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. 2023 Jan 27;56(6):1127–1139. doi: 10.1134/S0040579522060185

Thermal Degradation Characteristic and Kinetic Analysis of the Solid Byproducts Recovered from Vacuum Pressurized/Friction Thermal Sterilization of Hospital Solid Wastes

C Z Yan 1, A M Nzioka 2, Y J Sim 2, V P Meshalkin 3, Y J Kim 2,
PMCID: PMC9880945

Abstract

We investigated the TFSS byproduct’s thermal degradation and kinetic characteristics from hospital waste’s thermal frictional sterilization (TFSS) using isothermal and advanced nonisothermal model formulas. We studied TFSS byproducts degradation characteristics using TGA from room 28 to 1000°C. We used Kissinger, Kissinger–Akahira–Sunose, Flynn–Wall–Ozawa, and advanced Vyazovkin model formulas to derive the activation energies. We also analyzed conventional proximate/ultimate and calorific values. Gross calorific value was 5.730 kcal/kg, followed by a net calorific value of 4.038~4.133 kcal/kg because of the high carbon content, 70% volatile content, 2.6~2.8% moisture and 8~13% fixed carbon content. Nonlinear lateral shift in peak temperatures were observed in the first–third degradation zone, but the nonlinear lateral shift had minimal influence on the Inline graphic values for all temperature rates. Activation energy for Kissinger model was 172.25 kJ/mol. Average activation energy derived using Kissinger–Akahira–Sunose, Flynn–Wall–Ozawa, and advanced Vyazovkin model formulas were 176.65, 177.22, and 177.16 kJ/mol, respectively. Fluctuations in activation energies from Inline graphic for 3 model formulas was because of the disruption of hydrogen bonds and covalently bonded chemicals. Activation energy values had an exponential increase from Inline graphic for three model formulas. Results showed that TFSS process generates heterogeneous byproducts with high calorific values and predictable activation energy values.

Keywords: HSW, thermal frictional sterilization, thermal degradation, isoconversion models, activation energy, advanced isoconverstion models

INTRODUCTION

Current statistics have shown that the emergence of pandemics and related emergencies has increased hospital solid waste (HSW) generation around the world [13]. The COVID-19 pandemic has widened the sources of HSW generation to include residential houses, public facilities, and, in some cases, on the streets [46]. Like many other hazardous wastes in Korea and the People’s Republic of China, hospital solid wastes (HSW) require specialized treatment facilities and use incineration systems on many occasions [7, 8]. However, a sharp increase in the HSW generation has overwhelmed the operations of the existing incineration facilities [2, 9]. The World Health Organization (WHO) published a recent report highlighting the unprecedented situation with pandemic-generated HSW and the urgent need to solve the HSW accumulation issue [10]. Such a situation and prospects of a new pandemic have created an opportunity for other approved HSW treatment systems to complement the current incineration systems to solve the emerging HSW accumulation problem.

WHO has approved several HSW treatment systems that could be used as stand-alone systems or complement the current incineration systems; one is the thermal frictional sterilization system [7, 8]. The thermal frictional sterilization system (TFSS) uses high-speed friction-attrition phenomena at high temperatures (135~150°C) and vacuum conditions to destroy pathogens and biological wastes; the HSW applicable could be infectious or general [7, 8]. Therefore, the HSW fed into the system will be comminuted and sterilized, achieving 75% volume and 25% mass reduction. Italian companies have developed such systems and successfully used them in hospitals with up to 600-bed capacity [7, 8]. Once the TFSS system could be integrated with the incineration system, the HSW treatment process could be decongested and optimized, especially during pandemic situations where HSW treatment time is an essential variable (Fig. 1). Preliminary material flow and cost-benefit analysis show that hospitals that would integrate the HSW treatment systems as shown in Fig. 1 would expect a 30~60% cost saving when 32~51% of material (i.e. TFSS byproduct) is recovered during routine and emergency operation period (Fig. 1).

Fig. 1.

Fig. 1.

Model concept for integrating the incineration systems with the thermal frictional sterilization systems.

The sterilized waste from the TFSS is a calorific byproduct because a greater portion of the HSW contains combustible waste such as plastics, textiles, paper etc. [7, 10, 11]. Preliminary calorimetric analysis from the sample we obtained from one of the treatment systems showed that the TFSS byproduct has enough calorific value to be used as fuel or other thermal conversion processes. Dharmaral et al. [13] highlighted that the HSW could be pyrolyzed into sustainable energy because the dominant component in the HSW is a combustible waste. Thus, since the integrated HSW treatment system model and the respective cost-benefit analyses are under consideration, it would be imperative to determine the thermal kinetic properties of the TFSS byproducts.

Studies and review papers published hitherto have focused on the thermal conversion process of HSW generated during the pandemic because of the high plastic PPE composition [1315]. In other instances, thermal decomposition and kinetic characteristics of HSW or the respective components have been studied, and results presented. Qin et al. [16] studied the thermal degradation and reaction pathways of medical plastic waste, and they used a mixture of PP and PS in medical infusion bags and plastic bottles. The kinetic characteristics derived are based on the model-free methods. Chen et al. [17] used the model-free methods to derive the kinetic characteristics of the surgical mask ropes. Gorbovskiy et al. [18] used the nonisothermal conditions to investigate an open system.

