OM DENNE EPISODE
Nature has spent billions of years perfecting energy transfer using microscopic iron-sulfur clusters, invisible atomic engines driving cellular respiration, metabolism, and charge transfer across all kingdoms of life. Mimicking this biological efficiency synthetically holds the key to artificial photosynthesis and carbon-neutral green technology.
Dr. Gwendolyn Bailey, Assistant Professor of Chemistry at the University of Minnesota, discusses her lab's recent article in "outer-sphere tuning." By engineering self-assembling nanoscale molecular cages, researchers can now encapsulate and stabilize fragile synthetic iron-sulfur clusters outside a biological environment. This structural chemistry opens pathways to capture industrial carbon dioxide emissions and convert them directly into sustainable hydrocarbon fuels, bypassing the immense energy deficits of current atmospheric carbon capture methods.
Beyond the bench science, the discussion unpacks the modern academic career path, tracing Dr. Bailey's journey from small-town British Columbia to a postdoctoral fellowship at Caltech. The dialogue highlights the systemic geographic mobility required to pursue advanced science, the mechanics of structuring a scientific paper, and the vital role funding institutions play in sustaining foundational chemistry research amidst shifting national policies.
Topics Covered
- Biological energy transfer and iron-sulfur protein functions
- The academic mobility pipeline and science career trajectories
- Synthesizing porous molecular cages and tetrahedral nano-frameworks
- Outer-sphere tuning, electron affinity, and bond covalency
- Converting industrial flue stack CO2 into sustainable hydrocarbons
- Iron-sulfur clusters in fast-charging battery technology
Chapters
(00:00) Biological Charge Transfer
(04:20) Academic Careers & Mobility
(07:17) Iron-Sulfur Clusters
(11:15) Mimicking Nature for Energy
(15:28) Protein Fragility & History
(18:39) Molecular Cage Hosts
(21:20) Geometry & Outer-Sphere Tuning
(24:00) Science Papers & Translation
(27:10) Electron Affinity & Covalency
(31:19) Funding & Robust Architectures
(33:40) Capturing CO2 for Green Fuels
(37:05) Fast-Charging Batteries
Links & Resources
Paper: Outer-Sphere Tuning of Synthetic Iron–Sulfur Clusters Within Nanoscale Cage Frameworks
Support: Pateron
Socials: Bluesky | Instagram | Facebook
Whimsical Wavelengths: Deep-dive conversations where a working scientist unpacks how we know what we know, one paper, one idea, or whimsical detour at a time. Hosted by Dr. Jeffrey Zurek (P.Geo)
VIS NOTER 🔗
UDSKRIFT 🔗
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lost in the fog of a cosmic storm floating on
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whimsical wavelengths is the norm dancing through
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the stars chasing spectrums of light riding the
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waves that are just out It's time again for Whimsical
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Wavelengths. Yes, it has been two weeks, and
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I'm your host, Dr. Jeffrey Zurek, volcanologist
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and geophysicist. Last episode, it was about
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rocks and debris going downhill. Today is very
00:00:44.009 --> 00:00:46.789
different, other than it is still fundamentally
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about energy. When it comes to converting energy
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and moving it around for animals and plants to
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use, we all rely on things like... iron sulfide
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molecules or other sulfide molecules with other
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metals because they're used for moving electrons
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around for use in the fundamental driving force
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of existence across all kingdoms of life whether
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you're the towering douglas fir capturing sunlight
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or the human sprinting across a field your cells
00:01:20.019 --> 00:01:23.780
are quietly orchestrating a microscopic ballet
00:01:23.780 --> 00:01:29.560
of charge transfer The part that makes all of
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this work is these metal sulfur clusters. Today,
00:01:35.480 --> 00:01:37.579
we're specifically talking about iron sulfur.
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Nature uses these complex atomic -scale engines,
00:01:42.019 --> 00:01:47.260
batteries, wires. Let's go with energy transporters
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to handle and transport all the energy of our
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cells, muscles, and, well, everything. If we
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know they exist and their function, We should
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be able to use them for... things? I'll have
00:02:02.359 --> 00:02:04.439
a guest in a moment who can break this down better
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than I. However, there is a catch. These compounds
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or molecules are fragile. Stripped away out of
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the body from the protected protein environment
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of a living cell, these synthetic clusters tend
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to degrade rapidly. So we haven't yet... crack
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the nut unlocking this mechanism into our own
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technology. Today we'll be talking with Dr. Gwen
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Bailey, an assistant professor in the Department
00:02:35.340 --> 00:02:37.360
of Chemistry at the University of Minnesota,
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and one of her recent papers where they may have
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cracked open a new way to mimic this behavior
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of biological proteins for iron sulfur molecules
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and provide shielding. Why does this matter outside
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of chemistry? Because cracking this code opens
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the door to robust, bio -inspired energy transfers
00:03:00.259 --> 00:03:06.580
that can operate outside of biology. By giving
00:03:06.580 --> 00:03:09.900
fragile iron -sulfur clusters a synthetic home,
00:03:10.080 --> 00:03:14.080
we can move one step closer to engineering artificial
00:03:14.080 --> 00:03:17.180
photosynthesis systems that can capture energy
00:03:17.180 --> 00:03:19.919
and convert waste molecules like carbon dioxide
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straight into clean, perhaps even storable fuels.
00:03:24.719 --> 00:03:27.960
It bridges the gap between ancient biological
00:03:27.960 --> 00:03:34.000
wiring and the future of green technology. So
00:03:34.000 --> 00:03:38.000
to put this into a bit of a stark contrast, today
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we can turn elements from our air into hydrocarbons.
00:03:43.680 --> 00:03:48.500
We can make rocket fuel from air, but... It is
00:03:48.500 --> 00:03:53.740
extremely energy intensive. So in the best case,
00:03:53.819 --> 00:03:59.280
today, if we put 25 kilowatt hours in, we will
00:03:59.280 --> 00:04:03.139
only get maybe 10 kilowatt hours of fuel out.
00:04:04.500 --> 00:04:09.379
That energy gap, that's not sustainable. Being
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able to make use of artificial photosynthesis
00:04:11.599 --> 00:04:15.060
to pull carbon out of the air, now we're getting
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somewhere. So without further ado, let's get
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to today's guest after this possible ad. So it's
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my great pleasure to welcome to Whimsical Wavelengths,
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Dr. Gwen Bailey. Thank you so much, Jeff. I'm
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super happy to be here. So before we get into
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introducing the science, I'd really like to get
00:04:35.000 --> 00:04:38.899
into how us humans jump into this endeavor of
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science and the scientific method. I mean, we
00:04:41.500 --> 00:04:43.980
both grew up in similar necks of the woods. in
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British Columbia, small little towns, in the
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Kootenays, which is in the province of British
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Columbia for those that are international, in
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Canada. There are some local colleges, but no
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universities. To really get into science and
00:04:58.199 --> 00:05:01.420
progress requires travel. I ask this because
00:05:01.420 --> 00:05:04.339
in my own journey, I knew that meant not coming
00:05:04.339 --> 00:05:07.860
back, much beyond the next summer, perhaps. So
00:05:07.860 --> 00:05:10.759
did you have a similar self -conversation about
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that? Yeah, definitely. For my undergraduate
00:05:13.870 --> 00:05:16.930
degree, I did actually choose to stay close to
00:05:16.930 --> 00:05:19.810
home by studying for two years at a local college
00:05:19.810 --> 00:05:22.110
and then transferring to the University of British
00:05:22.110 --> 00:05:25.089
Columbia in Vancouver. For context, that's about
00:05:25.089 --> 00:05:27.509
a 10 -hour drive from my hometown, so not too
00:05:27.509 --> 00:05:30.769
bad. But after that, to pursue the kind of research...
