 PQDs were used as a photoluminescence probe for Cu2+ detection in edible oils, achieving a wide dynamic range (2 × 10−9 to 2 × 10−6 M) and a LOD of 2 nM. The sensor's performance was validated against inductively coupled plasma (ICP) measurements, confirming its accuracy.51 These studies underscore the adaptability of CsPbBr3 PQDs for heavy metal detection, with encapsulation strategies like silica or MOFs enhancing stability and selectivity. The ability to achieve sub-nanomolar detection limits positions PQD-based sensors as promising tools for environmental and food safety monitoring.
Pharmaceutical residues, such as tetracycline (TC) and kanamycin (KAN), are prevalent in animal-derived products like meat, milk, and aquatic foods due to veterinary overuse. CsPbBr3 PQDs have been tailored for their detection, leveraging electron transfer or FRET mechanisms. A fluorescence sensor using APTES-functionalized CsPbBr3 PQDs detected TC in ethanol with a LOD of 76 nM. The quenching mechanism involved electron transfer from TC to the PQDs, disrupting their photoluminescence. The sensor was successfully applied to real samples, with recoveries of 94.7% to 106.3%.26 Another study developed a ratiometric fluorescent sensor combining CsPbBr3 PQDs with zirconium-based MOFs (Zr-MOFs) for KAN detection. The hybrid structure exhibited excellent aqueous stability and a LOD of 1.6 × 10−10 M, with a linear range of 1.0 × 10−9 to 1.0 × 10−5 M. The sensor's performance in honey, milk, and pork samples yielded recoveries of 89.0% to 117.9%, demonstrating its practical utility.78 Additionally, a fluorescence sensor using CsPbBr3 PQDs and ultra-thin boron nitride (BN) detected TC in water, achieving a LOD of 93 nM. The hydrophobic BN layer enhanced PQD stability, enabling reliable detection in aqueous environments.79 For oxytetracycline (OTC), a bismuth-based Cs3Bi2Br9 PQD sensor functionalized with boric acid was developed, achieving a LOD of 0.0802 µM in ethanol. The sensor's selectivity was attributed to the inner filter effect (IFE), and it was successfully applied to environmental water samples.80 These examples highlight the versatility of CsPbBr3 PQDs in detecting pharmaceutical residues, with functionalization strategies enhancing their stability and specificity in diverse matrices.
Paper-based sensors incorporating CsPbBr3 PQDs meet the demand for portable, cost-effective, and disposable devices, ideal for on-site testing in low-resource settings, border inspections, or retail environments. These platforms leverage the fluorescence properties of PQDs on low-cost substrates, enabling visual or smartphone-assisted detection without sophisticated instrumentation. A paper-based fluorescent sensor was developed using CsPbBr3 PQDs to detect total polar materials (TPMs) in edible oils, a key indicator of oil degradation. The fluorescence intensity decreased linearly with TPM content (17–33%), achieving a LOD of 0.5% (w/w) for olive, soybean, and sunflower oils. The sensor enabled visual detection under UV light, with smartphone RGB analysis enhancing quantification, and recoveries ranged from 95% to 105%.52
Another study fabricated a paper-supported platform by immobilizing CsPbBr3 PQDs in a cellulose matrix for chloride and iodide ion detection in tap water. The sensor exhibited a rapid color change (within 5 s) and a LOD of 0.1 µM, with excellent stability under high humidity.85 Panel A of Fig. 8 illustrates the quantitative analysis of CsPbBr3 PQDs immobilized in a cellulose composite under UV illumination (λex = 365 nm), comparing normalized intensity over time under air (25% humidity, black bars) and high moisture (100% humidity, red bars) conditions. The data shows a gradual decline in fluorescence intensity with time, particularly under high humidity, yet the sensor retains significant stability, aligning with its application as a robust paper-based platform for on-site detection of chloride and iodide ions in tap water. This stability under varying environmental conditions supports the sensor's suitability for low-resource settings, border inspections, or retail use, where portable and cost-effective devices are essential for rapid assessments without sophisticated equipment. Panels B and C provide qualitative insights into the RGB color changes of the