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Article

Investigation of a Complex Reaction Pathway Network of Isobutane/2-Butene Alkylation by CGC–FID and CGC-MS-DS

1
Guangxi Key Laboratory of Petrochemical Resources Processing and Process Intensification Technology, School of Chemistry and Chemical Engineering, Guangxi University, Nanning 530004, China
2
PetroChina Guangxi Tiandong Petrochemical Co., Ltd., Tiandong 531599, China
*
Author to whom correspondence should be addressed.
Submission received: 21 September 2022 / Revised: 3 October 2022 / Accepted: 9 October 2022 / Published: 13 October 2022
(This article belongs to the Topic Catalysis: Homogeneous and Heterogeneous)

Abstract

:
The mechanism of reaction in isobutane/2-butene alkylation systems is extremely complicated, accompanied by numerous side reactions. Therefore, a comprehensive understanding of the reaction pathways in this system is essential for an in-depth discussion of the reaction mechanism and for improving the selectivity of the major products (clean fuel blend components). The alkylation of isobutane/2-butene was studied using a self-made intermittent reaction device with a metering, cooling, reaction, vacuum and analysis system. The alkylates were qualitatively and quantitatively analyzed using a capillary gas chromatography-mass spectrometry-data system (CGC-MS-DS) and capillary gas chromatography with flame ionization detection (CCGC-FID), respectively, and the precision and recovery of the quantitative analytical methods were verified. The results showed that the relative standard deviation (RSD) of the standard sample was below 0.78%, and the recoveries were from 98.53% to 102.85%. Under the specified reaction conditions, 79 volatile substances were identified from the alkylates, and the selectivity of C8 and trimethylpentanes (TMPs) reached 63.63% and 53.81%, respectively. The changes of the main chemical components in the alkylation reaction with time were tracked and analyzed, based on which reaction pathways were determined, and a complex reaction network containing the main products’ and the by-products’ generation pathway was constructed.

1. Introduction

With the increasing stricter emission standards, the upgrading of gasoline is developing in a higher quality and environmentally friendly direction. The alkylation of isobutane/butene in the C4-fraction is a vital process in the petroleum refining industry for the production of alkyl compounds, in which the alkylated oil produced has the outstanding advantages of a high researched octane, with good anti-explosive properties, no olefins or aromatics, a low vapor pressure, a complete combustion, cleanliness, etc. It is the unique blending component that can simultaneously satisfy the requirements of a high octane value and a clean combustion [1,2,3,4,5,6,7,8]. Since 1990, U.S. refiners have been obliged to change their gasoline composition strategies to meet the mandatory specifications of the Clean Air Act (CAA). Since 1995, the US has been using methyl tertiary butyl ether (MTBE) in large quantities for gasoline additives. However, due to the MTBE having a severe environmental contamination problem, policies banning MTBE as a gasoline additive have been introduced in many countries. Since then, the alkylates have become the optimum mixture component in the gasoline pool of a traditional refinery. With the rapidly increasing demand for alkylated oil, the world’s alkylated oil production exceeded 115.6 million tons/year [9,10,11,12].
Currently, liquid acids, ionic liquids and solid acids are used as catalysts for isobutanes and butenes alkylation reactions. However, alkylation technologies using ionic liquids and solid acids as catalysts are not yet mature. Moreover, they have high input costs, so these technologies have not yet been promoted in the industry. The commonly used catalysts for the industrial production of alkylated oils are still sulfuric acid and hydrofluoric acid, among which, the sulfuric acid method has the characteristics of being cheap and easy to obtain raw materials and mature technology; while hydrofluoric acid is a highly toxic, highly volatile and corrosive compound, which is extremely easy to volatilize and spread, causing ecological and environmental pollution, so sulfuric acid has been the mainstream alkylation catalyst in the industry. At present, there are about 700 refineries worldwide, and most of them are based on the sulfuric acid method [13,14,15,16,17].
The reaction pathway and the reaction kinetics are important to design and optimize the reaction process [18]. At the beginning of the 1940s, Schmerling [19,20] suggested a mechanism to describe the process of alkylation for olefins and isobutanes based on the ionic principle. Following that, Albright et al. [21,22] showed that the main source of dimethylhexanes (DMHs) carbonium ions was not generated by the isomerization of TMPs carbonium ions, as the amount of DMHs varied dramatically with the retention time and stirring speed. Sun et al. [23] developed a kinetic model for isobutane and butene alkylation reactions, where sulfuric acid was used as the catalyst, and the variation in the concentration of TMPs, DMHs and heavy ends (HEs) was predicted. Li et al. [14] used the microchemical system to determine the concentration variations in the sulfuric acid alkylation reaction of isobutane and 2-butene at different temperatures for the primary components of TMPs, DMHs, light ends (LEs) and HEs, and developed a simple kinetic model incorporating the main and side response reactions, which was well predicted and the results were further validated using COMSOL software simulations.
However, the C4 alkylation reaction is a complex reaction system, and its reaction process is accompanied by a variety of side reactions and generates a large number of by-products. To reduce the side reactions of the system, it is necessary to have a comprehensive understanding of the reaction pathways of this reaction system. Although some studies on alkylation reactions have been reported, few of the above-mentioned studies specifically considered each light and heavy component but rather assembled them into LEs and HEs, and little focus has been paid to how the reaction pathway network has been explored and constructed. The envisaged reaction pathway network diagrams were simpler and difficult to explain, in detail, the pathways through which side reactions occur, which requires more detailed reaction pathway network diagrams to describe alkylation reactions and refine the alkylation reaction mechanism, thus providing a basis for building a kinetic model, which in turn provides a basis for the design and optimization of reaction conditions and reactors. Meanwhile, to obtain a detailed alkylation reaction pathway network and investigate the reaction mechanism in-depth, the C4 alkylation reaction system with sulfuric acid as the catalyst must be traced and analyzed in detail to comprehensively identify and quantitatively analyze the reaction species at different reaction times.
CGC-FID is a sensitive, accurate, reproducible, quantitative and versatile analytical tool that is well suited for analyzing complex mixtures. The CGC–MS-DS is one of the most attractive and effective means among the commonly used qualitative analysis methods due to its good sensitivity, high selectivity and versatility, as well as a large number of well-established library databases available [24,25,26,27,28,29]. In this study, experiments on the alkylation of C4-fractions with sulfuric acid as the catalyst were carried out by a self-designed apparatus with a metering system, a cooling system, a reaction system and an analysis system. The CGC-MS-DS was used to identify a complex mixture of alkylation products. The quantitative analysis was performed using CGC-FID, and this quantitative method’s calibration factors, precision and spiked recoveries were investigated. Meanwhile, the intermediate species and products distribution were investigated by the CGC–MS-DS and CGC-FID. According to the classical carbonium ion mechanism, as well as the results of the CGC-MS-DS identification of the alkylation products of isobutane and 2-butene and the alkylation product distribution with time, a detailed reaction pathway network was developed, which includes the reaction pathway of each by-product.

