Have Nanorouters been identified in Covid Vaccines?

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To date, there is more than plausible evidence and references to the existence of carbon nanotubes and nanopulps, mesoporous spheres, and colloidal nanobots/worms that should not be in any vaccine and are not declared as vaccine ingredients.

Crystallized Graphene Nanoantennas in Vaccines

In addition, other types of objects have been identified and detected in images of blood samples from individuals vaccinated with the coronavirus vaccines, namely microswimmers, crystallized graphene nanoantennas, and graphene quantum dots, also called GQDs (graphene quantum dots).

On this occasion, analysis of an image obtained by Dr. Campra corresponding to a sample of Pfizer vaccine (see Figure 1) most likely revealed a nanorouter or part of its circuitry.

The original image shows a well-defined droplet with square or cubic crystal structures. If you look closely, you can see a regular pattern on these crystals, well defined in some cases, but limited by the optics of the microscope.


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Fig. 1. Crystalline formations with markings that look like circuits. Among these objects, the circuit of a possible nanorouter was discovered. Image of a sample of Pfizer’s vaccine obtained from (Campra, P. 2021).

The discovery was made possible by isolating each square crystal, using a process of screening, focusing and delineating the edges of the image to make the observed markings even clearer.

Once this process was completed, a sketch was made with the lines and patterns inscribed on the crystal, creating a clean outline of what actually looked like a circuit.

It was very noticeable to find parallel and perpendicular lines with a distribution that was far from fractal patterns, which automatically suggested the possibility that it was a manufacturing product.

Therefore, we searched the scientific literature for similar patterns that had a similar scheme to the circuit we had just drawn. The result of the search was almost immediate, as the pattern of a quantum dot nanorouter was found, as shown in Figure 2.


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Fig. 2: Possible quantum dot nanorouter in a square crystal taken by Dr. (Campra, P. 2021). In the lower right corner is the quantum dot nanorouter circuit published by (Sardinha, L.H.; Costa, A.M.; Neto, O.P.V.; Vieira, L.F.; Vieira, M.A. 2013). Note the obvious similarity between the sketch, the shape inscribed in the crystal and the quantum dot circuit.

This discovery is fundamental, not only for understanding the true purpose and components of coronavirus vaccines, but also for explaining the phenomenon of MAC addresses visible through the Bluetooth of many mobile devices.

Context of the Discovery

Before explaining the discovery, it is important to consider the context in which it is embedded to ensure its understanding and elaboration.

First, consider that graphene and its derivatives, graphene oxide (GO) and carbon nanotubes (CNTs), are among the components of vaccines, as explained earlier in this blog.

The properties of graphene are exceptional from a physical, thermodynamic, electronic, mechanical and magnetic point of view.

Because of its properties, it can be used as a superconductor, electromagnetic wave (EM microwave) absorber, transmitter, receiver of signals, and quantum antenna, enabling the development of advanced electronics at the nanoscale and microscale.

So much so that it is the fundamental nanomaterial for the development of nano-biomedicine (Mitragotri, S.; Anderson, D.G.; Chen, X.; Chow, E.K.; Ho, D.; Kabanov, A.V.; Xu, C. 2015), nano-communication networks (Kumar, M.R. 2019), new drug delivery therapies (Yu, J.; Zhang, Y. ; Yan, Y. Zhang, Y.; Yan, J.; Kahkoska, A.R.; Gu, Z. 2018) and cancer treatments (Huang, G.; Huang, H. 2018), as well as neurological treatment of neurodegenerative diseases (John, A.A.; Subramanian, A.P.; Vellayappan, M.V.; Balaji, A.; Mohandas, H.; Jaganathan, S.K. 2015).

However, apart from all these benefits, the scientific literature is very clear about the health effects on the human body.

It is known that graphene (G), graphene oxide (GO) and other derivatives such as carbon nanotubes (CNTs) are toxic in almost all their forms, causing mutagenesis, cell death (apoptosis), free radical release, pulmonary toxicity, bilateral pneumonia, genotoxicity or DNA damage, inflammation, immunosuppression, damage to the nervous system, circulatory system, endocrine system, reproductive system, and urinary tract, and may cause anaphylactic death and multi-organ failure, see “Graphene Oxide Damage and Toxicity” pages.

Second, graphene is a radiomodulable nanomaterial capable of absorbing electromagnetic waves and multiplying radiation by acting as a nanoantenna or signal amplifier (Chen, Y.; Fu, X.; Liu, L.; Zhang, Y.; Cao, L.; Yuan, D.; Liu, P. 2019).

