Received:September 25, 2024
Accepted: March 03, 2025
Available: April 11, 2025
The disk stack centrifuge is an equipment widely used in the current biotechnological industry because of the multiple advantages it offers, the most important being its high operational flexibility, robustness, and processing speed. The objective of this research was to evaluate whether a semi-continuous disk stack centrifuge can be used to harvest Tsukamurella paurometabola strain C-924 cells, the active ingredient of the ecological bionematicide HeberNem®, to replace the tubular centrifuges currently used. The methodology used consisted of the development of a type 23 factorial statistical design, in which three input parameters were considered: feed rate [Qalim], wet weight of the diluted cell suspension to be centrifuged [PHalim], and time between discharges [tdesc]. The output parameters considered were wet weight of concentrated biomass [PHbio] and recovery percentage [ %Rec], which must have values greater than 600 g/L and 95 %, respectively, to obtain a corresponding final yield with the quality standards established for this biotechnological product. The results obtained were that the average values for PHbio and %Rec were 657.28 g/L and 97.43 %, respectively, which met the quality standards for this stage. The experimental design was optimized to determine the optimal values for the three input parameters, thus obtaining the following values: 64 L/h for Qalim, 176 g/L for PHalim, and a tdesc of 5 min. The semi-continuous disk stack centrifuge evaluated can be successfully implemented in the harvest step of the HeberNemÒ production process, thus replacing the tubular centrifuges currently employed. The statistical-mathematical programs Statgraphics Centurion® XV.II, Microsoft Excel®, and MATLAB® v7.0.1 were used for data and results processing.
Keywords: Bioengineering, industry applications, materials processing, performance evaluation, production equipment.
La centrífuga de discos constituye un equipo ampliamente utilizado en la industria biotecnológica actual, a causa de las múltiples ventajas que ofrece, siendo las más importantes su elevada flexibilidad operacional, robustez y velocidad de procesamiento. El objetivo de esta investigación fue el de evaluar si una centrífuga de discos del tipo semicontinua puede ser empleada para cosechar células de Tsukamurella paurometabola cepa C-924. principio activo del bionematicida ecológico HeberNem-S®, en sustitución de las centrífugas tubulares utilizadas en la actualidad. La metodología usada consistió en el desarrollo de un diseño estadístico factorial del tipo 23, en el cual se tomaron en cuenta tres parámetros de entrada: caudal de alimentación [Qalim], peso húmedo de la suspensión celular diluida a centrifugar [PHalim], y tiempo entre descargas [tdesc]. Los parámetros de salida tomados en cuenta fueron: peso húmedo de la biomasa concentrada [PHbio] y el porcentaje de recobrado [%Rec], los cuales deben presentar valores superiores a 600 g/L y 95 %, respectivamente, para obtener un rendimiento final acorde con las normas de calidad establecidas para este producto biotecnológico. Los resultados obtenidos fueron que los valores promedios para PHbio y %Rec fueron de 657.28 g/L y 97.43 %, respectivamente, los cuales cumplieron con las normas de calidad para esta etapa. El diseño experimental se optimizó para determinar los valores óptimos para los 3 parámetros de entrada, obteniéndose los siguientes valores: 64 L/h para Qalim, 176 g/L para PHalim y 5 min de tdesc. La centrífuga de discos semicontinua evaluada puede ser implementada satisfactoriamente en la etapa de cosecha del proceso de producción de HeberNemÒ, reemplazando por tanto las centrífugas tubulares actualmente empleadas. Se emplearon los programas estadístico-matemáticos Statgraphics Centurion® XV.II, Microsoft Excel® y MATLAB® v. 7.0.1 para el procesamiento de los datos y resultados.
Palabras clave: Bioingeniería, aplicaciones industriales, procesamiento de materiales, evaluación del desempeño, equipamiento de producción.
In the current biotechnology industry, the harvesting stage plays a very important role both in the overall economics of the process and in obtaining products with the desired quality parameters
It is important to note that the efficiency of the centrifuge during the harvesting stage directly affects the efficiency, quality, and performance of subsequent separation/purification operations (microfiltration, ultrafiltration, etc.), which translates into an increment or reduction in the quantity and quality of the final product, as well as the costs involved in the overall process
For this reason, it is imperative to characterize and evaluate the main operational and process parameters of a centrifuge before using it in a particular application. Currently, the most commonly used types of centrifuges in the biotechnology industry are the disk-stack centrifuge and the tubular centrifuge
A disk-stack centrifuge efficiently separates solids and one or two liquid phases in a single, uninterrupted process by generating exceptionally high centrifugal forces. These forces push the heavier solids toward the rotor’s inner surface, directing them into a designated specific settling zone, from which they can be extracted either continuously or intermittently through ejection.
The clarified, lower-density liquid phase, meanwhile, forms concentric inner layers and is removed close to the axis of rotation of the equipment in an area at the top of the rotor. The insertion of special plates (disks) provides a high settling surface, which contributes to considerably speeding up the separation process. It is the special configuration, shape and design of the disks that allows a disk-stack centrifuge to be used in a wide variety of industrial applications, from biomass concentration and enzyme recovery in the biotechnology industry, to the separation of oils and fats in the petrochemical industry.
