Description:FIELD OF DISCLOSURE
[0001] The present disclosure generally relates to the field of food processing technology, more specifically, relates to adaptive multi-frequency ultrasound starch modification system and method thereof.
BACKGROUND OF THE DISCLOSURE
[0002] The system is continuously modifying starch by precisely controlling the amylose-amylopectin ratio, which is optimizing its functional properties such as emulsification, gelation, and retrogradation resistance. This process is ensuring superior starch performance in food, pharmaceutical, and biodegradable polymer industries. By dynamically adjusting ultrasound frequencies and hydration levels, the system is achieving a more uniform and consistent modification of starch granules, eliminating the inconsistencies observed in conventional methods.
[0003] The system is reducing energy and water consumption by up to thirty percent through real-time hydration monitoring and adaptive cavitation control. This optimized process is eliminating the need for chemical additives, ensuring a safer and environmentally friendly starch modification technique. The elimination of chemicals is significantly reducing waste production and environmental contamination, making this process more sustainable compared to traditional starch modification methods.
[0004] The adaptive ultrasound system is offering a high degree of customization for various starch sources and industrial applications, including food processing, pharmaceuticals, biodegradable packaging, and adhesives in textile and paper industries. The precise control over starch properties is allowing manufacturers to optimize product formulations, enhancing quality and performance. Additionally, the reduction in processing time and resource consumption is lowering operational costs, making this technology more economically viable for large-scale industrial applications.
[0005] Conventional starch modification techniques, including fixed-frequency ultrasound and chemical treatments, are producing inconsistent results due to the lack of real-time control over processing parameters. Fixed-frequency ultrasound systems are failing to uniformly modify starch granules, leading to uneven functional properties. Chemical modification processes are introducing variability in starch characteristics, which is affecting product quality and limiting the adaptability of starch for diverse industrial applications.
[0006] Existing starch modification methods are consuming excessive amounts of energy and water due to the reliance on prolonged processing times and inefficient cavitation control. Fixed ultrasound frequency systems are operating without real-time optimization, resulting in unnecessary energy wastage. Chemical modification processes are generating hazardous byproducts, which are contributing to environmental pollution and increasing the cost of waste management. The continued use of these resource-intensive methods is making starch modification unsustainable and economically burdensome for industries.
[0007] Traditional methods, including static ultrasound processing and chemical modifications, are failing to provide precise control over the amylose-amylopectin ratio, which is essential for achieving desired starch functionalities. The absence of real-time monitoring and adaptive tuning is causing excessive cavitation or incomplete modification, leading to suboptimal starch performance in industrial applications. This lack of precision is restricting the usability of modified starch in advanced formulations for food, pharmaceutical, and biopolymer industries
[0008] Thus, in light of the above-stated discussion, there exists a need for an adaptive multi-frequency ultrasound starch modification system and method thereof.
SUMMARY OF THE DISCLOSURE
[0009] The following is a summary description of illustrative embodiments of the invention. It is provided as a preface to assist those skilled in the art to more rapidly assimilate the detailed design discussion which ensues and is not intended in any way to limit the scope of the claims which are appended hereto in order to particularly point out the invention.
[0010] According to illustrative embodiments, the present disclosure focuses on an adaptive multi-frequency ultrasound starch modification system and method thereof which overcomes the above-mentioned disadvantages or provide the users with a useful or commercial choice.
[0011] An objective of the present disclosure is to enhance the functional properties of starch by implementing an adaptive multi-frequency ultrasound-based modification system that is optimizing cavitation effects and energy distribution.
[0012] Another objective of the present disclosure is to ensure uniform starch modification by integrating real-time hydration monitoring, which is dynamically adjusting water absorption levels before ultrasound processing.
[0013] Another objective of the present disclosure is to reduce energy and water consumption by incorporating a smart ultrasound processing system that is continuously optimizing power usage based on real-time data.
[0014] Another objective of the present disclosure is to eliminate the need for chemical additives in starch modification by using a non-thermal ultrasound-assisted technique that is ensuring food safety and environmental sustainability.
[0015] Another objective of the present disclosure is to provide precise control over the amylose-amylopectin ratio by using an adaptive ultrasound system that is fine-tuning processing parameters based on starch composition and hydration levels.
[0016] Another objective of the present disclosure is to improve the efficiency and consistency of starch modification by employing hydroacoustic sensors that are monitoring and adjusting cavitation intensity in real time.
[0017] Another objective of the present disclosure is to expand the industrial applicability of modified starch by developing a versatile processing system that is optimizing starch properties for use in food, pharmaceuticals, and biodegradable polymers.
[0018] Another objective of the present disclosure is to enhance the economic feasibility of starch modification by reducing operational costs through energy-efficient ultrasound processing and resource conservation.
[0019] Yet another objective of the present disclosure is to improve the structural integrity and stability of starch-based products by developing a controlled modification technique that is preventing over-fragmentation and degradation of starch granules.
[0020] Yet another objective of the present disclosure is to establish an eco-friendly and sustainable starch modification method by designing a system that is minimizing waste generation and optimizing resource utilization without compromising processing efficiency.
