Dual-mode System Research Articles

A CRISPR-Cas12a-mediated dual-mode luminescence and colorimetric nucleic acid biosensing platform based on upconversion nanozyme

In this study, a CRISPR-Cas12a-mediated dual-mode upconversion luminescence/colorimetric nucleic acid biosensing platform is developed based on UCNP@SiO2/CeO2 (UNSC) nanozyme. Here, UNSC is conjugated with single-stranded DNA (ssDNA) probes used as both peroxidase-like nanozyme and upconversion luminescence donors. When no target nucleic acid is present, ssDNA-conjugated UNSC attaches on magnetic graphene oxide (MGO) via pi-pi stacking force, resulting in upconversion luminescence quenching (OFF) and no color change after magnetic removal of nanozymes attached on the MGO. In the presence of target nucleic acid, Cas12a is specifically activated by targeted nucleic acid and indiscriminately cleaves the ssDNA probes on UNSCs. UNSCs then detach from the MGO surface due to the weakening of binding force, leading to upconversion luminescence recovery (ON) and colorimetric change due to the existence of free nanozyme in the 3,3’,5,5’-tetramethyl-benzidine assay. As a proof-of-concept, this biosensing platform shows a limit of detection of around 320 fM in the upconversion luminescence mode and ∼28.4 pM in the colorimetric mode for nucleic acid detection, respectively. This UNSC nanozyme-based CRISPR-Cas12a dual-mode biosensing system also demonstrates high selectivity, good repeatability, and facile operation, which allows easy adaption to other nucleic acid-based detection only by redesigning the sequence of CRISPR RNA.

Water-Vapor-Triggered Dual-Mode Optical Responses in Rare-Earth-Doped Hollow Nanospheres.

Multimode responsive optical materials are garnering ever-increasing attention due to their diverse applications. This work showcases a film assembled with rare-earth-doped CaF2 hollow nanospheres that exhibit water-vapor-triggered dual-mode optical responses. Upon exposure to flowing water vapor, the film rapidly (less than 1.5 s for a 7.7 μm thickness) transitions to a transparent state and simultaneously undergoes a sharp decrease in the photoluminescence intensity. Both of these changes fully reverse upon water evaporation, demonstrating an impressive reversibility over at least 200 cycles. The water-vapor-induced dual-mode responses are attributed to the altered incident light propagation path stemming from the similar refractive indices between CaF2 and water, coupled with the water-induced energy loss of the rare-earth ions. The fabrication of encryption patterns displaying separate signals in multiple channels, as well as the demonstration of noncontact sensing for water vapor distribution, underscore the promising application potential of this dual-mode responsive system.

Versatile xylose and arabinose genetic switches development for yeasts

Inducible transcription systems are essential tools in genetic engineering, where tight control, strong inducibility and fast response with cost-effective inducers are highly desired. However, existing systems in yeasts are rarely used in large-scale fermentations due to either cost-prohibitive inducers or incompatible performance. Here, we developed powerful xylose and arabinose induction systems in Saccharomyces cerevisiae, utilizing eukaryotic activators XlnR and AraRA from Aspergillus species and bacterial repressors XylR and AraRR. By integrating these signals into a highly-structured synthetic promoter, we created dual-mode systems with strong outputs and minimal leakiness. These systems demonstrated over 4000- and 300-fold regulation with strong activation and rapid response. The dual-mode xylose system was fully activated by xylose-rich agricultural residues like corncob hydrolysate, outperforming existing systems in terms of leakiness, inducibility, dynamic range, induction rate, and growth impact on host. We validated their utility in metabolic engineering with high-titer linalool production and demonstrated the transferability of the XlnR-based xylose induction system to Pichia pastoris, Candida glabrata and Candida albicans. This work provides robust genetic switches for yeasts and a general strategy for integrating activation-repression signals into synthetic promoters to achieve optimal performance.

