Upconverting nanoparticles (UCNPs) are promising tools for background-free imaging and sensing. However, their usefulness for in vivo applications depends on their biocompatibility, which we define by their optical performance in biological environments and their toxicity in living organisms. For UCNPs with a ratiometric color response to mechanical stress, consistent emission intensity and color are desired for the particles under nonmechanical stimuli. Here, we test the biocompatibility and mechanosensitivity of α-NaYF4:Yb,Er@NaLuF4 nanoparticles. First, we ligand-strip these particles to render them dispersible in aqueous media. Then, we characterize their mechanosensitivity (∼30% in the red-to-green spectral ratio per GPa), which is nearly 3-fold greater than those coated in oleic acid. We next design a suite of ex vivo and in vivo tests to investigate their structural and optical properties under several biorelevant conditions: over time in various buffers types, as a function of pH, and in vivo along the digestive tract of Caenorhabditis elegans worms. Finally, to ensure that the particles do not perturb biological function in C. elegans, we assess the chronic toxicity of nanoparticle ingestion using a reproductive brood assay. In these ways, we determine that mechanosensitive UCNPs are biocompatible, i.e., optically robust and nontoxic, for use as in vivo sensors to study animal digestion.
Upconverting nanoparticles (UCNPs) are promising tools for background-free imaging and sensing. However, their usefulness for in vivo applications depends on their biocompatibility, which we define by their optical performance in biological environments and their toxicity in living organisms. For UCNPs with a ratiometric color response to mechanical stress, consistent emission intensity and color are desired for the particles under nonmechanical stimuli. Here, we test the biocompatibility and mechanosensitivity of α-NaYF4:Yb,Er@NaLuF4 nanoparticles. First, we ligand-strip these particles to render them dispersible in aqueous media. Then, we characterize their mechanosensitivity (∼30% in the red-to-green spectral ratio per GPa), which is nearly 3-fold greater than those coated in oleic acid. We next design a suite of ex vivo and in vivo tests to investigate their structural and optical properties under several biorelevant conditions: over time in various buffers types, as a function of pH, and in vivo along the digestive tract of Caenorhabditis elegans worms. Finally, to ensure that the particles do not perturb biological function in C. elegans, we assess the chronic toxicity of nanoparticle ingestion using a reproductive brood assay. In these ways, we determine that mechanosensitive UCNPs are biocompatible, i.e., optically robust and nontoxic, for use as in vivo sensors to study animal digestion.
As researchers
develop new nanotechnologies
for biomedical applications, there is a need to evaluate their biocompatibility
for effective integration. Inorganic nanoparticles, in particular,
offer desirable properties like luminescence, magnetism, high surface-to-volume
ratio, and responsiveness to external stimuli for imaging, diagnostics,
therapy, drug delivery, and sensing.[1−3] Inorganic nanoparticles
include metallic,[4−7] semiconducting,[8] carbon-based (e.g.,
nanodiamond, carbon nanotubes),[9] and rare-earth
or lanthanide-based[10,11] nanoparticles, each with distinct
material properties. However, the attributes that make them useful,
such as their small size and material composition, may have unexpected
consequences in living organisms, marked by negative changes to the
physiology and behavior of the biological specimen.[12,13] For example, heavy metal ion-leaching from the host matrix has been
especially concerning with uncoated quantum dots,[14,15] while the morphology of carbon nanotubes induces asbestosis-like
symptoms in mice.[16,17] Beyond toxicity, another side
of biocompatibility deals with the ways in which the biological environment
might alter the nanoparticles, for instance, through degradation and
aggregation.[12,13,18] It has been shown for a variety of nanoparticles that proteins adsorb
onto the surface,[19−21] forming a corona that inhibits the particles’
function (e.g., targeting[22]). Additionally,
the preparation of nanoparticles for experiments (e.g., storage[23]) can introduce factors that alter material properties.Here, we focus on lanthanide-based upconverting nanoparticles (UCNPs),
a class of luminescent nanoparticles that emit in the visible with
near-infrared illumination. In addition to enabling background-free
imaging, UCNPs exhibit photostability[24,25] and synthetic
tunability[26] that make them suitable as
optical probes for a variety of applications. Recent advances include
deep brain optogenetics,[27] super-resolution
imaging,[28,29] photodynamic therapy,[30] drug delivery,[31] and sensing
external stimuli.[32−35] Of rising interest is the application of upconversion in mechanobiology,
a field that studies how mechanical signals regulate biological processes
ranging from touch sensation[36] to stem
cell differentiation.[37] In the last year,
our group has developed bright, mechanosensitive UCNPs with measurable
color responses to mechanical stress,[38] promising a new way to visualize and quantify forces in
vivo. The color response is a ratiometric change in the red-to-green
emission ratio over micro-Newton forces, which are relevant magnitudes
exerted by muscle contractions.[34,39]To use mechanosensitive
UCNPs in biology, key questions about biocompatibility
must first be addressed: how do the nanoparticles affect their environment
(i.e., toxicity), and how does the environment affect the nanoparticles’
optical performance? Lanthanide-based nanoparticles tend to have low
toxicity, as illustrated by many in vitro cell studies[11,40−42] and several in vivo studies.[43−45] Nanoparticles should be water-soluble and dispersed in biological
buffers. However, decreased intensity and changes in emission color
have been reported for particles suspended in water compared to organic
solvents (e.g., ethanol, dimethylformamide, cyclohexane).[46,47] Further, groups have shown evidence of fluoride leaching from the
nanoparticle host (NaYF4), resulting in complete emission
quenching and the eventual disintegration of particles in water.[48,49] Such changes will convolute the optical signal (i.e., intensity
and/or color) intended for detecting mechanical forces. Typically,
additional surface modifications like ligand-exchange and additive
shell layers, such as silica coatings and polymeric shells, can mitigate
but do not completely eliminate these surface and solvent effects.[42,50−54] For mechanosensitive UCNPs, the addition of materials and ligands
with different mechanical properties[55] than
the ceramic NaLnF4 host may alter the pressures that are
recorded, so we investigate the simplest type of surface modification,
ligand-stripping. Of course, this decision has implications in other
areas: stability in buffers and pH values, robustness in vivo, and toxicity. Therefore, it is important to characterize these
sensors with a comprehensive suite of tests to ensure proper readout
in more complex, in vivo applications.In this
paper, we aim to address questions about the biocompatibility
of upconverting mechanosensors by understanding the effect of biological
media on the nanoparticles’ optical properties and the effect
of the nanoparticles on living organisms. First, we characterize the
mechano-optical response of ∼30 nm ligand-stripped, core–shell
UCNPs (α-NaYF4:Yb,Er@NaLuF4) using a diamond
anvil cell (DAC). We then monitor how upconversion emission changes
over time (up to 23 days) in commonly used buffers, including hydroxyethyl
piperazineethanesulfonic acid (HEPES)-buffered saline (HBS), phosphate-buffered
saline (PBS), M9, and S-Medium. To mimic a dynamic environment, we
cycle between pH 6 and pH 3 in S-Medium. For the purposes of characterizing
UCNPs for mechanosensing in a dynamic, muscular system like the digestive
tract, we focus on toxicity in the context of feeding UCNPs to the
model organism, Caenorhabditis elegans. Ultimately,
we find that these nanoparticles are highly mechanosensitive, pH-stable,
chronically nontoxic by ingestion, and suitable for in vivo imaging and mechanosensing applications.
