Description

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Abstract


For our project, we are developing a point-of care diagnostic test for Latent Tuberculosis (LTB) , the hidden form of the world's deadliest infectious disease. While a quarter of the population carries LTB, the current diagnostic tests fall short as being expensive , laboratory-dependent and cannot distinguish between latent and active tuberculosis. This leads to late diagnoses, longer treatment courses, and continued transmission.

Infecheck addresses the problem with early detection of LTB. We are developing a cheap, paper-strip diagnostic that uses a simple finger-prick blood sample to detect upregulated miRNAs specific to LTB. We explored two promising methods for exosomal miRNA detection: Toehold Switches and CRISPR-Cas13a . We envision our end-product to be in the form of a lateral flow test and to use microfluidics as the extraction method. The test delivers easy-to-read results without requiring lab-based equipment. Our approach prevents the progression from latent to active TB, therefore reducing patient suffering and TB spread.

We can't cure what we can't find.

Background Information


Tuberculosis (TB) is an airborne bacterial disease. It’s contracted when a person inhales Mycobacterium tuberculosis (Mtb) which settles in the lungs to grow. However, the growth may not always be accompanied by symptoms immediately - a state of TB known as latent Tuberculosis (LTB). Without treatment in its inactive state, those with LTB may develop active Tuberculosis (ATB) at any time which is when symptoms begin, and the germs are transmissible. At this stage, the body typically fails to prevent the growth of TB.

A person with ATB would typically experience these symptoms

  • Chest Pain
  • Prolonged heavy cough (longer than 3 weeks)
  • Loss of appetite
  • Weight loss
  • Sweating (especially at night)
  • Fever
  • Chills

The risk factors of activating TB include, but are not limited to

  • Undernutrition
  • HIV infection
  • Alcohol abuse
  • Smoking
  • Diabetes

The risk of contracting TB is heightened in settings of high ATB carrier density, such as

  • The continents of Asia, Africa and South America
  • Hospitals, Homeless Shelters, Correctional Facilities and Nursing Homes

Project motivation


Breathlessness, sweatiness and a hacking cough. Some of the symptoms Lauren described before going to the doctors and discovering she has Active Tuberculosis (ATB) through a chest X-ray - all whilst pregnant. Her transition from latent to ATB was through her punctured lung accident, though she was under the assumption she was not latent after being tested negative twice. She had to be isolated from all immediate family for 2 weeks and alert close contacts to get tested for TB. That’s when the discrimination began. People didn’t want to be around her, interrogating her as to how she could contract a disease so “dirty”. In the course of 9 months, she took just under 2000 pills and needed to revisit the hospital multiple times despite her labored state. Finally, she gave birth to her son during treatment, and she was clear of TB 7 long months into treatment, a “relief” she needed, although worried for her newborn’s health.

Project motivation purpose

Lauren is not the only one with a survivor story. There are 10 million people like her, who are diagnosed with ATB, where many sufferers live in countries with decreased access to optimal healthcare. The WHO estimates that a quarter of the global population harbours Latent Tuberculosis (LTB), meaning 2 billion people are at risk of experiencing something similar. They further state that TB is currently the deadliest infectious disease, and has been a front-runner for decades. The cycle must be broken. But how? Let’s start from the root of the issue. The first issue is the cuts to TB funding. USAID (US Agency for International Development) is the “third-largest TB research funder” , according to WHO. In 2023, they contributed $41·6 million for TB research , helped 5 million people go through treatment , contributed most of the US government's US$406 million to global tuberculosis efforts and provided half the funding to the ‘’Stop TB’ partnership. However, funding from USAID has ceased as of July 2025, bottle-necking the progress for TB research, diagnostics and treatment. Consequently, the lack of financial aid for TB diagnostics has made current tools inaccessible for low and middle income countries (LMICs). Traditional diagnostic methods include the Tuberculin Skin Test (TST) and the Interferon Gamma Release Assay (IGRA). TST involves injecting a purified protein derivative of Mtb under the skin to cause swelling in ATB patients. The TST requires multiple hospital visits and takes around 72 hours for results. It also cross-reacts with the BCG vaccine, leading to false positives. The IGRA test is a blood test that mixes a patient's blood sample with antigens derived from Mtb. The IGRA is more accurate than TST as the antigens are specific only to Mtb, however that comes at a steep price and specialist training. The gap between the richest and poorest countries has never been wider. 98% of the global TB burden belongs to LMICs, with TB diagnosis and treatment costing approximately 20% of annual household income in those countries. The under-funding of TB simply worsens the severity of the TB burden on these countries, as they are more likely to suffer from adversities such as undernutrition and HIV outbreak - two major risk factors of who TB spreads to - yet it is the 2% who have more immediate accessibility to diagnostics and treatment. Pivotally, both tests cannot distinguish between LTB and ATB and neither test is universal. 2 billion people have LTB, how many of them know?

The solution


Infecheck is the next step towards universal accessibility to LTB diagnosis.

We aim to design a test that is specifically targeted towards LTB diagnosis, as we want to eliminate the root before it activates into ATB. When treated early, TB loses the ability to spread, and the patient can bypass the long treatment course and painful symptoms of ATB. Diagnosing LTB and raising awareness of TBs risk factors, is the optimal method in preventing the spread of TB and reducing those transitioning from LTB to ATB, so 2 billion people can "get the help before it becomes active".

Our Overall Plan:

Our Overall Plan

Figure 1: A flow chart showing our whole product and how it will work. T= Test Line and C= Control Line

We followed the REASSURED guideline (created by WHO) in making a POC diagnostic test. This ensures our test design was engineered with thought of its implementation into the real world.

REASSURED stands for:

  • Real life Connectivity —> Collection and analysis of test results are important to ensure patients are treated and for epidemiological surveillance.
  • Ease of specimen collection —> Sample collection should aim to be non-invasive or minimally invasive for patient use. Sample preparation and biomarker extraction will influence the practicality of test design.
  • Affordable —> The test should be cheap to manufacture, store and transport as the more affordable the test is the more accessible it will be.
  • Sensitive —> The lowest possible concentration of the biomarker should be detected whilst minimising false negatives.
  • Specific —> The choice of biomarker should be specific to LTB so false positives are minimised, or the system itself can be adapted to make the test more specific.
  • User-friendly —> The test should be simple to use with no or minimal specialist requirement.
  • Robust —> The results should be quick and the test must withstand environmental challenges (e.g. temperature and humidity stresses).
  • Equipment —> No complex laboratory equipment should be needed or the device created must be portable and battery or solar powered.
  • Deliverable to end-users —> The test should be inclusive in its deliverance to end-users in low-resource settings.

