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Article

Sonication-Assisted Decellularization of Waste Tilapia (Oreochromis niloticus) Heads for Extracellular Matrix Extraction

1
Environmental Science Graduate Program, Department of Biological Sciences, College of Science and Mathematics, Mindanao State University-Iligan Institute of Technology, Iligan City 9200, Philippines
2
Center for Sustainable Polymers, Mindanao State University-Iligan Institute of Technology, Iligan City 9200, Philippines
3
Department of Chemical Engineering and Technology, College of Engineering, Mindanao State University-Iligan Institute of Technology, Iligan City 9200, Philippines
*
Author to whom correspondence should be addressed.
Biomass 2024, 4(4), 1078-1091; https://doi.org/10.3390/biomass4040060
Submission received: 29 July 2024 / Revised: 2 September 2024 / Accepted: 24 September 2024 / Published: 8 October 2024

Abstract

:
Tilapia (Oreochromis niloticus), which is extensively farmed globally and ranks as the second most cultivated fish in the Philippines, generates significant amounts of waste that are often underutilized. One specific type of waste material consists of fish heads, which contain a valuable source of extracellular matrix (ECM). This study aims to evaluate the effects of sonication as a viable decellularization method for the extraction of ECM from tilapia fish heads. Particularly, two treatments were tested on the head samples: sonication-assisted decellularization (dWS) using a water bath sonicator, and decellularization without sonication (dNS), each with different contact times (5 min and 10 min). Histological analysis with H and E staining and DNA quantification revealed that sonication-assisted samples (dWS) showed a greater reduction in basophilic components and DNA content, achieving a 93.7% removal rate. These dWS samples also had the highest protein loss, retaining only 33.86% of the original protein. SDS–PAGE analysis indicated that both dWS and dNS samples maintained similar collagen structures, as evidenced by identical subunit bands. ATR–FTIR spectra confirmed the presence of collagen type I in all samples, detecting characteristic amides A, B, I, II, and III. The results revealed that varying treatments and contact times had significant effects on the physical and mechanical properties of the decellularized extracellular matrix (ECM). These findings highlight the effectiveness of sonication in the decellularization process, particularly for utilizing waste tilapia heads.