Exposure to electromagnetic radiation can cause the material to dissolve into smaller particles (Lu, J.; Yeo, P.S.E.; Gan, C.K.; Wu, P.; Loh, K.P. 2011), which are called graphene quantum dots or GQDs (Graphene Quantum Dots), and their properties and physical features are enhanced by the “quantum Hall” effect due to their even smaller size as they act by amplifying electromagnetic signals (Massicotte, M. Yu, V.; Whiteway, E.; Vatnik, D.; Hilke, M. 2013 | Zhang, X.; Zhou, Q.; Yuan, M.; Liao, B.; Wu, X.; Ying, M. 2020), and thus the emission distance, especially in environments such as the human body (Chopra, N.; Phipott, M.; Alomainy, A.; Abbasi, Q.H.; Qaraqe, K.; Shubair, R.M. 2016). GQDs can adopt different morphologies, such as hexagonal, triangular, circular, or irregular polygonal (Tian, P.; Tang, L.; Teng, K.S.; Lau, S.P. 2018).

The superconducting and transducing capabilities make graphene one of the most suitable materials to create wireless nanocommunication networks for nanotechnology application in human body.

This approach has been intensively worked on by the scientific community after finding and analyzing the available protocols and specifications, but also the routing systems for the data packets that the nano-devices and nano-nodes inside the body would generate, in a system complex called CORONA, whose aim is to effectively transmit the signals and data in the network, to optimize the energy consumption (to a minimum) and also to reduce the failures in the transmission of the data packets (Bouchedjera, I. A.; Aliouat, Z.; Louail, L. 2020 | Bouchedjera, I.A.; Louail, L.; Aliouat, Z.; Harous, S. 2020 | Tsioliaridou, A.; Liaskos, C.; Ioannidis, S.; Pitsillides, A. 2015).

In this nanocommunication network, a time-spread on-off keying (TS-OOK) signal type is used, which enables the transmission of binary codes of 0 and 1 with short pulses in which the signal is turned on and off in very small time intervals of a few femtoseconds (Zhang, R. Yang, K.; Abbasi, Q.H.; Qaraqe, K.A.; Alomainy, A. 2017 | Vavouris, A.K.; Dervisi, F.D.; Papanikolaou, V.K.; Karagiannidis, G.K. 2018).

Due to the complexity of nanocommunication in the human body, where the nanonodes of the network are distributed throughout the body, in many cases in motion, due to blood flow, and in others attached to the endothelium of arterial and capillary walls or in the tissues of other organs, researchers have required the development of software to simulate such conditions in order to verify and validate the nanocommunication protocols that were under development (Dhoutaut, D. Arrabal, T.; Dedu, E. 2018).

On the other hand, the nanocommunication network targeted to the human body (Balghusoon, A.O.; Mahfoudh, S. 2020) was carefully designed in its topological aspects, conceiving components specialized to perform such a task.

Thus, electromagnetic nanocommunication in its most fundamental layer consists of nano-nodes, i.e., components (presumably made of graphene, carbon nanotubes, GQD, and other objects and materials) that can interact as nanosensors, piezoelectric actuators, and, in any case, nanoantennas that relay signals to the other nano-nodes.

The nano-nodes find their next step in the topology in the nano-routers (also called nano-controllers). Their task is to receive the signals emitted by the nano-nodes, process them and forward them to the nano-interfaces, which transmit them to the outside world with the required frequency and range, since they have to cross the skin barrier without losing the clarity of the signal so that it can be received by a mobile device at a sufficient distance (usually a few meters).

This mobile device is a smartphone or other device with an Internet connection that can act as a gateway. The topology also defines the possibility that the entire infrastructure of nanonode, nanorouter, and nanoscale interface is unified in a single nanodevice called a pole or software-defined metamaterial SDM (Lee, S.J.; Jung, C.; Choi, K.; Kim, S. 2015).

This model simplifies the topology but increases the size of the device and the complexity of its construction, which is designed in multiple graph layers. In any case, regardless of the topology, nanorouters are required to properly relay and decode signals not only for transmission but also for reception, as they can be designed to provide bidirectional service, which de facto implies the ability to receive command, command, and operational signals that interact with network objects.

In addition to electromagnetic nanocommunication, there is also molecular nanocommunication, which is discussed in the entry on carbon nanotubes and new findings in vaccine samples.

Both papers analyze the implications of these objects for neuroscience, neuromodulation, and neurostimulation because when they are in neuronal tissue (which is very likely because they can cross the blood-brain barrier), they can make connections that bridge neuronal synapses.