2. Results and Discussion

2.1. Optimization of the CGC-FID Analysis Conditions

Since almost all alkyl compounds are hydrocarbons, the inlet temperature was set up at 250 °C to rapidly vaporize the various components of the sample. The temperature of the detector was set up at 250 °C to prevent the generation of condensate in the detector, due to the temperature difference. The alkylates are a mixture of hydrocarbons with different carbon numbers, in which there are a large number of isomers with similar boiling points and molecular weights and wide boiling ranges, so the CGC separation was carried out by a programmed temperature rise. Following several experimental tests on the injection volume, the programmed ramp-up rate and the carrier gas flow rate, the CGC-FID analysis conditions were identified below: both the injector and flame ionization detector were set to 250 °C, and the injection was in separation mode (1:80) with an injection volume of 1 μL. The pressures of the carrier gas, air, and hydrogen were set to 0.12 MPa, 0.1 MPa, and 0.1 MPa, respectively. This analytical condition provided a good separation of the alkylate fractions, and the chromatogram of the alkylates is shown in Figure 1.

2.2. Quantitative Analysis Results of the Peak Area Normalization Method

2.2.1. Relative Correction Factors

Three standard solutions of different concentrations were prepared separately using electronic-analytical balances with a precision as low as 0.0001 g. The standard solutions were measured five times in parallel under the specified chromatographic analysis conditions, and 2,2,4-trimethylpentane was selected as the reference material (S). The relative correction factors of each component were calculated by Equation (4), as shown in Table 1.
As seen in Table 1, the relative correction factors of the benchmark 2,2,4-trimethylpentane and the components were in the range of 0.99 to 1.07, and all of the components had relative correction factors close to 1. For the alkylates, most of the components are tautomers or homologs, and their structures are similar, so their relative correction factors are also close to each other.

2.2.2. Comparison of the Peak Area Normalization Method and the Corrected Peak Area Normalization Method

Firstly, three standard samples with different concentrations were prepared and quantified by the peak area normalization method and the corrected peak area normalization method. Next, the average value was taken for five parallel measurements, and then the relative deviations (RDs) were calculated according to Equation (1), and the results are shown in Table 2.
R D = Z i v i v i × 100 %
where Zi is the concentration of component i measured by different analytical methods, vi is the concentration of the initial standard samples of component i.
As seen in Table 2, the maximum RD between the quantitative results of the peak area normalization method and the actual content is 3.11%, and the maximum RD between the quantitative results of the corrected peak area normalization method and the actual content of the sample is 2.52%. The difference between the quantitative results of the two ways was 0.59%. The deviation of the data measured by the two methods is small, so it is more convenient to choose the peak area normalization method for the quantification.

2.2.3. Precision

A standard sample was prepared, measured five times in parallel and the average value was calculated. Then, the measurement results’ relative standard deviation (RSD) was calculated by Equation (2), and the results are shown in Table 3.
R S D = S i x ¯ i = j = 1 n x i j x ¯ i 2 x ¯ i × 100 %
where Si is the standard deviation of component i, xij is the mass fraction of component i, xi is the mean of the mass fraction of component i.
As shown in Table 3, the RSD of the samples was less than 0.78%, indicating that the selected chromatographic conditions were reasonable and the excellent precision of the area normalization method’s quantitative results met the determination requirements.

2.2.4. Recovery

A standard sample was prepared and measured five times in parallel to take the average value, and then a specific content of the measured substance was added and measured five times in parallel by the same method. Finally, the recoveries of the components in the samples were calculated according to Equation (3), and the results are shown in Table 4.
As shown in Table 4, the recoveries of the standard samples were 98.53% to 102.85%, and the accuracy of the selected analytical and quantitative methods was high.
R e c o v e r y = Y i y i a i × 100 %
where Yi is the measured value after the spiking of component i, yi is the measured value of the initial standard sample of component i, ai is the spiked value of component i.

2.3. Chemical Composition of the C4 Alkylation Products

The alkylates were characterized using the CGC-MS-DS. The standard samples (listed in the materials) were first analyzed to determine their spectrum and relative retention time, and then the alkylate was divided into two equal parts. One was added to the standard samples, and the other was not added with any substance. Both samples were analyzed using identical instrument parameters. Their spectra were both searched using the NIST14, NIST14s, NIST20-1, NIST20-2 and NIST20s databases in the CGC-MS-DS program. Then, the substances without standard samples were directly searched and characterized by the databases, and other products in the alkylate were characterized by the databases, further confirmed by adding standards. A total of 86 substances were confirmed to be isolated from the isobutane/2-butene alkylation reaction products, and the identification of 79 compounds was identified. The results revealed that the retention times of the most important products of the isobutane/2-butene alkylation reaction, TMPs, ranged from 16.734 min to 22.407 min. The results of the isobutane/2-butene alkylation product components are shown in Table 5.

2.4. Alkylation Reaction Pathway Network

2.4.1. Changes in the Composition of the Reaction Process

The isobutane/2-butene alkylation reaction was followed by the CGC–MS-DS and CGC-FID under the conditions of the molar ratio of isobutane to 2-butene of 10:1 (I/O = 10:1), the sulfuric acid/hydrocarbon volume ratio of 1:1 (A/H = 1:1), the reaction temperature of 7 °C, the reaction pressure of 0.5 MPa, the stirring speed of 1300 rpm and the changes of the reaction conversion and selectivity of each component with time were investigated. The results are shown in Figure 2.
As noted in Figure 2d, the conversion of 2-butene reached 97.12% at 2 min, which indicates that the alkylation of C4 was a fast reaction, and most of 2-butene was already consumed rapidly at 2 min, and the conversion of 2-butene increased slightly after 2 min; it reached 98.08% at 5 min and finally stabilized, but the conversion did not reach 100%, perhaps because 2-butene had a certain saturation vapor pressure at the reaction temperature and failed to participate in the reaction completely. From Figure 2a–c, it could be seen that the selectivity of the C8 component increased sharply from 0.5 to 5 min, the selectivity of the C9+ components decreased significantly, and the selectivity of the C5-C7 components increased slowly; after 5 min, the components stabilized. The alkylation reaction was completed after 2 min, but between 2 and 5 min, the selectivity of the TMPs continued to increase, the selectivity of the DMHs increased slightly, and the selectivity of the C9+ high carbon fraction continued to decrease.

