An alternative peptone preparation using Hermetia illucens (Black soldier fly) hydrolysis: process optimization and performance evaluation

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Biochemistry, Biophysics and Molecular Biology

Introduction

Hermetia illucens (HI), or black soldier fly (BSF), is increasingly gaining recognition as a remarkable bio-converter and decomposer. This insect is adept at consuming a plethora of organic materials, such as kitchen waste, spoiled fruits and vegetables, animal manure, and food processing waste, and converting them into a rich biomass containing proteins, lipids, amino acids, and peptides (Meneguz et al., 2018; Surendra et al., 2020; Amrul et al., 2022; Mangindaan, Kaburuan & Meindrawan, 2022). The dry biomass of Hermetia illucens larvae (HIL) boasts crude protein content ranging from 32 to 60% w/w (Nguyen, Tomberlin & Vanlaerhoven, 2013; Al-Qazzaz et al., 2016; Ruhnke et al., 2018). HIL acts as a bulwark against harmful microbes like Escherichia coli and Salmonella. During the 10–20-day breeding phase, the larvae synthesize a high concentration of antibacterial peptides, creating an inhospitable environment for bacterial and fungal growth (Secci et al., 2018; Cullere et al., 2019; Candian, Meneguz & Tedeschi, 2023; Candian et al., 2023). HIL also protects against typical mycotoxins such as deoxynivalenol, fumonisin 1 and 2, and zearalenone in HIL biomass, regardless of the nature of the substrate on which they are reared (Bosch et al., 2017; Camenzuli et al., 2018; Leni et al., 2019). The legislative landscape is also shifting in favor of HIL, with the European Union, the United States, Australia, and Canada having enacted legislation to approve its use in animal feed (European Union (EU), 2017; European Union (EU), 2021; Alagappan et al., 2022). Currently, the breeding industry predominantly uses HIL as a protein-rich alternative to traditional feeds like soybean meal and fishmeal because of its high protein content, feed safety, and cost-effectiveness (Petrova et al., 2021). However, only a few studies have been conducted on HIL protein application outside of its use as animal feed.

Commercially available peptones, which are indispensable nitrogen sources in microbial culture media, owe their widespread use to their proven efficiency and stability (Chapman, Mariano & Macreadie, 2015; Fallah, Bahram & Javadian, 2015). These peptones are typically derived from hydrolyzed sources such as fish, casein, meat, or soybean. However, there are barriers to the use of these sources, including high costs and the potential risk of bovine spongiform encephalopathy (BSE) virus contamination during beef hydrolysis (Zhang et al., 2023). These limitations have ignited the pursuit for feasible alternatives.

A growing body of research has begun to explore unconventional sources for peptone derivation. Materials such as wool, tuna heads, and salmon skeletons have been used with different proteases to yield peptones that demonstrate comparable bacterial growth performance to their commercially available counterparts (Broli et al., 2021; Tuysuz et al., 2021; Vázquez et al., 2022). HI are able to grow and mature at a fast growth rate which leads to a high yield of larvae, HIL. It is also found that HIL convert the organic waste efficiently and sustainably into biomass containing high protein content which could be utilized as beneficial nutritional source in peptone-related bacterial cultivation (Meneguz et al., 2018). However, despite the significant potential of HIL in nutrient recycling and as a protein-rich feed alternative, very few studies have delved into the preparation of peptones using HIL and hence, this research gap represents an opportunity for exploration, especially considering the impressive credentials of HIL as a sustainable and efficient nutrient source.

In the quest for efficient, cost-effective, and safe solutions to the high costs and biosafety concerns of conventional peptone sources, this study proposes the use of HIL as a promising source for alternative peptone preparation. Recognizing HIL as a prospective alternative peptone source, this study introduces a method to hydrolyze HIL proteins using a variety of protease combinations. The outcome is a protein hydrolysate that has shown potential as a microbial medium as effective as traditional tryptone. This study focuses on optimizing the HIL peptone preparation process, including examining the physicochemical properties of the resultant HIL peptone and conducting a performance evaluation. To assess performance, this study focused on the growth kinetics of Bacillus subtilis, Staphylococcus aureus, and Escherichia coli in HIL-based media.