This means that they connect neurons through different, shorter pathways than natural axons (Fabbro, A.; Cellot, G.; Prato, M.; Ballerini, L. 2011). This can be used in experimental treatments to mitigate the effects of neurodegenerative diseases, but also to directly interfere with neurons, the secretion of neurotransmitters such as dopamine, the involuntary activation of specific brain regions, their neurostimulation or modulation by electrical impulses generated by carbon nanotubes (Suzuki, J.; Budiman, H.; Carr, Carr, L. 2011). Budiman, H.; Carr, T.A.; DeBlois, J.H. 2013; Balasubramaniam, S.; Boyle, N.T.; Della-Chiesa, A.; Walsh, F.; Mardinoglu, A.; Botvich, D.; Prina-Mello, A. 2011), as a consequence of receiving electromagnetic signals and pulses from the nanocommunication network (Akyildiz, I.F.; Jornet, J.M. 2010).

It is self-evident what it means when an external signal, which is not controlled by the vaccinated person, controls the release of neurotransmitters.

Thus, carbon nanotubes that become embedded in neuronal tissue could impair the natural function of the secretion of neurotransmitters such as dopamine, which are responsible for cognitive processes, socialization, the reward system, desire, pleasure, conditioned learning, or inhibition, among others (Beyene, A.G.; Delevich, K.; Del Bonis-O’Donnell, J. T. ; Piekarski, D.J.; Lin, W.C.; Thomas, A. W.; Landry, M.P. 2019 | Sun, F.; Zhou, J.; Dai, B.; Qian, T.; Zeng, J.; Li, X.; Li, Y. 2020 | Sun, F.; Zeng, J.; Jing, M.; Zhou, J.; Feng, J.; Owen, S. F. ; Li, Y. 2018 | Patriarchi, T.; Mohebi, A.; Sun, J.; Marley, A.; Liang, R.; Dong, C.; Tian, L. 2020 | Patriarchi, T.; Cho, J.R.; Merten, K.; Howe, M.W.; Marley, A.; Xiong, W.H.; Tian, L. 2018).

This means that it can interfere with people’s normal behavior patterns, emotions, and thoughts, and even subliminally enforce conditioned learning without individuals being aware of it.

In addition to the above properties, carbon nanotubes not only open the door to wireless interaction in the human brain, they can also receive electrical signals from neurons and relay them to nanorouters, having the same properties as graphene GQD nanoantennas and graphene quantum dots, as explained in (Demoustier, S.; Minoux, E.; Leoux, E.; Leoux, E.; Demoustier, S.). Minoux, E.; Le Baillif, M.; Charles, M.; Ziaei, A. 2008 | Wang, Y.; Wu, Q.; Shi, W.; He, X.; Sun, X.; Gui, T. 2008 | Da-Costa, M.R.; Kibis, O.V.; Portnoi, M.E. 2009). This means that they can transmit and monitor the neural activity of individuals.

In order for the data packets sent and received by the nanocommunication network to reach their destination, the communication protocol must somehow implement the unique identification of the nanodevices (e.g., by MAC) and forward the information to a predetermined IP address.

In this sense, the human body becomes an IoNT (Internet of NanoThings) server to which the client/server model of communication can be applied.

The mechanisms, commands, or request types, as well as the exact frequency and type of signal used to power the wireless nanocommunication network that would be installed with each vaccine have yet to be determined, although this information must obviously be very guarded given the potential biohacking consequences (Vassiliou, V. 2011) that could occur.

In fact, the work of (Al-Turjman, F. 2020) connects the problems and circumstances of nanocommunication network security associated with 5G (confidentiality, authentication, privacy, trust, intrusion, rejection) and additionally presents a summary of the operation of electromagnetic communication between nanonodes, nanosensors and nano-routers using graphene antennas and transceivers for their connection with data servers to develop Big Data projects.

It should be noted that the risks of a hacking attack on the network are very similar to those that can occur in any network connected to the Internet (masquerade attack, location tracking, information traps, denial of service, hijacking of nano-devices, Wormhole, MITM Intermediate Attack, Malware, Spam, Sybil, Spoofing, Neurostimulation Deception Attack), which poses a potential and additional very serious risk to individuals inoculated with nanocommunication network hardware.

In this context, the discovery of the circuits of a nanorouter in the samples of Pfizer’s vaccine, which is a key element of all ongoing research, confirms the installation of hardware in the body of vaccinated individuals without their informed consent, which performs detection and interaction processes that are completely beyond their control.

QCA Nanorouter

The discovered circuit (see Figure 3) belongs to the field of cellular quantum dot automata, also called QCA (Quantum Cellular Automata), which are characterized by their nanometric size and very low power consumption and represent an alternative to replace transistor technology.

This is defined by the work of (Sardinha, L.H.; Costa, A.M.; Neto, O.P.V.; Vieira, L.F.; Vieira, M.A. 2013), from which comes the schematic of such a circuit.

The nanorouter referred to by the researchers is characterized by extremely low power consumption and high processing speed (its clock operates in the 1-2 THz range), which corresponds to the performance conditions and data transmission requirements in the context of nanocommunication networks for the human body described by (Pierobon, M.; Jornet, J.M.; Akkari, N.; Almasri, S.; Akyildiz, I.F. 2014).