The intermittent discharge imparted by a disk-stack centrifuge allows for the efficient removal of cells (biomass) and large cellular debris in a semi-continuous operation. Nevertheless, the main drawback of this centrifuge is that, in many designs, the cells enter the centrifuge through a feeding area where high levels of shear stresses exist, which can damage shear-sensitive mammalian cells, leading to the production of sub-micron particles that are transported to the supernatant
Several studies have been carried out to determine the feasibility of using a disk-stack centrifuge in a given industrial application. For example, in
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HeberNemÒ is a biological product effective in the control of nematodes of different species and genera (Meloidogyne spp, Radopholus similis and Pratylenchus spp) through the production of hydrogen sulfur and chitinases, which affects the eggs and larvae of the nematodes. In case of the eggs, it debilitates its external layer, thus originating vacuoles inside the eggs that alter the embryogenesis process, while in larvae similar effects occur regarding the formation of internal gaseous vacuoles, together with damages in the cuticle. The active ingredient of HeberNemÒ is the Gram-positive bacterium Tsukamurella paurometabola strain C-924 isolated from the soil.
A study confirmed that this bacterium promotes the colonization of lettuce roots, and thus the lettuce growth, together with the arbuscular mycorrhizal fungi Glomus fasciculatum and Glomus clarum
At present, Tsukamurella paurometabola C-924 bacterium is produced and formulated so that the microorganism retains its viability and nematicidal properties, while the bionematicide HeberNemÒ is currently produced in two presentations, liquid (HeberNem-LÒ) and solid (HeberNem-S®) through a submerged diauxic fermentation process using a substrate rich in yeast extract and sucrose
The production process for the HeberNem-S® bionematicide has an intermediate harvest-recovery stage in which two tubular centrifuges (CEPA®, model Z81) are currently used to separate and concentrate the cells of the Tsukamurella paurometabola bacterium contained in the cell broth after the fermentation stage has finished. However, to centrifuge an average fermentation volume of 180 L of cell culture, a work shift of approximately 12-18 h must be carried out, using two operators.
There is currently an ongoing investment process which consists of the erection of a new HeberNem-S® production plant where the final fermentation volume will be 1 000 L of cell culture per batch. Under these conditions, the centrifugation operation, if the 2 tubular centrifuges were used, would have a total time of around 68 to 78 h using at least 3 work shifts with 2 operators each, which is inadequate for the process both from the economic point of view and for the quality and integrity of the final product.
During the design of the new plant, the possibility of using a disk-stack centrifuge to carry out the harvesting-recovery stage was studied and proposed, which could replace its tubular counterparts in order to obtain a more appropriate operating regime in accordance with the increment of production capacity and the real productive characteristics of the new industrial plant, that is, to increase the speed and efficiency of this important stage. Therefore, there is a need to replace these tubular centrifuges with faster, flexible, robust centrifugation technology like the disk-stack centrifuge.
Previous studies carried out at pilot scale related to the centrifugation of the bacterium Tsukamurella paurometabola strain C-924 by means of a disk-stack centrifuge, yielded satisfactory results in terms of percentage recovery, final concentration of concentrated biomass and total centrifugation time, indicating the real feasibility of using disk-stack centrifugation technology during the harvest-recovery stage of the HeberNem-S® production process.
In this context, in this work a semi-continuous, clarifying disk-stack centrifuge was evaluated in order to know if it can be used during the industrial-scale harvest-recovery stage of the Tsukamurella paurometabola strain C-924 bacterium, corresponding to the production process of the ecological bionematicide HeberNem-S®, with the aim of replacing the tubular centrifuges currently used and without affecting the main performance parameters of the process, that is, wet weight of the concentrated biomass and percentage recovery, whose values must be higher than 600 g/L and 95 % respectively, in accordance with the quality standards established for this production process. The performance results obtained in this study for this disk-stack centrifuge will enable its introduction or not in the new HeberNem-S® industrial-capacity production plant, perhaps bringing with it a reduction in harvest time, higher yields of the final product and an increase in the operational flexibility and robustness of the process.
The evaluated disk-stack centrifuge (Alfa Laval®, model BTPX 205SGD-34CDP-60) is a semi-continuous and clarifying type, whose main operational and construction characteristics are shown in Table 1.