Materials & Methods

Raw materials and enzymes

The HIL used in this study were purchased from Gansu Guorui Environmental Protection Biotechnology Co. Ltd. (Lanzhou, China). General chemical reagents were obtained from Tianjin Baishi Chemical Industry Co. Ltd. (Tianjin, China) and the biochemical-grade yeast extract and agar peptone (tryptone) were purchased from Beijing Solarbio Science & Technology Co. Ltd. (Beijing, China). Trypsin and papain were purchased from Nanning Donghenghuadao Biotechnology Co. Ltd. (Nanning, China), alkaline protease was purchased from Shandong Longke Bio-Products Co. Ltd. (Linyi, China), and Bacillus subtilis ATCC 6051 was purchased from Beijing Bai’ou Bowei Biotechnology Co. Ltd. (Beijing, China). Staphylococcus aureus ATCC6583 and Escherichia coli ATCC 25922 were preserved by the Biomedical Research Center, Northwest Minzu University (Gansu, China).

Instruments and equipment

The automatic Kjeldahl nitrogen analyzer (Kjeltec 8200) used in this study was manufactured by FOSS Co. Ltd. in Denmark. Additionally, the Hitachi amino acid analyzer (L-8900) was purchased from Shanghai Baiga Instrument Technology Co. Ltd. and the vacuum freeze dryer (LGJ-20F) employed in the study was purchased from Beijing Songyuan Huaxing Technology Development Co. Ltd.

Microbial culture medium

The Luria-Bertani (LB) medium containing 10.0 g peptone (tryptone), 5.0 g yeast extract, 10.0 g NaCl, and 15.0 g agar was dissolved in distilled water to a volume of 950 mL. The pH was then adjusted to 7.2–7.4 and more distilled water was added to a final volume of 1000 mL and then sterilized by autoclaving at 120 °C for 20 min.

Response surface methodology (RSM) experimental design

Data detailing the impact of enzyme complexes (specific enzymes and their proportions), pH, and hydrolysis time on HIL hydrolysis are presented in the File S1. The results of the preliminary factorial experimental test showed the variables of enzyme addition (A) and temperature (B) were the most significant variables on the proteolysis of HIL, so they were selected to be investigated for optimization by response surface methodology. Polynomial equations, relating the effect of independent variables on maximum hydrolysis (Hm), were obtained after applying the orthogonal least-squares method (Eq. (1)) (Vázquez et al., 2022): Y = m 0 + i = 1 n m i X i + i = 1 k > i n 1 k = 2 n m i k X i X k + i = 1 n m i i X i 2 where Y is the response evaluated, m0 is the constant coefficient, mi is the coefficient of linear effect, mik is the coefficient of combined effect, mii is the coefficient of quadratic effect, n is the number of variables, and Xi and Xk are the independent variables studied in each case. Five combinations of temperature and enzyme addition were tested, based on previous data provided by the enzyme marketers, to establish the most suitable optimal working conditions. The experimental conditions studied were set at pH 7.0 at a mass ratio of alkaline protease to trypsin at 1:1 under the enzymatic reaction time of 4 h. In all cases, after proteolysis, each liquid hydrolysate was heated at 95 °C for 15 min to inactivate the enzyme. Following the hydrolysis, both the hydrolysate and sediment were subjected to centrifugation. The resultant liquid hydrolysate was then dried using a vacuum freeze dryer (LGJ-20F). This material was distributed evenly on the instrument’s rack under a vacuum pressure of 20 Pa. The process involved a linear temperature increase from −45 °C to 25 °C over the course of the 40-hour vacuum freeze-drying cycle. The dried samples were subsequently collected, pulverized, and preserved through vacuum packaging in sterile bags. The Design-Expert 8.0.6 software was used to optimize the hydrolysis process of the HIL. The central composite design experimental setup is shown in Table 1.