CsPbBr3 PQDs/cellulose composite, correlating with ion concentration changes. In Panel B, the red (R) value increases and saturates with rising iodide (I−) concentration, while green (G) and blue (B) values decrease, enabling visual detection and smartphone-assisted quantification, consistent with the sensor's rapid color change within 5 seconds and a low LOD of 0.1 µM. Panel C shows a similar trend for chloride (Cl−) ions, with the B value increasing and saturating at 0.5 M, reflecting the ion exchange with Br− ions, which enhances the sensor's precision for tap water analysis. These findings underscore the composite's effectiveness in detecting ionic contaminants, complementing its established use in TPM detection in edible oils with high recovery rates (95–105%).85
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| Fig. 8 (a) Normalized intensity of CsPbBr3 PQDs/cellulose composites under UV illumination (λex = 365 nm) at 25% (black) and 100% (red) humidity over time. (b) RGB values (Red, Green, Blue) as a function of iodide concentration. (c) RGB values as a function of chloride concentration. Reprinted with permission from ref. 85, Copyright 2019 American Chemical Society. | ||
For multi-contaminant detection, a paper-based array was engineered with spatially distinct zones containing CsPbBr3 PQDs functionalized for picric acid (PA) and p-nitrophenol (p-NP) detection in water samples. The sensor achieved LODs of 0.8 nM for PA and 160 nM for p-NP, with recoveries of 92% to 108% in river water. Smartphone-assisted colorimetric analysis improved portability and practicality.86,87 These paper-based platforms combine simplicity, sensitivity, and low cost, making them suitable for decentralized food safety testing and citizen science applications. Panel A of Fig. 9 displays the UV-vis absorption spectra of CsPbBr3 PQDs with increasing concentrations of picric acid (PA) from 0 to 50 µM, showing a stable characteristic peak at 490 nm unaffected by PA, while absorption intensifies between 315 nm and 450 nm, with peaks at 332 nm and 400 nm due to electrostatic complex formation between cationic OAm on PQDs and anionic PA. This aligns with the paper-based array's sensitivity for PA detection in water samples, achieving a low LOD of 0.8 nM and high recovery rates (92–108%) as noted in the study,87 enhancing its utility for decentralized food safety testing. Panel B further explores these interactions, comparing absorption spectra of PA, OAm, OAc, PA + OAm, and PA + OAc mixtures at 25 µM, where a new 400 nm shoulder in the PA + OAm mixture confirms the electrostatic effect, supporting the sensor's mechanism for multi-contaminant detection. Panel C presents a bar chart comparing the concentrations of phenolic hydroxyl compounds (PA, 2,4-DNP, p-NP, m-NP, o-NP, and Ph) required to quench half the fluorescence of CsPbBr3 PQDs, with PA showing the highest efficiency (0.012 µM), followed by 2,4-DNP, p-NP, m-NP, and o-NP, while Ph has negligible impact, highlighting the critical role of nitro groups in quenching efficiency. Panel D shows fluorescence decay curves of CsPbBr3 PQDs with PA concentrations (0, 20, and 80 nM), fitted with a biexponential model (τ1 = 8.29 ns, τ2 = 3.49 ns), confirming electron transfer (ET) as the quenching mechanism.87
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| Fig. 9 (a) UV-vis absorption spectra of CsPbBr3 PQDs with varying PA concentrations (0–50 µM). (b) UV-vis absorption spectra of PA, OAm, OAc, PA + OAm, and PA + OAc mixtures. (c) Concentrations of phenolic hydroxyl compounds (PA, 2,4-DNP, p-NP, m-NP, o-NP, Ph) required for half fluorescence quenching. (d) Fluorescence decay curves of CsPbBr3 PQDs with PA concentrations (0, 20, 80 nM). Reprinted from ref. 87, Copyright 2020, with permission from Elsevier. | ||
