Jeff Gilchrist Profile picture
Nov 24, 2023 48 tweets 12 min read Read on X
Why can you still smell things wearing an effective mask?

You can smell nasty things like smoke and rotten eggs even with fit tested #N95 respirators which block tiny viruses/bacteria because the smell molecules have atomic masses that are 17 million times less than a virus.🧵1/
Image of a woman wearing an N95 respirator with an expression of disgust from smelling something bad. Generated using Bing Image Creator powered by DALL-E 3 using prompt, "A person wearing an N95 mask with an expression of disgust from smelling something bad"
Graph using logarithmic scale showing difference in atomic mass (Daltons) of various gases like oxygen, carbon dioxide and some you can smell ranging from 32 to 131 Daltons while the COVID-19 virus is millions of times more at 602 million Daltons and the aerosol it travels in is billions of times more at 160 billion Daltons.
This long thread (with info from @Wikisteff) explains how molecules detected in our olfactory receptors as #smells can pass through material in #masks, #respirators, and #filters (HEPA/MERV-13/CR Boxes) while still blocking tiny particles like #viruses and #particulate matter. 2/
An unrolled one-page web view for this long thread that may be easier to read or share can be found here ( ). 3/
First, some background information. A dalton (Da) or unified atomic mass unit (u) is commonly used in physics and chemistry to express the mass of atomic-scale objects such as atoms, molecules, and elementary particles ( ). 4/en.wikipedia.org/wiki/Dalton_(u…
Oxygen (O2) that we breathe is 32 Da and carbon dioxide (CO2) that we exhale is 44 Da. Other gases that we smell like hydrogen sulfide (H2S) which smells like rotten eggs is only 34 Da, and sulfur dioxide (SO2) the burning smell after lighting a match is 64 Da. 5/ Atomic stucture diagrams of Oxygen (O2), sulfur dioxide (SO2), and carbon dioxide (CO2). Diagrams from: https://pubchem.ncbi.nlm.nih.gov/
When you pass gas (fart) the smell comes from a multitude of molecules including:
- Hydrogen Sulfide (H2S) = 34 Da
- Methanethiol (CH3SH)= 48 Da
- Dimethyl Sulfide (CH3)2S = 62 Da
- Indole (C8H7N) = 117 Da
- Skatole (C9H9N) = 131 Da