Table 1:
Factors and levels of central composite design.
Level Factors
A: Enzyme addition (%) B: Temperature (°C)
−1.414 0.79 40.86
−1 1.0 45
0 1.5 55
1 2.0 65
1.414 2.21 69.14
DOI: 10.7717/peerj.16995/table-1

Measurement of main indicators

The physicochemical properties of HIL hydrolysate were obtained by measuring total nitrogen content using the Kjeldahl method, and amino-nitrogen (a-amino) content, which was estimated using the formol titration method according to the methods described by Kosasih et al. (2018). HIL hydrolysate (2 ml) was dissolved in deionized water (five mL) and the pH was adjusted to 8.2 using NaOH (0.1 mol/L). Then, five mL of previously neutralized formaldehyde (pH = 8.2) was added to the mixture and subsequently titrated with NaOH (0.1 mol/L) to attain a pH of 9.2. The total volume of NaOH in the titration was used to calculate the amino-nitrogen content, as shown in Eq. (1). The protein hydrolysis DH (%) was determined by separately determining the amount of total nitrogen and amino-state nitrogen in the protein solution and calculating the result using Eq. (2): Amino nitrogen % = v w × 10 × M NaOH × 14 . 008 where v is the volume of NaOH used in titration, w is the weight of the sample (g), and M(NaOH) indicates NaOH normality. The degree of hydrolysis (DH) was estimated by the ratio of amino nitrogen to total nitrogen in each sample (Eq. (3); Kosasih et al., 2018): DH % = A g / 100 g T g / 100 g × 100 where A is amino acid nitrogen in enzymatic digest and T is the total nitrogen in the sample.

Amino acid analysis

Sample processing involved dissolving the lyophilized powder in pure water, centrifuging it at 1200 rpm for 15 min to remove the protein, and then treating the supernatant with trichloroethylene. After dilution with trichloroethane (TCA), the filtrate was filtered through a 0.22 µm filter, and the amino acid species and content in the samples were determined through an amino acid analyzer (National Health Commission of the PRC, China Food and Drug Administration (CFDA), 2016).

HIL Peptone and commercial peptone chemical property test

The fat protein content and ash moisture of the samples were determined according to methods 955.04, 934.01, 2003.06 and 942.05 of the AOAC international methods. The ash content of hydrolysates was evaluated using AOAC international method 942.05 (Cinnif, 1997). The water solubility index (WSI) was determined using the methods outlined by Hou (2017).

Effect of HIL peptone and commercial peptone on the growth effect of bacteria

This experiment was conducted in four separate sections, each serving a distinct objective. First, the solubility of peptone was assessed. A precise quantity of 1.0 g of peptone was dissolved in 50 mL of distilled water. The solution was immediately shaken and completely processed within 30 min. In the second section, the clarity and precipitation of the peptone solution were evaluated under alkaline conditions. A solution was prepared by dissolving 2.0 g of peptone in 100 mL of distilled water. The pH was adjusted to 8.0–9.0 using 0.1 mol/L NaOH. Subsequently, the solution was autoclaved at 121 °C for 30 min, followed by cooling to room temperature for observation. The third section involved examining the interaction between peptone and phosphate. A solution was prepared by dissolving 2.0 g of peptone and 0.5 g of KH2PO4 in 100 mL of distilled water. The pH was adjusted to 7.4–7.6 using 0.1 mol/L NaOH. Similar to the second stage, the solution was autoclaved and cooled before evaluating its clarity and precipitation. In the fourth section, the coagulability of peptone was tested. A 5% aqueous peptone solution was filtered and boiled, and any observed precipitation was noted.

The microorganisms employed in this study are commonly used industrial bacteria (E. coli and B. subtilis) and pathogenic bacterium (S. aureus). These microorganisms were used to assess the efficacy of HIL peptones in comparison to commercial peptones for cultivating microorganisms, taking into account their distinct genera and natures. To determine the ideal bacterial inoculum concentrations, B. subtilis (cultivated at 30 °C), S. aureus and E. coli (cultivated at 37 °C) were separately inoculated into both Luria-Bertani (LB) and HIL peptone liquid media at concentrations ranging from 1.0% to 5.0% (v/v). Following a 12-hour shaking incubation at a consistent agitation speed of 180 rpm, the absorbance was measured at 600 nm to identify the optimal inoculum concentration for each bacterium. Subsequently, B. subtilis and S. aureus were inoculated at their respective optimal concentrations into LB and HIL peptone liquid media. These cultures were incubated at 30 °C and 37 °C, and samples were collected every two hours for bacterial count determination. The viable bacterial counts (cfu/mL) and corresponding time intervals were then used to construct the growth curves.