[0021] In light of the above, in one aspect of the present disclosure, an adaptive multi-frequency ultrasound starch modification system is disclosed herein. The system comprises a storage unit configured to store grains and water, the storage unit being operably connected to other functional units for controlled processing. The system includes a real-time hydration monitoring unit connected to the storage unit and being configured to dynamically monitor the hydration level of grains. The real-time hydration monitoring unit comprises a plurality of moisture absorption sensors configured to continuously detect moisture levels in the grains. The real-time hydration monitoring unit includes a microcontroller configured to process moisture absorption data from the plurality of moisture absorption sensors and adjust the grain-to-water ratio accordingly. The system also includes a multi-frequency ultrasound processing unit connected to the storage unit and being configured to apply ultrasound waves at variable frequencies to the hydrated grains for starch modification. The multi-frequency ultrasound processing unit comprises an ultrasound transducer configured to generate ultrasound waves in a frequency range of ten kilohertz to fifty kilohertz, wherein the ultrasound transducer being dynamically adjustable based on hydration levels and processing requirements. The multi-frequency ultrasound processing unit includes a frequency control module configured to regulate the operating frequency of the ultrasound transducer in response to hydration data and cavitation feedback to ensure optimal cavitation and starch modification. The system also includes an adaptive cavitation control unit connected to the storage unit and being configured to regulate cavitation intensity during ultrasound processing. The adaptive cavitation control unit comprises a hydroacoustic sensor configured to detect cavitation bubble formation and provide feedback to maintain uniform energy distribution. The system also includes a functional property enhancement unit connected to the storage unit and the multi-frequency ultrasound processing unit and being configured to selectively modify starch properties such as emulsification, gelation, and retrogradation resistance based on ultrasound-induced structural changes in amylose and amylopectin. The system also includes a processing unit connected to the real-time hydration monitoring unit, the multi-frequency ultrasound processing unit, the adaptive cavitation control unit, and the functional property enhancement unit and being configured to synchronize operations across all units, dynamically adjust ultrasound parameters, and optimize starch modification based on real-time feedback from sensors and controllers. The system also includes a power and resource optimization unit connected to the multi-frequency ultrasound processing unit the adaptive cavitation control unit and being configured to reduce energy and water consumption while maintaining optimal starch modification efficiency. The power and resource optimization unit comprises a plurality of energy efficiency controllers configured to regulate power consumption by optimizing ultrasound power levels and hydration cycles, thereby achieving at least thirty percent reduction in resource usage compared to conventional methods. The system also includes a user interface connected to the multi-frequency ultrasound processing unit, the adaptive cavitation control unit, and the processing unit, and being configured to allow an operator to monitor system performance, input operational parameters, and receive alerts or recommendations based on real-time starch modification data.
[0022] In one embodiment, the processing unit further comprises an enzymatic activation module configured to selectively activate or deactivate endogenous enzymes within the starch matrix through controlled ultrasound exposure, thereby enabling enzymatic modification without the need for external additives.
[0023] In one embodiment, the processing unit is further configured to implement an adaptive machine learning algorithm that continuously analyses hydration patterns, ultrasound frequency response, and cavitation efficiency to autonomously optimize starch modification parameters in real-time for different grain types.
[0024] In one embodiment, the user interface further comprises a remote-access capability integrated with a cloud-based analytics system, allowing operators to monitor, control, and receive predictive maintenance alerts for the starch modification process from any location via an internet-connected device.
[0025] In one embodiment, the storage unit is further configured to maintain controlled environmental conditions such as temperature and humidity to enhance hydration efficiency and starch modification outcomes.
[0026] In one embodiment, the plurality of moisture absorption sensors in the real-time hydration monitoring unit are positioned at different depths within the storage unit to ensure uniform moisture distribution assessment across the grain batch.
[0027] In one embodiment, the microcontroller of the real-time hydration monitoring unit is further configured to generate real-time alerts when moisture levels deviate beyond predefined thresholds, ensuring precise hydration control.
[0028] In one embodiment, the ultrasound transducer of the multi-frequency ultrasound processing unit is configured to operate in pulse mode or continuous mode based on the hydration level and cavitation feedback received from the adaptive cavitation control unit.
[0029] In one embodiment, the frequency control module of the multi-frequency ultrasound processing unit is further configured to dynamically adjust the frequency output in a stepwise manner to prevent structural damage to starch granules while achieving optimal modification.
[0030] In light of the above, in one aspect of the present disclosure, a method for multi-frequency ultrasound-based adaptive starch modification is disclosed herein. The method comprising detecting moisture levels of grains stored in a storage unit using a plurality of moisture absorption sensors. The method includes adjusting the grain-to-water ratio within a predefined range and processing moisture absorption data using a microcontroller. The method also includes applying ultrasound waves at variable frequencies between ten kilohertz and fifty kilohertz using an ultrasound transducer connected to the storage unit. The method also includes regulating the operating frequency of the ultrasound transducer using a frequency control module. The method also includes detecting cavitation bubble formation using a hydroacoustic sensor. The method also includes adjusting ultrasound power and intensity based on cavitation feedback to ensure uniform energy distribution within the hydrated grains by an adaptive cavitation control unit. The method also includes modifying starch structural properties by selectively altering amylose-amylopectin interactions using controlled cavitation energy via the functional property enhancement unit being connected to the multi-frequency ultrasound processing unit and the adaptive cavitation control unit. The method also includes enhancing starch emulsification, gelation, and retrogradation resistance by optimizing starch granule restructuring without the use of chemical additives. The method also includes optimizing ultrasound parameters dynamically based on real-time sensor feedback via a processing unit. The method also includes reducing energy and water consumption by at least thirty percent using a power and resource optimization unit. The method also includes allowing an operator to monitor real-time system performance, input operational parameters, and receive alerts or recommendations using a user interface.
[0031] These and other advantages will be apparent from the present application of the embodiments described herein.
[0032] The preceding is a simplified summary to provide an understanding of some embodiments of the present invention. This summary is neither an extensive nor exhaustive overview of the present invention and its various embodiments. The summary presents selected concepts of the embodiments of the present invention in a simplified form as an introduction to the more detailed description presented below. As will be appreciated, other embodiments of the present invention are possible utilizing, alone or in combination, one or more of the features set forth above or described in detail below.