2.4.2. Reaction Pathway Network Construction

According to the CGC–MS-DS and CGC-FID tracing analysis results of the alkylation reaction products, it was known that the reaction generated C8 (TMPs) as the main product, while a large number of low carbon molecules, as well as high carbon molecule by-products, were also generated, in which the high carbon molecules were generated because of the polymerization of the low carbon molecules. In the qualitative analysis of the CGC–MS-DS in Table 5, it was found that there were many isomers in the same carbon number molecule, indicating that there was also an isomerization reaction in the alkylation reaction. It could be seen from Figure 2 that the alkylation reaction essentially ended at 2 min, and within 5 min, the selectivity of C8 increased sharply, the selectivity of C9+ decreased sharply, and the selectivity of C5–C7 increased slightly. Indicating that at this stage, high carbon molecules underwent a scission reaction to form C8 and the low carbon molecules C5–C7, among which TMPs are the main cleavage products. The selectivity of C9 decreased most rapidly, indicating that it was one of the significant reactants in the fragmentation reaction. Thus, the alkylation of isobutene/2-butene was a complex reaction in which the primary reaction was an addition reaction to produce C8, accompanied by polymerization, fragmentation, isomerization and other side reactions. The reactions at each node in the alkylation reaction pathway network were as follows:
(1) Isomerization reaction: Under an acidic environment, the reaction material 2-butene (2-C4=) undergoes isomerization through a hydrogen transfer or methyl transfer to form 1-butene (1-C4=) and isobutene (i-C4=) and reaches equilibrium, and the thermodynamic equilibrium between butenes favors isobutene at the reaction temperature, so the selectivity of isobutene is the highest [30,31]. Similarly, other high-carbon carbocations undergo isomerization reactions through a similar hydrogen transfer or methyl transfer, which is why the alkylation products contain multiple isomers in the same carbon number molecule.
(2) Main reaction: It is well known that the isobutane alkylation reaction follows the classic carbonium ion mechanism by Schmerling et al. [18,32]. According to the classic carbonium ion mechanism, the unsaturated double bond in butene seizes H+ in the acid catalyst to form C4+, and C4+ further undergoes isomerization to generate the more stable tert-butyl carbocation (i-C4+). i-C4+ underwent addition reactions with 2-C4= (or i-C4=) and 1-butene to generate TMPs+ and DMHs+, respectively. Finally, the TMPs+ seizure the H- of i-butane (i-C4) to generate TMPs+ and the DMHs+ seizure the H- of reactants i-C4 to generate DMHs [14,33].
(3) Polymerization reaction: Olefins underwent dimerization or multimerization reactions at high temperatures and under acidic conditions. The strong exotherm of the alkylation reaction led to high local temperatures and initiated the polymerization of olefins. The dimerization reaction between olefins produced C8+, and then C8+ and short chain carbonium ions will continue to polymerize with C4-fractions to produce high carbon number molecules [34,35].
(4) Fragmentation reaction: The multimerization reaction between olefins generated high-carbon molecules, which obtained protons to form carbonium ions. Long-chain carbonium ions were unstable in an acidic environment and were easily broken into short-chain hydrocarbon molecules at the β position of the charged carbon atoms. The resulting short-chain hydrocarbons underwent further reactions under alkylation conditions [36]. Albright [37] believed that C12+ and C16+ were the most important intermediates, C12+ and C16+ underwent a cleavage reaction to generate short-chain carbanions and short-chain alkenes, and the short-chain carbanions further abstracted H- to generate short-chain alkanes, resulting in the generation of C5, C6, C7 and other alkanes.
According to the classic carbonium ion mechanism, the results of the tracing analysis of the isobutane/2-butene alkylation products, and the discussion of the above reaction pathway network nodes, multiple reactions occur simultaneously in the alkylation system of isobutane and 2-butene with a large number of isoparaffins and corresponding carbocations. During the experiment, it was found that the change in the selectivity of the C8 component was negatively correlated with the selectivity of C9+ components before 5 min, with the largest change in the selectivity of the C9 components. However, as shown by the conversion of 2-butene, the alkylation reaction was finished at 2 min. Therefore, the increase in the selectivity of the C8 components between 2 to 5 min may be related to the fracture reaction of the C9 components. In this work, an isobutane/2-butene alkylation reaction pathway network with main and side reactions was constructed on the basis of the results obtained from the tracing analysis, as shown in Figure 3.

3. Experimental Section

3.1. Materials

2,3-dimethylbutane, 2-methylpentane, 3-methylpentane, 2,4-dimethylpentane, 2,2,3-trimethylbutane, 2-methyl Hexane, 2,3-dimethylpentane, 3-methylhexane, 2,2,4-trimethylpentane, 2,4-dimethylhexane, 2,2,3-trimethyl pentane, 2,3,4-trimethylpentane, 2,3-dimethylhexane, 3,4-dimethylhexane and 2,2,5-trimethylhexane were all certified standard samples (chromatographic grade), purchased from TCI (Shanghai) Huacheng Industrial Development Co., Ltd. (Shanghai, China) without further treatment. H2SO4 (AR 96–98%) was purchased from Chengdu Kelon Chemical Co., Ltd. The high-purity gases such as hydrogen (H2), nitrogen (N2), helium (He), dry air, isobutane and 2-butene were purchased from Guangdong Huate Gas Co., Ltd. (Nanning, China). The raw material of isobutane and 2-butene is a mixture, and the ratio of isobutane to 2-butene is 10:1 (I/O = 10:1, mol:mol).

3.2. Experimental Equipment

An independently designed set of C4 alkylation batch reaction devices, which consists of a metering system, a cooling system, a reaction system, a vacuum system and an analysis system. The feeding and metering of the raw materials are controlled by the plunger-type metering pump into the pressurized reaction kettle, but the control of the feed by the plunger-type metering pump may cause an inaccurate metering [38]. To solve the problem of inaccurate measurement, a mass flow meter (D07-7B, Seven Star, Beijing, China) was used to accurately measure the raw material gas. Then the feed gas passed through a constant temperature circulating water tank into a cooling coil, where it condensed and finally passed into a stainless steel PTFE-lined autoclave (Dalian Jingyi Autoclave Co., Ltd., Dalian, China) to perform the reaction. The unit is also equipped with a vacuum system to remove the air in the system so that the feed gas can be better condensed in the cooling coil and provide a stable environment for the alkylation. To investigate the variation of the reaction product concentration distribution with time, sampling is required to follow the reaction process. Therefore, the analytical system in this paper uses the CGC–MS-DS (TQ8040, Shimadzu, Kyoto, Japan) and CGC-FID (GC9790, FULI, Hangzhou, China) to perform the qualitative and quantitative analyses for the alkylation products, respectively. The self-made reaction device is shown in Figure 4.