CDC: Interferon-gamma release assay
WHO: Tuberculosis resurges

Biomarker Choice

We first thought about the best biomarker for LTB and what samples they can be found in:

Types of biomarkers

Figure 2: A mindmap showing how we came to the conclusion of researching miRNAs (12)(13)(14)(15)(16)(17)(18)

Figure 8

Figure 3: A mindmap showing how we chose our specific miRNAs (19)(20)(21)(22)(23)(24)(25)(26)(27)(28)

From our research, we found that most of the literature for latent TB suggested that miRNAs that are thermally preserved in exosomes are highly stable at room temperatures which makes them an ideal candidate for the development of detection tools. All of these studies used miRNAs extracted from blood samples of the individual to be tested, due to which our POC test will utilise a fingerprick blood sample - optimised for ease of collection, followed by a sanitisation protocol. Irregular levels, (such as up or downregulation) of some specific miRNAs have also been established to be associated with the presence of certain diseases - this makes their usage as biomarkers in diagnostics their most common clinical application. Hence, we decided to make our diagnostic kit more specific and reliable by detecting the presence of multiple miRNAs known to be associated with LTB. Moreover, the ease of specimen collection through non-invasive collection of a blood sample makes our test more user-friendly and efficient, all while being specific due to our choice of biomarkers.

Final Biomarkers:

Here are our four final biomarkers that we chose to further model and experiment with. Alongside shows the fold change difference between healthy control (HC) and LTB patients (when normalised to the housekeeping gene U6) extracted directly from Cui X et al literature on LTB biomarkers (19):

hsa-miR-7850-5p:

Sequence (5' to 3') = GUUUGGACAUAGUGUGGCUGG

Figure 4: A bar chart showing hsa-miR-7850-5p expression normalised by U6 for HC and LTB. Standard deviations included and do not overlap showing significant difference with P ≤ 0.01 (19).

hsa-miR-7850-5p expression chart

hsa-miR-1306-5p:

Sequence (5' to 3') = CCACCUCCCCUGCAAACGUCCA

Figure 5: A bar chart showing hsa-miR-1306-5p expression normalised by U6 for HC and LTB. Standard deviations included and do not overlap showing significant difference with P ≤ 0.01 (19).

hsa-miR-1306-5p expression chart

hsa-miR-363-5p:

Sequence (5' to 3') = UUAUAAAUACAACCUGAUAAGUG

Figure 6: A bar chart showing hsa-miR-363-5p expression normalised by U6 for HC and LTB. Standard deviations included and do not overlap showing significant difference with P ≤ 0.01 (19).

hsa-miR-363-5p expression chart

hsa-miR-6529-5p:

Sequence (5' to 3') = GAGAGAUCAGAGGCGCAGAGUG

Figure 7: A bar chart showing hsa-miR-6529-5p expression normalised by U6 for HC and LTB. Standard deviations included and do not overlap showing significant difference with P ≤ 0.01 (19).

hsa-miR-6529-5p expression chart

Detection Method:

After choosing our biomarker and knowing what sample they are found in, we then explored current miRNA detection methods in the market:

Detection Method

Figure 8: The different types of miRNA detection methods (32)(33)(34)(35)(36)(37)(38)(39)(40)(41)

Toehold Switches

Toehold switches is a POC RNA detection method that offers a high sensitivity and specificity while also allowing multiplexed detection of miRNAs (42). This method is also typically user-friendly as they do not require trained experts for operation or interpretation, with its application being as a paper-strip based test. They are also easily adaptable for use in cell-free systems, ideal for low-resource settings in terms of utilisation and distribution due to their low operation costs (43).

A toehold switch is an RNA-based riboregulator that is structured in a hairpin loop. We designed a toehold switch that is specific to the chosen miRNAs. When the miRNA is at normal levels, as seen in a healthy person's blood sample, the switch remains in a hairpin loop. The hairpin loop structure effectively hides the ribosomal binding site (RBS) to inhibit translation of the reporter gene located downstream. However, when the miRNAs are upregulated (as seen in people with LTB) they bind to the switch at the toehold region. The hairpin loop within the switch will unfold, thus exposing the RBS. Now a ribosome can bind and translate the reporter gene, which can be detected in a method dependent on the choice of reporter gene (13). Examples of common reporter genes used for toehold switch detection includes GFP, firefly luciferase or B-galactosidase – measuring fluorescence, luminescence and absorption respectively (44)

Toehold Switch Diagram

Figure 9 : A Toehold Switch labelled diagram , inspiration taken from iGEM team Exeter 2015. (45)

Image Loading Test

If you can see this text, the image failed to load.

Image path: /static/Toehold-switch.png

Toehold Mechanism Diagram

Figure 10 : The Mechanism of how a toehold switch opens when its complimentary miRNA is present to enable the reporter gene to be expressed (13).

Toehold Switches can be applied to a paper-strip test for a cheap and simple diagnostic test. The reporter genes commonly used are enzymes that act on a chromogenic substrate to produce a colour change (46). An example is B-galactosidase which acts on X-gal to produce a colour change going from colourless to blue to indicate a positive result (13). The cell free system with the toehold switch and chromogenic substrate is freeze-dried on a paper strip test. The liquid sample is placed on top of the cell free system to rehydrate it and start the reaction (46).

Paper-strip cell-free toehold example

Figure 11: Paper-strip with a cell free system freeze-dried on it. The toehold switch example has reporter gene B-galactosidase which acts on the chromogenic substrate X-gal to see a clear to blue colour change. When the miRNA is absent, it remains colourless but when it is present it changes blue (46).

Toehold Switch Challenges:

There was no expression observed when testing our designed toehold switches with their respective miRNAs. When analysing the reason for this, we found that some of the toehold regions within the sequences would interact with the reporter gene and hinder translation, but this was not the case for all toeholds we created. To assess the reason for why they did not work we would need to retest the method using a known working toehold switch and redesign our toehold switch but we were short on time. To find more about our troubleshooting with toehold switch , please go to the Engineering Page

We found numerous challenges when designing our initial toehold switch and when searching other literature methods(18):

  • difficult to design it for miRNAs
  • the hairpin loop of toehold switches normally are leaky and therefore would have a strong background signal
  • the test is time-consuming for a signal output on a paper-based strip (2 hours)
  • amplification of the miRNA is needed but this method did not include this

One lesson we learnt was a thorough literature review was needed before choosing a suitable miRNA detection method, which we failed to do as we immediately chose toehold switches. As our toehold switches didn't work and it was difficult to design, through an engineering cycle we chose a new miRNA detection method with the aim of picking a detection test that amplifies the miRNA, has high sensitivity, takes less than 30 minutes for a signal and can be applied in a lateral-flow test format.