[0033] These elements, together with the other aspects of the present disclosure and various features are pointed out with particularity in the claims annexed hereto and form a part of the present disclosure. For a better understanding of the present disclosure, its operating advantages, and the specified object attained by its uses, reference should be made to the accompanying drawings and descriptive matter in which there are illustrated exemplary embodiments of the present disclosure.
BRIEF DESCRIPTION OF THE DRAWINGS
[0034] To describe the technical solutions in the embodiments of the present disclosure or in the prior art more clearly, the following briefly describes the accompanying drawings required for describing the embodiments or the prior art. Apparently, the accompanying drawings in the following description merely show some embodiments of the present disclosure, and a person of ordinary skill in the art can derive other implementations from these accompanying drawings without creative efforts. All of the embodiments or the implementations shall fall within the protection scope of the present disclosure.
[0035] The advantages and features of the present disclosure will become better understood with reference to the following detailed description taken in conjunction with the accompanying drawing, in which:
[0036] FIG. 1 illustrates a block diagram of an adaptive multi-frequency ultrasound starch modification system and method thereof, in accordance with an exemplary embodiment of the present disclosure;
[0037] FIG. 2 illustrates a flowchart of an adaptive multi-frequency ultrasound starch modification system, in accordance with an exemplary embodiment of the present disclosure;
[0038] FIG. 3 illustrates a flowchart of a method for multi-frequency ultrasound starch modification, in accordance with an exemplary embodiment of the present disclosure.
[0039] Like reference, numerals refer to like parts throughout the description of several views of the drawing.
[0040] The adaptive multi-frequency ultrasound starch modification system and method thereof is illustrated in the accompanying drawings, which like reference letters indicate corresponding parts in the various figures. It should be noted that the accompanying figure is intended to present illustrations of exemplary embodiments of the present disclosure. This figure is not intended to limit the scope of the present disclosure. It should also be noted that the accompanying figure is not necessarily drawn to scale.
DETAILED DESCRIPTION OF THE DISCLOSURE
[0041] The following is a detailed description of embodiments of the disclosure depicted in the accompanying drawings. The embodiments are in such detail as to communicate the disclosure. However, the amount of detail offered is not intended to limit the anticipated variations of embodiments; on the contrary, the intention is to cover all modifications, equivalents, and alternatives falling within the spirit and scope of the present disclosure.
[0042] In the following description, numerous specific details are set forth in order to provide a thorough understanding of the embodiments of the present disclosure. It may be apparent to one skilled in the art that embodiments of the present disclosure may be practiced without some of these specific details.
[0043] Various terms as used herein are shown below. To the extent a term is used, it should be given the broadest definition persons in the pertinent art have given that term as reflected in printed publications and issued patents at the time of filing.
[0044] The terms “a” and “an” herein do not denote a limitation of quantity, but rather denote the presence of at least one of the referenced items.
[0045] The terms “having”, “comprising”, “including”, and variations thereof signify the presence of a component.
[0046] Referring now to FIG. 1 to FIG. 3 to describe various exemplary embodiments of the present disclosure. FIG. 1 illustrates a perspective view of an adaptive multi-frequency ultrasound starch modification system and method thereof 100, in accordance with an exemplary embodiment of the present disclosure.
[0047] The system 100 may include a storage unit 102 configured to store grains and water, the storage unit 102 being operably connected to other functional units for controlled processing, a real-time hydration monitoring unit 104 connected to the storage unit 102 and being configured to dynamically monitor the hydration level of grains, wherein the real-time hydration monitoring unit 104 comprises, a plurality of moisture absorption sensors 106 configured to continuously detect moisture levels in the grains, a microcontroller 108 configured to process moisture absorption data from the plurality of moisture absorption sensors 106 and adjust the grain-to-water ratio accordingly, a multi-frequency ultrasound processing unit 110 connected to the storage unit 102 and being configured to apply ultrasound waves at variable frequencies to the hydrated grains for starch modification, wherein the multi-frequency ultrasound processing unit 110 comprises, an ultrasound transducer 112 configured to generate ultrasound waves in a frequency range of ten kilohertz to fifty kilohertz, wherein the ultrasound transducer 112 being dynamically adjustable based on hydration levels and processing requirements, a frequency control module 114 configured to regulate the operating frequency of the ultrasound transducer 112 in response to hydration data and cavitation feedback to ensure optimal cavitation and starch modification, an adaptive cavitation control unit 116 connected to the storage unit 102 and being configured to regulate cavitation intensity during ultrasound processing, wherein the adaptive cavitation control unit 116 comprises, a hydroacoustic sensor 118 configured to detect cavitation bubble formation and provide feedback to maintain uniform energy distribution, a functional property enhancement unit 120 connected to the storage unit 102 and the multi-frequency ultrasound processing unit 110 and being configured to selectively modify starch properties such as emulsification, gelation, and retrogradation resistance based on ultrasound-induced structural changes in amylose and amylopectin, a processing unit 122 connected to the real-time hydration monitoring unit 104, the multi-frequency ultrasound processing unit 110, the adaptive cavitation control unit 116, and the functional property enhancement unit 120 and being configured to synchronize operations across all units, dynamically adjust ultrasound parameters, and optimize starch modification based on real-time feedback from sensors and controllers, a power and resource optimization unit 124 connected to the multi-frequency ultrasound processing unit 110 and the adaptive cavitation control unit 116 and being configured to reduce energy and water consumption while maintaining optimal starch modification efficiency, wherein the power and resource optimization unit 124 comprises, a plurality of energy efficiency controllers 126 configured to regulate power consumption by optimizing ultrasound power levels and hydration cycles, thereby achieving at least thirty percent reduction in resource usage compared to conventional methods, a user interface 128 connected to the multi-frequency ultrasound processing unit 110, the adaptive cavitation control unit 116 and the processing unit 122, and being configured to allow an operator to monitor system performance, input operational parameters, and receive alerts or recommendations based on real-time starch modification data.
