Iris Groeneveld1, Ingrida Bagdonaite1, Edwin Beekwilder2, Freek Ariese3, Govert W Somsen1, Maarten R van Bommel4,5. 1. Division of Bioanalytical Chemistry, Amsterdam Institute for Molecular and Life Sciences, Vrije Universiteit Amsterdam, De Boelelaan 1108, 1081 HZ Amsterdam, The Netherlands. 2. Da Vinci Laboratory Solutions, Sydneystraat 5, 3047 BP Rotterdam, The Netherlands. 3. LaserLaB, Vrije Universiteit Amsterdam, De Boelelaan 1081, 1081 HV Amsterdam, The Netherlands. 4. Analytical Chemistry Group, van 't Hoff Institute for Molecular Sciences, University of Amsterdam, Science Park 904, 1098 XH Amsterdam, The Netherlands. 5. Conservation and Restoration of Cultural Heritage, Amsterdam School for Heritage, Memory and Material Culture, University of Amsterdam, P.O. Box 94552, 1091 GN Amsterdam, The Netherlands.
Abstract
In many areas, studying photostability or the mechanism of photodegradation is of high importance. Conventional methods to do so can be rather time-consuming, laborious, and prone to experimental errors. In this paper we evaluate an integrated and fully automated system for the study of light-induced degradation, comprising a liquid handler, an irradiation source and exposure cell with dedicated optics and spectrograph, and a liquid chromatography (LC) system. A liquid core waveguide (LCW) was used as an exposure cell, allowing efficient illumination of the sample over a 12 cm path length. This cell was coupled to a spectrograph, allowing in situ absorbance monitoring of the exposed sample during irradiation. The LCW is gas-permeable, permitting diffusion of air into the cell during light exposure. This unit was coupled online to LC with diode array detection for immediate and automated analysis of the composition of the light-exposed samples. The analytical performance of the new system was established by assessing linearity, limit of detection, and repeatability of the in-cell detection, sample recovery and carryover, and overall repeatability of light-induced degradation monitoring, using riboflavin as the test compound. The applicability of the system was demonstrated by recording a photodegradation time profile of riboflavin.
In many areas, studying photostability or the mechanism of photodegradation is of high importance. Conventional methods to do so can be rather time-consuming, laborious, and prone to experimental errors. In this paper we evaluate an integrated and fully automated system for the study of light-induced degradation, comprising a liquid handler, an irradiation source and exposure cell with dedicated optics and spectrograph, and a liquid chromatography (LC) system. A liquid core waveguide (LCW) was used as an exposure cell, allowing efficient illumination of the sample over a 12 cm path length. This cell was coupled to a spectrograph, allowing in situ absorbance monitoring of the exposed sample during irradiation. The LCW is gas-permeable, permitting diffusion of air into the cell during light exposure. This unit was coupled online to LC with diode array detection for immediate and automated analysis of the composition of the light-exposed samples. The analytical performance of the new system was established by assessing linearity, limit of detection, and repeatability of the in-cell detection, sample recovery and carryover, and overall repeatability of light-induced degradation monitoring, using riboflavin as the test compound. The applicability of the system was demonstrated by recording a photodegradation time profile of riboflavin.
Photodegradation
or light-induced degradation (LID) is the process
where molecules degrade under the influence of light. There are applications
where light is deliberately used to destroy molecules, for instance,
for the removal of chemicals in wastewater. There are also areas where
photodegradation should be prevented as much as possible, for example
in art conservation, in the food and pharmaceutical industry,[1] and for everyday products, such as wall paints,
car coatings, or textile dyes. Whether it is to prevent or to actually
initiate photodegradation, these processes have to be studied in a
controllable and semiquantitative manner in order to achieve effective
application or prevention.Studying these photochemical processes,
however, is complicated
and laborious. Photodegradation is significantly influenced by a number
of factors, such as the light dose, the applied wavelength, the solution
pH, and the presence of other compounds or gases, such as oxygen.
These parameters may affect the kinetics as well as the degradation
products formed. To add to the complexity related to the many physical
parameters, there is also a challenge in studying the influence that
different analytes may have on each other when studying mixtures.