3.3. Quantitative Analysis

3.3.1. CGC-FID Analysis Conditions

Quantitative analysis was detected by FULI GC-9790 (Zhejiang Fuli Analytical Instruments Co., Hangzhou, China)with a FID detector and a HP-PONA capillary column (50 m × 0.2 mm × 0.5 μm). The temperature of both the injector and the flame ionization detector was set to 250 °C. The injections were made in a split mode (1:80) with an injection volume of 1 μL. The pressures of the carrier gas, air and hydrogen were set to 0.12 MPa, 0.1 MPa and 0.1 MPa, respectively. The temperature program was as follows: The column temperature was stabilized at an initial value of 60 °C (held for 1 min), ramped up to 80 °C (held for 2 min at a rate of 5 °C/min) and finally ramped up to 200 °C (held for 10 min).

3.3.2. Determination of the Relative Correction Factors

According to the benchmark of a particular component, it was necessary to configure the standard solutions of the different concentrations. Next, we performed the parallel determinations under the specified chromatographic conditions. Then, based on the obtained data, we calculated the relative correction factors of other components in the solution relative to the reference substance.
The calculation formula is shown as follows:
f i s = f i f s = m i / A i m i / A i
where fis is the relative correction factor of component i, fi is the correction factor of component i, fs is the correction factor of a reference substance, mi is the mass of component i, ms is the mass of the reference substance, Ai is the peak area of component i, As is the peak area of the reference substance.

3.3.3. Determining the Mass% of the SAMPLE Components

Based on the peak area Ai and the relative correction factor fis of component i concerning the reference material calculated in Equation (4), the mass fraction of each component i can be calculated from Equation (5).
The calculation formula is shown as follows:
ω i = A i f i s A i f i s × 100 %
where Aifis is the corrected peak area of component i, ∑Aifis is the sum of the corrected peak areas, and ωi is the mass% of component i.

3.4. Qualitative Analysis

CGC-MS-DS Analysis Conditions

The instrument used for the qualitative analysis was a Shimadzu GC-MS-TQ8040, and the column installed was a HP-PONA (50 m × 0.2 mm × 0.5 μm) from Agilent, USA. The sample was injected in the split-flow model (1:100) with an injection volume of 0.2 μL. The column temperature was stabilized at an initial value of 60 °C (held for 2 min), ramped up to 80 °C (held for 2 min at a rate of 5 °C/min) and finally ramped up to 200 °C (held for 10 min). A high purity helium was used as the carrier gas with a pressure of 0.12 MPa, a total flow rate of 50 mL/min, and a purge flow rate of 3.0 mL/min. The total run time was 58 min. The inlet temperature was 250 °C. The mass spectra were obtained in a EI (electron ionization) mode at 70 eV. The ion source temperature was 250 °C, and the interface temperature was 280 °C. Full scan chromatograms with selected mass-to-charge ratios in the range of 20–300 m/z were used for the acquisition.

3.5. C4 Alkylation Reaction

The isobutane/2-butene alkylation was carried out in a 0.1 L stainless steel PTFE-lined autoclave. An internal water-cooled coil is used to control the reaction temperature. A schematic of the experimental set-up is depicted in Figure 4. A certain amount of concentrated sulfuric acid catalyst was poured into the autoclave, and then closed and sealed the autoclave. The air was extracted out of the autoclave with a vacuum pump to an absolute pressure of approximately 0.005 MPa. Then, N2 was introduced into the autoclave to bring the pressure to 0.5 MPa and held for 10 min to ensure that the autoclave did not leak. Next, the autoclave was purged three times by N2 at 0.5 MPa to eliminate any remnant air. The cryostat was adjusted to keep the cooling coil at a low temperature, and the material gas entered the cooling coil to condense. When the autoclave contents were cooled to the desired temperature, N2 was started to be charged to press the condensed material in the cooling coil into the autoclave while the alkylation reaction was carried out at a preset stirring rate. N2 was charged through a manually controlled valve to ensure a constant pressure in the autoclave throughout the reaction. Online sampling was performed at the desired time points, and the samples were processed before the gas chromatography analysis. Once the reaction was finished, we removed the product after collecting the gas from the autoclave.

4. Conclusions

The method for the CGC-FID analysis of alkylates was established, and the relative correction factors of several vital components in the alkylated gasoline were in the range of 0.9907 to 1.0692, and the maximum error of the quantitative results was obtained by the peak area normalization method and the corrected peak area normalization method was 0.59%. In addition, the precision and recovery of the area normalization method were examined. The results showed that the relative standard deviations of the precision were less than 0.78%, and the recoveries ranged from 98.53% to 102.85%, which indicated that the selected gas chromatographic conditions were reasonable and the quantitative analysis results by the area normalization method and the precision met the requirements of the assay.
The products of the alkylation reaction of isobutane/2-butene were characterized by the CGC–MS-DS coupling technique and a total of 79 compounds were identified and followed up. In the early stage of the reaction, 2-butene was isomerized in an acidic environment to form isobutene and 1-butene. In the first 2 min, isobutane was alkylated with the isomerized butene to form the C8 component (TMPs) and other by-products (C5–C7, C9+); after 2 min, the alkylation reaction was completed, and the rearrangement between the components of the reaction products was carried out between 2 and 5 min, with the long chain The long-chain alkane component undergoes a breakage reaction and the short-chain alkane undergoes an isomerization reaction; after 5 min, the rearrangement reaction process is completed. A detailed network of the alkylation of isobutane/2-butene containing each of the by-products was established, and the primary reaction is the alkylation of isobutene and 2-butene, which is a fast reaction accompanied by side reactions such as isomerization, polymerization, fragmentation, etc.
This study provides a precise and sensitive method of qualitative identification and quantitative analysis for the C4 alkylation, demonstrates a plausible complex reaction pathway network of alkylation to reveal the alkylation reaction mechanism, and provides a basis for the establishment of the detailed kinetic models, which in turn leads to the optimization reaction conditions and the design of the C4 alkylation reactors.

