Cell biomechanical modeling method based on neuromorphic capacitance memory sensing element

Abstract

The invention provides a cell biomechanical modeling method based on a neuromorphic capacitance memory sensing element. A neuromorphic capacitance memory sensing model comprises a capacitance sensing module and a neuromorphic sensitive module. The capacitance sensing module is composed of a fibrous hydrogel extracellular matrix and biological cells; the neuromorphic sensitive device part comprises a flexible substrate layer, a bottom electrode layer formed on the substrate layer, an external sensitive function layer formed on the bottom electrode layer, a top electrode layer formed on the external sensitive function layer and a device package. The biomechanical change of the extracellular matrix of the cells and the fibrous hydrogel leads the local capacitance to change so as to regulate and control the neuromorphic sensitive module. The neural morphology capacitance memory sensing element is prepared, is used for sensing and modeling biomechanical signals of cells, and is of great significance to the technical field of miniaturized cell fibers and the technical field of functionalized neural morphology sensitivity.

Description

Technical Field

[0001] This invention relates to the field of neuromorphic sensing technology, specifically to a method for cell biomechanical modeling based on neuromorphic capacitive memory sensing elements. Background Technology

[0002] As the fundamental building blocks of the human body, cells not only perform crucial physiological functions such as metabolism, genetic information transmission, and environmental response and adaptation, but their structure, intercellular interactions, cell-wide coordination mechanisms, and precise communication with the external environment are all in a highly dynamic and constantly changing complex state. This process profoundly reflects the subtlety and complexity of cellular biomechanical behavior. In-depth analysis of cellular biomechanical behavior can provide new perspectives for understanding the cell life cycle and the mechanisms of disease development, and can also greatly promote innovation and progress in the field of biomimetic engineering. To explore cellular biomechanical processes more deeply, researchers typically employ sophisticated microscopic imaging techniques, such as atomic force microscopy and optical traction microscopy. These techniques allow them to directly observe cellular biomechanical behavior at the microscopic level. Combined with precise computational models and theoretical analysis, they can accurately quantify and mathematically model the stress distribution, deformation characteristics, and movement trajectories within cells. These models not only greatly enhance scientists' understanding of the fundamental physical principles behind the biomechanical properties of cells and tissues, but also provide indispensable reference for revealing the root causes of biological pathogenesis and the mechanisms of disease evolution at the macroscopic level. However, with the continuous improvement of research efficiency, traditional microscopic imaging technology, due to its large size and high cost, is gradually becoming unable to meet the time and space constraints brought about by the improvement of research efficiency.

[0003] As a core component of integrated sensing, storage, and computing technology, neuromorphic sensors are increasingly being applied in the modern biomedical field due to their unique design principles and superior performance. In terms of size, neuromorphic sensors utilize micro- and nanofabrication techniques to achieve ultra-small dimensions and structures. This makes them not only compatible with modern CMOS technology but also easily integrated into various biomedical devices. Regarding response speed, neuromorphic sensors achieve nanosecond-level electrical signal transmission speeds, enabling them to rapidly capture and respond to and process minute deformations in cells in real time. Furthermore, neuromorphic sensors possess extremely high chemical sensitivity. Through surface modification and functional design, they can specifically recognize and bind to biomolecules on the cell surface, thereby achieving precise monitoring of cellular biomechanical properties. Therefore, neuromorphic sensors, with their small size, fast response speed, and high chemical sensitivity, have become a common requirement in miniaturized cell microscopy and modern biomedical fields. Summary of the Invention

[0004] One of the objectives of this invention is to provide a method for detecting cellular biomechanical signals at the microscopic level from a macroscopic perspective.

[0005] The second objective of this invention is to meet the needs of life sciences for microscopic cell microscopy and biomechanical modeling technology, and to provide a convenient and miniaturized cell biomechanical modeling technology from the perspective of neuromorphic sensitive technology.

[0006] The objective of this invention is achieved as follows: a neuromorphic capacitive memory sensing model comprising two parts: a capacitive sensing module and a neuromorphic sensitive module. The capacitive sensing module is composed of a fibrous hydrogel extracellular matrix and biological cells; the neuromorphic sensitive device comprises a flexible substrate layer, a bottom electrode layer formed on the substrate layer, an externally connected sensitive functional layer formed on the bottom electrode layer, a top electrode layer formed on the externally connected sensitive functional layer, and a device package.

