Research Article | Open Access
Prajna Rao Krishnapura and Prasanna D. Belur
Department of Chemical Engineering, National Institute of Technology Karnataka (N.I.T.K.), Surathkal, Srinivasnagar, Mangaluru – 575 025, Karnataka, India.
J. Pure Appl. Microbiol., 2020, 14 (1): 307-318 | Article Number: 5627 | © The Author(s). 2020
Received: 16/05/2019 | Accepted: 22/01/2020 | Published: 06/02/2020

In recent times, exploration of endophytes for L-asparaginase production is gradually gaining momentum. This work deals with studies on the production of L-asparaginase from Talaromyces pinophilus, an endophytic fungus isolated from the rhizomes of Curcuma amada. L-asparaginase production was carried out by Submerged Fermentation (SmF) followed by Solid-state Fermentation (SSF). A liquid medium was designed and optimized using Plackett-Burman Design and Response Surface Methodology (RSM), under SmF. Additionally, optimal concentrations of various metal salts were incorporated in the optimized liquid medium, by one-factor-at-a-time experiments. To further enhance L-asparaginase production, SSF was carried out using Polyurethane Foam (PUF) as inert support impregnated with the optimized liquid medium. Effects of PUF cube volume, mass of PUF, moisture content, initial medium pH, and incubation temperature on the enzyme production in SSF were optimized by one-factor-at-a-time approach.L-asparaginase production enhanced from 80.8 U/mL in the unoptimized medium to 94.4 U/mL in the optimized medium under SmF. Enzyme production further increased to 120.3 U/mL under SSF by using PUF soaked in the optimized liquid medium. This study highlights the benefits of carrying out SSF with PUF, using the same liquid medium optimized for SmF – a novel approach to enhance the enzyme yield (in our case an increase of about 27% was observed). To the best of our knowledge, this is the first report on the production of L-asparaginase by both SmF and SSF, from an endophyte Talaromyces pinophilus isolated from the rhizomes of Curcuma amada.


L-asparaginase, Plackett-Burman Design, Polyurethane Foam (PUF), Response Surface Methodology (RSM), Submerged fermentation (SmF), Solid-state fermentation (SSF).


L-asparaginase is a prominent enzyme, which is used in the treatment of Acute Lymphoblastic Leukaemia (ALL), a prevalent form of paediatric cancer1. Another of the applications of the enzyme is in food industry, where it is used to mitigate the formation of acrylamide in food products that require processing at temperatures above 100°C2. Fungal L-asparaginases are considered safe by Joint FAO/WHO Expert Committee on Food Additives-2007 and are used as food additives3. L-asparaginase holds potential for more extensive applications in the treatment of other diseases apart from cancer. One of such applicability is in the treatment of infectious diseases caused by Streptococcus pyogenes, Staphylococcus aureus, Listeria monocytogenes and Clostridium botulinum4. L-asparaginases from Escherichia coli and Erwinia chrysanthemi are commercially available for the treatment of ALL. Although effective, their therapeutic utilization is hindered by complications involving hypersensitivity and several other toxic side effects5,6. For utilization in the food industry, only a couple of L-asparaginases are available with the brand names Acrylaway and Preventase. These limitations advocate the exploration for newer and high yielding microbial sources of L-asparaginase7. Endophytes in particular are gaining importance as potential sources of L-asparaginases8.

The commercial demand for L-asparaginase lays stress on the need for optimized fermentation processes for obtaining high productivity. Improvement of productivity can be achieved through optimization of the nutritional and process parameters. L-asparaginase is largely produced by Submerged fermentation (SmF). Solid-state fermentation (SSF) for L-asparaginase production by fungi has mainly involved the usage of agricultural wastes9-11. However, SSF processes utilizing agricultural by-products or non-inert raw materials have disadvantages such as change in the medium characteristics and support degradation over time, difficulties in downstream processing of the products12 and in biomass estimation13. These drawbacks could be overcome by the use of inert supports such as Polyurethane Foam (PUF). Usage of PUF in SSF for enzyme production by fungi imparts advantages such as homogeneous aeration13,14, and a possibility of running successive cycles of fermentation by reuse of the fungi adsorbed on PUF15.