00:05:30.769 --> 00:05:32.310
Not too bad in a Canadian context, though, right?
00:05:32.389 --> 00:05:34.850
Like, 10 -hour drive from anywhere else is kind
00:05:34.850 --> 00:05:36.750
of like, what? I mean, I could travel halfway
00:05:36.750 --> 00:05:39.399
across Europe in 10 hours, right? Yeah, that's
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true. That's true. Actually, this is a Canadian
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context. But anyway, so yeah, so from our perspective,
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not too bad. So after that, though, to pursue
00:05:49.279 --> 00:05:52.040
the kind of research that I wanted, I moved to
00:05:52.040 --> 00:05:55.279
Ottawa, to the University of Ottawa to pursue
00:05:55.279 --> 00:05:59.040
my PhD in chemistry. And then after that, to
00:05:59.040 --> 00:06:01.759
follow my research interests further, I actually
00:06:01.759 --> 00:06:04.199
did a postdoctoral stint, which is just kind
00:06:04.199 --> 00:06:08.319
of like your postgraduate degree studies. at
00:06:08.319 --> 00:06:10.879
the California Institute of Technology or Caltech
00:06:10.879 --> 00:06:14.899
in Los Angeles, California. So this is actually
00:06:14.899 --> 00:06:17.819
quite typical of academic career paths. Typically,
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especially in Canada, it would be expected that
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you do research either for your PhD or postdoc
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or both in the United States or abroad before
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applying to jobs as a professor. So that was
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really just part of the expectation. So after
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that, when I was finished those studies, I applied
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broadly in the United States and Canada for assistant
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professor positions, and they're quite... few
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of these, especially if you're looking in a particular
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area. And that's how I ended up at the University
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of Minnesota in Minneapolis, where I'm currently
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doing research and leading a fantastic team of
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undergrads, grads, and postdocs. Yeah, it's funny.
00:06:57.019 --> 00:06:59.879
I also stayed behind at Selkirk College for one
00:06:59.879 --> 00:07:02.959
year to transfer. Although I tried to stay away
00:07:02.959 --> 00:07:05.620
from UBC because Vancouver seemed really scary
00:07:05.620 --> 00:07:08.100
to me coming from a small little town. I went
00:07:08.100 --> 00:07:11.139
to UVic instead. But that's pretty much pretty
00:07:11.139 --> 00:07:14.259
much mirrors at least the beginning part. But
00:07:14.259 --> 00:07:19.600
now on to the paper. Outer sphere tuning of synthetic
00:07:19.600 --> 00:07:23.860
iron sulfur clusters within nanoscale cage frameworks.
00:07:24.720 --> 00:07:26.660
I love this. Every episode I dig in to learn
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new things I never knew. So perhaps to start,
00:07:30.379 --> 00:07:34.519
let's introduce the subject. What are iron sulfur
00:07:34.519 --> 00:07:37.699
clusters and what do they mean to us humans or
00:07:37.699 --> 00:07:41.720
living things in general? I actually love talking
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about iron sulfur clusters because I think they're
00:07:44.399 --> 00:07:46.720
absolutely fascinating and I want to tell everyone
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I know about them. Basically, they're everywhere
00:07:49.220 --> 00:07:52.139
and most people don't even know about it. They're
00:07:52.139 --> 00:07:56.949
like kind of life's invisible engines. So they're
00:07:56.949 --> 00:08:00.889
found in living organisms from all living kingdoms.
00:08:00.930 --> 00:08:04.170
And there are many, many that operate inside
00:08:04.170 --> 00:08:06.790
of our bodies, in fact, which many people don't
00:08:06.790 --> 00:08:10.769
know. So there are actually more than 200 known
00:08:10.769 --> 00:08:14.329
distinct iron sulfur proteins in humans. And
00:08:14.329 --> 00:08:17.610
they play a wide range of essential roles from
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cellular respiration, so using oxygen and energy
00:08:22.689 --> 00:08:26.470
in our bodies to cellular signaling. sensing
00:08:26.470 --> 00:08:29.610
things like iron and oxygen, and metabolism,
00:08:29.850 --> 00:08:32.490
so like digesting our food. And what they are
00:08:32.490 --> 00:08:35.570
is these discrete atomic assemblies that are
00:08:35.570 --> 00:08:38.210
composed of iron, sulfur, and sometimes other
00:08:38.210 --> 00:08:40.870
elements like molybdenum, vanadium, or nickel.
00:08:41.169 --> 00:08:45.429
And we're talking between about 4 and 18 atoms
00:08:45.429 --> 00:08:49.149
in an assembly. So nature assembles these clusters
00:08:49.149 --> 00:08:51.929
and puts them inside proteins where they can
00:08:51.929 --> 00:08:54.669
do their work. So what we're really interested
00:08:54.669 --> 00:08:57.789
in is iron sulfur proteins found in bacteria.
00:08:58.409 --> 00:09:01.610
These are of interest to us because they promote
00:09:01.610 --> 00:09:04.190
transformations like the conversion of carbon
00:09:04.190 --> 00:09:07.669
dioxide from the air to carbon monoxide, which
00:09:07.669 --> 00:09:11.230
is an important chemical feedstock, or hydrocarbons
00:09:11.230 --> 00:09:14.539
that we can use as fuels. Or the conversion of
00:09:14.539 --> 00:09:18.200
water to hydrogen, an energy carrier. Or finally,
00:09:18.220 --> 00:09:20.340
the conversion of nitrogen from the atmosphere
00:09:20.340 --> 00:09:23.480
to ammonia, which is widely used as fertilizers
00:09:23.480 --> 00:09:27.440
or fuels. So a quick side path, a side quest.
00:09:27.580 --> 00:09:29.799
I don't know how I should say this. A fun fact
00:09:29.799 --> 00:09:33.399
about ammonia. Ammonia is currently made by our
00:09:33.399 --> 00:09:36.139
society using a temperature and pressure intensive
00:09:36.139 --> 00:09:38.759
process that we call the Haber -Bosch process,
00:09:38.840 --> 00:09:42.120
which supplies nitrogen we need to fertilize
00:09:42.120 --> 00:09:44.960
our crops. And to illustrate to you how important
00:09:44.960 --> 00:09:48.500
this is, we know that roughly 50 % of the nitrogen
00:09:48.500 --> 00:09:51.039
in our bodies comes from the Haber -Bosch process,
00:09:51.159 --> 00:09:55.019
not from natural processes, bacteria that fix
00:09:55.019 --> 00:09:57.700
nitrogen for us. It's kind of wild to think about,
00:09:57.779 --> 00:10:00.399
actually. We can do a lot of these transformations
00:10:00.399 --> 00:10:03.620
in our society already, but like I mentioned,
00:10:03.679 --> 00:10:06.120
they're generally temperature and pressure intensive.
00:10:07.120 --> 00:10:09.440
Or they might use feedstocks like hydrogen that
00:10:09.440 --> 00:10:12.279
are derived from fossil fuels. So what we really
00:10:12.279 --> 00:10:17.039
want to be able to do is use more renewable feedstocks
00:10:17.039 --> 00:10:19.860
like water and energy from renewable electricity
00:10:19.860 --> 00:10:22.820
sources like wind or solar to create our fuels.