[0007] The technical solution adopted in this invention is:

[0008] A method for fabricating a neuromorphic capacitive memory sensing element, the method comprising the following steps:

[0009] (1) Technical solution adopted by the capacitive sensing module.

[0010] a. Construct the main framework of the capacitance sensing model using fibrous hydrogel extracellular matrix.

[0011] b. Cell culture in fibrous hydrogel extracellular matrix.

[0012] c. When the biomechanical properties of cells change in fibrous hydrogels, including deformation, displacement, and passage, the area fraction of cells and fibrous molecules in the hydrogel changes, thereby altering the local capacitance and generating a response current under the influence of an electric field.

[0013] (2) Technical solution adopted by the neuromorphic sensitive module.

[0014] The selected flexible substrate is ultrasonically cleaned for 5 minutes in sequence with acetone, alcohol and deionized water to remove surface organic molecules and impurities; wherein the substrate includes, but is not limited to, flexible substrates such as PI or PET.

[0015] b. After drying the clean PI substrate with N2, the bottom electrode layer of the neuromorphic sensitive device is fabricated by microelectronic printing technology; wherein the bottom electrode layer includes, but is not limited to, inert metal materials such as carbon, gold or platinum.

[0016] c. Construct an external sensing functional layer on the bottom electrode layer. Add 10-2000 µL of a two-dimensional nanomaterial solution onto a flexible substrate printed with the bottom electrode layer using a pipette, and spin-coat at 100-3000 rpm / min for 5-120 s. After the first spin-coating operation, anneal at 50-120°C for 30 min. Repeat the spin-coating and annealing process three times to form a dense two-dimensional nanomaterial film. The two-dimensional material film is a defect-type two-dimensional material, including but not limited to MXene, MoS2, BP, WSe2, WS2, etc.

[0017] d. A top electrode layer is fabricated on a flexible PI substrate coated with a low-dimensional nanomaterial thin film and a bottom electrode layer using microelectronic printing technology; wherein the top electrode layer includes, but is not limited to, active metal materials such as Ag and Cu.

[0018] This invention creates a neuromorphic capacitive memory sensing element for sensing and modeling biomechanical signals in cells, which is of great significance for the fields of miniaturized cell fiber technology and functionalized neuromorphic sensitive technology. Attached Figure Description

[0019] Figure 1 This is a schematic diagram of the neuromorphic capacitive memory sensing element constructed in Embodiment 1 of the present invention.

[0020] Figure 2 This is an equivalent schematic diagram of the neuromorphic capacitive memory sensing element constructed in Embodiment 1 of the present invention. Detailed Implementation

[0021] Example 1

[0022] like Figure 1 As shown, the neuromorphic capacitive memory sensing element constructed in this invention comprises two parts: a neuromorphic sensing module and a capacitive sensing module. The neuromorphic sensing module consists of a bottom electrode layer 1, an externally connected sensing functional layer 2 formed on the bottom electrode, and a top electrode layer 3 formed on the externally connected sensing functional layer 2. The capacitive sensing module is constructed above the neuromorphic sensing module and is mainly composed of fibrous hydrogel extracellular matrix 4 and living cells 5. It achieves area fraction-mediated capacitive sensing function. Changes in capacitance cause changes in the local electric field of the externally connected sensing functional layer 2, causing interface electrons 6 to participate in the formation of conductive filaments 7 under the influence of the local electric field, generating a cell biomechanically mediated sensitive current.

[0023] Figure 1 The method for fabricating the neuromorphic capacitive memory sensing element includes the following steps:

[0024] (1) Capacitive sensing module.

[0025] a. Construct the main framework of the capacitance sensing model using fibrous hydrogel extracellular matrix.

[0026] b. Cell culture in fibrous hydrogel extracellular matrix.

[0027] c. When the biomechanical properties of cells change in fibrous hydrogels, including deformation, displacement, and passage, the area fraction of cells and fibrous molecules in the hydrogel changes, thereby altering the local capacitance and generating a response current under the influence of an electric field.

[0028] (2) Neuromorphic sensitive module.