Results and Discussion
Ligand-Stripped
UCNPs for Aqueous Environments
We synthesize
nanoparticles consisting of an upconverting cubic-phase NaYF4:Yb(18%),Er(2%) core with an inert 4–5 nm NaLuF4 shell. Lanthanide ions Yb3+ and Er3+ act as
the sensitizer and emitter pair; Yb3+ absorbs in the near-infrared
(980 nm), and Er3+ emits in the visible, with distinct
green (520 nm, 540 nm) and red (660 nm) bands. Recently, we showed
that the same core–shell particles are structurally robust
stress sensors with a ratiometric color response in the μN force
regime.[38] However,
the nanoparticles were characterized in nonpolar solvents (i.e., cyclohexane
and silicone oil). Cells, tissues, and organisms, in contrast, consist
mostly of water, a polar solvent. Therefore, translating UCNPs for
use in mechanobiology requires surface modifications to suspend them
in aqueous media. In doing so, new solvent–surface interactions
will alter upconversion processes and emission.[54]As a first step, we strip the hydrophobic, oleic
acid (OA) ligand off of UCNPs using a modified procedure from Bogdan
et al.[56]Figure a shows representative transmission electron
micrographs (TEMs) of sub-50 nm as synthesized (AS) and ligand-stripped
(LS) nanoparticles. OA provides a ∼2 nm barrier on the AS particles
surface, which provides more uniform particle dispersion and interparticle
distances seen in the TEM of AS nanoparticles compared to LS nanoparticles.
To further verify that organics, including OA ligand, were fully removed
from the nanoparticles surface, we perform Fourier-transform infrared
spectroscopy (FTIR). Absorption spectra for OA, AS nanoparticles,
and LS nanoparticles are presented in Figure b. Peaks near 2900 cm–1 signify the stretching modes of CH2 and CH3;[57] they are present in the spectra for
OA and AS nanoparticles but not in LS nanoparticles. Instead, the
FTIR signature of LS nanoparticles is dominated by a broad peak around
910 cm–1, associated with the glass slide that samples
are prepared on. The FTIR spectrum of the glass slide is presented
in the Supporting Information (SI).
Figure 1
Upconverting
nanoparticles before and after ligand-stripping. (a)
Core–shell (NaYF4:Yb,Er@NaLuF4) nanoparticles
are as synthesized (AS) with an oleic acid (OA) coating and ligand-stripped
(LS) for dispersion in aqueous media. Transmission electron micrographs
(TEMs) show the quasispherical morphology and monodispersity of AS
nanoparticles and LS nanoparticles. The scale bars are 50 nm. (b)
Fourier-transform infrared spectroscopy (FTIR) measurements of OA
(gold), AS nanoparticles (black), and LS nanoparticles (maroon) confirm
that the highlighted vibrational modes around 2900 cm–1, associated with organic molecules like OA, are no longer present
after the ligand-stripping procedure. Here, each spectrum is normalized
to its maximum peak. For LS NPs and OA, the dominant peak around 910
cm–1 comes primarily from the glass slide (see Figure S1). (c) Upconversion spectra of AS nanoparticles
in cyclohexane (black) and LS nanoparticles in an aqueous medium,
S-Medium (maroon). Each spectrum is normalized to its green emission
peak. The inset qualitatively shows the corresponding emission of
colloidally suspended nanoparticles in a cuvette under 980 nm laser
illumination. Enhanced contribution of the red emission band explains
the perceived color difference between AS and LS UCNPs.
Upconverting
nanoparticles before and after ligand-stripping. (a)
Core–shell (NaYF4:Yb,Er@NaLuF4) nanoparticles
are as synthesized (AS) with an oleic acid (OA) coating and ligand-stripped
(LS) for dispersion in aqueous media. Transmission electron micrographs
(TEMs) show the quasispherical morphology and monodispersity of AS
nanoparticles and LS nanoparticles. The scale bars are 50 nm. (b)
Fourier-transform infrared spectroscopy (FTIR) measurements of OA
(gold), AS nanoparticles (black), and LS nanoparticles (maroon) confirm
that the highlighted vibrational modes around 2900 cm–1, associated with organic molecules like OA, are no longer present
after the ligand-stripping procedure. Here, each spectrum is normalized
to its maximum peak. For LS NPs and OA, the dominant peak around 910
cm–1 comes primarily from the glass slide (see Figure S1). (c) Upconversion spectra of AS nanoparticles
in cyclohexane (black) and LS nanoparticles in an aqueous medium,
S-Medium (maroon). Each spectrum is normalized to its green emission
peak. The inset qualitatively shows the corresponding emission of
colloidally suspended nanoparticles in a cuvette under 980 nm laser
illumination. Enhanced contribution of the red emission band explains
the perceived color difference between AS and LS UCNPs.To monitor the effects of ligand-stripping on optical
properties,
we perform spectroscopy measurements by illuminating colloidally suspended
nanoparticles in a quartz cuvette with a continuous-wave (CW) 980
nm laser. Under similar illumination irradiance (100 W/cm2), distinct differences in emission color and brightness can be seen
between the AS and LS nanoparticles. In the picture inset of Figure c, for example, AS
nanoparticles in cyclohexane have brighter emission and appear yellow,
while LS nanoparticles in buffer solution appear red. The color difference
is quantified by the ratio of the Er3+ red and green emission
peaks, . Figure c plots
normalized upconversion spectra, showing the
relative enhancement of red emission for LS nanoparticles in S-Medium
compared to AS nanoparticles in cyclohexane. The corresponding red-to-green
ratio is 9 versus 2. In general, LS nanoparticles dispersed in aqueous
media have redder emission than AS nanoparticles in cyclohexane due
to solvent interactions at the surface.[46,47,51,56] More specifically,
OH stretching modes around 3500 cm–1 facilitate
nonradiative transitions in Er3+ that give rise to more
probable pathways of populating the radiative red state.[46,47,54] In the SI, we compare the energetics of upconversion with and without OH bonds,
based on models reported in the previous literature.[47,54,58,59] Additionally, we verify that the drastic color difference is not
an artifact of power loss caused by water absorption at 980 nm.