00:10:23.000 --> 00:10:25.200
And then that way, ideally, we could make them
00:10:25.200 --> 00:10:28.240
cleanly without emitting any greenhouse gases
00:10:28.240 --> 00:10:31.240
like carbon dioxide. All right. I think it's
00:10:31.240 --> 00:10:35.179
time for a proper deviation now. okay there's
00:10:35.179 --> 00:10:36.580
two different things uh let's start with the
00:10:36.580 --> 00:10:38.139
basics and then i'll get to the question that
00:10:38.139 --> 00:10:42.000
i came to my head um so as my understanding of
00:10:42.000 --> 00:10:46.740
these things are is that we we use them to transfer
00:10:46.740 --> 00:10:49.679
energy so essentially transfer electrons right
00:10:49.679 --> 00:10:55.159
yeah i would say so yep so it's just about moving
00:10:55.159 --> 00:10:58.799
electrons around to make certain chemical reactions
00:10:58.799 --> 00:11:02.820
easier in both the body and other living organisms
00:11:03.549 --> 00:11:06.570
That's right. Okay. So in other words, what we
00:11:06.570 --> 00:11:09.929
really interested as far as using and utilizing
00:11:09.929 --> 00:11:14.350
these cages for synthetic purposes is to mimic
00:11:14.350 --> 00:11:18.129
what the body already does to create reactions
00:11:18.129 --> 00:11:22.200
that are easier to get at. Exactly. Right. Because
00:11:22.200 --> 00:11:24.320
to do it synthetically, it just costs, like I
00:11:24.320 --> 00:11:26.139
think in the introduction, I gave an example
00:11:26.139 --> 00:11:28.720
of fuel out of the air that NASA uses. And it's
00:11:28.720 --> 00:11:31.279
just, you get so little for how much energy you
00:11:31.279 --> 00:11:35.120
have to put in. And this would make it, all you
00:11:35.120 --> 00:11:37.200
need is sunlight, for instance. That's right.
00:11:37.320 --> 00:11:41.139
Yeah. So the protein you can think of as actually
00:11:41.139 --> 00:11:45.399
kind of tuning the cluster inside to help it
00:11:45.399 --> 00:11:49.220
perform the function that we want. Interesting.
00:11:49.320 --> 00:11:52.039
So when this is going to go back, because I don't
00:11:52.039 --> 00:11:54.539
know much about biology, I tried really hard
00:11:54.539 --> 00:11:57.179
to skip that as part of high school and so on
00:11:57.179 --> 00:11:58.960
and such forth. But there was always that thing
00:11:58.960 --> 00:12:02.320
is like poisons in its dose, right? So even arsenic
00:12:02.320 --> 00:12:04.519
is used by the body and certain other heavy metals.
00:12:04.580 --> 00:12:07.100
Is that part of the process? Is that sometimes
00:12:07.100 --> 00:12:09.919
those are used in these cages to do a certain
00:12:09.919 --> 00:12:14.299
specific thing within the body? Yeah, that's
00:12:14.299 --> 00:12:17.539
super interesting. So arsenic is used in the
00:12:17.539 --> 00:12:21.159
body for sure and other elements. And yeah, normally
00:12:21.159 --> 00:12:24.179
they would need a protein to function inside
00:12:24.179 --> 00:12:27.580
of the body. But so they could, I mean, obviously
00:12:27.580 --> 00:12:31.159
different heavy metals or metals in general that
00:12:31.159 --> 00:12:33.279
we may not normally think of being used by the
00:12:33.279 --> 00:12:37.379
body may be used in these sorts of cages to move
00:12:37.379 --> 00:12:40.539
energy around within the system. Obviously, we
00:12:40.539 --> 00:12:42.440
don't need very much of them. obviously we get
00:12:42.440 --> 00:12:44.940
too much of them we get sick but this is one
00:12:44.940 --> 00:12:47.720
avenue that they may get used that's absolutely
00:12:47.720 --> 00:12:51.059
right cool like how much energy are we talking
00:12:51.059 --> 00:12:53.879
about here it it must run the gambit because
00:12:53.879 --> 00:12:56.480
there's different chemical reactions that we're
00:12:56.480 --> 00:13:00.320
talking about using different uh elements so
00:13:00.320 --> 00:13:03.440
are we talking many volts or like give us some
00:13:03.440 --> 00:13:07.299
kind of a scale that like from where to where
00:13:07.299 --> 00:13:10.919
does these different cages work from Yeah, yeah,
00:13:11.539 --> 00:13:15.460
yeah. So it can vary a lot depending on the chemical
00:13:15.460 --> 00:13:19.779
process that you want or that the cluster is
00:13:19.779 --> 00:13:23.460
performing. And so one way to think about it
00:13:23.460 --> 00:13:27.419
is just in terms of the kinds of processes that
00:13:27.419 --> 00:13:30.940
these clusters perform. Like I mentioned, cellular
00:13:30.940 --> 00:13:34.519
respiration, that's the process where we take
00:13:34.519 --> 00:13:38.139
in the energy from our food and use oxygen and
00:13:38.139 --> 00:13:41.049
burn these as fuel. And these iron -sulfur clusters
00:13:41.049 --> 00:13:43.730
are very intimately involved in these reactions.
00:13:43.870 --> 00:13:46.490
So you can kind of think of them as powering
00:13:46.490 --> 00:13:50.009
the energy that we use in our body. Okay. So
00:13:50.009 --> 00:13:52.509
as we've already described, the goal is to create
00:13:52.509 --> 00:13:54.629
a synthetic version of what mimics biological
00:13:54.629 --> 00:13:59.009
use. So in the science portion of this, are you
00:13:59.009 --> 00:14:01.830
creating synthetic proteins? Are you using something
00:14:01.830 --> 00:14:05.789
that's protein -like? How are we trying to harness
00:14:05.789 --> 00:14:09.480
this in the lab? Yeah, that's such a great question
00:14:09.480 --> 00:14:12.259
because actually people study synthetic proteins
00:14:12.259 --> 00:14:16.399
a lot. So you can... either design a completely
00:14:16.399 --> 00:14:19.879
new protein or you can use a protein that has
00:14:19.879 --> 00:14:23.879
already been developed by biology. And so you
00:14:23.879 --> 00:14:27.039
can express these in host organisms. This would
00:14:27.039 --> 00:14:30.519
just be like, for example, a bacterium that would
00:14:30.519 --> 00:14:33.059
be able to produce the protein that you want
00:14:33.059 --> 00:14:35.600
and you can purify it and you can use it in a
00:14:35.600 --> 00:14:38.879
lot of different applications like treating diseases,
00:14:39.100 --> 00:14:42.259
developing vaccines. or in commercial products
00:14:42.259 --> 00:14:45.919
like laundry detergents. And so, you know, we
00:14:45.919 --> 00:14:48.559
could actually, and we do use these proteins
00:14:48.559 --> 00:14:52.879
for promoting chemical reactions like the ones
00:14:52.879 --> 00:14:56.909
that we are studying. But with iron sulfur proteins,
00:14:57.169 --> 00:14:59.789
it becomes a lot more challenging. This is because
00:14:59.789 --> 00:15:02.649
oftentimes they're a lot more structurally complex
00:15:02.649 --> 00:15:06.149
and they're often more sensitive than your typical
00:15:06.149 --> 00:15:09.789
protein. So actually being able to express them
00:15:09.789 --> 00:15:12.289
in host organisms can be really challenging.