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Fig. 3. circuit of graphene quantum dots in QCA cells. Schematic representation of the circuit (Sardinha, L.H.; Costa, A.M.; Neto, O.P.V.; Vieira, L.F.; Vieira, M.A. 2013) observed in a Pfizer vaccine sample.

According to the explanations in the work of (Sardinha, L.H.; Costa, A.M.; Neto, O.P.V.; Vieira, L.F.; Vieira, M.A. 2013), a distinction is made between the concept of quantum dot and quantum dot cell, see Figure 4.

The QCA cell consists of four quantum dots whose polarization is variable. This makes it possible to distinguish the binary code of 0 and 1 depending on the positive or negative charge of the quantum dots.

In the Authors’ Words:

“The basic units of QCA circuits are cells of quantum dots. A dot in this context is just an area where there may or may not be an electric charge. A QCA cell has four quantum dots in the corners.

Each cell has two free and mobile electrons that can tunnel between the quantum dots. Tunneling to the outside of the cell is not possible due to a high potential barrier.”

Extrapolating from the graphene quantum dots (GQDs) identified in blood samples (based on emitted fluorescence), a QCA cell would require four GQDs to assemble, which is perfectly consistent with the researchers’ description.

This is also confirmed by (Wang, Z.F.; Liu, F. 2011) in their paper titled “Graphene quantum dots as building blocks for quantum cellular automata”, which confirms the use of graphene to create such circuits.


Fig. 4. schematic of a QCA cell consisting of four quantum dots (which can be made of graphene, among other materials). Note the close resemblance to memristors, in fact QCAs and memristors are transistors (Sardinha, L.H.; Costa, A.M.; Neto, O.P.V.; Vieira, L.F.; Vieira, M.A. 2013; Strukov, D.B.; Snider, G.S.; Stewart, D.R.; Williams, R.S. 2009).


When QCA cells are combined, wires and circuits with a wide variety of shapes, schemes and applications are created, as can be seen in Figure 5, where inverters, junctions and logic gates can be seen, which are also covered by other authors such as (Xia, Y.; Qiu, K. 2008).

This leads to more complex structures that allow reproducing the electronic schemes of transistors, processors, transceivers, multiplexers, demultiplexers and therefore of any router.


Fig. 5. QCAs can form different types of circuits, such as logic gates, junctions, inverters, or wires. (Sardinha, L.H.; Costa, A.M.; Neto, O.P.V.; Vieira, L.F.; Vieira, M.A. 2013).

It is important to explain that circuits composed of QCA cells can operate in multiple overlapping layers, allowing a 3D (three-dimensional) structure to create much more complex and compressed electronics, see Figure 6.


Fig. 6: According to (Sardinha, L.H.; Costa, A.M.; Neto, O.P.V.; Vieira, L.F.; Vieira, M.A. 2013), more complex circuits can be built by adding several overlapping layers. This can be seen in the symbol of a circle in the design. Three artistic illustrations representing different layers of circuits are also shown (own elaboration).

According to the researchers (Sardinha, L.H.; Costa, A.M.; Neto, O.P.V.; Vieira, L.F.; Vieira, M.A. 2013), in order to develop a nanorouter, several circuit structures are required, namely wire crossings (which form logic gates), demultiplexers (demux), and parallel-to-series converters, see Figure X.

Demuxers are electronic devices capable of receiving a signal at the input QCA and sending it to one of several available output lines so that the signal can be routed for further processing.

The parallel-to-serial converter is a circuit that can take multiple sets of data at an input, transport them over different QCA lines, and forward them to the output lines at different times.

This would be exactly the component seen in the vaccine samples (see Figure 7).


Fig. 7. Details of the circuit used to convert TS-OOK signals in series to a parallel output, confirming one of the typical tasks of a router. (Sardinha, L.H.; Costa, A.M.; Neto, O.P.V.; Vieira, L.F.; Vieira, M.A. 2013)

Another important aspect of the work of (Sardinha, L.H.; Costa, A.M.; Neto, O.P.V.; Vieira, L.F.; Vieira, M.A. 2013) is the demonstration of the operation of the circuit, where the reception of a TS-OOK signal and its conversion into a binary code is observed, see Figure 8. Once the binary code is obtained, the “Demux” circuit is responsible for generating the data packets according to the structure of the corresponding communication protocol.