Author Contributions

Conceptualization, K.F. and B.L.; methodology, K.F., L.W. and X.C.; software, K.F. and Z.C.; validation, K.F. and J.L.; formal analysis, Z.Z.; investigation, K.F.; resources, B.L. and L.W.; data creation, K.F. and Z.C.; writing—original draft preparation, K.F., Z.C. and L.W.; writing—review and editing, K.F. and L.W.; visualization, X.C. and Z.Z.; supervision, J.L.; project administration, B.L. and X.C.; funding acquisition, L.W. and X.C. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by National Natural Science Foundation of China grant number 21878056, and Director’s Fund of Guangxi Key Laboratory of Petrochemical Resource Processing and Process Intensification Technology grant number 2020Z005.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Data is contained within article.

Conflicts of Interest

There are no conflicts of interest to declare.

References

  1. Singhal, S.; Agarwal, S.; Singh, M.; Rana, S.; Arora, S.; Singhal, N. Ionic liquids: Green catalysts for alkene-isoalkane alkylation. J. Mol. Liq. 2019, 285, 299–313. [Google Scholar] [CrossRef]
  2. Zheng, W.; Wang, H.; Xie, W.; Zhao, L.; Sun, W. Understanding interfacial behaviors of isobutane alkylation with C4 olefin catalyzed by sulfuric acid or ionic liquids. AIChE J. 2018, 64, 950–960. [Google Scholar] [CrossRef]
  3. Zheng, W.; Wang, Z.; Sun, W.; Zhao, L.; Qian, F. H2SO4-catalyzed isobutane alkylation under low temperatures promoted by long-alkyl-chain surfactant additives. AIChE J. 2021, 67, e17349. [Google Scholar] [CrossRef]
  4. Wang, D.; Zhang, T.; Yang, Y.; Chen, S.; Lv, L.; Tang, S. Intensification of isobutane/1-butene alkylation process in a micromixing microreactor catalyzed by ILs/H2SO4. Chem. Eng. Process. Process Intensif. 2022, 174, 108865. [Google Scholar] [CrossRef]
  5. Hommeltoft, S.I. Isobutane alkylation: Recent developments and future perspectives. Appl. Catal. A Gen. 2001, 221, 421–428. [Google Scholar] [CrossRef]
  6. Zhao, Y.; Li, T.; Meng, X.; Wang, H.; Zhang, Y.; Wang, H.; Zhang, S. Improvement of product distribution through enhanced mass transfer in isobutane/butene alkylation. Chem. Eng. Res. Des. 2019, 143, 190–200. [Google Scholar] [CrossRef]
  7. Wang, D.; Zhang, T.; Yang, Y.; Tang, S. Simulation and design microreactor configured with micromixers to intensify the isobutane/1-butene alkylation process. J. Taiwan Inst. Chem. Eng. 2019, 98, 53–62. [Google Scholar] [CrossRef]
  8. Gan, P.; Tang, S. Research progress in ionic liquids catalyzed isobutane/butene alkylation. Chin. J. Chem. Eng. 2016, 24, 1497–1504. [Google Scholar] [CrossRef]
  9. Akhmadova, K.K.; Magomadova, M.K.; Syrkin, A.M.; Egutkin, N.L. History, Current State, and Prospects for Development of Isobutane Alkylation with Olefins. Theor. Found. Chem. Eng. 2019, 53, 643–655. [Google Scholar] [CrossRef]
  10. Kim, D.; Andersen, M.E.; Pleil, J.D.; Nylander-French, L.A.; Prah, J.D. Refined PBPK model of aggregate exposure to methyl tertiary-butyl ether. Toxicol. Lett. 2007, 169, 222–235. [Google Scholar] [CrossRef]
  11. Prah, J.; Ashley, D.; Blount, B.; Case, M.; Leavens, T.; Pleil, J.; Cardinali, F. Dermal, Oral, and Inhalation Pharmacokinetics of Methyl Tertiary Butyl Ether (MTBE) in Human Volunteers. Toxicol. Sci. 2004, 77, 195–205. [Google Scholar] [CrossRef] [Green Version]
  12. Silva, L.K.; Espenship, M.F.; Pine, B.N.; Ashley, D.L.; De Jesús, V.R.; Blount, B.C. Methyl Tertiary-Butyl Ether Exposure from Gasoline in the U.S. Population, NHANES 2001–2012. Environ. Health Perspect. 2019, 127, 127003. [Google Scholar] [CrossRef]
  13. Li, L.; Zhang, J.; Wang, K.; Luo, G. Caprolactam as a New Additive to Enhance Alkylation of Isobutane and Butene in H2SO4. Ind. Eng. Chem. Res. 2016, 55, 12818–12824. [Google Scholar] [CrossRef]
  14. Li, L.; Zhang, J.; Du, C.; Wang, K.; Luo, G. Kinetics Study of Sulfuric Acid Alkylation of Isobutane and Butene Using a Microstructured Chemical System. Ind. Eng. Chem. Res. 2018, 58, 1150–1158. [Google Scholar] [CrossRef]
  15. Ivashkina, E.; Ivanchina, E.; Dolganov, I.; Chuzlov, V.; Kotelnikov, A.; Dolganova, I.; Khakimov, R. Nonsteady-state mathematical modelling of H2SO4-catalysed alkylation of isobutane with alkenes. Oil Gas Sci. Technol. Rev. d’IFP Energies Nouv. 2021, 76, 36. [Google Scholar] [CrossRef]
  16. Höpfl, V.B.; Schachtl, T.; Liu, Y.; Lercher, J.A. Pellet Size-Induced Increase in Catalyst Stability and Yield in Zeolite-Catalyzed 2-Butene/Isobutane Alkylation. Ind. Eng. Chem. Res. 2022, 61, 330–338. [Google Scholar] [CrossRef]
  17. Huang, Q.; Zhao, G.; Zhang, S.; Yang, F. Improved Catalytic Lifetime of H2SO4 for Isobutane Alkylation with Trace Amount of Ionic Liquids Buffer. Ind. Eng. Chem. Res. 2015, 54, 1464–1469. [Google Scholar] [CrossRef]
  18. Wu, C.; Chen, X.; Fu, J.; Zhou, J.; Liang, J.; Wei, X.; Wang, L. ZIF-derived Co/NCNTs as a superior catalyst for aromatic hydrocarbon resin hydrogenation: Scalable green synthesis and insight into reaction mechanism. Chem. Eng. J. 2022, 443, 136193. [Google Scholar] [CrossRef]
