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DOSY plus selective TOCSY: an efficient NMR combination for analyzing hydrogenation/hydrogenolysis mixtures of biomass-derived platform compounds Zexiang Lyu, Fen-e Gao, Lizhu Wen, Kemeng Shi, Minjun Ma, Chunju Li, Yingxiong Wang, and Yan Qiao Energy Fuels, Just Accepted Manuscript • DOI: 10.1021/acs.energyfuels.7b03992 • Publication Date (Web): 26 Feb 2018 Downloaded from http://pubs.acs.org on February 26, 2018
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DOSY plus selective TOCSY: an efficient NMR combination for analyzing hydrogenation/hydrogenolysis mixtures of biomass-derived platform compounds
5
Zexiang Lyu,ab Fen-e Gao,c Lizhu Wen,b Kemeng Shi,b Minjun Ma,b Chunju Li,a Yingxiong
6
Wang,*b Yan Qiao*b
7
a
8
Republic of China
9
b
1 2 3
Department of Chemistry, College of Science, Shanghai University, Shanghai 200444, People’s
State Key Laboratory of Coal Conversion, Institute of Coal Chemistry, Chinese Academy of
10
Sciences, 27 South Taoyuan Road, Taiyuan 030001, People's Republic of China
11
c
12
China
Institute of Theoretical Chemistry, Jilin University, Changchun 130023, People's Republic of
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ABSTRACT:
14
Analyzing the mixtures obtained from hydrogenation or hydrogenolysis reactions of
15
biomass-derived platform chemicals is a challenging work. With the development and
16
improvement of NMR techniques, the NMR spectrometer proves to be an alternative and
17
highly efficient equipment for the rapid analysis of complex mixtures without the need for
18
tedious purification. Herein, diffusion-ordered spectroscopy (DOSY) is applied in analyzing
19
four
20
hydrogenation/hydrogenolysis reactions of biomass-derived platform chemicals. The results
21
show that the DOSY technique can pseudo separated most components in the model mixtures.
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1D selective gradient TOCSY technique is used as a supporting tool in the cases where the
23
DOSY technique cannot provide a clear distinguish between the components of the mixtures.
24
This is generally a problem when components in the mixture have very similar diffusion
25
coefficients or severe overlap of peaks. The results show that DOSY and 1D selective gradient
26
TOCSY techniques is a strong combination for complex mixture analyses.
27
model
mixtures,
which
consist
of
the
reactants
and
products
from
1. INTRODUCTION
28
Biomass is a widely available and economical renewable resource, which has become
29
increasingly more attractive for decades.1 Conversion of biomass and biomass-derived platform
30
chemicals into valuable added chemicals and fuels is considered as one of the most promising
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ways to out phase the fossil energy and solve the environment crisis.2 However, there are several 2
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significant issues, which should be concerned before developing these biomass-derived platform
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compounds.3 Commonly, an overabundance of oxygen atoms in structure of biomass molecules
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results in high boiling points, low energy-density and undesired reactivity of many biomass
35
derived platform compounds, which render them unappealing as liquid fuel.4 Therefore,
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processes of removing oxygen are necessary. To do this, numerous kinds of reactions, including
37
dehydration,5 hydrogenation,6 decarbonylation/decarboxylation7 and C-O hydrogenolysis8, are
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employed. Among these reactions, catalytic hydrogenation and hydrogenolysis are two of the
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most attractive methods.9,
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biomass-derived platform compounds are already widely used, the development is hampered by
41
the tedious and challenging analytical methods.
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Although the hydrogenation/hydrogenolysis reactions of
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Gas chromatography (GC) and high-performance liquid chromatography (HPLC) are two of
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the analytical methods used to analyze mixtures.11 Most of the reaction mixtures obtained from
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hydrogenation/hydrogenolysis processes of biomass-derived platform compounds can be
45
analyzed qualitatively and quantitatively by GC and HPLC. However, these two methods are
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insufficient and unreliable as the reaction mixtures from the hydrogenation/hydrogenolysis
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reactions contain components with low volatility, high reactivity, low thermal stability and even
48
similar polarity. For example, a sample analyzed with GC commonly needs derivatization by e.g.
49
silylation. Although HPLC could avoid derivatization by adjusting the polarity of mobile phases,
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it is often not sufficient, which is especially the case when new peaks are found in the
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chromatograph. Moreover, both GC and HPLC cannot provide detailed structural information of
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byproducts. Therefore, developing an alternative analysis method taking advantage of other 3
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analytical equipment is highly desired.
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Nuclear magnetic resonance (NMR) spectroscopy is an outstanding analytical tool for
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characterization the structure of organic compounds including biomass-derived molecules.12, 13
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With the development of NMR techniques, both pure compounds and mixtures can be
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characterized efficiently. Recently, diffusion-ordered spectroscopy (DOSY) has been introduced
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into various systems and shown its power in mixture analysis.14, 15 In this technique, the diffusion
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coefficient (D) of a certain compound in diluted solution follows the Stokes-Einstein equation:16
=ܦ
݇ܶ 6ߨߟݎ௦
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in which k is the Boltzmann constant, T is the temperature, η is the viscosity of the liquid, and rs
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is the hydrodynamic radius of the molecule. The diffusion coefficients of each signal in a
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spectrum can be calculated by conducting a series of pulsed field gradient (PFG) experiments.17,
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18
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mixture can be assigned quickly in diffusion dimension.19, 20 Our research group had successfully
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applied this technique in lignocellulosic biomass biorefinery systems, and several model as well
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as genuine reaction mixtures of sucrose and glucose dehydration reaction have been studied.21
With a pseudo two-dimensional spectrum generated, signals of the different components in
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However, DOSY NMR may give misleading signals when having compounds with
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overlapped peaks in a relative narrow range of the 1H DOSY spectrum. In addition, DOSY NMR
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has its limitations when resolving compounds with very similar or even identical diffusion 4
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coefficients. To solve these issues, matrix-assisted DOSY has developed. In this method,
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chromatographic supports, surfactants, polymers or other matrices are added and the resolution
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of signals in the diffusion dimension can thereby be improved dramatically.
