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Article

Preparation, Structural Characterization, and Calcium Supplementation Activity of Lycium barbarum Peptide–Calcium Derived from Bovine Bones

1
Lab for Innovation & Effective Uses of Chinese Drug Germplasm Resources, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China
2
School of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China
3
Chengdu Institute for Drug Control, Chengdu 610000, China
*
Authors to whom correspondence should be addressed.
Foods 2025, 14(22), 3812; https://doi.org/10.3390/foods14223812
Submission received: 24 September 2025 / Revised: 14 October 2025 / Accepted: 27 October 2025 / Published: 7 November 2025

Abstract

Calcium deficiency is a global public health issue because calcium supplements are consistently inefficient. Although there is a large amount of calcium in bovine bones, its bioactivity is rather low. This study aimed to optimize the extraction process of calcium from bovine bones, develop a Lycium barbarum peptide–calcium chelate (LBP-Ca) preparation method, and evaluate calcium supplementation activity via pharmacodynamics tests. Response surface methodology (RSM) with a Box–Behnken design was used to screen the key parameters of the entire extraction process. The optimal conditions were determined as 1.7 mol/L citric acid, 6 h extraction time, and a material-to-liquid ratio of 1:8. The extracted calcium concentration reached 44 mg/mL. LBP-Ca was made from the extracted calcium and Lycium barbarum peptide. In order to confirm the formation of the chelate, it was characterized by means of UV, FT-IR, particle size, zeta potential, and SEM analysis. The results showed that the group with LBP-Ca exhibited significantly increased serum calcium levels (123.0 ± 24.5 μmol/dL) compared to the other groups in the low-calcium mice test. At the same time, LBP-Ca reduced alkaline phosphatase activity almost to normal levels and improved femur parameters and bone microstructure (higher bone volume fraction and trabecular number and better trabecular connectivity). These results indicate that LBP-Ca has superior bioavailability and bone health-promoting effects, which make it possible to develop highly effective calcium supplements from bovine bones.

Graphical Abstract

1. Introduction

Calcium is an essential mineral nutrient for bone health, muscle function, nerve transmission, and various cellular processes for all populations across different ages and regions. Although the Earth is rather rich in calcium, calcium deficiency remains a global public health problem due to its poor absorption. According to recent global estimates, calcium inadequacy affects approximately 3.5 billion people worldwide [1,2]. In China, the 2020 National Nutrition and Chronic Disease Status Report indicated that the average calcium intake among Chinese residents is only 366 mg/day, which is significantly below the recommended 800 mg/day [3].
Animal bones, particularly bovine bones, serve as an abundant source of calcium, yet the utilization rate of calcium and bioactive proteins remains low. As by-products of meat processing, bovine bones contain approximately 20–30% calcium on a dry weight basis, along with collagen—a protein that can be hydrolyzed into bioactive peptides [4,5]. Despite their significant potential, the comprehensive utilization rate of animal bones in China remains below 10% [6,7]. The efficient extraction and functional transformation of calcium from bovine bones are of paramount importance for sustainable resource utilization. Among various methods, citric acid provides exceptional advantages owing to its tricarboxylic structure, which enables it to chelate calcium ions into soluble calcium citrate, thereby preventing precipitation and enhancing process safety by minimizing equipment corrosion and preserving protein integrity. [8,9,10]. Thus, the extraction of calcium from bovine bones using citric acid represents a viable strategy for producing bioavailable calcium sources. This approach stands in contrast to conventional supplements like calcium citrate and calcium gluconate, which are often limited by poor intestinal absorption and susceptibility to dietary inhibitors, resulting in suboptimal bioavailability (Figure 1) [11,12].
Calcium supplementation has been widely adopted to address calcium deficiency. However, the bioavailability of calcium supplements varies considerably depending on their chemical forms, formulations, and administration conditions [13,14]. To address these challenges, peptide–calcium chelates have gained increasing attention in recent years. Specific amino acid sequences within peptides can coordinate calcium ions, forming stable complexes that not only enhance solubility but also facilitate absorption via intestinal peptide transporters, thereby bypassing conventional ion channels that are prone to inhibition by dietary antagonists. [15,16]. Previous studies have demonstrated that peptide–calcium chelates from various sources, including milk, soy, and marine proteins, exhibit superior calcium absorption and bone-promoting effects compared with inorganic calcium salts [17,18].
LBP-NH2 + LBP-COOH + Ca2+ ⟶ LBP-NH2-Ca2+-OOC-LBP + H+
Lycium barbarum, a traditional medicinal and edible plant, has received increasing attention due to its bioactive peptides with antioxidant, immunomodulatory, and metabolic regulatory functions [19]. Lycium barbarum peptide (LBP) has an inherent potential to form calcium chelates. Their peptide chains carry multiple active sites capable of stably binding calcium ions via coordinate bonds [20]. Therefore, combining LBP with calcium extracted from bovine bones may not only enhance calcium absorption and utilization but also provide synergistic health benefits (Figure 2).
This study aims to establish an efficient strategy for developing functional calcium supplements with enhanced bioavailability while promoting the comprehensive utilization of bovine bone resources. To achieve this, calcium ions were extracted from bovine bones under optimized conditions using citric acid and subsequently used to prepare Lycium barbarum peptide–calcium chelate (LBP–Ca). The structural characteristics of LBP–Ca were characterized using multiple spectroscopic and microscopic techniques, and its calcium supplementation activity was evaluated in a low-calcium mouse model.

