Angewandte
Communications
Chemie
specificity of OsO4 and m-CPBA oxidations, the two calibra-
tion curves are mirror images across a vertical line at 0.5
fraction of erythro diol. Thus, to generate a large enough
percentage of threo diols for a significant optical response, the
proper oxidant needs to be chosen based upon the stereo-
chemistry of the alkene.
We next developed a two-step protocol using two 96 well-
plates. We chose OsO4 as the oxidant and G2T/G2C and G3T/
G3C as the alkenes (10 and 30 mM respectively). After OsO4
oxidation, the wells of the reaction plate were quenched with
sodium bisulfite and the solutions transferred to and filtered
through silica containing 96-well fritted plates to purify the
Os-products from NaHSO3 other byproducts. The solvent was
removed using a Genevac, and the residues were re-dissolved
and transferred to the screening plate containing H and PV. A
blank sample that lacked only the presence of an alkene was
subjected to the protocol to serve as a control sample. The
control sample confirmed our procedures lacked an absorb-
ance representative of an alkene in the IDA. Furthermore, the
control verified our procedures properly removed byproducts
during the silica purification steps, showing the absence of
residual Os-products. The absorbance of each sample was
measured at 520 nm in a UV/Vis plate reader and could be
correlated to the percentage of trans alkene (Figure 3B) using
the calibration curve in Figure 3A (black line).
Figure 4. Colorimetric IDA preference. No dye: no inert dye was
added. Green Wilton food coloring: 25 mL of green dye was added.
Teal dye: 25 mL of each dye was added. H:PV host–indicator complex;
H:G’ is the host–threo diol complex; G represents the erythro diol.
However, upon addition of the threo diol (H:PV + G2TH)
the solutions turn from burnt red to yellow, orange to lime
green, and gray to bright green, respectively (Figure 4). The
different colorimetric responses were accomplished with no
additional synthesis and can be tuned to alter the appearance
of the IDA to best suit oneꢁs eye. Interestingly, for the authors,
most felt the teal background dye gave the most obvious
response to the erythro diol, but for others, different colors
were optimal.
In conclusion, we have reported the first optical approach
for determining the percentage of cis and trans alkenes that is
amenable to a high-throughput workflow. We successfully
used two synthetic techniques to dihydroxylate alkenes, with
opposite stereospecificity, in 96-well plates. The resulting
diastereomeric 1,2-diols were analyzed using an IDA via
UV/Vis spectroscopy in 96-well plates to determine the
percent of trans or cis alkene. We were successful at
determining the percentage of blind mixtures of alkenes, as
well as two reactions as unknowns, with an average error
consistently less than Æ 3%. Furthermore, we explored the
general utility of an IDA to impart different colors for the
alkenes with no additional synthetic effort. This study gives
chemists another tool to determine the percentage of cis and
trans alkenes—one that is amenable to a high-throughput
experimentation workflow because of the use of parallel
analysis in plates instead of the use of serial NMR spectros-
copy or chromatography.
Three “blind” mixtures of G2T/G2C, as well as syntheti-
cally derived mixtures of G2T/G2C from a Wittig and E2
reaction were analyzed. The blind mixtures were made by one
of the authors and analyzed by a different author without
prior knowledge of the percentage of G2T. The percentages
of G2T from the Wittig and E2 reaction mixtures were verified
via 1H NMR spectroscopy (Supporting Information). The
calibration curve predicted the G2T content in the unknowns
to be 20%, 77%, and 91% erythro diol, respectively (Fig-
ure 3C), with an average absolute error of Æ 2% from the
actual values. Additionally, the Wittig and E2 reaction
mixtures were predicted to have 19% and ꢀ 0% G2T.
1
When verified via H NMR spectroscopy the absolute error
for the reaction mixtures was Æ 3%. As further verification of
the two-step protocol, three blind mixtures of G3T and G3C
were generated and taken through the two-step protocol.
These were analyzed and determined to be 50%, 26%, and
79% G3T with an absolute error of Æ 2% from the actual
values (Figure 3C).
We also set out to change the visual color of the solutions
containing the host–indicator complex and the liberated free
indicator. This allows one to create several different sets of
color pairings that may be better suited for oneꢁs eye
(Figure 4) such that a quick inspection of the color would
indicate the predominate alkene stereochemistry within
a mixture. Mixing fluorescent indicators have previously
been found to optimize sensitivities to pH changes.[17] It is well
known that each human has a slightly different ability to
distinguish colors.[18] As shown in Figure 4, without an inert
food color dye the host–indicator complex (H:PV) is red.
Addition of a green dye (Wilton food colorings for cakes and
icings) makes the solutions orange and addition of a teal dye
gives a grey solution. Upon addition of an erythro diol
(H:PV + G2ER) the solutions retain their original colors.
Acknowledgements
We would like to thank the Brodbelt research group,
University of Texas at Austin, for inspiring our group to
tackle this challenge. For this project, S.A.V. was funded
primarily through the NSF Graduate Research Fellowship
Program: DGE-1610403. Additionally, we would like to
thank and recognize the University of Texas at Austinꢁs
Mass Spectrometry Facility for their help and the NMR
facilities for Bruker AVANCE III 500: NIH Grant Number
1 S10 OD021508-01. This project was primarily funded
through the NSF GOALI Grant Number: 1665040. Further-
more, E.V.A. recognizes support from the Welch Regents
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Angew. Chem. Int. Ed. 2021, 60, 1 – 6
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