All the HSW or model HSW used in the thermal degradation studies uses raw HSW, representative HSW (mainly plastic), and not a mixture of materials with very different properties. Many hospitals have/have not successfully sorted and classified the HSW into different categories recommended by WHO and the International Committee of the Red Cross because the sorted HSW is based on the nature of contamination [1921]. Therefore, we expect that the resulting HSW will be a mixture of different material components. The TFSS byproduct is a mixture of sterilized solids from plastics, textiles, metals, latex gloves, PPE plastics, paper, etc. For example, the sample we obtained could be a mixture of blood-coated textiles, bandages, cotton yarn, general HSW, etc. Furthermore, the pandemic period might require that the waste be treated and disposed of on an as-it-is basis. Thermal degradation and kinetic studies of TFSS byproducts have not been presented hitherto. Therefore, it would be essential to discover the thermal degradation characteristics of the TFSS byproduct, the impact and dominant mechanism behind the TFSS process.

This study presumed that the TFSS byproducts could undergo independent and simultaneous volatile and char decomposition processes; such degradation mechanisms would be characteristics in a mixture. For example, cotton-based textile will have a higher oxidation onset temperature than single-use plastic-based PPE [22]. Consequently, a 30°C difference in oxidation onset temperature could be observed between uncoated and coated cotton yarn [22, 23]. Therefore, it would be essential to use the conventional model-free and advanced Vyazovkin methods recommended by the ICTAC. The objective of this study will be to describe and discover the thermal degradation characteristic of the TFSS byproducts, which are not known or investigated before. Data obtained from the study will complement existing and future studies in the age of an unprecedented generation of HSW during the pandemic. This manuscript describes the material preparation process, analytical procedure, the kinetic model formulation, and the results emanating from the formulation thereof.

MATERIALS AND METHODS

Material preparation. The sample material (TFSS byproduct) was obtained from one of the thermal frictional sterilization facilities installed. According to the HSW treatment procedure, the HSW generated from the healthcare facility was sorted into recommended categories and subjected to thermal frictional sterilization process at 145°C for 45 min. Later on, the samples were cooled down to room temperature, after which the sample TFSS frictional byproduct was dried. Later on, the sample TFSS byproduct obtained was crushed further using a 4-blade high-speed blender to reduce the particle size to <5 mm. The proximate and ultimate analysis was conducted and the results shown in Table 1. We analyzed moisture content using halogen lamp moisture analyzer (Precisa XM60).

Table 1.  .

Ultimate and Proximate analysis of the TFSS byproduct

Ultimate analysis, %
Carbon Hydrogen Nitrogen Sulfur Oxygen Inert†† Total
51.68 7.68 0.33 0 34.08 6.23 100
Proximate analysis, %
Moisture Volatile Ash content Total
9.41 72.13 18.46 100

†† Obtained by difference.

Calorific value calculation. The sample TFSS could be classified as solid waste, and we determined the gross calorific values using semi-automated oxygen bomb calorimeter developed by IKA (model C 200) fitted with the appropriate propriety decomposition vessel and the oxygen filling stations. We determined the gross calorific value based on ASTM D5468-95 settings. We calculated the net calorific values empirically based on the formulations below [2426]. We used these empirical formulations because they are based on experimentally determined values:

graphic file with name M4.gif 1
graphic file with name M5.gif 2

In the Eqs. (1), (2) above, Inline graphic, Inline graphic, and Inline graphic represents the ash content, moisture content and gross calorific value (kcal/kg) of the TFSS byproduct, respectively.

TGA analysis. We used approximately 100 ± 2 mg TFSS byproduct was used in the TGA analysis. The TFSS byproduct was fluffy and maintained some level of elasticity. Thus, we used a tablet pill die mold (ø7 mm) to modify the shape of the sample TFSS byproduct before placing it into the sample pan. 10 minutes waiting period was observed after placing the sample into the pan to determine if the elastic and fluffy nature of the sample would affect the sample positioning in the sampling pan. Auto-TGA from TA instruments (model Q500) was used in the thermal decomposition process. We used nitrogen gas to create the inert conditions at a flow rate of 50 mL/min. The heating rates were 5, 10, 20, 50, and 90°C/min, and the temperature diapason was from room temperature to 1000°C.

Kinetic characteristics. As mentioned before, the TFSS byproduct contains several materials which could undergo simultaneous solid-state decomposition processes. Therefore, the main deriving equation rate could be derived as follows [27]:

graphic file with name M9.gif 3

In the equation above, T and Inline graphic represents the absolute temperature and the degree of conversion, respectively. Since Inline graphic is the Arrhenius constant, the nth Arrhenius plot could be derived as follows:

graphic file with name M12.gif 4
graphic file with name M13.gif 5

Further derivation of the equation above to formulate the appropriate isoconversion model formulas have been described in many literatures [2830]. This study used the Flynn–Ozawa, Kissinger–Akahira–Sunose and Kissinger model formulas as the conventional model-free isothermal model formulas. The formulas are described in Table 2. In addition, we used the nonisothermal advanced Vyazovkin model formula [31, 32], which is a nonlinear algorithmic model used to complement the model-free methods, especially if and when thermal effect could deviate the sample’s temperature from an expected heating program [33]. Different authors have derived the advanced Vyazovkin model formula from the first principles [3335]. Other researchers have simplified the process by developing software tools for computation [36, 37]. Thus, we used a software tool developed by Drozin et al. [36] to compute the activation energy of the samples at different temperature rates (Inline graphic. We also used the computation module developed by Joseph et al. [37] to compute and compare the activation energies at different conversion factors based on advanced Vyazovkin model.

