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[[File:Jointventure.PNG|200px|thumb|right|Logo of Team Joint Venture]]
== T.E.S.T 2019 ==
Team T.E.S.T. is a team competing in Sensus 2019, its university is the TU Eindhoven. For Sensus 2019, T.E.S.T. investigated the possibilities for creating a biosensor which is able to measure the concentration of [[Adalimumab]]. The full TRD can be found [https://digital2019.sensus.org/storage/523/T.E.S.T.-(The-Netherlands)---Team-Results-Document.pdf via this link]
== Method ==
Bioluminescence
==Molecular Recognition ==
The bioluminescent assay comprises two protein engineered and chemically modified components; tumor necrosis factor alpha (TNFα) and an anti-a dalimumab/TNFα (anti-AT) antibody (HCA204, Bio-Rad Laboratories). These components form the molecular recognition of the assay using the affinity of TNFα to adalimumab and subsequently anti-AT antibody to the adalimumab/TNFα complex (AT-complex).
== Physical Transduction ==
The chemical reaction occurs in a microfluidic cartridge. To convert the analogue light signal into a digital signal, the emitted light from a cartridge is led through an optical setup in a cage system. First, the light from the cartridge, which is considered as a point source, is collimated by a plano-convex lens (f=25.4 mm). The emission spectrum of the bioluminescent protein has two maxima as it consists of the signal from both mNeonGreen-Nanoluc and NanoBiT. For this reason, the spectrum is split at the minimum between these maxima into a green and a blue beam. This is done through means of a long-pass dichroic mirror at 490 nm at an angle of 45 degrees. Afterwards, the green and blue beams are focused (plano-convex, f=25.4 mm) on the photodiodes (Thorlabs PDF10A, Si fW Sensitivity Fixed Gain Detector 320-1100 nm). An overview of the optical setup is given in figure 2 on the next page. The photodiodes provide an analog signal that is converted with an ADC and processed in a Raspberry-Pi comput
== Cartridge ==
For the sample handling a disposable cartridge with one chamber, an inlet and an outlet is used
== Reader Instrument ==
The used photodiodes provide an analog output signal between 0-10V. A voltage divider is used to transform the actual voltage range to the range of 0-5V. This signal is converted by the ADC (ADS1115 16-bit) to a digital signal, so it can be processed by the Raspberry Pi (3B+). The photodiodes and Raspberry Pi are powered by one power supply (Farnell RPT-60B). A 7-inch LCD touchscreen makes it possible to interact with the device
== Prizes ==
Analytical Performance
Creativity Performance
== T.E.S.T 2019 ==
Team T.E.S.T. is a team competing in Sensus 2019, its university is the TU Eindhoven. For Sensus 2019, T.E.S.T. investigated the possibilities for creating a biosensor which is able to measure the concentration of [[Adalimumab]]. The full TRD can be found [https://digital2019.sensus.org/storage/523/T.E.S.T.-(The-Netherlands)---Team-Results-Document.pdf via this link]
== Method ==
Bioluminescence
==Molecular Recognition ==
The bioluminescent assay comprises two protein engineered and chemically modified components; tumor necrosis factor alpha (TNFα) and an anti-a dalimumab/TNFα (anti-AT) antibody (HCA204, Bio-Rad Laboratories). These components form the molecular recognition of the assay using the affinity of TNFα to adalimumab and subsequently anti-AT antibody to the adalimumab/TNFα complex (AT-complex).
== Physical Transduction ==
The chemical reaction occurs in a microfluidic cartridge. To convert the analogue light signal into a digital signal, the emitted light from a cartridge is led through an optical setup in a cage system. First, the light from the cartridge, which is considered as a point source, is collimated by a plano-convex lens (f=25.4 mm). The emission spectrum of the bioluminescent protein has two maxima as it consists of the signal from both mNeonGreen-Nanoluc and NanoBiT. For this reason, the spectrum is split at the minimum between these maxima into a green and a blue beam. This is done through means of a long-pass dichroic mirror at 490 nm at an angle of 45 degrees. Afterwards, the green and blue beams are focused (plano-convex, f=25.4 mm) on the photodiodes (Thorlabs PDF10A, Si fW Sensitivity Fixed Gain Detector 320-1100 nm). An overview of the optical setup is given in figure 2 on the next page. The photodiodes provide an analog signal that is converted with an ADC and processed in a Raspberry-Pi comput
== Cartridge ==
For the sample handling a disposable cartridge with one chamber, an inlet and an outlet is used
== Reader Instrument ==
The used photodiodes provide an analog output signal between 0-10V. A voltage divider is used to transform the actual voltage range to the range of 0-5V. This signal is converted by the ADC (ADS1115 16-bit) to a digital signal, so it can be processed by the Raspberry Pi (3B+). The photodiodes and Raspberry Pi are powered by one power supply (Farnell RPT-60B). A 7-inch LCD touchscreen makes it possible to interact with the device
== Prizes ==
Analytical Performance
Creativity Performance