Finally, the growth kinetics of the bacterial strains in both media types were evaluated using the Verhulst logistic model (Eq. (4); Ding et al., 2016). The growth curves provided the necessary data to determine the maximum biomass concentration (Xmax), maximum specific growth rate (μmax), and lag phase (λ). These parameters were calculated using OriginPro 2021 to assess the effect of HIL and commercial peptone on bacterial growth: X t = X max 1 + e 2 + μ max λ t where Xt (cfu /mL) is the biomass concentration over time, Xmax (cfu /mL) is the maximum biomass concentration, μmax (h−1) is the maximum specific growth rate, and λ (h) is the lag phase.

Data analysis software

The experimental results were expressed as mean values ±standard deviations by organizing the raw experimental data in Microsoft Excel and then statistically analyzed using IBM SPSS Statistics 22.0. Response surface optimization was carried out using Design-Expert.V8.0.6.1. Growth curves and fitting curves were plotted using Origin Pro 2021 (9.8.0.200).

Results and Discussion

RSM experimental results

Variance analysis and model validation

Using the data in Table 2, the regression equation obtained was, as follows: Y = 19.56 + 1.52A + 0.74B + 0.56AB − 4.00A2 − 3.53B2.

Table 2:
Central composite design test results.
Serial number Factors Hydrolysis predictions (%) Hydrolysis degree actual value (%)
A (%) B (°C)
1 0 0 19.56 19.42 ± 0.27
2 1.414 0 13.71 14.13 ± 0.31
3 0 1.414 20.61 19.07 ± 0.27
4 −1 −1 13.86 14.97 ± 0.27
5 0 0 19.56 18.97 ± 0.31
6 −1 1 14.22 15.20 ± 0.41
7 1 −1 15.78 17.33 ± 0.27
8 1 1 18.38 20.40 ± 0.27
9 0 0 19.56 18.62 ± 0.15
10 0 0 19.56 18.91 ± 0.13
11 0 −1.414 18.51 17.33 ± 0.15
12 −1.414 0 9.41 10.63 ± 0.15
13 0 0 19.56 18.20 ± 0.27
DOI: 10.7717/peerj.16995/table-2

As shown in Table 3, the regression analysis demonstrated that A, B, A2, and B2 were highly significant, as evidenced by P-values less than 0.01. Furthermore, the model itself was found to be highly significant (P < 0.01). The lack-of-fit term was not significant (P > 0.05), indicating that the model provided a good fit to the experimental data and had good stability. The determination coefficient (R2) was 0.9752, suggesting that 97.52% of the variability in the response could be explained by the model. The adjusted R2 was 0.9574, further confirming the model’s reliability in predicting experimental outcomes. The model effectively fit the real response surface, thereby elucidating the interrelationship among enzyme concentration, temperature, and hydrolysis. These results showed the model was suitable for analyzing and forecasting the results of the defatted HIL hydrolysis process.

Table 3:
Variance analysis results of response surface quadratic regression equation model.
Source Sum of squares Degree of freedom Mean square F value P-value
Models 46.77 5 9.35 54.99 <0.0001*
A-Enzyme addition 4.13 1 4.13 24.25 0.0017*
B-Temperature 2.19 1 2.19 12.90 0.0088*
AB 0.20 1 0.20 1.17 0.3159
A2 7.04 1 7.04 41.41 0.0004*
B2 35.40 1 35.40 208.07 <0.0001*
Residuals 1.19 7 0.17
Misfit term 0.97 3 0.32 6.02 0.0578
Pure error 0.22 4 0.05
Total difference 47.96 12 R2 = 0.9752; R adj 2 = 0 . 9574
DOI: 10.7717/peerj.16995/table-3

Notes:

Extremely significant difference (P < 0.01).