[0029] a. Use acetone, alcohol and deionized water to ultrasonically clean the selected flexible substrate layer for 5 minutes in sequence to remove surface organic molecules and impurities; wherein the substrate layer includes, but is not limited to, flexible substrates such as PI or PET.

[0030] b. After drying the clean PI substrate with N2, the bottom electrode layer of the neuromorphic sensitive device is fabricated by microelectronic printing technology; wherein the bottom electrode layer includes, but is not limited to, inert metal materials such as carbon, gold or platinum.

[0031] An externally connected sensing functional layer was constructed on the bottom electrode layer. First, 50 µL of a two-dimensional nanomaterial solution was dropped onto a flexible substrate printed with the bottom electrode layer using a pipette, and then spin-coated at 1000 rpm / min for 20 s. After the first spin-coating operation, the substrate was annealed at 80°C for 30 min. The spin-coating and annealing process was repeated three times to form a dense two-dimensional nanomaterial film. The two-dimensional material film used was a defect-type two-dimensional material, including but not limited to MXene, MoS2, BP, WSe2, and WS2.

[0032] d. A top electrode layer is fabricated on a flexible PI substrate coated with a low-dimensional nanomaterial thin film and a bottom electrode layer using microelectronic printing technology; wherein the top electrode layer includes, but is not limited to, active metal materials such as Ag and Cu.

[0033] Example 2

[0034] like Figure 2 As shown, the equivalent circuit diagram of the neuromorphic capacitive memory sensing element in this invention consists of two parts: a capacitive sensing module and a neuromorphic sensitive module. When the biomechanical properties of cells change in the fibrous hydrogel, including deformation, displacement, and passage, the area fraction of the cells and fibrous molecules in the hydrogel changes, altering the local capacitance. This further generates a response current under the influence of an electric field, thereby regulating the output current of the neuromorphic sensitive module. This enables the detection of cellular biomechanical behavior, and finally, the biomechanical behavior is modeled by analyzing the output current.

Claims

1. A method for cell biomechanical modeling based on neuromorphic capacitive memory sensing elements, characterized in that, It consists of two parts: a capacitive sensing module and a neuromorphic sensing module. Capacitive sensing module: a. Construct the main framework of the capacitance sensing model using fibrous hydrogel extracellular matrix; b. Cell culture in fibrous hydrogel extracellular matrix; c. When the biomechanical properties of cells change in fibrous hydrogels, including deformation, displacement, passage and other behaviors, the area fraction of cells and fibrous molecules in the hydrogel changes, thereby changing the local capacitance and generating a response current under the action of an electric field. Neuromorphic sensitive module; a. Use acetone, alcohol and deionized water to ultrasonically clean the selected flexible substrate layer for 5 minutes in sequence to remove surface organic molecules and impurities, wherein the substrate layer includes, but is not limited to, flexible substrates such as PI or PET. b. After drying the clean PI substrate with N2, the bottom electrode layer of the neuromorphic sensitive device is fabricated by microelectronic printing technology. The bottom electrode layer includes, but is not limited to, inert metal materials such as carbon, gold or platinum. c. Construct an external sensing functional layer on the bottom electrode layer. Add 10-2000µL of two-dimensional nanomaterial solution to the flexible substrate printed with the bottom electrode layer using a pipette. Spin-coat at 100-3000rpm / min for 5-120s. After the first spin-coating operation, anneal at 50-120°C for 30min. Repeat the above spin-coating and annealing process three times to form a dense two-dimensional nanomaterial film. The two-dimensional material films mentioned are defect-type two-dimensional materials, including but not limited to MXene, MoS2, BP, WSe2, WS2, etc. d. A top electrode layer is fabricated on a flexible PI substrate coated with a low-dimensional nanomaterial thin film and a bottom electrode layer using microelectronic printing technology; The top electrode layer includes, but is not limited to, active metal materials such as Ag and Cu; In summary, changes in the contact area fraction between cells and fibrous molecules in the hydrogel affect local capacitance, further generating a response current under the influence of an electric field, thereby modulating the output current of the neuromorphic sensing module. This enables the detection of cellular biomechanical behavior, and finally, the biomechanical behavior is modeled by analyzing the output current.

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