  19. Schmerling, L. The Mechanism of the Alkylation of Paraffins. II. Alkylation of Isobutane with Propene, 1-Butene and 2-Butene. J. Am. Chem. Soc. 1946, 68, 275–281. [Google Scholar] [CrossRef]
  20. Mosby, J.F.; Albright, L.F. Alkylation of Isobutane with 1-Butene Using Sulfuric Acid as Catalyst at High Rates of Agitation. I&EC Prod. Res. Dev. 1966, 5, 183–190. [Google Scholar] [CrossRef]
  21. Li, K.W.; Eckert, R.E.; Albright, L.F. Alkylation of Isobutane with Light Olefins Using Sulfuric Acid. Operating Variables Affecting Physical Phenomena Only. Ind. Eng. Chem. Process Des. Dev. 1970, 9, 434–440. [Google Scholar] [CrossRef]
  22. Langley, J.R.; Pike, R.W. The kinetics of alkylation of isobutane with propylene. AIChE J. 1972, 18, 698–705. [Google Scholar] [CrossRef]
  23. Sun, W.; Shi, Y.; Chen, J.; Xi, Z.; Zhao, L. Alkylation Kinetics of Isobutane by C4 Olefins Using Sulfuric Acid as Catalyst. Ind. Eng. Chem. Res. 2013, 52, 15262–15269. [Google Scholar] [CrossRef]
  24. Likić, V.A. Extraction of pure components from overlapped signals in gas chromatography-mass spectrometry (GC-MS). BioData Min. 2009, 2, 6–11. [Google Scholar] [CrossRef] [Green Version]
  25. Bhardwaj, S.K.; Dwivedi, K.; Agarwal, D. A review: GC method development and validation. Int. J. Anal. Bioanal. Chem 2016, 6, 1–7. [Google Scholar]
  26. Santana, G.M.; Akgerman, A. Alkylation of Isobutane with 1-Butene on a Solid Acid Catalyst in Supercritical Reaction Media. Ind. Eng. Chem. Res. 2001, 40, 3879–3882. [Google Scholar] [CrossRef]
  27. Tammekivi, E.; Vahur, S.; Kekišev, O.; van der Werf, I.D.; Toom, L.; Herodes, K.; Leito, I. Comparison of derivatization methods for the quantitative gas chromatographic analysis of oils. Anal. Methods 2019, 11, 3514–3522. [Google Scholar] [CrossRef]
  28. Cao, Y.; Zhu, S.; Zhang, L.; Cui, Q.; Wang, H. Qualitative and quantitative determination of trace aldehydes and ketones in food preservative propionic acid for quality improvement. Anal. Methods 2021, 13, 2989–2996. [Google Scholar] [CrossRef] [PubMed]
  29. Bollenbach, A.; Baskal, S.; Mels, C.; Kruger, R.; Tsikas, D. Unusual Derivatization of Methylmalonic Acid with Pentafluorobenzyl Bromide to a Tripentafluorobenzyl Derivative and Its Stable-Isotope Dilution GC-MS Measurement in Human Urine. Molecules 2022, 27, 5202. [Google Scholar] [CrossRef] [PubMed]
  30. Schmerling, L. The Mechanism of the Alkylation of Paraffins. J. Am. Chem. Soc. 1945, 67, 1778–1783. [Google Scholar] [CrossRef]
  31. Hofmann, J.E.; Schriesheim, A. Ionic Reactions Occurring During Sulfuric Acid Catalyzed Alkylation. II. Alkylation of Isobutane with C14-Labeled Butenes. J. Am. Chem. Soc. 1962, 84, 957–961. [Google Scholar] [CrossRef]
  32. Schmerling, L. Reactions of Hydrocarbons. Ind. Eng. Chem. 1953, 45, 1447–1455. [Google Scholar] [CrossRef]
  33. Cao, P.; Zheng, L.; Sun, W.; Zhao, L. Multiscale Modeling of Isobutane Alkylation with Mixed C4 Olefins Using Sulfuric Acid as Catalyst. Ind. Eng. Chem. Res. 2019, 58, 6340–6349. [Google Scholar] [CrossRef]
  34. Liang, L.; Liu, Y.; Jiao, W.; Zhang, Q.; Zhang, C. Octane compositions in sulfuric acid catalyzed isobutane/butene alkylation products: Experimental and quantum chemistry studies. Front. Chem. Sci. Eng. 2021, 15, 1229–1242. [Google Scholar] [CrossRef]
  35. Chen, Z.; Gao, F.; Ren, K.; Wu, Q.; Luo, Y.; Zhou, H.; Zhang, M.; Xu, Q. Mechanism of byproducts formation in the isobutane/butene alkylation on HY zeolites. RSC Adv. 2018, 8, 3392–3398. [Google Scholar] [CrossRef] [Green Version]
  36. Boronat, M.; Viruela, P.; Corma, A. Theoretical study of the mechanism of branching rearrangement of carbenium ions. Appl. Catal. A Gen. 1996, 146, 207–223. [Google Scholar] [CrossRef]
  37. Albright, L.F.; Goldsby, A.R. Industrial and Laboratory Alkylations; American Chemical Society: Washington, DC, USA, 1977; p. 0841203857. [Google Scholar]
  38. Liu, G.; Wu, G.; Liu, Y.; Hu, R.; Gao, G. Theoretical study on the C4 alkylation mechanism catalyzed by Cu-containing chloroaluminate ionic liquids. Fuel 2022, 310, 122379. [Google Scholar] [CrossRef]
Figure 1. Gas chromatogram of the C4 alkylation reaction products.
Figure 1. Gas chromatogram of the C4 alkylation reaction products.
Molecules 27 06866 g001
Figure 2. (a) Variation of the reaction product selectivity with time. (b) Variation of the C9+ selectivity with time. (c) Variation of the C8 and TMPs/DMHs values with time. (d) Variation of the 2-butene conversion with time. (H2SO4 volume = 30 mL, I/O = 10:1, A/H = 1.0, T = 7 °C, stirring speed = 1300 rpm).
Figure 2. (a) Variation of the reaction product selectivity with time. (b) Variation of the C9+ selectivity with time. (c) Variation of the C8 and TMPs/DMHs values with time. (d) Variation of the 2-butene conversion with time. (H2SO4 volume = 30 mL, I/O = 10:1, A/H = 1.0, T = 7 °C, stirring speed = 1300 rpm).
Molecules 27 06866 g002