Using magnesium hydride as the future dual-mode propellant for spacecraft: A simulation investigation

A dual-mode propulsion system stands as the important viable pathway for future multi-purpose deep space missions by the spacecraft, encompassing both nuclear thermal propulsion and nuclear electric propulsion. H2 and Mg emerge as potential mediums for nuclear thermal propulsion and nuclear electric propulsion, respectively, with the possibility of utilizing a single material, magnesium hydride (MgH2), to serve both purposes. However, how to release hydrogen completely and effectively in high hydrogen desorption pressure while retaining magnesium is the key problem. In this work, we proposed a novel MgH2 storage tank for zero gravity environments and investigated its hydrogen desorption process at high pressures of 4 ∼ 8 MPa using simulation, which is crucial for the hydrogen supply of nuclear thermal propulsion. We examined the effects of hydrogen desorption pressure, inlet temperature, and flow velocity of argon (Ar) on the desorption process. The simulation results indicated complete decomposition of MgH2 can be realized under 4 ∼ 8 MPa at 873 K. Moreover, the desorption pressure, inlet temperatures, and high flow velocities of Ar are suggested as 4 MPa, 773 ∼ 785 K, and 45 ∼ 100 m s−1 to achieve an average hydrogen desorption rate per unit thermal power of ≥ 20 mgH2 s−1. This work marks the first confirmation that MgH2 can decompose into H2 and Mg under high hydrogen desorption pressure at suitable thermal power, paving the way for its application as the hydrogen and Mg storage media in the dual-mode propulsion system of spacecraft.

Dual-mode OCT/fluorescence system for monitoring the morphology and metabolism of laser-printed 3D full-thickness skin equivalents.

The 3D structure of native human skin is fundamental for studying skin health, diseases, wound healing, and for testing the safety of skin care products, as well as personalized treatments for skin conditions. Tissue regeneration, driven by tissue engineering, often involves creating full-thickness skin equivalents (FSE), which are widely used for developing both healthy and diseased skin models. In this study, we utilized human skin cell lines to create FSE. We designed high-resolution 3D scaffolds to support the growth and maturation of these skin models. Additionally, we developed and validated a cost-effective, custom-built system combining fluorescence spectroscopy (FS) and optical coherence tomography (OCT) for non-destructive analysis of the metabolism and morphology of 3D FSEs. This system proved highly sensitive in detecting fluorescence from key metabolic co-enzymes (NADH and FAD) in solutions and cell suspensions, while OCT provided adequate resolution to observe the morphology of FSEs. As a result, both the 3D FSE model and the dual-mode optical system hold significant potential for use in 3D bioprinting of biological tissues, as well as in the development of cosmetics, drugs, and in monitoring their maturation over time.

Dual-mode on-machine metrology for SPDT tool alignment

To address the critical demand for on-machine metrology (OMM) in precision optics fabrication, a unique dual-mode OMM system has been developed. By integrating polarization-based snapshot motionless phase shifting, this OMM system enables the measurement of both surface form and roughness under laser interferometry mode and LED interference microscopy mode. Its compact and dual-mode design makes it ideal for on-machine tool alignment within single-point diamond turning (SPDT) machines, without the need to remove parts. To enhance its OMM capabilities, a defocus-model-based least square (L2) regression fitting algorithm and a convex-hull-based L2 regression are proposed to achieve precise retrieval of deviations in X and Y axes with robustness. Additionally, a high-precision calibration method for testing system misalignment, based on the Zernike high-order approximation model, is applied to relax the OMM system alignment requirements. As a result, rapid tool alignment is achieved without stringent alignment needs. The proposed OMM eliminates the necessity for offline metrology feedback during the tool alignment process and increases process efficiency by at least 50%. Furthermore, it eliminates errors caused by removing, repositioning, and rebalancing the part, offering a novel alternative solution to address the critical demand for SPDT tool alignment and surface characterization.

A Wireless Bi-Directional Brain-Computer Interface Supporting Both Bluetooth and Wi-Fi Transmission.