With commonly used methods it is often difficult to find a strong
link between the parent molecule and the degradation product(s). An
example of such a method is where solutions are degraded in a beaker
placed under a light source.[2−11] These experiments can take rather long as the irradiation (power
per area) is often low; that is, Confortin et al.[6] irradiated a solution of crystal violet for at least 100
h, and Weyermann et al.[7] required 54 h.
Besides, errors are easily introduced since samples are taken manually,
and solvents may evaporate during irradiation,[7] resulting in irreproducible results. Hence, efficient tools are
needed to study photodegradation in a simple and repeatable manner,
while including the most important parameters affecting photodegradation.In a previous report, we demonstrated the use of a liquid core
waveguide (LCW) with a low refractive index (n =
1.29) as a LID cell with in situ absorbance detection to study photodegradation
in an aqueous solution (n = 1.33) in an efficient
way.[12] The gas permeable LCW allows for
the continuous supply of air to the photoreaction to create an environment
similar to reality. In the same paper we suggested how a postseparation
in online fashion could deal with the sample complexities that are
met in LID studies,[12] something that was
not yet done with other photoreactors based on an LCW.[13,14] Den Uijl et al.[15] demonstrated that the
LCW-based LID cell allows for more rapid photodegradation of crystal
violet and eosin Y as compared to standard in-solution photodegradation
approaches. Within the TooCOLD project (Toolbox for studying the Chemistry
Of Light-induced Degradation) we have now developed the TooCOLD box,
which includes the aforementioned LID cell and established coupling
with liquid chromatography (LC) for analysis of the product mixture
after the degradation process.Here, we report on the analytical
performance and use of this new
tool using riboflavin as a model compound. Riboflavin, also known
as vitamin B2, has been widely studied for its limited photostability
and degradation in aqueous and organic solvents. The vitamin, which
has also been applied as a textile dye,[16] degrades rapidly under the influence of light, losing its health
benefits and color characteristics. Typical degradation products include
formylmethylflavin, lumichrome, lumiflavin, and carboxymethylflavin.[17−21] Due to its very poor lightfastness, however, it has also been used
as an efficient photosensitizer in order to study the photodegradation
of other compounds.[22] In short, the photodegradation
of riboflavin is well-known under different circumstances; this is
why it was chosen as a model compound for this study.In this
paper, we report on the linearity and linear range, limit
of detection (LOD), and repeatability of the in-cell detection with
and without the addition of airflow. We determined the recovery of
the analyte from the LID cell for LC analysis and the repeatability
of the degradation experiments. To demonstrate the applicability of
the system for studying photodegradation, a time profile of the degradation
of riboflavin was measured fully automatically.
Materials
and Methods
Chemicals
For LC analysis we used
ultrapure Milli-Q water (MQ), methanol (MeOH; Biosolve, UPLC/MS grade),
formic acid (FA; Sigma-Aldrich), sodium hydroxide (NaOH; Sigma-Aldrich),
and triethylamine (TEA; Sigma-Aldrich). All experiments were performed
using solutions of riboflavin (RF; Sigma-Aldrich, pharmaceutical secondary
standard) in MQ.
TooCOLD Setup
The TooCOLD system
consists of five main parts: (i) a liquid handler, (ii) the TooCOLD
box, (iii) an irradiation source, (iv) a CCD spectrometer, and (v)
an LC-diode array detector (DAD) system. The complete setup is shown
in Figure S1 in the Supporting Information (SI), with details of the irradiation light path in Figure S2.
Liquid Handler
The liquid handler
is a Multipurpose Sampler (MPS) from GERSTEL and is controlled by
MAESTRO software (GERSTEL). The MPS was configured to inject samples
via the injection port of the TooCOLD box (see Figure a) to perform washing cycles of the LID cell
and to transfer the sample from the LID cell to the LC. It was also
used to trigger the CCD detector to record real-time spectra at regular
intervals and the LC system to start the analysis. The methods for
each experiment were designed in the MAESTRO software (see Figure S3). Injections were done with the MPS
into the TooCOLD system, unless stated otherwise. In order to prevent
the formation of air bubbles inside the LCW after injection, samples
were always injected at a flow rate of 10 μL·s–1.