2. Materials and Methods

2.1. Materials

Bovine bones were provided by Sichuan Shenghe Co., Ltd. (Chengdu, China). Calcium standard solution was purchased from Sinopharm Chemical Reagent Co., Ltd. (Shanghai, China). Calcium gluconate was purchased from Hayao Group Sanjing Pharmaceutical Co., Ltd. (Harbin, China). Absolute ethanol (95% v/v), serum calcium, ALP, and protein assay kits were obtained from Solarbio Science & Technology Co., Ltd. (Beijing, China). A 0.03% low-calcium diet was purchased from Beijing Sipeifu Biotechnology Co., Ltd. (Beijing, China). Lycium barbarum polypeptide powder was supplied by Hongtai Biotechnology Co., Ltd. (Wuhan, China). All other chemicals and reagents were of analytical grade.

2.2. Screening of Acid Reagents

Hydrochloric acid, citric acid, acetic acid, lactic acid, and glycine were used to extract soluble calcium ions from bovine bones under the original extraction conditions of 4 h, 1.0 mol·L−1 acid concentration, and a solid-to-liquid ratio of 1:8. The influence of acid type on the yield of calcium dissolution was subsequently evaluated.

2.3. Optimization of Calcium Extraction by Adapting Single-Factor Experiments

Single-factor experiments were conducted to optimize key parameters: citric acid concentration (0.5, 0.75, 1.0, 1.5, 2.0 mol/L), extraction time (2, 4, 6, 8, 10, 12 h), and solid-to-liquid ratio (1:8, 1:10, 1:12).

2.4. Optimization of Calcium Extraction Using Response Surface Methodology

A three-factor, three-level Box–Behnken design was applied to optimize the calcium extraction process. The independent variables included citric acid concentration (X1: 0.5, 1.0, 1.5 mol/L), extraction time (X2: 2, 4, 6 h), and material-to-liquid ratio (X3: 1:8, 1:10, 1:12 g/mL). The response variable—calcium extraction yield (mg/mL)—was quantified using the o-cresolphthalein complexone method in accordance with the National Food Safety Standard GB 5009.92-2016 [21].
The experimental design consisted of 17 runs, including 5 replicates at the center point. The relationship between the response variable and the independent variables was modeled using a second-order polynomial equation:
Y = β0 + Σβixi + Σβiixi2 + ΣΣβijxixj
In the model, Y represents the predicted response; β0 is the intercept; βi, the linear coefficients; βii, the quadratic coefficients; and βij, the interaction coefficients, with xi and xj denoting the coded independent variables. Design-Expert software (version 8.0.6, Stat-Ease Inc., Minneapolis, MN, USA) was used for experimental design, data analysis, and model validation. Model adequacy was assessed using the coefficient of determination (R2), adjusted R2, and the lack-of-fit test.

2.5. Preparation of Peptide–Calcium Chelate (LBP-Ca)

The peptide–calcium chelate was prepared following the method described by Wang et al. [22]. The hydrolysate was filtered, and the filtrate was combined with the optimized calcium extract at a protein-to-calcium ratio of 3:1. The mixture was adjusted to pH 7.0 and incubated at 37 °C for 1 h with continuous stirring. The resulting chelate was freeze-dried and stored at −20 °C until further use.