Graphical Abstract

1. Introduction

As one of the most extensively farmed fish species globally, tilapia (Oreochromis niloticus) production has grown to be a significant part of the aquaculture sector, with millions of tons produced annually in various countries. In 2021, the total global production of tilapia was approximately 6.8 million metric tons and was projected to increase by 2–4 percent in 2022 [1]. The Philippines, ranking eighth globally in fish production, maintained its position as the sixth world producer of farmed tilapia with 304,326.59 MT produced in 2020 [2]. Enhanced production results in increased and substantial waste, including skin, scales, bones, viscera, and heads [2]. However, this waste if not properly disposed can lead to environmental concerns such as localized pollution and water quality degradation [3,4,5]. Current waste utilization primarily targets low-value, products such as fishmeal and fertilizers. However, there is growing interest in exploring higher-value applications, such as the extraction of enzymes like proteases from fish viscera [6,7,8]. Extracting valuable products, particularly from tilapia heads, holds significant potential for industries including food, pharmaceuticals, and cosmetics [9].
Fish heads, constituting 29–35% of the fish’s mass, serve as a significant source of marine-based extracellular matrix (ECM). Characterized by its richness in diverse proteins (collagens, elastin, fibrillin, fibronectin, laminin), proteoglycans (heparin sulfate, chondroitin sulfate, keratin sulfate, GAGs), and growth factors, the ECM serves as a reservoir for the molecular elements and growth factors present in the native tissue [10]. The predominant utilization of ECM revolves around its role in constructing tissue scaffolds and presents a significant avenue in tissue engineering and regenerative medicine [11,12].
Demineralization and decellularization are essential methods employed to extract ECM from fish heads. A common demineralizing agent is hydrochloric acid, specifically at a concentration of 0.5 N for a duration of 1 h [13,14]. Important factors in an effective demineralization method include efficient mineral removal, collagen preservation, and the assessment of micro-porosity [15]. Concurrently, decellularization involves the removal of native cells from tissue while retaining a three-dimensional ECM structure, preserving bioactivity and mechanical properties [16]. This approach offers a distinctive top-down method for creating natural scaffolds in tissue engineering [16]. However, careful selection of effective decellularization agents is imperative to minimize disruptions and ensure thorough cell removal while preserving the structural and functional proteins within the three-dimensional structure, referred to as the decellularized extracellular matrix (dECM). As each decellularization agent induces distinct effects on ECM proteins, the choice of method should be tailored to the tissue biomechanics essential for optimal functionality.
In tissue decellularization, two of the most widely studied chemical detergents are Triton X-100 (TX100) and sodium dodecyl sulfate (SDS). A study by Li et al. (2021) introduced an optimized dextrose/sodium lauryl ester sulfate (SLES)/TX-100 cocktail method for porcine whole lungs decellularization to generate a clinical-scale bioengineered scaffold [17]. This investigation, alongside with previous study, highlighted TX-100’s potential disruption on lipid–lipid and lipid–protein interactions, despite its effectiveness in solubilizing cell membranes, disengaging cytoskeletal proteins, and detaching DNA and DNA remnants from proteins [17,18]. Another study recommended the utilization of SLES over SDS due to SDS’s prolonged tissue treatment, causing significant ECM degradation [19]. Other studies also highlighted the capability of SDS to remove cells and DNA components while potentially damaging collagen and glycosaminoglycans during prolonged treatment [20,21]. However, Kawasaki et al. (2015) identified SDS as a promising decellularization agent due to its accessibility and efficient cell removal despite the issue of pronounced ECM damage [22]. Nevertheless, TX-100 and SDS are recognized as meeting the rigorous criteria for effective decellularization [21,23]. The effectiveness of TX-100 on decellularization is contingent upon the inherent characteristics of the tissue undergoing the procedure and the integration of other decellularization methods [23]. Prior assessments of SDS affirm its capability for removal of cellular components and achieving a minimum 90% reduction in host DNA content [21]. Moreover, SDS is a viable decellularizing agent which exhibited a low likelihood of inducing toxic effects on cells, if thoroughly removed [21].
Several studies, including those conducted by Keshvari et al. (2023) on kidney tissue with SLES and SDS, Yaghoubi et al. (2022) and Hassanpour et al. (2018) employing SLES for rat liver and human ovarian tissue, respectively, and Miranda et al. (2021) using TX-100 for murine skeletal muscles, have explored diverse decellularization methodologies [24,25,26,27]. However, these methods have their limitations, including extended treatment duration, alterations in mechanical properties, and potential residual toxicity [28]. To address the constraints of existing decellularization protocols, researchers are actively developing new methods with the goal of reducing treatment duration, minimizing exposure to chemical or organic agents, and diminishing tissue damage [29]. Sonication, recognized as an alternative for decellularization, involves the application of ultrasonic energy to induce cavitation phenomena, leading to the physical dissociation of molecules by causing the implosion of air bubbles in a liquid [29,30]. The utilization of sonication in the process of decellularization offers significant advantages, primarily due to its multifaceted impact on the medium in which it is transmitted. It is advantageous for selectively dissociating cells from the extracellular matrix (ECM) and rupturing cell membranes with lesser contact time, while preserving the key proteins and biomolecules within the ECM. Nevertheless, in the absence of a subsequent washing procedure, the released nuclear materials may accumulate within the scaffold, potentially compromising the overall effectiveness of the decellularization process [29]. Notably, Shen et al. (2020) introduced a method incorporating freezing–thawing, sectioning, and sonication in deionized water for the decellularization of cartilage [31]. Azhim et al. (2013) proposed a sonication protocol using SDS for decellularizing aortic tissues [32]. These studies highlight the potential of sonication in achieving complete decellularization of the ECM, contributing valuable insights to decellularization methods.
At present, a standardized methodology for the decellularization of tilapia heads is yet to be established. This study explores the viability of tilapia fish heads as a promising source for the production of dECM. The primary aim is to evaluate the impact of integrating sonication in decellularization, utilizing 1% TX-100, 1% SDS, and deionized water, into established methods. This integration is designed to reduce treatment duration, limit exposure to decellularizing agents, and minimize tissue damage in the resulting dECM. To assess the effectiveness of sonication-assisted decellularization of tilapia heads, specific criteria established by Kawecki et al. (2018) are employed [33]. These criteria include the absence of visible nuclear remnants, a DNA content of less than 50 ng/mg of dried tissue, and the preservation of the ECM structure [34]. These benchmarks serve as critical indicators to assess the success of decellularization while ensuring the integrity of the ECM [33]. This research represents a significant endeavor to enhance and optimize the decellularization process for tilapia heads, providing valuable insights for the development of robust protocols in the broader context of tissue engineering and regenerative medicine.

