Page 78 - ITU Journal Future and evolving technologies Volume 2 (2021), Issue 3 – Internet of Bio-Nano Things for health applications
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ITU Journal on Future and Evolving Technologies, Volume 2 (2021), Issue 3




                                  Table 7 – System description and important conclusions in experimental works
           Reference   System description                             Conclusion
           [168]       Silicon‑nano wire (Si‑NW) based biomolecule detection  Faster response of Si‑NW than the Ion‑Sensitive
                                                                      Field‑Effect Transistor (ISFET) was shown.
           [169]       Detection of femtograms of Mercury‑ion using BSA protein i) Logarithmic variation of conductance of BCZ with
                       conjugated ZnO nano‑sphere (BCZ)               the concentration of Mercury‑ions.
                                                                      ii) Useful for biomedical applications such as detec‑
                                                                      tion of toxic heavy metals in body.
           [170]       i) Conversion of optical signal from LED to chemical signal i) Derivative‑based detection was used to obtain a bit
                         +
                       (H ions)                                       rate of 1‑bit/min.
                                    +
                       ii) Detection of H ions using pH sensor        ii) System can work as microscale modulator.
           [174]       i) Transmitter ‑ Spray of isopropyl alcohol    i) Study of diffusion over the air
                       ii) Channel ‑ Air                              ii) Determines and validates the channel model ex‑
                       iii) Receiver ‑ Metal oxide sensor             perimentally.
           [176]       i) 2×2 MIMO‑MC system using two alcohol sprays and two i) 1.7 times data rate improvement w.r.t. SISO sys‑
                       chemical sensors                               tem.
                                                                      ii) Useful for applications like structural high speed
                                                                      health monitoring in smart cities.
           [177]       i) Transmitter ‑ Peristaltic pump using acid to transmit bit‑ Training‑based detectors are suitable if channel
                       0 and base to transmit bit‑1                   model is not known.
                       ii) Channel ‑ Water in a silicon tube
                       iii) Receiver‑ RNN‑based detection
           [179]       i) Transmitter ‑ Alcohol spray                 Better target (transmitter) detection by the receiver
                       ii) Channel ‑ Air                              using bio‑inspired algorithm than the random walk
                       iii) Mobile receiver ‑ Metal oxide sensor mounted on a ve‑ process.
                       hicle
           [186]       i) Implantable glucose sensor is proposed      i) Deep learning‑based detection performs better
                       ii) InGaZnO‑based EGFET is used as the sensor material  than conventional threshold based detectors in un‑
                                     +
                       iii)DetectionofH ionsgeneratedbythereactionofglucose known and noisy channels.
                       using RNN                                      ii) EGFETs have better  ield‑effect mobility and a
                                                                      large on‑off ratio than Si‑NW.
           [187]       i) Transmitter ‑ Alcohol spray                 i) Channel coding for better ISI mitigation.
                       ii) Channel ‑ Air                              ii) Adaptive threshold for decoding of the code‑word.
                       iii) Receiver‑ Alcohol sensor
           [189]       i) Transmitter ‑ Peristaltic pump using acid to transmit bit‑ Better BER performance than SBRNN.
                       0 and base to transmit bit‑1
                       ii) Channel ‑ Water in a silicon tube
                       iii) Receiver‑ Cooperative RNN‑based detection


          5.2.2   Transduction unit                            structures but graphene is a two dimensional material
                                                               that can provide large spatial coverage leading to an in‑
          In  bio‑FET,  the  channel  between  drain  and  source  elec‑   crease in the number of receptors that can be functional‑
          trodes is the transduction unit for generating an electri‑   ized on its surface.
          cal signal based on the molecular signal at the receptors.
          Single‑Walled   CNTs   (SWCNTs),   Si‑NW   [168],
                                                               5.2.3  Signal processing unit
          graphene  [167] could be used as the transduction unit.
          The SWCNT for  Acetylcholine  (Ach)  receptor  has  been   After the transduction unit, the processing of the gener‑
          discussed  in  [193]  to  detect  Ach.  Si‑NW‑based   ated electrical signal is required for the detection of infor‑
          transduction  unit  for  re‑  ceptor  protein  in  prostate   mation. Since a nano‑machine is expected to be a simple
          cancer  detection  has  been  pre‑  sented  in  [194].  The   device with limited computational capability, simple and
          graphene‑based transducer channel for a glucose oxidase   less‑complex detectors such as derivative‑based detec‑
          receptor in a glucose sensing device has  been  discussed   tion [61], asynchronous detection [50] are more suitable.
          in  [195].  The  conductivity  of  trans‑  ducers  such  as   However, the limitation of these detectors is that they
          SWCNT, Si‑NW and graphene varies with the number of   cannot perform well under high noise and mobile trans‑
          molecules bound to the receptors.  This in turn changes   mitter/receiver scenarios. Moreover, the non‑coherent
          the  current   low  between  source  and  drain of  bio‑FET   detector can also be used in challenging environments
          [18] thus  providing  transduction  capability  to  these  where the channel model is dif icult to obtain. A non‑
          materials.  SWCNT and Si‑NW are one dimensional      coherent detector based on local convexity [135] that uses
                                                               a moving average operation for noise reduction and ANN‑





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