2.6. Structural Characterization

2.6.1. UV-Vis Spectroscopy Analysis

Equal amounts of LBP and LBP-Ca were weighed and prepared into solutions with a mass concentration of 1 mg/mL. Distilled water was used as the blank control. Ultraviolet absorbance was measured using a UV-VIS spectrophotometer (Model 2550, Shimadzu, Japan) within a wavelength range of 190–500 nm, with a scanning interval of 1 nm. Spectral curves were plotted based on the recorded relationship between absorbance and wavelengths [23].

2.6.2. Fourier Transform Infrared Spectroscopy (FTIR)

This experiment was conducted with slight modifications based on the method described by Beyer et al. [24]. LBP and peptide–calcium chelate were mixed with 100 mg of dry KBr, ground, and loaded onto an FTIR (Spectrum One, PerkinElmer, Waltham, MA, USA) instrument. The spectrum of each sample was scanned from 400 to 4000 cm−1. The obtained spectra were further processed using OMNIC 9.2 data analysis software.

2.6.3. Particle Size and Zeta Potential Analysis

A dynamic light scattering (DLS) analyzer (Litesizer 500, Anton Paar, Graz, Austria) was used to measure the zeta potential and particle size distribution of LBP and LBP–Ca at room temperature. Both samples were dissolved in ultrapure water at a concentration of 1 mg/mL. Prior to measurement, the pH was adjusted with 0.1 mol/L HCl or NaOH, and the solutions were filtered through a 0.22 μm membrane. Samples were equilibrated for 30 s before analysis [25].

2.6.4. Scanning Electron Microscopy Observation

An appropriate amount of polypeptide powder and freeze-dried powder of peptide–calcium chelate was evenly distributed on sample trays. After gold sputtering coating treatment, the voltage was applied to focus clearly, and images were acquired using a scanning electron microscope (Axio Imagerm2 EVO10, Zeiss, Jena, Germany) at magnifications of 8000× and 16,000× [26].

2.7. Animal Experiment

2.7.1. Animals and Experimental Design

This study adopted the low-calcium mouse model established by Mengdi Zhao et al. [27]. Sixty 6-week-old male ICR mice (weighing 20 ± 2 g) were used in this study. The animal protocol was approved by the Sichuan Provincial Animal Care and Use Committee (License No.: SYXK (Chuan) 2025-294). After a 1-week acclimatization period, the mice were randomly assigned to 5 groups (n = 10 per group): a normal control group (standard diet containing 0.5% calcium), a low-calcium group (calcium-deficient diet with 0.03% calcium), and three calcium supplementation groups (calcium gluconate as the positive control, calcium citrate, and LBP–Ca). All calcium supplements (calcium gluconate, calcium citrate, and LBP–Ca) were administered via oral gavage as aqueous solutions. The dose was equivalent to the human Recommended Daily Allowance (RDA) of 800 mg Ca per 60 kg body weight, corresponding to 39.99 mg Ca/kg body weight. The normal control and low-calcium groups received an equal volume of distilled water. The intervention lasted for 4 weeks.

2.7.2. Sample Collection and Analysis

At the end of the 4-week intervention, blood samples were collected from the orbital venous plexus following an overnight fast. Serum was obtained by centrifugation at 2236× g for 15 min and stored at −80 °C for biochemical analysis. Mice were then euthanized, and femurs were harvested, cleaned of soft tissue, and stored at −20 °C for further analysis.
Serum calcium levels were measured using the o-cresolphthalein complexone method. ALP activity was assessed using a commercial kit (Nanjing Jiancheng Bioengineering Institute, Nanjing, China), and serum protein concentration was determined by the Bradford method.

2.8. Femur Morphometric Analysis

The length of the left femurs was measured using a digital caliper. The femur index was calculated as the ratio of femur weight (mg) to femur length (mm).

2.9. Bone Densitometry Analysis

The right femurs were scanned using a micro-CT system (SkyScan 1176, Bruker, Kontich, Belgium) with the following settings: 50 kV voltage, 500 μA current, 9 μm resolution, and a rotation step of 0.7° [28]. Three-dimensional reconstruction and analysis were performed using NRecon (version 1.7.4.2) and CTAn (version 1.20.8.0) software (Bruker, Kontich, Belgium). The following parameters were quantified: bone mineral density (BMD), bone volume fraction (BV/TV), trabecular thickness (Tb.Th), trabecular number (Tb.N), and trabecular separation (Tb.Sp).

2.10. Statistical Analysis

Data are expressed as mean ± standard deviation (SD). Statistical analysis was conducted using SPSS 22.0 software (IBM Corp., Armonk, NY, USA). One-way analysis of variance (ANOVA) followed by Tukey’s post hoc test was used to evaluate differences among groups. Different lowercase letters (a, b, c) indicate statistically significant differences among treatment groups (p < 0.05).