Fig. 8. The tests of the Demux circuit, already seen in Figure 7, provide the evidence of how the TS-OOK signals are interpreted and converted into binary code to finally generate the data packets of the corresponding nanocommunication protocol. (Sardinha, L.H.; Costa, A.M.; Neto, O.P.V.; Vieira, L.F.; Vieira, M.A. 2013)

All that is explained by (Sardinha, L.H.; Costa, A.M.; Neto, O.P.V.; Vieira, L.F.; Vieira, M.A. 2013), is also observed by (Das, B.; Das, J.C.; De, D.; Paul, A.K. 2017), in whose research QCA circuit designs for demux and nanorouters with very similar schemes to those already presented are observed, confirming the search for solutions to the problem of easy transmission and processing of signals and data at the nanoscale to make nanocommunication networks effective.

Finally, the concept of clock speed should be highlighted, even if it can already be deduced from the nature, characteristics and properties of QCA cell circuits.

Indeed, the ability of these electronic components to operate almost autonomously without the need for a dedicated processor is interesting. This is due to the fact that the QCA cell wires can measure the transmission time of signals between different cells in so-called “clock zones”, see Figure 9 and the following research papers (Sadeghi, M.; Navi, K.; Dolatshahi, M. 2020 | Laajimi, R.; Niu, M. 2018 | Reis, D.A.; Torres, F.S. 2016 | Mohammadyan, S.; Angizi, S.; Navi, K. (2015).

This effect allows the transmission of signals through the circuit, but also the generation of a clock frequency, which is its own processing speed. When this concept is combined with the use of superconducting materials such as graphene and, in particular, graphene quantum dots, very high processing speeds can be achieved.

Fig. 9. The nanorouter does not require a separate processor because the QCA cells organized in the wires of the circuit already perform this function due to the superconductivity and polarization properties of the quantum dots, which allows a clock rate to be derived through phases or physical zones of the circuit. (Sardinha, L.H.; Costa, A.M.; Neto, O.P.V.; Vieira, L.F.; Vieira, M.A. 2013 | Sadeghi, M.; Navi, K.; Dolatshahi, M. 2020).


Self-Assembly of Circuits

Although it may seem impossible, circuit self-assembly is a possibility that should be considered in the context of the hypothesis explained above.

According to (Huang, J.; Momenzadeh, M.; Lombardi, F. 2007), “recent developments in QCA fabrication (with molecular implementations) have significantly changed the nature of processing.

For very small features, self-assembly or large-scale deposition of cells on isolated substrates will likely be used. In these implementations, QCA cells (each consisting of two dipoles) are arranged on parallel V-shaped tracks.

The QCA cells are arranged in a dense pattern, and computations occur between adjacent cells. These fabrication methods are well suited for molecular translation.”

However, there are other methods, such as DNA nanopatterns (Hu, W.; Sarveswaran, K.; Lieberman, M.; Bernstein, G.H. 2005), that create a template for aligning graphene quantum dots that form the QCA cells, creating the circuits mentioned above, see Figure 10.


Fig.10. Self-assembly of a circuit with quantum dots from a DNA template. The circuit wire lines are very similar to those of the vaccine sample (see Figures 2 and 3). (Hu, W.; Sarveswaran, K.; Lieberman, M.; Bernstein, G.H. 2005).


According to (Hu, W.; Sarveswaran, K.; Lieberman, M.; Bernstein, G.H. 2005), “in our previous work, four-tiled DNA rafts were successfully synthesized and characterized by the gel electrophoresis method” in agreement with the work of (Sarveswaran, K. 2004).

This fits with the very probable existence of a gel/hydrogel in the composition of the vaccine, according to the micro-Raman analysis of Dr. (Campra, P. 2021), where peaks with values close to 1450 were obtained that could correspond to PVA, PQT-12, polyolefin, polyacrylamide or polypyrrole, all components recognized in the scientific literature as gels and derivatives.

On the other hand, explicit reference is made to the electrophoresis method, or, what is the same, to the electrical polarization process that causes Teslaphoresis, in carbon nanotubes, graphene, quantum dots and other semiconductors, as described in the research (Bornhoeft, L.R.; Castillo, A.C.; Smalley, P.R.; Kittrell, C.; James, D.K.; Brinson, B.E.; Cherukuri, P. 2016).

This would confirm that Teslaphoresis plays a key role in circuit assembly alongside DNA patterning. If confirmed, this would imply that circuits could self-assemble in the presence of electric fields or even upon receiving electromagnetic waves (EM microwaves).

The study of (Pillers, M.; Goss, V.; Lieberman, M. 2014) also confirms the assembly of nanostructures and CQA, in this case using graphene, graphene oxide (GO), electrophoresis and gel, which cause controlled deposition in the areas indicated by the DNA pattern and reproduce similar results to the study of Hu and Sarveswaran, allowing the creation of the electronic circuits mentioned earlier, see Figure 11.


Fig.11. Advances in the field of self-assembly of quantum dots and QCA cells have been observed in the scientific literature using the DNA template method to mark the construction sequence and electrophoresis to initiate or trigger the process in the solute materials. (Pillers, M.; Goss, V.; Lieberman, M. 2014)


Plasmonic Nanoemitter

Another issue that needs explanation in the discovery of a nanorouter circuit in the vaccine sample is its location in what appears to be a square crystal.