2. Materials and Methods

2.1. Sample Preparation and Demineralization

The methods employed for sample preparation and demineralization were adapted from the techniques utilized in the studies conducted by Shen et al. (2020) and Nisperos et al. (2023) [13,14]. Briefly, 30 kg of tilapia, freshly harvested from the previous day and weighing approximately 400–600 g each, were purchased from a local fish market in Tambacan, Iligan City, Philippines, and stored in an ice-cooled container. The tilapia heads were manually removed and thoroughly washed with cold distilled water after the soft tissues were removed to maintain the preservation of the samples. The samples were ground using an electric grinder and pre-washed with phosphate-buffered saline (1X PBS, pH 7.4) solution for 2 h to remove impurities.
Subsequently, the ground samples underwent demineralization through immersion and agitation in a 0.5 N hydrochloric acid (HCl) solution for 1 h with a mass-to-volume ratio of 1:10. After demineralization, the samples were washed and neutralized with distilled water, and were subsequently referred to as demineralized tilapia head (dmTH) samples.

2.2. Decellularization Process

The dmTH samples were then decellularized under two treatments. The first treatment employed was adapted from the study conducted by Lin et al. (2021) using sonication-assisted (dWS) decellularization through a water bath sonicator (YTK-YASON, Shenzhen, China) [29]. The dmTH samples were immersed in a 50 mL beaker with decellularizing reagents for contact times of 5 and 10 min, while being subjected to ultrasound at a frequency of 40 kHz.
The second method involved the same decellularization method as the first, but without sonication (dNS), relying solely on agitation.
In both treatments, the decellularization was conducted at room temperature, specifically 25 °C, using three different decellularizing reagents. These reagents were 1% Sodium Dodecyl Sulfate (SDS) (Loba Chemie, Mumbai, India), 1% Triton X-100 (TX-100) (Loba Chemie, Mumbai, India), and deionized water (DEW) with a mass-to-solvent ratio of 1:10. The summary of the decellularization conditions is presented in Table 1.
After decellularization, the samples were washed thrice for 15 min through agitation with distilled water. The washed samples were then referred to as dWS and dNS corresponding to sonication-assisted and without sonication decellularization treatments, respectively. In addition, all decellularized samples are referred to as dcTH.
The moisture from the dWS and dNS was removed through lyophilization by initially freezing in an ultralow-temperature refrigerator (Haier, Qiangdao, China) at a temperature of −80 °C for at least 24 h. Subsequently, the frozen samples underwent lyophilization using a freeze dryer (HyperCOOL 3055 Gyrozen, Gimpo, Republic of Korea) operating under a vacuum at −55 °C for a period of 24 h.

2.3. Evaluation of the dECM

2.3.1. Hematoxylin and Eosin (H and E) Staining

The methodology for histological staining was adapted from a previous study conducted by Oliveira et al. (2013) with some modifications [35]. Approximately 4 × 4 mm2 dcTH samples were fixed in 10% buffered formalin for a duration of 72 h. Following fixation, the dcTH samples were dehydrated using ethanol. The samples were treated with xylene and embedded in paraffin wax. The embedded samples were then sliced into thin sections using a microtome (SLEE medical GmbH, Nieder-Olm, Germany). These sections were stained using hematoxylin and eosin (H and E) (Biognost®, Zagreb, Croatia), as per the method described by Ijima et al. (2019) [36]. Finally, the stained samples were examined and photographed using a phase-contrast microscope (Olympus CX43RF, Tokyo, Japan) to assess the presence of intact nuclei.

2.3.2. DNA Quantification

A measure of 25 mg of the dcTH samples was weighed and transferred into individual 1.5 mL DNA-free microtubes. For DNA extraction, the DNeasy Blood and Tissue Kit (Qiagen®, Valencia, CA, USA) was used. The quantification of residual DNA content was performed using the Qubit™ 1X dsDNA HS Assay Kits (Thermo Fisher Scientific, Waltham, MA, USA). The methods were conducted in accordance with the manufacturer’s instructions.