6/
This is very important to understand because by comparison, a single COVID-19 virus particle (virion) has a mass of 602,217,364 Da or 17 million times more than the rotten egg smelling hydrogen sulfide at 34 Da ( ). 7/pnas.org/doi/10.1073/pn…
It is estimated that a COVID-19 infected person carries between 1 billion and 100 billion virions during peak infection ( ). 8/pnas.org/doi/10.1073/pn…
Viruses don't travel on their own through the air, they actually catch rides in aerosols which also contain water, mucins from the lining of the lungs, deep lung fluid and surfactants to make up the complex blob you see in the image ( ). 9/
Image showing respiratory aerosol and its contents (water, mucins from the lining of the lungs, deep lung fluid and surfactants). Image from: https://www.nytimes.com/interactive/2021/12/01/science/coronavirus-aerosol-simulation.html?smid=tw-share
Multiple studies have found the highest concentration of virus in aerosol particles are in the smaller size ranges which can stay in the air for extended periods of time and lowest concentration in larger droplets that fall to the ground quickly. 10/
COVID-19 was detected in aerosol particles ranging in size from 0.34 micrometers (um) to larger than 8.1 um with the highest concentrations found in particle sizes ranging from 0.94 um, to 28.8 um ( ). 11/tandfonline.com/doi/full/10.10…
@Wikisteff estimates the molecular mass of a 0.8 um largely water based aerosol (which is at the smaller end of the aerosol size spectrum but with highest concentrations of COVID-19 virus) would be approximately 160,000,000,000 (160 billion) Da ( ). 12/ncbi.nlm.nih.gov/pmc/articles/P…
You can see from the graph there is a monstrous difference in mass between gases you can smell like hydrogen sulfide (34 Da) and the bare COVID-19 virus (602 million Da) and the aerosols that COVID virus are transported in (160 billion Da). 13/ Graph using logarithmic scale showing difference in atomic mass (Daltons) of various gases like oxygen, carbon dioxide and some you can smell ranging from 32 to 131 Daltons while the COVID-19 virus is millions of times more at 602 million Daltons and the aerosol it travels in is billions of times more at 160 billion Daltons. Note the graph is in logarithmic scale so each number on the vertical axis scale is 100x larger than the one below.
Note the graph is in logarithmic scale so each number on the vertical axis scale is 100x larger than the one below. 14/
We know that people can still breathe while wearing masks and respirators so oxygen (32 Da) and carbon dioxide (44 Da) can pass through the filtering material easily which have similar atomic mass to the smell gases (34 to 131 Da) which can also pass through. 15/
In order for a respirator to be effective at blocking viruses and particulate matter it needs to block particles that are 17 million times larger mass than gas to stop a COVID-19 virus and 4.7 billion times larger mass to stop an aerosol that the virus would be travelling in. 16/
So now you know that smelly gases have a similar mass to oxygen and why they can easily pass through mask/respirator material just like oxygen but can N95 respirators actually filter these million and billion times larger mass particles of viruses and bacteria? Yes! 17/
Scientists and engineers who designed these respirators did actually test them to ensure they did filter viruses and bacteria and even came up with standards for determining the efficiency with real viruses and bacteria. H/T: @ghhughes 18/
Bacterial filtration efficiency (BFE) is tested using the ASTM F2101 standard and multiple tests were conducted in this study using the S. aureus bacteria... 19/
while viral filtration efficiency (VFE) was tested using the single-stranded DNA virus bacteriophage phiX174 ( ). 20/ncbi.nlm.nih.gov/pmc/articles/P…
The study found that the N95 respirators they tested filtered more than 99.62% of the bacteria and more than 99.8% of the virus which is much higher than the required 95% filtration needed by the N95 standard to pass. 21/ Table showing Filtration efficiencies for N95 FFR, surgical N95 FFR, and surgical mask models using the NIOSH NaCl, PFE, BFE, and VFE test methods. Image from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7157953/
So there you have it, N95 respirators can actually filter viruses and bacteria and are actually tested with a standard to ensure so. 22/
To learn more about how N95 respirators and HEPA/HVAC filters can filter out such small particles like virus aerosols and particulate matter from smoke (does not work like a sieve), see this thread which explains the physics ( ). 23/
Ok so we have now confirmed the filtering material itself can filter viruses and bacteria, but what about a respirator on the face of a real person in the real world, does that still work? 24/
Thankfully engineers have also built equipment called a condensation particle counter (CPC) to measure the particles both outside and inside a respirator simultaneously. 25/ Photo showing quantitative fit testing with someone wearing a mask with tubes connected to measure the aerosols in the room and comparing them to inside the mask. Photo from: https://www.youtube.com/watch?v=2xyNg2s1u7c