One might think it is a randomly generated shape, but the literature review shows and justifies such shapes serving as a framework for this type of circuit.

In reality, it is a “plasmonic nanoemitter”, i.e., a cubic nanoantenna (single crystal) of variable size in the nanomicrometer range that can transmit, receive, or repeat signals.

This is enabled by the plasmon activation property of its surface (that of the nanoemitter cube), which is locally excited to generate an oscillating signal, as explained in (Ge, D.; Marguet, S.; Issa, A.; Jradi, S.; Nguyen, T.H.; Nahra, M.; Bachelot, R. 2020), see Figure 12.

This is consistent with the nature of TS-OOK signals transmitted through the body’s nanocommunication network, which is a prerequisite for a nano-router to have a method of detecting them.

In other words, the crystalline cube acts as a transceiver for the nanorouter due to its special properties derived from plasmon physics.

This is confirmed by reviewing the scientific literature on electromagnetic nanonetworks for the human body (Balghusoon, A.O.; Mahfoudh, p. 2020), the MAC protocols applied in this case (Jornet, J. M.; Pujol, J.C.; Pareta, J.S. 2012), the methods used to correct errors in the signals (Jornet, J.M.; Pierobon, M.; Akyildiz, I.F. 2008), and the modulation of the signals (Jornet, J. M.; Pierobon, M.; Akyildiz, I.F. 2008), or femtosecond pulse modulation in the terahertz bathane for communication nanonetworks (Jornet, J.M.; Akyildiz, I.F. 2014), the parameterization of nanonetworks for their permanent operation (Yao, X. W.; Wang, W.L.; Yang, S.H. 2015), performance in wireless signal modulation for nano networks (Zarepour, E.; Hassan, M.; Chou, C.T.; Bayat, S. 2015).

In all cases, nano-transceivers are essential to receive or transmit a TS-OOK signal.


Fig. 12: Nanomicrometer-scale crystals can play the role of an antenna or a transceiver, suggesting that finding the circuit in a quadrangular structure is not a coincidence (Ge, D.; Marguet, S.; Issa, A.; Jradi, S.; Nguyen, T.H.; Nahra, M.; Bachelot, R. 2020).

Plasmonic nanoemitters can be cube-shaped, as was the case with the vaccine sample, but they can also be spherical and disk-shaped, and they can self-assemble into larger nano-microstructures (Devaraj, V.; Lee, J.M.; Kim, Y.J.; Jeong, H.; Oh, J.W. 2021).

The materials from which this plasmonic nanoemitter could be fabricated include gold, silver, perovskites, and graphene, see (Oh, D.K.; Jeong, H.; Kim, J.; Kim, Y.; Kim, I.; Ok, J.G.; Rho, J. 2021 | Hamedi, H. R. ; Paspalakis, E.; Yannopapas, V. 2021 | Gritsienko, A.V.; Kurochkin, N.S.; Lega, P.V.; Orlov, A.P.; Ilin, A.S.; Eliseev, S.P.; Vitukhnovsky, A.G. 2021 | Pierini, S. 2021), although many others could probably be used.

CAM and TCAM Memory for MAC and IP

If the presence of nanorouters in vaccines is considered, the hypothesis of the presence of one or more MAC addresses (fixed or dynamic) that could be sent by the vaccinated individuals or via another intermediate device (e.g., a cell phone) could be confirmed.

This approach is consistent with what has already been explained and demonstrated in this paper, but also with scientific publications on nanocommunication networks for the human body.

According to (Abadal, S.; Liaskos, C.; Tsioliaridou, A.; Ioannidis, S.; Pitsillides, A.; Solé-Pareta, J.; Cabellos-Aparicio, A. 2017), these MAC addresses allow the nano-network to send and receive data, since the individual has a unique identifier that allows access to the medium, i.e. the Internet.

In this way, the nano-router can receive the signals corresponding to the data from the nano-sensors and nano-nodes of the nano-network to transmit them to the outside of the body, provided that there is a mobile device nearby that serves as a gateway to the Internet.

Therefore, it is conceivable that MAC addresses of inoculated individuals can be observed (using Bluetooth signal tracking applications) when there is interaction with the mobile media acting as a gateway.

This does not mean that constant communication is taking place, as energy must be conserved and power consumption optimized (Mohrehkesh, S.; Weigle, M.C. 2014 | Mohrehkesh, S.; Weigle, M.C.; Das, S.K. 2015), which could explain interruptions in communication, connection times, and inactivity.

The novelty in MAC addressing coupled with QCA circuits that can be used to design nanorouters is that memory circuits can also be created.