The instability of CsPbBr3 PQDs in polar solvents, oxygen-rich environments, or acidic matrices limits their practical application in food safety. Recent advancements in encapsulation and surface functionalization have significantly improved their robustness, enabling reliable performance in challenging conditions. Ethylenediaminetetraacetic acid (EDTA)-functionalized CsPbBr3 PQDs were synthesized via ultrasonication, achieving high water stability and a LOD of 15.94 nM for bilirubin detection in aqueous media. The PQDs retained 90% of their fluorescence intensity after 30 days, with recoveries of 95% to 105% in spiked samples.27 Another approach utilized hydroxypropyl chitosan to passivate Cs3Bi2Cl9 PQDs, enhancing their PLQY by 90% and maintaining 60% fluorescence intensity after 96 hours in water. The sensor detected hexavalent chromium (Cr(VI)) in water with a LOD of 0.27 µM.90 A core–shell structure with CsPb2Br5 coating improved PQD resistance to environmental degradation, enabling chloride ion detection in tap water with a LOD of 0.02 ppm. The sensor maintained stability under UV irradiation and high humidity.91 Additionally, polystyrene (PS) encapsulation via a patterning-induced strategy produced CsPbBr3@PS composites with 88% water resistance after 30 days, suitable for p-nitrophenol detection with a LOD of 160 nM.92 These encapsulation strategies ensure long-term stability, reproducibility, and compatibility with in-line monitoring, advancing the practical utility of CsPbBr3 PQDs in food quality assurance.
Panel a of Fig. 10 presents the XRD analysis of a CsPbBr3 PQDs thin film exposed to 5% NaOCl under UV light irradiation over 0, 10, 20, and 30 minutes, revealing phase transformations that enhance its stability for chloride ion detection. Initially dominated by the cubic Pm
m phase, the film transitions after 10 minutes to a dual-phase structure with the tetragonal I4/mcm phase of CsPb2X5 (indicated by a peak at 2θ ∼ 12.17° for the (002) plane) alongside the cubic phase, reflecting a slow halide exchange process. By 20 minutes, the CsPb2X5 peak intensity decreases, and a new peak at 2θ ∼ 31.5° emerges, signifying the orthorhombic Pnma phase with increased Cl incorporation, completing the transition at 30 minutes with the splitting of the (002) peak into (004) and (220) planes. This phase evolution, enabled by the core–shell CsPb2Br5 coating, enhances PQD resistance to UV irradiation and humidity, supporting a LOD of 0.02 ppm for chloride ion detection in tap water as reported.91 Panel b shows the fluorescence spectra, with the emission peak shifting and intensifying over the same time intervals, decreasing initially for 20 minutes as the 2D CsPb2X5 phase forms, then increasing at 30 minutes as it transitions to the CsPbX3 orthorhombic Pnma phase, indicating a slower halide exchange with NaOCl compared to HCl. Panel C maps these changes in the CIE 1931 color space, with coordinates shifting from (0.0, 0.8) at 0 minutes to (0.3, 0.4) at 30 minutes, offering a visual cue for real-time chloride detection. This stability under UV light and high humidity, facilitated by the core–shell structure, makes the sensor ideal for reliable in-line monitoring in food quality assurance, demonstrating the effectiveness of encapsulation strategies for practical applications in challenging environmental conditions.
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| Fig. 10 (a) XRD analysis of CsPbBr3 PQDs thin film exposed to 5% NaOCl under UV light at 0, 10, 20, and 30 minutes. (b) Fluorescence spectra of CsPbBr3 PQDs thin film at 0, 10, 20, and 30 minutes. (c) CIE 1931 color space coordinates of CsPbBr3 PQDs thin film at 0, 10, 20, and 30 minutes. Reprinted with permission from ref. 91, Copyright 2025 American Chemical Society. | ||
Table 6 provides a comprehensive and meticulously curated overview of CsPbBr3 PQD-based fluorescence sensors designed for the detection of non-pesticide contaminants, including mycotoxins, heavy metals, illegal dyes, and pharmaceutical residues, reinforcing their pivotal role in advancing food safety diagnostics. It systematically details sensor architectures, such as molecularly imprinted polymer (MIP)-integrated, ratiometric, and ECL-based platforms, achieving LODs as low as 0.027 ng mL−1 for PAT and 8.5 fg mL−1 for aflatoxin B1. The table elucidates fluorescence modulation mechanisms—PET, FRET, and IFE—underpinning high sensitivity and selectivity in complex food matrices like chili powder, corn oil, and apple juice. Surface engineering strategies, including silica encapsulation, metal–organic framework (MOF) confinement, and ligand functionalization with molecules like 3-mercaptopropionic acid, are highlighted for enhancing aqueous stability and mitigating lead ion leaching, aligning with regulatory requirements.
