Abstract
Reaction calorimetry of flow processes is important for scale-up and safety in flow chemistry. Due to the increasing number of flow processes, corresponding flow calorimeters are required as an alternative or addition to high-precision batch calorimeters. In this work, a milli-scale isoperibol continuous flow calorimeter was used to measure the heat of reaction based on an elaborated heat transfer model. This allows for reaction calorimetry without calibration. The model was tested with a selective, fast and exothermic neutralization reaction of acetic acid and sodium hydroxide at different flow rates, concentrations and viscosities. Deviations of the mean heats of reaction from the literature values were only about 2%. The calorimetric data can further be used for direct scale-up with tube bundle mixer heat exchangers having similar heat transfer characteristics. In addition, a reaction screening at different flow rates allows to find the maximum temperature and maximum heat generation. This data is useful in safety analyses of continuous processes. For these reasons, continuous reaction calorimetry provides a practical scale-up tool for flow processes.
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Introduction
Reaction calorimetry is a key requirement for chemical process engineering and scale-up design. Traditionally, calorimetry has been conducted in well characterized batch calorimeters usually under isothermal conditions [1, 2]. While batch calorimeters are the choice for engineering and scale-up of chemical processes in stirred tank reactors, continuous flow calorimeters are required for scaling flow chemistry.
Until today, only a few flow calorimeters have been described in literature and even fewer are commercially available [3]. Most of them are microreactor-like and work under almost isothermal conditions [3,4,5,6,7,8,9,10]. While micro-calorimeters are suitable to mimic microreactors, they are limited in describing flow chemistry at larger scale. Unlike in the numbering-up approach, in the sizing-up approach of tubular reactors, non-isothermal behavior could be experienced [11]. For this application, Mortzfeld et al. have described for the first time flow reaction calorimetry in milli-reactors (V = 17 ml) [12]. With their method, they found only 4% deviations of the determined heat of reaction compared to commercial batchwise calorimeter experiments by studying selective model reactions. However, for non-selective reactions, deviations from batch to continuous flow calorimeters were significantly higher. This finding strongly implies the need for investigating flow chemistry in accordingly designed flow calorimeters to be economical and safe in chemical production.
Mortzfeld et al. [12] applied a comprehensive calibration procedure to find the overall heat transfer coefficient k. In contrast, herein we present a novel approach without the need for calibration. It is based on calculations using the precise description of the heat transfer in the tubular reactor (V = 44.3 ml). This method enables an economic and fast reaction screening in flow reactors. In addition to the determined heat of reaction, the temperature profile can be elucidated and used for a further scale-up. The surface to volume ratio of the used plug flow reactor (PFR) is so as to be scaled-up by Fluitec tube bundle mixer heat exchangers by keeping the surface to volume ratio constant [13]. The aim of this kind of reaction calorimetry is mainly providing a reliable scale-up tool for flow processes and thus increase their safety at higher scales, which is still a current topic [14].
In this work, a selective and fast neutralization reaction was examined aiming to verify the heat transfer model described by Georg et al. [15]. The neutralization reaction of acetic acid (AcOH) with sodium hydroxide (NaOH)—a common model reaction in flow calorimetry [4, 7]—was used to determine the heat of reaction at different flow rates, concentrations and viscosities.
Material and methods
Experimental setup
The experimental setup used is schematically shown in Fig. 1. The heart of the continuous reaction calorimeter consists of a jacketed tubular reactor (L = 500 mm, Di = 12.3 mm, Vvoid = 44.3 ml, Contiplant PFR-50-SS, Fluitec mixing + reaction solutions AG, Switzerland) [13, 15], which is equipped with static mixers and an axial temperature sensor (D = 1.6 mm) with 10 thermocouples (Class 1, Type K) (Fig. 2). The reaction chamber contains a premixer section (CSE-X, Di = 4.7 mm) followed by a residence time section (CSE-X, Di = 12.3 mm). Two flow-controlled dosing systems (DZRP-200, 63639, Fluitec), containing gear pumps and Coriolis mass flow meters, were connected to the entry of the PFR. For measuring the initial fluid temperatures, a temperature sensor (Class A, Pt-100, 53286, Fluitec) was positioned in the fluid storage tank. A back pressure valve (Contiplant valve, 64144, Fluitec) was placed at the reactor outlet, ensuring a constant back pressure.