[0048] The processing unit 122 further comprises an enzymatic activation module configured to selectively activate or deactivate endogenous enzymes within the starch matrix through controlled ultrasound exposure, thereby enabling enzymatic modification without the need for external additives.
[0049] The processing unit 122 is further configured to implement an adaptive machine learning algorithm that continuously analyses hydration patterns, ultrasound frequency response, and cavitation efficiency to autonomously optimize starch modification parameters in real-time for different grain types.
[0050] The user interface 128 further comprises a remote-access capability integrated with a cloud-based analytics system, allowing operators to monitor, control, and receive predictive maintenance alerts for the starch modification process from any location via an internet-connected device.
[0051] The storage unit 102 is further configured to maintain controlled environmental conditions such as temperature and humidity to enhance hydration efficiency and starch modification outcomes.
[0052] The plurality of moisture absorption sensors 106 in the real-time hydration monitoring unit 104 are positioned at different depths within the storage unit 102 to ensure uniform moisture distribution assessment across the grain batch.
[0053] The microcontroller 108 of the real-time hydration monitoring unit 104 is further configured to generate real-time alerts when moisture levels deviate beyond predefined thresholds, ensuring precise hydration control.
[0054] The ultrasound transducer 112 of the multi-frequency ultrasound processing unit 110 is configured to operate in pulse mode or continuous mode based on the hydration level and cavitation feedback received from the adaptive cavitation control unit 116.
[0055] The frequency control module 114 of the multi-frequency ultrasound processing unit 110 is further configured to dynamically adjust the frequency output in a stepwise manner to prevent structural damage to starch granules while achieving optimal modification.
[0056] The method 100 may include detecting moisture levels of grains stored in a storage unit 102 using a plurality of moisture absorption sensors 106, adjusting the grain-to-water ratio within a predefined range and processing moisture absorption data using a microcontroller 108, applying ultrasound waves at variable frequencies between ten kilohertz and fifty kilohertz using an ultrasound transducer 112 connected to the storage unit 102, regulating the operating frequency of the ultrasound transducer 112 using a frequency control module 114, detecting cavitation bubble formation using a hydroacoustic sensor 118, adjusting ultrasound power and intensity based on cavitation feedback to ensure uniform energy distribution within the hydrated grains by an adaptive cavitation control unit 116, modifying starch structural properties by selectively altering amylose-amylopectin interactions using controlled cavitation energy via the functional property enhancement unit 120 being connected to the multi-frequency ultrasound processing unit 110 and the adaptive cavitation control unit 116, enhancing starch emulsification, gelation, and retrogradation resistance by optimizing starch granule restructuring without the use of chemical additives, optimizing ultrasound parameters dynamically based on real-time sensor feedback via a processing unit 122, reducing energy and water consumption by at least thirty percent using a power and resource optimization unit 124, allowing an operator to monitor real-time system performance, input operational parameters, and receive alerts or recommendations using a user interface 128.
[0057] The storage unit 102 stores grains and water and remains operably connected to all functional units to facilitate controlled processing. The storage unit 102 maintains an optimized environment for starch modification by ensuring precise hydration conditions. The storage unit 102 is designed to maintain controlled temperature and humidity conditions to enhance hydration efficiency and starch modification outcomes. The storage unit 102 serves as the primary interface for the movement of grains and water within the multi-frequency ultrasound-based adaptive starch modification system 100. The storage unit 102 allows continuous monitoring and optimization of hydration levels before initiating the ultrasound-based modification process.
[0058] The real-time hydration monitoring unit 104 is connected to the storage unit 102 and dynamically monitors hydration levels in grains to ensure an optimal grain-to-water ratio. The real-time hydration monitoring unit 104 continuously assesses hydration levels using multiple integrated sensors to avoid under- or over-hydration. The real-time hydration monitoring unit 104 enables automatic adjustments to the hydration process to optimize grain conditions before ultrasound processing. The real-time hydration monitoring unit 104 ensures uniform hydration distribution across grain batches to maintain consistency in starch modification. The real-time hydration monitoring unit 104 enables precision control in hydration profiling, ensuring optimal pre-treatment before ultrasound exposure.
[0059] The plurality of moisture absorption sensors 106 is integrated into the real-time hydration monitoring unit 104 and positioned at different depths within the storage unit 102. The plurality of moisture absorption sensors 106 continuously detects moisture levels in grains to provide real-time hydration data. The plurality of moisture absorption sensors 106 ensures even moisture distribution across grain batches, preventing inconsistencies in hydration levels. The plurality of moisture absorption sensors 106 enables enhanced hydration assessment to maintain the correct water-to-grain ratio before ultrasound processing. The plurality of moisture absorption sensors 106 generates real-time alerts if hydration levels exceed predefined thresholds, ensuring precise hydration control.
[0060] The microcontroller 108 is connected to the plurality of moisture absorption sensors 106 and processes the real-time moisture absorption data to dynamically adjust the grain-to-water ratio. The microcontroller 108 ensures that hydration adjustments remain within optimal predefined ranges to prevent over-hydration or insufficient moisture absorption. The microcontroller 108 analyses hydration patterns and communicates with other functional units to ensure real-time synchronization of the starch modification process. The microcontroller 108 integrates real-time processing feedback to optimize ultrasound exposure and prevent structural degradation of starch granules. The microcontroller 108 enhances operational efficiency by continuously monitoring hydration parameters and adjusting processing conditions to achieve optimal starch functionality.