Table 2.  .

Model-free kinetic model equations used in the analysis

Model Equations
Flynn–Wall–Ozawa Inline graphic
Kissinger–Akahira–Sunose Inline graphic
Kissinger Inline graphic

RESULTS AND DISCUSSION

Calorific values. The gross and net calorific values of the TFSS byproduct are shown in Table 3 and Fig. 2. The gross calorific value (determined experimentally) was approximately 5.730 kcal/kg, which is within the range of many refuse-derived fuels derived from MSW [3739]. We believe that the thermal frictional system was instrumental in sterilization and removal of other compounds which could be impurities and aid calorific loss. Therefore, we concluded that the TFSS byproduct from the reference Hospital components was enough to be used as fuel or for thermochemical conversion. Moreover, the ultimate analysis revealed the presence of carbon and oxygen content as the dominant products and fewer impurities (sulfur and nitrogen-based compounds) from the high-temperature treatment of HSW.

Table 3.  .

Gross and net calorific values of the TFSS byproduct

Particular Deriving formula Value (kcal/kg)
Gross calorific value None (derived using bomb calorimeter) 5730
Net calorific value Inline graphic 4038.25
Inline graphic 4133.05

All the values were computed based on dry material basis.

Fig. 2.

Fig. 2.

Characterization of the calorific values and losses.

The net caloric value was reduced by approximately 1597~1692 kcal/kg based on the formulas used in the calculation; there was a 95 kcal/kg difference between the net calorific values computed using the Ilinykh and ASTM E955 empirical formulas. The differences in the calorific losses due to moisture and ash content are displayed in Fig. 2. As it will be observed, there was a minor difference (51.3 kcal/kg difference) in the calorific value losses from moisture content for the two empirical formulas used (i.e., Ilinykh and ASTM E955). The dominant difference in the calorific value losses was in the ash content (983 kcal/kg difference). Empirical formulas are developed based on several variables and limitations, such as the region, weather seasons, and composition among other entities [38, 39]. We concluded that the calorific value, low moisture and ash content (Table 1) could be useful for thermal processes.

TGA characteristics. The TGA results Figs. 3, 4 and Tables 4, 5 show the thermal decomposition characteristics of the TFSS byproduct at different temperature rates. We observed four distinct zones from the thermal decomposition process, and the first zone was the moisture evaporation zone (Fig. 3, Tables 4, 5). The overall mass loss in the first zone ranged from 2.6~2.8% for all the temperature rates (Inline graphic. The moisture difference between the TGA results and the proximate analysis conducted by the halogen lamp moisture analyzer could be because of the surface characteristics and methodological/instrumental error. The TGA instrument required a far lesser sample (mg level) than the requirements for the halogen lamp moisture analyzer (g level).

Fig. 3.

Fig. 3.

TGA curves of the TFSS byproducts.

Table 4.  .

Analysis of the zone and their respective peaks at different heating rates

Zone Heating rate,
°C/min
Inline graphic, °C DTG, %/min Mass loss, %
Zone 1 5 60.33 –0.0257 1.330
10 68.70 –0.0641 1.335
20 74.38 –0.1141 1.507
30 89.59 –0.1574 1.308
50 85.47 –0.3150 1.013
90 93.72 –0.4641 1.005
Zone 2 5 322.69 –0.6819 33.633
10 336.46 –1.6153 38.335
20 347.29 –2.8573 35.347
30 355.55 –4.5725 36.517
50 363.80 –7.2583 35.190
90 377.73 –12.1326 36.720
Zone 3 5 451.82 –0.4368 68.356
10 465.69 –0.6427 69.630
20 478.33 –1.3977 67.191
30 486.59 –2.1070 68.748
50 492.00 –2.5348 68.181
90 505.94 –5.7811 67.353
Zone 4 5 628.22 –0.0473 80.421
10 654.51 –0.0969 80.214
20 675.41 –0.1683 78.448
30 703.00 –0.3470 80.658
50 703.00 –0.4123 78.863
90 731.90 –0.7227 79.169

Therefore, we expect that the difference and sampling accuracy would have affected the results. Further, the sterilization process results in structural, morphological, and interfacial properties' changes in the HSW [40, 41]. Therefore, we assumed that the resulting interfacial properties could be attractive sites for moisture vapor which could have been instrumental in the increase in the moisture content when analyzing with the halogen lamp moisture analyzer (Table 1). Our day-to-day handling of the TFSS byproducts could have either increased or decreased the moisture content. We observed a nonlinear lateral shift in peak temperature from 60°C at Inline graphic to 93.72°C at Inline graphic. The nonlinear lateral shift in the peak temperature could be because of the evolution of chemically bonded moisture and some volatile compounds. The nonlinear characteristics were also observed in the DTG values (Table 3). The mass losses at each Inline graphic differed either because of the possible structural changes in the TFSS byproduct or on the heterogenenous character of the TFSS byproduct during analysis. The FTSS byproduct is a heterogeneous material generated through partial degradation, melting and granulation.