2.3.3. Protein Quantification

To determine the protein content, the dcTH samples were digested in a 0.5 M acetic acid containing 0.01% pepsin. The mixtures were stirred for 48 h to ensure complete breakdown of proteins. After digestion, the solutions underwent centrifugation at 1670 rcf for 30 min to separate the supernatant from the solid residue. The collected supernatants were analyzed according to the method of Steinhilber (2018) using a Qubit Protein Assay Kit (Thermo Fischer Scientific, Waltham, MA, USA) and the protein concentrations were quantified with a Qubit Fluorometer (Thermo Fischer Scientific, Waltham, MA, USA) [37].

2.3.4. Attenuated Total Reflectance–Fourier Transform Infrared Spectroscopy (ATR–FTIR) Analysis

The ATR–FTIR (Shimadzu IRTracer-100, Kyoto, Japan) was used to analyze and identify chemical bonds and functional groups present in the tissue. This allows for the characterization and identification of organic and inorganic compounds based on their unique infrared absorption spectra. The functional groups present in dmTH and dcTH were identified by scanning samples within the wave number range of 400 cm−1 to 4000 cm−1.

2.3.5. Sodium Dodecyl-Sulfate–Polyacrylamide Gel Electrophoresis (SDS–PAGE)

SDS–PAGE was conducted according to the method of Laemmli (1970) with slight modification [38,39]. Briefly, dcTH samples were solubilized using 0.5 M acetic acid with a sample/solvent ratio of 1:100 and 0.01% pepsin was added (Merck, St Louis, MO, USA), which was then stirred continuously for 48 h. Electrophoresis of the solubilized samples was conducted using a mini vertical protein electrophoresis system (omniPAGE CVS10DSYS-CU, Cleaver Scientific, Warwickshire, United Kingdom) at 200 V and 20 mA for 1 h. After electrophoresis, the gels were stained using Coomassie Brilliant Blue R-25 (Abcam, Waltham, MA, USA).

2.3.6. Differential Scanning Calorimetry (DSC)

The denaturation temperature of the dcTH samples was determined using a Differential Scanning Calorimeter (DSC 4000, Perkin Elmer, Waltham, MA, USA). The analysis was carried out under a nitrogen-purged atmosphere within a temperature range of 30 °C to 300 °C, with a heating rate of 10 °C/min.

2.3.7. Residual Detergent Determination

The concentration of residual detergents in the dcTH samples was determined using a UV–VIS spectrophotometer (Thermo Fisher Scientific GENESYS 10S, Waltham, MA, USA). To quantify the residual TX-100 in the samples, the method outlined by Pavlović et al. (2016) was employed by modifying the concentration of standards used [40]. For residual SDS, the methylene blue examination method described by Alizadeh et al. (2019) was followed [41].

2.3.8. Statistical Analysis

The quantitative data obtained from the experiment, based on three replicates, were presented using the mean and the standard deviation (mean ± SD). To assess the significance of differences among multiple groups, one-way analysis of variance (ANOVA) was employed. This test allows comparison among several groups simultaneously. Subsequently, to identify specific group differences in DNA quantification, protein quantification, and residual detergent determination, a post hoc Tukey test was conducted. In this analysis, a result was considered significant when the probability value (p-value) associated with the comparison was less than 0.05.

3. Results

3.1. Hematoxylin and Eosin (H and E) Staining

The H and E staining of the raw sample, as shown in Figure 1A, revealed the presence of basophilic components, evident by their characteristic blue staining pattern. Notably, after decellularization, a significant decrease in the basophilic components was observed for all dcTH samples, indicating the removal of cellular materials in the tissue. Moreover, the dWS samples, as shown in Figure 1H–M, exhibited a more pronounced reduction in the blue stains as compared to the dNS samples (B–G). In addition, the samples treated with 1% SDS (Figure 1B,C,H,I) and TX-100 (Figure 1D,E,J,K) exhibited minimal blue stains when compared to the samples treated with DEW (Figure 1F,G,L,M). Furthermore, dcTH samples treated at higher contact time were observed to have a significant reduction in basophilic components. Overall, the use of 1% SDS for 10 min with sonication resulted in the least number of basophilic components observed in the tissue among the dcTH samples.

3.2. DNA Quantification

The extent of cell removal through decellularization was assessed by analyzing the residual DNA in the dcTH samples, as illustrated in Figure 2. All decellularization treatments resulted in a significant reduction of DNA content (p < 0.05). Notably, all dWS samples exhibited significant removal of DNA compared to dNS samples (p < 0.05). The DEW for 5 min showed the highest DNA residual with 84.21 ng/mg. Interestingly, the utilization of the sonication-assisted method with 1% SDS for 10 min revealed the lowest residual DNA at 7.67 ng/mg, with around 93.7% removal. Additionally, the quantity of residual DNA is generally lower at longer decellularization time, noting that contact time has a significant impact on the DNA removal from the tilapia heads (p < 0.05).