Mechano-optical Response of LS Nanoparticles
We characterize
the mechanosensing capabilities of LS core–shell nanoparticles.
In our laser-coupled DAC setup (see the Methods section), nanoparticles and a ruby calibrant are loaded in the DAC
sample chamber with a hydrostatic pressure medium. Methanol:ethanol
(4:1) is chosen as the pressure medium, because it is calibrated with
ruby photoluminescence[60] and provides a
more polar and biorelevant environment than the typical silicone oil.
Pressures up to ∼5 GPa are applied for three compression cycles
while upconversion spectra are collected. In Figure a, we compare upconversion spectra at loading
pressure (0.2 GPa), maximum exerted pressure (5.2 GPa), and full release
pressure (0.0 GPa). Each spectrum is normalized to its own green emission
peak, showing the relative change in red emission with respect to
green emission; compression enhances the contribution of red emission,
which can then be reversed upon pressure release. Crystal field distortions
induced by external stress underlie these changes in optical properties.[38,61] In Figure S4, we show that green intensity
is more sensitive to pressure than red intensity.
Figure 2
Mechanosensitivity of
LS nanoparticles. (a) Upconversion spectra
of LS nanoparticles loaded in a DAC with methanol:ethanol (4:1) pressure
medium at 0.2 GPa loading (solid black), 5.2 GPa maximum (solid maroon),
and final release pressure after three cycles (dashed black). Each
spectrum is normalized to its own green emission peak to visualize
the relative enhancement of red emission upon compression. (b) For
three pressure cycles, we record the percent change in the ratio from
the fitted ambient value (). An error-weighted
linear fit of all the
data points provides a slope or the mechanosensitivity value. LS nanoparticles
are over 3× more sensitive than AS nanoparticles with oleic acid.
Data for AS UCNPs were previously reported.[38] The error on mechanosensitivity is the 95% confidence interval of
the fit. Error bars on markers indicate the standard deviation from
three spectra collected at each pressure point and may lie within
the marker.
Mechanosensitivity of
LS nanoparticles. (a) Upconversion spectra
of LS nanoparticles loaded in a DAC with methanol:ethanol (4:1) pressure
medium at 0.2 GPa loading (solid black), 5.2 GPa maximum (solid maroon),
and final release pressure after three cycles (dashed black). Each
spectrum is normalized to its own green emission peak to visualize
the relative enhancement of red emission upon compression. (b) For
three pressure cycles, we record the percent change in the ratio from
the fitted ambient value (). An error-weighted
linear fit of all the
data points provides a slope or the mechanosensitivity value. LS nanoparticles
are over 3× more sensitive than AS nanoparticles with oleic acid.
Data for AS UCNPs were previously reported.[38] The error on mechanosensitivity is the 95% confidence interval of
the fit. Error bars on markers indicate the standard deviation from
three spectra collected at each pressure point and may lie within
the marker.To quantify mechanosensitivity,
we look at the linear response
of the red-to-green ratio to pressure over three cycles. Specifically,
the slope of an error-weighted linear fit for all data points serves
as our figure of merit, defined as the percent change in the red-to-green
ratio () per unit of pressure applied (GPa). Figure b displays data over
three pressure cycles with a fitted mechanosensitivity value of 32
± 4%/GPa. Interestingly, we find that LS nanoparticles are over
3 times more sensitive than their as synthesized counterparts with
an OA surface coating. As we have previously characterized, AS nanoparticles
exhibit a mechanosensitivity value of 9 ± 1%/GPa.[38] One possible explanation for the observed differences
in mechanosensitivity is the role of OA molecules in dampening the
mechanical stress that particles actually experience. For instance,
OA crystallizes around 0.2–0.4 GPa,[62] and the mismatch in elastic modulus to the particles NaYF4 host may influence the transmittance of mechanical stress and lattice
strain. The removal of OA enhances the color response of our nanoparticles,
which benefits force-detection. If other types of shell materials
or ligands are added, the particles should be recalibrated to account
for different mechanical properties. For instance, polymeric nanoparticles
have an elastic modulus <10 GPa,[63] while
α-NaYF4 nanoparticles are stiffer with a modulus
of ∼300 GPa.[61]
Buffer-Dependence
on Optical Stability
Photostability
is vital for imaging and sensing probes. Consistent brightness, for
example, is required to detect a signal over the course of biological
experiments. UCNP-based sensors typically have readouts that rely
emission intensity, ratio, or energy transfer to other agents like
dyes and fluorophores.[32−35] While UCNPs are often touted for their photostability, processes
like ion-leaching and degradation have been shown to compromise their
optical performance over time.[48,49,64] Previously, we characterized how the 4–5 nm inert shell of
our core–shell nanoparticles provides effective surface passivation
and enhances quantum yield by nearly 20×.[38] Here, in various external environments, we expect that
the inert shell will help protect the upconverting core. A previous
study, for example, showed improved photostability of core–shell
nanoparticles compared to cores alone.[65] Despite shells up to 10 nm thick, however, particles are still susceptible
to solvent effects at the surface.[54] Therefore,
understanding how the UCNPs change in various buffer types will improve
preparation and storage methods, ensuring a more consistent readout
in biology experiments.First, LS nanoparticles are suspended
in a variety of aqueous media commonly used with C. elegans, as well as other model organisms and cell lines. The media include
water, HBS, PBS, M9, and S-Medium, of which the latter three are phosphate-based
buffers. HBS and PBS are tuned to pH 7.4; water and M9 have pH 7,
and S-Medium is slightly more acidic at pH 6. To properly compare
between media types and their effect on UCNPs, we use and prepare
the same batch of nanoparticles across all media.Optical properties
could be affected by structural degradation
over time.[48,49] Hence, we analyze the size of
UCNPs stored in aqueous solution for over 3 weeks. Our particle analysis
is done on TEM images containing 100–200 nanoparticles each
(see the Methods section). Figure a displays how particle diameter
has changed across and within buffer types; each bar represents the
average size and distribution of particles. Per media type, we collect
TEM images at Day 0 (day of ligand-stripping and suspension in buffer),
Day 3, Day 7, Day 18, and Day 23. The biggest difference in particle
size comes from the initial surface modification and suspension in
aqueous media, which can be seen by comparing the colored bars (LS
UCNPs) to the black bar (AS UCNPs). AS UCNPs are 33.9 ± 3.5 nm
in diameter, while those in aqueous media range from 30.7 ± 4.1
nm (water) to 32.9 ± 4.0 nm (HBS) at Day 0. Interestingly, particle
size is fairly constant thereafter and decreases only slightly on
the final day of our investigation, suggesting that there is minimal
etching of the shell layer with the addition of buffer salts and other
ingredients. Only PBS results in a consistent decrease of average
particle size. However, the changes are within the standard deviation
of size distributions, which come from the particle synthesis and
image analysis. In previous work using PBS, nanoparticle size was
evaluated using dynamic light scattering (DLS) because the nanoparticles
had a polymeric coating. The size of those particles increased over
a week’s time due to significant aggregation.[66] In this work, we saw significantly more aggregation in
PBS and M9 compared to nanoparticles in other buffers (see Figure S5 for the complete TEM series).