Parameter | Value |
| Maximum feed flowrate | 12 000 L/h |
| Maximum feed flowrate during discharges | 100 – 500 L/h |
| Outlet flowrate of concentrated solids for a feed flowrate of 150 L/h and a time between discharges of 2 to 10 min. | ~ 1 L/discharge |
| Water consumption for rotor washing | 0.5 – 1 L |
| Total volume of rotor | 3.1 L |
| Total volume for solids sedimentation | 1.2 L |
| Angle of disks | 40º |
| Number of disks | 80 |
| Motor power consumption | 6.5 kW |
| Rotational speed of motor | 3 000 rpm |
| Rotational speed of rotor | 9 650 rpm |
| Water consumption (discharge) | 0.5 L/discharge |
| Water consumption (replacement) | < 3 L/h |
| Water consumption (axial seal) | 60 – 100 L/h |
To evaluate the operational performance of the proposed disk-stack centrifuge, the following independent parameters were taken into account:
The experimental process applied in this work consisted of the elaboration of a 23 factorial design involving the three independent parameters described above [Qfeed, PHfeed and tdis] while two output parameters were assessed: wet weight of the concentrated biomass [PHbio] and recovery percentage [ %Rec]. Firstly, the peristaltic feed pump was calibrated. Next, the values of the three independent variables were applied to the disk-stack centrifuge depending on the factorial design implemented, and the two output parameters PHbio and %Rec were measured. Besides, the volume of concentrated biomass per discharge was also computed. Afterward, the values obtained for the two output parameters were statistically processed and analyzed, while two equations were obtained which related the output parameters PHbio and %Rec with the three independent variables. Lastly, the statistical optimization of the operational input parameters was carried out to know its projected values in order to maximize PHbio and %Rec.
The selected factorial design was of type 23, where eight experimental runs were obtained by randomly alternating the values of each of the three independent parameters selected. In general, the feed flow ranged between 30 - 66.6 L/h, the wet weight between 114.75 - 203 g/L, while the time between discharges was 4 or 5 min. These ranges were taken from recommendations made in previous studies carried out on a pilot scale consisting of the harvesting of the same bacteria by means of a disk-stack centrifuge. Table 2 shows the values generated by the chosen factorial design, as well as the order followed by each of the experimental runs.
Run | Feed flowrate [Qfeed] (L/h) | Feed wet weight [PHfeed] (g/L) | Time between discharges [tdis] (min) |
1 | 30.6 | 203.00 | 5 |
2 | 52.4 | 175.00 | 4 |
3 | 52.4 | 176.25 | 5 |
4 | 66.6 | 146.25 | 4 |
5 | 48.8 | 135.00 | 5 |
6 | 54.8 | 187.00 | 5 |
7 | 40.0 | 158.25 | 4 |
8 | 42.4 | 114.75 | 4 |
Certain quantities of the final product HeberNem-S® powder were used, which was rejected due to low viability. It was resuspended in purified water until reaching the desired PHfeed values according to the values proposed by the established experimental design.
The diluted cell broth was fed to the disk-stack centrifuge using a peristaltic pump (Watson-Marlow®, model 604 U/R), and the discharge flow was calibrated as follows: A silicone hose was placed on the head of the peristaltic pump, securing it to the inlet and outlet closures of the equipment. Next, the suction end of the hose was placed inside a 2 L beaker containing this volume of process water. The potentiometer of the peristaltic pump was then moved from the “O” position to the chosen rpm position, in order to have a continuous discharge flowrate. The end of the hose was then placed inside a 1 L plastic test tube, and the volume of process water collected in this test tube at the outlet of the peristaltic pump was recorded over the course of 1 min. This procedure was executed in triplicate, while the positions of the peristaltic pump potentiometer were selected from 15 rpm to 40 rpm with an incremental scale of 5 rpm. Finally, the discharge flowrate values were averaged for each point of the selected potentiometer, and the data were graphed using MATLAB® 7.0.1 software, where the values of rpm applied according to the position of the potentiometer established in the peristaltic pump are on the abscissa axis, while the obtained discharge flowrate values are placed on the ordinate axis. Figure 1 shows the calibration curve obtained for the discharge flowrate of the evaluated peristaltic pump, also presenting the adjusted polynomial equation of 3rd order.
The cell concentration (in g/L) of the main streams involved in the centrifugation process, i.e., feed culture and concentrated biomass, was determined using the wet weight method, which is described below. Four 1.5 mL plastic vials were taken, identified with different digits or letters, and weighed on an analytical scale (Sartorius®) to the last decimal place, recording the weight value of each one in a document prepared for this purpose. 1 mL of the sample of the stream to be analyzed were taken with a P-1000 micropipette (Gilson Pipetman®) and poured into each vial. The four vials containing the sample were then placed in a laboratory centrifuge (Eppendorf®) and centrifuged for 10 min at 14 000 rpm. Once the centrifugation time elapsed, the vials were carefully removed from the centrifuge, uncapped, and the supernatant was decanted into a liquid biological waste container, which was treated according to the approved procedure. The interior walls of each vial containing the sedimented biomass were then dried using small strips of filter paper, and then the four vials were weighed on an analytical scale (Sartorius®), recording the weighing result in a document provided for this purpose. The difference in weight between the vial after centrifugation and the empty vial was determined using (1). The wet weight of the sample taken was calculated by means of (2).
\[ \text{Difference in weight} = \text{Weight of vial with biomass} - \text{Weight empty vial} \tag{1} \]
\[ \text{Wet weight sample} = \frac{[(DW1 + DW2 + DW3 + DW4) \cdot 1000]}{4} \tag{2} \]
In this wet weight determination procedure, it is indicated that, when performing wet weight calculations, a subtraction is made between the highest and lowest values calculated using (2), in order to accept or reject the calculations as shown in Table 3:
Wet weights (g/L) | Acceptance limits |
≤ 50 g/L | Up to 5 g/L of difference |
Between 50 g/L y 200 g/L | Up to 10 g/L of difference |
> 200 g/L | Up to 15 g /L of difference |
If the difference between the determinations is outside the acceptance limits set out in Table 3, the determination test is repeated, recording the values of the new wet weight determination in the document provided for this purpose.