Figure 3. Diagram of the isobutane/2-butene alkylation reaction pathway network.
Figure 3. Diagram of the isobutane/2-butene alkylation reaction pathway network.
Molecules 27 06866 g003
Figure 4. Diagram of an experimental device for the C4 alkylation reaction.
Figure 4. Diagram of an experimental device for the C4 alkylation reaction.
Molecules 27 06866 g004
Table 1. Relative correction factors for the components.
Table 1. Relative correction factors for the components.
ComponentRelative Correction Factors (fis)
123Mean Value
2,3-Dimethylbutane1.03811.02431.00401.02
2-Methylpentane1.01931.02361.01651.02
3-Methylpentane1.01210.99461.00571.00
2,4-Dimethylpentane1.00480.97171.00440.99
2,2,3-Trimethylbutane1.04021.05411.04791.05
2-Methylhexane0.98460.98561.00980.99
2,3-Dimethylpentane0.99390.99430.98460.99
3-Methylhexane1.05811.03511.05661.05
2,2,4-Trimethylpentane1.00001.00001.00001.00
2,4-Dimethylhexane1.00221.00760.99381.00
2,2,3-Trimethylpentane1.00701.04651.06101.04
2,3,4-Trimethylpentane1.00741.00171.03991.02
2,3-Dimethylhexane1.03891.08391.08481.07
3,4-Dimethylhexane1.00131.03561.05181.03
2,2,5-Trimethylhexane0.97010.99231.00960.99
Table 2. Comparison of the quantitative analysis results of the peak area normalization method and the corrected peak area normalization method.
Table 2. Comparison of the quantitative analysis results of the peak area normalization method and the corrected peak area normalization method.
ComponentSerial NumberInitial
Concentration (wt%)
Concentration Measurement for the Quantitative Analytical Method
Peak Area
Normalization (wt%)
RD
(%)
Corrected Peak Area Normalization
(wt%)
RD
(%)
2,3-Dimethylbutane13.58723.52601.713.55631.02
28.05377.95191.268.00480.61
34.41304.35331.354.38210.70
2-Methylpentane15.69465.68130.235.71670.15
26.63146.66410.496.69590.93
35.24255.17771.245.19990.81
3-Methylpentane17.15127.08800.887.02261.99
25.03395.03580.045.00051.02
36.76996.70550.956.63082.06
2,4-Dimethylpentane14.97405.03751.284.93890.85
25.95555.95590.015.86152.14
38.58988.68651.138.49991.05
2,2,3-Trimethylbutane14.15284.10061.264.23791.94
25.12495.05911.285.19331.83
38.13488.00101.648.25291.45
2-Methylhexane17.12027.16210.597.01971.49
24.33024.42322.154.35200.08
36.49616.60221.636.45840.58
2,3-Dimethylpentane17.07377.16371.277.00451.04
28.34468.42791.008.27671.44
37.57037.71021.857.52420.61
3-Methylhexane15.35375.21082.675.39830.78
29.70089.53681.699.80881.65
38.30768.12472.208.40071.12
2,2,4-Trimethylpentane113.620513.82351.4913.63970.17
29.74819.81020.649.70420.89
311.690411.81661.0811.63690.46
2,4-Dimethylhexane17.53087.71902.507.62540.95
212.086712.12740.3412.00741.07
35.21545.31021.825.23570.39
2,2,3-Trimethylpentane17.08146.95411.807.12351.17
23.96653.97030.104.04662.34
33.63563.59261.183.67291.03
2,3,4-Trimethylpentane17.98797.95150.147.97390.06
25.39915.44840.915.45951.00
35.94425.93570.465.94090.04
2,3-Dimethylhexane14.36204.22623.114.45852.30
24.38184.26642.634.45282.52
35.97795.80332.926.11052.22
3,4-Dimethylhexane16.53136.54650.286.65041.10
25.09725.08450.255.14791.14
34.46324.45060.234.51251.95
2,2,5-Trimethylhexane17.77877.80930.397.63361.69
26.14566.23821.516.12480.97
37.54937.72982.397.54120.11
Table 3. Precision measurement results.
Table 3. Precision measurement results.
ComponentMeasured Value (wt%)Mean Value (wt%)RSD (%)
12345
2,3-Dimethylbutane4.72894.67994.66304.66134.62984.67260.78
2-Methylpentane7.74757.62787.66067.66807.62587.66590.64
3-Methylpentane3.59133.54863.55863.55403.53903.55830.56
2,4-Dimethylpentane6.27836.24896.25176.25466.25586.25780.19
2,2,3-Trimethylbutane3.91373.89163.90333.90713.90193.90350.21
2-Methylhexane6.87896.87496.86556.87506.87756.87430.08
2,3-Dimethylpentane6.43276.42896.43266.44266.44116.43560.09
3-Methylhexane10.957010.968810.953610.968610.973010.96420.08
2,2,4-Trimethylpentane23.273523.366923.319523.343323.356623.33200.16
2,4-Dimethylhexane4.35484.33704.39774.37474.37484.36780.53
2,2,3-Trimethylpentane2.94612.99662.95152.96562.97972.96790.70
2,3,4-Trimethylpentane5.88925.92985.92845.91325.93135.91840.30
2,3-Dimethylhexane6.16666.20316.20076.18666.20286.19190.25
3,4-Dimethylhexane2.61112.62912.63862.62912.63712.62900.42
2,2,5-Trimethylhexane4.23054.26824.27474.25644.27414.26080.43
Table 4. Determination results of the recovery.
Table 4. Determination results of the recovery.
ComponentInitial Value (g)Spiked Value (g)Measured Value
(g)
Recovery
(%)
2,3-Dimethylbutane0.14880.10910.256398.53
2-Methylpentane0.09260.06370.155598.74
3-Methylpentane0.09330.09460.186898.76
2,4-Dimethylpentane0.10850.15710.2688102.05
2,2,3-Trimethylbutane0.14040.06130.201299.22
2-Methylhexane0.11790.13200.249899.86
2,3-Dimethylpentane0.12770.18360.3129100.85
3-Methylhexane0.11630.15260.267098.76
2,2,4-Trimethylpentane0.19160.12080.3136100.99
2,4-Dimethylhexane0.07460.08140.1584102.85
2,2,3-Trimethylpentane0.05530.02770.0836101.97
2,3,4-Trimethylpentane0.08830.07730.164798.86
2,3-Dimethylhexane0.07590.07550.150598.77