As heat transfer medium (HTM) water was recirculated through the outer shell of the reactor driven by a heating–cooling thermostat (Ministat, Peter Huber Kältemaschinenbau AG, Germany). A Coriolis mass flow meter (Promass 80F15, Endress + Hauser (Schweiz) AG, Switzerland) was used to measure its flow rate. Two temperature sensors (Class A, Pt-100, 53286, Fluitec) were placed on the heat transfer medium side to measure the inlet and outlet temperatures. A picture of the reaction calorimeter set-up can be found in the Supplementary Information.
Data were recorded continuously at 1 s time intervals by means of an inhouse designed Siemens S7 control system. Prior to experiments, each thermocouple of the axial temperature sensor was temperature adjusted. Therefore, the water-filled reactor was heated to 10, 20, 30, 40, 50, 60, 70 and 80 °C.
Neutralization reaction
The neutralization of acetic acid with sodium hydroxide has been chosen as a model reaction because it is selective, very fast, highly exothermic and has already been investigated with continuous flow calorimeters [4, 7] (Eq. 1).
In order to determine the total heat of reaction, the residence time τ has to be longer than the reaction time. Since a neutralization reaction in water is almost instantaneous, its reaction time is very small [16]. This model reaction could therefore be classified as type A reaction according to Roberge et al. [17], with a reaction half-life t1/2 < < 1 s. Thus, the reaction time is only limited by the mixing time. The relations of the time constants are given in Eq. 2.
Solutions of 2 and 4 molar (M) acetic acid (100%, Carl Roth AG, Switzerland) and sodium hydroxide (> 99%, Carl Roth AG, Switzerland) were prepared with distilled water (0.4 mS m−1 conductivity at 25 °C, Förch AG, Switzerland). Both solutions, acid and base, were equimolarly fed in the PFR with flow rates of 10, 20, 30, 40 and 50 ml min−1 each. Temperatures were recorded after an equilibration phase of at least three residence times and 20 measuring points were averaged. The measurements have been reproduced using fresh reactant solutions.
For the experiments at higher viscosity (140 mPas), 70 vol% glucose syrup (HAGLUC.806.C800, Hostettler-Spezialzucker AG, Switzerland) was added to the acetic acid solution. Experiments with 2 molar solutions of acetic acid and sodium hydroxide were carried out at 10, 20, 25, 30 and 40 ml min−1 each.
Experimental procedure
Prior to the continuous reaction calorimeter experiment, a batch experiment was performed and the temperature increase monitored. For this reason, a 100 ml glass bottle filled with 50 ml NaOH solution was stirred with a magnetic stirrer at 400 rpm and 50 ml AcOH solution was added and the temperature increase was measured using a Pt-100 temperature sensor. Adiabatic conditions were assumed, whereas the heat absorption of the glass was considered.
Subsequently, the flow experiments were conducted. The HTM temperature was set to the actual room temperature and the mass flow rate to approximately 500 kg h−1. After tempering for 30 min the first data point was acquired. The inner tube was flushed with water and reactants at a high flow rate (100 ml min−1) to remove possible air inclusions. While the system was running, the back pressure was set to 1 bar. The dosing flow rates were then set to the target values and kept constant for at least three residence times before recording the data. At steady state, the pH value was measured at the outlet of the reactor to ensure the completion of the neutralization reaction. After the measurement, the entire system was flushed with water at a high flow rate.
The fully converted reaction mixtures were analyzed for their density, viscosity, thermal conductivity and specific heat capacity. Density measurements were conducted in a 100 ml volumetric flask with an analytical balance (WBA-620, Witeg Labortechnik GmbH, Germany). Viscosity was determined by means of a viscosimeter (Viscolite 700, Hydramotion Ltd, England). Thermal conductivity and specific heat capacity were measured using a corresponding measurement system (Lamda, Flucon fluid control GmbH, Germany).
Determination of the heat of reaction
Determination of the heat of reaction is based on the theory of a co-current heat exchanger and isoperibolic heat flow calorimetry. The overall heat balance is described in Eq. 3. At steady state, the time-dependent change of heat will be zero. Assuming the heat of neutralization as the only source of heat, the heat flow of the reaction \({\dot{\textit{Q}}}_{\text{r}}\) is the sum of the heat flow exchanged \({\dot{\textit{Q}}}_{\text{ex}}\) and the heat flow not exchanged \({\dot{\textit{Q}}}_{\text{nex}}\).