| Contaminant | Detection mechanism | Limit of detection | Sample matrix | Ref. |
|---|---|---|---|---|
| Sudan I–IV dyes | MIP–PQD | 0.3 µg L−1 | Spices (chilli powder) | 50 |
| Rhodamine 6G | Ratiometric FRET | 0.01 µg mL−1 | Water, food | 21 |
| Patulin (mycotoxin) | MIP–photopolymer | 0.027 ng mL−1 | Apple juice, jam | 22 |
| Aflatoxin B1 | ECL (MOF-encapsulated) | 3.5 fg mL−1 | Corn oil, cereals | 74 |
| Heavy metals (Cu2+) | Ion exchange, PET | 0.8 µM | Fruits, tea | 76 |
| Tetracycline (antibiotic) | PET (surface engineered) | 76 nM | Milk, seafood | 26 |
| Ochratoxin A | Smartphone-assisted dual-emission probe | 4.1 ng mL−1 | Coffee, tea, fig, flour | 30 |
| 2,2-DDVP (organophosphate) | MIP–mesoporous silica | 1.27 µg L−1 | Cabbage, lettuce | 72 |
| Prometryn (herbicide) | ECL (MIP–coated QDs) | 0.01 µg kg−1 | Fish, seawater | 93 |
| 4-Nitroaniline | CsPbBr3 PQDs integrated with ZIF-8 MOF | 8.4 ppb | Water | 94 |
| Rhodamine B | CsPbBr3 PQDs integrated with ZIF-8 MOF | 0.088 ppm | Water | 94 |
| Tetracycline (antibiotic) | CsPbBr3/CdS core/shell QDs-based fluorescence sensor | 22.6 nM | Water | 95 |
| Cu2+ | All-inorganic CsPbBr3 PQDs as photoluminescent probe | 0.1 nM | Hexane | 96 |
The unique optical and surface properties of CsPbBr3 perovskite QDs have opened new avenues for the detection of a broad range of non-pesticide food contaminants. From banned dyes and antibiotics to heavy metals and mycotoxins, QD-based sensors provide high sensitivity, selectivity, and versatility. Advances in material stability, ratiometric sensing, portable formats, and data integration have moved these technologies closer to practical implementation. However, achieving full regulatory compliance, especially regarding lead safety, and ensuring scalability remain key challenges for future translation from lab to market.