Figure 3
Structural
and optical properties in buffers over time. Changes
in (a) average nanoparticle diameter, (b) red-to-green emission ratio,
and (c) emission intensity are recorded over 3 weeks after nanoparticles
are suspended in a variety of aqueous media: water (blue), HBS (green),
PBS (orange), M9 (purple), and S-Medium (pink). In part (a), the black
bar represents the diameter of as synthesized (AS) nanoparticles prior
to ligand-stripping. Error bars represent the standard deviation or
size distribution of 100–200 nanoparticles analyzed from TEMs
(see the SI). Note that values for (b)
ratio and (c) intensity are normalized to Day 0 values for each buffer,
while dashed lines indicate ideal photostability or constant emission
over time. Nanoparticle concentration (10 mg/mL) and illumination
conditions (100 W/cm2) are kept constant throughout the
duration of the experiment. Here, error bars represent the standard
deviation of three spectra collected at each time point.
Structural
and optical properties in buffers over time. Changes
in (a) average nanoparticle diameter, (b) red-to-green emission ratio,
and (c) emission intensity are recorded over 3 weeks after nanoparticles
are suspended in a variety of aqueous media: water (blue), HBS (green),
PBS (orange), M9 (purple), and S-Medium (pink). In part (a), the black
bar represents the diameter of as synthesized (AS) nanoparticles prior
to ligand-stripping. Error bars represent the standard deviation or
size distribution of 100–200 nanoparticles analyzed from TEMs
(see the SI). Note that values for (b)
ratio and (c) intensity are normalized to Day 0 values for each buffer,
while dashed lines indicate ideal photostability or constant emission
over time. Nanoparticle concentration (10 mg/mL) and illumination
conditions (100 W/cm2) are kept constant throughout the
duration of the experiment. Here, error bars represent the standard
deviation of three spectra collected at each time point.The type of buffer influences the nanoparticles’
emission
color (Figure b) and
intensity (Figure c) differently over time. For biological experiments, buffers are
preferred over water for maintaining pH and sustaining physiological
processes, so we compare across the buffers and present data for water
in the SI. Importantly, we maintain constant
particle concentration (10 mg/mL) and illumination powers (100 W/cm2) throughout the entire experiment. Since each medium has
slightly different components and pH values to start with, which will
alter absorption and emission properties, we normalize to Day 0 values
and track trends with respect to that initial data point. For instance,
the red-to-green ratios for Day 0 buffers are 8.4 (HBS), 9.3 (PBS),
8.6 (M9), and 9.3 (S-Medium).An ideal environment will maintain
constant upconversion emission,
indicated by the dashed lines in Figure b,c. Over 23 days, the red-to-green ratio
generally increases, and intensity decreases for all buffers. HBS
provides the most constant ratio over 3 weeks, while the phosphate
buffers have more pronounced changes. Phosphate adsorbs strongly onto
the nanoparticle surface,[42,66] which can cause more
particle aggregation and loss of luminescence. S-Medium is the best
of the phosphate buffers, suggesting that the presence of other ingredients,
such as cholesterol and citrate, coat the surface and mitigate the
effect of phosphate. We isolate the effect of cholesterol and citrate
on emission properties in the SI (Figure S8); cholesterol alone yields a more consistent red-to-green ratio
compared to S-Medium or citrate alone. Meanwhile, intensity tends
to be more sensitive than color and decreases rapidly in the first
week, meaning that nanoparticles are best used as soon as possible
after ligand-stripping. Because we use concentrations above saturation
(>1 mg/mL) to minimize fluoride leaching,[49] we do not observe complete intensity loss even after several weeks.
PBS is consistently the most detrimental buffer for upconversion emission,
with up to 65% loss in intensity, and should be avoided for biological
use without additional surface modification.By monitoring upconversion
emission in a variety of buffers over
time, we identify the time frame for which our LS UCNPs can be used
as sensors. Optimizing for minimal variability in both ratio and intensity,
we choose S-Medium as the medium for preparing, storing, and applying
UCNPs in the following ex vivo and in vivo tests. More rigorously, we minimize time-dependent effects by performing
experiments within 24 h of ligand-stripping the nanoparticles.
pH Stability
of UCNPs in S-Medium
Mechanical sensors
should have high sensitivity for mechanical stress and low sensitivity
for other external stimuli. pH is one such variable with vital implications
in biology. Cell cultures, for example, require stable pH levels,
necessitating the use of pH buffers that either mimic or reproduce
those found in nature.[67] However, pH changes
are also necessary for certain biological processes to occur, such
as activating enzymes or breaking down food or waste.[68,69] Chauhan et al. mapped the relevant pH values in nematode worms, C. elegans, from around pH 6 to pH 4 along its digestive
tract.[70] Because this range of pH values
is present in the same systems in which we would like to record mechanical
signals, we need to ensure that our nanoparticles have minimal pH
sensitivity. To characterize how the nanoparticles’ optical
properties change with pH, we perform ex vivo experiments
on LS nanoparticles suspended in S-Medium buffer. We incrementally
tune S-Medium down to pH 3 by adding hydrochloric acid (HCl) dropwise
and then reverse that acidification with sodium hydroxide (NaOH).Over continuous pH cycles, we observe little change in upconversion
emission. In Figure a, given normalization to the starting red-to-green ratio of 7.3,
there is a ∼5% increase of the ratio from pH 6 to pH 3 in the
first cycle. This increase persists throughout the cycles, making
the particles “redder” overall, though this effect is
within the error of measurements or the standard deviation over 9
spectra collected at each data point. In Figure b, the average intensity increases within
the first acidification step and thereafter steadies at ∼10%
above the initial value. Fluctuations in ratio and intensity are associated
with dynamic changes to the nanoparticles’ surface charge upon
protonation and deprotonation, which alter coupling to OH vibrational
modes that in turn influence radiative and nonradiative probabilities.[46,56] Here, we account for the dilution of nanoparticle concentration
with the addition of acidic and basic solutions and correct the intensity
values accordingly. The uncorrected data and additional cycles are
provided in the SI (Figure S9).