00:15:12.870 --> 00:15:18.299
So basically... you know proteins are used generally
00:15:18.299 --> 00:15:22.000
um and and we can use them for a variety of applications
00:15:22.000 --> 00:15:25.419
but doing this with iron sulfur proteins can
00:15:25.419 --> 00:15:28.299
be challenging all right well then let's dig
00:15:28.299 --> 00:15:31.200
into those challenges a little bit because as
00:15:31.200 --> 00:15:33.519
any case in science the previous work you're
00:15:33.519 --> 00:15:35.899
standing on the shoulders of giants so what are
00:15:35.899 --> 00:15:39.059
the problems with the previous attempts at mimicking
00:15:39.059 --> 00:15:43.720
these sulfur or iron sulfur cages yeah so there's
00:15:43.720 --> 00:15:46.860
actually been a ton of work on this topic and
00:15:46.860 --> 00:15:50.240
in science generally we start small right and
00:15:50.240 --> 00:15:53.419
so the first step to this research was really
00:15:53.419 --> 00:15:56.320
synthesizing the iron sulfur clusters themselves
00:15:56.320 --> 00:15:59.759
because normally biology makes them through complicated
00:15:59.759 --> 00:16:02.299
cellular processes but we really want to actually
00:16:02.299 --> 00:16:04.480
make them in the lab if we're going to apply
00:16:04.480 --> 00:16:08.360
them so we know how to do this very well actually
00:16:09.100 --> 00:16:13.000
The first cluster was synthesized in 1858. It
00:16:13.000 --> 00:16:16.039
was called Rousset's black anion. And this was
00:16:16.039 --> 00:16:19.039
an iron three sulfur four cluster. And it did
00:16:19.039 --> 00:16:22.039
not have any practical applications. It was simply
00:16:22.039 --> 00:16:24.879
used in research. So we've had a ton of years
00:16:24.879 --> 00:16:28.379
to refine our synthetic methods to produce these
00:16:28.379 --> 00:16:31.259
clusters. But unfortunately, like we mentioned
00:16:31.259 --> 00:16:34.440
before, what these clusters really lack is the
00:16:34.440 --> 00:16:36.679
surrounding protein scaffold, which is essential
00:16:36.679 --> 00:16:40.950
for its function. And so scientists have been
00:16:40.950 --> 00:16:44.409
working on appending many elaborate groups. So
00:16:44.409 --> 00:16:46.789
these would be groups that are made with carbon,
00:16:46.889 --> 00:16:49.830
hydrogen and nitrogen that would bind to these
00:16:49.830 --> 00:16:52.330
clusters and perform some of the functions of
00:16:52.330 --> 00:16:54.610
the protein scaffolds. Like it would stabilize
00:16:54.610 --> 00:16:57.409
the clusters, making sure that they don't decompose
00:16:57.409 --> 00:17:01.690
and also to some extent tune their reactivity
00:17:01.690 --> 00:17:06.029
as well and their properties. So the proteins
00:17:06.029 --> 00:17:10.500
themselves. help make that sulfur iron cluster
00:17:10.500 --> 00:17:15.339
stable so it doesn't fall apart as well as dictate
00:17:15.339 --> 00:17:19.299
how much energy or what shape that energy has
00:17:19.299 --> 00:17:21.940
to be to transfer it so the protein the different
00:17:21.940 --> 00:17:25.579
proteins are doing all of that work yes exactly
00:17:25.579 --> 00:17:29.640
yeah the reason why we can't use them is because
00:17:29.640 --> 00:17:33.039
the proteins themselves degrade out where we
00:17:33.039 --> 00:17:35.480
don't have a human body or a body themselves
00:17:35.480 --> 00:17:39.460
to house them Yeah, that's right to some extent.
00:17:39.640 --> 00:17:43.000
So some of these proteins are very sensitive.
00:17:43.079 --> 00:17:46.500
If we try to express them and isolate them, they
00:17:46.500 --> 00:17:50.000
may degrade. And some of them are just very hard
00:17:50.000 --> 00:17:54.160
to actually express and purify so that we can
00:17:54.160 --> 00:17:57.779
get access to these proteins in the first place.
00:17:58.980 --> 00:18:01.640
Right. And if you can't make them at a scale,
00:18:01.839 --> 00:18:04.240
then you can't use them at scale either, I would
00:18:04.240 --> 00:18:09.269
imagine. Exactly. Okay, so now moving on to closer
00:18:09.269 --> 00:18:11.750
to the paper, there must have been a pivot, as
00:18:11.750 --> 00:18:14.430
you were about to explain, to go away from proteins
00:18:14.430 --> 00:18:17.609
to something that's a bit more synthetic. That's
00:18:17.609 --> 00:18:22.559
right. Yeah, so... What we envisioned was perhaps
00:18:22.559 --> 00:18:27.640
we can make a simplified molecular protein, essentially.
00:18:28.019 --> 00:18:31.240
So what if we could make a molecule that would
00:18:31.240 --> 00:18:34.759
surround the cluster and that we could modify
00:18:34.759 --> 00:18:38.539
synthetically so that you could tune the cluster's
00:18:38.539 --> 00:18:44.000
property and ultimately reactivity? We hypothesize
00:18:44.000 --> 00:18:46.599
that we might be able to use what's called a
00:18:46.599 --> 00:18:49.640
molecular cage. So this is a pretty incredible
00:18:49.640 --> 00:18:52.220
molecule that I love to explain to people because
00:18:52.220 --> 00:18:55.539
it's absolutely fascinating and just mind blowing
00:18:55.539 --> 00:18:59.000
that we can even make these. So what these are,
00:18:59.000 --> 00:19:03.440
are they're built from organic, so carbon, hydrogen
00:19:03.440 --> 00:19:06.660
and nitrogen based groups, and sometimes metal
00:19:06.660 --> 00:19:09.880
ions as well. And when you mix the components
00:19:09.880 --> 00:19:14.779
together, appropriately in a solution, then it
00:19:14.779 --> 00:19:18.400
will form a porous cage -like structure that
00:19:18.400 --> 00:19:23.269
you can put molecules inside. think about how
00:19:23.269 --> 00:19:26.369
this works but you can imagine for example putting
00:19:26.369 --> 00:19:30.029
magnets inside a bag and shaking it up really
00:19:30.029 --> 00:19:32.549
vigorously and what you'll expect to happen is
00:19:32.549 --> 00:19:35.910
that all of the magnets stick together so that
00:19:35.910 --> 00:19:39.750
the magnetic poles align right so it's kind of
00:19:39.750 --> 00:19:42.809
a similar situation with these cages when you
00:19:42.809 --> 00:19:45.609
mix up the components they kind of stick together
00:19:45.609 --> 00:19:48.890
to form an organized structure like a cube or
00:19:48.890 --> 00:19:52.170
a tetrahedron and we call these structures hosts
00:19:52.170 --> 00:19:56.710
because they can encapsulate guests like iron
00:19:56.710 --> 00:20:00.529
sulfur clusters and so It had never actually
00:20:00.529 --> 00:20:03.529
been demonstrated that you can trap an iron -sulfur
00:20:03.529 --> 00:20:06.549
cluster inside a cage before, but we thought
00:20:06.549 --> 00:20:08.970
that this was potentially the perfect solution
00:20:08.970 --> 00:20:13.670
where we could synthesize a cage that would surround
00:20:13.670 --> 00:20:17.789
the cluster guest with a strong affinity so it
00:20:17.789 --> 00:20:21.089
wouldn't fall out, and we could vary the structure
00:20:21.089 --> 00:20:23.509
of the cage so that we change the properties
00:20:23.509 --> 00:20:26.430
and reactivity. And that's what this paper sets
00:20:26.430 --> 00:20:32.289
out to do. So how did you make that first decision?