Figure 1
Drawing of TooCOLD box (without lid) depicting all its components:
(a) injection port, (b1,2) filter wheels with lenses before
and after the LID cell, (c) LID cell, (d) gas in- and outlet, (e)
6-port valve with 20 μL sample loop, (f) connection to LC pump
and column, (g) waste channel, (h) excitation fiber with collimator,
and (i) detection fiber with collimator.
Drawing of TooCOLD box (without lid) depicting all its components:
(a) injection port, (b1,2) filter wheels with lenses before
and after the LID cell, (c) LID cell, (d) gas in- and outlet, (e)
6-port valve with 20 μL sample loop, (f) connection to LC pump
and column, (g) waste channel, (h) excitation fiber with collimator,
and (i) detection fiber with collimator.
TooCOLD Box
The TooCOLD box was
engineered by DaVinci Laboratory Solutions based on research dedicated
to the characteristics of an LCW-based LID cell which was published
previously.[12] The LID cells were fabricated
by the Precision Mechanics and Engineering Group of the Vrije Universiteit
Amsterdam. A schematic overview of the TooCOLD box is presented in Figure . The box consists
of (a) an injection port, (b) two filter wheels, (c) the LID cell,
which contains the LCW (Teflon AF2400, i.d., 800 μm; wall thickness,
100 μm; physical path length, 12 cm; volume, 60 μL), (d)
connections for air supply (in- and outlets) to study photo-oxidation
processes, (e) a 6-port valve with a 20 μL sample loop, which
is connected to (f) the LC system and (g) a waste channel. The filter
wheels can be used to implement optical filters to e.g. study the
effect of selected wavelengths of the light spectrum or to decrease
the exposure light intensity to check whether the product ratio is
intensity dependent (for future experiments, not used in this study).
The filter wheel holders also align the excitation fiber (h) with
the LID cell, and the LID cell with the detection fiber (i).
Irradiation Source
A 75 W Xenon
short-arc fiber-coupled light source from Thorlabs (SLS205) was used
for the illumination of the LID cell. The solarization-resistant excitation
fiber (M112L01; i.d., 200 μm; NA = 0.22) was connected to a
UV/vis collimator from Avantes (COL-UV/vis), which was attached to
a plano-convex lens (Thorlabs, LA4052-ML) with a focal length of 35
mm by means of a lens tube. The collimated beam is guided through
the lens tube to reach the lens so that the light was focused into
the opening of the LID cell (Figure S2).
Spectrograph
A CCD spectrometer
from Thorlabs (CCS100/M) was used for real-time, in-situ monitoring
of the irradiated sample inside the LCW. It was fiber-coupled to the
back-end of the LID cell with the same type of lens and collimator
as the excitation fiber. The spectrometer has a spectral range of
350–700 nm, with a spectral accuracy of 0.5 at 435 nm (fwhm),
and a signal/noise ratio of ≤2000:1 (maximum signal/noise ratio
per pixel). For light detection, it contains a 3648 pixel CCD line
array, and signal integration times between 5 and 15 ms were used.
LC-DAD
All LC analyses were carried
out on an Agilent 1100 series LC system equipped with a quaternary
solvent delivery system, a column oven, an autosampler, and a diode
array detector (DAD). A ZORBAX Eclipse RRHD C18 column (2.1 ×
150 mm; particle size, 1.8 μm) and a security guard column (2.1
× 5 mm) containing the same C18 phase were both obtained from
Agilent Technologies. The LC method applied gradient elution with
mobile phase A consisting of 95/5 (by volume) and B of 5/95 buffered
MQ (0.1 M FA, 0.02 M NaOH, pH = 3) and MeOH, respectively, both with
5 mM TEA as an ion pairing agent. A gradient was applied at a flow
rate of 120 μL·min–1 with first 5% mobile
phase B for 1.5 min, then increasing from 5% to 95% in 15 min, followed
by isocratic for 5 min. Then, the mobile phase was brought back to
5% B within 2 min, and the column was equilibrated for 5 min to be
ready for the next analysis.