To determine the volume of concentrated biomass per discharge (Vbio/dis), a graduated cylinder with a total volume of 2 L was used, with a precision of 1 mL, which was inserted into the outlet of the concentrated biomass discharge pipe of the disk-stack centrifuge (See Figure 2). Five samples of Vbio/dis were taken for each experimental run performed, which were then averaged to obtain the final value of this parameter.
During all the experimental runs carried out, the discharge duration time, which consists of the sum of the rotor opening and closing times, plus the time that the open rotor takes to discharge the concentrated biomass, was set at 15 s (See Table 4) according to values reported in
Parameter | Value (s) |
Time to completely open the rotor | 4 |
Time that lasts the opened rotor | 5 |
Time to completely close he rotor | 6 |
Total | 15 |
The recovery percentage was determined according to (3) for each of the experimental runs performed.
\[ \%Rec = \frac{(PH_{bio} \cdot V_{bio})}{(PH_{feed} \cdot V_{feed})} \tag{3} \]
Where 𝑃𝐻𝑏𝑖𝑜 is the final wet weight of concentrated biomass (g/L), 𝑉𝑏𝑖𝑜 is the final total volume of concentrated biomass obtained (g/L), 𝑃𝐻𝑓𝑒𝑒𝑑 is the initial wet weight of diluted cell culture before centrifugation (fed) (g/L), and 𝑉𝑓𝑒𝑒𝑑 is the initial total volume of diluted cell culture before centrifugation (L). This parameter is a measure of the amount of biomass recovered from an initial value of the same and measures the real efficiency of any recovery operation used in a biotechnological process that involves centrifugation.
In order to statistically analyze and validate the data obtained for each of the response parameters considered in the experimental design, that is: wet weight of the concentrated biomass (PHbio) and % recovery (%Rec), as well as to carry out the optimization of the operational input parameters (feed flowrate, wet weight of the feed and time between discharges), the statistical package Statgraphics Centurion® XV.II was used. Among the statistical options used in this study, which are contained in this program, are:
Table 5 shows the results for the wet weight of concentrated biomass (PHbio) and % recovery (%Rec) for each of the experimental runs performed, as well as other parameters of interest such as total volume of diluted culture fed (Vfeed), volume of concentrated biomass per discharge (Vbio/dis) and total centrifugation time (tcentrif).
Run | Inlet | Outlet |
||||||
Qfeed (L/h) | PHfeed (g/L) | tdis (min) | Vfeed (L) | PHbio (g/L) | %Rec | Vbio / dis. (L) | tcentrif (h) |
|
1 | 30.6 | 203.00 | 5 | 58 | 678.50 | 97.23 | 0.90 | 1.89 |
2 | 52.4 | 175.00 | 4 | 60 | 613.75 | 93.47 | 0.96 | 1.14 |
3 | 52.4 | 176.25 | 5 | 56 | 700.75 | 98.54 | 0.85 | 1.07 |
4 | 66.6 | 146.25 | 4 | 62 | 687.25 | 99.36 | 0.88 | 0.93 |
5 | 48.8 | 135.00 | 5 | 55 | 674.75 | 98.61 | 0.92 | 1.13 |
6 | 54.8 | 187.00 | 5 | 58 | 748.50 | 97.40 | 0.78 | 1.06 |
7 | 40.0 | 158.25 | 4 | 59 | 564.25 | 96.27 | 1.10 | 1.48 |
8 | 42.4 | 114.75 | 4 | 61 | 590.50 | 98.56 | 1.00 | 1.44 |
Average | 48.5 | 161.94 | 5 | 59 | 657.28 | 97.43 | 0.92 | 1.26 |
According to the literature
According to the results shown in Table 5, the lowest PHbio value obtained (564.25 g/L) corresponded to run No. 7. This run presents the fourth lowest feed wet weight (158.25 g/L), the second lowest feed flow (40 L/h) and the lowest time between discharges (4 min). In this case, since the feed flowrate is small, either an increase in the time between discharges or an increase in the concentration of solids (biomass) in the liquid to be centrifuged is required, in order to accumulate and concentrate the cells until reaching the desired final concentration value (> 600 g/L). It is noteworthy that in run No. 1 the feed flowrate is 23.5 % lower than that used in run No. 7, while the concentration of the culture to be centrifuged used in this run is 22 % higher than that used in run No. 7, also presenting a longer time between discharges (5 min). All this made it possible for the PHbio value obtained in run No. 1 to be about 1.2 times higher than that of run No. 7 (Figure 4).