[0061] The multi-frequency ultrasound processing unit 110 is connected to the storage unit 102 and applies ultrasound waves at variable frequencies to hydrated grains for starch modification. The multi-frequency ultrasound processing unit 110 generates ultrasound waves at dynamically adjustable frequencies between ten kilohertz and fifty kilohertz based on grain type and hydration levels. The multi-frequency ultrasound processing unit 110 optimizes cavitation effects to modify starch granules without over-fragmentation. The multi-frequency ultrasound processing unit 110 enhances starch structural properties by precisely controlling amylose-amylopectin interactions. The multi-frequency ultrasound processing unit 110 minimizes processing variability by continuously adjusting ultrasound parameters based on real-time hydration data.
[0062] The ultrasound transducer 112 is part of the multi-frequency ultrasound processing unit 110 and generates ultrasound waves across the ten kilohertz to fifty kilohertz range. The ultrasound transducer 112 dynamically adjusts its output based on hydration levels and processing requirements. The ultrasound transducer 112 ensures uniform ultrasound energy distribution to prevent excessive cavitation and structural degradation. The ultrasound transducer 112 facilitates controlled starch modification by optimizing cavitation intensity at different frequency levels. The ultrasound transducer 112 enhances starch functional properties by selectively modifying the amylose-amylopectin structure through targeted cavitation effects.
[0063] The frequency control module 114 is integrated into the multi-frequency ultrasound processing unit 110 and regulates the operating frequency of the ultrasound transducer 112. The frequency control module 114 dynamically adjusts ultrasound frequencies in response to hydration data and cavitation feedback. The frequency control module 114 optimizes ultrasound exposure to prevent excessive starch granule fragmentation while ensuring effective modification. The frequency control module 114 continuously adapts processing parameters to maximize starch functionalization without chemical additives. The frequency control module 114 enhances process efficiency by maintaining optimal ultrasound frequency distribution for diverse grain types.
[0064] The adaptive cavitation control unit 116 is connected to the storage unit 102 and regulates cavitation intensity during ultrasound processing. The adaptive cavitation control unit 116 ensures uniform energy distribution by continuously monitoring cavitation bubble formation. The adaptive cavitation control unit 116 optimizes ultrasound-induced cavitation to enhance starch modification while preventing excessive grain surface degradation. The adaptive cavitation control unit 116 enables precise cavitation control to achieve targeted amylose-amylopectin restructuring. The adaptive cavitation control unit 116 enhances starch emulsification, gelation, and retrogradation resistance by modulating cavitation intensity in real-time.
[0065] The hydroacoustic sensor 118 is integrated into the adaptive cavitation control unit 116 and detects cavitation bubble formation during ultrasound processing. The hydroacoustic sensor 118 provides real-time feedback to maintain uniform energy distribution within the hydrated grains. The hydroacoustic sensor 118 optimizes ultrasound-induced cavitation to achieve controlled starch modification. The hydroacoustic sensor 118 prevents structural degradation of starch granules by regulating cavitation intensity. The hydroacoustic sensor 118 enhances process reliability by continuously monitoring cavitation effects and ensuring precise starch functionality control.
[0066] The functional property enhancement unit 120 is connected to the storage unit 102 and the multi-frequency ultrasound processing unit 110. The functional property enhancement unit 120 is configured to selectively modify starch properties such as emulsification, gelation, and retrogradation resistance based on ultrasound-induced structural changes in amylose and amylopectin. The functional property enhancement unit 120 utilizes precise cavitation control from the adaptive cavitation control unit 116 to restructure starch granules without over-fragmentation. The functional property enhancement unit 120 actively monitors changes in starch molecular interactions during ultrasound exposure, ensuring that the structural modifications optimize starch performance across multiple industrial applications. The functional property enhancement unit 120 eliminates the need for chemical additives while improving functional properties, making the starch more suitable for food, pharmaceutical, and biodegradable polymer industries. The functional property enhancement unit 120 ensures uniformity in starch modification outcomes, enhancing product consistency and quality across different processing batches.
[0067] The processing unit 122 is connected to the real-time hydration monitoring unit 104, the multi-frequency ultrasound processing unit 110, the adaptive cavitation control unit 116, and the functional property enhancement unit 120. The processing unit 122 is configured to synchronize operations across all units, dynamically adjust ultrasound parameters, and optimize starch modification based on real-time feedback from sensors and controllers. The processing unit 122 actively manages moisture absorption data from the microcontroller 108, ultrasound frequency control from the frequency control module 114, and cavitation regulation from the adaptive cavitation control unit 116. The processing unit 122 implements an adaptive machine learning algorithm that continuously analyses hydration patterns, ultrasound frequency response, and cavitation efficiency to autonomously optimize starch modification parameters in real-time for different grain types. The processing unit 122 ensures that all components operate in a coordinated manner, maintaining optimal conditions for starch modification and preventing inefficiencies that could compromise starch quality or system performance.
[0068] The power and resource optimization unit 124 is connected to the multi-frequency ultrasound processing unit 110 and the adaptive cavitation control unit 116. The power and resource optimization unit 124 is configured to reduce energy and water consumption while maintaining optimal starch modification efficiency. The power and resource optimization unit 124 comprises a plurality of energy efficiency controllers 126 that regulate power consumption by optimizing ultrasound power levels and hydration cycles. The power and resource optimization unit 124 achieves at least a thirty percent reduction in resource usage compared to conventional methods by continuously monitoring energy expenditure and dynamically adjusting ultrasound power settings. The power and resource optimization unit 124 ensures that the system remains environmentally sustainable and economically viable by preventing excessive power usage, reducing processing costs, and minimizing water wastage. The power and resource optimization unit 124 enhances the overall efficiency of starch modification without compromising functional property enhancement or structural integrity.