The exchanged heat flow \({\dot{\textit{Q}}}_{\text{ex}}\) is calculated segment-wise according to the general heat exchanger formula (Eq. 4).
where kj is the local overall heat transfer coefficient (calculated using Eq. (7, 8, 9, 10 and 11), Aa,j the heat exchanger surface at the outside of the tube and ΔTj the difference of the local temperature to the temperature of the heat transfer medium.
Not exchanged heat flow \({\dot{\textit{Q}}}_{\text{nex}}\), resulting in the local temperature rise, is also summed-up segment-wise according to Eq. 5.
where \(\dot{\text{m}}\) represents the total mass flow rate of the reaction mixture, cp the specific heat capacity and ΔTj the temperature difference within one segment.
Finally, the specific heat of reaction Qr is obtained by dividing the total heat flow of the reaction by the total mass flow rate, as shown in formula Eq. 6.
Due to the well-insulated PFR and working at room temperature, heat exchange with the environment was neglected. The absorption of the heat by static mixers and tubes was taken into account by determining the Nu-Pe correlation (Eq. 9) with the same equipment as the determination of the heat of reaction.
The heat transfer coefficient k is obtained by heat transfer models as schematically shown in Fig. 3.
Accurate substance and process data, as the velocity w, inner diameter of the tube Di, specific heat capacity cp, density ρ, viscosity η and thermal conductivity λ of the reaction mixture, are required to calculate the Péclet number Pe and Prandtl number Pr in the inside of the tube as described in Eqs. 7 and 8.
Applying the Nu-Pe correlation (Eq. 9) [15] leads to corresponding Nusselt numbers Nu. Viscosity differences of the core and wall are considered by the quotient of the Pr and PrW numbers.
The Nu number is transformed to the heat transfer coefficient α according to Eq. 10.
The corresponding outer heat transfer coefficient αa is calculated according to the ring-slit-correlations of VDI Wärmeatlas [18]. Together with the wall thickness s, the thermal conductivity of the wall λW and the outer Aa, inner Ai heat transfer surface and averaged to Am, the corresponding overall heat transfer coefficient is obtained as described in Eq. 11.
The heat of reaction out of the reaction enthalpy ΔHr and the concentration cA,0 is calculated according to Eq. 12.
The heat of reaction out of the adiabatic temperature rise ΔTad is calculated as described in Eq. 13.
Results and discussion
The results of continuous reaction calorimetry at milli-scale based on the work of [12] and extended to an efficient, time-saving, non-calibrated approach is shown in this section. The prerequisite for calorimetry without calibration is a heat exchanger characterized with appropriate models.
Temperature profile
Temperature profiles of the fast and exothermic neutralization reaction at 2 M reactant concentrations measured by applying flow rates from 20 to 100 ml min−1 are shown in Fig. 4. The pH-measurements at the tubular reactor outlet confirmed complete neutralization (pH 7.5). Due to the premixer, the reaction immediately started at the beginning of the tubular reactor. This resulted in a temperature maximum at the first temperature measuring point for all flow rates.
The maximum temperature at 20 ml min−1 was significantly lower than at higher flow rates, resulting from the lower local heat production. In general, for safety considerations, it is suggested to screen investigated reactions at different flow rates to identify the maximum temperature and maximum heat generation under flow conditions. The knowledge of the maximum temperature peak gives information about possible initiation of side reactions. Exothermic side reactions can be detected by an increased Qr value, which is not the case for the selective neutralization reaction.
Determination of the heat of reaction
The heat of reaction was determined segment-wise by means of heat balances according to Eqs. 3, 4, 5, 6, 7, 8, 9, 10 and 11. It could be assumed that the total heat determined originated from the neutralization reaction only. Thus, the heat of reaction Qr would more precisely be named as the heat of neutralization. This corresponds to the enthalpy of formation of 1 mol of water and is defined as − 57.4 kJ mol−1 [19]. Using formula Eq. 12, results in 55.3 kJ kg−1 and 106.6 kJ kg−1 for the 2 M and the 4 M solutions, respectively. The measured heats of reaction at different flow rates and concentrations along with the batch and literature values are given in Table 1. Batch experiments match within a maximum deviation of 2%, implying the correct reactant solution concentrations. Regarding the flow measurements, the variation within a measurement series was calculated to ± 10% and ± 12% for the 2 M and 4 M experiments, respectively. Though the mean Qr value was found to differ only 2% and 0.2% from their corresponding literature values. The best accuracy was achieved with a total flow rate of 60 ml min−1, where the percentage deviation from the literature value was 1% for the 2 M experiments and 3% for the 4 M experiments.