This testing occurs while the person is wearing the respirator so they can measure exactly how well the respirator is filtering on your face in the real world. 26/
Some of you may have already experienced this through a respirator fit test. You can learn more about how quantitative fit testing with CPC equipment is done in this thread ( ). 27/
As @ghhughes points out, CPC fit testing equipment can measure particle sizes all the way down to 0.02 um in size, much smaller than the COVID-19 virus on its own and the even larger aerosols the virus travels in. 28/
This also demonstrates that N95 respirators can be tested and shown to filter out tiny 0.07 um size particles the size of individual viruses with good fitting N95s measuring less than 0.5% total inward leakage of particles down to 0.02 um. 29/
Since the CPC is testing the level of particles inside the mask while being worn, the results also take into account any gaps around the mask that might be leaking particles in without being filtered ( ). 30/
The most important factor is how well a respirator fits on your face so there is minimal leakage around gaps as some respirators fit people very well and others very poorly. Click "Show replies" 👇 to continue. 31/
You can learn about my fit testing adventure where I found one mask leaked 70x more than another on my face ( ). 32/
The respirator that fit me best was measured to only have 0.2% leakage on my face so filtering 99.8% of particles but when the major wildfire smoke events were happening this summer I could still smell the smoke outside. 33/
Recall that the smoke gas molecules you can smell are billions of times less mass than the smoke particulate matter so while the N95 respirator is filtering out those toxic PM particles. 34/
N95s are not designed to filter out gases so you can still smell and are being exposed to any toxic gases that are in the air. For that kind of protection you need elastomeric respirators with gas filtering cartridges specifically designed for those gases. 35/
What about HVAC, HEPA, and CR box filtration, do they work to filter viruses from the air as well? Yes! The Environmental Protection Agency (EPA) recently conducted some tests with CR boxes which use MERV-13 HVAC filters ( ). 36/s.uconn.edu/EPAresults
The EPA aerosolized non-pathogenic virus (bacteriophage MS2) and measured particle size (0.01 um to 0.6 um) and concentration during the testing in a 3000 square foot test chamber. 37/
They found the virus particle concentration was reduced by 40% after 15 minutes, 97% after 30 minutes, 99.4% after 60 minutes and 99.8% after 90 minutes. 38/ Table and graphs showing EPA bioaerosol results. Reductions calculated by averaging results of three control test replicates and three EPA CR box test replicates. Image from: https://s.uconn.edu/EPAresults
More details about this EPA CR box testing project are described here ( ). 39/
Just like we expect to have access to clean drinking water, we should be demanding that our governments also provide access to clean air. Recently 60-Minutes did an episode on The Air We Breathe which can be seen here ( ). 40/cbsnews.com/video/indoor-a…
Everyone should be aware of the importance of indoor air quality, find out more here ( ). 41/
This thread was inspired by posts made by @jossreimer ( ) and @Wikisteff ( ) on smells while masking. 42/
@threadreaderapp please unroll
It is important to note that masks can also reduce some smells and block others all together, it all depends on how the smell molecules arrive; if they are tiny gases on their own or if they are larger particles that get filtered. 43/
I forgot to highlight that N95 filtering material has the hardest time with 0.3 um particle size but actually does better with smaller and larger particle sizes as shown here ( ). Thanks @ToshiAkima. 44/
The explanation why the filters work better with smaller and larger particles is explained here ( ). 45/
Arg, I added an extra 0 in the graph for the atomic mass of the COVID virus. The text is correct at 602 million Da, but here is the corrected chart. Graph using logarithmic scale showing difference in atomic mass (Daltons) of various gases like oxygen, carbon dioxide and some you can smell ranging from 32 to 131 Daltons while the COVID-19 virus is millions of times more at 602 million Daltons and the aerosol it travels in is billions of times more at 160 billion Daltons. Note the graph is in logarithmic scale so each number on the vertical axis scale is 100x larger than the one below.
Arg, I added an extra 0 in the graph for the atomic mass of the COVID virus. The text is correct at 602 million Da, but here is the corrected chart. 46/ Graph using logarithmic scale showing difference in atomic mass (Daltons) of various gases like oxygen, carbon dioxide and some you can smell ranging from 32 to 131 Daltons while the COVID-19 virus is millions of times more at 602 million Daltons and the aerosol it travels in is billions of times more at 160 billion Daltons. Note the graph is in logarithmic scale so each number on the vertical axis scale is 100x larger than the one below.