The current work focuses on the enhancement of L-asparaginase production from an endophytic fungus Talaromyces pinophilus, isolated from the rhizomes of Curcuma amada (Mango-ginger), by sequential media optimization. A liquid medium to improve L-asparaginase production was designed by optimization using Plackett-Burman Design (PBD) experiments and Response Surface Methodology (RSM), under SmF. Subsequently, various metal salts were incorporated into this liquid medium based on one-factor-at-a-time method. To further enhance L-asparaginase production, SSF was adopted using PUF impregnated with the previously optimized liquid medium, and the optimal values of various process parameters were determined using one-factor-at-a-time approach.

The technique of impregnation of PUF with defined liquid media has been found to improve the productivity of enzymes in SSF involving fungi13-15. In such SSF processes which incorporate PUF, optimization of the liquid media plays an important role. The use of a defined liquid medium enables controlling and monitoring of the SSF process, and also ensures the reproducibility of the process13,16.

Materials and Methods

Talaromyces pinophilus previously isolated in our laboratory from the rhizomes of Curcuma amada (Krishnapura et al., 2015b), was used for the fermentation studies. The ITS/5.8S rRNA gene sequencing of the organism was carried out at IMTECH, Chandigarh, India. The data was deposited in GenBank and was assigned the accession No. KJ372306. The culture was maintained on MCD agar media with the composition (g/L): Glucose, 2.0; L-asparagine, 10.0; KH2PO4, 1.52; KCl, 0.52; MgSO4.7H2O, 0.52; FeSO4.7H2O, 0.01; agar, 18.0, and pH 6.5.

Determination of enzyme activity
The enzyme extraction in all the smf experiments was carried out as mentioned by Krishnapura and Belur8. In SSF experiments, the PUF cubes, upon completion of fermentation, were washed with 50 ml sterile distilled water and compressed to release the fermentation broth, which was filtered through whatman no. 2 filter paper. The filtrate was used as the crude enzyme for L-asparaginase assay. The enzyme activity of l-asparaginase was determined by measuring the amount of ammonia formed, using direct nesslerization method based on Imada et al.17. One unit of L-asparaginase is the amount of enzyme which liberates 1 μmol of ammonia in 1 minute at 37°C.

Designing the liquid media for L-asparaginase production
The designing of the liquid media was performed using PBD and RSM. All the experiments were carried out by SmF in 250 ml conical flasks for 120 hours, at 28°C, with an agitation rate of 120 rpm, and an initial medium pH of 6.5. A 21-day old mycelial mat of Talaromyces pinophilus, of 5 mm diameter, grown on MCD agar medium was used as the inoculum. The above mentioned parameters had been optimized previously by one-factor-at-a-time approach (results not presented here).

Plackett-Burman design (PBD)
PBD, a statistical approach was opted to choose the significant factors that influence maximum L-asparaginase production. The PBD matrix was created and the results were analyzed using Minitab software (Trial version 16.2.2, Minitab® Inc. 2010, USA). In the present investigation, 12 experimental trials were conducted with 11 factors – 8 variables and 3 dummy variables. Each of the eight variables were tested at two levels, a high (+1) and a low (-1) level i.e., at two different nutrient concentrations (Table 1). Temperature (28°C), pH (6.5) and inoculum age (21 days old culture) were assigned the role of dummy variables and were maintained at constant values. All the experiments were carried out in duplicates and the average of the L-asparaginase activity was considered as the response.

Table (1):
Factors and their binary numerical settings in PBD for L-asparaginase production by SmF.

Code Factors Range (% w/v)
High (+1) Low (-1)
A Carbon sources Glucose 0.5 1.5
B Sucrose 0.5 1.5
C Starch 0.5 1.5
D Nitrogen sources (Organic) Yeast extract 0.5 1.5
E Peptone 0.5 1.5
F Nitrogen sources (Inorganic) Ammonium sulphate 0.5 1.5
G Sodium nitrate 0.5 1.5
H Inducer L-asparagine 0.5 1.5
I Temperature 28 °C
J pH 6.5
K Inoculum age 21 days old culture

Response surface methodology (RSM)
RSM was used to elicit the optimal concentrations of the most significant independent variables screened using the PBD, to maximize L-asparaginase production. A total of 20 trials were run with three factors at five discrete levels (-α, -1, 0, +1, +α) in a Central Composite Design (CCD) (Table 2). L-asparaginase production (U/mL) was taken as the response. Minitab software (Trial version 16.2.2, Minitab® Inc. 2010, USA) was used for multiple regression analysis of the experimental data and to construct the response surface plots. The response values in each trial were the average of the duplicates. The data obtained from RSM on L-asparaginase production were subjected to analysis of variance (ANOVA). The relationship between the variables and their effect on the response was determined by fitting a second order polynomial equation16 to the data obtained:

Y = βο + ∑i βiXi + ∑ii βiiXii2+ ∑ij βijXi Xj

Where, Y is the predicted response, Xi and Xj are independent variables, βο the intercept coefficient, βi the linear effect coefficient, βii the squared effect coefficient, and βij is the coefficient of the interaction effect. The optimum levels of different factors for maximum enzyme production and the final response (yield) predicted by the model was validated by experimental trials in shake-flask trials.