Hence, we conclude that the heat transfer model applied in this work (Eq. 9) well predicts the heat of reaction for the investigated neutralization reaction at the applied flow rate range. However, the heats of reaction were slightly overestimated at flow rates below 60 ml min−1 and underestimated at flow rates above 60 ml min−1. The reason for these deviations lies mainly in the description of the heat transfer of the inner space. It was found that the heat transfer model is most robust for a range of Pe numbers from 700 to 800, which was calculated for the experiments at 60 ml min−1. Moreover, the reason for the high accuracy at 60 ml min−1 was attributed to the rheological properties at this operating point. The flow velocity was calculated to be 8 mm s−1, which is in the slowly laminar flow regime (Reynolds number Re = 72 and 49 for the 2 M and the 4 M solutions, respectively) and from experience highly suitable for tubular reactors with static mixers at milli-scale (CSE-X, Di = 12.3 mm).
Evaluation for high viscous solutions
Due to its design, the milli-scale reaction calorimeter is suitable for higher viscous fluids, which is reflected in the low pressure drop. For example with the neutralization reaction mixture in 35 vol% glucose syrup (η = 7.3 mPas) at 80 ml min−1 the pressure drop was calculated to be only 17 mbar. At the beginning of the reaction section, 2 M AcOH in 70 vol% glucose syrup (η = 140 mPas) and 2 M NaOH in water (η = 1.7 mPas) were mixed. Therefore it is likely that stripes of high and low viscous liquids occur in the first section of the calorimeter which could affect the heat transfer. Such non-ideal behavior is addressed in the last term of Eq. 9 (Pr/PrW)0.14 [20]. It describes viscosity differences at the wall and the inner space.
It was found that this factor needs to be considered for high viscous solutions because without considering the viscosity differences, i.e. ηW/η = 1, the mean Qr value (60.9 kJ kg−1) is 20% higher than the literature value (49.8 kJ kg−1). Since the average ratio ηW/η over the entire heat exchanger was not known, the heat of reaction could not be calculated straight forward. However, it was assumed that the neutralization reaction was complete (pH 6, slightly acidic because of glucose) and selective. Therefore, a range of reasonable ηW/η was assumed and the heat of reaction was calculated and compared with the theoretical value (Fig. 5). A maximum ratio of wall viscosity to core viscosity averaged over the reactor of 140:7.3 was chosen, which corresponds to the ratio of the initial viscosity of the glucose solution and the viscosity of the final mixture. The mean Qr value at the maximum viscosity ratio of ηW/η = 19 was calculated to be 44.5 kJ kg−1 which is 10% below the literature value. The best agreement with the theoretical Qr value was at ηW/η = 7 (49.7 kJ kg−1). This finding highlights the relevance of the accurate substance data of the feed as well as of the product solutions for non-calibrated calorimetry.
Factors influencing accuracy
The main influencing factors of the heat-transfer-model-based isoperibolic flow reaction calorimetry are summarized in Fig. 6. It was found that deviations in temperatures have a great influence, while deviations in substance data have a minor influence on the calculated heat of reaction. However, the higher the heat of reaction, the lower the influence of temperature deviations.
In the case of higher viscous liquids or polymerization reactions, viscosity differences or fouling can occur and thus affect the heat transfer model or even reduce the reactor volume due to persistent deposits. Further influencing factors could be feed dosing inaccuracies and mixing limitations. The former was considered by flow-controlled dosing systems and the latter by a premixer (Di = 4.7 mm) at the beginning of the reaction section.
The heat transfer model was found to have a great influence on the calculated heat of reaction. Many similar heat transfer correlations have been applied [11, 21], but the correlation described in Eq. 9 provided the most robust solution for the flow rates, concentrations and viscosities used with the neutralization reaction. The perfect operating point with other fluids and reactions might be at other flow rate ranges. This is one reason why a screening of different flow rates is suggested. A further reason is the safety analysis, as a screening reveals the maximum temperature and the highest possible heat generation in case of a deviation in dosing of the feed solutions. It is particularly relevant for non-selective reactions.