On the other hand, when comparing the values obtained for runs 3 and 6, in which the same value of time between discharges (5 min) was used, and the values of the feed flowrate approximately equal to each other (52.4 L/h and 54.8 L/h for runs 3 and 6, respectively), but with a difference in the wet weight of the feed liquid of approximately 11 g/L (176.25 g/L and 187 g/L for runs 3 and 6, respectively), a difference in the wet weight of the discharge of almost 50 g/L is obtained (700.75 g/L and 748.5 g/L for runs 3 and 6, respectively) (See Figure 5). This indicates that, for approximately equal values of Qfeed and tdis, an increase in the concentration of solids in the liquid to be centrifuged (PHfeed) will cause an increase in the concentration of biomass in the discharge (PHbio).
Comparing the results obtained in runs 1 and 5, it can be observed that the Qfeed of run No. 1 is 37.3 % lower than that of run No. 5, while the PHfeed used in run No. 5 is approximately 33.5 % lower than that of No. 1. In both runs, tdis is kept constant, with a value equal to 5 min. However, for these operating conditions, PHbio values were obtained with a difference of only 3.75 g/L between them (See Figure 6 The above shows that, to obtain the same PHbio results, with an increase in PHfeed, Qfeed must be reduced, keeping tdis constant.
Regarding the results obtained for runs 2 and 3, it can be observed that the feed flowrate conditions for both runs are identical (52.4 L/h), as well as the input wet weight values (they only have a difference between them of 1.25 g/L), while the time between discharges was modified by 1 min (4 min in run No. 2, and 5 min in run No. 3), which was sufficient to obtain PHbio values between both runs with a difference of 87 g/L (See Figure 7).
The above is due to the fact that in run 3 the residence time of the biomass within the solids sedimentation zone of the equipment increased, thus enabling a greater quantity of this product to accumulate with the subsequent increase in its concentration. Therefore, it follows from the above that, keeping both the feed flow and the initial concentration of the culture to be centrifuged constant, the increase in the time between discharges will bring about an increase in the concentration of biomass in the discharge. This can be observed in all those runs where the time between discharges applied is the maximum possible (5 min), independently of the values presented by the remaining independent parameters. 66.7 % of the PHbio values obtained above 600 g/L correspond to times between discharges of 5 min, which corroborates the previous conclusion. These results agree with that reported by
Analyzing the results obtained in runs 2 and 4 where equal times between discharges were applied for both runs (4 min), it can be observed that the concentration of the culture to be fed used in run No. 4 is 16.4 % lower than that used in No. 2. while the feed flowrate of run No. 4 is 21 % higher than that used in No. 2. In this case, the PHbio value obtained in run No. 4 was 73.5 g/L higher than that achieved in No. 2 (See Figure 8). This result shows that Qfeed significantly influences the PHbio value obtained in a centrifugation process using clarifying disc centrifuges. It should also be recognized that the feed flowrate used in run No. 4 (66.6 L/h) had the highest value of all those used during the experiment, which is very close to the statistical optimum obtained (63.9 L/h).
The important influence that the feed flowrate has on the biomass concentration to be obtained can also be observed by comparing the results obtained in runs No. 7 and 8, where run No. 8 had a pHfeed value almost 1.4 times lower than that used in run No. 7, however, its feed flowrate rate is only 2.4 L/h higher than that applied in run No. 7. The time between discharges remained constant for both runs (4 min). Under these operational conditions, the PHbio result obtained for run No. 8 was 26.25 g/L higher than the value of this parameter obtained for run No. 7. That is, the run that had the highest feed flow rate while keeping the tdis parameter constant obtained the highest biomass concentration at the outlet (Figure 9). This coincides with what was reported by
Finally, analyzing the results obtained for runs No. 4 and 5, it can be observed that for an approximately constant initial concentration (the difference in wet weight of input between both runs is only 11.33 g/L), the decrease in the time between discharges for run No. 4 (4 min) with respect to that used in No. 5 (5 min) was balanced by an increase in its inlet flowrate (66.6 L/h) compared to that of run 5 (48.8 L/h), obtaining PHbio values with a difference between them of only 12.5 g/L. (see Figure 10). This indicates that, to obtain a similar value of PHbio, if the time between discharges is reduced, the feed flow rate must be increased while keeping the wet weight of the feed constant. In all runs, the wet weight value of concentrated biomass was above 560 g/L, obtaining an average value of 657.28 g/L for this parameter.
According to Table 5, the highest recovery percentage value (99.36 %) was achieved in run 4 for the highest feed flowrate (66.6 L/h), the third lowest wet weight value of the feed (146.25 g/L) and the shortest discharge time (4 min). On the other hand, the lowest % Rec value (93.47 %) was achieved in run 2 for the third highest feed flowrate (52.4 L/h), the fourth highest wet weight value of the feed (175.00 g/L) and the shortest time between discharges (4 min). In all runs the %Rec value was above 92 %, with an average value of 97.43 %.
Consistent with the results shown in Table 5 and Figure 11 there is an inversely proportional relationship between PHbio and the volume of biomass obtained per discharge (Vbio/dis).