Operation
of the TooCOLD System
A
typical method for a 30 min degradation experiment can be found in Figure S3. In short, for each degradation experiment
the MPS injected 70 μL MQ, which served as a blank sample after
which it triggered the CCD spectrometer to record a reference signal
(I0). Then, 70 μL of sample was
injected. After this, the syringe of the liquid handler was washed
with 300 μL of 75% MeOH in MQ, followed by the same volume of
MQ. After washing of the needle, a transmission spectrum was recorded
at t = 0 min for control. Then, a delay time was
programmed, corresponding to the total irradiation time for the specific
degradation experiment. Trigger signals to record transmission spectra
were programmed at certain intervals, for example, every 10 min, to
monitor the overall content of the LCW. Absorbance spectra were later
calculated by the software of the CCD spectrometer. Next, the sample
was transferred to the sample loop of the 6-port valve. Unless stated
otherwise, this was done by injecting 50 μL of 75% MeOH in MQ
to transfer the middle part of the LID cell’s content to the
loop. Then, the LC was triggered by the MPS to start the analysis
of the irradiated sample. Directly after the pulse was given, the
6-port valve was automatically switched from the “load”
into the “inject” position, so that the sample loop
was flushed with the mobile phase of the LC system. Finally, the valve
was switched to the load position again and the LID cell was cleaned
with 300 μL of 75% MeOH in MQ and then with pure MQ.
Analytical Performance
The performance
of the TooCOLD setup was evaluated with regards to the in situ UV/vis
spectroscopy, and repeatability of the degradation experiments. The
LC method validation is presented in another report.[23] In order to test significance, F-tests, and t tests were performed on the corresponding data sets.The linearity,
linear range and LOD of the in-cell absorbance measurements (optical
path length, 12 cm) were determined in 5-fold. A dilution series of
RF was prepared in MQ with concentrations from 1 × 10–6 to 13 × 10–6 M. Prior to each sample, a blank
sample (MQ) was injected and the intensity was recorded as I0 signal at a wavelength of 450 nm.The
repeatability and stability of the in situ UV/vis detection
were determined in two ways: (i) the in-cell stability by injecting
a solution of RF (5 × 10–6 M) while measuring
every 15 min for 3 h, and (ii) possible fluctuations caused by the
injector by injecting the same RF solution every 15 min for 3 h and
measuring the absorbance.The TooCOLD system was also tested
for recovery from the LID cell
by injecting a sample of RF without subsequent irradiation and analyzing
the sample by LC. The recovery was calculated by comparing the measured
peak area of the RF main peak with that of a reference sample measured
directly by LC-DAD while circumventing the TooCOLD box. As mentioned
in section , the
transfer of the sample to the loop was accomplished by addition of
a so-called “transfer volume”, consisting of 75% MeOH
in MQ. The tested volumes were 50, 70, or 110 μL. These volumes
were chosen for specific reasons, as depicted in Figure S4: 50 μL was the physical minimum required by
the MPS and allows the middle of the content of the LCW to be transferred
to the sample loop; 70 μL should transfer the part of the sample
present closer to the entrance of the LCW; 110 μL was chosen
to determine whether the “tail” of the flushing solvent
would contain significant amounts of RF. Another factor affecting
the recovery was the sample loop flushing time, that is, the period
of the LC mobile phase traveling through the sample loop. This flushing
time was 12, 18, or 24 s, which is equivalent to 24, 36, and 48 μL
when using a flow rate of 120 μL·min–1 for LC analysis.The repeatability of the degradation experiments
was assessed in
two ways: according to the standard deviation (SD) of the decrease
in absorbance of a solution of RF measured in the LCW, and the decrease
in peak area of RF measured by LC after degradation.
Degradation Time Profile of Riboflavin
A time profile
of the degradation of a solution of 5 × 10–6 M RF in MQ was performed in triplicate in order to
test the potential of the TooCOLD system. In total, nine time points
were taken: at 0 min (control, no irradiation), 30, 60, 90, 120, 150,
180, 210, and 240 min. In situ absorbance measurements of the content
of the LCW were taken every 10 min. For the control measurements,
a sample was injected and after 10 min without irradiation, the sample
was analyzed by LC-DAD. For all other time points, a fresh sample
was injected and irradiated for the designated time, followed by LC
analysis. The whole experiment lasted for 54 h and was fully automated.