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More from @jeffgilchrist

Apr 29
People are rightfully concerned about the high case fatality rate (CFR) of the H5N1 influenza virus but did you know fatalities from COVID infection (which already spreads easily between humans) with the elderly are as high as 40% ( )? 🧵1/
Virus infection can damage the body, we have seen this with Long COVID and this can happen with other viruses as well such as Influenza causing increased risk of cardiovascular events among other things. 2/
This study tries to indirectly measure the impact of influenza infection by looking at cardiovascular events and then measuring the risk people had if they received the influenza vaccine or not( … ). 3/ H/T: @JaninePaynterncbi.nlm.nih.gov/pmc/articles/P…
Read 12 tweets
Apr 28
#Variant update for #Ontario, #Canada (to Apr. 17, 2024)

The JN.1.* +FLiRT variants now make up 20% of sequences and XDK.* which is recombinant of JN.1.1.1 and XBB.1.16.11 has made an appearance at 5%. Graph tools by @Mike_Honey_ 🧵1/
Sankey graph (height of each bar is # of sequences for that variant) showing top variants and their lineages over the past couple of months from PCR test genomic sequencing in Ontario, Canada. Visualization tool was created by @Mike_Honey_ ( https://app.powerbi.com/view?r=eyJrIjoiNzE5YzczODItMDQzMS00M2EzLWFjNWYtMjg3OTY3NTNhZDM3IiwidCI6ImRjMWYwNGY1LWMxZTUtNDQyOS1hODEyLTU3OTNiZTQ1YmY5ZCIsImMiOjEwfQ%3D%3D&pageName=ReportSection32240d6b62ba73667e98 )
Graph of top 7 COVID variant clans from PCR test genomic sequencing in Ontario, Canada. Visualization tool was created by @Mike_Honey_ ( https://app.powerbi.com/view?r=eyJrIjoiNzE5YzczODItMDQzMS00M2EzLWFjNWYtMjg3OTY3NTNhZDM3IiwidCI6ImRjMWYwNGY1LWMxZTUtNDQyOS1hODEyLTU3OTNiZTQ1YmY5ZCIsImMiOjEwfQ%3D%3D
FLiRT is a nickname for variants with F456L & R356T mutations which seem to provide an advantage over the JN.1 Pirola variants without them. You can see the current FLiRT variants here from @dfocosi. 2/ Chart of BA.2.86* variant convergence and latest FLiRT mutations. Chat by @dfocosi ( https://twitter.com/dfocosi/status/1780183036853690596 )
JN.1 #Pirola has dropped to around 20% frequency and JN.1.4 is hovering at 14% while the FLiRTs are gaining: KS.1 at 10%, KP.1.1 at 4%, KP.2 at 3% and XDK.1 at 4%. 3/ Graph of top 8 COVID variants (JN.1, JN.1.16.1, JN.1.4, KP.1.1, KP.2, KS.1, XDK.1) from PCR test genomic sequencing in Ontario, Canada. Visualization tool was created by @Mike_Honey_ ( https://app.powerbi.com/view?r=eyJrIjoiNzE5YzczODItMDQzMS00M2EzLWFjNWYtMjg3OTY3NTNhZDM3IiwidCI6ImRjMWYwNGY1LWMxZTUtNDQyOS1hODEyLTU3OTNiZTQ1YmY5ZCIsImMiOjEwfQ%3D%3D )
Read 17 tweets
Apr 20
#Variant update for #Ontario, #Canada (to Apr. 9, 2024)

The regular BA.2.86.*/JN.1.* #Pirola clan of variants as you know them are starting to go down in Ontario. This is because descendants are picking up two very useful FLiRT mutations. Graph tools by @Mike_Honey_ 🧵1/
Sankey graph (height of each bar is # of sequences for that variant) showing top variants and their lineages over the past couple of months from PCR test genomic sequencing in Ontario, Canada. Visualization tool was created by @Mike_Honey_ ( https://app.powerbi.com/view?r=eyJrIjoiNzE5YzczODItMDQzMS00M2EzLWFjNWYtMjg3OTY3NTNhZDM3IiwidCI6ImRjMWYwNGY1LWMxZTUtNDQyOS1hODEyLTU3OTNiZTQ1YmY5ZCIsImMiOjEwfQ%3D%3D&pageName=ReportSection32240d6b62ba73667e98 )
Graph of top 7 COVID variant clans from PCR test genomic sequencing in Ontario, Canada. Visualization tool was created by @Mike_Honey_ ( https://app.powerbi.com/view?r=eyJrIjoiNzE5YzczODItMDQzMS00M2EzLWFjNWYtMjg3OTY3NTNhZDM3IiwidCI6ImRjMWYwNGY1LWMxZTUtNDQyOS1hODEyLTU3OTNiZTQ1YmY5ZCIsImMiOjEwfQ%3D%3D
FLiRT is a nickname for variants with F456L & R356T mutations which seem to provide an advantage over the JN.1 Pirola variants without them. You can see the current FLiRT variants here from @dfocosi. 2/ Chart of BA.2.86* variant convergence and latest FLiRT mutations. Chat by @dfocosi ( https://twitter.com/dfocosi/status/1780183036853690596 )
Now that most variants with FLiRT have designations, you can see that JN.1 has dropped to 20% frequency while the new KP.3 FLiRT has jumped to 17.5%. The KS.1 FLiRT variant has also increased to 11% and KP.2 FLiRT is in the mix as well. 3/ Graph of top 8 COVID variants (JN.1, JN.1.13.1, JN.1.4, JN.1.7, JN.1.8.1, KP.2, KP.3, KS.1) from PCR test genomic sequencing in Ontario, Canada. Visualization tool was created by @Mike_Honey_ ( https://app.powerbi.com/view?r=eyJrIjoiNzE5YzczODItMDQzMS00M2EzLWFjNWYtMjg3OTY3NTNhZDM3IiwidCI6ImRjMWYwNGY1LWMxZTUtNDQyOS1hODEyLTU3OTNiZTQ1YmY5ZCIsImMiOjEwfQ%3D%3D )
Read 13 tweets
Mar 25
PHO is reminding HCWs, even those who have been vaccinated, to wear an N95 while providing care to people with confirmed or suspected cases because they know N95s can prevent infection from infectious aerosols. Works for other airborne viruses as well and non-HCW too.
Respirators protect individuals who are healthy and help reduce the chance of individuals who are sick from infecting others even in well ventilated places where short-range transmission is a concern. 2/
Yes, respirators actually work, read this thread to learn how ( ). 3/
Read 7 tweets
Mar 25
Virus update for Ottawa, Canada (Mar 25, 2024)