3.3. Protein Quantification

The protein content of the dcTH samples is shown in Figure 3. A significant reduction in residual protein was observed in all dcTH samples as compared to the raw samples, which initially contained 218.25 ± 3.63 µg/mL of protein. The samples treated with DEW for 5 min in both dNS and dWS displayed the highest protein content. Specifically, the DEW-treated with sonication showed lower protein content (126.67 ± 2.75 µg/mL) as compared to the DEW without sonication samples (147.08 ± 2.00 µg/mL). In contrast, 1% SDS for 10 min with sonication yielded the lowest protein content of 73.92 ± 3.13 µg/mL. Samples treated with sonication illustrated lower protein content compared to those without sonication (p < 0.05). Furthermore, statistical analysis shows that both treatments and duration significantly affect the protein content of the ECM (p < 0.05).

3.4. Attenuated Total Reflectance–Fourier Transform Infrared Spectroscopy (ATR–FTIR) Analysis

The findings depicted in Figure 4A,B provide evidence of the preservation of collagen type I markers after decellularization. FTIR spectra obtained from the dNS samples (Figure 4A) revealed distinct band positions indicative of key components. Specifically, the amides I, II, and III were observed at 1645 cm−1, 1552 cm−1, and 1242 cm−1, respectively. The amide A band (3324 cm−1) was attributed to CH2 stretching, while the presence of collagen was signaled by the amide B band (3093 cm−1) [3]. Additionally, intensities of CH2 symmetric (2840 cm−1) and antisymmetric stretching bands (2920 cm−1) were more pronounced in samples treated with 1% TX-100. This aligns with previous reported studies confirming that the observed bands in the ATR–FTIR spectra effectively maintain the collagen structure after decellularization [15].
Conversely, in dWS treatments, more pronounced intensities for CH2 symmetric and antisymmetric bands were observed for samples treated with 1% SDS, as shown in Figure 4B. However, despite the variations in intensity, the characteristic bands associated with key biomolecules were still evident. Specifically, the presence of prominent bands, such as Amides A (3315 cm−1), B (3097 cm−1), I (1633 cm−1), II (1552 cm−1), and III (1244 cm−1), was observed in the dWS samples.

3.5. Sodium Dodecyl Sulfate–Polycrylamide Gel Electrophoresis (SDS–PAGE)

The SDS–PAGE results, as shown in Figure 5, revealed distinct molecular weight bands of the dcTH samples ranging from approximately 50 to 225 kDa. Notably, the dNS samples did not exhibit distinct bands corresponding to the γ bands in contrast to the dWS samples. Specifically, the dWS samples demonstrated the presence of noteworthy protein markers, including the γ band (228–230 kDa), β-dimer (225–227 kDa), and α chains (116–120 kDa).

3.6. Differential Scanning Calorimetry (DSC)

DSC thermograms presented in Figure 6 provide valuable insights into the thermal characteristics of dcTH samples. The first endothermic peak spanning the temperature range of 60–90 °C was evident on all samples for both decellularization treatments. This peak is attributed to the release of free and bound moisture [42]. The second endothermic peak, ranging from 210 to 230 °C, was also observed in both raw and dcTH samples for all decellularization conditions. Interestingly, among all samples, the use of SDS for 10 min showed the highest denaturation peak temperature of 89.5 °C and 95.7 °C for dNS and dWS, respectively. Additionally, it was found that the dWS samples exhibited higher peak intensities compared to those subjected to dNS. Specifically, the employment of sonication in conjunction with deionized water for 5 min resulted in the highest denaturation peak temperature, followed by TX-100 and SDS for 10 min.

3.7. Residual Detergent Determination

The quantification of residual detergent was performed on the dcTH, as shown in Figure 7. It was observed that dNS has higher residual detergent compared to dWS. With an increase in decellularization time, a higher concentration of residual detergent was observed in the dcTH samples. The use of SDS for decellularization resulted in significantly higher residual detergent concentrations as compared to the use of TX-100 (p < 0.05). This finding is consistent with previous research, which indicates the challenging nature of removing SDS compared to other anionic detergents, such as TX-100 [42]. Notably, a significant reduction of approximately 99% in residual detergent content was observed for the samples treated with 1% TX-100 at 5 min.