Response surface analysis

This study revealed a notable trend: the hydrolysis degree, at a constant enzyme concentration, initially increased and later decreased as the temperature varied between 45 °C and 60 °C (Fig. 1). As shown in Fig. 1 by the black point in the figure, the hydrolysis degree peaked at 55 °C. The underlying mechanism of this trend is the progressive depletion of the substrate concentration, as it was hydrolyzed by the increasing enzyme quantity until it was fully hydrolyzed. The concentration of free amino nitrogen and the hydrolysis degree reached a plateau. Moreover, the higher slope for temperature in comparison to enzyme dosage in the response surface analysis indicated a more pronounced impact of temperature on the enzyme-catalyzed reaction rate.

Response surface and contours of the effect of enzyme addition and temperature on the degree of hydrolysis.
Figure 1: Response surface and contours of the effect of enzyme addition and temperature on the degree of hydrolysis.

Optimization and validation

The predicted optimal conditions using the regression equation for hydrolysis were determined to be an enzyme dosage of 1.7% (w/w) at 54 °C, with a theoretical hydrolysis degree of 19.75% ±0.995%. Three validation experiments under these conditions yielded a hydrolysis degree of 19.25% ±0.49% for the defatted HIL. The relative error between the observed and theoretical values was 2.60%, and the difference was statistically non-significant (P > 0.05). These results provide compelling evidence of the model’s practicality and reliability for experimental optimization and for identifying the best hydrolysis conditions.

General characterization of HIL peptone and commercial peptone

As delineated in Table 4, the HIL peptone exhibited a darker color compared to commercial peptone. This variation is likely attributed to the higher sugar content in the raw material, instigating Maillard reactions and caramelization under elevated temperature conditions. These reactions intensify the color of the final product. Nevertheless, the product’s appearance aligns with the quality standard of peptone and does not adversely influence the growth or reproduction of microorganisms. Optimal peptone coloration should steer clear of extreme darkness, as it could interfere with morphological observation and the growth and reproduction assays of microorganisms. In assessments of clarity, sedimentation, and solubility, both HIL peptone and commercial peptone demonstrated comparable results, displaying clarity, transparency, and full dissolution within 30 min. Clarity and transparency are fundamental properties for peptones used as biochemical reagents in microbial culture so microbial morphologies can be observed during cultivation. A clouded peptone solution may compromise the accuracy of observational results (China Committee for Standardization of Biological Products, 2000).

Table 4:
Test results of general indexes of HIL peptone and tryptone.
Item HIL peptone Tryptone
Color Light brown Light yellow
Clarity Clarity and transparency Clarity and transparency
Precipitation Small amount of precipitation No precipitation
Dissolution time <30 min <30 min
pH 8.83 ± 0.03 7.10 ± 0.01
Alkaline precipitation A little precipitation No precipitation
Phosphate precipitation Little precipitation No precipitation
Coagulable peptone No precipitation No precipitation
DOI: 10.7717/peerj.16995/table-4

The pH value of HIL peptone was 8.8, while the pH value of commercial peptone was 7.1. Bruno et al. (2019) indicated that the pH of the contents varies based on the position of intestinal lumen, at which the anterior and central portion of the midgut is acidic, whereas it is alkaline in the posterior portion of the midgut. Hence, the metabolites excreted by the worms during growth were alkaline. In addition, the pH of HIL peptone prepared was not adjusted, likely contributing to the weakly alkaline appearance of the HIL peptone. The HIL protein hydrolysate contains a diverse range of digestive enzymes including cellulases, lipases, α-amylases, proteases, and pancreatic proteases. In the process of preparing HIL peptone, the pH value of the reaction system was not adjusted, leading to alkaline precipitation. Both alkaline and phosphate precipitates were observed in the HIL peptone, while pancreatic protein hydrolysate did not exhibit such precipitation. This phenomenon may be attributed to the presence of a considerable amount of chitin, which cannot be removed, in the larvae stage of HIL, resulting in the formation of slight precipitates in the protein hydrolysate solution. Nevertheless, both HIL peptone and commercial peptone met the growth requirements of microorganisms in terms of coagulable peptones.

