A disposable MEMS biosensor for aflatoxin M1 molecule detection

Erdil, Kuter; Akcan, O. Gokalp; Gül, Özgür; Gökdel, Y. Dağhan

doi:10.1016/j.sna.2022.113438

Cited by 6 publications

(5 citation statements)

References 25 publications

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“…Sensors that can detect and respond to physical stimuli or chemical variations have enabled various systems, like cameras for visual sensing and microphones for voice recognition, to collect and process data in real-time. MEMS-based sensors, such as accelerometers, gyroscopes, pressure sensors, tactile sensors, and biosensors, have found extensive use in numerous applications, particularly in wearable electronics, due to their numerous advantages, including small size, low power consumption, low cost, high reliability, and robustness (Erdil et al 2022 ; Liu et al 2013 ; Manvi and Mruthyunjaya Swamy 2022 ; Pitchappa et al 2015 ; Yazici et al 2020 ). The integration of AI data analytics with wearable sensors allows for the capture of crucial information, such as muscle deformation, joint bending, temperature changes, and heartbeat frequency.…”

Section: Human-machine Interfacesmentioning

confidence: 99%

Artificial intelligence enhanced sensors - enabling technologies to next-generation healthcare and biomedical platform

Wang,

He,

Zhou

et al. 2023

Bioelectron Med

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The fourth industrial revolution has led to the development and application of health monitoring sensors that are characterized by digitalization and intelligence. These sensors have extensive applications in medical care, personal health management, elderly care, sports, and other fields, providing people with more convenient and real-time health services. However, these sensors face limitations such as noise and drift, difficulty in extracting useful information from large amounts of data, and lack of feedback or control signals. The development of artificial intelligence has provided powerful tools and algorithms for data processing and analysis, enabling intelligent health monitoring, and achieving high-precision predictions and decisions. By integrating the Internet of Things, artificial intelligence, and health monitoring sensors, it becomes possible to realize a closed-loop system with the functions of real-time monitoring, data collection, online analysis, diagnosis, and treatment recommendations. This review focuses on the development of healthcare artificial sensors enhanced by intelligent technologies from the aspects of materials, device structure, system integration, and application scenarios. Specifically, this review first introduces the great advances in wearable sensors for monitoring respiration rate, heart rate, pulse, sweat, and tears; implantable sensors for cardiovascular care, nerve signal acquisition, and neurotransmitter monitoring; soft wearable electronics for precise therapy. Then, the recent advances in volatile organic compound detection are highlighted. Next, the current developments of human-machine interfaces, AI-enhanced multimode sensors, and AI-enhanced self-sustainable systems are reviewed. Last, a perspective on future directions for further research development is also provided. In summary, the fusion of artificial intelligence and artificial sensors will provide more intelligent, convenient, and secure services for next-generation healthcare and biomedical applications.

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Section: Human-machine Interfacesmentioning

confidence: 99%

Artificial intelligence enhanced sensors - enabling technologies to next-generation healthcare and biomedical platform

Wang,

He,

Zhou

et al. 2023

Bioelectron Med

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“…With N/MEMS, it is possible to precisely detect the target analyte and measure its concentration. This is achieved through precisely recording even the minutest shift in the sensor output [4,9,10]. Transduction principles such as piezoelectricity, piezo-resistivity, electro-static, electro-magnetic, electro-thermal, optical, etc.…”

Section: Linearity and Dynamic Rangementioning

confidence: 99%

N/MEMS Biosensors: An Introduction

Pachkawade¹

2023

Lecture Notes in Electrical Engineering

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In the 21 st century, biosensors have gathered much wider attention than ever before, irrespective of the technology that promises to bring them forward. With the recent COVID-19 outbreak, the concern and efforts to restore global health and well-being are rising at an unprecedented rate. A requirement to develop precise, fast, point-of-care, reliable, easily disposable/reproducible and low-cost diagnostic tools have ascended. Biosensors form a primary element of hand-held medical kits, tools, products, and/or instruments. They have a very wide range of applications such as nearby environmental checks, detecting the onset of a disease, food quality, drug discovery, medicine dose control, and many more. This chapter explains how Nano/Micro-Electro-Mechanical Systems (N/MEMS) can be enabling technology towards a sustainable, scalable, ultraminiaturized, easy-to-use, energy efficient, and integrated bio/chemical sensing system. This study provides a deeper insight into the fundamentals, recent advances, and potential end applications of N/MEMS sensors and integrated systems to detect and measure the concentration of biological and/or chemical analytes. Transduction principle/s, materials, efficient designs including readout technique, and sensor performance are explained. This is followed by a discussion on how N/MEMS biosensors continue to evolve. The challenges and possible opportunities are also discussed.

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“…However, the need for the integration of an optical subsystem and an electric coil for data readout makes such systems relatively unwieldy. Erdil et al demonstrated a low-cost disposable cantilever-based system for the detection of aflatoxin M1 (AFM1) [18]. The designed system is capable of detecting a minimum of 14 µg of AFM1 with a limit of detection of 4.63 µg.…”

Section: Introductionmentioning

confidence: 99%

Four-Channel Ultrasonic Sensor for Bulk Liquid and Biochemical Surface Interrogation

Pelenis,

Barauskas,

Dzikaras

et al. 2024

Biosensors

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Custom electronics tailored for ultrasonic applications with four ultrasonic transmit-receive channels and a nominal 25 MHz single channel frequency were developed for ultrasound BAW and SAW biosensor uses. The designed integrated microcontroller, supported by Python with a SciPy library, and the developed system measured the time of flight (TOF) and other wave properties to characterize the acoustic properties of a bulk of the liquid in a microchannel or acoustic properties of biological species attached to an analytic surface in real time. The system can utilize both piezoelectric and capacitive micromachined ultrasound transducers. The device demonstrated a linear response to changes in water salinity. This response was primarily attributed to the time-of-flight (TOF) changes related to the varying solution density. Furthermore, real-time DNA oligonucleotide-based interactions between oligonucleotides immobilized on the device’s analytical area and oligonucleotides attached to gold nanoparticles (Au NPs) in the solution were demonstrated. The biological interaction led to an exponential decrease in the acoustic interfacial wave propagating across the interface between the solution and the solid surface of the sensor, the TOF signal. This decrease was attributed to the increase in the effective density of the solution in the vicinity of the sensor’s analytical area, as Au NPs modified by oligonucleotides were binding to the analytical area. The utilization of Au NPs in oligonucleotide surface binding yields a considerably stronger sensor signal than previously observed in earlier CMUT-based TOF biosensor prototypes.

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A disposable MEMS biosensor for aflatoxin M1 molecule detection

Cited by 6 publications

References 25 publications

Artificial intelligence enhanced sensors - enabling technologies to next-generation healthcare and biomedical platform

Artificial intelligence enhanced sensors - enabling technologies to next-generation healthcare and biomedical platform

N/MEMS Biosensors: An Introduction

Four-Channel Ultrasonic Sensor for Bulk Liquid and Biochemical Surface Interrogation

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