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our studies, 1D selective gradient total correlation spectroscopy (TOCSY) is also found to be a
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powerful method, which complement the DOSY technique.25 A sub-spectrum of the components
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in the mixture can be extracted from the spectrum of the highly complex mixture if the mixing
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time (a key parameter in 1D selective gradient TOCSY experiment) is suitable to transfer the
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magnetization to all nuclei of the same spin system.26, 27 It is technique is adequate for analyzing
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biomass-derived platform compounds of hydrogenation/hydrogenolysis reaction because these
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molecules generally contain complete proton spin systems.28 Therefore, 1D selective gradient
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TOCSY can be used in combination with the DOSY technique to identify the overlapped signals.
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In
this
paper,
four
representative
model
mixtures,
22-24
which
As reported in
simulate
the
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hydrogenation/hydrogenolysis reactions of biomass-derived platform compounds, were chosen
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and studied by 1H diffusion-ordered NMR spectroscopy. The diffusion processes of each sample
84
are discussed below. Considering some of the components in the sample may have overlapped
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signals, which would complicate the identification of the constituents in the mixture, 1D
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selective gradient TOCSY was applied for further detection. This combination of NMR
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techniques
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hydrogenation/hydrogenolysis reactions of the biomass-derived platform compounds.
will
contribute
to
the
analysis
of
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obtained
from
the
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2. EXPERIMENTAL SECTION
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2.1. Chemicals
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Phenol (analytical grade, 99.5%), cyclohexanol (analytical grade, 99%), cyclohexanone
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(analytical grade, 99.5%), cyclohexene (analytical grade, 99.7%), cyclohexane (analytical grade,
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99.5%), dimethyl oxalate (DMO, analytical grade, 99%), furfural (FAL, analytical grade, 99%),
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furfural
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2-methyltetrahydrofuran (2-MTHF, 99.5%) were obtained from Aladdin Reagent Company
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(Shanghai).
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2,5-dihydroxymethylfuran (DHMF, 95%), 2,5-bishydroxymethyl tetrahydrofuran (DHMTHF,
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95%),
99
2,5-dimethylfuran (DMF, 99%), 2,5-dimethyltetrahydrofuran (DMTHF, 95%), dimethyl
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sulfoxide-d6 (DMSO-d6, 99.8 atom% D) and deuterium oxide (D2O, 99.8 atom% D) were
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purchased from J&K Scientific Ltd. Ethylene glycol (EG, analytical grade, 99%) and anhydrous
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ethanol (analytical grade, 99%) were supplied by Tianli Chemical Reagent Co., Ltd. All
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chemicals were used without further purification.
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2.2. NMR experiments
alcohol
(FOL,
Methyl
5-methyl
analytical
glycolate
furfural
grade,
(MG,
(5-MF,
98%),
98%),
98%),
2-methylfuran
(2-MF,
5-hydroxymethylfurfural
5-methyl
furfurylalcohol
98%)
(5-HMF,
(5-MFA,
and
99%),
97%),
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All experiments were conducted on a Bruker AV-III 400 MHz NMR spectrometer (9.39 T)
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equipped with a 5 mm PABBO BB/19F-1H/D probe with z gradient coil producing a maximum 6
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gradient strength of 0.50 T·m-1. The calibrations of temperature and gradient strength were
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performed before the NMR experiments according to the manual of Bruker. The temperature
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calibration was performed with 4% CH3OH in CD3OD for the lower temperature range
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(181.2-300 K) and 80% ethylene glycol in DMSO-d6 for higher temperatures (300-380K). The
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instruction of temperature calibration in Topspin 3.1 software is “calctemp”. The “doped water
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(GdCl3 in D2O)” was used in the gradient strength calibration. The AU program dosy was used to
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calculate and store the absolute gradient strength values. All the experiments were conducted at
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298 K and at a gas flow rate of 400 lph without sample spinning. 1H NMR was obtained at
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frequencies of 400.13 MHz. The Bruker standard bipolar pulse longitudinal eddy current delay
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(BPPLED) pulse sequence was used for the DOSY measurements. Each DOSY NMR
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experiment collected 16 BPPLED spectra with 32K data points. Diffusion time (∆) was set at
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100 ms. The duration of the pulse field gradient (δ/2) was adjusted between 600 to 800 µs to
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acquire 2%~5% residual signal with the maximum gradient strength. The delay for gradient
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recovery was 0.2 ms and the eddy current delay was 5 ms. The gradient strength was
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incremented in 16 steps from 2% to 95% of its maximum value in a linear ramp. The data was
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processed with Bruker Topspin 3.1 software, and the DOSY plots were obtained by Dynamics
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Center 2.2.4 software.
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1D selective gradient TOCSY experiments were performed using a pulse sequence named
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SELMLGP in Bruker Topspin 3.1, which consists of recycling delay, a radio-frequency pulse 7
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and a MLEV17 sequence for mixing and acquisition time. The spectra of the 1D selective
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gradient TOCSY experiments were collected by varying the mixing time between 80 to 150 ms.