Optically, CsPbBr3 PQDs surpass CDs and UCNPs in spectral purity and brightness; their narrow emission linewidths (<20 nm) minimize overlap with food matrix autofluorescence, unlike the broader spectra of CDs (typically 40–100 nm). This facilitates ratiometric sensing with superior signal-to-noise ratios, as evidenced by LODs as low as 0.027 ng mL−1 for patulin, outperforming CD-based sensors that often require additional quenchers or amplifiers. Furthermore, compared to InP QDs, which exhibit lower PLQYs (50–70%) and necessitate toxic precursors, CsPbBr3 PQDs achieve tunable bandgap energies through halide exchange, allowing seamless integration into multiplexed platforms for simultaneous detection of mycotoxins and heavy metals without compromising efficiency.108,111,119
Stability-wise, CsPbBr3 PQDs face competition from robust Ag nanoparticles, which resist environmental degradation but are prone to oxidation in food matrices, leading to inconsistent performance. Encapsulation strategies for CsPbBr3, such as MOF or silica hybridization, not only rival the durability of UCNPs (which maintain emission under NIR excitation) but also enhance biocompatibility, reducing non-specific interactions in oily or acidic samples. This adaptability contrasts with the rigidity of metallic nanoparticles, where surface modifications often quench plasmonic effects, limiting their utility in dynamic sensing environments.72,117
In terms of sensitivity and selectivity for non-pesticide contaminants, CsPbBr3 PQDs integrated with MIPs or aptamers yield sub-nanomolar LODs for tetracycline and heavy metals, eclipsing the micromolar range typical of Au/Ag-based colorimetric assays. Unlike CDs, which rely on aggregation-induced emission but suffer from batch variability, CsPbBr3 PQDs support ECL and PEC modalities with enhanced photocurrent stability, as seen in aflatoxin B1 detection at 8.5 fg mL−1—orders of magnitude better than traditional QDs in oily matrices.24,110 These attributes underscore their versatility in portable formats, bridging the gap between high-end chromatography and field-deployable tools. Ultimately, CsPbBr3 PQDs distinguish themselves through a balanced profile of optical excellence, synthetic accessibility, and functional tunability, addressing gaps left by other nanomaterials in regulatory-compliant food sensing. While toxicity mitigation remains a priority, their lead-free variants and hybrid designs promise a transformative edge, fostering innovations that could standardize global food contaminant monitoring with unprecedented precision and ease (Table 7).
| Nanomaterial | PLQY (%) | Emission linewidth (nm) | Stability in aqueous matrices | Toxicity concerns | Typical LOD for contaminants (e.g., mycotoxins/heavy metals) | Key advantages in food sensing | Limitations | Ref. |
|---|---|---|---|---|---|---|---|---|
| CsPbBr3 PQDs | Up to 90 | <20 | Moderate (improved via encapsulation) | Moderate (Pb leaching; lead-free options emerging) | 0.027 ng mL−1 (patulin); 2 nM (Cu2+) | High spectral purity; tunable for multiplexed/ratiometric assays; compatible with ECL/PEC | Aqueous instability; requires surface engineering | 24, 53 and 72 |
| CdSe QDs | 50–80 | 20–40 | High (core–shell designs) | High (Cd toxicity) | 1–10 ng mL−1 (mycotoxins); 10–100 nM (metals) | Bright emission; established bioconjugation | Heavy metal risks; complex synthesis | 107–109 |
| Au NPs | N/A (plasmonic) | N/A | High | Low | 10–100 nM (SERS for dyes) | Plasmon-enhanced SERS; biocompatibility | No intrinsic fluorescence; oxidation-prone | 110–112 |
| Carbon dots | 10–50 | 40–100 | High | Low | 1–10 nM (metals); 0.1–1 µg mL−1 (mycotoxins) | Eco-friendly; easy synthesis | Broad emission; batch variability | 113–115 |
| UCNPs | 0.1–5 | <10 | High | Low | 10–100 fg mL−1 (ECL for toxins) | Anti-Stokes emission; deep tissue penetration | Low brightness; requires NIR excitation | 116–119 |
| InP QDs | 50–70 | 40–60 | Moderate | Moderate (In/P precursors) | 0.1–1 µg mL−1 (dyes); 50 nM (antibiotics) | Lower toxicity than CdSe; NIR emission options | Lower PLQY; precursor toxicity | 120–122 |
Additional examples further illustrate PQD efficacy: methylammonium lead halide (MAPbX3) PQDs enable fluorescence turn-off for polar organochlorine pesticides like methoxychlor through blue shifts in emission spectra, with an LOD of 0.1 ppm and selectivity in agricultural samples.129 CsPbBr3 PQDs functionalized for chlorpyrifos detection in fruits show quenching-based sensing with an LOD of 0.05 µM and recoveries of 92–105%.130 Finally, CsPbCl3 PQDs offer turn-off detection for carbendazim fungicide in vegetables, achieving an LOD of 8.5 nM, a linear range of 0.01–10 µM, and high selectivity with recoveries of 95–102%.76 These applications highlight the potential of PQDs for pesticide monitoring, though challenges like matrix interference in food samples require ongoing optimization.