Table (2):
Independent factors and their levels in the three-factor and five-level CCD.

 Factor  Code  Values (% w/v) of the factors at the coded levels
-1.68 (-α) -1 0 +1 +1.68 (+α)
Starch A 0.1591 0.5 1 1.5 1.8409
Yeast extract B 0.1591 0.5 1 1.5 1.8409
L-asparagine C 0.1591 0.5 1 1.5 1.8409

The effect of inorganic metal salts
The effect of the following inorganic salts (concentration ranges in parenthesis) was studied by one-factor-at-a-time method, on the optimized liquid media: Potassium dihydrogen phosphate (0.1 – 0.5% w/v), Potassium chloride and Magnesium sulphate (0.01 – 0.15% w/v), Ferrous sulphate and Zinc sulphate (0.001 – 0.005% w/v). Control flasks were kept without the addition of the salts.

Solid-state fermentation (SSF)
SSF experiments were carried out with the optimized liquid media (Table 3) adsorbed onto PUF cubes. The density of the PUF used was determined as follows: the cubes were dried at 80°C for 24 hours and then cooled. The masses and dimensions of each of the cubes were recorded, and density was calculated.

Table (3):
Experimental design matrix and the response of the experimental runs of PBD for L-asparaginase production by endophytic Talaromyces pinophilus.

Run order Glucose Sucrose Starch Yeast extract Peptone Ammonium sulphate Sodium nitrate L-asparagine Temperature pH Inoculum size Yield (U/mL)
1 -1 1 1 -1 1 -1 -1 -1 1 1 1 35.4
2 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 17.0
3 -1 -1 -1 1 1 1 -1 1 1 -1 1 80.9
4 -1 1 1 1 -1 1 1 -1 1 -1 -1 67.6
5 1 1 -1 1 -1 -1 -1 1 1 1 -1 73.8
6 1 -1 1 -1 -1 -1 1 1 1 -1 1 70.0
7 1 1 -1 1 1 -1 1 -1 -1 -1 1 37.8
8 -1 1 -1 -1 -1 1 1 1 -1 1 1 45.0
9 1 1 1 -1 1 1 -1 1 -1 -1 -1 69.1
10 -1 -1 1 1 1 -1 1 1 -1 1 -1 89.9
11 1 -1 -1 -1 1 1 1 -1 1 1 -1 17.2
12 1 -1 1 1 -1 1 -1 -1 -1 1 1 71.8

Unless mentioned otherwise, fermentation was carried out in 250 mL sterile conical flasks with cotton plugs, with initial medium pH of 6.5, at room temperature for 120 hours, after which the enzyme activity was determined. Prior to use, PUF was cut into cubes and washed with boiling water, followed by thorough rinsing with distilled water. The cubes were dried at room temperature and stored until use. The PUF cubes and the liquid media were autoclaved separately. The pH of the liquid media was set prior to autoclaving. 5 mm-diameter mycelial mats of Talaromyces pinophilus from a 21-day old culture grown on MCD agar media was homogenized with 2 mL of sterile distilled water and was used as the inoculum for all the experiments. This inoculum was mixed with the liquid media and added to the PUF cubes in the conical flasks. All the experiments were carried out in duplicates, and the reported results are the average values.

Determination of optimal settings of process parameters for SSF by one-factor-at-a-time approach
The effect of moisture content on L-asparaginase production was studied with varying percentages (10 – 100% by volume) of moisture. Water-holding capacity of the PUF cubes of different dimensions was calculated by measuring the maximum volume (in mL) of water absorbed by the cubes without spillage11. This was considered as 100% of its water-holding capacity. Based on this, the volume of water required to maintain a desired percentage of moisture was calculated. To this volume of water, the media components were added, as per the composition mentioned in Table 3. The autoclaved liquid media was mixed with the inoculum, and added to 1.5 g of 8 cm3 PUF cubes (2-cm side) that were autoclaved separately.