The same researchers (Sardinha, L.H.; Silva, D.S.; Vieira, M.A.; Vieira, L.F.; Neto, O.P.V. 2015) developed a new type of CAM memory that.

“unlike Random Access Memory (RAM), which returns data stored at the given address, but CAM receives data stored at the given address.

CAM, on the other hand, receives data as input and returns where the data can be found. CAM is useful for many applications that require fast lookup, such as Hought transforms, Huffman coding, Lempel-Ziv compression, and network switches to map MAC addresses to IP addresses and vice versa. CAM is more useful for creating tables that look for exact matches, such as MAC address tables.”

This statement was extracted and copied verbatim to emphasize that QCA circuits are the answer to storing and managing MAC addresses for data transmission in nanonetworks, which would confirm that vaccines are, among other things, a means of installing hardware to control, modulate, and monitor humans.


Fig.13. Memory circuits for MAC and IP address storage fabricated with the same QCA technology as the nanorouter observed in Pfizer vaccine samples. (Sardinha, L.H.; Silva, D.S.; Vieira, M.A.; Vieira, L.F.; Neto, O.P.V. 2015).

In addition, (Sardinha, L.H.; Silva, D.S.; Vieira, M.A.; Vieira, L.F.; Neto, O.P.V. 2015) also developed TCAM memory, a special type of CAM memory useful for “creating tables for looking up longer matches, such as IP routing tables organized by IP prefixes.”

To reduce latency and speed up communications, routers use TCAM.” This statement clearly indicates its use in nano-routers to transmit data collected in the nano-net to a specific destination server accessible on the Internet.

In other words, the data collected by the nano network should be stored/recorded in a database that the recipient of the vaccine does not know exists, has not been informed about, and does not know what information is being used.


1. Akyildiz, I.F.; Jornet, J.M. (2010). Redes de nanosensores inalámbricos electromagnéticos = Electromagnetic wireless nanosensor networks. Nano Communication Networks, 1(1), pp. 3-19. https://doi.org/10.1016/j.nancom.2010.04.001

2. Al-Turjman, F. (2020). Inteligencia y seguridad en un gran IoNT orientado a 5G: descripción general = Intelligence and security in big 5G-oriented IoNT: An overview. Future Generation Computer Systems, 102, pp. 357-368. https://doi.org/10.1016/j.future.2019.08.009

3. Balasubramaniam, S.; Boyle, N.T.; Della-Chiesa, A.; Walsh, F.; Mardinoglu, A.; Botvich, D.; Prina-Mello, A. (2011). Desarrollo de redes neuronales artificiales para la comunicación molecular = Development of artificial neuronal networks for molecular communication. Nano Communication Networks, 2(2-3), pp. 150-160. https://doi.org/10.1016/j.nancom.2011.05.004

4. Balghusoon, A.O.; Mahfoudh, S. (2020). Protocolos de enrutamiento para redes inalámbricas de nanosensores e Internet de las nano cosas: una revisión completa = Routing Protocols for Wireless Nanosensor Networks and Internet of Nano Things: A Comprehensive Survey. IEEE Access, 8, pp. 200724-200748. https://doi.org/10.1109/ACCESS.2020.3035646

5. Beyene, A.G.; Delevich, K.; Del Bonis-O’Donnell, J.T.; Piekarski, D.J.; Lin, W.C.; Thomas, A.W.; Landry, M.P. (2019). Obtención de imágenes de la liberación de dopamina estriatal utilizando un nanosensor de catecolamina fluorescente de infrarrojo cercano no codificado genéticamente = Imaging striatal dopamine release using a nongenetically encoded near infrared fluorescent catecholamine nanosensor. Science advances, 5(7), eaaw3108. https://doi.org/10.1126/sciadv.aaw3108

6. Bornhoeft, L.R.; Castillo, A.C.; Smalley, P.R.; Kittrell, C.; James, D.K.; Brinson, B.E.; Cherukuri, P. (2016). Teslaforesis de nanotubos de carbono = Teslaphoresis of carbon nanotubes. ACS nano, 10(4), pp. 4873-4881. https://doi.org/10.1021/acsnano.6b02313

7. Bouchedjera, I.A.; Aliouat, Z.; Louail, L. (2020). EECORONA: Sistema de Coordinación y Enrutamiento de Eficiencia Energética para Nanoredes = EECORONA: Energy Efficiency Coordinate and Routing System for Nanonetworks. En: International Symposium on Modelling and Implementation of Complex Systems. Cham. pp. 18-32. https://doi.org/10.1007/978-3-030-58861-8_2

8. Bouchedjera, I.A.; Louail, L.; Aliouat, Z.; Harous, S. (2020). DCCORONA: Sistema distribuido de enrutamiento y coordenadas basado en clústeres para nanorredes = DCCORONA: Distributed Cluster-based Coordinate and Routing System for Nanonetworks. En: 2020 11th IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON). IEEE. pp. 0939-0945. https://doi.org/10.1109/UEMCON51285.2020.9298084