4. Discussion

The utilization of fish waste, particularly tilapia heads, presents significant environmental and economic benefits by enabling the production of high-value products. Treated fish waste finds diverse applications, including the extraction of collagen and antioxidants for cosmetics, generating biogas/biodiesel, creating fertilizers, producing chitosan for dietary purposes, utilizing gelatine and chitosan in food packaging, and isolating enzymes, like proteases. These applications showcase the versatility and value derived from fish waste processing across multiple industries [43]. The collagen-rich ECM of tilapia heads makes it an alternative source of collagen, which is distinct from traditional sources, such as bovine and pig skin [38,44]. However, it is important to note that there is still no decellularization method specifically tailored for tilapia heads. Therefore, research is needed to explore and establish effective decellularization methods specifically for tilapia heads. These efforts would significantly contribute to the utilization of tilapia heads in the development of ECM-based biomaterials for various applications.
The effects of sonication-assisted decellularization of tilapia heads with different reagents and varying contact time were investigated. To identify the best decellularization technique, a Design of Experiments (DOE) was conducted, evaluating key variables such as decellularizing agents (1% SDS, 1% TX-100, deionized water), treatment methods (sonication-assisted, non-sonicated), and contact times (5 and 10 min) to determine the optimal conditions. The 5-min contact time was chosen based on the method by Shen et al., which demonstrated rapid, detergent-free decellularization of cartilage. The 10-min duration was included as a trial to assess its effectiveness in improving results, considering that, while 5 min was adequate for removing over 90% of nuclei from 5–20 μm thick cartilage sections, thicker sections (over 30 μm) necessitated a longer duration for complete cell removal [31].
Histological analysis revealed that sonication enhanced cell removal. Cell removal rate also increased with longer decellularization times. These histological findings were supported by the DNA quantification, which exhibited a similar trend of increased DNA removal with sonication and longer decellularization time. DNA quantification employs a specific dye that binds to DNA, with the fluorescence intensity correlating to the amount of DNA present. This method is vital for assessing the removal of cellular DNA, which is crucial for minimizing immune responses in biomedical applications [45]. The decellularization was able to achieve the residual DNA levels below 50 ng/mg of dry tissue weight, which is the criterion to ensure minimal potential immunogenicity and promote compatibility when utilizing the decellularized ECM for various applications [12].
The enhanced cell removal achieved through sonication can be attributed to its bioeffects on cell cytoplasm, inducing physical and chemical disruptions, such as cavitation and emulsion [29,46]. Moreover, Azhim et al. (2013) highlighted that sonication can enhance the efficiency of decellularization agents, like SDS, by reducing dissolved oxygen levels, thus maximizing the cavitation effect during the decellularization process. Additionally, in a separate study by Syazwani et al. (2014), sonication was successfully employed to achieve complete decellularization of an aorta, providing further evidence of the significant enhancement that sonication can bring to the removal of cellular components [30].
The analysis of protein content in the decellularized samples revealed a significant decrease, particularly in the samples treated with sonication and SDS, due to the intense mechanical forces applied [29,46]. This decrease was also expected as it is known that SDS is disruptive to ECM causing denaturation and unfolding of the protein structure [41]. Moreover, the decrease in protein could also be caused by the demineralization process involved in the dcTH samples, which is primarily concerned with the removal of minerals such as calcium, which is bound to bind with collagen [14]. The depletion of non-collagenous proteins, therefore, could be the primary cause of the observed decrease in protein content while the collagen structure remained intact on TX-100 and DEW-treated samples. However, several studies have shown that sonication could be beneficial in dissociating cells from ECMs while preserving the major proteins and biomolecules in the ECM [29]. The difference in the results could be attributed the power or duration of sonication, which could disrupt the main structural fibers of the ECM [29,47].
The preservation of essential collagen markers and their structural integrity in the dcTH samples was successfully confirmed through ATR–FTIR and SDS–PAGE analysis. These analytical techniques allowed for the identification and verification of collagen preservation despite the observed decrease in protein content. ATR–FTIR spectra exhibited similar peaks and bands for various functional groups in both dNS and dWS samples, indicating the effective preservation of collagen, the main component of the ECM. However, the dWS samples displayed more intense bands compared to the dNS samples. This finding suggests that the combined demineralization and sonication-assisted decellularization effectively removed hydroxyapatite while retaining important collagen markers, such as amide I, II, III, and amides A and B [14]. Notably, the sonication treatment demonstrated a noticeable decrease in the V4PO peak compared to that without sonication, indicating the protonation of hydroxyapatite as a possible contributing factor to this observation.
Using SDS with sonication for 10 min resulted in the highest preservation of collagen among all the reagents tested, with sonicated samples showing significantly better collagen preservation compared to those decellularized without sonication. This is supported by SDS–PAGE analysis, where the molecular weight bands on SDS–PAGE were predominantly observed in the range of 50–225 kDa for the dcTH samples. However, more emphasized molecular weight bands were observed in dWS samples, especially with the use of SDS. Additionally, the analysis of dcTH samples revealed higher quantities of β dimer and molecular cross-linked components [38]. The method employed pepsin solubilization, which resulted in a prominent proportion of α chains, in accordance with the findings of Iijima et al. (2018) [36]. Furthermore, it was discovered that these collagens exhibited a chain composition of two α1 chains and a single α2 chain, as reported by Barajan et al. (2013) [38].
Differential Scanning Calorimetry (DSC) is used to assess protein denaturation by measuring the endothermic heat flow associated with protein unfolding as the sample is heated. The resulting peak from DSC analysis indicates the denaturation temperature, while the enthalpy change quantifies the energy required for protein unfolding. Thermal analysis of the dcTH samples demonstrated significant shifts in temperature peaks, which reflect alterations in protein structure and composition resulting from the decellularization process and the application of sonication. Specifically, the denaturation peak temperatures were elevated in the sonication-assisted decellularized samples (dWS) compared to those treated without sonication (dNS). This increase suggests that the dWS samples retained proteins with greater thermal stability, potentially due to enhanced preservation of specific protein structures or changes in tissue composition during decellularization. These changes in thermal stability indicate not only modifications in the structural integrity of the proteins but also possible functional implications. Proteins with higher thermal stability may retain their functional properties better, which could be beneficial for the application of the decellularized matrix in various biomedical contexts [45,48,49].
The presence of residual materials (detergent) on the ECM can lead to significant and potentially harmful inflammatory reactions [29]. In order to ensure thorough removal of nuclear materials (detergent), it is necessary to implement rigorous washing procedures. The use of SDS requires extensive washing process to avoid cytotoxic effect on the cell [41,50]. Moreover, future research should assess the biocompatibility and cytotoxicity of the generated decellularized extracellular matrix (dECM) to determine its suitability for tissue applications.