The second region, associated with the first devolatilization zone, has peak temperatures ranging from 322.69 to 373.73°C for all the Inline graphic used in the analysis (Fig. 4, Tables 4 and 5). This region could be characterized at thermal cracking and decomposition of the solid TFSS byproducts. This zone’s rapid decomposition characteristic was observed because of the decomposition of the volatile carbonaceous compounds generated from the sterilization process. In the first devolatization phase, other processes commence prior to pyrolysis [42]. In light of the TFSS operating conditions (vacuum, high temperature, steam), we assumed that the dominant process in this zone could have been the disruption of the remaining hydrogen bonds and the transport of bonded molecular phase [42, 43]. The bonded molecular phase could have been hemicelluloses remaining after the sterilization process. Furthermore, the ultimate analysis (Table 1) showed that the dominant components in the TFSS byproducts are carbon, oxygen, and hydrogen, and the carbon content is almost similar to the composition presented in other literature [43].

Fig. 4.

Fig. 4.

dα/dT versus T curves at different heating zones.

As mentioned before, sterilization coupled with the high-temperature friction process processes influences the materials' structural, morphological, and interfacial properties. From the reactivity point of view, the thermal degradation process conducted at Inline graphic exhibited higher reactivity relative to the rest of the samples; such an observation could be observed in such case scenarios where heterogeneous mixtures such as municipal solid wastes are tested [26]. The mass losses in this zone’s peak were in the range of 33~38%. We could not establish a correlation between the mass losses with Inline graphic from the first zone and the second zone because of the heterogeneous structure of the material. We observed a lateral shift in the peak temperature and the onset temperature with the increase in Inline graphic (Tables 4 and 5). Of peculiar interest is the Inline graphic versus T in this zone (Fig. 4). We observed similar values (0.01~0.013 min) irrespective of the heating rates (with an exception of Inline graphic) because of the generation of partially molten compounds, disruption of the remaining hydrogen bonds and the transport of bonded molecular phase.

The third zone was considered to be a continuation of the previous zone, and primary degradation of carbonaceous molecules could be characteristic in this zone. Carbonaceous, carbon-based functional compounds and the unreacted noncovalent bonded molecular compounds from the previous zone would be further degraded, leaving fixed carbon. The corresponding mass losses in these zone’s peak were in the range of 67~69%. We could not establish a correlation between the mass losses with Inline graphic. Conversely, we observed a lateral shift in the peak temperature with the increase in Inline graphic (Table 4). The reaction in the second and the third zone could be attributed to the structure of the TFSS byproduct after the thermal frictional sterilization process. The thermal frictional sterilization process embodies the degradation of organic materials from human tissues, partial melting, coating, and granulation of the mixed material to form a brand-new byproduct with calorific value (thanks to the carbon content) that is inert in terms of the sanitary conditions (Fig. 5). Therefore, we expect that part of the degraded organic materials in the HSW that have coated the plastic and textile materials would valorize at an irregular rate from the second and probably in the third zone prior to the degradation of the other carbonaceous compounds in the TFSS byproducts [44]. Also, we expect the valorization composition to be very high as observed in Table 5: the volatile matter (zone 2 + zone 3) was approximately 71~73% of the TFSS byproduct. We observed a lateral shift in the peak temperature and the onset temperature with the increase in Inline graphic (Tables 4 and 5). Also, we observed Inline graphic values in the 0.005/min region for heating rates Inline graphic (Fig. 4). In overall, we considered that the third zone was in part, a continuation of the second zone followed by pyrolysis of the other compounds.

Fig. 5.

Fig. 5.

Thermal frictional sterilization process mechanism.

Table 5.  .

TFSS byproduct’s thermal degradation properties

Inline graphic, °C/min Inline graphic, °C Inline graphic, °C Moisture, % Ash, % Volatile
matter, %
Fixed
carbon,%
5 154.87 657.07 2.605 10.601 73.595 13.199
10 161.82 674.63 2.709 13.793 72.978 10.520
20 180.65 708.43 2.742 16.996 70.264 9.998
30 193.03 731.90 2.690 15.781 72.406 9.123
50 198.45 746.86 2.820 17.647 71.657 7.876
90 208.25 756.66 2.614 17.979 71.356 8.051