In this case, the higher the average wet weight (concentration) of the biomass at the centrifuge outlet, the lower the volume of concentrated biomass that will be obtained for each discharge performed. This has to do with the operational conditions established for each experimental run in question, which in turn influences the degree of compaction and dehydration experienced by the biomass as it accumulates in the solid’s accumulation space within the centrifuge rotor, as well as its residence time inside the equipment. The longer the residence time (accumulation) of the solids (cells) inside the equipment (i.e., the longer the time between discharges), the greater the degree of compaction and dehydration they will undergo, since the cells that sediment put pressure on those already accumulated (or sedimented) within the solids accumulation space of the equipment, which causes the water contained within the accumulated biomass to escape to the outside. This is a phenomenon that some authors
Below are the statistical results obtained for the parameters wet weight of concentrated biomass (PHbio) and percentage of recovery (%Rec), using the statistical software Statgraphics Centurion® XVII.
Table 6 shows the summary of the statistical results obtained, Table 7 presents the estimated effects between the variables, Table 8 the analysis of variance, Table 9 the regression coefficients and Table 10 the canonical correlations for the variable wet weight of concentrated biomass (PHbio).
Parameter | Value |
Count | 8 |
Average | 657.281 |
Standard deviation | 61.9602 |
Coefficient of variation | 9.42673 % |
Minimum | 564.25 |
Maximum | 748.50 |
Range | 184.25 |
Standardized skewness | - 0.279732 |
Standardized kurtosis | - 0.514947 |
F-ratio | 5.49 |
P-value | 0.0668 |
Effect | Estimate | Standard Error | V.I.F |
Average | 650.163 | 10.3115 | |
A: Qfeed | 132.546 | 33.43 | 1.42623 |
B: PHfeed | 19.9649 | 28.2159 | 2.02965 |
C: tdis | 102.565 | 20.561 | 1.68957 |
AB | 14.8034 | 138.181 | 16.6239 |
AC | - 37.8339 | 107.893 | 14.366 |
BC | 42.0902 | 24.9432 | 1.3089 |
Source | Sum of squares | D.F. | Mean square | F-Ratio | P-Value |
A: Qfeed | 7 866.90 | 1 | 7 866.90 | 15.72 | 0.1573 |
B: PHfeed | 250.54 | 1 | 250.548 | 0.50 | 0.6080 |
C: tdis | 12 452.30 | 1 | 12 452.30 | 24.88 | 0.1260 |
AB | 5.743 | 1 | 5.743 | 0.01 | 0.9321 |
AC | 61.534 | 1 | 61.534 | 0.12 | 0.7853 |
BC | 1 424.95 | 1 | 1 424.95 | 2.85 | 0.3406 |
Total Error | 500.42 | 1 | 500.429 | ||
Total (corr) | 26 873.40 | 7 |
Coefficient | Estimate |
Constant | 541.177 |
A: Qfeed | 11.0964 |
B: PHfeed | - 5.86494 |
C: tdis | - 4.49676 |
AB | 0.012 |
AC | - 2.102 |
BC | 1.238 |
R2 | 98.1378 % |
R2 adjusted | 86.9648 % |
Standard error of estimate | 22.3703 |
Mean absolute error | 4.95906 |
Interaction | Canonical correlation | Lambda of Wilks | Chi-Squared | P-Value |
PHfeed vs. PHbio | 0.458025 | 0.790213 | 1.29499 | 0.2551 |
Qfeed vs. PHbio | 0.411438 | 0.830719 | 1.02005 | 0.3125 |
tdis vs. PHbio | 0.747842 | 0.440732 | 4.50625 | 0.0338 |
According to the results shown in Table 6, it is observed that the P-Value obtained is greater than 0.05 (0.0668), which indicates that there are no statistically significant differences between the values obtained for the PHbio variable, for a confidence level of 95.0 %. On the other hand, the values obtained for Standardized Skewness and Standardized Kurtosis are within the range of - 2 to + 2 (- 0.279732 and - 0.514947, respectively), indicating that there are no significant deviations from normality, and that the data therefore comes from a normal distribution.
According to the Standardized Pareto Chart shown in Figure 13a, the parameter that influences the most from the statistical point of view in the PHbio values obtained is the time between discharges. This effect can also be observed in Table 8, where the P-Value obtained for this variable is less than 0.15 (0.1260), indicating that it exerts a statistically significant influence on the PHbio variable at a confidence level of 85.0 %. By analyzing the Control Chart obtained for the PHbio variable (Figure 13d), it can be summarized that the data come from a system in a state of statistical control, applying a confidence level of 95.0 %, that is, the data are statistically stable. An equation of the adjusted statistical model was also obtained, which is shown below (4).
\[ \begin{align} PH_{bio} =\ & 541.177 + (11.096 \cdot Q_{feed}) - (5.864 \cdot PH_{feed}) - (4.496 \cdot t_{dis}) \\ & + (0.0120 \cdot Q_{feed} \cdot PH_{feed}) - (2.101 \cdot Q_{feed} \cdot t_{dis}) - (1.237 \cdot PH_{feed} \cdot t_{dis}) \tag{4} \end{align} \]
The value of the parameter R2 (Table 9) obtained for this adjusted statistical model explains 98.1378 % of the variability of PHbio.