Comparing CsPbBr3 PQDs with other nanomaterials underscores their optical superiority but highlights trade-offs in practical applications. In terms of sensitivity, CsPbBr3 PQDs excel with PLQYs up to 90% and narrow emission (<20 nm), enabling LODs of 0.03–3.3 ng mL−1 for Sudan dyes via PET, outperforming AuNPs' typical micromolar ranges in colorimetric assays due to perovskites' enhanced radiative recombination.23,107 Carbon dots (CDs), while offering comparable fluorescence, suffer from broader spectra (40–100 nm), leading to higher spectral overlap and reduced precision in multiplexed sensing for mycotoxins or heavy metals.113,114 MOFs provide structural advantages for analyte trapping, achieving similar sub-nanomolar LODs when hybridized with QDs, but alone they lack the intrinsic brightness of perovskites, often requiring additional fluorophores.72,117 Thus, CsPbBr3 PQDs are particularly advantageous for high-sensitivity fluorescence in trace contaminant detection.
Regarding stability, CsPbBr3 PQDs face challenges in aqueous or oxygen-rich food environments, with rapid quenching without encapsulation, unlike AuNPs' robust plasmonic properties that maintain performance in harsh matrices for months.21,107 CDs exhibit superior photostability and water dispersibility, retaining fluorescence over extended periods in biological samples, making them more reliable for long-term monitoring without the need for complex coatings.113,114 MOFs shine in this aspect, offering hierarchical porosity that protects embedded QDs from degradation, as seen in QD@MOF hybrids retaining 90% PLQY after 140 hours in water—far exceeding bare perovskites.72,117 Hybridization with MOFs or silica thus emerges as a key strategy to bridge CsPbBr3's stability gaps, enhancing their viability in real-world food safety.
Regulatory compliance poses a significant differentiator, with CsPbBr3 PQDs hindered by Pb2+ toxicity and leaching risks conflicting with FDA/WHO limits (<10 ppb in food-contact materials), unlike non-toxic AuNPs and CDs that are more readily approved for direct food applications.4,113 AuNPs benefit from established biocompatibility in colorimetric sensors, avoiding heavy metal concerns, while CDs' carbon-based nature aligns with green chemistry standards, facilitating easier integration into regulatory-compliant platforms.107,114 MOFs, being tunable and often metal-free in organic frameworks, offer better compliance when used as hosts for perovskites, mitigating toxicity through encapsulation and enabling safer lead-free variants.72,117 Addressing Pb issues via doping (e.g., Mn2+, Bi3+) is crucial for perovskites to compete in regulated markets.19,30
Practical barriers to commercialization further emphasize the need for targeted improvements in CsPbBr3 PQD sensors. Reproducibility remains a challenge, with batch-to-batch variations in size and PLQY (up to 20%) from methods like hot-injection, leading to inconsistent sensor performance and complicating quality control in large-scale production.28,59 This contrasts with more uniform synthesis of AuNPs or CDs via simpler precipitation routes, which achieve <5% variability and support reliable manufacturing.107,113 Toxicity barriers exacerbate commercialization hurdles, as Pb leaching from degraded PQDs violates stringent food safety regulations, necessitating costly lead-free alternatives like CsSnBr3 that often compromise optical performance (e.g., 20–30% lower PLQY).30,97 While encapsulation reduces risks, it adds processing steps, potentially increasing overall costs by 20–50% and delaying market entry.21,27
Synthesis costs represent another key obstacle, with high-temperature hot-injection for CsPbBr3 PQDs costing $50–100 g−1 due to specialized precursors and equipment, compared to more economical room-temperature LARP at $20–50 g−1; however, scaling microfluidics could halve expenses while improving reproducibility.28,59 Overcoming these through green, scalable methods and hybrid designs will be essential for translating CsPbBr3 PQDs into viable, cost-effective food safety tools. Table 8 provides a critical comparison of CsPbBr3 PQDs with AuNPs, carbon dots, and MOFs in key performance metrics for food safety sensing, highlighting perovskites' optical advantages alongside stability and compliance challenges.