Chemical properties of HIL peptone and commercial peptone

Table 5 indicates the subtle differences between HIL peptone and commercial peptone composition, including their respective moisture, ash, total nitrogen, amino nitrogen, phosphorus, and chloride profiles. These elemental constituents within HIL peptone aligned with the quality benchmarks for peptone (Chen, 1995). The moisture content of HIL peptone and commercial peptone were recorded at 4.34% and 4.89%, respectively. Elevated moisture levels in peptone increased the occurrence of clumping phenomena, resulting in the degradation and eventual spoilage of its constituent elements, negatively impacting microbial growth and product synthesis. These results indicate moisture is an essential control parameter. The ash content of HIL peptone was 12.77%, which was similar to the 13.08% ash content of commercial peptone.

Table 5:
Chemical properties of HIL peptone and tryptone.
Item HIL peptone Tryptone Peptone for biochemical reagent
Moisture (%) 4.34 ± 0.01b 4.89 ± 0.02a <5.0
Ash content (%) 12.77 ± 0.23b 13.08 ± 0.08a <15.0
Total nitrogen (%) 12.38 ± 0.12b 12.70 ± 0.12a >12.0
Amino nitrogen (%) 2.53 ± 0.02b 3.70 ± 0.03a >2.5
Phosphorus content (%) 0.53 ± 0.03b 0.75 ± 0.03a
Chloride content (as chlorine) (%) 1.43 ± 0.03a 0.40 ± 0.12b ≤2.0
DOI: 10.7717/peerj.16995/table-5

Notes:

Data for HIL peptone and tryptone were derived from this study, while data for biochemical reagent peptone were sourced from literature (Chen, 1995). Different lowercase letters in the shoulder labels of data in the same row in the table indicate significant differences (P < 0.05), and the same letters indicate no significant differences (P > 0.05).

The total nitrogen content of HIL peptone and commercial peptone were 11.38% and 12.70%, respectively. Peptone plays a crucial role as the primary nitrogen source for nutrients during microbial growth and metabolism, so nitrogen content is a vital quality assessment criterion (Taskin et al., 2016). Phosphorus content in both HIL peptone and commercial peptone fell below 1.0%. Phosphorus is a crucial nutrient for the synthesis of microbial biomolecules, such as nucleic acids and proteins, and serves as a crucial pH buffer substance in the culture medium, highlighting the importance of controlling phosphorus levels for microbial growth and metabolism. The chloride content of HIL peptone and commercial peptone were 1.43% and 0.40%, respectively, which both comply with the microbial culture medium standards of <2.0 (Chen, 1995). It is noteworthy that the differences in microbial growth performances using HIL peptone and commercial peptone were insignificant even though the chloride content of HIL peptone was relatively higher than the commercial peptone.

Water solubility index of HIL peptone and commercial peptone

Figure 2 shows the water solubility index (WSI) of HIL peptone and commercial peptone at various pH levels. Both HIL peptone and commercial peptone exhibited an initial increase in water solubility, followed by a subsequent decrease. At pH 9.0, the HIL protein hydrolysate reached its highest WSI at 5.20%, while commercial peptone reached a peak value of 6.46% at pH 7.0. These comparable values and trends suggest functional parallels between the hydrolysates. The lowest solubility for both hydrolysates was observed at pH 1.0. At this pH value, the absence of repulsive electrostatic forces between protein molecules leads to their aggregation or precipitation, indicating the isoelectric point of the proteins. This phenomenon implies that under non-extreme pH conditions, the properties of HIL peptones remain stable.

Water solubility index of two peptones at different pH values.

Figure 2: Water solubility index of two peptones at different pH values.

Analysis of amino acids in the HIL hydrolysate

Figure 3 delineates the respective amino acid compositions of HIL peptone, commercial peptone, and bovine blood peptone. The HIL peptone has a significantly higher percentage of tyrosine (12.92%), arginine (11.59%), leucine (11.23%), and phenylalanine (9.38%) compared to the other two peptones. Conversely, the commercial peptone has significantly higher levels of glutamic acid (17.53%), glycine (16.79%), aspartic acid (12.22%), and alanine (10.10%) than the other two peptones. The bovine blood peptone, as analyzed by Rezaee et al. (2023) primarily contains lysine (18.54%), glutamic acid (12.83%), aspartic acid (10.95%), and alanine (8.706%). The amino acids present in these peptones are integral to microbial growth and perform critical roles such as aiding microbial protein synthesis, catalyzing enzymatic reactions, and providing antioxidative properties. The work of Triani et al. (2021) indicates that enzymatic hydrolysis can effectively elevate amino acid content in BSF prepupae. Triani et al. (2021) also found that protein hydrolysate is not only abundant in amino acids, but also contains short chain peptides, which are more readily assimilable by microorganisms.