Wireless neural signal transmission is essential for both neuroscience research and neural disorder therapies. However, conventional wireless systems are often constrained by low sampling rates, limited channel counts, and their support of only a single transmission mode. Here, we developed a wireless bi-directional brain-computer interface system featuring dual transmission modes. This system supports both low-power Bluetooth transmission and high-sampling-rate Wi-Fi transmission, providing flexibility for various application scenarios. The Bluetooth mode, with a maximum sampling rate of 14.4 kS/s, is well suited for detecting low-frequency signals, as demonstrated by both in vitro recordings of signals from 10 to 50 Hz and in vivo recordings of 16-channel local field potentials in mice. More importantly, the Wi-Fi mode, offering a maximum sampling rate of 56.8 kS/s, is optimized for recording high-frequency signals. This capability was validated through in vitro recordings of signals from 500 to 2000 Hz and in vivo recordings of single-neuron spike firings with amplitudes reaching hundreds of microvolts and high signal-to-noise ratios. Additionally, the system incorporates a wireless stimulation function capable of delivering current pulses up to 2.55 mA, with adjustable pulse width and polarity. Overall, this dual-mode system provides an efficient and flexible solution for both neural recording and stimulation applications.

Dual-Modal Illumination System for Defect Detection of Aircraft Glass Canopies.

Defect detection in transparent materials typically relies on specific lighting conditions. However, through our work on defect detection for aircraft glass canopies, we found that using a single lighting condition often led to missed or false detections. This limitation arises from the optical properties of transparent materials, where certain defects only become sufficiently visible under specific lighting angles. To address this issue, we developed a dual-modal illumination system that integrates both forward and backward lighting to capture defect images. Additionally, we introduced the first dual-modal dataset for defect detection in aircraft glass canopies. Furthermore, we proposed an attention-based dual-branch modal fusion network (ADMF-Net) to enhance the detection process. Experimental results show that our system and model significantly improve the detection performance, with the dual-modal approach increasing the mAP by 5.6% over the single-modal baseline, achieving a mAP of 98.4%. Our research also provides valuable insights for defect detection in other transparent materials.

Strategic Integration: A Cross-Disciplinary Review of the fNIRS-EEG Dual-Modality Imaging System for Delivering Multimodal Neuroimaging to Applications.

Background: Recent years have seen a surge of interest in dual-modality imaging systems that integrate functional near-infrared spectroscopy (fNIRS) and electroencephalography (EEG) to probe brain function. This review aims to explore the advancements and clinical applications of this technology, emphasizing the synergistic integration of fNIRS and EEG. Methods: The review begins with a detailed examination of the fundamental principles and distinctive features of fNIRS and EEG techniques. It includes critical technical specifications, data-processing methodologies, and analysis techniques, alongside an exhaustive evaluation of 30 seminal studies that highlight the strengths and weaknesses of the fNIRS-EEG bimodal system. Results: The paper presents multiple case studies across various clinical domains-such as attention-deficit hyperactivity disorder, infantile spasms, depth of anesthesia, intelligence quotient estimation, and epilepsy-demonstrating the fNIRS-EEG system's potential in uncovering disease mechanisms, evaluating treatment efficacy, and providing precise diagnostic options. Noteworthy research findings and pivotal breakthroughs further reinforce the developmental trajectory of this interdisciplinary field. Conclusions: The review addresses challenges and anticipates future directions for the fNIRS-EEG dual-modal imaging system, including improvements in hardware and software, enhanced system performance, cost reduction, real-time monitoring capabilities, and broader clinical applications. It offers researchers a comprehensive understanding of the field, highlighting the potential applications of fNIRS-EEG systems in neuroscience and clinical medicine.

Multimodal photoacoustic microscopy and optical coherence tomography ocular biomarker imaging in Alzheimer's disease in mice.