Table comparison of Detection methods:

Detection Methods What is it? Sensitivity Time Advantages Limitations References
Cyclic Chain Displacement Reaction (CDDR) Uses a miRNA to trigger displacement reactions through hybridising to DNA hairpin loops, which releases the miRNA to form a new DNA duplex. The cycle repeats, thus amplifying the signal. The hybridised DNA complex is detected on a LFT. 0.123 pM miR-223
0.415 pM miR-200b
15 minutes Shown to work in a multiplex system
Can counteract leakiness by adding dNTPs
Has a tested shelf-life of 3 months
The probe being detected is DNA
Amplification of miRNA
Uses DNA hairpin loops which if not designed correctly can cause leaky expression (47)(48)
CRISPR/Cas13a using B-HP and F-HP A miRNA targets a crRNA which activates Cas13a to then trans-cleave a hairpin with biotin modified at the 3' end and releases an initiator sequence. This sequence opens the hairpin loop with FAM modification to form a Biotin-ssDNA-FAM reporter probe, which is detected on a LFT. 5.34 aM SARS-CoV-2 mRNA 35 minutes Highest Sensitivity observed throughout all detection methods
The probe being detected is made out of DNA
Time is longer than 30 minutes
An enzyme supply chain needed which can be expensive
No multiplex System shown
(49)
CRISPR/Cas13a and MnO2 A miRNA targets a crRNA which activates Cas13a to trans-cleave a LOCK-U hairpin loop to form a double stranded structure. The fuel chain displaces miRNA in this double strand, thus amplifying the signal and releasing P1 sequence to be detected in a LFT. 0.33 pM miR-21 10 minutes
  • 10 minutes for results (5 min Cas13a + 5 min LFA) which is very quick
  • ≥21 days stored at 4 °C
  • Tested on clinical samples
  • MnO2 NSs are more cost-effective, stable and can be optimised unlike the use of peroxidases
  • No multiplex system shown
  • An enzyme supply chain needed which can be expensive
  • There was observed background signal seen after 21 days (minor however)
(47)(50)
Catalytic hairpin Assembly (CHA) miRNA binds to PApt-H1 on DNA1 hairpin, and the aptamer has a specific sequence complementary to PD-L1 on exosomes so will bind to the exosomes at the same time. The exosome also will have FAM-EApt-Au bound to it because the aptamer is complementary to EpCAM ligand. This causes its partial unfolding of PApt-H1 and CHA allows binding to biotin-H2. This forms a stable complex as well as it recycling the miRNA as it's been displaced by the biotin-H2. The complex can be detected in a LFT 1 pM miRNA-223
1 × 10^4 particles/mL Exosomes
40 minutes
  • Uses aptamers rather than antibodies which is more cost-effective and a longer-shelf life.
  • Multiplex System shown
  • More than 30 minutes for results
  • Targets exosomes within its multiplex system which is not needed for LTB diagnosis, thus less relevant.
(47)(51)
Gold Nanorods with Exonuclease III A miRNA is complementary to a section in a hairpin DNA probe to open it up. Once hybridised, exonuclease III will cleave the complex to produce ssDNA fragments. The miRNA is not cleaved so it is recycled to repeat the hybridisation and cleavage process, thus amplifying the product used in a LFT. The ssDNA fragments can bind to gold nanorods to be detected in a LFT using DNA capture and control probes. 0.5 pM miR-21 30 minutes
  • Gold nanorods are more sensitive than gold nanoparticles and they are designed to be conjugated to ssDNA probes
  • Meets the time requirement of 30 minutes
  • DNA capture and control probes used
  • Gold nanorods can be optimised
  • Uses exonuclease which is an enzyme thus an enzyme supply chain is needed
  • No multiplex system shown
(47)(52)
Dual CRISPR/Cas Systems miRNA binds to crRNA 1 to activate Cas13a. Cas13a trans-cleaves a locked DNA/RNA to form unDNA. unDNA will bind to crRNA 2 to activate Cas12a. Cas12a will trans-cleave a Biotin-ssDNA-FAM reporter probe, splitting it. The products are tested on a LFT using anti-FAM antibodies and streptavidin. 1 pM 1 hour
  • Dual detection system makes the test more sensitive and specific – “improves sensitivity to 100-fold compared to the direct CRISPR/Cas13a system.”
  • crRNA have simple designs
  • No amplification needed for sensitive results
  • Longer than 30 minutes
  • Uses two enzymes so more expensive as enzyme supply chain is needed
(47)(53)
Rolling Circular Amplification A DNAzyme recognises m5c-miRNA-21 and cleaves it at the CH3 site. The cleaved part is used as a primer for RCA. The DNA padlock probe and miRNA hybridization and ligation makes the circular template used to detect the primer , and strand-displacing polymerases will displace the downstream double-stranded DNA (dsDNA) and create a new single-stranded DNA (ssDNA) whilst amplifying the miRNA. The RCA product is cleaved using Nb.BbvCI enzyme to make linear fragments which are detected on a LFT. 0.1 pM m5C-miRNA-21 1 hour Amplifies the signal to make the test more sensitive as miRNA is recycled
Uses DNA capture and control probes for detection
Longer than 30 minutes for both methods
For RCA where it’s used on miR-21 in colorectal cancer , the miRNA is naturally methylated – thus the method is adapted for that purpose which is not the same for LTB-associated miRNAs so this method is less relevant for us.
No multiplex system shown
(47)(54)
ssDNA–AuNP AuNPs are modified to have multiple ssDNA capture probes complementary to the miRNA, with some having biotin modified at the end. The miRNA hybridizes with the capture probe and the S9.6 antibody can specifically bind with the complex by asymmetrically recognizing two consecutive miRNA nucleotides and six consecutive DNA nucleotides. This reaction is then detected in a LFT. Colour: ~1.24 pM
SERS: ~0.76 pM
10 minutes Multiplex System shown using SERS
Very quick results – under 30 minutes
SERS requires advance equipment to use so a multiplex system is less accessible (53)(55)

Ultimately, we chose CCDR as our final detection method because it can be done in 15 minutes total when applied to a Lateral Flow Test (LFT) format, was tested in a multiplex system before with different miRNAs, has good sensitivity with as low as 0.123 pM for miRNAs and also amplifies the miRNA signal whilst detecting it too. A limitation is a leakiness in design of the hairpin loop, but we can apply our learning from toehold switches to minimise leakiness and dNTPS can be added to reduce this further.