[0069] The user interface 128 is connected to the multi-frequency ultrasound processing unit 110, the adaptive cavitation control unit 116, and the processing unit 122. The user interface 128 is configured to allow an operator to monitor system performance, input operational parameters, and receive alerts or recommendations based on real-time starch modification data. The user interface 128 provides an intuitive and interactive platform that enables operators to control various aspects of the starch modification process, ensuring precise adjustments based on specific industrial requirements. The user interface 128 further comprises a remote-access capability integrated with a cloud-based analytics system, allowing operators to monitor, control, and receive predictive maintenance alerts for the starch modification process from any location via an internet-connected device. The user interface 128 ensures that all operational parameters are easily adjustable, facilitating efficient process customization while maintaining optimal system functionality. The user interface 128 improves process transparency, enabling seamless integration of real-time data analytics with operational decision-making.
[0070] In one embodiment, the system 100 further incorporates an intelligent grain classification module within the processing unit 122, which identifies the type of grain being processed and automatically adjusts ultrasound parameters, including frequency, intensity, and hydration settings. This ensures optimal starch modification for different grain varieties, accounting for variations in amylose-amylopectin ratios and structural integrity. The classification module operates using a combination of image processing and spectral analysis, thereby enhancing the adaptability of the system across diverse industrial applications.
[0071] In one embodiment, the real-time hydration monitoring unit 104 is further configured to assess the hydration kinetics of grains over time, utilizing advanced moisture diffusion modelling. The microcontroller 108 processes hydration curve data to predict the optimal soaking duration and ultrasound exposure time, thereby preventing over-processing or insufficient hydration. This ensures that starch modification is conducted under ideal conditions, improving consistency and reducing variability in functional properties.
[0072] In one embodiment, the system 100 includes an integrated turbulence regulation mechanism within the multi-frequency ultrasound processing unit 110. This mechanism strategically controls the fluid flow patterns within the storage unit 102, ensuring uniform distribution of cavitation energy throughout the grain matrix. By dynamically adjusting the orientation of ultrasound waves and regulating hydrodynamic flow, the system prevents localized over-processing, thereby maintaining the integrity of starch granules and enhancing the efficiency of modification.
[0073] In one embodiment, the adaptive cavitation control unit 116 is further designed to monitor and regulate microbubble collapse dynamics using a predictive cavitation modelling algorithm. By analysing hydroacoustic sensor 118 feedback, the system anticipates cavitation thresholds and adjusts the frequency control module 114 in real-time, ensuring precise structural modification of starch granules without causing excessive fragmentation. This feature optimizes the balance between cavitation intensity and structural preservation, resulting in enhanced gelation, emulsification, and retrogradation resistance of the modified starch.
[0074] In one embodiment, the user interface 128 is integrated with an artificial intelligence-driven optimization assistant that provides real-time recommendations to the operator based on system performance metrics. These assistant analyses historical data and current operational parameters to suggest adjustments in ultrasound frequency, hydration levels, and cavitation intensity, ensuring continuous process improvement. The artificial intelligence-driven assistant enhances user accessibility and reduces the reliance on manual adjustments, making the system more efficient and user-friendly.
[0075] In one embodiment, the system 100 integrates a secondary post-treatment ultrasound module that applies controlled low-frequency waves after the primary starch modification process. This post-treatment step stabilizes the modified starch structure, improving its resistance to retrogradation and extending its shelf life. Unlike conventional post-processing methods that rely on chemical stabilization, this ultrasound-based approach ensures a completely green and sustainable starch modification process.
[0076] In one embodiment, the system 100 incorporates a smart predictive maintenance module that continuously monitors component wear and ultrasound transducer efficiency. The system 100 detects early signs of degradation in transducer 112 performance or irregularities in hydroacoustic sensor 118 readings, prompting pre-emptive maintenance actions to prevent unexpected failures. This predictive approach significantly enhances the reliability and longevity of the system, reducing operational downtime.
[0077] In one embodiment, the system 100 is equipped with a hybrid cavitation-assisted enzymatic activation unit, where controlled ultrasound exposure is used to selectively activate endogenous starch-modifying enzymes within grains. By precisely modulating ultrasound energy, the system enhances enzymatic hydrolysis without requiring external enzyme supplementation. This novel approach allows for dual-action starch modification—combining ultrasound-induced structural changes with enzymatic alterations—to achieve highly customized functional properties suitable for food, pharmaceutical, and biodegradable polymer applications.
[0078] FIG. 2 illustrates a flowchart of an adaptive multi-frequency ultrasound starch modification system, in accordance with an exemplary embodiment of the present disclosure.
[0079] At 202, grains and water are initially loaded into the storage unit, setting the stage for the starch modification process.
[0080] At 204, moisture sensors continuously measure the grain hydration levels in real-time, providing feedback to the system.
[0081] At 206, the microcontroller processes the data from the moisture sensors and automatically adjusts the grain-to-water ratio as needed, ensuring optimal hydration for the ultrasound treatment.
[0082] At 208, the ultrasound transducer applies ultrasound waves in the frequency range of 10-50 kilohertz to the hydrated grains, initiating the starch modification process.
[0083] At 210, the frequency control module dynamically adjusts the ultrasound frequency based on real-time hydration and cavitation feedback, ensuring efficient and targeted energy delivery.
[0084] At 212, hydroacoustic sensors monitor cavitation bubble formation, and the system adjusts ultrasound parameters to maintain uniform energy distribution, preventing grain damage and ensuring even starch modification.