9. Campra, P. (2021a). Observaciones de posible microbiótica en vacunas COVID RNAm Version 1. http://dx.doi.org/10.13140/RG.2.2.13875.55840

10. Campra, P. (2021b). Detección de grafeno en vacunas COVID19 por espectroscopía Micro-RAMAN. https://www.researchgate.net/publication/355684360_Deteccion_de_grafeno_en_vacunas_COVID19_por_espectroscopia_Micro-RAMAN

11. Campra, P. (2021c). MICROSTRUCTURES IN COVID VACCINES: ¿inorganic crystals or Wireless Nanosensors Network?https://www.researchgate.net/publication/356507702_MICROSTRUCTURES_IN_COVID_VACCINES_inorganic_crystals_or_Wireless_Nanosensors_Network

12. Chopra, N.; Phipott, M.; Alomainy, A.; Abbasi, Q.H.; Qaraqe, K.; Shubair, R.M. (2016). THz time domain characterization of human skin tissue for nano-electromagnetic communication. En: 2016 16th Mediterranean Microwave Symposium (MMS) (pp. 1-3). IEEE. https://doi.org/10.1109/MMS.2016.7803787

13. Da-Costa, M.R.; Kibis, O.V.; Portnoi, M.E. (2009). Nanotubos de carbono como base para emisores y detectores de terahercios = Carbon nanotubes as a basis for terahertz emitters and detectors. Microelectronics Journal, 40(4-5), pp. 776-778. https://doi.org/10.1016/j.mejo.2008.11.016

14. Das, B.; Das, J.C.; De, D.; Paul, A.K. (2017). Diseño de nanoenrutador para nanocomunicación en autómatas celulares cuánticos de una sola capa =Nano-Router Design for Nano-Communication in Single Layer Quantum Cellular Automata. En: International Conference on Computational Intelligence, Communications, and Business Analytics (pp. 121-133). Springer, Singapore. https://doi.org/10.1007/978-981-10-6430-2_11

15. Demoustier, S.; Minoux, E.; Le Baillif, M.; Charles, M.; Ziaei, A. (2008). Revisión de dos aplicaciones de microondas de nanotubos de carbono: nano antenas y nanointerruptores = Revue d’applications des nanotubes de carbone aux micro-ondes: nano-antennes et nano-commutateurs = Review of two microwave applications of carbon nanotubes: nano-antennas and nano-switches. Comptes Rendus Physique, 9(1), pp. 53-66. https://doi.org/10.1016/j.crhy.2008.01.001

16. Devaraj, V.; Lee, J.M.; Kim, Y.J.; Jeong, H.; Oh, J.W. (2021). [Pre-print]. Diseño de nanoestructuras plasmónicas autoensambladas eficientes a partir de nanopartículas de forma esférica = Designing an Efficient Self-Assembled Plasmonic Nanostructures from Spherical Shaped Nanoparticles. International Journal of Molecular Science.  https://www.preprints.org/manuscript/202109.0225/v1

17. Dhoutaut, D.; Arrabal, T.; Dedu, E. (2018). Bit Simulator, un simulador de nanorredes electromagnéticas = Bit simulator, an electromagnetic nanonetworks simulator. En: Proceedings of the 5th ACM International Conference on Nanoscale Computing and Communication (pp. 1-6). https://doi.org/10.1145/3233188.3233205

18. Fabbro, A.; Cellot, G.; Prato, M.; Ballerini, L. (2011). Interconexión de neuronas con nanotubos de carbono: (re) ingeniería de la señalización neuronal = Interfacing neurons with carbon nanotubes: (re) engineering neuronal signaling. Progress in brain research, 194, pp. 241-252. https://doi.org/10.1016/B978-0-444-53815-4.00003-0

19. Ferjani, H.; Touati, H. (2019). Comunicación de datos en nano-redes electromagnéticas para aplicaciones sanitarias = Data communication in electromagnetic nano-networks for healthcare applications. En: International Conference on Mobile, Secure, and Programmable Networking (pp. 140-152). Springer, Cham. https://doi.org/10.1007/978-3-030-22885-9_13

20. Ge, D.; Marguet, S.; Issa, A.; Jradi, S.; Nguyen, T.H.; Nahra, M.; Bachelot, R. (2020). Nanoemisores plasmónicos híbridos con posicionamiento controlado de un único emisor cuántico en el campo de excitación local = Hybrid plasmonic nano-emitters with controlled single quantum emitter positioning on the local excitation field. Nature communications, 11(1), pp1-11. https://doi.org/10.1038/s41467-020-17248-8