00:20:33.170 --> 00:20:38.230
Like, is it based on a theory, like previous
00:20:38.230 --> 00:20:41.009
theory about how the reactions of different things
00:20:41.009 --> 00:20:44.130
come together? Like, how did you cobble this
00:20:44.130 --> 00:20:49.210
together? Yeah, that's a great question. So I
00:20:49.210 --> 00:20:53.789
will say that the initial idea of this came from
00:20:53.789 --> 00:20:57.940
when I was sitting inside. lecture from a researcher
00:20:57.940 --> 00:21:01.000
at the University of Cambridge. His name's Professor
00:21:01.000 --> 00:21:05.059
Jonathan Nitschke, and he's a pioneer in the
00:21:05.059 --> 00:21:07.539
field of cage chemistry. So this is something
00:21:07.539 --> 00:21:11.640
that is well established and has been used to
00:21:11.640 --> 00:21:14.440
encapsulate a variety of guests and tune them,
00:21:14.539 --> 00:21:17.880
but just never these iron -sulfur clusters. So
00:21:17.880 --> 00:21:20.519
I was sitting in this lecture, and it was, I
00:21:20.519 --> 00:21:22.480
remember, one of the first lectures that I sat
00:21:22.480 --> 00:21:24.539
in as an assistant professor, and I was thinking,
00:21:25.369 --> 00:21:27.549
what if this could actually solve the problem
00:21:27.549 --> 00:21:30.789
with iron sulfur clusters what if we could engineer
00:21:30.789 --> 00:21:35.289
these cages to put the clusters inside and tune
00:21:35.289 --> 00:21:37.670
them the way that we want to really be able to
00:21:37.670 --> 00:21:42.369
extract out the reactivity that nature uses so
00:21:42.369 --> 00:21:47.069
effectively right that's amazing so does that
00:21:47.069 --> 00:21:50.799
mean like there's also We're talking about molecules
00:21:50.799 --> 00:21:53.579
that are in three dimensions as well. So there
00:21:53.579 --> 00:21:56.880
must be a shape component to the cage, like a
00:21:56.880 --> 00:22:00.839
geometry component. And is it the tuning part
00:22:00.839 --> 00:22:04.980
tuning the geometry? Or is it tuning the individual
00:22:04.980 --> 00:22:08.759
bonds and different elements that are going with
00:22:08.759 --> 00:22:12.720
it? Yeah, that's such a great question. So part
00:22:12.720 --> 00:22:16.400
of it definitely is about considering what shape
00:22:16.400 --> 00:22:19.670
would be the best. And the way that I like to
00:22:19.670 --> 00:22:22.589
think about shape is that you need to have a
00:22:22.589 --> 00:22:25.109
cage that you can make that's the right size
00:22:25.109 --> 00:22:28.309
for the guest. And we have a limited repertoire
00:22:28.309 --> 00:22:31.799
of cages. There's actually quite a few. But it
00:22:31.799 --> 00:22:34.039
can be challenging to find the cage with the
00:22:34.039 --> 00:22:36.960
kinds of properties that you want and the same
00:22:36.960 --> 00:22:40.299
size. So we chose a cage that has a tetrahedral
00:22:40.299 --> 00:22:43.160
shape. And mainly it was because it was a perfect
00:22:43.160 --> 00:22:47.259
size to encapsulate this cluster. In order to
00:22:47.259 --> 00:22:50.779
tune... the cluster afterwards in terms of its
00:22:50.779 --> 00:22:54.220
properties and reactivity we like to think about
00:22:54.220 --> 00:22:58.059
changing the structure in other words the chemical
00:22:58.059 --> 00:23:02.339
bonds and the specific elements and groups attached
00:23:02.339 --> 00:23:05.660
to these cages in order to interact with the
00:23:05.660 --> 00:23:08.940
clusters non -covalently which means without
00:23:08.940 --> 00:23:11.339
any chemical bonding so you can think of it as
00:23:11.339 --> 00:23:15.190
just kind of like an environment for the cluster
00:23:15.190 --> 00:23:17.849
in order to do the kinds of things that we want.
00:23:18.609 --> 00:23:21.369
Okay, let's poke at the paper a little bit more,
00:23:21.450 --> 00:23:24.970
a bit more of a structure -oriented question
00:23:24.970 --> 00:23:28.869
or discussion, because it's about how the science
00:23:28.869 --> 00:23:31.670
gets done. And now normally in geology, you do
00:23:31.670 --> 00:23:35.369
something like an introduction, methods, and
00:23:35.369 --> 00:23:39.170
then your results, and then a conclusion or discussion,
00:23:39.329 --> 00:23:41.250
then conclusion. This seems to be structured
00:23:41.250 --> 00:23:45.539
a little bit. differently that there is it's
00:23:45.539 --> 00:23:47.640
divided into two general sections the first is
00:23:47.640 --> 00:23:50.519
why like here's what we've already set up what
00:23:50.519 --> 00:23:53.000
we're trying what you were trying to do the individual
00:23:53.000 --> 00:23:56.579
cages laying out the problem the motivation etc
00:23:56.579 --> 00:23:59.799
and then the rest of it's almost like testing
00:23:59.799 --> 00:24:02.980
and describing the cage is that a reasonable
00:24:02.980 --> 00:24:06.440
high level structural summary yeah i would say
00:24:06.440 --> 00:24:10.019
that's a great summary so that's a different
00:24:10.569 --> 00:24:14.970
I mean, is that common in this field to structure
00:24:14.970 --> 00:24:18.710
articles and papers that way? Yeah, I would say
00:24:18.710 --> 00:24:21.529
so. The first section I normally think about
00:24:21.529 --> 00:24:25.859
as why should we care about this research? And
00:24:25.859 --> 00:24:28.720
you may be talking to various audiences. You
00:24:28.720 --> 00:24:31.039
may be talking to specialists who are in your
00:24:31.039 --> 00:24:33.980
field, or in this case, you might be speaking
00:24:33.980 --> 00:24:37.299
much more broadly to a more general audience.
00:24:38.420 --> 00:24:43.819
And so what we want to try to do is make sure
00:24:43.819 --> 00:24:47.720
that the audience understands the background
00:24:47.720 --> 00:24:51.180
to be able to understand why this research is
00:24:51.180 --> 00:24:54.039
important, and finally, what our research objectives
00:24:54.039 --> 00:24:59.359
are. So for someone who's not, let's say, a chemist,
00:24:59.380 --> 00:25:02.339
a biologist, or stubborn enough to go through
00:25:02.339 --> 00:25:05.940
with a thesaurus and research like I do, you
00:25:05.940 --> 00:25:07.700
would suggest somebody who's really interested
00:25:07.700 --> 00:25:11.400
to read the introduction and maybe the conclusion?
00:25:12.380 --> 00:25:17.720
Yes. And actually, I think AI is actually a great
00:25:17.720 --> 00:25:20.900
translator in a lot of cases. So I've plugged
00:25:20.900 --> 00:25:25.759
in parts of paper into AI and it's... pulled
00:25:25.759 --> 00:25:30.039
up a very good high level understanding for a
00:25:30.039 --> 00:25:32.200
more general audience. So I think you could use
00:25:32.200 --> 00:25:35.440
a tool like that as well. Yeah. I wonder if I've
00:25:35.440 --> 00:25:40.339
trained my own LLMs that I use to give me something
00:25:40.339 --> 00:25:42.200
that's a little too in depth sometimes. And I'm
00:25:42.200 --> 00:25:44.339
kind of going like, okay, you have to ask it
00:25:44.339 --> 00:25:46.339
like five times where I can understand something.