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2.3. Computational details
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Calculations have been performed using the B3LYP29-32 density functional method as
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implemented in the Gaussian0933 program package. Geometries were optimized using the
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6-311+g (d,p) all-electron basis set. Frequencies were calculated at the same level as the
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geometry optimization to ensure that the stationary points found were in fact minima (no
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imaginary frequency was found) on the potential energy surfaces. Solvation effects were also
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calculated as single points at the same level as the geometry optimization with the CPCM
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method.34,
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DHMTHF since it is the solvent used in the experiments.
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2.4. Model mixtures for analysis
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The parameter of DMSO was used to optimize the structure of DHMF and
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Four representative hydrogenation/hydrogenolysis reaction mixtures (Scheme 1) containing
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biomass-derived platform chemicals were detected. First, two mixtures consisting of the reactant
140
and the products of 5-HMF hydrogenation/hydrogenolysis reactions, were analyzed (Scheme 1a).
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5-HMF, an important platform chemical obtained from renewable biomass resources, can
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generate various useful products through hydrogenation/hydrogenolysis since it contains many
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functional groups such as C=O, C-O, C=C and a furan ring.36-38 At lower temperatures, 8
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hydrogenation of C=C bond of 5-HMF is the dominating process. DHMTHF is obtained as the
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product via hydrogenation and DHMF as an intermediate compound. Furanic fuels, such as DMF
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and DMTHF, are obtained through hydrogenolysis at higher temperatures. Secondly, a furfural
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hydrogenation/hydrogenolysis model mixture was prepared. Furfural is a promising
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lignocellulosic material containing C=C and C=O functional groups. It can be converted into
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special oxygen-containing chemicals through the hydrogenation of the C=C groups from the
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furan rings, or the hydrogenation and hydrogenolysis of C=O group.39 Herein, a representative
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reaction mixture of furfural is analyzed. The model mixture contained four compounds including
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FAL as the reactant, FOL, 2-MF and 2-MTHF as the products (Scheme 1b).40 The third biomass
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system studied is phenolic bio-oil, which can be converted into valuable chemicals such as
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saturated naphthene.41,42 Phenol hydrogenation was selected and analyzed as a representative
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reaction (Scheme 1c). The routes consists of four steps and can produce cyclohexanone,
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cyclohexanol, cyclohexene and cyclohexane.43 The sample simulating the conversion of DMO to
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ethanol is the last model mixture (Scheme 1d).44 This process is a cascade reaction including the
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stepwise hydrogenation of ester groups to ethylene glycol and the following hydrogenolysis of
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C-O bonds to ethanol.45. Mixtures containing DMO, methyl glycolate, EG and ethanol were
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analyzed by DOSY technique. The 1H NMR spectra of these mixtures are shown in Figures
161
S1-S5.
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Scheme 1. The hydrogenation/hydrogenolysis reaction routes of selected biomass-derived
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platform molecules. 10
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3. RESULTS AND DISCUSSION
As described in the above section, the hydrogenation of 5-HMF can be done at higher
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temperatures or at lower temperatures (Scheme 1a), with different final products, i.e.
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and DHMTHF respectively.36, 37 Mixtures composed of the reactant and products of these two
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reaction paths were prepared and analyzed by 1 DOSY technique separately. The compounds in
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the model mixture are separated well in the diffusion dimension (Figure 1a and 1b). Although the
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molecular weight of DHMF and DHMTHF is similar, the DOSY signal of them can clearly be
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distinguished (Figure 1a). Surprisingly, in spite of the molecular weight of DHMTHF being
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bigger than DHMF, the diffusion coefficient of DHMTHF (MWDHMTHF = 132, DDHMTHF =
174
3.123×10-9 m2/s) is a little bigger than DHMF (MWDHMF = 128, DDHMF = 3.038×10-9 m2/s),
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which means that DHMTHF diffuses faster than DHMF in DMSO-d6. Figure 1b displays the
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DOSY spectrum of the 5-HMF hydrogenolysis route at higher temperature. The signals of
177
5-HMF, DHMF and 5-MFA in the mixture are separated well in the diffusion dimension.
178
However, the signals of DMF and DMTHF cannot be distinguished clearly due to their similar
179
diffusion coefficients (DDMF = 5.685×10-10 m2/s, DDMTHF = 5.571×10-10 m2/s), i.e. a further
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discrimination by 1D selective gradient TOCSY is required. Both DMF and DMTHF have
181
structures with coherent five-membered rings, so they are suitable for 1D selective gradient
182
TOCSY experiment. The peaks at 1.12 ppm and 2.20 ppm were selected to excite, and the 1D
183
selective gradient TOCSY spectra of DMTHF and DMF were obtained (Figure 1c). It is obvious 11
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DMTHF
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that the excited signals of DMF and DMTHF are according to their standard 1H NMR spectra,
185
which further confirm the presence of DMF and DMTHF. The signals at 2.50 ppm and 3.30 ppm
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in the 1H NMR spectra belong to DMSO and water respectively. They are not observed in the
187
corresponding 1D selective gradient TOCSY spectra.
188
According to Stokes-Einstein equation, a reason for the diffusion coefficient of DHMTHF
189
being bigger than the one obtained for DHMF could be due to the different hydrodynamic radius
190
of these two molecules. Although both of DHMTHF and DHMF have two hydroxyl groups,
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DHMF has C=C bonds, which DHMTHF does not contain. It is reasonable to deduce that the
192
rigid structure of DHMF hinders its two hydroxyl groups to form intramolecular hydrogen bonds,
193
whereas DHMTHF shows the ability to constitute intramolecular hydrogen bonds, resulting in a
194
smaller hydrodynamic radius of DHMTHF. The diffusion coefficient is inversely proportional to
195
the hydrodynamic radius of the molecule as described by Stokes-Einstein equation.46 Therefore,
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the bigger the hydrodynamic is, the smaller diffusion coefficient the molecule show. In addition,
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the existence of intramolecular hydrogen bonds makes the DHMTHF molecule less polar
198
compared with DHMF, which results in a poorer interaction with the solvent (DMSO-d6) and
199
hence a faster diffusion. DFT calculations have additional been employed to support this
200
rationalization about the intramolecular hydrogen bonds in DHMF and DHMTHF (Figure 1d).