Cyclic Chain Displacement Reaction (CCDR)

Cyclic chain displacement reaction (CCDR) uses miRNA to trigger displacement reactions through hybridising to DNA hairpin loops which releases the miRNA to form a new DNA strand complex. The cycle repeats, thus amplifying the signal.

Firstly, a hairpin structure called DNA1 has biotin modified at the 5' end and is partially made up of the complementary sequence to the miRNA as well as the complementary sequence to a secondary hairpin structure called DNA 2. When the miRNA is present, it will unravel the hairpin loop and hybridize to the complementary sequence for the miRNA. This will trigger the opening of hairpin DNA2, which has FAM modified at the 3' end. Once unraveled, the complementary sequence to DNA 2 within DNA 1 will act as a primer as it hybridises to DNA 2 and forms a DNA1-DNA2 complex. The target miRNA is released by displacement reaction to become an available trigger again thus repeating the cycle so there are continuous DNA1/DNA2 hybridization reactions.

This complex can be detected in a LFT, with the conjugate pad having anti-FAM antibodies conjugated to red-fluorescent proteins and the test line having immobilised streptavidin. When the miRNA is present, DNA1/DNA2 complexes are formed. The FAM on these complexes can bind to anti-FAM conjugated antibodies and the biotin will bind to the streptavidin, thus forming a coloured sandwich at the test line. When the miRNA is not present, the DNA1 and DNA2 hairpin structures remain in an off structure and the control line has anti-mouse antibodies which can bind to the conjugated antibodies which are always present in the sample. This is an example of a direct test.

Cyclic Chain Displacement Reaction Mechanism

Figure 12 : The Mechanism for CCDR in amplifying miRNAs using two DNA hairpins and the product being detected in a LFT (47)

For our project, we designed DNA hairpin loops to be complimentary to our miRNAs. Three out of four of our miRNAs could be expressed and purified, so altogether we designed 6 hairpin loops (2 for each miRNA):

Implementation


We aim to implement our test into field diagnostics, helping those burdened by TB most. Our implementation strategy involves making the extraction process and final product design accessible to people in LMIC. To achieve this we wanted a simple fingerprick to collect the blood sample used because it's easy to use, and we focused on microfluidics for miRNA extraction from exosomes because it's a portable and cheap device that works on small sample volumes. For our product design we chose a low cost paper-strip test using lateral flow technology - a format native to most people. The LFT design can be made specific to LTB by converting it to a multiplex system, detecting multiple upregulated miRNAs associated with LTB. Overall, It's simple and quick, with a colour change readout showing your results

Sample Collection:

In order to collect a blood sample, we decided on the method of skin puncture by a lancet. This is a small medical needle that was used to prick the edge of the finger to draw a blood sample, purchased from AHP Medicals. We chose the use of lancets due to their cost – effective nature, efficient disposal and hygiene maintenance, as well as ease of use. Firstly, the hands of the subject were washed to ensure hygienic testing before finger pricking. The first drop of blood was not used, however, to avoid collecting a contaminated sample. A 1.5ml test tube was used to collect 50µl of the sample, which was subsequently pipetted onto the desired inlet of the microfluidic chip. Capillary force then moved the blood into the microchannels of the chip, enabling further investigation. The lancet was discarded into a sharps bin (56)(57).

Figure 13: BD Microtainer Contact - Activated Lancet Blade 1.5mm Width AHP Medicals (57)

BD Microtainer Contact - Activated Lancet Blade 1.5mm

Extraction Process:

We looked into a range of options for extracting miRNAs from exosomes.

Microfluidics mindmap

Figure 14: A mindmap showing how we came to the conclusion of doing microfluidics (58)(59)(60)(61)(62)(63)(64)(65)(66)(67)(68)(69)(70)(71)(72)(73)

Microfluidic chips are the novel method of working with small volumes of liquids. They mainly rely on laws of physics to carry out many essential tasks, such as filtration, cell lysis, DNA capture and more. We have decided to try to apply the technology of microfluidic chips to our project, since it presents a unique opportunity of creating a very cheap “lab in a box” style test that would eliminate the need for advanced equipment and trained staff. In this section we will go over 3 main functions that our microfluidic system will perform - plasma separation from whole blood, exosome isolation from plasma and extraction of miRNAs from the exosomes via lysis.

Plasma isolation

In order to isolate the miRNA from the exosome we first need to isolate the exosomes themselves. It is most easily done in plasma. Human blood contains many contaminants that will make the isolation of miRNAs from whole blood too challenging to achieve, so we decided to explore the possibility of plasma separation from the whole blood, rather than direct exosome isolation.

Plasma isolation microfluidic design

Figure 16 . A diagram from Kuo et al. (74) showcasing a design of a microfluidic chip that is capable of plasma isolation from whole blood. This works because the plasma filtering chanell has a depth of 1.67 uM, and as a result, red blood cells, white blood cells and platelets (8, 10 and 2.5 uM respectively) (75) cannot pass. Plasma is then collected in the plasma collection reservoir, which has a depth of 500 uM. Later, this reservoir would be connected to other parts of our microfluidic system. In the experiment done by Kuo et al. the plasma was shown to be present in the plasma collection reservoir after 3 seconds after the whole blood sample was introduced into the inlet. Residual cell concentration was also measured to be less than 0.1%, indicating minimal contamination and thus possibly reducing the probability of false positives.

Exosome isolation

When plasma is isolated, we can now isolate exosomes with greater purity. We plan on utilizing the membrane-based filtration approach, which will filter out the particles that are smaller in size than our target exosomes. This is the most challenging step, however, as most particles in plasma are either bigger or smaller than exosomes, with exosome size averaging between 30 to 150nm (76). The original design that we are basing ours on from Davies et al. separates exosomes from whole blood, however, that caused the blocking of filtering pores by platelets, which limited the size of the sample being introduced to 5 uL (77). We plan to take this design but apply it to plasma instead, this, we hypothesise, will allow for a greater volume of sample that can be introduced and thus will be able to give us a more accurate assessment of a patient's diagnosis via possibly reducing false negatives.

Exosome isolation microfluidic design

Figure 18. Artistic rendition of the design of the microfluidic chip by Davie et al. Blue is the whole blood that enters the chip, while purple is the filtered exosomes that go out to the other side. We plan to modify this design by linking it to the plasma separating microfluidic chip that was mentioned in the previous section and by adding a way to separate the smaller contaminants from the purified exosomes later on.