Alzheimer's disease (AD) is a neurodegenerative disease characterized by amyloid beta (Aβ)-containing extracellular plaques and tau-containing intracellular neurofibrillary tangles. Reliable and more accessible biomarkers along with associated imaging methods are essential for early diagnosis and to develop effective therapeutic interventions. Described here is an integrated photoacoustic microscopy (PAM) and optical coherence tomography (OCT) dual-modality imaging system for multiple ocular biomarker imaging in an AD mouse model. Anti-Aβ-conjugated Au nanochains (AuNCs) were engineered and administered to the mice to provide molecular contrast of Aβ. The retinal vasculature structure and Aβ deposition in AD mice and wild-type (WT) mice were imaged simultaneously by dual-wavelength PAM. OCT distinguished significant differences in retinal layer thickness between AD and WT animals. With the unique ability of imaging the multiple ocular biomarkers via a coaxial multimodality imaging system, the proposed system provides a new tool for investigating the progression of AD in animal models, which could contribute to preclinical studies of AD.

JQR-Net: joint quantitative reconstruction network for dual-modal photoacoustic and optical coherence tomography imaging.

Photoacoustic (PA) and optical coherence tomography (OCT) imaging are complementary imaging modalities with distinct contrast mechanisms, penetration depths, and spatial resolutions. Integrating these two modalities into a dual-modal PA-OCT imaging system enables the simultaneous acquisition of multimodal signals within a single scan. This integration supports quantitative reconstruction of tissue characteristics, offering a more precise and comprehensive analysis than single-modal imaging. In this paper, we propose a deep learning approach for joint quantitative reconstruction in dual-modal PA-OCT imaging, potentially advancing imaging capabilities for detailed tissue examination and disease analysis. We develop a deep neural network that performs end-to-end mapping from photoacoustically induced pressure signals and backscattered OCT signals to parametric images representing the spatial distribution of optical absorption and attenuation coefficients. This network provides both morphological and functional insights. To the best of our knowledge, this is the first deep learning model designed to simultaneously reconstruct multiple tissue characteristic parameters from dual-modal imaging signals, facilitating in-depth tissue characterization.

Atomically Fe(Ⅲ) anchored metal-organic frameworks-based fluorescent nanozyme for smartphone-adopted chemiluminescence-fluorescence dual-mode analysis of Uric acid

BackgroundChemiluminescence (CL) analysis is a promising analytical method with advantages including easy operation, high sensitivity and simple instrument. However, the single CL mode usually suffered from poor stability and reproducibility as a result of the flash-type nature of luminescent molecules, leading to false positive or negative results in practical applications. Dual-mode detection is an advanced sensing methodology that identifies analytes through independent output signals. This approach has the ability to circumvent the inherent constraints of individual sensing modes while integrating their respective strengths, thereby yielding a synergistic enhancement in the detection system. ResultsHerein, a chemiluminescence-fluorescence (FL) dual-mode analysis and imaging system is designed by constructing an atomically Fe(Ⅲ) anchored PCN-224 peroxidase-mimicking nanozyme (PCN-224/Fe(Ⅲ)) and achieve an ultrasensitive detection of Uric Acid (UA). The multifunctional PCN-224/Fe(Ⅲ) serves as a high-efficiency co-reaction promoter in the generation of reactive oxygen species (ROS) in both the CL and FL system, while also demonstrating exceptional capabilities as fluorescent nanoprobes. Ultimately, a smartphone-adopted CL imaging device was developed to achieve a visual CL detection through the design of portable paper-based chips. Besides, with the assistance of the TMB-mediated fluorescence energy resonance transfer, the fluorescent PCN-224/Fe(Ⅲ) nanoprobes exhibited good fluorescence detection performance for UA. The limit of detection was achieved as low as 2.45 × 10−10 M and 1.99 × 10−9 M in the CL and FL mode, respectively. SignificanceThis study engineered an atomically Fe(Ⅲ)- MOF-based multifunctional nanozyme and developed an innovative approach for creating CL-FL dual-mode analysis and imaging detection for UA. The proposed CL-FL dual-mode detection system not only provided a portable and sensitive method for UA detection but also offered valuable insights into the mechanism of the co-reaction promoter enhanced CL and FL analysis.