Flow vs. batch calorimetry
The results of the neutralization reaction are compared with the similarly conducted flow calorimetry results described by Mortzfeld et al. [12] (Fig. 7). They carried out lithiation and Li-proton exchange reactions, whose batch references were conducted in a commercially established RC1 batch calorimeter [22]. Moreover, these results were obtained upon a calibration with inert fluids to find the k values. Whereas in this work the k values were calculated according to heat transfer models as described above.
Measuring points on the diagonal represent selective reactions whose Qr values are not influenced by the reactor system or temperature. This applies for the neutralization reaction as well as for the Li-proton exchange. In contrast, the lithiation reaction was found to be non-selective when carried out in semi-batch mode. Due to the long residence time in the tank reactor, exothermic side reactions have been initiated which increased the measured heat of reaction. These side reactions could have been reduced at very low temperatures (− 70 °C) [12]. The fact that the heat of reaction is sensitive to the reactor system and temperature highlights again the importance of flow calorimetry in process development of flow processes.
In order to estimate the operating range of continuous flow calorimetry, a flow factor β is suggested (Eq. 14). Experience has shown that more accurate results are obtained at high heat generation and high flow rates than at low heat generation and low flow rates. The product of both parameters should therefore compensate for the inaccuracies at low flow rates and low heat of reaction. It was found that the β value should be at least 200 for accurate continuous flow calorimetry using the equipment presented herein.
The flow rate in ml min−1 and the adiabatic temperature increase in °C are used. Considering the β flow factor enables calorimetry for processes with high adiabatic temperature rises at correspondingly low flow rates and vice versa. Further, it is suggested to apply flow conditions with Re numbers below 100, since the heat transfer model is best described in that range.
Conclusion and outlook
A continuous reaction calorimeter, similar to that described in [12], was used to determine the heat of reaction. Thereby, it was shown that the heat of reaction of the fast and exothermic neutralization reaction could be determined with the non-calibrated isoperibolic flow calorimeter with a deviation of the mean heats of reaction to literature values of maximum 2%. Highest accuracies were achieved at 60 ml min−1 (w = 8 mm s−1). The Nu-Pe function used to obtain k was successfully applied for the neutralization reaction at different concentrations and viscosities.
In the future, milli-scale flow calorimetry will be merged with the approach of continuous determination of reaction kinetics with the loop reactor as described in Rütti et al. [23]. This allows to determine reaction parameters for a scale-up in a completely continuous way. Furthermore, the reaction calorimeter could be extended with suitable online analytics (e.g. IR or UV spectroscopy) at the outlet to determine the conversion of very slow reactions.
Application fields of this kind of continuous reaction calorimetry are in safety engineering as well as in process development for scale-up of flow chemistry. Regarding the safety analysis, always the worst case, meaning the experiment resulting in the highest temperature peak and greatest heat of reaction, should be considered. Therefore, a screening over a set of flow rates is recommended, which further allows to study the impact of possible dosing errors. The milli-scale flow calorimeter provides therefore a tool for direct scale-up of flow process with similar flow reactors regarding the heat-exchange properties, like the Fluitec tube bundle mixer heat exchanger [13]. This allows to keep the temperature profile constant during scale-up. Overall, the model-based isoperibolic continuous reaction calorimetry offers a fast way to obtain the heat of reaction of flow processes.
Data availability
At Fluitec for the next 10 years.
Code availability
At Fluitec.