Equation (4) is represented graphically in Figures 13b and 13c, while the statistical parameters and regression coefficients obtained for this model can be observed in Tables 8 and 9, respectively. Finally, with respect to the results obtained for the Canonical Correlations, it can be observed that the only variable that influences, from a statistical point of view, the value of PHbio obtained is the time between discharges (tdis), since the P-Value for this parameter is below 0.05 (0.0338), taking a representativeness level of 95 %. It is worth noting that 87.5 % of the PHbio values obtained during the experimental runs carried out are above the minimum value required for this parameter (600 g/L) before being formulated.
Table 11 shows the summary of the statistical results obtained, Table 12 presents the estimated effects between the variables, Table 13 the analysis of variance, Table 14 the regression coefficients and Table 15 the canonical correlations for the variable %Rec.
Parameter | Value |
Count | 8 |
Average | 97.43 |
Standard deviation | 1.87824 |
Coefficient of variation | 1.92778 % |
Minimum | 93.47 |
Maximum | 99.36 |
Range | 5.89 |
Standardized skewness | - 1.72693 |
Standardized kurtosis | 1.41282 |
F-ratio | 1.95 |
P-value | 0.2863 |
Effect | Estimate | Standard Error | V.I.F |
Average | 96.187 | 0.225865 | |
A: Qfeed | 3.15441 | 0.73226 | 1.42623 |
B: PHfeed | - 5.03265 | 0.618049 | 2.02965 |
C: tdis | 2.62667 | 0.450374 | 1.68957 |
AB | - 12.6557 | 3.02675 | 16.6239 |
AC | 7.88098 | 2.36332 | 14.366 |
BC | 2.90613 | 0.546362 | 1.3089 |
Fuente | Sum of squares | D.F. | Mean square | F-Ratio | P-Value |
A: Qfeed | 4.45557 | 1 | 4.45557 | 18.56 | 0.1452 |
B: PHfeed | 15.9201 | 1 | 15.9201 | 66.31 | 0.0778 |
C: tdis | 8.16705 | 1 | 8.16705 | 34.01 | 0.1081 |
AB | 4.19776 | 1 | 4.19776 | 17.48 | 0.1494 |
AC | 2.67003 | 1 | 2.67003 | 11.12 | 0.1855 |
BC | 6.79313 | 1 | 6.79313 | 28.29 | 0.1183 |
Total error | 0.240104 | 1 | 0.240104 | ||
Total (corr.) | 24.6944 | 7 |
Coefficient | Estimate |
Constant | 168.45 |
A: Qfeed | - 0.135227 |
B: PHfeed | 0.0438607 |
C: tdis | - 33.0972 |
AB | - 0.0103396 |
AC | 0.437832 |
BC | 0.0854745 |
R2 | 99.0277 % |
R2 adjusted | 93.1939 % |
Standard error of estimate | 0.490004 |
Mean absolute error | 0.108625 |
Interaction | Canonical correlation | Lambda of Wilks | Chi-Square | P-Value |
PHfeed vs. %Rec | 0.408088 | 0.833464 | 1.00191 | 0.3168 |
Qfeed vs. %Rec | 0.213548 | 0.954397 | 0.256715 | 0.6124 |
tdis vs. %Rec | 0.293125 | 0.914078 | 0.494118 | 0.4821 |
Regarding the statistical results obtained for the variable %Rec, according to the P-Value (Table 11) obtained (0.2863), which is greater than 0.05, it can be inferred that there are no statistically significant differences between the results obtained for this variable, for a confidence level of 95.0 %. The statistical parameters Standardized Skewness and Standardized Kurtosis are within the established range (-2 to +2), with -1.72693 and 1.41282. respectively, thus indicating that the data obtained do not present significant deviations from normality, that is, the values present a normal distribution.
The Standardized Pareto Chart obtained (Figure 14a) indicates that none of the input variables considered has a statistically significant influence on the %Rec parameter. This can also be verified by analyzing Table 13, in which none of the variables involved (A, B or C) has a P-Value less than 0.05, as well as in the Canonical Correlations (Table 15), in which the P-Value of none of the parameters involved is below 0.05, with a confidence level of 95 %.
Along with the Control Chart obtained for this parameter (Figure 14d), the process is in a state of statistical control under a confidence level of 95 %. The equation of the statistical model adjusted for this variable is the following (5):
\[ \begin{align} \%Rec =\ & 168.45 - (0.135 \cdot Q_{feed}) + (0.043 \cdot PH_{feed}) - (33.097 \cdot t_{dis}) \\ & - (0.010 \cdot Q_{feed} \cdot PH_{feed}) + (0.437 \cdot Q_{feed} \cdot t_{dis}) + (0.085 \cdot PH_{feed} \cdot t_{dis}) \tag{5} \end{align} \]
The R2 value obtained (Table 14) indicates that the adjusted model explains 99.027 % of the variability of the data obtained. Equation (5) can be observed graphed in Figures 14b and 14c, while the Statistical Parameters and Regression Coefficients obtained for the adjusted model can be observed in Tables 13 and 14, respectively.