Percentage contribution of each amino acid to the total amino acids in the peptone sample (HIL peptone, commercial peptone, and bovine blood peptone).

Figure 3: Percentage contribution of each amino acid to the total amino acids in the peptone sample (HIL peptone, commercial peptone, and bovine blood peptone).

As shown in Fig. 4, a principal component analysis (PCA) revealed amino acid differences between HIL peptone, bovine blood peptone, and commercial peptone based on 22 different amino acids. The direction and length of the arrows in the figure indicate the direction of the principal components and the contribution of each of the differences. The HIL peptone exhibited distinct characteristics from the bovine blood peptone and commercial peptones, implying a low correlation between them. The primary differences among the three peptones are attributable to the content of tyrosine, arginine, and leucine. Bovine blood and commercial peptones shared a high correlation, as indicated by the close proximity of their respective arrows, with glycine, glutamic acid, and lysine highlighted as the principal amino acids responsible for their dissimilarity. Despite substantial differences in amino acid composition, the HIL peptone and commercial peptone did not significantly impact microbial growth. This fact enhances the appeal of HIL peptone as an economically viable and environmentally sustainable substitute to conventional peptones. HIL peptone is particularly beneficial for microbial cultures that demand swift nutrient absorption and energy conservation.

Principal component analysis for assessing similarities among the HIL peptone, commercial peptone, and bovine blood peptone based on amino acid compositions.

Figure 4: Principal component analysis for assessing similarities among the HIL peptone, commercial peptone, and bovine blood peptone based on amino acid compositions.

In summary, the amino acid composition variations among the peptones could exert unique effects on the growth and metabolism of microorganisms. This is particularly relevant in the field of industrial biotechnology, where modifying the nutrient composition of the growth medium could optimize specific microbial processes. Future research could exploit this potential by investigating the impacts of these peptones on a range of industrially relevant microorganisms.

Effect of HIL peptone and commercial peptone on the growth effect of the strain

Figure 5 and the File S1 show that the optimum inoculum volume for the three species of bacteria were 2.0% (v/v) in HIL peptone medium and 3.0% (v/v) in commercial peptone. The seed cultures of B. subtilis, S. aureus, and E. coli were inoculated into HIL peptone liquid medium and LB liquid medium at their respective optimum inoculation levels. Growth curves were measured every two hours, revealing analogous growth trends in HIL peptone and commercial peptone for these bacteria, as shown in Fig. 5. The growth phases included a lag phase, logarithmic growth phase, and stationary phase.

Determination of the optimum inoculum volume of Bacillus subtilis and Staphylococcus aureus in tryptone (A) and HIL peptone (B).

Figure 5: Determination of the optimum inoculum volume of Bacillus subtilis and Staphylococcus aureus in tryptone (A) and HIL peptone (B).

The use of peptone in media tends to enhance growth, with peptone’s key role being to serve as an organic nitrogen source that fulfills bacterial cellular requirements for amino acids and peptide. This study performed a comparative analysis of the logistic kinetic parameters for bacterial strains grown in both commercial peptone and HIL peptone mediums. This comparison, outlined in Table 6, included the maximum population size (Xmax), maximum specific growth rate (μmax), and lag phase (λ) of S. aureus, B. subtilis and E. coli cultivated in both mediums. An intriguing finding was the higher biomass yield (Xmax = 4.29 × 109cfu) of S. aureus cultured in HIL peptone compared to that in commercial peptone (Xmax = 4.13 × 109cfu). While other growth parameters did not show significant differences (p > 0.05), the maximum specific growth rate of B. subtilis in HIL peptone (μmax = 0.42 h−1) was slightly higher than that in commercial peptone (μmax = 0.32 h−1). The cultivation of E. coli with HIL peptone also showed enhanced μmax (μmax = 1.11 h−1 in HIL peptone and μmax = 0.73 h−1 in commercial peptone), suggesting potential advantages of HIL peptone for fast-growing cultures. The growth curves in Fig. 6 illustrate the variation in growth patterns of different bacterial strains under different culture conditions. The fit of the logistic model with the growth data of all bacterial strains examined substantiated its suitability for this study. Furthermore, a shorter lag phase was observed for both S. aureus (λ = 3.97 h) and B. subtilis (λ = 14.67 h) using HIL peptone compared with the commercial peptone medium. This expedited lag phase and the accelerated increase in bacterial concentration during the logarithmic growth phase underscore the potential of HIL peptone for microbial cultivation.