3,4-Dimethylhexane0.10030.07390.173198.53
2,2,5-Trimethylhexane0.08950.09280.1825100.20
Table 5. CGC-MS-DS analysis results of the alkylation products.
Table 5. CGC-MS-DS analysis results of the alkylation products.
Serial NumberRetention Time
(min)
Peak Area (%)Similarity (%)Alkylate ComponentsMolecular WeightMolecular Formula
17.1500.411495Isobutane58C4H10
28.2921.4791882-Methylbutane72C5H12
310.3921.3210902,3-Dimethylbutane86C6H14
410.4701.2597882,2-Dimethylbutane86C6H14
510.9750.5609953-Methylpentane86C6H14
612.952.1885912,4-Dimethylpentane100C7H16
713.3590.3170952,2-Dimethylpentane100C7H16
814.9980.8880892-Methylhexane100C7H16
915.2171.2700932,3-Dimethylpentane100C7H16
1015.5780.6173943-Methylhexane100C7H16
1116.73416.4986902,2,4-Trimethylpentane114C8H18
1219.8794.4194862,5-Dimethylhexane114C8H18
1320.1123.6922882,4-Dimethylhexane114C8H18
1420.2552.2556882,2,3-Trimethylpentane114C8H18
1521.8045.5302892,3,4-Trimethylpentane114C8H18
1622.4078.5216892,3,3-Trimethylpentane114C8H18
1722.6781.6362902,3-Dimethylhexane114C8H18
1823.1300.6178922-Methylheptane114C8H18
1923.2980.1607884-Methylheptane114C8H18
2023.6100.4025943,4-Dimethylhexane114C8H18
2123.8920.4454903-Methylheptane114C8H18
2225.04913.3359942,2,5-Trimethylhexane128C9H20
2325.7480.2054962,2,4-Trimethylhexane128C9H20
2427.2180.2218902,4,4-Dimethylhexane128C9H20
2527.8941.6321872-Methyloctane128C9H20
2628.4330.4001914,4-Dimethylheptane128C9H20
2728.9540.7304932-Methyloctane128C9H20
2829.5301.3327882,5-Dimethylheptane128C9H20
2929.6550.1551882,2,3-Trimethylhexane128C9H20
3030.6060.0958922,3,4-Trimethylhexane128C9H20
3130.9710.1409921,3,5-Trimethylcyclohexane126C9H18
3231.1940.2355902,3-Dimethylheptane128C9H20
3331.4230.0970923,4-Dimethylheptane128C9H20
3432.3050.1495952-Methyloctane128C9H20
3532.6650.3004924,4-Dimethyloctane142C10H22
3632.7910.3195 unknown C10H22
3732.9522.3452872,2-Dimethyloctane142C10H22
3833.0890.3087962,2,4-Trimethylheptane142C10H22
3933.4612.0970873,4-Dimethyloctane142C10H22
4034.3931.1930882,5,5-Trimethylheptane142C10H22
4135.0180.0851871,1,3,5-Tetramethylcyclohexane140C10H22
4235.2690.1540872,4,6-Trimethylheptane142C10H22
4335.5500.7600902,3-Dimethyloctane142C10H22
4435.7060.1259912,3,5-Trimethylheptane142C10H22
4536.0640.1843872,5-Dimethyloctane142C10H22
4636.5560.1462862,7-Dimethyloctane142C10H22
4736.6610.2365943,6-Dimethyloctane142C10H22
4837.9570.0768922,3-Dimethyloctane142C10H22
4938.5361.8619903,8-Dimethylnonane156C11H24
5039.1540.4097922,2,6,6-Tetramethylheptane156C11H24
5139.3200.7298872,2,3,5-Tetramethylheptane156C11H24
5239.4630.1995892,4,6-Trimethyloctane156C11H24
5339.5920.6486883,6-Dimethyldecane170C12H24
5439.6790.4938863-Methylundecane170C12H24
5540.3770.4704863,8-Dimethyldecane170C12H24
5640.5030.1684835-Methylundecane170C12H24
5740.7630.3103812,8,8-Trimethyldecane184C13H28
5841.5640.1575906,6-Dimethylundecane184C13H28
5942.0151.9689863,9-Dimethylundecane184C13H28
6042.4470.4732873,3-Dimethylundecane184C13H28
6142.7890.9040893,6-Dimethylundecane184C13H28
6243.5790.3784876-Methyldodecane184C13H28
6343.7650.5435882,9-Dimethylundecane184C13H28
6444.0101.0890865-Methyldodecane184C13H28
6544.2830.2509902,5-Dimethylundecane184C13H28
6644.6991.2211874,4-Dimethylundecane184C13H28
6744.9860.2573905-Methyl-5-propylnonane184C13H28
6845.1380.2227943-Methyldodecane184C13H28
6945.3110.2427922,2,4-Trimethyldecane184C13H28
7045.5760.4157932,6-Dimethylundecane184C13H28
7146.5370.2544884,6-Dimethyldodecane198C14H30
7246.7130.772587unknown
7347.0600.1439925-Methyltridecane198C14H30
7447.2420.2518902,6,10-Trimethyldodecane212C15H32
7548.2300.4782924-Methyltetradecane212C15H32
7648.7140.8915902,6,11-Trimethyldodecane212C15H32
7748.7790.6753903-Methyltetradecane212C15H32
7849.0450.224986n-pentadecane212C15H32
7949.3550.1177922,2-Dimethyltetradecane226C16H34
8049.9860.167892n-Hexadecane226C16H34
8150.4040.2211922,2,11,11-Tetramethyldodecane226C16H34
8251.0430.1408 unknown
8352.9630.2317 unknown
8453.3070.2980 unknown
8553.9870.0631 unknown
8654.1340.0924 unknown
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Fu, K.; Liu, B.; Chen, X.; Chen, Z.; Liang, J.; Zhang, Z.; Wang, L. Investigation of a Complex Reaction Pathway Network of Isobutane/2-Butene Alkylation by CGC–FID and CGC-MS-DS. Molecules 2022, 27, 6866. https://0-doi-org.brum.beds.ac.uk/10.3390/molecules27206866

AMA Style

Fu K, Liu B, Chen X, Chen Z, Liang J, Zhang Z, Wang L. Investigation of a Complex Reaction Pathway Network of Isobutane/2-Butene Alkylation by CGC–FID and CGC-MS-DS. Molecules. 2022; 27(20):6866. https://0-doi-org.brum.beds.ac.uk/10.3390/molecules27206866

Chicago/Turabian Style

Fu, Kaiwei, Bei Liu, Xiaopeng Chen, Zhiyu Chen, Jiezhen Liang, Zhongyao Zhang, and Linlin Wang. 2022. "Investigation of a Complex Reaction Pathway Network of Isobutane/2-Butene Alkylation by CGC–FID and CGC-MS-DS" Molecules 27, no. 20: 6866. https://0-doi-org.brum.beds.ac.uk/10.3390/molecules27206866

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