The final zone was characterized with the final condensation of the fixed carbon matrix. In this case, the remaining fixed carbon content (Table 5) would dissociate to generate gases. We observed a decrease in the carbon content with an increase in the Inline graphic (Table 5) which could be associated with the diffusion processes associated with the thermal degradation processes. In general, we concluded that the dominant zones were the second and the third zone, where over 70% of the volatile compounds were generated. The TFSS process was inherent in transforming a considerable section of the organic materials and plastic into unified, heterogeneous material with very high volatile content, as shown in Fig. 5 [44]. In the TFSS process, the organic materials in the HSW undergo partial degradation and melting/hydrolysis process in the presence of water vapor, infused into the process, thereby generating the wetting film. The partial degradation is due to the temperature increase from the inbuilt heater and the “thermal catalytic effect” from the friction process [44]. The friction blades in the reaction vessel rotate at very high rpm and comminute the other solid fraction of fibrous and polymeric nature to small fractions. Some solid fractions would partially degrade to form volatile compounds, which would combine with the blends from organic materials to create a kind of film on top of the solid fractions [45]. Thus, we believe the coated solid fractions would have nonlinear degradation characteristics since the coating would not be even on all situations. Furthermore, the fibrous materials have microstructural characteristics which would also play a dominant role in the nonlinear degradation characteristics.

Kinetic description. We observed the necessity to define the crucial kinetic characteristics based on the conventional isothermal and nonisothermal model formulas from the nonlinear characteristics described in the previous section. The results are shown in Figs. 6–8 and Tables 6–8. We observed a similar trend in the activation energy for the four models used (Table 8). First of all, the activation energy derived using the Kissinger model formula was 172.15 kJ/mol which was relatively higher than the rest of the model formula at Inline graphic and the value was similar for all the zones studied (Fig. 6 and Table 8). Activation energy derived using the Flynn wall-Ozawa model formula showed a slight decrease at Inline graphic (151.86 kJ/mol) relative to the Kissinger model followed by a 21.26 kJ/mol increase at Inline graphic.

Fig. 6.

Fig. 6.

Kissinger plot.

Table 6.  .

Linear expression for each α based on Flynn–Wall–Ozawa model

α Inline graphic R 2 E α
0.05 Inline graphic 0.9636 151.86
0.1 Inline graphic 0.9886 173.12
0.15 Inline graphic 0.9916 173.92
0.2 Inline graphic 0.998 161.47
0.25 Inline graphic 0.9949 177.12
0.3 Inline graphic 0.9956 178.47
0.35 Inline graphic 0.9954 179.75
0.4 Inline graphic 0.9943 181.83
0.45 Inline graphic 0.9905 184.22
0.5 Inline graphic 0.9758 190.93
0.55 Inline graphic 0.9941 170.02
0.6 Inline graphic 0.9652 170.38
0.65 Inline graphic 0.9006 168.16
0.7 Inline graphic 0.9527 211.85
0.75 Inline graphic 0.993 324.01
0.8 Inline graphic 0.9903 285.51
0.85 Inline graphic 0.9758 310.46
0.9 Inline graphic 0.8608 291.19

Table 8.  .

Comparison of the activation energies

α Flynn–Wall–Ozawa Kissinger–Akahira–Sunose Kissinger Vyazovkin
0.05 151.86 150.22 172.25 151.31
0.1 173.12 171.78 172.25 172.98
0.15 173.92 172.35 172.25 173.56
0.2 161.47 191.28 172.25 175.07
0.25 177.12 175.37 172.25 176.58
0.3 178.47 176.66 172.25 177.87
0.35 179.75 177.89 172.25 179.15
0.4 181.83 179.97 172.25 181.23
0.45 184.22 182.36 172.25 183.68
0.5 190.93 189.25 172.25 190.70
0.55 170.02 167.13 172.25 186.63
0.6 170.38 167.62 172.25 13.94
0.65 168.16 168.22 172.25 11.50
0.7 211.85 210.95 172.25 137.16
0.75 324.01 328.54 172.25 285.18
0.8 285.51 298.16 172.25 314.28

⟡ The comparison was limited to Inline graphic because of the recommendations provided by Drozin et al. [35]

Fig. 8.

Fig. 8.

Kissinger–Akahira–Sunose plot.

Table 7.  .

Linear expression for each α based on Kissinger–Akahira–Sunose model

α Inline graphic R 2 E α
0.05 Inline graphic 0.9611 150.22
0.1 Inline graphic 0.9877 171.78
0.15 Inline graphic 0.9907 172.35
0.2 Inline graphic 0.8845 191.28
0.25 Inline graphic 0.9945 175.37
0.3 Inline graphic 0.9952 176.66
0.35 Inline graphic 0.9951 177.89
0.4 Inline graphic 0.9939 179.97
0.45 Inline graphic 0.9899 182.36
0.5 Inline graphic 0.9738 189.25
0.55 Inline graphic 0.9966 167.13
0.6 Inline graphic 0.9702 167.62
0.65 Inline graphic 0.9686 168.22
0.7 Inline graphic 0.9477 210.95
0.75 Inline graphic 0.9924 328.54
0.8 Inline graphic 0.9622 298.16
0.85 Inline graphic 0.9765 312.62
0.9 Inline graphic 0.7238 334.62

We observed an upward-downward drift in the activation energies (12.578 kJ/mol standard deviation) in the second and third zone (Inline graphic which could be attributed to continuous generation of volatile products from the TFSS byproducts (Fig. 7, Tables 6, 8). Similar observations were made for the activation energies derived using Kissinger–Akahira–Sunose model formula, where average activation energy of 177.22 kJ/mol was recorded (Inline graphic. We also observed an upward-downward drift in the activation energies (14.0768 kJ/mol standard deviation) in the region Inline graphic, an observation similar to the Flynn–Wall–Ozawa formula. In the region corresponding to Inline graphic, the highest activation energy values were observed in the second zone (Inline graphic) because of the disruption of the remaining hydrogen bonds and the transport of bonded molecular phase, which could have required more activation energy. The peak in activation energies were followed by low activation energy demand (α = 0.1~0.15; (Inline graphic). The possible reason for such upward-downward shift in the activation energies could be attributed to the nature of the coated TFSS byproduct.