5. Conclusions

The decellularization of fish heads is a crucial step in extracting the extracellular matrix (ECM) for various applications. However, there has been limited research on the decellularization of tilapia heads with a focus on preserving ECM structure and other essential components. This study highlights the effectiveness of sonication-assisted decellularization in extracting the ECM from tilapia heads. The findings demonstrate that sonication significantly enhances cell and DNA removal, preserves ECM structure, and maintains elevated denaturation temperatures. Notably, using 1% SDS for 10 min with sonication proved to be the most effective method for achieving optimal decellularization and ECM preservation among the tested approaches. This method not only maintains ECM structural integrity, as confirmed by collagen markers and thermal analysis, but also provides a sustainable solution for utilizing discarded tilapia heads. Future research should focus on optimizing sonication parameters and reagent concentrations, as well as incorporating additional analytical techniques, such as amino acid analysis and scanning electron microscopy (SEM), to further refine and validate decellularization protocols. This study underscores the potential of sonication-assisted decellularization as a practical and environmentally friendly method for developing biomaterials from waste materials, thereby advancing both medical technology and sustainable practices.

Author Contributions

Conceptualization R.B.; methodology, L.B., R.B. and H.B.; software, L.B., K.D.D.V. and J.A. (Johnel Alimasag); formal analysis, L.B., M.J.N., F.A., G.L. and J.A. (Jemwel Aron); investigation, L.B. and R.B.; data curation, R.B., L.B. and M.L.J.; writing—original draft preparation, L.B.; writing—review and editing, R.B., L.B., J.P.J., K.D.D.V. and M.L.J.; supervision, R.B. and H.B. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the Department of Science and Technology Philippine Council for Industry, Energy and Emerging Technology Research and Development (DOST-PCIEERD) under the Niche Centers in the Regions (NICER)—Science for Change Program (S4CP), grant number and DPMIS number 2021-03-A2-NICER-3209.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The original contributions presented in the study are included in the article, further inquiries can be directed to the corresponding author.