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After the optimization, the calculated hydrogen bond distance of DHMTHF is 1.915 Å. The
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calculation on the distance of hydroxyl groups in DHMF did not give any result, which indicates 12
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that DHMF cannot form intramolecular hydrogen bonds. The computational results are in
204
agreement and support our results obtained by DOSY spectroscopy well.
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Interestingly, an unknown signal marked with a pink circle (δ= 5.18 ppm) appeared in the
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mid of the DOSY spectrum (Figure 1b), it is proposed that it belongs to the signals of hydroxyl
207
groups, according to litterature.47 Further support of this was made through adding a drop of
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deuterated water in the mixture sample followed by conducting a 1H NMR experiment. The
209
signals diminished (Figure S6) due to the exchange of H and D atoms, which indicates that they
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are indeed hydroxyl groups. In Figure 1a, the signals of hydroxyl groups are not shown because
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the intensity of these peaks are too small, being below the threshold of peak picking when
212
processing the DOSY data.
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214
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216 217
Figure 1. The 1H DOSY spectra of 5-HMF hydrogenation/hydrogenolysis by the two routes (a, 15
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b), the sub-spectrum of 1D selective gradient TOCSY (c), and the optimized structure of DHMF
219
and DHMTHF (d). DMSO-d6 is the solvent, and the experiment was performed at 298 K. In
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Figure 1d, red balls are oxygen atoms, gray balls are carbon atoms and white balls are hydrogen
221
atoms.
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Secondly, a usual reaction mixture of furfural hydrogenation, consisting of FAL, FOL,
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2-MF and 2-MTHF, was analyzed by 1H DOSY technique (Figure 2a). The components in the
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mixture were distributed well in the diffusion dimension according to their molecular weights.
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FOL (MWFOL = 98, DFOL = 4.678×10-9 m2/s) diffused slowest due to its biggest molecular weight.
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FAL (MWFAL = 96, DFAL = 6.014×10-9 m2/s) diffused slightly faster than FOL. Even though the
227
molecular weights of FAL and FOL are very close, the DOSY technique can directly distinguish
228
between them because FOL has a hydroxyl group and interact stronger with the solvent
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DMSO-d6.48 2-MF (MW2-MF = 82, D2-MF = 7.057×10-9 m2/s) has a larger diffusion coefficient
230
because the molecular weight of 2-MF is smaller than 2-MTHF (MW2-MTHF = 86, D2-MTHF =
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6.931×10-9 m2/s). In praxis, it is difficult to assign the signals of 2-MF and 2-MTHF if only
232
based on the DOSY spectrum, since their diffusion coefficients are to close. So 1D selective
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gradient TOCSY experiments were applied to distinguish between 2-MF and 2-MTHF. The
234
peaks between 1.10 and 1.14 ppm and the peak at 2.24 ppm were selectively excited. Resonances
235
of 2-MF and 2-MTHF appeared in the corresponding sub-spectra (Figure 2b). The signal at 2.50
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ppm and 3.33 ppm in the 1H NMR spectra of 2-MF and 2-MTHF belong to DMSO and H2O. 16
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238 239
Figure 2. The 1H DOSY spectrum of furfural hydrogenation/hydrogenolysis mixture (a) and the 17
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1D selective gradient TOCSY sub-spectra of 2-MF and 2-MTHF (b), DMSO-d6 as the solvent.
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The temperature was 298 K. The lightning in panel (b) label the peaks excited in 2-MF and
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2-MTHF.
243
Figure 3a is the 1H DOSY spectrum of the phenol hydrogenation reaction mixture in
244
DMSO-d6. The five components are separated well in the diffusion dimension. From the top to
245
bottom, the signals are assigned to phenol (MWphenol = 94, Dphenol = 4.714×10-10 m2/s),
246
cyclohexanol (MWcyclohexanol = 100, Dcyclohexanol = 5.178×10-10 m2/s), cyclohexanone
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(MWcyclohexanone = 98, Dcyclohexanone = 6.439×10-10 m2/s), cyclohexane (MWcyclohexane = 84,
248
Dcyclohexane = 6.905×10-10 m2/s) and cyclohexene (MWcyclohexene = 82, Dcyclohexene = 7.140×10-9
249
m2/s). Phenol and cyclohexanol diffused slowest because they both have relative higher
250
molecular weights as well as hydroxyl groups in structure. The hydrogen bonds between solvent
251
DMSO-d6 and these two analytes make them have a smaller diffusion coefficient.48 The
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molecular weight of cyclohexanol is bigger than phenol, while it diffused faster than phenol,
253
probably because the interaction between phenol and DMSO-d6 is stronger than cyclohexanol.