Abbreviations
- AcOH:
-
Acetic acid
- H2O:
-
Water
- h. visc.:
-
High viscous
- HTM:
-
Heat transfer medium
- M:
-
Molar
- NaOAc:
-
Sodium acetate
- NaOH:
-
Sodium hydroxide
- PFR:
-
Plug flow reactor
- SD:
-
Standard deviation
- VDI:
-
Verein Deutscher Ingenieure
- α :
-
Heat transfer coefficient [W m−2 K−1]
- α inside, i :
-
Heat transfer coefficient in the tube [W m−2 K−1]
- α outside, a :
-
Heat transfer coefficient in the shell [W m−2 K−1]
- β :
-
Flow factor [ml min−1 °C]
- η :
-
Viscosity [Pa s]
- η W :
-
Viscosity at the wall [Pa s]
- λ :
-
Thermal conductivity [W m−1 K−1]
- λ W :
-
Thermal conductivity of the wall [W m−1 K−1]
- ρ :
-
Density [kg m−3]
- τ :
-
Residence time [s]
- A a :
-
Heat transfer surface at the outside of the tube [m2]
- A i :
-
Heat transfer surface at the inside of the tube [m2]
- A m :
-
Mean heat transfer surface [m2]
- c A,0 :
-
Initial concentration of the limiting reactant A [mol m−3]
- c p :
-
Specific heat capacity [J kg−1 K−1]
- D :
-
Diameter [m]
- D i :
-
Inner diameter [m]
- ΔH r :
-
Reaction enthalpy [J mol−1]
- k :
-
Overall heat transfer coefficient [W m−2 K−1]
- L :
-
Length [m]
- \(\dot{\textit{m}}\) :
-
Mass flow rate [kg s−1]
- Q :
-
Heat [J]
- \({\dot{\textit{Q}}}_{\text{ex}}\) :
-
Exchanged heat flow [W]
- \({\dot{\textit{Q}}}_{\text{nex}}\) :
-
Not exchanged heat flow [W]
- Q r :
-
Specific heat of reaction [J kg−1]
- \({\dot{\textit{Q}}}_{\text{r}}\) :
-
Heat flow of reaction [W]
- s :
-
Wall thickness [m]
- t :
-
Time [s]
- t 1/2 :
-
Reaction half-life [s]
- t mix :
-
Mixing time [s]
- T :
-
Temperature [K]
- ΔT :
-
Temperature difference [K]
- ΔT ad :
-
Adiabatic temperature rise [K]
- V :
-
Volume [m3]
- V void :
-
Void volume [m3]
- \(\dot{\textit{V}}\) :
-
Volume flow rate [m3 s−1]
- w :
-
Flow velocity [m s−1]
- Nu :
-
Nusselt number [-]
- Nu inside :
-
Nusselt number in the tube [-]
- Nu outside :
-
Nusselt number in the shell [-]
- Pe :
-
Péclet number [-]
- Pr :
-
Prandtl number [-]
- Pr W :
-
Prandtl number at the wall [-]
- Re :
-
Reynolds number [-]
References
Zogg A, Stoessel F, Fischer U, Hungerbühler K (2004) Isothermal reaction calorimetry as a tool for kinetic analysis. Thermochim Acta 419:1–17. https://doi.org/10.1016/j.tca.2004.01.015
Sarge SM, Höhne GWH, Hemminger W (2014) Calorimetry: fundamentals, instrumentation and applications. Wiley, Weinheim
Antes J, Gegenheimer M, Krause H, Löbbecke S, Wirker R, Knorr A (2008) Ortsaufgelöste Reaktionskalorimetrie in mikrostrukturierten Reaktoren. Chem Ing Tech 80:1270–1270. https://doi.org/10.1002/cite.200750657
Reichmann F, Millhoff S, Jirmann Y, Kockmann N (2017) Reaction calorimetry for exothermic reactions in plate-type microreactors using seebeck elements. Chem Eng Technol 40:2144–2154. https://doi.org/10.1002/ceat.201700419
Frede TA, Dietz M, Kockmann N (2021) Software-guided microscale flow calorimeter for efficient acquisition of thermokinetic data. J Flow Chem. https://doi.org/10.1007/s41981-021-00145-6
Glotz G, Knoechel DJ, Podmore P, Gruber-Woelfler H, Kappe CO (2017) Reaction calorimetry in microreactor environments—measuring heat of reaction by isothermal heat flux calorimetry. Org Process Res Dev 21:763–770. https://doi.org/10.1021/acs.oprd.7b00092
Maier MC, Leitner M, Kappe CO, Gruber-Woelfler H (2020) A modular 3D printed isothermal heat flow calorimeter for reaction calorimetry in continuous flow. React Chem Eng 5:1410–1420. https://doi.org/10.1039/d0re00122h
Zhang C, Zhang J, Luo G (2020) Kinetics determination of fast exothermic reactions with infrared thermography in a microreactor. J Flow Chem 10:219–226. https://doi.org/10.1007/s41981-019-00071-8