Figure 4
pH dependence
of upconversion in S-Medium. Changes in normalized
(a) red-to-green ratio and (b) intensity from initial values (dashed
lines) due to pH. For each cycle, hydrochloric acid (HCl) is added
to lower the pH of S-Medium down to pH 3, and then, sodium hydroxide
(NaOH) is added to increase the pH back to pH 6. Error bars represent
the standard deviation of values analyzed from 9 spectra collected
at each point. In part b, intensity values are corrected for the dilution
of particle concentration as a result of adding acidic and basic solutions
(see the Methods section). See Figure S9 for additional cycles and uncorrected
intensity data.
pH dependence
of upconversion in S-Medium. Changes in normalized
(a) red-to-green ratio and (b) intensity from initial values (dashed
lines) due to pH. For each cycle, hydrochloric acid (HCl) is added
to lower the pH of S-Medium down to pH 3, and then, sodium hydroxide
(NaOH) is added to increase the pH back to pH 6. Error bars represent
the standard deviation of values analyzed from 9 spectra collected
at each point. In part b, intensity values are corrected for the dilution
of particle concentration as a result of adding acidic and basic solutions
(see the Methods section). See Figure S9 for additional cycles and uncorrected
intensity data.The nanoparticles’
robustness to pH is likely due to the
buffer solution we have chosen. In a previous study using PBS, core–shell
nanoparticles with an 8 nm shell thickness showed irreversible intensity
loss at pH 4.[65] Additionally, Liu et al.
report particle etching (3 nm in diameter) at pH 3 after 1 h, which
we do not observe to the same extent, even after five pH cycles performed
over 2 h. Our particles before and after pH cycling have diameters
of 29.7 ± 4.0 and 28.1 ± 4.4 nm, respectively (see the SI). Importantly, these ex vivo tests simplify a complex biological environment and set a limit
of detection and error on upconverting sensors that rely on the emission
ratio for detecting external signals. For example, to use these particles
as stress sensors in an environment that varies in pH, changes in
the emission ratio need to be above 5%, which corresponds to pressures
greater than 0.2 GPa or forces greater than about 0.6 μN using
a single nanoparticle’s surface area.
In Vivo Imaging of Upconversion in C. elegans
Having determined how the external environment
influences the UCNPs, we implement UCNPs for in vivo imaging and evaluate their effect within C. elegans. Only a handful of studies look at upconversion emission along the
digestive tract of C. elegans,[43,44,71] most recently for the purposes of optogenetics.[72,73] These millimeter-long nematode worms are optimal for screening biocompatibility
of nanoparticles due to extensive literature on their biology, ease
of culture, transparency, predictable reproduction, and low cost.[74] Furthermore, because their genome is completely
mapped, they are excellent models for understanding health and disease.
Their digestive system is similar to that of humans.[74] As highlighted in Figure a, the digestive system consists of the pharynx, which
draws in and crushes up food at the grinder[75] in the terminal bulb, followed by intestines along most of its length,
where pH gradients and enzymes further break down the food.[70,76,77] Finally, undigested food is expelled
at the anus.
Figure 5
In vivo imaging of upconversion in C.
elegans. (a) Bright-field (BF) optical image of a C. elegans worm with parts of the digestive system highlighted.
Food passes through the pharynx, then the intestines, and is finally
expelled through the anus. (b) A composite 2-photon λ scan for
wavelengths between 490 and 690 nm is overlaid on a BF confocal image
of a worm’s pharynx. An arrow labeled 1 (maroon) marks emission
from the metacorpus region, while an arrow labeled 2 (gold) marks
emission from a region past the grinder. (c) Spectra from the two
marked areas above. Nanoparticle emission is distinct from tissue
autofluorescence and shows the characteristic green and red emission
peaks of Er3+. (d) Digital images of a worm in a microfluidic
channel are collected under illumination from a 980 nm diode laser.
Upconversion emission is detected along the worm’s lower intestines
without background fluorescence. Here, the yellow–orange is
true to the color of upconversion emission and correlates to the ratio
of red and green peaks. (e) Upconversion spectrum of nanoparticles,
integrated along the worm’s posterior intestines. The inset
is a TEM of nanoparticles collected from the liquid S-Medium culture
after overnight incubation. All scale bars for worms are 50 μm,
while the scale bar for the TEM is 50 nm.
In vivo imaging of upconversion in C.
elegans. (a) Bright-field (BF) optical image of a C. elegans worm with parts of the digestive system highlighted.
Food passes through the pharynx, then the intestines, and is finally
expelled through the anus. (b) A composite 2-photon λ scan for
wavelengths between 490 and 690 nm is overlaid on a BF confocal image
of a worm’s pharynx. An arrow labeled 1 (maroon) marks emission
from the metacorpus region, while an arrow labeled 2 (gold) marks
emission from a region past the grinder. (c) Spectra from the two
marked areas above. Nanoparticle emission is distinct from tissue
autofluorescence and shows the characteristic green and red emission
peaks of Er3+. (d) Digital images of a worm in a microfluidic
channel are collected under illumination from a 980 nm diode laser.
Upconversion emission is detected along the worm’s lower intestines
without background fluorescence. Here, the yellow–orange is
true to the color of upconversion emission and correlates to the ratio
of red and green peaks. (e) Upconversion spectrum of nanoparticles,
integrated along the worm’s posterior intestines. The inset
is a TEM of nanoparticles collected from the liquid S-Medium culture
after overnight incubation. All scale bars for worms are 50 μm,
while the scale bar for the TEM is 50 nm.C. elegans worms are fed nanoparticles in
a liquid
culture with S-Medium and Escherichia coli bacteria,
their typical food source. After overnight incubation, we verify that
nanoparticles are ingested using two imaging techniques. First, we
collect two-photon confocal scans with an excitation wavelength of
980 nm. In Figure b, we overlay the bright-field (BF) image of the worm’s pharynx
with a composite λ scan. A λ scan takes a series of images
at specific wavelengths between 490 and 690 nm in ∼10 nm intervals,
allowing for spectroscopic-like measurements. Along the worm’s
pharynx, UCNPs have accumulated past the metacorpus (maroon label).