| Nanomaterial | Sensitivity (e.g., LOD range) | Stability (e.g., in aqueous matrices) | Regulatory compliance | Key ref. |
|---|---|---|---|---|
| CsPbBr3 PQDs | Sub-nanomolar (0.03–3.3 ng mL−1 for dyes/mycotoxins) | Moderate; requires encapsulation (e.g., retains 70–90% PLQY up to 140 h) | Limited due to Pb toxicity; needs lead-free variants | 21, 30 and 72 |
| AuNPs | Micromolar (1–10 µM for heavy metals/pathogens) | High; resistant to degradation over months | Excellent; non-toxic, FDA-approved for food contact | 136 |
| Carbon dots | Nanomolar (1–10 ng mL−1 for contaminants) | High; photostable in water/biofluids | Strong; carbon-based, biocompatible | 137 |
| MOFs | Sub-nanomolar (when hybridized; 0.1–1 nM for ions) | Excellent; porous structure protects from environmental stress | Good; tunable, often metal-free options | 138 |
Hybrid QD systems integrated with MOFs, MIPs, and nanocomposites such as POSS (polyhedral oligomeric silsesquioxane) enable simultaneous improvements in stability, selectivity, and signal output. For example, dual-stirring-bar-assisted amplification combined with multicolor perovskite QDs has demonstrated ultralow detection limits for Salmonella and Vibrio spp.25 These advanced composites not only shield the QDs from environmental degradation but also provide hierarchical surface structures for enhanced molecular recognition, though they may introduce minor PLQY reductions (e.g., 5–15% in MOF hybrids due to confinement effects).73 The development of biomimetic platforms, such as enzyme-mimicking MIPs or host–guest interactions with cyclodextrins, further expands the range of detectable analytes—from mycotoxins and antibiotics to illegal dyes and preservatives. Additionally, artificial intelligence (AI) integration, including machine learning algorithms like support vector machines (SVM) for signal processing and pattern recognition, can mitigate matrix interferences and achieve classification accuracies up to 98% in multiplexed detection.29 AI-driven predictive modeling could further optimize PQD synthesis parameters and sensor calibration, accelerating design cycles and enabling adaptive real-time diagnostics in dynamic food environments.132
Ratiometric sensors, which rely on fluorescence intensity ratios rather than absolute values, provide internal referencing that compensates for environmental or instrumental fluctuations. Dual-channel emission systems combining perovskite QDs with carbon dots or doped variants enable high-precision quantitative analysis, even in turbid or colored matrices.10,99 This advancement is particularly valuable for visual or smartphone-based diagnostics, where colorimetric transitions can be monitored under UV light and interpreted via dedicated apps, reducing reliance on laboratory-grade fluorometers.
The miniaturization of analytical tools through microfluidics and portable photonic systems is rapidly transforming point-of-care food diagnostics. By embedding CsPbBr3 QDs into paper microfluidic devices, lateral flow sensors, or smartphone-readout systems, rapid and field-deployable analysis becomes feasible.52 Microfluidics also supports high-throughput analysis and low reagent consumption, essential for screening multiple contaminants in parallel. The integration of perovskite QDs into these systems allows for compact, disposable, and low-cost devices that meet the demands of industry, regulators, and consumers alike. Recent trends focus on green chemistry approaches that employ safer solvents, reduce waste, and ensure biocompatibility. For example, aqueous synthesis under mild conditions, ligand engineering with biodegradable surfactants, and solid-state devices are actively being explored to align with environmental and regulatory standards.67,83 Moreover, collaborations between academia, industry, and regulatory bodies are essential for establishing quality standards, validation protocols, and product certifications—paving the way for industrial adoption of QD-based food diagnostics.