254
The acidity of phenol is stronger than cyclohexanol, and makes the hydrogen bonding between
255
the phenol and the oxygen atom in DMSO-d6 stronger.49
256
The signals between 1.40 ppm and 1.95 ppm of cyclohexanol and cyclohexanone in 1H
257
DOSY spectrum are overlapped (Figure 3a, circled in a red frame). The severe overlaps generate
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misleading signals in the DOSY spectrum and hence confuse the assignment of signals. Indeed,
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it is well known that the measured diffusion coefficient, of compounds with overlapping signals,
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results in a weighted average of those overlapped protons.50 In order to further demonstrate the
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existence of cyclohexanol and cyclohexanone in mixture, 1D selective gradient TOCSY
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experiment was again employed, and the corresponding sub-spectra are shown in Figure 3b. The
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1D selective gradient TOCSY sub-spectra of cyclohexanol and cyclohexanone are the same as
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their standard 1H NMR spectra. Notably, the signal of the hydroxyl group (δ= 4.41 ppm, Figure
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3b) in cyclohexanol can also be observed in the sub-spectrum of cyclohexanol. The signal at 2.50
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ppm and 3.33 ppm in the 1H NMR spectra of cyclohexanol and cyclohexanone belong to DMSO
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and H2O.
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Figure 3. The 1H DOSY spectrum of phenol hydrogenation/hydrogenolysis mixture (a), and the
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1D selective gradient TOCSY sub-spectra of cyclohexanone and cyclohexanol (b), DMSO-d6 as
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the solvent. The selected peaks of cyclohexanone and cyclohexanol are pointed with lightning.
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The experiment temperature is 298 K.
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Finally, the reactant and products of the DMO hydrogenolysis reaction were analyzed.
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Notably, this mixture cannot be separated well using DMSO-d6 (Figure S7a) or CDCl3 as the
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solvents (Figure S7b). In DMSO-d6, EG (MWEG = 62, DEG = 5.044×10-10 m2/s) and MG (DMG =
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5.202×10-10 m2/s, MWMG = 90) have similar diffusion coefficient and hence cannot be separated
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in the diffusion dimension. In CDCl3, these five compounds diffused in the following sequence
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(from the slowest to fastest): EG (MWEG = 62, DEG = 1.614×10-9 m2/s), DMO (MWDMO = 118,
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DDMO = 1.672×10-9 m2/s,), MG (MWMG = 90, DMG = 1.801×10-9 m2/s) and ethanol (MWethanol =
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46, Dethanol = 2.235×10-9 m2/s). However, signals of ethanol are not in the same diffusion
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dimension because the signal at 3.63 ppm partially overlap with the signal of EG. The signal of
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the hydroxyl group at 2.68 ppm does also disturb the assignment. When the solvent was changed
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from DMSO-d6 or CDCl3 to methanol-d4, a well separated DOSY spectrum for DMO
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hydrogenation mixture was obtained (Figure 4). Four substances are displayed in the diffusion
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dimension in the following order: EG (DEG = 1.435×10-9 m2/s, MWEG = 62), MG (DDMO =
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1.625×10-9 m2/s, MWDMO = 90), ethanol (Dethanol = 1.748×10-9 m2/s, MWethanol = 46) and DMO
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(DDMO = 1.825×10-9 m2/s, MWDMO = 118). The diffusion coefficients of these components do not
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have a simple relation to their molecular weights. For instance, EG possesses a small molecular
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weight (MWEG = 62), while it diffused slowest. DMO possesses a bigger molecular weight
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(MWDMO = 90), but it diffused fastest.
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The reasons for the pseudo separation in a DOSY plot are multifarious besides the
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molecular weight, such as size, shape, binding phenomena, and molecular interactions of the
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observed species contributes.50 As reported, methanol-d4 is more suitable as solvent than
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DMSO-d6 or CDCl3 for molecules with different numbers of hydroxyl groups,25 because
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methanol-d4 is a protic solvent and hence accepts and donates hydrogen bonds.51,
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solvation intensities between the solutes and methanol-d4 are the main reason for the 21
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pseudo-separation in DOSY spectrum. Although the molecular weight of DMO is the biggest,
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EG, MG, and ethanol diffuse slower than DMO in methanol-d4 because they contain a diverse
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number of hydroxyl groups and form stronger hydrogen bonds with methanol-d4.53 EG has two
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hydroxyl groups and diffuses slowest. Both MG and ethanol contain one hydroxyl group in their
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structures, but MG possesses a bigger molecular weight, so it diffuses slower than ethanol.
303 The
1
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Figure
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hydrogenation/hydrogenolysis mixture. The experiment temperature is 298 K.
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4. CONCLUSIONS
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4.
H
DOSY
spectrum
(methanol-d4
as
the
solvent)
of
DMO
Several model mixtures, which consisted of the reactant and products of the 22
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hydrogenation/hydrogenolysis reactions of biomass-derived platform compounds, are pseudo
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separated by DOSY technique. The results indicated that DOSY is a suitable method for
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analyzing most of these mixtures without any pre-treatment or purification required. In general,
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the differences in molecular weights of the components in mixtures dominate the pseudo
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separation in the diffusion dimension. The structure of molecules as well as hydrogen bonding
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play an important role for enhancing the diffusion resolution. When the signals overlap in the
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plots, or the compounds in mixture have similar diffusion coefficients, the 1D selective gradient
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TOCSY is an additional tool for further identification. With the continuous refinement of the
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advanced NMR techniques, NMR is becoming an optional method for mixture analysis.
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AUTHOR INFORMATION
318
Corresponding Author
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*E-mail:
[email protected];
[email protected] 320
Notes
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The authors declare no competing financial interest.
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ACKNOWLEDGEMENTS
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The authors thank for National Natural Science Foundation of China (U1710106) and the
324
Key Research and Development Program of Shanxi Province (international cooperation) 23
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(201703D421041) for financial support. We thank Christian Marcus Pedersen for help with
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preparing the manuscript.