The effect of initial medium pH in SSF, was studied by setting the pH of the liquid media to different values in the range 6 to 7.5 prior to autoclaving. This liquid media was added to 2 g of autoclaved PUF cubes. To study the effect of temperature, SSF was carried out at temperatures: 20°C, 25°C, 30°C, and at room temperature. To study the effect of varying masses of PUF cubes, SSF trials were carried out with PUF cubes weighing in the range 1 to 4 g. To study the effect of cube volume, 2 g of PUF cubes of volume 1 cm3 and 8 cm3 were used for the trials. Time course studies were carried out with SmF and with SSF to observe the pattern of the enzyme production. The L-asparaginase activity was measured every 24 hours.


The Plackett-Burman design experiments
The analysis of the data from the PBD experiments involved a first-order (main effects) model. L-asparaginase activity was observed in the range of 17.0 U/mL to 89.9 U/mL in 12 experimental runs. One-way-ANOVA was carried out on the results obtained. The experimental design matrix and the response of the experimental runs are given in Table 3 and the response of each trial and its statistical analyses were given in Table 4.

Table (4):
The main effect, co-efficient, p- and F-values of the individual factors in PBD experiments for L-asparaginase production by endophytic Talaromyces pinophilus.

Term Main effect Co-efficient p-value F value
Constant 56.358
Glucose 0.636 0.318 0.967 0.00
Sucrose -3.021 -1.511 0.844 0.04
Starch 22.026 11.013 0.128 2.75
Yeast extract 28.005 14.003 0.043 5.36
Peptone -2.503 -1.252 0.871 0.03
Ammonium sulphate 4.606 2.303 0.764 0.10
Sodium nitrate -3.429 -1.715 0.823 0.05
L-asparagine 30.328 15.164 0.025 6.93
Temperature 2.378 1.189 0.877 0.03
pH -1.546 -0.773 0.920 0.01
Inoculum size 1.075 0.538 0.944 0.01

Starch, yeast extract and L-asparagine were found to have significant positive effect on L-asparaginase production, as seen from the Pareto chart (Fig. 1).

Fig. 1. Pareto chart of the effects of individual variables on L-asparaginase production by endophytic Talaromyces pinophilus in PBD experiments.

Response Surface Modeling
The design matrix and the corresponding results of observed and predicted responses (production of L-asparaginase) are shown in Table 5.The results obtained from the CCD were fitted to a second order polynomial equation to express the mathematical relationship between L-asparaginase production and the medium components:

Y = 71.7653 + 9.04729A + 11.7083B + 15.0405C + 3.11500AB + 3.48700AC + 8.80700BC – 13.4297A2 – 14.1053B2 – 8.77179C2

Where Y is the predicted amount of L-asparaginase production, A, B and C are the coded terms for starch, yeast extract and L-asparagine respectively.

The analysis of variance of the quadratic regression model suggested that the model is statistically very significant as was evident from the Fisher’s F-test (197.14) and p-value (< 0.001). The model’s goodness of fit was checked by the coefficient of determination (R2). In this case, the value of R2 of 0.9944, which is very close to 1, denotes a strong correlation between the observed and the predicted responses. The high value of adjusted coefficient of determination (adj R2 = 98.94%) and predicted coefficient of determination (96.84%) advocates for high significance of the model. The Lack-of-Fit with F-value of 2.04 and P-value of 0.226 implied that the Lack-of-Fit was insignificant and the model was highly satisfactory.

Table (5):
The predicted and observed responses along with the CCD design matrix with factors in coded values for L-asparaginase production by endophytic Talaromyces pinophilus.

Run order Starch Yeast extract L-asparagine Enzyme activity (U/mL)
Actual Predicted
1 0 0 1.68179 68.1658 72.2499
2 0 0 -1.68179 23.8927 21.6598
3 -1 -1 -1 14.8326 15.0713
4 0 0 0 75.7060 71.7653
5 -1.68179 0.00000 0 17.5025 18.5646
6 0 1.68179 0 50.0458 51.5605
7 1 -1 1 41.7054 39.4030
8 0 0 0 71.4376 71.7653
9 1 1 -1 32.1364 31.9946
10 1 1 1 88.2114 86.6636
11 0 0 0 69.9968 71.7653
12 0 0 0 71.1002 71.7653
13 -1 1 1 58.2776 55.3650
14 0 -1.68179 0 11.8420 12.1786
15 -1 -1 1 21.7316 20.5644
16 0 0 0 72.6508 71.7653
17 -1 1 -1 13.6506 14.6440
18 1.68179 0.00000 0.00000 48.2068 48.9959
19 0 0 0 70.0178 71.7653
20 1 -1 -1 18.3584 19.9619