Acknowledgments

The authors would like to thank Grace Ducao and Zesreal Cain Bantilan for their valuable contributions and suggestions that helped to improve the quality of this manuscript.

Conflicts of Interest

The authors declare no conflicts of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript; or in the decision to publish the results.

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Figure 1. H and E Staining images of raw (A), dWS (BG) and dNS (HM) samples at different time durations with a magnification of 20× and scale bar of 100 μm.
Figure 1. H and E Staining images of raw (A), dWS (BG) and dNS (HM) samples at different time durations with a magnification of 20× and scale bar of 100 μm.
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Figure 2. DNA Quantification of raw and dcTH samples at different time durations. Bars represent standard deviation (n = 3). * p < 0.05.
Figure 2. DNA Quantification of raw and dcTH samples at different time durations. Bars represent standard deviation (n = 3). * p < 0.05.
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Figure 3. Protein quantification of the raw and dcTH samples. Bars represent standard deviation (n = 3). * p < 0.05.
Figure 3. Protein quantification of the raw and dcTH samples. Bars represent standard deviation (n = 3). * p < 0.05.
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Figure 4. (A) ATR–FTIR spectra of raw, dmTH, and dNS samples. (B) ATR–FTIR spectra of the raw, dmTH, and dWS samples.
Figure 4. (A) ATR–FTIR spectra of raw, dmTH, and dNS samples. (B) ATR–FTIR spectra of the raw, dmTH, and dWS samples.
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Figure 5. SDS–PAGE analysis of the raw and dcTH samples.
Figure 5. SDS–PAGE analysis of the raw and dcTH samples.
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Figure 6. Differential Scanning Calorimetry (DSC) thermograms of dNS (left) and dWS (right).
Figure 6. Differential Scanning Calorimetry (DSC) thermograms of dNS (left) and dWS (right).
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Figure 7. Residual detergent test for 1% TX-100 and 1% SDS in the dcTH samples. Bars represent standard deviation (n = 3). * p < 0.05.
Figure 7. Residual detergent test for 1% TX-100 and 1% SDS in the dcTH samples. Bars represent standard deviation (n = 3). * p < 0.05.
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Table 1. Overview of the decellularization conditions.
Table 1. Overview of the decellularization conditions.
Decellularizing AgentTreatmentContact Time
1% SDS
1% TX-100
Deionized water (DEW)
Sonication-assisted (WS)
Without sonication (NS)
5 min
10 min
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MDPI and ACS Style

Baclayon, L.; Bual, R.; Labares, M., Jr.; Valle, K.D.D.; Pague, J., Jr.; Alimasag, J.; Lumancas, G.; Arellano, F.; Nisperos, M.J.; Aron, J.; et al. Sonication-Assisted Decellularization of Waste Tilapia (Oreochromis niloticus) Heads for Extracellular Matrix Extraction. Biomass 2024, 4, 1078-1091. https://doi.org/10.3390/biomass4040060

AMA Style

Baclayon L, Bual R, Labares M Jr., Valle KDD, Pague J Jr., Alimasag J, Lumancas G, Arellano F, Nisperos MJ, Aron J, et al. Sonication-Assisted Decellularization of Waste Tilapia (Oreochromis niloticus) Heads for Extracellular Matrix Extraction. Biomass. 2024; 4(4):1078-1091. https://doi.org/10.3390/biomass4040060

Chicago/Turabian Style

Baclayon, Lean, Ronald Bual, Marionilo Labares, Jr., Kit Dominick Don Valle, Job Pague, Jr., Johnel Alimasag, Gladine Lumancas, Fernan Arellano, Michael John Nisperos, Jemwel Aron, and et al. 2024. "Sonication-Assisted Decellularization of Waste Tilapia (Oreochromis niloticus) Heads for Extracellular Matrix Extraction" Biomass 4, no. 4: 1078-1091. https://doi.org/10.3390/biomass4040060

APA Style

Baclayon, L., Bual, R., Labares, M., Jr., Valle, K. D. D., Pague, J., Jr., Alimasag, J., Lumancas, G., Arellano, F., Nisperos, M. J., Aron, J., & Bacosa, H. (2024). Sonication-Assisted Decellularization of Waste Tilapia (Oreochromis niloticus) Heads for Extracellular Matrix Extraction. Biomass, 4(4), 1078-1091. https://doi.org/10.3390/biomass4040060

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