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ABBREVIATIONS
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NMR, nuclear magnetic resonance; DOSY, diffusion-ordered spectroscopy; TOCSY, total
329
correlation spectroscopy; GC, Gas chromatography; HPLC, high-performance liquid
330
chromatography;
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5-hydroxymethylfurfural; DHMF, 2,5-dihydroxymethylfuran; DHMTHF, 2,5-bishydroxymethyl
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tetrahydrofuran;
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2,5-dimethylfuran; DMTHF, 2,5-dimethyltetrahydrofuran; FAL, furfural; FOL, furfural alcohol;
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2-MF, 2-methylfuran;2-MTHF, 2-methyltetrahydrofuran; DMSO-d6, dimethyl sulfoxide-d6;
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D2O, deuterium oxide; EG, Ethylene glycol; MG, Methyl glycolate; BPPLED, bipolar pulse
336
longitudinal eddy current delay.
PFG,
5-MF,
pulsed
field
5-methyl
gradient;
furfural;
DMO,
5-MFA,
dimethyl
5-methyl
337
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oxalate;
furfurylalcohol;
5-HMF,
DMF,
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REFERENCES
339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374
(1) Maity, S. K. Opportunities, recent trends and challenges of integrated biorefinery: Part I. Renew. Sust. Energ. Rev. 2015, 43, 1427-1445. (2) Ohara, H. Biorefinery. Appl. Microbiol. Biot. 2003, 62, (5-6), 474-477. (3) Bozell, J. J.; Petersen, G. R. Technology development for the production of biobased products from biorefinery carbohydrates—the US Department of Energy’s “Top 10” revisited. Green Chem. 2010, 12, (4), 539-544. (4) Serrano-Ruiz, J. C.; Luque, R.; Sepulveda-Escribano, A. Transformations of biomass-derived platform molecules: from high added-value chemicals to fuels via aqueous-phase processing. Chem. Soc. Rev. 2011, 40, (11), 5266-5281. (5) Qi, X.; Watanabe, M.; Aida, T. M.; Smith, J. R. L. Catalytic dehydration of fructose into 5-hydroxymethylfurfural by ion-exchange resin in mixed-aqueous system by microwave heating. Green Chem. 2008, 10, (7), 799-805. (6) Feng, J.; Yang, Z.; Hse, C.-y.; Su, Q.; Wang, K.; Jiang, J.; Xu, J. In situ catalytic hydrogenation of model compounds and biomass-derived phenolic compounds for bio-oil upgrading. Renew. Energ. 2017, 105, 140-148. (7) van Putten, R. J.; van der Waal, J. C.; de Jong, E.; Rasrendra, C. B.; Heeres, H. J.; de Vries, J. G. Hydroxymethylfurfural, a versatile platform chemical made from renewable resources. Chem. Rev. 2013, 113, (3), 1499-1597. (8) Sepúlveda, C.; Delgado, L.; García, R.; Melendrez, M.; Fierro, J. L. G.; Ghampson, I. T.; Escalona, N. Effect of phosphorus on the activity of Cu/SiO2 catalysts in the hydrogenolysis of glycerol. Catal. Today 2017, 279, 217-223. (9) Lazaridis, P. A.; Karakoulia, S.; Delimitis, A.; Coman, S. M.; Parvulescu, V. I.; Triantafyllidis, K. S. d-Glucose hydrogenation/hydrogenolysis reactions on noble metal (Ru, Pt)/activated carbon supported catalysts. Catal. Today 2015, 257, 281-290. (10) Liu, H.; Jiang, T.; Han, B.; Liang, S.; Zhou, Y. Selective phenol hydrogenation to cyclohexanone over a dual supported Pd-Lewis acid catalyst. China Basic. Sci. 2010, 326, (5957), 1250-1252. (11) Liu, C.; Zhang, C.; Hao, S.; Sun, S.; Liu, K.; Xu, J.; Zhu, Y.; Li, Y. WO x modified Cu/Al 2 O 3 as a high-performance catalyst for the hydrogenolysis of glucose to 1,2-propanediol. Catal. Today 2016, 261, 116-127. (12) Yue, F.; Marcus Pedersen, C.; Yan, X.; Liu, Y.; Xiang, D.; Ning, C.; Wang, Y.; Qiao, Y. NMR Studies of Stock Process Water and Reaction Pathways in Hydrothermal Carbonization of Furfural Residue. Green Energy. Environ. 2017, http://dx.doi.org/10.1016/j.gee.2017.1008.1006. (13) Breton, R. C.; Reynolds, W. F. Using NMR to identify and characterize natural products. Nat. Prod. Rep. 2013, 30, (4), 501-524. (14) Novoa-Carballal, R.; Fernandez-Megia, E.; Jimenez, C.; Riguera, R. NMR methods for 25
ACS Paragon Plus Environment
Energy & Fuels 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60
375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412