Exosome lysis

For exosome lysis we considered 2 options - chemical lysis and thermal lysis. While chemical lysis is more widespread and multiple designs of it already exist, it does present challenges for downstream analysis, mainly miRNA quality degradation (78). Heat lysis on the other hand is a more underdeveloped method, but it does not do as much damage to RNA as chemical lysis does (79). Since lipid nanoparticles and exosomes are similar in their structure (80), we used lipid nanoparticles to understand the necessary temperature at which we need to carry out exosome lysis. According to Schubert et al (81), the melting point of the lipid matrix, and as a consequence, lipid nanoparticles is approximately 60 degrees Celsius. While miRNA cannot survive for long periods of time under that temperature, we would subject the exosomes to that temperature for a relatively short period of time, about 15-20 minutes, which would have minimal effect on the miRNA quality (79). For the heat lysis method we will utilize the Micro heater from Innovative Sensor Technologies (IST) that can heat small spaces up to 400C. This is a cost effective and efficient solution to the chemical lysis problem that will reduce the amount of harmful chemicals inside our tests and will possibly provide more accurate results due to less RNA damage (82).

IST micro heater for exosome heat lysis

Fig 19: A micro heater from IST that is capable of heating up to 400C, the dimensions fit our microscopic scale (5 x 5 x 0.63 mm). The heater, due to its size, is also highly localised, meaning it will have minimal interference with other reactions taking place in our test (82).

Current limitations for the microfluidic method for exosome isolation for our team is that we have not fabricated a design for the microfluidic chip that will carry out the heat lysis and that we are yet to connect all 3 elements of the microfluidic chip together. The next step would be to fabricate the design and testing ways to connect all 3 parts in order to have 1 microfluidic chip that can act as a ‘micro-lab’. Due to time-shortage we could not do this in our project, but encourage future iGEMers to test the idea.

Final Product:

A lateral flow test (LFT) is a paper-based diagnostic test. A liquid sample with the target analyte is added to the sample pad and flows laterally via capillary action where it is detected by antibodies or nucleic acid probes to produce a visible signal (47). The WHO recommends 80% sensitivity and 97% specificity in a LFT (83). LFT meets the REASSURED guidelines for POCT because their simple and inexpensive design means they can be implemented into low-resource settings. However, the limitations of a LFT are its sensitivity and specificity when compared to lab-based detection methods. There are two types of lateral flow tests:

Direct Test

Used for larger analytes that have multiple epitopes (binding sites). In the direct test, the presence of the test line indicates a positive result and is a sandwich assay whereas the control line usually contains species-specific anti-immunoglobulin antibodies, specific for the antibody in the particular conjugate.

Competitive Test

Used for smaller analytes that don't have multiple analyte binding sites. The analyte blocks the binding sites on the antibodies on the test line, preventing their interactions with the coloured conjugate. Therefore, a positive result is indicated by the lack of signal in the test line, while the control line should be visible independently of the test result.

Lateral Flow Test Diagram

Figure 20: A diagram showing the components of a lateral flow test including the sample pad, conjugate pad, test and control line and the absorption pad (47)

Our lateral Flow Test is made up of the following components:

Component Description
Sample Pad: This is where the sample is added. It usually contains buffer salts and surfactants that prepare the sample for interaction with the detection system.
Conjugate Release Pad: This pad contains anti-FAM antibodies that are conjugated to gold nanoparticles. These antibodies bind to the analyte (specifically, a DNA1/DNA2 hairpin duplex) to form an antibody-analyte complex.
Test Line: This line contains immobilised streptavidin, which binds to biotin present in the complex. This binding forms a sandwich with the detected analyte in the middle. A red band appears on this line when the miRNA is present, indicating a positive result.
Control Line: This line contains anti-mouse antibodies that are specific to the conjugated antibodies. These antibodies are always present in the test, so a red band always appears on the control line if the test is working correctly, regardless of the sample result.
Absorption Pad: This pad wicks away excess reagents and prevents the liquid from flowing backward on the strip.

Table 2: Description of what happens in the CCDR Lateral Flow Test at each component stage (47)(84)

Our product will be detected in a LFT. The conjugate pad having anti-FAM antibodies conjugated to gold-nanoparticles and the test line having immobilised streptavidin. When the miRNA is present, the DNA1/DNA2 complex is formed. The FAM on these complexes can bind to anti-FAM antibodies which are conjugated to gold nanoparticles and the biotin will bind to the streptavidin, thus forming a coloured sandwich at the test line. When the miRNA is not present, the DNA1 and DNA2 hairpin structures remain in an off structure and the control line has anti-mouse antibodies which can bind to the conjugated antibodies which are always present in the sample. This is an example of a direct test (47).

It’s important for the detection system to be as specific to LTB as possible, so we want multiple miRNAs to be detected because some miRNAs can be dysregulated in other diseases. Zhou P et al made a “triple-line lateral flow strip for the diagnosis of lung cancer” and in the same paper we extracted the methodology for the CCDR into a LFT, hence we would do the same method for our product but use our chosen miRNAs. For a multiplex system, an additional two DNA hairpin loops can be added to the system to detect an alternative miRNA. These DNA hairpin loops can be altered to have different chemicals modified at the 5’ end, for example as we have designed one DNA hairpin loop pair using Biotin and FAM, then for DNA 3 and DNA 4 we can have Digoxin and TAMRA modified at the 5’ end of these hairpin loops respectively. An additional conjugated antibody specific to TAMRA is in the conjugate pad, and a second test line is added which will have anti-digoxin antibodies immobilised. Both conjugated antibodies (anti-FAM and anti-TAMRA) will be from the same species, so on the control line anti-species antibodies can detect both. From the literature, this method takes 10 minutes so is quick and was shown to have similar sensitivity to PCR results. The disadvantage of implementing the test into a multiplex system is the additional resources needed — more antibodies and DNA-hairpin loops and a longer strip — thus the test will become more expensive the more miRNAs being detected (48).