An Efficient Fabrication Approach for Multi-Cancer Responsive Chemoimmuno Co-Delivery Nanoparticles.

Background/Objectives: Cancer remains one of the leading causes of death, with breast, liver, and pancreatic cancers significantly contributing to this burden. Traditional treatments face issues including dose-limiting toxicity, drug resistance, and limited efficacy. Combining therapeutic agents can enhance effectiveness and reduce toxicity, but separate administration often leads to inefficiencies due to differing pharmacokinetics and biodistribution. Co-formulating hydrophobic chemotherapeutics such as paclitaxel (PTX) and hydrophilic immunologic agents such as polyinosinic-polycytidylic acid (Poly IC) is particularly challenging due to their distinct physicochemical properties. This study presents a novel and efficient approach for the co-delivery of PTX and Poly IC using chitosan-based nanoparticles. Method: Chitosan-PEG (CP) nanoparticles were developed to encapsulate both PTX and Poly IC, overcoming their differing physicochemical properties and enhancing therapeutic efficacy. Results: With an average size of ~100 nm, these nanoparticles facilitate efficient cellular uptake and stability. In vitro results showed that CP-PTX-Poly IC nanoparticles significantly reduced cancer cell viability in breast (4T1), liver (HepG2), and pancreatic (Pan02) cancer types, while also enhancing dendritic cell (DC) maturation. Conclusions: This dual-modal delivery system effectively combines chemotherapy and immunotherapy, offering a promising solution for more effective cancer treatment and improved outcomes.

Study on the detection of power line operation anomalies in the Hexi Corridor based on multi-scale filtering of BeiDou satellite signals

In the artificial intelligence detection of power line anomalies, the identification effect is determined by the positioning process of two-dimensional map, which is also a difficult point in this field Therefore, this paper proposes a method to detect the abnormal operation of power lines in Hexi Corridor based on multi-scale filtering of Beidou satellite signals. Multi-scale processing is carried out by wavelet transform to obtain multiple wavelet basis functions of different scales. On this basis, a two-dimensional time–frequency diagram is drawn according to the results of continuous wavelet transform. The adaptive multi-time frequency entropy method is selected to divide the two-dimensional time–frequency map into multiple layers and scales, and the adaptive multi-scale time–frequency entropy of the time–frequency plane is calculated. After smoothing the obtained power line position signal by S-G filtering method, the power line position signal of Hexi Corridor is obtained by GPS/ Beidou dual-mode satellite positioning system, and the positioning signal is optimized by using the positioning mechanism of multiple receiving stations. Realize the abnormal operation detection of power lines in Hexi Corridor. The experimental results show that this method can obtain more accurate positioning signals, and the geometric accuracy factor GDOP fluctuates in the range of 0 ∼ 2. The unsmooth signal can be effectively removed; The maximum error result of abnormal position detection is 1.22kn；; At the same time, the abnormal displacement section of the line can be determined.

An MLWE-Based Cut-and-Choose Oblivious Transfer Protocol.

The existing lattice-based cut-and-choose oblivious transfer protocol is constructed based on the learning-with-errors (LWE) problem, which generally has the problem of inefficiency. An efficient cut-and-choose oblivious transfer protocol is proposed based on the difficult module-learning-with-errors (MLWE) problem. Compression and decompression techniques are introduced in the LWE-based dual-mode encryption system to improve it to an MLWE-based dual-mode encryption framework, which is applied to the protocol as an intermediate scheme. Subsequently, the security and efficiency of the protocol are analysed, and the security of the protocol can be reduced to the shortest independent vector problem (SIVP) on the lattice, which is resistant to quantum attacks. Since the whole protocol relies on the polynomial ring of elements to perform operations, the efficiency of polynomial modulo multiplication can be improved by using fast Fourier transform (FFT). Finally, this paper compares the protocol with an LWE-based protocol in terms of computational and communication complexities. The analysis results show that the protocol reduces the computation and communication overheads by at least a factor of n while maintaining the optimal number of communication rounds under malicious adversary attacks.