The optimization of the data obtained was carried out in order to find that combination of values of the input parameters that maximize the result to be obtained for the wet weight of the concentrated biomass (PHbio) and the percentage of recovery (%Rec). For this, the “Multiple Response Optimization” option contained in the Statgraphics Centurion® XV.II statistical package was used. In relation to the above, it was found that, to maximize the results of %Rec (up to 95 %) and PHbio (up to 600 g/L), the main input parameters of the process should present the following optimal values (optimal point):
Figures 15a and 15b show the Estimated Response Surface Contour Plot and the Overlay Plot, respectively, which show the response surface of the optimized parameters, indicating the optimal point obtained.
The volume of cell culture that will be obtained at the end of the fermentation stage for the new proposed plant with a higher industrial capacity, which is 1 000 L, must be diluted to obtain a wet weight value (PHfeed) of 176 g/L before being processed by the disk centrifuge, according to the optimal results obtained for this variable (see previous section). Taking into account that the final cell culture obtained in a fermentation of Tsukamurella paurometabola strain C-924 reaches an average of 350 g/L of biomass concentration (unpublished data), then the total volume of culture after being diluted to 176 g/L prior to centrifugation will be calculated by (6):
\[ V_{feed} = \frac{PH_{cult} \cdot V_{cult}}{PH_{feed}} = \frac{350 \cdot 1\,000}{176} = 1\,988\ L \tag{6} \]
Where 𝑃𝐻𝑐𝑢𝑙𝑡 is the wet weight of the cell culture at the end of fermentation (g/L), 𝑉𝑐𝑢𝑙𝑡is the final volume of the cell culture at the end of fermentation (L), and 𝑉𝑓𝑒𝑒𝑑 is the volume of culture diluted to 176 g/L before centrifugation (L).
If this volume of diluted culture (1 988 L) is fed to the disk-stack centrifuge at a flow rate of 64 L/h, then the harvesting operation will last about 31 h, which is approximately half the time obtained if both tubular centrifuges are used (68 h), which increases the speed of the centrifugation process as well as the integrity, efficiency and quality of the harvested concentrated biomass. However, as previously verified, if the values of the parameters concentration of the culture to be fed to the centrifuge (PHfeed = 176 g/L) and the desired biomass concentration at the centrifuge outlet (PHbio = 600 g/L) are kept constant, the feed flow rate (Qfeed) can be increased if the time between discharges (tdis) is sufficiently reduced. Thus, if Qfeed is increased to 75 L/h, the total duration of the process will be approximately 27 h, while if the flow rate reaches 100 L/h, the process would last 19 h. With regard to these results, it is recommended to carry out additional experimental studies in order to determine a new set of values that the three main operating parameters considered should present, i.e. Qfeed, PHfeed and tdis, with the objective of increasing the feed flow rate to a value close to 100 L/h, in order to shorten the duration of the centrifugation operation, all without affecting the desired biomass concentration (600 g/L) and the final recovery percentage (> 95 %). This would bring with it a greater benefit in terms of safety and control of the quality parameters of the desired final product (concentrated biomass), as well as with respect to the efficiency and robustness of the centrifugation operation itself.
The following conclusions can be drawn from the studies carried out. The input parameter that statistically has the greatest influence on the wet weight of concentrated biomass (PHbio) value is the time between discharges (tdis), while none of the input parameters considered has a statistically significant influence on the percentage recovery parameter (%Rec). By using the proposed semi-continuous disk centrifuge, PHbio and %Rec values above the minimum required (600 g/L and 95 %, respectively) can be achieved for the harvest-recovery stage of the bionematicide HeberNem® according to the approved procedure, obtaining average PHbio and %Rec values of 657.28 g/L and 97.43 %, respectively. Mathematical correlations were also obtained that describe the influence of the independent parameters PHfeed, Qfeed and tdis on the response parameters PHbio and %Rec. The optimum values obtained for the parameters PHfeed, Qfeed and tdis were 176.0 g/L, 64 L/h and 5 min, respectively, which should be applied during the centrifugation operation in order to obtain a concentrated biomass with a PHbio greater than 600 g/L and a recovery percentage greater than 95 %. If a disk-stack centrifuge is used to process 1.988 L of diluted cell culture per batch under a feed flow rate of 64 L/h, the harvesting operation would be reduced by 37 h compared to the use of tubular centrifuges to process a similar volume of cell culture. The disk-stack centrifuge evaluated can be satisfactorily used to harvest Tsukamurella paurometabola strain C-924 cells, the active ingredient of the HeberNem-S® product.
The authors want to acknowledge the production supervisors and technical staff of the Center of Genetic Engineering and Biotechnology of Camagüey for their professional and practical support. This study was not funded by any public or private funding agency, organization, or institution.
The authors of the article proceed to declare that there is no conflict of interest, whether financial, professional, or personal.
Rafael Marcos Pimentel Pérez:Conceptualization, Proposal of the research idea, Review, Correction, and final approval of the manuscript.
Amaury Pérez Sánchez:Experimental runs, Writing the Introduction.
Jesús Zamora Sánchez: Support in the experimental runs, Writing the materials and methods.
Yovisleydis López Sáez: Experimental runs and support in the operation of the equipment.
Rutdali María Segura Silva: Generation of the graphics, Writing the results and discussion.
Amparo Olazábal Reyes: Statistical analysis; Writing the summary and conclusions.