References:

  1. World Health Organization. Tuberculosis [Internet]. World Health Organization. 2025. Available from: https://www.who.int/news-room/fact-sheets/detail/tuberculosis
  2. Centers for Disease Control and Prevention. Tuberculosis: Causes and How It Spreads [Internet]. Tuberculosis (TB). 2025. Available from: https://www.cdc.gov/tb/causes/index.html
  3. Centers for Disease Control and Prevention. Signs and Symptoms of Tuberculosis [Internet]. Tuberculosis (TB). 2024. Available from: https://www.cdc.gov/tb/signs-symptoms/index.html
  4. Centers for Disease Control and Prevention. Tuberculosis risk factors [Internet]. Tuberculosis (TB). 2024. Available from: https://www.cdc.gov/tb/risk-factors/index.html
  5. WHO. Tuberculosis [Internet]. World Health Organization. 2024. Available from: https://www.who.int/health-topics/tuberculosis#tab=tab_1
  6. WHO. Tuberculosis resurges as top infectious disease killer [Internet]. Who.int. 2024. Available from: https://www.who.int/news/item/29-10-2024-tuberculosis-resurges-as-top-infectious-disease-killer
  7. Use of the TST and IGRAs for the diagnosis of TB infection [Internet]. www.ncbi.nlm.nih.gov. World Health Organization; 2022. Available from: https://www.ncbi.nlm.nih.gov/books/NBK586669/
  8. CDC. Clinical Testing Guidance for Tuberculosis: Interferon Gamma Release Assay [Internet]. Tuberculosis (TB). 2024. Available from: https://www.cdc.gov/tb/hcp/testing-diagnosis/interferon-gamma-release-assay.html
  9. A guide to aid the selection of diagnostic tests [Internet]. www.who.int. Available from: https://www.who.int/publications/i/item/BLT.16.187468
  10. Land KJ, Boeras DI, Chen XS, Ramsay AR, Peeling RW. REASSURED diagnostics to inform disease control strategies, strengthen health systems and improve patient outcomes. Nature Microbiology. 2019 Jan 1;4(1):46–54.
  11. Otoo JA, Schlappi TS. REASSURED Multiplex Diagnostics: A Critical Review and Forecast. Biosensors. 2022 Feb 16;12(2):124.
  12. Namuganga AR, Nsereko M, Bagaya BS, Mayanja-Kizza H, Chegou NN. Differential expression of host protein biomarkers among symptomatic clinic attendees finally diagnosed with tuberculosis and other respiratory diseases with or without latent Mycobacterium tuberculosis infection. Immunology letters [Internet]. 2023 Jan;253:8–18. Available from: https://pubmed.ncbi.nlm.nih.gov/36463987/
  13. Green Alexander A, Silver Pamela A, Collins James J, Yin P. Toehold Switches: De-Novo-Designed Regulators of Gene Expression. Cell. 2014 Nov;159(4):925–39.
  14. Ekdahl AM, Rojano-Nisimura AM, Contreras LM. Engineering Toehold-Mediated Switches for Native RNA Detection and Regulation in Bacteria. Journal of Molecular Biology. 2022 Sep;434(18):167689.
  15. Sai Sumanjali Yarra, Ashok G, Mohan U. “Toehold Switches; a foothold for Synthetic Biology.” Biotechnology and Bioengineering. 2022 Dec 17;120(4):932–52.
  16. BMJ Open. 2019 [cited 2025 Oct 4]. Available from: https://bmjopen.bmj.com/content/10/10/e039501
  17. Wang S, Emery NJ, Liu AP. A Novel Synthetic Toehold Switch for MicroRNA Detection in Mammalian Cells. ACS Synthetic Biology. 2019 Apr 30;8(5):1079–88.
  18. Hoang Trung Chau T, et al. Developments of Riboswitches and Toehold Switches for Molecular Detection—Biosensing and Molecular Diagnostics. International Journal of Molecular Sciences [Internet]. 2020;21(9):3192. Available from: https://www.mdpi.com/1422-0067/21/9/3192/htm
  19. Lyu L, Zhang X, Li C, Yang T, Wang J, Pan L, et al. Small RNA Profiles of Serum Exosomes Derived From Individuals With Latent and Active Tuberculosis. Frontiers in Microbiology. 2019 May 28;10.
  20. Cui X, Meng H, Li M, Chen X, Yuan D, Wu C. Exosomal Small RNA Sequencing Profiles in Plasma from Subjects with Latent Mycobacterium tuberculosis Infection. Microorganisms [Internet]. 2024 Jul 12;12(7):1417–7. Available from: https://pmc.ncbi.nlm.nih.gov/articles/PMC11278582/
  21. Wang L, Xiong Y, Fu B, Guo D, Zaky MY, Lin X, et al. MicroRNAs as immune regulators and biomarkers in tuberculosis. Frontiers in Immunology. 2022 Oct 27;13.
  22. Chakrabarty S, Kumar A, Raviprasad K, Mallya S, Satyamoorthy K, Chawla K. Host and MTB genome encoded miRNA markers for diagnosis of tuberculosis. Tuberculosis (Edinburgh, Scotland) [Internet]. 2019 May;116:37–43. Available from: https://pubmed.ncbi.nlm.nih.gov/31153517/
  23. Sullivan R, Montgomery A, Scipioni A, Jhaveri P, Schmidt AT, Hicks SD. Confounding Factors Impacting microRNA Expression in Human Saliva: Methodological and Biological Considerations. Genes [Internet]. 2022 Oct 16;13(10):1874–4. Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9602126/
  24. El-Mogy M, Lam B, Haj-Ahmad TA, McGowan S, Yu D, Nosal L, et al. Diversity and signature of small RNA in different bodily fluids using next generation sequencing. BMC Genomics. 2018 May 29;19(1).
  25. Takizawa S, Matsuzaki J, Ochiya T. Circulating microRNAs: Challenges with their use as liquid biopsy biomarkers. Cancer Biomarkers. 2022 Jun 23;1–9.
  26. Ge Q, Zhou Y, Lu J, Bai Y, Xie X, Lu Z. miRNA in Plasma Exosome is Stable under Different Storage Conditions. Molecules. 2014 Jan 27;19(2):1568–75.
  27. Muth DC, Powell BH, Zhao Z, Witwer KW. miRNAs in platelet-poor blood plasma and purified RNA are highly stable: a confirmatory study. BMC Research Notes. 2018 May 4;11(1).
  28. Köberle V, Pleli T, Schmithals C, Alonso EA, Jörg Haupenthal, Halvard Bönig, et al. Differential Stability of Cell-Free Circulating microRNAs: Implications for Their Utilization as Biomarkers. PLoS ONE. 2013 Sep 20;8(9):e75184–4.
  29. Sharma A, Srivastava P, Sharma A, Sharma M, Vashisht P, Sawhney M. Micro-RNA: A potential screening marker for latent tuberculosis. IP International Journal of Medical Microbiology and Tropical Diseases [Internet]. 2023 Apr 15;9(1):1–5. Available from: https://ijmmtd.org/archive/volume/9/issue/1/article/8794#article