The significance of the regression coefficients was evaluated by t-test and the P-value. The P-value < 0.01 denotes the significance of the coefficients and their mutual interactions. This indicates that the combined effects of all the independent variables significantly contributed to maximizing the production of L-asparaginase. The interaction of yeast extract with L-asparagine is highly significant (P-value = 0.000). The interaction of L-asparagine with starch is more significant (P-value = 0.004) than the interaction between starch and yeast extract (P-value = 0.008) on the enzyme production.

The three-dimensional response surface plots were constructed in pair-wise combination for three factors, to predict the L-asparaginase production for different values of the tested variables and to analyze the interactions among the variables (Fig. 2). There was a very good correlation between the experimental and predicted values of L-asparaginase production, since the experimental and predicted values were found to be in close agreement.

Fig. 2. Three-dimensional surface plot (a, c, e) and contour plot (b, d, f) of the effect of yeast extract and L-asparagine, starch and L-asparagine, and starch and yeast extract, respectively, on L-asparaginase production by endophytic Talaromyces pinophilus.

The optimal levels of the selected factors (within the design space) were obtained from the optimizer tool. The model predicted a maximum enzyme activity of 91.0 U/mL, with starch, yeast extract and L-asparaginase at optimum levels in coded values (uncoded values in parentheses) 0.6285 (13.143 g/L), 0.9343 (14.671 g/L) and 1.4440 (17.220 g/L) respectively. Upon actual experimentation, the enzyme activity was found to be 91.1 U/mL. This result corroborates the validity and the effectiveness of the model. The desirability of the model was 1.0.

Effect of inorganic salts
The inorganic salts caused only a slight increase in L-asparaginase production (data not shown). The contribution of individual metal salts towards L-asparaginase production is meagre; but the conjoint action of all the above mentioned metal salts (at such concentrations which appear to have individually caused maximum L-asparaginase activity) when added to the medium optimized by RSM, increased the enzyme activity from 91.1 U/mL to 93.8 U/mL. The composition of the final optimized media was found to be (g/L): Starch, 13.1; Yeast extract, 14.6; L-asparagine, 17.2; KH2PO4, 3.0; KCl, 0.5; MgSO4.7H2O, 0.5; FeSO4.7H2O, 0.1;ZnSO4, 0.01.

Solid-state fermentation using PUF: Effect of process parameters
The density of the PUF was calculated to be 30 kg/m3, and the maximum water-holding capacity of 8 cm3 PUF cubes was determined to be 7.9 mL, and that of 1 cm3 PUF cubes was 0.89 mL. L-asparaginase production was highest at 60% (v/v) moisture content. As observed from Fig. 3a, 10% moisture is insufficient for enzyme production, while at higher levels of moisture content, the enzyme activity was reduced. In SSF using agricultural residues, the optimum moisture content for L-asparaginase production by non-endophytic fungi lies in the range of 50-70%9-11. Reduction in L-asparaginase activity at low moisture level has also been reported in case of Penicillium sp. under SSF with sugarcane bagasse9. The amount of moisture content has to be appropriately chosen to permit accessibility to the nutrients in the media. High moisture percentage can result in low substrate porosity which in turn obstructs oxygen supply, and also can favour bacterial contamination. Low moisture content may lead to poor accessibility of nutrients thereby hindering microbial growth, and may prolong the lag phase of fungi19,20.

Fig. 3. Effects of process parameters in SSF: (a) Moisture content, (b) Initial medium pH, (c) Temperature, (d) Mass of PUF cubes, (e) PUF cube volume, on L-asparaginase production.

Initial medium pH and incubation temperature had a significant effect on enzyme yield. The organism favours pH 6.5 for the enzyme production (Fig. 3b). Initial medium of pH 6.5 has also been reported to be optimum for L-asparaginase production by Aspergillus niger under SSF using agricultural wastes of leguminous crops11. L-asparaginase production was the highest at 25°C. Even at room temperature (which is bound to fluctuation) the results were equally good (Fig. 3c). The optimum temperature for L-asparaginase production by non-endophytic Penicillium sp.10 and Aspergillus niger11 has been reported to be 30°C and 40°C respectively.