00:25:46.460 --> 00:25:51.380
So maybe it's me or maybe it's how I've trained
00:25:51.380 --> 00:25:54.059
it to be. I'm not really sure sometimes, but
00:25:54.059 --> 00:25:56.839
yeah, absolutely. uh putting things in and then
00:25:56.839 --> 00:25:59.579
you can kind of dissect them instead of literally
00:25:59.579 --> 00:26:01.559
like you used to have to do with a thesaurus
00:26:01.559 --> 00:26:04.140
and be like what does this word mean and even
00:26:04.140 --> 00:26:05.660
then it wouldn't really tell you because sometimes
00:26:05.660 --> 00:26:10.240
they're so specific to the discipline That's
00:26:10.240 --> 00:26:13.079
right. Yeah. And something that I've been thinking
00:26:13.079 --> 00:26:15.380
about a lot more and that I think scientists
00:26:15.380 --> 00:26:18.480
are increasingly thinking about is how do we
00:26:18.480 --> 00:26:20.720
actually translate our science to the general
00:26:20.720 --> 00:26:24.099
public to show just how important this research
00:26:24.099 --> 00:26:27.619
is? And so there are a lot of opportunities in
00:26:27.619 --> 00:26:32.299
many, especially metropolitan areas, to go and
00:26:32.299 --> 00:26:35.680
attend a talk over beer at a brewery or something
00:26:35.680 --> 00:26:39.180
like that. And generally, the scientists there
00:26:39.180 --> 00:26:44.160
would try to motivate and explain their research
00:26:44.160 --> 00:26:46.859
to a more general audience and take questions
00:26:46.859 --> 00:26:48.759
if there are things that aren't clear. And so
00:26:48.759 --> 00:26:51.440
that can also be a great way to engage with the
00:26:51.440 --> 00:26:55.759
science. Yeah, I think there's Nerd Nights in
00:26:55.759 --> 00:26:58.380
Vancouver. We also have Telescience World has
00:26:58.380 --> 00:27:01.920
an After Dark, which is only adults. There's
00:27:01.920 --> 00:27:04.289
a number of different things that come up. By
00:27:04.289 --> 00:27:07.269
all means, look them up in your area and keep
00:27:07.269 --> 00:27:10.450
listening to the podcast too. How close do these
00:27:10.450 --> 00:27:13.190
cages that you've been testing as part of this
00:27:13.190 --> 00:27:15.950
work get to, like, how close do they get to what
00:27:15.950 --> 00:27:19.710
nature can do? And how do you test that? Yeah,
00:27:19.750 --> 00:27:22.750
this is a great question, actually. And it's
00:27:22.750 --> 00:27:24.890
quite technical, but I'll try to break it down.
00:27:25.230 --> 00:27:28.450
I find that... The results were actually pretty
00:27:28.450 --> 00:27:32.150
impressive. And my team, so my team in this case
00:27:32.150 --> 00:27:35.170
was led by myself and my student, Rupal Balian,
00:27:35.269 --> 00:27:38.009
in collaboration with various other researchers.
00:27:38.470 --> 00:27:42.029
My team tested this using various experiments.
00:27:42.150 --> 00:27:46.269
So the first thing that we did was test the electron
00:27:46.269 --> 00:27:50.430
affinity of the clusters inside the cages. And
00:27:50.430 --> 00:27:52.849
for those who may not be familiar with electron
00:27:52.849 --> 00:27:56.190
affinity, what this means is basically It's a
00:27:56.190 --> 00:28:00.009
measure of how easily you can add or remove an
00:28:00.009 --> 00:28:04.210
electron from your molecule or your system. And
00:28:04.210 --> 00:28:07.109
in this case, this is absolutely central to the
00:28:07.109 --> 00:28:09.789
function of iron -solver clusters. So you can
00:28:09.789 --> 00:28:12.750
think of this as how spring -loaded the cluster
00:28:12.750 --> 00:28:15.890
is to perform its function. For some applications,
00:28:16.089 --> 00:28:19.630
like, for example, hydrocarbon synthesis, you
00:28:19.630 --> 00:28:22.410
might want it to be more spring -loaded to make
00:28:22.410 --> 00:28:24.430
sure that it carries out its job effectively.
00:28:25.480 --> 00:28:28.279
and what we found was that we could tune the
00:28:28.279 --> 00:28:31.500
electron affinity by about a volt and so that
00:28:31.500 --> 00:28:33.500
might be a little hard to visualize what that
00:28:33.500 --> 00:28:36.519
means but this is similar to the tuning that's
00:28:36.519 --> 00:28:39.400
already performed on iron sulfur clusters by
00:28:39.400 --> 00:28:41.980
native proteins so it was really quite an important
00:28:41.980 --> 00:28:46.759
result we also evaluated the nature of the iron
00:28:46.759 --> 00:28:50.980
sulfur bond inside the cage and this we do by
00:28:50.980 --> 00:28:54.299
a spectroscopic technique that involves shooting
00:28:54.829 --> 00:28:57.609
x -rays at our sample and understanding how those
00:28:57.609 --> 00:29:02.670
x -rays are being absorbed. And this iron sulfur
00:29:02.670 --> 00:29:06.650
bonding is very important because they dictate
00:29:06.650 --> 00:29:09.930
how the cluster interacts with its environment.
00:29:10.509 --> 00:29:14.210
So in a nutshell, chemical bonds can be more
00:29:14.210 --> 00:29:17.549
ionic, meaning they're basically like point charges
00:29:17.549 --> 00:29:20.700
that are attracted to one another. Or they can
00:29:20.700 --> 00:29:22.680
be more covalent, meaning that they actually
00:29:22.680 --> 00:29:26.740
share electrons in a chemical bond. In reality,
00:29:27.019 --> 00:29:29.420
it's not one or the other. It's really a sliding
00:29:29.420 --> 00:29:33.180
scale between fully ionic on one side and fully
00:29:33.180 --> 00:29:36.779
covalent on another side. So we found that this
00:29:36.779 --> 00:29:40.619
encapsulation could actually vary the iron -sulfur
00:29:40.619 --> 00:29:43.920
bond covalency to a similar extent to what is
00:29:43.920 --> 00:29:47.579
found in proteins in nature. So that was very
00:29:47.579 --> 00:29:54.359
exciting. That's amazing. So it can actually,
00:29:54.420 --> 00:29:58.079
it gets really close to mimicking the flow through
00:29:58.079 --> 00:30:02.299
of charge to what we see in the animal kingdom
00:30:02.299 --> 00:30:05.220
or in the bacterial kingdom, so to speak. That's
00:30:05.220 --> 00:30:09.099
right. So what's the next step to being able
00:30:09.099 --> 00:30:11.740
to utilize these cages? So you've tested them.
00:30:11.799 --> 00:30:15.759
We have their properties. So now how do we actually
00:30:15.759 --> 00:30:19.740
use them, put them to work, so to speak? Yeah,
00:30:19.759 --> 00:30:22.400
this is another great question that my lab is
00:30:22.400 --> 00:30:27.079
thinking about a lot. So our initial cage system
00:30:27.079 --> 00:30:30.980
had some limitations, and particularly we found
00:30:30.980 --> 00:30:33.539
that they're quite fragile under the conditions
00:30:33.539 --> 00:30:37.230
that you would want. to promote the kinds of
00:30:37.230 --> 00:30:40.750
chemical reactions that we want. You can think
00:30:40.750 --> 00:30:43.170
of it as a simple system that provided proof
00:30:43.170 --> 00:30:46.109
of concept for us. In other words, we can encapsulate
00:30:46.109 --> 00:30:48.789
the clusters and we can tune them similar to
00:30:48.789 --> 00:30:51.769
in proteins, but we need to develop them further
00:30:51.769 --> 00:30:53.869
for the kinds of applications we're actually
00:30:53.869 --> 00:30:57.410
targeting. So our preliminary results actually
00:30:57.410 --> 00:31:00.329
allowed us to get a grant from the Arnold and
00:31:00.329 --> 00:31:02.970
Mabel Beckman Foundation. Shout out to them.
00:31:03.769 --> 00:31:07.309
for $600 ,000 to continue exploring this work.
00:31:07.509 --> 00:31:10.710
So we're very excited to develop some cages that
00:31:10.710 --> 00:31:13.589
would be more robust and that would allow us
00:31:13.589 --> 00:31:16.150
to explore the type of reactivity that we want
00:31:16.150 --> 00:31:21.549
to promote. Crazy. So the next step is to try
00:31:21.549 --> 00:31:24.089
to make them more robust, is what you're saying?