Fig. 7.

Fig. 7.

Flynn–Wall–Ozawa plot.

When we analyzed the activation energies derived using the advanced Vyazovkin model, the initial value at α = 0.05 was similar to that obtained from Flynn–Wall–Ozawa and Kissinger–Akahira–Sunose model formulas. We observed an increase from Inline graphic to Inline graphic. Even though there was a sharp decrease at Inline graphic, the overall trend was an exponential increase in the activation energy (upto Inline graphic), a characteristic observed both in the Flynn–Wall–Ozawa and Kissinger–Akahira–Sunose model formulas.

By observing the activation energies from the Inline graphic versus T curves, we could assume that the activation energies will be similar irrespective of the model formula used in the computation. The thermal degradation process had similar characteristics because of the phase transition characteristics in the second and the third zone.

CONCLUSION

Thermal degradation and kinetic parameters of thermal degraration of the TFSS byproduct was investigated using different models according to thermogravimetric data and the following conclusions were made:

1. Gross calorific value was approximately 5.730 kcal.kg and the net calorific values ranges from 4.038~4.133 kcal/kg.

2. Moisture evolution zone had 2.6~2.8% mass loss with a nonlinear lateral shift in the peak temperatures.

3. Onset temperatures increased from 154.87 to 208°C with an increase in temperature rates, while the offset temperature shifted from 657.07 to 756.66°C with an increase in temperature rates.

4. Over 70% volatile matter and 10~17% ash content was observed. The fixed carbon content was approximately 8~13% of the TFSS byproducts.

5. Inline graphic values ranged from 0.008~0.013 min in the second zone, 0.0041~0.0055 min in the third zone and 0.0007~0.013 min in the fourth zone.

6. Average activation energy values was in the 170 KJ/mol range irrespective of the model formula used.

7. Lowest and highest activation energy values we recorded in Inline graphic and Inline graphic respectively.

This study investigated the kinetic characteristics of the TFSS byproducts alone and revealed the essence of understanding the TFSS process and the thermal coating processes that will result in similar activation energy values. Therefore, future studies will look at the mechanism inherent in the TFSS process.

NOTATIONS

TFSS thermal frictional sterilization system
HSW hospital solid wastes
QN net calorific values, kcal/kg
QG gross calorific value, kcal/kg
AS ash content, %
XS moisture content, %
Inline graphic degree of conversion
T temperature, °C
E activation energy, kJ/mol
Inline graphic temperature rates
t time, min

FUNDING INFORMATION

This project research was financed in part by the Study of Comprehensive Treatment and Countermeasures Support Fund (Grant no. BK202012).

CONFLICT OF INTEREST

The authors declare that they have no conflicts of interest.