COVID-19 #Wastewater levels in #Ottawa have finally declined significantly but lower does not mean gone as PCR test positivity rates are still at 7.6% ( ). 🧵1/ covid.gilchrist.ca/Ottawa.html
Graph of COVID-19 wastewater levels in Ottawa, Ontario. Weekly stats available at ( http://covid.gilchrist.ca/Ottawa.html )
RSV WW levels are 7.7x lower than the peak which was much lower than last year. Influenza had much higher peaks this year than last year and while Flu A levels are low, Flu B hit its peak at the beginning of March and is now declining but still above the peak from last year. 2/ Graph of RSV, Influenza A & B wastewater levels in Ottawa, Ontario. Weekly stats available at ( http://covid.gilchrist.ca/Ottawa.html )
Ottawa Public Health (OPH) stopped updating its COVID dashboard and now produces new stats on their updated respiratory virus dashboard ( ). 3/ottawapublichealth.ca/en/reports-res…
Read 12 tweets
Mar 24
#Variant update for #Ontario, #Canada (to Mar. 14, 2024)

The BA.2.86.* #Pirola clan of variants has made most other lineages extinct in Ontario. The SanKey shows the situation is now much simpler and almost exclusively JN.1 and descendants. Graph tools by @Mike_Honey_ 🧵1/
Sankey graph (height of each bar is # of sequences for that variant) showing top variants and their lineages over the past couple of months from PCR test genomic sequencing in Ontario, Canada. Visualization tool was created by @Mike_Honey_ ( https://app.powerbi.com/view?r=eyJrIjoiNzE5YzczODItMDQzMS00M2EzLWFjNWYtMjg3OTY3NTNhZDM3IiwidCI6ImRjMWYwNGY1LWMxZTUtNDQyOS1hODEyLTU3OTNiZTQ1YmY5ZCIsImMiOjEwfQ%3D%3D&pageName=ReportSection32240d6b62ba73667e98 )
Graph of top 7 COVID variant clans from PCR test genomic sequencing in Ontario, Canada. Visualization tool was created by @Mike_Honey_ ( https://app.powerbi.com/view?r=eyJrIjoiNzE5YzczODItMDQzMS00M2EzLWFjNWYtMjg3OTY3NTNhZDM3IiwidCI6ImRjMWYwNGY1LWMxZTUtNDQyOS1hODEyLTU3OTNiZTQ1YmY5ZCIsImMiOjEwfQ%3D%3D
Right now the JN.1 and JN.1.4 Pirola variant are still the most prevalent. The JN.1.11.1 variant, its descendants (KP.*) and other FLiRT variants will be the ones to watch as they start growing in Ontario and may be able to escape immunity from JN.1 infections. 2/ Graph of top 8 COVID variants (JN.1, JN.1.1, JN.1.11.1, JN.1.2, JN.1.22,, JN.1.4, JN.1.7, JN.1.8.1) from PCR test genomic sequencing in Ontario, Canada. Visualization tool was created by @Mike_Honey_ ( https://app.powerbi.com/view?r=eyJrIjoiNzE5YzczODItMDQzMS00M2EzLWFjNWYtMjg3OTY3NTNhZDM3IiwidCI6ImRjMWYwNGY1LWMxZTUtNDQyOS1hODEyLTU3OTNiZTQ1YmY5ZCIsImMiOjEwfQ%3D%3D )
The % positivity from viral tests is quite a mixture now, the original Coronavirus in lead at 8.2% with COVID-19 in 2nd (6.3%) then Entero/Rhinovirus (5%), Human metapneumovirus (4.6%), Influenza A (4%), Influenza B (3.8%), Parainfluenza (3.4%) ( ). 3/ publichealthontario.ca/en/Data-and-An…
Table showing percentage positivity of respiratory virus activity in Ontario. Table from: https://www.publichealthontario.ca/en/Data-and-Analysis/Infectious-Disease/Respiratory-Virus-Tool
Read 8 tweets

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