  30. Daniel EA, Sathiyamani B, Thiruvengadam K, Vivekanandan S, Vembuli H, Hanna LE. MicroRNAs as diagnostic biomarkers for Tuberculosis: A systematic review and meta- analysis. Frontiers in Immunology. 2022 Sep 27;13.
  31. Várallyay É, Burgyán J, Havelda Z. MicroRNA detection by northern blotting using locked nucleic acid probes. Nature Protocols [Internet]. 2008 Jan 17;3(2):190–6. Available from: https://www.nature.com/articles/nprot.2007.528
  32. Valoczi A. Sensitive and specific detection of microRNAs by northern blot analysis using LNA-modified oligonucleotide probes. Nucleic Acids Research. 2004 Dec 14;32(22):e175–5.
  33. van Rooij E. The Art of MicroRNA Research. Circulation Research. 2011 Jan 21;108(2):219–34.
  34. Northern Blot / RNA Blot [Internet]. News-Medical.net. 2016. Available from: https://www.news-medical.net/life-sciences/Northern-Blot-RNA-Blot.aspx
  35. Chen Y, Gelfond JA, McManus LM, Shireman PK. Reproducibility of quantitative RT-PCR array in miRNA expression profiling and comparison with microarray analysis. BMC Genomics. 2009;10(1):407.
  36. Ouyang T, Liu Z, Han Z, Ge Q. MicroRNA Detection Specificity: Recent Advances and Future Perspective. Analytical Chemistry. 2019 Jan 31;91(5):3179–86.
  37. Kurec A. Noise pollution and the lab environment [Internet]. Mlo-online.com. 2017 [cited 2025 Oct 4]. Available from: https://www.mlo-online.com/molecular/article/13009492/challenges-for-implementing-ngs-in-the-clinical-lab
  38. Siddika T, Heinemann IU. Bringing MicroRNAs to Light: Methods for MicroRNA Quantification and Visualization in Live Cells. Frontiers in Bioengineering and Biotechnology. 2021 Jan 18;8.
  39. Moody L, He H, Pan YX, Chen H. Methods and novel technology for microRNA quantification in colorectal cancer screening. Clinical Epigenetics. 2017 Oct 24;9(1).
  40. Kappel A, Keller A. miRNA assays in the clinical laboratory: workflow, detection technologies and automation aspects. Clinical Chemistry and Laboratory Medicine (CCLM). 2017 Jan 1;55(5).
  41. Hassan YM, Mohamed AS, Hassan YM, El-Sayed WM. Recent developments and future directions in point-of-care next-generation CRISPR-based rapid diagnosis. Clinical and Experimental Medicine [Internet]. 2025 Jan 9;25(1). Available from: https://pmc.ncbi.nlm.nih.gov/articles/PMC11717804/
  42. Ilkay Cisil Koksaldi, Park D, Abdurahman Attila, Kang H, Kim J, Urartu Ozgur Safak Seker. RNA-Based Sensor Systems for Affordable Diagnostics in the Age of Pandemics. ACS Synthetic Biology. 2024 Apr 8;13(4):1026–37.
  43. Sarkar P et al. RNA toehold switch-based reporter assay to assess bacterial uptake of antisense oligomers. mBio [Internet]. 2025 Apr;16(4):1-23. Available from: https://pubmed.ncbi.nlm.nih.gov/40035593/
  44. Team:Exeter/Toehold Design - 2015.igem.org [Internet]. Igem.org. 2015. Available from: https://2015.igem.org/Team:Exeter/Toehold_Design
  45. Pardee K et al. Paper-Based Synthetic Gene Networks. Cell. 2014 Nov;159(4):940–54. Available from: https://www.cell.com/fulltext/S0092-8674(14)01291-4
  46. Zhou P et al. Cyclic chain displacement amplification-based dual-miRNA detection: a triple-line lateral flow strip for the diagnosis of lung cancer. Chemical Communications [Internet]. 2021 Jan 1;57(92):12301–4. Available from: https://pubs.rsc.org/en/content/articlelanding/2021/cc/d1cc05442b
  47. Sun H et al. A novel CRISPR/Cas13a biosensing platform comprising dual hairpin probe and traditional lateral flow assays. Sensors and Actuators B: Chemical [Internet]. 2024 Oct 9;423:136752. Available from: https://www.sciencedirect.com/science/article/abs/pii/S0925400524014825
  48. Wang M et al. A lateral flow assay for miRNA-21 based on CRISPR/Cas13a and MnO2 nanosheets-mediated recognition and signal amplification. Analytical and Bioanalytical Chemistry. 2024 Apr 17;416(14):3401–13. Available from: https://link.springer.com/article/10.1007/s00216-024-05290-0
  49. Wei R et al. A lateral flow assay strip for simultaneous detection of miRNA and exosomes in liver cancer. Chemical Communications [Internet]. 2024;60(58):7491–4. Available from: https://pubs.rsc.org/en/content/articlelanding/2024/cc/d4cc02559h
  50. TAKALKAR S et al. Gold Nanoparticle Coated Silica Nanorods for Sensitive Visual Detection of microRNA on a Lateral Flow Strip Biosensor. Analytical Sciences. 2016;32(6):617–22. Available from: https://link.springer.com/article/10.2116/analsci.32.617
  51. Tian B et al. Tandem CRISPR nucleases-based lateral flow assay for amplification-free miRNA detection via the designed “locked RNA/DNA” as fuels. Talanta. 2024 Jan;266:124995. Available from: https://www.sciencedirect.com/science/article/pii/S0039914023007464
  52. Zhang H et al. DNAzyme-RCA-based colorimetric and lateral flow dipstick assays for the point-of-care testing of exosomal m5C-miRNA-21. Chemical Science [Internet]. 2024 May 22;15(24):9345–52. Available from: https://www.sciencedirect.com/org/science/article/pii/S2041652024007594
  53. Liu J et al. An immunoassay-like recognition mechanism-based lateral flow strategy for rapid microRNA analysis. Chemical Communications [Internet]. 2023 Jan 1;59(79):11851–4. Available from: https://pubs.rsc.org/en/content/articlelanding/2023/cc/d3cc03788f
  54. Collecting blood for a blood spot card - Overview [Internet]. Guy’s and St Thomas’ NHS Foundation Trust. Available from: https://www.guysandstthomas.nhs.uk/health-information/collecting-blood-blood-spot-card
  55. Blade L. BD Microtainer Contact - Activated Lancet Blade 1.5mm Width [Pack of 200] [Internet]. Ahpmedicals.com. 2024. Available from: https://www.ahpmedicals.com/bd-microtainer-contact-activated-lancet-blade-1-5mm-width-200.html