Results and Discussion
Analytical
Performance
This section
describes and discusses the analytical performance of the system,
including the linearity, linear range, and stability of the in-cell
detection with and without an active airflow surrounding the LCW.
The recovery from the LID cell for LC analysis, and the repeatability
of the degradation experiments were determined.
Linearity
and Linear Range
In Figure the average absorbances
measured for different concentrations (1–13 × 10–6 M) of RF using the LCW are plotted, including the resulting linear
trend line fitted through the averages. The correlation coefficient R was 0.984 and the relative standard deviation (RSD) ranged
between 0.07 and 0.13 for the RF solutions between 3.0 × 10–6 and 12 × 10–6 M. Higher RSDs
of 0.38 and 0.32 were observed for 1.0 × 10–6 and 2.0 × 10–6 M, respectively. High RSD
values are to be expected for low absorbance levels since in an absorption
experiment the absolute SD does not decrease for lower concentrations.
The LOD for RF was calculated using the linear trend line in Figure and was determined
to be 1.74 × 10–7 M (calculation method is
described in more detail in the SI). At
13 × 10–6 M, all measured absorbances fall
outside the 95% CI of the linear fit of the absorbance–concentration
relation, indicating the upper limit of the linear range (1–12
× 10–6 M) is reached at a measured absorbance
of approximately 1.5. Therefore, for compounds absorbing in the visible
range, concentrations that result in an absorbance of up to about
1.5 can be measured using this particular spectrograph. However, in
order to ensure a pseudouniform analyte illumination across the whole
length of the cell when studying photodegradation, the concentration
of the solution and its corresponding absorbance should be considered
carefully. A too high concentration may result in too strongly decreasing
light intensities across the length of the cell, resulting in different
degradation rates depending on the concentration and the position
in the cell. This assumption was tested by irradiating solutions with
different concentrations of RF for 30 min (n = 3)
followed by LC-DAD analysis (results presented in Figure S5). As expected, higher concentrations resulted in
slower degradation rates, but this effect was found to be negligible
below concentrations of 6.5 μM. Therefore, we continued our
study with a concentration of 5 μM, corresponding to an absorbance
below 0.6 over a 12 cm long LCW, and thus lower than 0.3 for the distance
to the central part of the LCW.
Figure 2
Average absorbance values with error bars
of a dilution series
of RF (1.0–13 × 10–6 M) measured in
5-fold using the LCW. A linear trendline (—) was fitted through
all points and a 95% CI for the trend line was calculated (- - -).
Average absorbance values with error bars
of a dilution series
of RF (1.0–13 × 10–6 M) measured in
5-fold using the LCW. A linear trendline (—) was fitted through
all points and a 95% CI for the trend line was calculated (- - -).
System Repeatability
and Stability
The repeatability and stability of the system
are important features
during in situ monitoring, especially because the photodegradation
experiment may take up to several hours. With our setup, diffusion
of air or nitrogen through the permeable LCW wall has been proven
to be fairly simple to control, as demonstrated in a previous publication,[12] and is of high interest for studying photo-oxidation
reactions. The effect of applying an active airflow surrounding the
LCW on the repeatability and stability was therefore evaluated.The measurement system’s repeatability and stability were
assessed in two ways: (i) injecting a single sample solution of RF
(5 × 10–6 M) and monitoring its absorbance
measurement in the LID cell over time and (ii) repeated injections
and measurement of the same fresh sample solution to check for any
fluctuations related to the injection system, with and without a continuous
airflow around the LCW. The experiments were done without inducing
LID, that is, the light source was switched on exclusively for taking
a measurement every 15 min.Table S2 shows the measured absorbances
of a solution of RF in the cell over time for the four conditions.
The result at 120 min for repeated injection with airflow was found
to be an outlier (Grubb’s test, Table S2) and, thus, was excluded from further calculations. A relatively
stable signal over a period of 3 h was observed for all conditions.
The repeatability and stability were characterized by the RSD of the
measurements, which for all conditions was relatively low, ranging
between 0.012 and 0.024 (Table S3). To
add to this, the variances were not significantly different from one
another (confidence level = 95%, Table S1), proving that repeated injections and the application of a continuous
airflow around the LCW do not affect the in situ absorption measurements.