Ładosz A, Kuhnle C, Jensen KF (2020) Characterization of reaction enthalpy and kinetics in a microscale flow platform. React Chem Eng 5:2115–2122. https://doi.org/10.1039/d0re00304b
Laudadio G, Gemoets HPL, Hessel V, Noël T (2017) Flow synthesis of diaryliodonium triflates. J Org Chem 82:11735–11741. https://doi.org/10.1021/acs.joc.7b01346
Dong Z, Wen Z, Zhao F, Kuhn S, Noël T (2021) Scale-up of micro- and milli-reactors: an overview of strategies, design principles and applications. Chem Eng Sci 10:100097. https://doi.org/10.1016/j.cesx.2021.100097
Mortzfeld F, Polenk J, Guélat B, Venturoni F, Schenkel B, Filipponi P (2020) Reaction calorimetry in continuous flow mode: a new approach for the thermal characterization of high energetic and fast reactions. Org Process Res Dev 24:2004–2016. https://doi.org/10.1021/acs.oprd.0c00117
Georg A, Däscher MB (2005) Chemische Reaktionen in Rohrreaktoren und statischen Mischern—Homogenität, Verweilzeitverhalten, Wärmeabfuhr, Auslegung, Anwendungsbeispiele. Chem Ing Tech 77:681–693. https://doi.org/10.1002/cite.200407095
Kockmann N, Thenée P, Fleischer-Trebes C, Laudadio G, Noël T (2017) Safety assessment in development and operation of modular continuous-flow processes. React Chem Eng 2:258–280. https://doi.org/10.1039/C7RE00021A
Georg A, Moser M, Merkel N, Rosasco E, Andreoli S, Hodler M (2020) Kontinuierliches Reaktionskalorimeter. EU Patent 20183838.0 - 1001
Eigen M, De Maeyer L (1955) Untersuchungen über die Kinetik der Neutralisation. I Z für Elektrochem 59:986–993. https://doi.org/10.1002/bbpc.19550591020
Roberge DM, Ducry L, Bieler N, Cretton P, Zimmermann B (2005) Microreactor technology: a revolution for the fine chemical and pharmaceutical industries? Chem Eng Technol 28:318–323. https://doi.org/10.1002/ceat.200407128
Verein Deutscher Ingenieure (2006) VDI-Wärmeatlas, 10th edn. Springer, Berlin
Riedel E, Meyer H-J (2013) Allgemeine und anorganische Chemie, 11th edn. De Gruyter, Berlin
Zlokarnik M (2002) Scale-up in chemical engineering. Wiley, Weinheim
Thakur RK, Vial C, Nigam KDP, Nauman EB, Djelveh G (2003) Static mixers in the process industries—a review. Chem Eng Res Des 81:787–826. https://doi.org/10.1205/026387603322302968
Toledo M (2021) Reaction Calorimeter RC1. https://www.mt.com/int/en/home/products/L1_AutochemProducts/Reaction-Calorimeters-RC1-HFCal/RC1mx-Reaction-Calorimeter.html#overviewpm. Accessed 5 Jun 2021
Rütti DP, Moser M, Georg AG, Spier ES, Meier DM (2021) Kinetic data for continuous processes from liquid-liquid loop reactor experiments. Chem Ing Tech 93:1267–1272. https://doi.org/10.1002/cite.202100005
Acknowledgements
The authors thank the Swiss Government and Innosuisse for their funding and Berthold Schenkel, Francesco Venturoni, Bertrand Guélat, Jutta Polenk, Paolo Filipponi and Frederik Mortzfeld from Novartis Pharma AG for helpful discussions.
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Highlights
• Flow calorimetry was achieved for a fast and selective reaction without the need for calibration
• The mean heat of reaction of the flow screening deviates only about 2% from the literature value
• Low pressure drop in the milli-scale flow reactor allows the use of high viscous process fluids
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Moser, M., Georg, A.G., Steinemann, F.L. et al. Continuous milli-scale reaction calorimeter for direct scale-up of flow chemistry. J Flow Chem 11, 691–699 (2021). https://doi.org/10.1007/s41981-021-00204-y
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DOI: https://doi.org/10.1007/s41981-021-00204-y