Interestingly, emission is detected beyond the lumen in the surrounding
pharyngeal tissue, thereby suggesting that some nanoparticles are
endocytosed. Cells are negatively charged, so endocytosis by electrostatic
attraction is more likely for positively charged nanoparticles.[78] In the previous literature, this phenomenon
has been observed for positively charged polyethyleneimine (PEI)-coated
UCNPs.[43] According to Bogdan et al., the
ligand-stripping procedure leaves a surface charge dependent on pH.[56] Specifically, the nanoparticles are positively
charged at pH 4 while negatively charged at pH 7.4. Intermediary pH
values, such as those found throughout the worm, would be expected
to give rise to partial deprotonation at the surface.With two-photon
excitation, some autofluorescence is also detected
past the grinder in the gut (gold label). Autofluorescence is a product
of biomolecules and predominantly expresses itself in the intestines
under UV and visible excitation.[79] In Figure c, spectra for the
two locations in the image reveal distinguishing features of particle
emission compared to tissue autofluorescence. The former has peaks
in the green and red, consistent with Er3+ emission.Importantly, because upconversion relies on real energy states
in the nanoparticle, imaging does not require two-photon excitation.
To demonstrate this concept, we illuminate a worm with a continuous-wave
(CW) 980 nm diode laser at ∼50 W/cm2, thereby removing
background autofluorescence in the fluorescence image (Figure d). This image shows how nanoparticles
have packed along the lower intestines. Contributions of green and
red emission, as seen in the associated spectrum (Figure e), result in yellow–orange
upconversion emission. At the posterior end, where nanoparticles have
experienced the full pH gradient induced by digestion, strong upconversion
emission can still be detected. As seen in the inset, nanoparticles
collected after feeding show no morphological deformation or significant
change in size (34.2 ± 3.1 nm).
Chronic Cytotoxicity of
UCNPs in C. elegans
Minimal toxicity has
been reported for UCNPs used in C. elegans.[43,44,72,73] However, these studies are limited to hexagonal-phase
hosts, while the mechanosensitive UCNPs are cubic-phase and contain
Lu3+ in the shell. In terms of toxicity, Lu3+ has been less studied than other lanthanides,[11] with the potential to be more harmful because of its heavier
atomic weight.[80] However, in vitro cell cultures do not suggest significant cytotoxicity.[81,82] Further, incubation times for feeding C. elegans are 12–15 h, a duration for which lanthanide leaching
is minimal, even for unshelled UCNPs.[64]To assess whether or not these nanoparticles are detrimental
to the health of C. elegans worms, we perform brood
assays, which monitor the number of progeny a worm produces at maturity.
Brood assays are considered a highly reliable form of chronic toxicity
assay for C. elegans, because egg-laying behavior
is consistent in worm cultures across laboratories while other assays
(e.g., survival rate or lifespan, presented Figure S10) are not.[83,84] We study two treatment conditions:
with and without UCNPs. Specifically, worms are either treated with
UCNPs (∼0.1 mg per worm) suspended in S-Medium or just S-Medium.
After an overnight incubation in liquid culture, we begin the brood
assay (see the Methods section). Three trials
of the brood assay, each starting with 10 worms per condition, are
performed. In Figure a, each curve shows the number of eggs an individual worm laid each
day. Since worms are treated during their larval (L4) stage, Day 1
after treatment corresponds to worms with the maturity of Day 1 Adults.
Consistent with normal reproductive behavior,[83] egg-laying reaches a maximum for Day 2 Adults (i.e., Day 2 after
treatment) and tapers off by Day 5.
Figure 6
Biocompatibility of nanoparticles in C. elegans. Three trials of brood assays are conducted to
determine the chronic
cytotoxicity of nanoparticle ingestion at a concentration of ∼0.1
mg/worm. In each trial, 10 control worms (black lines) and 10 worms
treated with UCNPs (maroon lines) are monitored day-to-day after overnight
incubation in a liquid S-Medium culture. (a) The number of eggs laid
each day after treatment is recorded for individual worms (N = 10 per condition per trial), indicated by different
shades of color and line curves. (b) The total brood size is plotted
in a bar graph for all three trials. The total brood size is the cumulative
egg count from Day 1 to Day 5 after treatment. Worms that did not
last the full duration of the study were excluded. Markers represent
individual worms; the bar heights represent the mean, and error bars
represent the standard deviation.
Biocompatibility of nanoparticles in C. elegans. Three trials of brood assays are conducted to
determine the chronic
cytotoxicity of nanoparticle ingestion at a concentration of ∼0.1
mg/worm. In each trial, 10 control worms (black lines) and 10 worms
treated with UCNPs (maroon lines) are monitored day-to-day after overnight
incubation in a liquid S-Medium culture. (a) The number of eggs laid
each day after treatment is recorded for individual worms (N = 10 per condition per trial), indicated by different
shades of color and line curves. (b) The total brood size is plotted
in a bar graph for all three trials. The total brood size is the cumulative
egg count from Day 1 to Day 5 after treatment. Worms that did not
last the full duration of the study were excluded. Markers represent
individual worms; the bar heights represent the mean, and error bars
represent the standard deviation.The cumulative egg count or total brood size is presented
in Figure b for all
three trials.
We have excluded worms that did not last the full 5 day count, due
to escape from their agar plates or error during plate-to-plate transfer.
In Trial 1, the control treatment (no UCNPs) yields an average brood
size of 278 ± 34 worms, while treatment with UCNPs yields an
average of 272 ± 50 worms. In Trial 2, the values are similar
at 274 ± 36 and 279 ± 25 worms, respectively. Meanwhile,
Trial 3 shows a smaller brood size across both treatments: 220 ±
24 (without UCNPs) and 221 ± 26 (with UCNPs). These average brood
sizes are typical for wild type (N2) worms,[83] and the variation across trials or worm populations exceeds the
variation between treatments. These results indicate that ingestion
and accumulation of UCNPs in the digestive tract do not affect worm
reproduction. Such low toxicity allows us to use these UCNPs safely
in C. elegans.There are several considerations
for applying nanoparticles to
other biological systems, including cells, tissues, and living organisms.
First, how nanoparticles are administered affects their distribution
in tissues. For instance, Zhou et al. showed that the biodistribution
of particles in organs was different if the mice were fed or injected
with UCNPs.[45] Next, there are fundamental
differences between cells and animals. Eating by a cell, or endocytosis,
is highly dependent on surface charge; if the charge is positive or
cationic, particles are more likely to be engulfed by the cell.[78] After particles are endocytosed and compartmentalized
in the acidic lysosome, cytotoxicity can be caused by nanoparticles
stripping phosphates from the lipid bilayer and transforming into
an urchinlike morphology without phosphonate pretreatment.[41,42] In contrast, particles that are eaten by C. elegans worms are passed through the digestive tract.[43,44] Here, we demonstrate that feeding particles to worms even at concentrations
of 0.1 mg/animal has no effect on fecundity, and particles collected
after feeding retain their morphology. Although generalizations about
toxicity are challenging, our findings suggest that delivering nanoparticles
by feeding has few if any deleterious effects on either the particles
or the animal.