For further degradation experiments, a continuous airflow was applied
at all times.
Recovery
Coupling
the TooCOLD box
with LC may come with sample losses due to transferring the content
of the LCW to LC, which should be prevented as much as possible. The
transfer volume required to transfer the irradiated sample from the
LCW to the sample loop was optimized (see scheme in Figure S4), together with the sample loop flushing time,
that is, the time the sample loop was in the inject position. Figure S6A shows the recovery of different LCW
transfer volumes, while maintaining a loop flushing time of 12 s.
In Figure S6B, the results are presented
when the LCW transfer volume remained constant at 50 μL, while
the sample loop flushing time was 12, 18, and 24 s, respectively.
The results of significance testing of the repeatability by F-tests
can be found in Table S1.It can
be concluded that increasing the transfer volume from 50 to 70 μL
results in a small, but significant, increase of recovery of only
3%. The error obtained for the five replicates is very low (RSD ≤
0.003), showing that the transfer from LID cell to LC is highly repeatable.
For all further degradation experiments, we applied a 50 μL
volume to transfer the central part of the LCW content for LC analysis,
because the first few cm of the LCW may not experience a uniform light
intensity over the cross section of the LCW tube. The “tail”
of the transfer solvent, obtained by using 110 μL, contained
only 4% of RF, meaning that RF was efficiently removed from the LID
cell. The blank runs, which were run in between each replicate of
RF analysis, showed that there was no detectable carryover.A stronger effect was observed for increasing the sample loop flushing
time. A significant improvement in recovery from 73% to 87% was observed
for an increase in flushing time from 12 to 18 s. With a flushing
time of 24 s, the recovery further increased to 89% (Figure S6B). A flushing time of 12 s proved to be too short
to completely empty the sample loop, and the lowest RSD (0.008) was
obtained for a sample loop flushing time of 24 s. Based on these results,
and considering the volume of the LCW (60 μL), a transfer volume
of 50 μL (corresponding to the middle of the content of the
LCW) and a sample loop flushing time of 24 s were used. These parameters,
however, depend on the length of the tubing between the injection
port, the LID cell and the 6-port valve, and the flow rate of the
LC system. The transfer volume and the flushing time should, therefore,
be optimized after any change to these parameters. It should also
be noted that the recovery may be different for other analytes, due
to the well-known “stickiness” of Teflon AF. This may
be circumvented by dissolving compounds, that are otherwise easily
adsorbed to Teflon, in partly organic solvent, for example, 50% methanol
in water.[12]
Degradation
Repeatability
The repeatability
of the analytical system can be affected by several factors and was
determined for both the in situ spectroscopic detection as well as
for the degradation experiments. For a 5 × 10–6 M test solution of RF, which was irradiated for 4 h, Figure A shows the decreases of both
the in situ absorbance and the peak area of RF measured with LC-DAD
with error bars indicating the SD (n = 5). The RSDs
of the peak areas of RF and degradation products are presented in Table S4 and an example of a resulting LC chromatogram
can be found in Figure . Low RSDs of 0.038 and 0.010 were observed for in situ absorbance
and peak area decreases of RF, respectively, which indicates that
the TooCOLD system can monitor photodegradation in a highly repeatable
manner.
Figure 3
(A) Relative decrease (%) in absorbance of RF at 450 nm after 4
h of irradiation measured in situ (blue), and in peak area of RF measured
by LC-DAD at 254 nm (orange). (B) Absorbances measured in situ at
60 min time intervals during the same 4 h degradation experiments
of RF. Error bars indicate SD (n = 5).
Figure 5
LC-DAD chromatogram recorded at 254 nm obtained after a 3 h degradation
of RF. Peaks were (tentatively) identified as FMF (1), RF (2), LF
(3), CMF (4), product 4 (5), and LMC (6).