[0085] At 214, the ultrasound waves induce structural changes in amylose and amylopectin within the starch granules, modifying properties like emulsification, gelation, and retrogradation resistance.
[0086] At 216, the processing unit synchronizes operations across all units and dynamically adjusts parameters based on sensor feedback, ensuring optimal and consistent starch modification.
[0087] At 218, energy efficiency controllers regulate power consumption and hydration cycles to reduce water and energy usage, achieving at least a 30% reduction compared to conventional methods.
[0088] At 220, the user interface displays system performance data and allows operators to input parameters, receiving alerts and recommendations based on real-time starch modification data.
[0089] FIG. 3 illustrates a flowchart of a method for multi-frequency ultrasound starch modification, in accordance with an exemplary embodiment of the present disclosure.
[0090] At 302, detect moisture levels of grains stored in a storage unit using a plurality of moisture absorption sensors.
[0091] At 304, adjust the grain-to-water ratio within a predefined range and processing moisture absorption data using a microcontroller.
[0092] At 306, apply ultrasound waves at variable frequencies between ten kilohertz and fifty kilohertz using an ultrasound transducer connected to the storage unit.
[0093] At 308, regulate the operating frequency of the ultrasound transducer using a frequency control module.
[0094] At 310, detect cavitation bubble formation using a hydroacoustic sensor.
[0095] At 312, adjust ultrasound power and intensity based on cavitation feedback to ensure uniform energy distribution within the hydrated grains by an adaptive cavitation control unit.
[0096] At 314, modify starch structural properties by selectively altering amylose-amylopectin interactions using controlled cavitation energy via the functional property enhancement unit being connected to the multi-frequency ultrasound processing unit and the adaptive cavitation control unit.
[0097] At 316, enhance starch emulsification, gelation, and retrogradation resistance by optimizing starch granule restructuring without the use of chemical additives.
[0098] At 318, optimize ultrasound parameters dynamically based on real-time sensor feedback via a processing unit.
[0099] At 320, reduce energy and water consumption by at least thirty percent using a power and resource optimization unit.
[0100] At 322, allow an operator to monitor real-time system performance, input operational parameters, and receive alerts or recommendations using a user interface.
[0101] The best mode of operation of the multi-frequency ultrasound-based adaptive starch modification system begins with grains being stored in the storage unit 102, where the real-time hydration monitoring unit 104 continuously detects moisture levels using a plurality of moisture absorption sensors 106. The microcontroller 108 processes this data and dynamically adjusts the grain-to-water ratio for optimal hydration. Once hydrated, the grains are subjected to ultrasound waves generated by the ultrasound transducer 112 within the multi-frequency ultrasound processing unit 110, operating between ten kilohertz and fifty kilohertz. The frequency control module 114 dynamically regulates the ultrasound transducer 112 based on hydration data and cavitation feedback. The adaptive cavitation control unit 116, equipped with a hydroacoustic sensor 118, monitors cavitation bubble formation to ensure uniform energy distribution. The functional property enhancement unit 120 selectively modifies the starch structure by altering amylose-amylopectin interactions, improving emulsification, gelation, and retrogradation resistance. The processing unit 122 synchronizes all components, while the power and resource optimization unit 124 reduces energy and water consumption by at least thirty percent. The user interface 128 allows operators to monitor performance and adjust parameters.
[0102] While the invention has been described in connection with what is presently considered to be the most practical and various embodiments, it will be understood that the invention is not to be limited to the disclosed embodiments, but on the contrary, is intended to cover various modifications and equivalent arrangements included within the scope of the appended claims.
[0103] A person of ordinary skill in the art may be aware that, in combination with the examples described in the embodiments disclosed in this specification, units and algorithm steps may be implemented by electronic hardware, computer software, or a combination thereof.
[0104] The foregoing descriptions of specific embodiments of the present disclosure have been presented for purposes of illustration and description. They are not intended to be exhaustive or to limit the present disclosure to the precise forms disclosed, and many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described to best explain the principles of the present disclosure and its practical application, and to thereby enable others skilled in the art to best utilize the present disclosure and various embodiments with various modifications as are suited to the particular use contemplated. It is understood that various omissions and substitutions of equivalents are contemplated as circumstances may suggest or render expedient, but such omissions and substitutions are intended to cover the application or implementation without departing from the scope of the present disclosure.
[0105] Disjunctive language such as the phrase “at least one of X, Y, Z,” unless specifically stated otherwise, is otherwise understood with the context as used in general to present that an item, term, etc., may be either X, Y, or Z, or any combination thereof (e.g., X, Y, and/or Z). Thus, such disjunctive language is not generally intended to, and should not, imply that certain embodiments require at least one of X, at least one of Y, or at least one of Z to each be present.
[0106] In a case that no conflict occurs, the embodiments in the present disclosure and the features in the embodiments may be mutually combined. The foregoing descriptions are merely specific implementations of the present disclosure, but are not intended to limit the protection scope of the present disclosure. Any variation or replacement readily figured out by a person skilled in the art within the technical scope disclosed in the present disclosure shall fall within the protection scope of the present disclosure. Therefore, the protection scope of the present disclosure shall be subject to the protection scope of the claims.