Dual-modal lateral flow immunoassay based on cauliflower-like ReS2@Pt core-shell nanospheres mediated ultra-sensitive detection of deoxynivalenol in food samples

Deoxynivalenol (DON) is a highly toxic secondary metabolite that poses a substantial threat to global human and animal health. However, existing detection technologies are often constrained by limited sensitivity, poor selectivity, or the high costs associated with instrumentation. Consequently, the development of rapid, low-cost, and highly sensitive biosensors for the detection of DON is of paramount importance for ensuring food safety. In this study, we synthesized the precursor of ReS₂ nanospheres using a relatively simple one-step hydrothermal method. Subsequently, Platinum (Pt) was grown in situ on the surface of the ReS₂ nanospheres via hydrothermal reduction, resulting in the formation of cauliflower-like ReS₂@Pt nanospheres. These spheres offer notable advantages, including strong colorimetric signal brightness and high anti-body loading efficiency. Surface modification with platinum significantly enhances peroxidase-like activity, broadening the detection range and improving sensitivity. Leveraging this innovation, we developed Colorimetric-LFIA (CR-LFIA) and Catalytic-LFIA (CL-LFIA) assays. Under optimized conditions, the limit of detection (LOD) for DON was determined to be 0.018 ng/mL for CR-LFIA and 6.5 pg/mL for CL-LFIA, representing 5 times and 16 times improvement over AuNPs-based LFIA (0.111 ng/mL), respectively. Moreover, the detection linear range of CL-LFIA is expanded by 2.5 times compared to CR-LFIA. Validation with real samples demonstrated recovery rates between 90.33% and 110.64%, affirming method stability and repeatability. The developed dual-modal LFIA detection system (D-LFIA) employing ReS2@Pt NPs holds promise for ultra-sensitive detection, with potential applications in expanding the detection range of various substances.

Dual-modality ghost diffraction in a complex disordered environment using untrained neural networks

We report a dual-modality ghost diffraction (GD) system to simultaneously enable high-fidelity data transmission and high-resolution object reconstruction through complex disordered media using an untrained neural network (UNN) with only one set of realizations. The pixels of a 2D image to be transmitted are sequentially encoded into a series of random amplitude-only patterns using a UNN without labels and datasets. The series of random patterns generated is sequentially displayed to interact with an object placed in a designed optical system through complex disordered media. The realizations recorded at the receiving end are used to retrieve the transmitted data and reconstruct the object at the same time. The experimental results demonstrate that the proposed dual-modality GD system can robustly enable high-fidelity data transmission and high-resolution object reconstruction in a complex disordered environment. This could be a promising step toward the development of AI-driven compact optical systems with multiple modalities through complex disordered media.

Experimental study and performance analysis of a dual-mode space propulsion system pressurized by electric pump

This study presents a new dual-mode propulsion system that utilizes an electrically pumped hydrogen peroxide and kerosene supply system, specifically designed for advanced spacecraft orbit and attitude control. The system incorporates two distinct electric pumps, one for hydrogen peroxide and another for kerosene, each engineered to optimize the propellant feed for the orbit control and attitude control engines. This configuration enables precise propellant management and thrust control, which are critical for the stringent demands of modern space missions. The dual-mode capability of the propulsion system allows for the use of hydrogen peroxide both as a monopropellant in the attitude control engine and as an oxidizer in combination with kerosene in the orbit control engine. This approach simplifies the propulsion architecture while maximizing the efficiency and utility of hydrogen peroxide as a propellant. The electric pumps are essential in providing high-pressure propellant delivery, which is necessary to achieve the desired combustion characteristics and thrust parameters. Performance evaluations of the propulsion system demonstrated significant results. The orbit control engine achieved a combustion chamber pressure of 5.9 MPa and a combustion efficiency of 98.42 %. The attitude control engine, operating at a peak pressure of 4.9 MPa, exhibited a stable pulsative mode, maintaining consistent pressure levels throughout its operational cycle. These performance metrics highlight the effectiveness of the electric pump technology in enhancing propulsion system responsiveness and efficiency. This propulsion system is expected to improve spacecraft maneuverability and reduce operational costs, making it suitable for long-duration space missions.