REFERENCES

  • 1.Thakur V., Sharma S. Assessment of healthcare solid waste management practices for environmental performance: a study of hospitals in Himachal Pradesh, India. Manage. Environ. Qual. 2021;32:612. doi: 10.1108/MEQ-08-2020-0168. [DOI] [Google Scholar]
  • 2.Su M., Wang Q., Li R. How to dispose of medical waste caused by COVID-19? A case study of China. Int. J. Environ. Res. Public Health. 2021;18:12127. doi: 10.3390/ijerph182212127. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Tsai W.T. Analysis of medical waste management and impact analysis of COVID-19 on its generation in Taiwan. Waste Manage. Res. 2021;39:27. doi: 10.1177/0734242X21996803. [DOI] [PubMed] [Google Scholar]
  • 4.Medical waste found dumped in vacant land at Chettipalayam, The Hindu, October 11, 2021, https://www.thehindu.com/news/cities/Coimbatore/ medical-waste-found-dumped-in-vacant-land-at-chettipalayam/article36934945. Accessed June 5, 2022.
  • 5.Kim, J.H., An, J.A.R., Oh, S.J.J., Oh, J., and Lee, J.K., Emerging COVID-19 success story: South Korea learned the lessons of MERS, https://ourworldindata.org/covid-exemplar-south-korea. Accessed June 5, 2022.
  • 6.Das K.P., Sharma D., Saha S., Satapathy B.K. From outbreak of COVID-19 to launching of vaccination drive: Invigorating single-use plastics, mitigation strategies, and way forward. Environ. Sci. Pollut. Res. 2021;28:55811–55845. doi: 10.1007/s11356-021-16025-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.WHO . Overview of Technologies for the Treatment of Infectious and Sharp Waste from Health Care Facilities. Geneva: WHO; 2019. [Google Scholar]
  • 8.UNEP . Compendium of Technologies for Treatment/Destruction of Healthcare Waste. Osaka: UNEP; 2012. [Google Scholar]
  • 9.Wyssusek K.H., Keys M.T., van Zundert A.A.J. Operating room greening initiatives—the old, the new, and the way forward: A narrative review. Waste Manage. Res. 2018;37:3. doi: 10.1177/0734242X18793937. [DOI] [PubMed] [Google Scholar]
  • 10.WHO, Tonnes of COVID-19 Health Care Waste Expose Urgent Need to Improve Waste Management Systems, https://www.who.int/news/item/01-02-2022-tonnes-of-covid-19-health-care-waste-expose-urgent-need-to-improve-waste-management-systems. Accessed July 18, 2022.
  • 11.WHO . Safe Management of Wastes from Healthcare Activities. Geneva: WHO; 2014. [Google Scholar]
  • 12.Altin S., Altin A., Elevli B., Cerit O. Determination of hospital waste composition and disposal methods: A case study. Pol. J. Environ. Stud. 2003;12:251. [Google Scholar]
  • 13.Dharmaraj S., Ashokkumar V., Pandiyan R., Halimatul Munawaroh H.S., Chew K.W., Chen W.H., Ngamcharussrivichai C. Pyrolysis: An effective technique for degradation of COVID-19 medical wastes. Chemosphere. 2021;275:130092. doi: 10.1016/j.chemosphere.2021.130092. [DOI] [PMC free article] [PubMed] [Google Scholar] [Retracted]
  • 14.Purnomo, C.W., Kurniawan, W., and Aziz, M, Technological review on thermochemical conversion of COVID-19-related medical wastes, Resour. Conserv. Recycl., 2021, vol. 167, Article 105429. [DOI] [PMC free article] [PubMed]
  • 15.Suris A.L. The study of various models of the process of thermal treatment of solid waste. Theor. Found. Chem. Eng. 2018;52:234. doi: 10.1134/S0040579518020185. [DOI] [Google Scholar]
  • 16.Qin L., Han J., Zhao B., Wang Y., Chen W., Xing F. Thermal degradation of medical plastic waste by in-situ FTIR, TG-MS and TG-GC/MS coupled analyses. J. Anal. Appl. Pyrolysis. 2018;136:132. doi: 10.1016/j.jaap.2018.10.012. [DOI] [Google Scholar]
  • 17.Chen R., Zhang D., Xu X., Yuan Y. Pyrolysis characteristics, kinetics, thermodynamics and volatile products of waste medical surgical mask rope by thermogravimetry and online thermogravimetry-Fourier transform infrared-mass spectrometry analysis. Fuel. 2021;295:120632. doi: 10.1016/j.fuel.2021.120632. [DOI] [Google Scholar]
  • 18.Gorbovskiy K.G., Kazakov A.I., Norov A.M., Mikhaylichenko A.I. Ammonium nitrate thermal decomposition kinetics under nonisothermal conditions in open system. Theor. Found. Chem. Eng. 2021;55:742. doi: 10.1134/S0040579521040084. [DOI] [Google Scholar]
  • 19.WHO . Management of Solid-Health-Care Waste at Primary Health-Care Centers. A Decision-Making Guide. Geneva: WHO; 2005. [Google Scholar]
  • 20.ICRC . Medical Waste Management. Geneva: ICRC; 2011. [Google Scholar]
  • 21.Yan C.Z., Kim M.G., Hwang H.U., Nzioka A.M., Sim Y.J., Kim Y.J. Adsorption of heavy metals using activated carbon synthesized from the residues of medicinal herbs. Theor. Found. Chem. Eng. 2020;54:973. doi: 10.1134/S0040579520050474. [DOI] [Google Scholar]
  • 22.Emmet M.M., Johnson J.F., Gill P.S., Barrall E.M. A review of textile characterization by thermal analysis. Crit. Rev. Anal. Chem. 1981;10:339–373. doi: 10.1080/10408348108085502. [DOI] [Google Scholar]