unravelling the spectra of complex mixtures. Nat. Prod. Rep. 2011, 28, (1), 78-98. (15) Zhang, F.; Yu, H. NMR Analysis of By-Products in Imidacloprid Production. Chinese J. Magn. Reson. 2014, 31, (3), 364-371. (16) Li, D.; Kagan, G.; Hopson, R.; Williard, P. G. Formula Weight Prediction by Internal Reference Diffusion-Ordered NMR Spectroscopy (DOSY). J. Am. Chem. Soc. 2009, 131, (15), 5627-5634. (17) Antalek, B. Using pulsed gradient spin echo NMR for chemical mixture analysis: How to obtain optimum results. Concept. Magnetic. Res. 2002, 14, (4), 225-258. (18) Johnson, C. S. Diffusion ordered nuclear magnetic resonance spectroscopy: principles and applications. Prog. Nucl. Mag. Res. Sp 1999, 34, (3-4), 203-256. (19) He, B.; Xu, X.; Yang, W.; Zhang, W.; Wu, R.; Huang, S.; Yang, Y.; Bai, Z. Progresses in Matrixed Chromatographic NMR. Chinese J. Magn. Reson. 2015, 32, (4), 699-706. (20) Wang, L.; Yang, Y.; Yang, H.; Qiu, R.; Huang, S. Direct analysis of succinic acid fermentation broth by 1H diffusion-ordered NMR spectroscopy and quantitative 1h NMR technique. ACS Sustain. Chem. & Eng. 2017, 5, (4), 2824-2828. (21) Ge, W.; Zhang, J. H.; Pedersen, C. M.; Zhao, T.; Yue, F.; Chen, C.; Wang, P.; Wang, Y.; Qiao, Y. DOSY NMR: A Versatile Analytical Chromatographic Tool for Lignocellulosic Biomass Conversion. ACS Sustain. Chem. & Eng. 2016, 4, (3), 1193-1200. (22) Hoffman, R. E.; Arzuan, H.; Pemberton, C.; Aserin, A.; Garti, N. High-resolution NMR "chromatography" using a liquids spectrometer. J. Magn. Reson. 2008, 194, (2), 295-299. (23) Tormena, C. F.; Evans, R.; Haiber, S.; Nilsson, M.; Morris, G. A. Matrix-assisted diffusion-ordered spectroscopy: mixture resolution by NMR using SDS micelles. Magn. Reson. Chem. 2010, 48, (7), 550-553. (24) Huang, S.; Gao, J.; Wu, R.; Li, S.; Bai, Z. Polydimethylsiloxane: a general matrix for high-performance chromatographic NMR spectroscopy. Angew Chem. Int. Ed. Engl. 2014, 53, (43), 11592-11595. (25) Lyu, Z. X., Fen, Y., Yan, X. Y., Shan, J. F., Xiang D. L., Pedersen, C. M., Li, C. J., Wang, Y. X., Qiao, Y. Combination of DOSY and 1D selective gradient TOCSY: Versatile NMR tools for identify the mixtures from glycerol hydrogenolysis reaction. Fuel Process. Technol. 2018, 171, 117-123. (26) Xu, G. Z.; Evans, J. S. The application of ''excitation sculpting'' in the construction of selective one-dimensional homonuclear coherence-transfer experiments. J. Magn. Reson, Ser. B 1996, 111, (2), 183-185. (27) Facke, T.; Berger, S. Application of pulsed-field gradients in an improved selective TOCSY experiment. J. Magn. Reson. Ser. A 1995, 113, (2), 257-259. (28) Gil, S.; Espinosa, J. F.; Parella, T. Selective 1D HCH experiment: a fast NMR tool that connect protons belonging to different spin systems. Magn. Reson. Chem. 2011, 49, (6), 301-306. (29) Becke, A. D. Density‐functional thermochemistry. III. The role of exact exchange. J. 26
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Page 26 of 29
Page 27 of 29 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60
413 414 415 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431 432 433 434 435 436 437 438 439 440 441 442 443 444 445 446 447 448 449 450
Energy & Fuels
Chem. Phys. 1993, 98, (7), 5648-5652. (30) Becke, A. D. Density-functional exchange-energy approximation with correct asymptotic behavior. Phys. Rev. A 1988, 38, (38), 3098-3100. (31) Vosko, S. H.; Wilk, L.; Nusair, M. Accurate spin-dependent electron liquid correlation energies for local spin-density calculations - a critical analysis. Can. J. Phys. 1980, 58, (8), 1200-1211. (32) C, L.; W, Y.; RG, P. Development of the Colle-Salvetti correlation-energy formula into a functional of the electron density. Physical review. B, Condensed matter 1988, 37, (2), 785-789. (33) Gaussian 09, Revision E.01, M. J. Frisch, G. W. Trucks, H. B. Schlegel, G. E. Scuseria, M. A. Robb, J. R. Cheeseman, G. Scalmani, V. Barone, B. Mennucci, G. A. Petersson, H. Nakatsuji, M. Caricato, X. Li, H. P. Hratchian, A. F. Izmaylov, J. Bloino, G. Zheng, J. L. Sonnenberg, M. Hada, M. Ehara, K. Toyota, R. Fukuda, J. Hasegawa, M. Ishida, T. Nakajima, Y. Honda, O. Kitao, H. Nakai, T. Vreven, J. A. Montgomery, Jr., J. E. Peralta, F. Ogliaro, M. Bearpark, J. J. Heyd, E. Brothers, K. N. Kudin, V. N. Staroverov, R. Kobayashi, J. Normand, K. Raghavachari, A. Rendell, J. C. Burant, S. S. Iyengar, J. Tomasi, M. Cossi, N. Rega, J. M. Millam, M. Klene, J. E. Knox, J. B. Cross, V. Bakken, C. Adamo, J. Jaramillo, R. Gomperts, R. E. Stratmann, O. Yazyev, A. J. Austin, R. Cammi, C. Pomelli, J. W. Ochterski, R. L. Martin, K. Morokuma, V. G. Zakrzewski, G. A. Voth, P. Salvador, J. J. Dannenberg, S. Dapprich, A. D. Daniels, Ö. Farkas, J. B. Foresman, J. V. Ortiz, J. Cioslowski, and D. J. Fox. Gaussian, Inc., Wallingford CT, 2009. (34) Fus, N. Quantum calculation of molecular energies and energy gradients in solution by a conductor solvent model. J. Phys. Chem. A 1998, 102, (11), 1995-2001. (35) Cossi, M.; Rega, N.; Scalmani, G.; Barone, V. Energies, structures, and electronic properties of molecules in solution with the C‐PCM solvation model. J. Comput. Chem. 2003, 24, (6), 669-681. (36) Kong, X.; Zhu, Y.; Zheng, H.; Li, X.; Zhu, Y.; Li, Y.