Stability in complex food matrices remains a critical barrier to commercialization, but recent encapsulation strategies have significantly improved PQD performance. Silica and MOF coatings extend fluorescence stability to over 12 months under ambient conditions, with minimal lead leaching (<10 ppb), meeting FDA and EFSA safety thresholds.22,73 For instance, silica-encapsulated PQDs have demonstrated robust detection of aflatoxin B1 in grains with LODs as low as 8.5 fg mL−1, outperforming conventional fluorescence assays in oily matrices.73 These advancements enable the design of portable, field-deployable devices like paper-based sensors, which offer operational simplicity for on-site testing in resource-limited settings, ensuring compliance with international standards like Codex Alimentarius.52
The patent landscape reflects growing innovation in PQD-based food safety sensors, with numerous filings since 2020 focusing on hybrid nanostructures and multiplexed detection platforms.25,78 These patents emphasize ratiometric and electrochemiluminescence (ECL) sensors for simultaneous detection of contaminants like tetracycline and Cu2+, achieving sub-nanomolar sensitivities in complex matrices such as milk and seafood.26,77 Collaborative research under international frameworks, such as the European Food Safety Authority's validation programs, has demonstrated 95% accuracy in real-world trials for Vibrio parahaemolyticus detection in aquaculture.25 These efforts highlight the potential for integrating PQDs into smart food safety systems, where IoT-enabled devices provide real-time analytics, enhancing traceability and regulatory compliance across global supply chains.29
Regulatory challenges, particularly lead toxicity, necessitate the development of lead-free PQD variants like CsSnBr3 or Cs2AgBiBr6, which retain high PLQYs (up to 80%) while eliminating health risks.30,97 Recent studies have validated these alternatives for heavy metal detection in vegetables, achieving LODs comparable to CsPbBr3 PQDs while adhering to WHO guidelines.77 Green chemistry approaches, such as aqueous synthesis with biodegradable ligands, further enhance sustainability, aligning with circular economy principles.83 These innovations support the adoption of PQDs in standardized formats like lateral flow assays, which offer practical advantages for small-scale producers in developing regions24,52 (Table 9).
| Innovation | Description | Application in food safety | Development stage | Ref. |
|---|---|---|---|---|
| Continuous-flow microfluidics | Scalable synthesis using microchannel reactors with precise precursor flow control, achieving PLQY >85% and size uniformity <5% | High-throughput screening of pathogens in seafood | Pilot scale (small-scale industrial trials) | 59 |
| Silica/MOF encapsulation | Encapsulation with silica or MOFs, ensuring <10 ppb lead leaching and fluorescence stability >12 months | Mycotoxin detection in grains and oils (LOD 8.5 fg mL−1 for aflatoxin B1) | Commercial prototype (validated in complex matrices) | 22 and 73 |
| Lead-free PQDs | Sn/Bi-doped variants with PLQY up to 80%, reducing toxicity risks | Heavy metal detection in vegetables (comparable LODs to CsPbBr3) | Research phase (laboratory proof-of-concept) | 30 and 97 |
| MIP-integrated ratiometric sensors | Molecularly imprinted polymers with PQDs for selective, multiplexed detection | Antibiotic and dye detection in dairy and spices (sub-nanomolar LODs) | Field trials (real-world validation) | 25 and 78 |
| IoT-enabled smart sensors | Real-time analytics using machine learning (SVM) with 98% classification accuracy | Traceability in supply chains for pathogen monitoring | Research phase (laboratory-based studies) | 29 |
| Paper-based fluorescent sensors | Immobilized PQDs on cellulose for visual detection under UV light | Detection of total polar materials in edible oils (LOD 0.5% w/w) | Commercial prototype (field-deployable) | 52 |
Future industrial translation hinges on establishing robust quality control metrics, such as batch-to-batch reproducibility (<3% PLQY variation) and sensor calibration for matrix effects.59 Machine learning-assisted signal processing is emerging as a powerful tool to mitigate autofluorescence and non-specific interactions in food samples, achieving classification accuracies up to 98% for multiplexed pathogen detection.29 Continued collaboration between researchers, regulators, and industry stakeholders will be essential to standardize these technologies, ensuring they meet ISO 22000 and other global benchmarks for widespread adoption in food safety monitoring.
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