(A) Relative decrease (%) in absorbance of RF at 450 nm after 4
h of irradiation measured in situ (blue), and in peak area of RF measured
by LC-DAD at 254 nm (orange). (B) Absorbances measured in situ at
60 min time intervals during the same 4 h degradation experiments
of RF. Error bars indicate SD (n = 5).The decrease in in situ absorbance (−91%) was somewhat,
but significantly, larger than the decrease (−85%) observed
using LC-DAD. This is rather unexpected, since the in situ measurements
show the cumulative absorbance spectrum of RF and its degradation
products, of which some also show absorption at 450 nm. A factor potentially
contributing to the observed difference is the connecting volume between
the LID cell and the six-port valve, which is about 10 μL. This
may contain nondegraded RF, influencing LC analysis in case of a slight
memory effect.During the 4 h degradations the absorbance was
recorded every 10
min, which is shown in Figure B with intervals of 60 min for legibility. With a decrease
in absorbance over time, the SDs first increase, then after 1 h of
irradiation remain relatively stable, as also shown in Table S5. This increase could be the result of
variation introduced by the degradation process combined with the
increased uncertainty associated with measuring low absorbances. Nevertheless,
it was concluded that the online absorbance measurements can be used
as a convenient tool to estimate the decrease of the main compound
and to monitor the extent of the photodegradation process inside the
LCW in real-time.
Degradation Time Profile
of Riboflavin
A time profile of the photodegradation of RF
was measured to show
the applicability of the TooCOLD system. RF was irradiated in the
LCW for 0 min (control, no irradiation), 30, 60, 90, 120, 150, 180,
210, and 240 min in triplicate, with a continuous airflow around the
LCW, followed by LC analysis of the LCW content. The system was operated
in a fully automated fashion, that is, the 2.5-day sequence was carried
out unattended requiring no manual action.The results of the
RF degradation measurements in time are presented in Figures , 5, and 6. Figure shows
the changes observed in relative peak areas measured by LC-DAD in
the irradiated sample at different time points. Figure shows a chromatogram of the RF solution
after a 3 h degradation. The corresponding absorbance spectra recorded
by the DAD are shown in Figure S7 and the
analyte retention times in Table S6. Figure shows the in situ
absorbance spectra taken every 30 min during a 4 h degradation. Figures and 6 show that the parent compound RF degraded rapidly between
0 and 30 min. After roughly 150 min, the degradation of RF seems to
level off.
Figure 4
Relative peak areas of RF and five formed products measured by
LC after degradation in the LCW for the indicated time; error bars
indicate SDs (n = 3). RF was degraded for 0 (control,
no irradiation), 30, 60, 90, 120, 150, 180, 210, and 240 min. Note
that the LC-DAD peak areas (measured at 254 nm) will not reflect the
actual relative molar concentrations, since for most products the
absorption coefficients are not known and may vary.
Figure 6
In situ
absorbance spectra measured every 30 min during a 4 h degradation
of RF. The vertical arrow signifies an overtime reduction in absorbance
at 450 nm, and the horizontal arrow an overtime blue-shift from 375
to 350 nm, indicating a gradual change in the LCW content.
Relative peak areas of RF and five formed products measured by
LC after degradation in the LCW for the indicated time; error bars
indicate SDs (n = 3). RF was degraded for 0 (control,
no irradiation), 30, 60, 90, 120, 150, 180, 210, and 240 min. Note
that the LC-DAD peak areas (measured at 254 nm) will not reflect the
actual relative molar concentrations, since for most products the
absorption coefficients are not known and may vary.LC-DAD chromatogram recorded at 254 nm obtained after a 3 h degradation
of RF. Peaks were (tentatively) identified as FMF (1), RF (2), LF
(3), CMF (4), product 4 (5), and LMC (6).In situ
absorbance spectra measured every 30 min during a 4 h degradation
of RF. The vertical arrow signifies an overtime reduction in absorbance
at 450 nm, and the horizontal arrow an overtime blue-shift from 375
to 350 nm, indicating a gradual change in the LCW content.According to literature, the major degradation products that
are
formed after photolysis of RF include formylmethylflavin (FMF), lumichrome
(LMC), and lumiflavin (LF) and also cyclodehydroriboflavin (CDRF)
after a photoaddition pathway.[17,20,24,25] Other minor degradation products
that may be found are carboxymethylflavin (CMF) after oxidation (when
oxygen is present), β-keto acid, and flavo-violet (ring-cleavage
products), and 2,3-butanedione.[18] Six distinctive
peaks were found for the degraded samples when analyzed by LC (Figure ). Five peaks that
could be identified based on their retention times and absorbance
spectra were FMF, RF, LF, and LMC and possibly also CMF. The sixth
(product 4) had an absorbance spectrum similar to RF, but could not
be identified. A few very small additional peaks were observed at
450 nm (Figure S8), but these could also
not be identified based on their weak absorbance spectra. Identification
of the degradation products would require coupling of the TooCOLD
system to mass spectrometry, however, this was beyond the scope of
the present study.Besides the observed changes in the LC chromatograms,
the changes
in the in situ absorbance spectra during a 4 h degradation are shown
in Figure . From the
first measurement on, a clear change in the ratio of the absorption
maxima at 350 and 450 nm (i.e., the absorption maxima of RF) can be
observed. This indicates a change in composition of the sample inside
the LCW, which was confirmed by LC analysis. With time, the absorption
spectrum transforms into a spectrum close to that of LMC, the main
degradation product. These spectra clearly show the usefulness of
a spectroscopic monitoring tool coupled to the LID cell. Following
the real-time change in the overall absorption spectrum may help to
decide when the time has come to transfer the content of the LCW to
the LC-DAD for analysis of the degradation products.