-W. Ni nanoparticles inlaid nickel phyllosilicate as a metal–acid bifunctional catalyst for low-temperature hydrogenolysis reactions. ACS Catal. 2015, 5, (10), 5914-5920. (37) Zhu, Y.; Kong, X.; Zheng, H.; Ding, G.; Zhu, Y.; Li, Y.-W. Efficient synthesis of 2,5-dihydroxymethylfuran and 2,5-dimethylfuran from 5-hydroxymethylfurfural using mineral-derived Cu catalysts as versatile catalysts. Catal. Sci. Technol. 2015, 5, (8), 4208-4217. (38) Gawade, A. B.; Tiwari, M. S.; Yadav, G. D. Biobased green process: selective hydrogenation of 5-hydroxymethylfurfural to 2,5-dimethyl furan under mild conditions using Pd-Cs2.5H0.5PW12O40/K-10 Clay. ACS Sustain. Chem. & Eng. 2016, 4, (8), 4113-4123. (39) Nakagawa, Y.; Takada, K.; Tamura, M.; Tomishige, K. Total hydrogenation of furfural and 5-hydroxymethylfurfural over supported Pd–Ir alloy catalyst. ACS Catal. 2014, 4, (8), 2718-2726. (40) Dong, F.; Ding, G.; Zheng, H.; Xiang, X.; Chen, L.; Zhu, Y.; Li, Y. Highly dispersed Cu nanoparticles as an efficient catalyst for the synthesis of the biofuel 2-methylfuran. Catal. Sci. 27
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451 452 453 454 455 456 457 458 459 460 461 462 463 464 465 466 467 468 469 470 471 472 473 474 475 476 477 478 479 480 481 482 483 484 485
Technol. 2016, 6, (3), 767-779. (41) Shafaghat, H.; Rezaei, P. S.; Ashri Wan Daud, W. M. Effective parameters on selective catalytic hydrodeoxygenation of phenolic compounds of pyrolysis bio-oil to high-value hydrocarbons. RSC Adv. 2015, 5, (126), 103999-104042. (42) Liu, H.; Jiang, T.; Han, B.; Liang, S.; Zhou, Y. Selective phenol hydrogenation to cyclohexanone over a dual supported Pd-Lewis acid catalyst. Science 2009, 326, (5957), 1250-1252. (43) Zhao, C.; Kou, Y.; Lemonidou, A. A.; Li, X.; Lercher, J. A. Highly selective catalytic conversion of phenolic bio-oil to alkanes. Angew Chem. Int. Ed. Engl. 2009, 48, (22), 3987-3990. (44) Lv, P.; Yuan, Z.; Wu, C.; Ma, L.; Chen, Y.; Tsubaki, N. Bio-syngas production from biomass catalytic gasification. Energ. Convers. Manag. 2007, 48, (4), 1132-1139. (45) Zhu, Y. F.; Kong, X.; Zhu, S. H.; Dong, F.; Zheng, H. Y.; Zhu, Y. L.; Li, Y. W. Construction of Cu/ZrO2/Al2O3 composites for ethanol synthesis: Synergies of ternary sites for cascade reaction. Appl. Catal. B-Environ 2015, 166, 551-559. (46) Evans, R.; Deng, Z.; Rogerson, A. K.; McLachlan, A. S.; Richards, J. J.; Nilsson, M.; Morris, G. A. Quantitative interpretation of diffusion-ordered NMR spectra: can we rationalize small molecule diffusion coefficients? Angew Chem. Int. Ed. Engl. 2013, 52, (11), 3199-3202. (47) Primikyri, A.; Kyriakou, E.; Charisiadis, P.; Tsiafoulis, C.; Stamatis, H.; Tzakos, A. G.; Gerothanassis, I. P. Fine-tuning of the diffusion dimension of –OH groups for high resolution DOSY NMR applications in crude enzymatic transformations and mixtures of organic compounds. Tetrahedron 2012, 68, (34), 6887-6891. (48) Cabrita, E. J.; Berger, S. DOSY studies of hydrogen bond association: tetramethylsilane as a reference compound for diffusion studies. Magn. Reson. Chem. 2001, 39, (S1), S142–S148. (49) Silva, P. J. Inductive and resonance effects on the acidities of phenol, enols, and carbonyl alpha-hydrogens. J. Org. Chem. 2009, 74, (2), 914-916. (50) Novoa-Carballal, R.; Fernandez-Megia, E.; Jimenez, C.; Riguera, R. NMR methods for unravelling the spectra of complex mixtures. Nat. Prod. Rep. 2011, 28, (1), 78-98. (51) Cohen, Y.; Avram, L.; Frish, L. Diffusion NMR spectroscopy in supramolecular and combinatorial chemistry: an old parameter--new insights. Angew Chem. Int. Ed. Engl. 2005, 44, (4), 520-554. (52) Pagliai, M.; Munizmiranda, F.; Cardini, G.; Righini, R.; Schettino, V. Hydrogen bond dynamics of methyl acetate in methanol. J. Phys. Chem. Lett. 2014, 1, (19), 2951-2955. (53) Reile, I.; Aspers, R.; Feiters, M. C.; Rutjes, F.; Tessari, M. Resolving DOSY spectra of isomers by methanol-d4 solvent effects. Magn. Reson. Chem. 2017, 55, (8), 759-762.
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Synopsis: A great NMR tool, DOSY plus selective TOCSY, is investigated detailed for analyzing hydrogenation/hydrogenolysis reaction mixtures of biomass-derived platform compounds. 529x211mm (96 x 96 DPI)
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