00:31:24.109 --> 00:31:27.430
That's right. Yeah. And then just to go a little
00:31:27.430 --> 00:31:28.990
bit further, let's say you managed to get them
00:31:28.990 --> 00:31:31.849
more robust, then it's about how do you create
00:31:31.849 --> 00:31:36.130
them a bit more at scale? Like how do you see
00:31:36.130 --> 00:31:39.309
this like playing out, like going from where
00:31:39.309 --> 00:31:42.009
we're at with the bench science to, you know?
00:31:42.950 --> 00:31:47.990
Yeah. So I think one of the next steps, once
00:31:47.990 --> 00:31:51.390
we've made our more robust system. would be to
00:31:51.390 --> 00:31:55.289
understand how exactly we can tune and optimize
00:31:55.289 --> 00:31:59.130
the chemistry that we want so we want it to be
00:31:59.130 --> 00:32:03.529
very fast so that we are producing energy at
00:32:03.529 --> 00:32:07.289
a high rate and we are we also want it to be
00:32:08.120 --> 00:32:10.920
relatively energy efficient too so we don't want
00:32:10.920 --> 00:32:14.019
to lose a lot of energy in the process and so
00:32:14.019 --> 00:32:16.920
this next phase of research would allow us to
00:32:16.920 --> 00:32:20.180
do that to understand basically the tools that
00:32:20.180 --> 00:32:23.559
we have or the tools that we need in order to
00:32:23.559 --> 00:32:28.099
control the reactivity and then yes after that
00:32:28.099 --> 00:32:32.039
we would be trying to apply this in maybe a small
00:32:32.039 --> 00:32:35.539
scale industrial device. And then ultimately,
00:32:35.680 --> 00:32:39.819
if that shows promise, then we would scale up
00:32:39.819 --> 00:32:42.640
the synthesis of these clusters and try to perform
00:32:42.640 --> 00:32:46.240
this on a larger scale. You said something just
00:32:46.240 --> 00:32:49.950
there that I wasn't expecting. Did you mean that
00:32:49.950 --> 00:32:52.410
they themselves produce the energy or do they
00:32:52.410 --> 00:32:54.970
capture the energy that's coming in from somewhere
00:32:54.970 --> 00:32:57.849
else? So yeah, that's completely right. So they
00:32:57.849 --> 00:33:00.569
would take the energy from electricity, in other
00:33:00.569 --> 00:33:04.390
words, electrons, and they would store that energy
00:33:04.390 --> 00:33:07.809
in the form of chemical bonds. So this would
00:33:07.809 --> 00:33:11.109
be, for example, taking carbon dioxide from our
00:33:11.109 --> 00:33:14.609
atmosphere and converting that to hydrocarbons,
00:33:14.630 --> 00:33:18.440
which we could use in... vehicles as, for example,
00:33:18.480 --> 00:33:22.420
gasoline. Those chemical bonds in gasoline are
00:33:22.420 --> 00:33:26.359
very energy rich. And so on burning those fuels,
00:33:26.740 --> 00:33:31.119
we extract out energy. Now you brought up the
00:33:31.119 --> 00:33:35.079
practical use, getting CO2 out of the air without
00:33:35.079 --> 00:33:38.319
a crazy amount of extra energy. Perhaps part
00:33:38.319 --> 00:33:42.000
of looking at how this could be used is potential
00:33:42.000 --> 00:33:45.130
or what it could be replacing. I mean, bringing
00:33:45.130 --> 00:33:47.970
carbon out of the atmosphere takes a heck of
00:33:47.970 --> 00:33:51.049
a lot of energy. So this would be just essentially
00:33:51.049 --> 00:33:53.529
hooked up to solar panels and we can get almost
00:33:53.529 --> 00:33:56.990
the same amount of energy out from the electricity
00:33:56.990 --> 00:33:59.730
of the solar panel to carbon dioxide, right?
00:33:59.829 --> 00:34:04.869
Or into hydrocarbons. Yeah. So in an ideal process,
00:34:04.970 --> 00:34:09.289
you would not lose any energy. You hit on a really
00:34:09.289 --> 00:34:11.889
important point, which was that taking carbon
00:34:11.889 --> 00:34:15.070
dioxide directly out of the atmosphere is actually
00:34:15.070 --> 00:34:18.610
really, really hard. And what I will say is that
00:34:18.610 --> 00:34:20.769
there are companies working on this right now,
00:34:20.889 --> 00:34:25.550
and the technology is rapidly evolving and becoming
00:34:25.550 --> 00:34:28.309
more and more energy efficient as we learn more.
00:34:28.710 --> 00:34:31.889
At the moment, it's not a mature technology that
00:34:31.889 --> 00:34:33.690
we would be able to use it for something like
00:34:33.690 --> 00:34:37.179
this, but it is developing. What I think is more
00:34:37.179 --> 00:34:40.019
immediately practical is actually not taking
00:34:40.019 --> 00:34:43.900
it out of the air, but taking it from industry,
00:34:44.119 --> 00:34:48.110
from what's called flu stacks. And flue stacks
00:34:48.110 --> 00:34:51.110
are essentially these columns that emit carbon
00:34:51.110 --> 00:34:54.550
dioxide from industrial processes like burning
00:34:54.550 --> 00:34:58.590
coal. And what we can do is we can capture that
00:34:58.590 --> 00:35:01.230
carbon dioxide from these flue stacks because
00:35:01.230 --> 00:35:05.090
it's very, very concentrated much more effectively
00:35:05.090 --> 00:35:11.130
than we can from air. We already capture about
00:35:11.130 --> 00:35:14.269
50 million tons of carbon dioxide every year,
00:35:14.369 --> 00:35:17.150
and that's equivalent to about 11 .9 million
00:35:17.150 --> 00:35:20.969
gas -powered cars on the road for one year, or
00:35:20.969 --> 00:35:25.250
about 6 .5 million homes. So it's a huge scale.
00:35:25.590 --> 00:35:28.090
But what we're actually doing with it right now
00:35:28.090 --> 00:35:30.809
is just burying it deep underground for the most
00:35:30.809 --> 00:35:33.690
part. So what if we could actually use it to
00:35:33.690 --> 00:35:37.269
make something valuable? And so our vision and
00:35:37.269 --> 00:35:39.530
the vision of many other researchers working
00:35:39.530 --> 00:35:42.110
on the problem is that we could use this CO2
00:35:42.110 --> 00:35:45.829
that we capture to make valuable products, products
00:35:45.829 --> 00:35:49.110
like that could be used in clothing or plastics
00:35:49.110 --> 00:35:53.750
or manufacturing vehicles or textiles, or even
00:35:53.750 --> 00:35:56.550
as fuels that would power our vehicles so that
00:35:56.550 --> 00:35:59.349
it's not just being buried underground and wasted.
00:36:00.269 --> 00:36:02.670
yeah being able to take it out of the air is
00:36:02.670 --> 00:36:04.110
kind of the holy grail and there are definitely
00:36:04.110 --> 00:36:08.070
companies there's one here in vancouver british
00:36:08.070 --> 00:36:10.070
columbia that's doing this right out of the air
00:36:10.070 --> 00:36:12.929
it's not even a smokestack it's but it's energy
00:36:12.929 --> 00:36:15.469
intensive and they're trying to essentially buy
00:36:15.469 --> 00:36:17.670
cheap energy that's left over from solar and
00:36:17.670 --> 00:36:21.690
stuff and then get grants to just lock it into
00:36:21.690 --> 00:36:24.469
whatever it's Pretty interesting. I've actually
00:36:24.469 --> 00:36:26.510
been of the mind for a while that eventually
00:36:26.510 --> 00:36:28.809
we will have no choice and we will have to figure
00:36:28.809 --> 00:36:31.590
out how to do this. And then we will be able
00:36:31.590 --> 00:36:33.530
to control how much carbon is in the atmosphere.