  • 23.Forte C., Alongi J., Beduini A., Borsacchi S., Calucci L., Carosio F., Ferruti P., Ranucci E. The thermo-oxidative behavior of cotton coated with an intumescent flame retardant glycine-derived polyamidoamine: A multi-technique study. Polymers. 2021;13:4382. doi: 10.3390/polym13244382. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.ASTM E955–88(2009)e1, Standard test method for thermal characteristics of refuse-derived fuel macrosamples, West Conshohocken, PA: ASTM Int., 2013.
  • 25.Ilinykh, G.V., Evaluation of MSW thermotechnical properties based on its composition, Bull. Perm Natl. Res. Polytech. Univ. Ser. Appl. Ecol. Urban Dev., 2013, vol. 3, p. 125.
  • 26.Ilinykh, G.B. and Sangadzhieva, T.N., Importance of municipal solid waste generation rate, composition and composition and property researches in the waste management system development, Bull. Perm Natl. Res. Polytech. Univ. Ser. Appl. Ecol. Urban Dev., 2012, vol. 2, p. 39.
  • 27.Vyazovkin S., Burnham A.K., Favergeon L., Koga N., Moukhina E., Pérez-Maqueda L.A., Sbirrazzuoli N. ICTAC Kinetics Committee recommendations for analysis of multi-step kinetics. Thermochim. Acta. 2020;689:178597. doi: 10.1016/j.tca.2020.178597. [DOI] [Google Scholar]
  • 28.Nzioka A.M., Kim M.G., Hwang H.U., Kim Y.J. Kinetic study of the thermal decomposition process of municipal solid waste using TGA. Waste Biomass Valorization. 2019;10:1679. doi: 10.1007/s12649-017-0183-8. [DOI] [Google Scholar]
  • 29.Hwang H.U., Kim M.G., Nzioka A.M., Kim Y.J., Tahir I.K., Yan C.Z. Kinetic characteristics in pyrolysis of RPF with additives. J. Wuhan Univ. Technol. Mater. Sci. Ed. 2016;31:1144. doi: 10.1007/s11595-016-1503-8. [DOI] [Google Scholar]
  • 30.Mohammed, K.A. and Adewole, J.K., Compositional analysis of date pit using thermal gravimetric analysis, Waste Biomass Valorization, 2022. 10.1007/s12649-022-01780-3
  • 31.Sbirrazzuoli, N., Advanced isoconversional kinetic analysis for the elucidation of complex reaction mechanisms: A new method for the identification of rate-limiting steps, Molecules, vol. 24, no. 9, p. 1683. [DOI] [PMC free article] [PubMed]
  • 32.Mianowski, A., Sciazko, M. and Radko, T., Vyazovkin’s isoconversional method as a universal approach, Thermochim. Acta, vol. 696, Article 178822.
  • 33.Vyazovkin S. Advanced isoconversional method. J. Therm. Anal. 1997;49:1493. doi: 10.1007/BF01983708. [DOI] [Google Scholar]
  • 34.Carpier, Y., Alia, A., Vieille, B., and Barbe, F., Experiments based analysis of thermal decomposition kinetics model: Case of carbon fibers PolyPhenylene Sulfide composites, Polym. Degrad. Stab., 2021, vol. 186, Article 109525.
  • 35.Drozin D., Sozykin S., Ivanova N., Olenchikova T., Krupnova T., Krupina N., Avdin V. Kinetic calculation: Software tool for determining the kinetic parameters of the thermal decomposition process using the Vyazovkin Method. SoftwareX. 2020;11:100359. doi: 10.1016/j.softx.2019.100359. [DOI] [Google Scholar]
  • 36.Joseph A., Bernardes C.E.S., Druzhinina A.I., Varushchenko R.M., Nguyen T.Y., Emmerling F., Yuan L., Dupray V., Coquerel G., da Piedade M.E.M. Polymorphic phase transition in 4′-hydroxyacetophenone: Equilibrium temperature, kinetic barrier, and the relative stability of Z′ = 1 and Z′ = 2 forms. Cryst. Growth Des. 2017;17:1918. doi: 10.1021/acs.cgd.6b01876. [DOI] [Google Scholar]
  • 37.Dianda, P., Mahidin, and Munawar, E., Production and characterization refuse derived fuel (RDF) from high organic and moisture contents of municipal solid waste (MSW), IOP Conf. Ser.: Mater. Sci. Eng., 2018, vol. 334, Article 012035.
  • 38.Nzioka A.M., Hwang H.U., Kim M.G., Yan C.Z., Lee C.S., Kim Y.J. Effect of storage conditions on the calorific value of municipal solid waste. Waste Manage. Res. 2017;35:863. doi: 10.1177/0734242X17715100. [DOI] [PubMed] [Google Scholar]
  • 39.Castrillón L., Fernández-Nava Y., González A., Marañón E. A case study of the characteristics of municipal solid waste in Asturias (Spain): Influence of season and source. Waste Manage. Res. 2013;31:428. doi: 10.1177/0734242X12465463. [DOI] [PubMed] [Google Scholar]
  • 40.Baldin E.K.K., Malfatti C.F., Rodói V., Brandalise R.N. Effect of sterilization on the properties of a bioactive hybrid coating containing hydroxyapatite. Adv. Mater. Sci. Eng. 2019;2019:1. doi: 10.1155/2019/8593193. [DOI] [Google Scholar]
  • 41.Ahmed M., Punshon G., Darbyshire A., Seifalian A.M. Effects of sterilization treatments on bulk and surface properties of nanocomposite biomaterials, J. Biomed. Mater. Res. Part B. 2013;101:1182. doi: 10.1002/jbm.b.32928. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Arenillas A., Rubiera F., Pevida C., Pis J.J. A comparison of different methods for predicting coal devolatilisation kinetics. J. Anal. Appl. Pyrolysis. 2001;58–59:685. doi: 10.1016/S0165-2370(00)00183-2. [DOI] [Google Scholar]
  • 43.Carrier M., Windt M., Ziegler B., Appelt J., Saake B., Meier D., Bridgwater A. Quantitative insights into the fast pyrolysis of extracted cellulose, hemicelluloses, and lignin. ChemSusChem. 2017;10:3212. doi: 10.1002/cssc.201700984. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Colla, L., EPO Patent WO 02/068135 A1, 2002.

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