Conclusions
An integrated LCW-based LID system encompassing
automated liquid
handling, irradiation source and spectrograph was coupled successfully
to LC-DAD and tested for its analytical performance. As demonstrated
for RF, the total system allowed for quantitative unattended photodegradation
experiments over longer periods of time in a highly repeatable fashion
with RSDs for peak areas below 0.033. The in situ absorbance monitoring
of the content of the LCW during photodegradation also showed good
repeatability (RSDs of absorbance signals below 0.044). The in situ
recorded absorption spectrum is the resultant of contributions from
the remaining parent compound and formed degradation products. Since
the spectra and absorption coefficients of the latter are often not
known, the total absorbance signal should not be used for quantitative
analysis. Still, it is highly useful for monitoring the progress of
the degradation process in real-time. The light intensity inside the
LCW can be determined using actinometry (as we demonstrated earlier[12]), but can also be approximated with a power
meter behind the LCW exit. Coupling to the LC-DAD system permits separation
and relative quantification of the formed degradation products based
on their UV/vis response. Unambiguous identification of (unknown)
degradation products and potential elucidation of reaction pathways
requires the current system to be coupled to mass spectrometry, which
is the objective of a follow-up study in our lab. In a future project
we will study differences in photodegradation mechanisms or kinetics
under aerobic versus anaerobic conditions and how results obtained
in solution can help to elucidate photodegradation in solid materials
where different irradiation conditions and diffusion processes play
a role.The LOD of the in situ absorbance detection is relatively
low due
to the optical path length of 12 cm. This characteristic comes in
especially useful when degrading low analyte concentrations. Notably,
at lower concentrations the LCW also ensures that the whole sample
will be irradiated very efficiently and almost uniformly, resulting
in faster overall photodegradation. At high analyte concentrations
a large part of the incoming light may be absorbed within the first
section of the LCW, and the analyte molecules in the subsequent part
of the LCW will experience lower light intensities and therefore lower
degradation rates.Overall, this study demonstrates that with
the TooCOLD box coupled
to LC, reliable photodegradation studies can be simplified and very
well automated, shortening the operator’s time spent in the
lab significantly. The suitability of the system for studying relatively
low analyte concentrations seems especially relevant when only very
small samples are available or when an LC separation of a sample mixture
is performed prior to LID. Currently, we are studying the feasibility
and usefulness of a multidimensional LC-TooCOLD box-LC-DAD setup.
The first outcomes of this study are very promising and we believe
that integration of the LCW-based approach can transform the way photodegradation
studies are performed for a wide variety of analytes.
Authors: Annemieke Kolkman; Bram J Martijn; Dennis Vughs; Kirsten A Baken; Annemarie P van Wezel Journal: Environ Sci Technol Date: 2015-03-20 Impact factor: 9.028
Authors: Mimi J den Uijl; Yorn J H L van der Wijst; Iris Groeneveld; Peter J Schoenmakers; Bob W J Pirok; Maarten R van Bommel Journal: Anal Chem Date: 2022-07-29 Impact factor: 8.008