Conclusions
In summary, we evaluate
the biocompatibility of mechanosensitive
UCNPs from two perspectives: (1) the effect of buffer and pH on their
structural stability, mechanosensitivity, and optical performance,
and (2) their potential toxicity in C. elegans. On
the basis of a series of ex vivo and in vivo tests, our ligand-stripped core–shell nanoparticles are highly
mechanosensitive, pH-stable in S-Medium, and nontoxic by ingestion,
rendering them useful for in vivo mechanosensing.
More generally, our work highlights the importance of characterizing
interactions between nanoparticles and their environment to optimize
their use in biology. In the case of mechanosensors, we can better
distinguish real signals from noise and determine detection limits.
It is important to note that optimization steps will vary depending
on the specific biological application. For instance, additional analyses
will be needed to assess their functionality and toxicity in intracellular
environments for applications that depend on delivering the nanoparticles
to the cellular cytoplasm. Our focus here has been on the functionality
of mechanosensitive nanoparticles in extracellular environments, such
as the fluid cavities inside organs or potentially applied to tissue
slices in vitro. Indeed, the nanoparticles developed
and characterized in this study may also be useful for mechanical
studies of the digestive organs of other animals as well as other
fluid-filled organs, such as the vertebrate eye.While the ensemble
measurements we carried out are most relevant
for imaging in C. elegans, other applications may
hinge on single-particle measurements, which could increase the dissolution
rate and quench emission within several hours.[48,49] More sophisticated surface modification techniques, including ligand-exchange
and additive coatings,[42,50−53] may then be required for improved
stability or implemented to expand bioconjugation capabilities. This
decision will then have consequences in sensing capabilities, toxicity,
and other measurements of biocompatibility. Given optimization of
optical performance and toxicity through application-specific characterization,
mechanosensitive UCNPs promise a new way to study mechanobiology,
starting with background-free visualizations of mechanical events
in living cells, tissues, and animals.
Methods
Synthesis of
Core–Shell UCNPs
Cubic-phase core–shell
nanoparticles (NaYF4:Yb,Er@NaLuF4) are synthesized
according to methods detailed in our earlier work[38] and modified from Li et al.[85] Briefly, cores are synthesized in a 250 mL round-bottom flask containing
a mixture of 5 mmol of Ln(CF3COO)3 (Ln = 80%
Y, 18% Yb, and 2% Er), 5 mmol of Na(CF3COO), 16 mL of oleic
acid (OA), and 32 mL of octadecene (ODE). The mixture is heated to
150 °C for 1 h and then cooled to 50 °C before adding 16
mL of oleylamine (OM). Following the addition of OM, the mixture is
heated to 100 °C and stirred under vacuum for 30 min. The flask
is then purged with argon gas and heated to 310 °C. The reaction
is stopped 20 min later by removing the heating mantle and cooled
to room temperature. After cleaning with ethanol three times (centrifugation
at 3000 RCF for 5–10 min), the nanoparticles are suspended
in 25 mL of cyclohexane before shelling.Shelling is performed
in a 50 mL flask. First, the precursors (0.2 mmol of Na(CF3COO), 0.2 mmol of Ln(CF3COO)3, 5 mL of OA,
and 5 mL of ODE) are mixed, heated to 150 °C for 1 h, and then
cooled to 50 °C. Portions of 1 mL of the cores in cyclohexane
are then added before heating the mixture to 100 °C and pulling
vacuum for 30 min. Following an argon purge, the mixture is heated
to 310 °C and allowed to react for 30 min. Finally, core–shell
nanoparticles are cleaned as above and suspended in 2 mL of cyclohexane.
Ligand-Stripping UCNPs
As synthesized (AS) nanoparticles
are transferred to a scintillation vial of known mass. The cyclohexane
solvent is allowed to evaporate before weighing the vial and determining
the mass of UCNPs. Then, a 0.04 M solution of HCl in 80% ethanol and
20% water is added to the vial (∼1–10 mL per 10 mg of
UCNPs). The vial is sonicated for 20 min to detach the OA ligand.
Afterward, the mixture is transferred to a separatory funnel. DI water
and diethyl ether (Sigma-Aldrich) are added to the funnel such that
volumetrically, the ratio of the three components is 1:1:1. The funnel
is shaken several times to mix the UCNP solution with diethyl ether;
the stopper is released to relieve pressure between shakes since diethyl
ether is quite volatile. After shaking, the mixture phase-separates
with diethyl ether on top and the denser aqueous media below. Stripped
OA molecules will remain at the interface, while ligand-stripped (LS)
UCNPs remain in the aqueous phase. The stopcock is opened to collect
the aqueous phase. The remaining diethyl ether is discarded, and the
funnel is rinsed with ethanol before repeating the procedure for the
collected UCNPs. This time, only diethyl ether is added to the UCNPs
in a 1:1 volumetric ratio. Again, the aqueous phase is collected and
transferred to a centrifuge tube, where isopropyl alcohol (IPA) is
added such that it comprises more than three-quarters of the total
volume. Nanoparticles are crashed out at 3000 RCF for 10 min. Residual
solvent is allowed to dry off before adding buffer solution. For our
study in buffers, we prepare 10 mg/mL UCNP solutions. For feeding
experiments, we prepare 5 mg/mL UCNP solutions. Note that these concentrations
assume perfect yield from the ligand-stripping procedure.
Preparation
of Buffers
M9 buffer (pH ∼ 7) was
made by mixing 3 g of KH2PO4, 6 g of Na2HPO4, 5 g of NaCl, and 1 L of double-distilled
water (ddH2O). HBS was made by adding 4.24 g of NaCl, 0.186
g of KCl, 0.238 g of MgCl2, 0.0524 g of CaCl2, and 1.192 g of HEPES to 500 mL of ddH2O. PBS solution
was made from 4 g of NaCl, 0.1 g of KCl, 0.72 g of Na2HPO4, 0.12 g of KH2PO4, and 500 mL of ddH2O. Both HBS and PBS buffers were tuned to pH 7.4 using HCl.