Copper-doped carbon dots nanozymes for multi-signal specific hydrogen sulfide assay and broad-spectrum antibacterial

The emergence of carbon dots-based nanozymes (CDNEs) has opened a broad horizon for multi-mode analysis and safety antibacterial application. However, the practical applications of CDNEs are currently hindered by unsatisfactory performance and complicated synthetic methodology. In this study, we developed a novel copper-doped CDNEs (Cu-CDNEs) with both excellent fluorescence property and peroxidase-like activity. The Cu-CDNEs can be synthesized easily by pyrolyzing a solid mixture of copper glutamate and ethylenediamine hydrochloride for 5 min. By investigating the inhibition of H2S on the peroxidase-like activity of Cu-CDNEs and the competitive interaction between H2S and 3,3′,5,5′-tetramethylbenzidine with reactive oxygen species, we established a dual-mode analysis system for colorimetric and fluorescent detection of H2S with the limit of detection of 20 nM and 25 nM, respectively. Furthermore, a convenient scanometric analysis mode also was developed and successfully applied for the accurate determination of H2S in actual water samples with recoveries of 96.8 %–107.7 %. Moreover, the designed Cu-CDNEs show good cytocompatibility from MTT results, and demonstrated broad-spectrum antibacterial capacity against Gram-positive/negative bacteria due to the surface positive charge and peroxidase-like activity. This study may provide valuable insights for rational design and broad applications in environmental and biomedical fields using functional nanozymes.

A novel x-Ray and γ-Ray combination strategy for radiotherapy after breast-conserving surgery in patients with right breast cancer.

Radiotherapy is a primary therapeutic approach for breast cancer following breast-conserving surgery. The TaiChiB dual-modality radiotherapy system combining X-ray and focused γ-ray, offers a new approach to reduce the radiation dose of organs at risk (OARs) and has the potential to mitigate the adverse effects of radiotherapy. Currently, there are few studies on the dosimetric characteristics of the TaiChiB dual-modality system for actual treatment plans for specific diseases. The purpose of this work is to study the dosimetric advantages of dual-modal systems for right breast patients after breast-conserving surgery. Treatment plans for 20 patients with right breast cancer were generated for a linear accelerator (LINAC) based system and the TaiChiB dual-modality system, respectively. Volumetric modulated arc therapy plans with simultaneous integrated boost (VMAT-SIB) were made for the LINAC. Focused γ-ray was used to deliver the boost dose with the dual-modality system. The dosimetric parameters of the target and OARs were evaluated and compared between the treatment plans generated for the two systems. The TaiChiB dual-modality plans exhibit a higher conformal index (CI) and lower gradient index (GI) for the PGTV and PTV compared with the LINAC-based VMAT-SIB plans. Compared to VMAT-SIB plans, the PTV Dmax, PTV Dmean, PTV V110, PGTV Dmax, and PGTV Dmean of the TaiChiB dual-modality plans are significantly lower. Meanwhile, the dose to OARs, such as the Dmean of the heart, the V5 of liver, the Dmean of ipsilateral lung, the V30 of ipsilateral lung, the V20 of ipsilateral lung, the V5 of ipsilateral lung, the Dmean of contralateral lung, Dmax of contralateral breast and the Dmean of contralateral breast are significantly reduced. Our study demonstrates the dosimetric advantages of the novel TaiChiB dual-modality radiotherapy system for the treatment of right-sided breast cancer. Overall, for the TaiChiB dual-modality radiotherapy system, the radiation dose outside the target region decreases rapidly, thereby minimizing radiation exposure to neighboring organs and ensuring the conformity of the target area. Our research confirms the potential of the TaiChiB dual-modality system for future radiotherapy.