L-asparaginase production was the highest with 2 g of PUF. (Fig. 3d). As observed from Fig. 3e, there was not much difference in the enzyme production with the cube volumes of 1cm3 and 8 cm3.

Time course of L-asparaginase production in SmF and SSF
Both in SmF and SSF, enzyme production exponentially increases till about 96 hours (Fig. 4a, b). The highest enzyme production was observed at 96 hours in SSF, and at 120 hours in SmF. The growth curve of certain fungi and L-asparaginase production profile are known to vary with different nutrient sources19, 20. L-asparaginase production by most non-endophytic fungi is known to peak around 96 hours or beyond21. Maximum L-asparaginase production by an endophytic Fusarium sp. is known to occur at 120 hours under SmF22. Highest L-asparaginase production has been reported with 96 hours of incubation, by non-endophytic Penicillium sp.10 and Aspergillus niger11 under SSF using agricultural wastes. There are also reports on the optimum fermentation time being 72 hours for Bipolaris sp.23, or as low as 55 hours for Aspergillus terreus MTCC 1782 under SmF24.

Fig. 4. Time course of L-asparaginase production in (a) SmF and in (b) SSF.

Talaromyces pinophilus yielded a maximum enzyme activity of 80.8 U/mL at 120 hours in liquid MCD medium. Upon optimization of the liquid media, L-asparaginase activity increased to 94.5 U/mL at 120 hours under SmF. Furthermore, there was about 27% increase in the enzyme production (120.3 U/mL) with SSF using PUF soaked in the optimized liquid media. Talaromyces pinophilus seems to favour SSF over SmF, as is the case with most of the fungi13,14,20. This increase in the yield might have been due to the usage of PUF in the SSF process, which more closely imitates the conditions under which these endophytes grow in the rhizomes25. Moreover, enzyme production by fungi is known to vary in solid and liquid fermentation conditions, as observed in L-asparaginase production from Bipolaris sp. by Lapmak et al.23.


The utility of L-asparaginase in therapeutics (as an anti-cancer drug) and in food industry (as an acrylamide-mitigating agent) is noteworthy. Production of L-asparaginase from endophytes can be a promising way to obtain L-asparaginases with different structural, functional and pharmacological properties5,24, and also to meet the industrial demand for the enzyme.

The strategy of sequential optimization of the production process, by first designing a suitable liquid nutrient media using SmF, followed by the optimization of the process parameters influencing SSF, is a novel approach. Although there have been reports on the usage of defined media in SSF processes14,16, to date, there have been no reports on initial optimization of the liquid media used for SSF. Separately designing the liquid medium simplifies the optimization of the production process through SSF. It also gives a better control over the process, as it is easy to individually assess the influence of the nutrient media and that of the process parameters on the enzyme production. Most of the studies at large carry out optimization of production processes by SmF or by SSF, but not both. Our studies have thrown light on the fact that carrying out SSF with PUF, using the same liquid media optimized for SmF, can enhance the enzyme yield (in our case an increase of about 27% was observed).

Talaromyces pinophilus isolated from the rhizomes of Curcuma amada produced a high yield of about 120 U/mL of L-asparaginase, in comparison with L-asparaginase production by certain non-endophytic fungi such as Aspergillus terreus (58 U/mL)27, Bipolaris sp. BR438 (6.2 U/mL)23, Aspergillus terreus MTCC 1782 (37.8 U/mL)24, Fusarium equiseti (8.51 U/mL)9 and Penicillium sp. (15 U/mL)10. This suggests the capacity of endophytes for large-scale L-asparaginase production, and the feasibility of developing processes for commercial production of the enzyme. However, the adequacy of L-asparaginase from Talaromyces pinophilus for clinical and other industrial applications has to be tested.


Prajna Rao Krishnapura was supported by scholarship for doctoral course by the National Institute of Technology Karnataka (N.I.T.K.), Karnataka, India.

The authors declare that there is no conflict of interest.

All authors listed have made a substantial, direct and intellectual contribution to the work, and approved it for publication.

This work was supported by National Institute of Technology Karnataka (N.I.T.K.), Karnataka, India.

This article does not contain any studies with human participants or animals performed by any of the authors.

All datasets generated or analyzed during this study are included in the manuscript and/or the Supplementary Files.

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