For S-Medium, S-Basal was first prepared by adding 23.4 g of NaCl,
4 g of K2HPO4, 24 g of KH2PO4, and 4 mL of cholesterol solution in 95% ethanol (5 mg/mL)
to 4000 mL of ddH2O. Then, 12 mL of 1 M MgSO4, 12 mL of 1 M CaCl2, 40 mL of 1 M K-Citrate, and 40 mL
of trace metal solution were added. S-Medium has pH ∼6 and
osmolarity ∼370 mOsm/kg.
Fourier-Transform Infrared
Spectroscopy (FTIR)
To characterize
the samples vibrational modes, we use a Nicolet iS50 FTIR spectrometer
(Thermo Scientific) located in the Soft and Hybrid Materials Facility
(SMF) at Stanford University. The instrument is used in its attenuated
total reflectance (ATR) mode. For all samples, a droplet of ∼10
μL of the solution is drop-cast on a glass slide and heated
to evaporate the solvent. The dried sample is then placed against
the diamond ATR crystal. Spectra are acquired from 500 to 4000 cm–1. A background of the atmosphere is taken and subtracted
from all spectra. After acquiring each spectrum, the ATR crystal is
wiped clean with hexanes, isopropanol, water, and acetone and allowed
to dry.
Particle Analysis
We take transmission electron micrographs
(TEMs) containing ∼100–200 nanoparticles (see Figure S5) on an FEI Tecnai transmission electron
microscope at 200 kV. Due to small interparticle distances, overlapping
nanoparticles, and aggregation, we manually draw circles over nanoparticles
using ImageJ software and calculate their area. Diameter (ds) is calculated from the measured area (As) using the following equation: . In the SI,
we display histograms of the diameter values for all of our samples
and fit them to a normal distribution to find the mean size and standard
deviation.
Diamond Anvil Cell (DAC) Measurement
Methods for performing
DAC spectroscopy to characterize mechanosensitivity are described
in detail in our earlier work.[38,61] Key modifications include
using LS core–shell UCNPs, which are first suspended in S-Medium
and drop-cast on a heated glass slide before loading into the DAC
sample chamber. Additionally, the hydrostatic pressure medium is methanol:ethanol
(4:1). Pressure is related to the shift in ruby R1 photoluminescence from λ0 to λ
by the calibration equation: P = (A/B)[(λ/λ0) – 1], where A = 1904 GPa and B = 5.[60,86] Upconversion spectra are collected
by illuminating the DAC sample chamber with a CW 980 nm diode laser
(Opto Engine) at ∼30 W/cm2 through a 10× Mitutoyo
Plan Apo infinity-corrected long working distance objective (0.28
numerical aperture, NA) and spectrometer (Princeton Instruments Acton
2500) parameters: 250 μm slit, 500-Blaze 150 g/mm grating, and
0.21 nm resolution.
Cuvette Spectroscopy and pH Cycling Measurement
A CW
980 nm diode laser (Opto Engine) is fiber-coupled and focused onto
a 10 mm path length quartz cuvette (Starna Cells, Inc.) through a
collimator with an N-BK7 Plano convex lens (f = 20.0
mm) and an additional Plano convex lens (f = 35.0
mm) from Thorlabs. The incident irradiance is estimated to be 100
W/cm2 with a power of 800 mW and beam diameter of 1 mm.
Emission is collected after a 750 nm SP filter by an OceanOptics HR4000
spectrometer.For pH cycling, 0.48 M HCl and 0.48 M NaOH solutions
in DI water are prepared. pH is measured for a test sample containing
S-Medium buffer to calibrate the volume of acid or base necessary
to tune pH across the relevant range (pH 3 to pH 6) for five cycles.
On the basis of the calibration, HCl and NaOH are added dropwise to
the cuvette containing 1 mL of UCNPs in S-Medium (10 mg/mL). Spectra
is collected after shaking the cuvette using the setup mentioned above.
For intensity corrections, x is added to the raw
normalized intensity values. . This calculation assumes that intensity
and concentration are linearly related.
C. elegans Culture and Feeding
Wild
type (N2) C. elegans worms are cultured at 20 °C
on NGM plates seeded with OP50E. coli bacteria.
Worm growth is synchronized with an established bleaching procedure.[87] Two and a half days after bleaching, 50 worms
in the L4 stage are picked into a liquid culture containing OP50 (OD600
= 0.3), S-Medium, and UCNPs (5 mg/mL) in a 1:4:5 volumetric ratio.
A 1 mg portion of UCNPs is used for every 10 worms in the liquid culture.
The worms are placed on a shaker in an incubator at 20 °C for
12–15 h overnight. Worms are then collected for imaging experiments
or toxicity tests.
Imaging Upconversion Emission in C. elegans
After the feeding procedure, C. elegans worms are picked onto a glass slide with a 5%
agarose pad and a
drop of 0.2 μm polystyrene beads, as detailed by Kim et al.[88] Two-photon confocal microscopy is performed
on an Inverted Zeiss LSM 780 instrument, located in the Shriram Cell
Sciences Imaging Facility (CSIF) at Stanford University. The microscope
is coupled to a Spectra Physics MaiTai, DeepSee ultrafast pulsed laser
system for two-photon excitation at 980 nm. The λ scan uses
a 32 anode Hybrid-GaAsP detector for spectral unmixing.For
in-house upconversion imaging, we load the worms in a microfluidic
device developed by Nekimken et al.[89] A
50 μm wide channel confines Adult Day 1 worms in place. We illuminate
the channel with the CW 980 nm diode (∼50 W/cm2)
that is coupled to a Zeiss Axio Observer inverted microscope, through
a 10× objective (0.2 NA). We collect images on an Allied Vision
Technologies (AVT) digital camera and collect spectra with a Princeton
Instruments Acton 2500 spectrometer and ProEM eXcelon CCD detector
using a 500-Blaze 150 groove/mm grating.
Evaluating Chronic Cytotoxicity
After liquid culture,
10 worms from each treatment condition (with and without UCNPs) are
put in their individual NGM plates (i.e., 20 worms and 20 plates total).
The brood assay is performed double-blind, meaning that the plates
are coded by a researcher that does not know which plates are from
which treatment condition. For 5 consecutive days thereafter, each
worm is picked onto a new agar plate. The original plate is counted
3 days after the transfer, which allows the eggs that were laid on
the agar plate to hatch and mature, improving visibility for counting.
To minimize movement from the worms during counting, plates are put
in the fridge for ∼10 min prior to counting. The procedure
is repeated every day at about the same time to record day-to-day
egg-laying. Five days after treatment, egg-laying stops, and all worms
from one treatment are placed in the same agar plate. For monitoring
lifespan, live worms are determined by movement and their response
to a gentle tap with a platinum pick.
Safety Statement
No unexpected or unusually high safety
hazards were encountered.
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