, Claims:I/We Claim:
1. A multi-frequency ultrasound-based adaptive starch modification system (100), the system (100) comprises:
a storage unit (102) configured to store grains and water, the storage unit (102) being operably connected to other functional units for controlled processing;
a real-time hydration monitoring unit (104) connected to the storage unit (102) and being configured to dynamically monitor the hydration level of grains, wherein the real-time hydration monitoring unit (104) comprises:
a plurality of moisture absorption sensors (106) configured to continuously detect moisture levels in the grains;
a microcontroller (108) configured to process moisture absorption data from the plurality of moisture absorption sensors (106) and adjust the grain-to-water ratio accordingly;
a multi-frequency ultrasound processing unit (110) connected to the storage unit (102) and being configured to apply ultrasound waves at variable frequencies to the hydrated grains for starch modification, wherein the multi-frequency ultrasound processing unit (110) comprises:
an ultrasound transducer (112) configured to generate ultrasound waves in a frequency range of ten kilohertz to fifty kilohertz, wherein the ultrasound transducer (112) being dynamically adjustable based on hydration levels and processing requirements;
a frequency control module (114) configured to regulate the operating frequency of the ultrasound transducer (112) in response to hydration data and cavitation feedback to ensure optimal cavitation and starch modification;
an adaptive cavitation control unit (116) connected to the storage unit (102) and being configured to regulate cavitation intensity during ultrasound processing, wherein the adaptive cavitation control unit (116) comprises:
a hydroacoustic sensor (118) configured to detect cavitation bubble formation and provide feedback to maintain uniform energy distribution;
a functional property enhancement unit (120) connected to the storage unit (102) and the multi-frequency ultrasound processing unit (110) and being configured to selectively modify starch properties such as emulsification, gelation, and retrogradation resistance based on ultrasound-induced structural changes in amylose and amylopectin;
a processing unit (122) connected to the real-time hydration monitoring unit (104), the multi-frequency ultrasound processing unit (110), the adaptive cavitation control unit (116), and the functional property enhancement unit (120) and being configured to synchronize operations across all units, dynamically adjust ultrasound parameters, and optimize starch modification based on real-time feedback from sensors and controllers;
a power and resource optimization unit (124) connected to the multi-frequency ultrasound processing unit (110) and the adaptive cavitation control unit (116) and being configured to reduce energy and water consumption while maintaining optimal starch modification efficiency, wherein the power and resource optimization unit (124) comprises:
a plurality of energy efficiency controllers (126) configured to regulate power consumption by optimizing ultrasound power levels and hydration cycles, thereby achieving at least thirty percent reduction in resource usage compared to conventional methods;
a user interface (128) connected to the multi-frequency ultrasound processing unit (110), the adaptive cavitation control unit (116) and the processing unit (122), and being configured to allow an operator to monitor system performance, input operational parameters, and receive alerts or recommendations based on real-time starch modification data;
2. The system (100) as claimed in claim 1, wherein the processing unit (122) further comprises an enzymatic activation module configured to selectively activate or deactivate endogenous enzymes within the starch matrix through controlled ultrasound exposure, thereby enabling enzymatic modification without the need for external additives.
3. The system (100) as claimed in claim 1, wherein the processing unit (122) is further configured to implement an adaptive machine learning algorithm that continuously analyses hydration patterns, ultrasound frequency response, and cavitation efficiency to autonomously optimize starch modification parameters in real-time for different grain types.
4. The system (100) as claimed in claim 1, wherein the user interface (128) further comprises a remote-access capability integrated with a cloud-based analytics system, allowing operators to monitor, control, and receive predictive maintenance alerts for the starch modification process from any location via an internet-connected device.
5. The system (100) as claimed in claim 1, wherein the storage unit (102) is further configured to maintain controlled environmental conditions such as temperature and humidity to enhance hydration efficiency and starch modification outcomes.
6. The system (100) as claimed in claim 1, wherein the plurality of moisture absorption sensors (106) in the real-time hydration monitoring unit (104) are positioned at different depths within the storage unit (102) to ensure uniform moisture distribution assessment across the grain batch.
7. The system (100) as claimed in claim 1, wherein the microcontroller (108) of the real-time hydration monitoring unit (104) is further configured to generate real-time alerts when moisture levels deviate beyond predefined thresholds, ensuring precise hydration control.
8. The system (100) claimed in claim 1, wherein the ultrasound transducer (112) of the multi-frequency ultrasound processing unit (110) is configured to operate in pulse mode or continuous mode based on the hydration level and cavitation feedback received from the adaptive cavitation control unit (116).
9. The system (100) as claimed in claim 1, wherein the frequency control module (114) of the multi-frequency ultrasound processing unit (110) is further configured to dynamically adjust the frequency output in a stepwise manner to prevent structural damage to starch granules while achieving optimal modification.
10. A method for multi-frequency ultrasound-based adaptive starch modification (100), the method (100) comprising:
detecting moisture levels of grains stored in a storage unit (102) using a plurality of moisture absorption sensors (106);
adjusting the grain-to-water ratio within a predefined range and processing moisture absorption data using a microcontroller (108);
applying ultrasound waves at variable frequencies between ten kilohertz and fifty kilohertz using an ultrasound transducer (112) connected to the storage unit (102);
regulating the operating frequency of the ultrasound transducer (112) using a frequency control module (114);
detecting cavitation bubble formation using a hydroacoustic sensor (118);
adjusting ultrasound power and intensity based on cavitation feedback to ensure uniform energy distribution within the hydrated grains by an adaptive cavitation control unit (116);
modifying starch structural properties by selectively altering amylose-amylopectin interactions using controlled cavitation energy via the functional property enhancement unit (120) being connected to the multi-frequency ultrasound processing unit (110) and the adaptive cavitation control unit (116);
enhancing starch emulsification, gelation, and retrogradation resistance by optimizing starch granule restructuring without the use of chemical additives;
optimizing ultrasound parameters dynamically based on real-time sensor feedback via a processing unit (122);
reducing energy and water consumption by at least thirty percent using a power and resource optimization unit (124);
allowing an operator to monitor real-time system performance, input operational parameters, and receive alerts or recommendations using a user interface (128).