Table 6:
Growth kinetic parameters generated from the logistic model.
Bacterial strain Medium μmax (h−1 ) Xmax (cfu/mL) λ (h) Radj2
Bacillus subtilis Tryptone 0.35 ± 0.04a 8.37 ± 0.32a 15.28 ± 0.54a 0.9880
HIL peptone 0.42 ± 0.05a 7.98 ± 0.22b 14.67 ± 0.50a 0.9888
Staphylococcus aureus Tryptone 0.54 ± 0.04a 4.13 ± 0.07a 4.48 ± 0.24a 0.9967
HIL peptone 0.47 ± 0.03a 4.29 ± 0.08a 3.97 ± 0.26a 0.9964
Escherichia coli Tryptone 0.73 ± 0.03a 6.24 ± 0.04a 2.59 ± 0.14a 0.9980
HIL peptone 1.11 ± 0.09b 5.99 ± 0.05a 3.57 ± 0.16b 0.9967
DOI: 10.7717/peerj.16995/table-6

Notes:

In the table, different letters on the shoulder labels of the same strain and the same column data indicate significant differences (P < 0.05), and the same letters indicate no significant differences (P > 0.05).

Growth curve and fitting curve of (A) S. aureus, (B) B. subtilis, and (C) E. coli.

Figure 6: Growth curve and fitting curve of (A) S. aureus, (B) B. subtilis, and (C) E. coli.

Based on the fact that bacteria cultured in HIL peptone yielded similar results to those cultured in commercial peptone in terms of growth profile and maximum bacterial growth, HIL peptone could serve as an effective substitute for meat-derived commercial peptone. This conclusion aligns with the proposition of Vázquez et al. (2020) that aquaculture peptones could be used as alternatives to meat-derived commercial peptone. In similar studies, Vázquez et al. (2020) successfully used thermal or enzymatic techniques to derive peptone from fish byproducts for the cultivation of Lactobacillus bacteria. Rezaee et al. (2023) also demonstrated that bovine blood protein hydrolysate, obtained via integrated heat and enzymatic treatment, showed a marked physico-chemical similarity to commercial peptone, a meat-derived product.

Fish protein products are often marred by rancidity and the unpleasant odor of fish oil, as pointed out by Bridson & Brecker (1970). HIL peptone may present a superior option, although further research should be conducted on a broader range of bacteria and their metabolites in fermentation for a more comprehensive assessment of the potential of HIL peptone as an alternative to meat-derived commercial peptone.

Conclusions

A recent market analysis revealed that dried HIL is globally used as very low-value animal feed or fishmeal. This study provides another potential HIL application, highlighting the value-added potential of HIL peptone in both scientific and industrial applications. The results of this study indicate that HIL peptone could be applied as a high-value medium as the cultivation of B. subtilis, S. aureus, and E. coli with HIL peptone achieved similar microbial growth performance as those using commercial peptone. The extracted HIL peptone could thus be used as a cultivation medium as an alternative to conventional commercial peptone media.

Supplemental Information

Data on proteolytic cleavage of HIL proteins by proteases and optimal inoculum size for E. coli

The pages 1 and 2 show the protease on HIL proteins at different temperatures additions time pH, and the page 3 shows the optimum inoculum of E. coli in HIL peptones and commercial peptones.

DOI: 10.7717/peerj.16995/supp-2
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