  56. Miron RJ, Zhang Y. Understanding exosomes: Part 1—Characterization, quantification and isolation techniques. Periodontology 2000. 2023 Sep 22.
  57. Kurian TK, Banik S, Gopal D, Chakrabarti S, Mazumder N. Elucidating Methods for Isolation and Quantification of Exosomes: A Review. Molecular Biotechnology. 2021 Jan 25;63(4):249–66.
  58. Amirsasan Gorgzadeh, Nazari A, Ehsan A, Diba Safarzadeh, Hassan, Saman Mohammadzadehsaliani, et al. A state-of-the-art review of the recent advances in exosome isolation and detection methods in viral infection. Virology Journal. 2024 Jan 30;21(1).
  59. Salmond N, Williams KC. Isolation and characterization of extracellular vesicles for clinical applications in cancer – time for standardization? Nanoscale Advances. 2021;3(7):1830–52.
  60. Yu LL, Zhu J, Liu JX, Jiang F, Ni WK, Qu LS, et al. A Comparison of Traditional and Novel Methods for the Separation of Exosomes from Human Samples. BioMed Research International [Internet]. 2018;2018:1–9. Available from: https://www.hindawi.com/journals/bmri/2018/3634563/
  61. Wang W, Sun H, Duan H, Sheng G, Tian N, Liu D, et al. Isolation and usage of exosomes in central nervous system diseases. CNS Neuroscience & Therapeutics. 2024 Mar 1;30(3).
  62. Sidhom K, Obi PO, Saleem A. A Review of Exosomal Isolation Methods: Is Size Exclusion Chromatography the Best Option? International Journal of Molecular Sciences. 2020 Sep 4;21(18):6466.
  63. Diaz G, Bridges C, Lucas M, Cheng Y, Schorey JS, Dobos KM, et al. Protein Digestion, Ultrafiltration, and Size Exclusion Chromatography to Optimize the Isolation of Exosomes from Human Blood Plasma and Serum. Journal of Visualized Experiments. 2018 Apr 13;(134).
  64. An M, Wu J, Zhu J, Lubman DM. Comparison of an Optimized Ultracentrifugation Method versus Size-Exclusion Chromatography for Isolation of Exosomes from Human Serum. Journal of Proteome Research. 2018 Sep 7;17(10):3599–605.
  65. Farshid Jaberi Ansari, Hossein Ahmadi Tafti, Amir Amanzadeh, Rabbani S, Mohammad Ali Shokrgozar, Heidari R, et al. Comparison of the efficiency of ultrafiltration, precipitation, and ultracentrifugation methods for exosome isolation. Biochemistry and Biophysics Reports. 2024 Jul 1;38:101668–8.
  66. Shu SL, Yang Y, Allen CL, Hurley E, Tung KH, Minderman H, et al. Purity and yield of melanoma exosomes are dependent on isolation method. Journal of Extracellular Vesicles. 2019 Nov 20;9(1):1692401.
  67. Yakubovich EI, Polischouk AG, Evtushenko VI. Principles and Problems of Exosome Isolation from Biological Fluids. Biochemistry (Moscow) Supplement Series A, Membrane and Cell Biology [Internet]. 2022;16(2):115. Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9202659/
  68. Dilsiz N. A comprehensive review on recent advances in exosome isolation and characterization: Toward clinical applications. Translational Oncology [Internet]. 2024 Dec;50:102121. Available from: https://www.sciencedirect.com/science/article/pii/S1936523324002481
  69. Ludwig AK, De Miroschedji K, Doeppner TR, Börger V, Ruesing J, Rebmann V, et al. Precipitation with polyethylene glycol followed by washing and pelleting by ultracentrifugation enriches extracellular vesicles from tissue culture supernatants in small and large scales. Journal of Extracellular Vesicles [Internet]. 2018 Oct 17;7(1). Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6197019/
  70. Hsieh K, Mach KE, Zhang P, Liao JC, Wang TH. Combating Antimicrobial Resistance via Single-Cell Diagnostic Technologies Powered by Droplet Microfluidics. Accounts of Chemical Research. 2021 Dec 13;55(2):123–33.
  71. Kuo JN et al. Microfluidic blood-plasma separation chip using channel size filtration effect. Microsystem Technologies. 2017 Oct 26;24(4):2063–70.
  72. Cohn CS et al. Blood and Its Components. JAMA [Internet]. 2023 Nov 21;330(19):1903–4. Available from: https://pubmed.ncbi.nlm.nih.gov/37988099/
  73. Moghassemi S et al. Extracellular vesicles in nanomedicine and regenerative medicine: A review over the last decade. Bioactive Materials. 2024 Jun;36:126–56.
  74. Davies RT, Kim J, Jang SC, Choi EJ, Gho YS, Park J. Microfluidic filtration system to isolate extracellular vesicles from blood. Lab on a Chip. 2012;12(24):5202.
  75. Simms CL, Zaher HS. Quality control of chemically damaged RNA. Cellular and Molecular Life Sciences. 2016 Oct 1;73(19):3639–53. Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5025279/
  76. Chheda U et al. Factors affecting stability of RNA – temperature, length, concentration, pH, and buffering species. Journal of Pharmaceutical Sciences. 2023 Nov 1;113(2).
  77. Tenchov R et al. Exosomes─Nature’s Lipid Nanoparticles, a Rising Star in Drug Delivery and Diagnostics. ACS Nano [Internet]. 2022 Nov 22;16(11):17802–46. Available from: https://pubmed.ncbi.nlm.nih.gov/36354238/
  78. Schubert M et al. Thermal analysis of the crystallization and melting behavior of lipid matrices and lipid nanoparticles containing high amounts of lecithin. International Journal of Pharmaceutics. 2005 Jul 1;298(1):242–54.
  79. Innovative Sensor Technology. Micro heater for up to 400 °C | IST AG [Internet]. Ist-ag.com. 2015. Available from: https://www.ist-ag.com/en/products/micro-heater-400-degc
  80. Budd J et al. Lateral flow test engineering and lessons learned from COVID-19. Nature Reviews Bioengineering [Internet]. 2023 Jan 19;1(1):13–31. Available from: https://www.nature.com/articles/s44222-022-00007-3
  81. Koczula KM, Gallotta A. Lateral flow assays. Essays In Biochemistry [Internet]. 2016 Jun 30;60(1):111–20. Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4986465/