00:36:33.789 --> 00:36:36.030
And that's a little frightening in its own right.
00:36:38.010 --> 00:36:40.230
Pretty amazing, though. It's pretty amazing.
00:36:40.309 --> 00:36:42.190
But still, could you imagine having all those
00:36:42.190 --> 00:36:45.050
countries kind of sign on to what carbon PPM
00:36:45.050 --> 00:36:47.289
there should be so that they don't take too much
00:36:47.289 --> 00:36:50.349
or put too much into the atmosphere? Yeah, that's
00:36:50.349 --> 00:36:53.030
a good point. It's going to be weird, but hopefully
00:36:53.030 --> 00:36:55.849
it comes sooner rather than later because I'm
00:36:55.849 --> 00:36:57.750
a little worried about what climate is going
00:36:57.750 --> 00:37:02.710
to bring us. Agreed. So how about a little bit
00:37:02.710 --> 00:37:06.590
more pie in the sky thinking? If we can get these...
00:37:07.340 --> 00:37:10.579
cages to be quite robust it should be allowing
00:37:10.579 --> 00:37:13.139
for capturing of energy in different ways like
00:37:13.139 --> 00:37:17.599
moving as part of our fabric or in a watch as
00:37:17.599 --> 00:37:20.619
part of that energy being able to perhaps better
00:37:20.619 --> 00:37:23.219
recharge batteries or make something more wearable
00:37:23.219 --> 00:37:27.159
is that kind of a potential here or am i like
00:37:27.159 --> 00:37:30.820
totally off into sci -fi land You are absolutely
00:37:30.820 --> 00:37:34.139
not in sci -fi land. I would say for the battery
00:37:34.139 --> 00:37:37.460
charging, absolutely. And in fact, this is a
00:37:37.460 --> 00:37:40.739
very active area of research going on right now
00:37:40.739 --> 00:37:44.539
is to develop batteries that are powered by iron
00:37:44.539 --> 00:37:48.440
sulfur clusters. So the reason why these clusters
00:37:48.440 --> 00:37:51.739
are so attractive for this application is that
00:37:51.739 --> 00:37:54.880
they have what we call a small reorganization
00:37:54.880 --> 00:37:57.500
energy, which basically means that when they
00:37:57.500 --> 00:38:00.849
accept electrons, the chemical bonds don't move
00:38:00.849 --> 00:38:03.610
a lot and so that means that these electrons
00:38:03.610 --> 00:38:06.389
can be added very quickly so that would give
00:38:06.389 --> 00:38:09.889
you fast charging and also without much energy
00:38:09.889 --> 00:38:13.909
loss and so that's great for batteries awesome
00:38:13.909 --> 00:38:18.369
so i can't wait to see where this all goes i
00:38:18.369 --> 00:38:20.969
love science i love being able to like poke at
00:38:20.969 --> 00:38:22.809
different things and see where we're heading
00:38:22.809 --> 00:38:25.570
it's also uplifting in a lot of different ways
00:38:25.570 --> 00:38:29.059
where some of the other news is not but now It
00:38:29.059 --> 00:38:32.440
is time for call -outs. This is your opportunity
00:38:32.440 --> 00:38:35.780
to call out future work, people that you work
00:38:35.780 --> 00:38:39.280
with, a new kitten you got at home, something
00:38:39.280 --> 00:38:42.940
whimsical, whatever you want. I love that so
00:38:42.940 --> 00:38:45.000
much. I don't have a kitten at home, but I wish
00:38:45.000 --> 00:38:51.800
I did. I would really like to call out our research
00:38:51.800 --> 00:38:55.059
team, my research team. I work with an incredible
00:38:55.059 --> 00:38:59.300
group of postdocs, graduate students, undergraduates,
00:38:59.380 --> 00:39:02.539
and they're really what helped me come to work
00:39:02.539 --> 00:39:05.199
every day. It's really amazing working for them
00:39:05.199 --> 00:39:09.679
or working with them. bring so many new ideas
00:39:09.679 --> 00:39:12.400
to the table and they're just so curious and
00:39:12.400 --> 00:39:15.719
eager to learn it's really really awesome i also
00:39:15.719 --> 00:39:18.420
want to call out the funding agencies that actually
00:39:18.420 --> 00:39:22.539
give us the money to do the work as some of you
00:39:22.539 --> 00:39:25.079
may be aware some of the audience may be aware
00:39:26.510 --> 00:39:29.230
There has been a lot of challenges for researchers
00:39:29.230 --> 00:39:32.789
recently to actually obtain the funding that
00:39:32.789 --> 00:39:36.409
we need. A lot of the national programs, you
00:39:36.409 --> 00:39:38.170
know, especially in the U .S. are being cut.
00:39:38.289 --> 00:39:41.329
And so nonetheless, there are funding bodies
00:39:41.329 --> 00:39:46.010
that are continuing on and giving us the funding
00:39:46.010 --> 00:39:48.610
that we need. And so I really want to shout out
00:39:48.610 --> 00:39:52.670
to them to continue to power science. Yeah, absolutely.
00:39:53.400 --> 00:39:58.760
The changing policy is a bit difficult to keep
00:39:58.760 --> 00:40:02.679
up on for sure, which we actually covered near
00:40:02.679 --> 00:40:04.900
the end of the last season a little bit. We had
00:40:04.900 --> 00:40:08.159
a discussion about that as well. But now we get
00:40:08.159 --> 00:40:10.699
to the most important part of every whimsical
00:40:10.699 --> 00:40:13.360
wavelengths with a guest. This is the moment,
00:40:13.519 --> 00:40:16.599
the infamous last question, where you tell us
00:40:16.599 --> 00:40:22.019
your favorite science joke. All right. I've got
00:40:22.019 --> 00:40:25.199
a chemistry joke for you. What kind of fish is
00:40:25.199 --> 00:40:29.920
made out of two sodium atoms? I don't know. Tuna.
00:40:32.519 --> 00:40:36.840
Perfect. Perfect. Well, thank you so much for
00:40:36.840 --> 00:40:39.880
being on Whimsical Wavelengths. Thank you so
00:40:39.880 --> 00:40:42.340
much, Jeff. It's been a real pleasure. All right.
00:40:43.000 --> 00:40:45.699
Another episode of Whimsical Wavelengths, and
00:40:45.699 --> 00:40:47.500
I'm so glad you've made it all the way this far.
00:40:47.869 --> 00:40:49.710
I need you guys to rate and review the show.
00:40:49.949 --> 00:40:53.869
You have no idea how important that is to getting
00:40:53.869 --> 00:40:57.289
a show that you love out to other people who
00:40:57.289 --> 00:41:00.190
also need to hear it. By all means, poke me on
00:41:00.190 --> 00:41:03.090
social media. Drop me a line. Give me a show
00:41:03.090 --> 00:41:05.550
idea. Give me someone that I should talk to.
00:41:05.630 --> 00:41:07.329
Maybe there's a researcher you know and you're
00:41:07.329 --> 00:41:09.110
like, I'd really like to hear a podcast with
00:41:09.110 --> 00:41:12.070
this person. I can give it a shot. It's always
00:41:12.070 --> 00:41:14.829
a growing experience here for me on the show.
00:41:15.190 --> 00:41:18.190
And I'd love to reach out to new people and talk
00:41:18.190 --> 00:41:22.090
about new topics. I'm just so glad that I get
00:41:22.090 --> 00:41:24.070
to do this and I get to share it with all you.
00:41:24.710 --> 00:41:48.519
All right. I'll see you again. As the galaxies
00:41:48.519 --> 00:42:14.230
fly by J.