3. Results

3.1. The Determination of Optimal Acid Reagents

Figure 3 shows significant differences in Ca2+ release efficiency among acid treatments. Hydrochloric acid yielded the highest free calcium concentration (~18 mg/mL), but the solubilized calcium was unstable and prone to forming insoluble precipitates. In contrast, citric acid, despite a marginally lower yield, formed stable, soluble calcium–citrate complexes via multidentate chelation, which prevented precipitation. The weak dissolution capacity of acetic and lactic acids was attributed to their single dissociable proton, while glycine (near-neutral pH) was virtually ineffective. Given its superior performance in terms of calcium stability and process compatibility, citric acid was selected as the optimal reagent for calcium extraction.

3.2. The Optimization of Extraction Conditions of the Acid Treatment Process

There are three key factors in the acid extraction process. To evaluate the effects of citric acid parameters on the Ca2+ content in bovine bone hydrolysates, single-factor experiments were conducted to examine citric acid concentration, hydrolysis time, and solid-to-liquid ratio (Figure 4A–C). The results showed that the 1.5 mol/L group yielded the highest calcium content (22 mg/mL) (Figure 4A). The fastest release rate occurred within 4–6 h among the tested time points (Figure 4B). The highest Ca2+ content was observed at a solid-to-liquid ratio of 1:10 (Figure 4C).

3.3. Optimization of Calcium Extraction Using Response Surface Methodology

The experimental design and results for the optimization of calcium extraction are presented in Table 1. The calcium extraction yield ranged from 15.2 to 44.0 mg/mL under different extraction conditions.
The second-order polynomial model describing the relationship between calcium extraction yield (Y) and the independent variables was as follows:
Y = 0.0402 + 0.0057A + 0.0044875B − 0.0014625C + 0.001725AB − 0.003675AC + 0.00375BC − 0.013525A2 − 0.00895B2 − 0.001C2
The ANOVA results (Table 2) indicated that the model’s p-value of 0.0002 (p < 0.01), which demonstrates the fitting equation, had excellent regression performance and high statistical significance. The linear terms A, B and the quadratic terms A2, B2 exerted a highly significant influence on the calcium content (p < 0.01), while the interaction terms (AC, BC) exerted a significant influence (0.01 < p < 0.05). Each factor influenced the results to some extent. According to the F-test, the influence of factors on calcium content followed the order A > B > C, indicating concentration > time > volume. For the regression equation, the coefficient of determination (R2) = 0.9677, adjusted R2 = 0.9261, and predicted R2 = 0.9196; the coefficient of variation (CV) was 9.89% (which is < 10%). These values demonstrate that the model had high reliability and could effectively reflect the actual experimental values. Adeq Precision (signal-to-noise ratio) = 13.8404, and a value > 4 is generally recognized to indicate a good fit between the model and experimental values. In conclusion, the quadratic response surface regression equation had a good fit, and the model could be used for predicting and optimizing the process conditions for calcium extraction from bovine bones.
Both the linear terms (X1, X2, X3) and the quadratic terms (X12, X22, X32) had significant effects on calcium extraction yield (p < 0.05). Among the interaction terms, only the interaction between citric acid concentration and extraction time (X1X2) was significant (p < 0.05). The response surface plots (Figure 5) illustrate these relationships: extraction yield increased with citric acid concentration up to ~1.5 mol/L, after which it declined—likely due to calcium–citrate precipitation at higher acid levels. Similarly, yield increased with extraction time to ~6 h, beyond which no appreciable improvement was observed. The material-to-liquid ratio exerted a positive effect across the tested range, with higher ratios promoting more efficient calcium dissolution.
To ensure the reliability and authenticity of the optimization results, we adjusted the relevant parameters based on the operation of the reagents. The optimal process parameters for calcium from bovine bones are as follows: a citric acid concentration of 1.7 mol/L, an extraction time of 6 h, and a material-to-liquid ratio of 1:8, yielding a predicted extraction of 44.0 mg/mL. Validation experiments conducted under these conditions produced an actual yield of 43.8 ± 0.5 mg/mL, closely matching the prediction and confirming the model’s validity. The calcium content under different extraction conditions and in the final products is summarized in Table 3, highlighting the efficiency of the optimized acid extraction process.

3.4. Structural Characterization

3.4.1. UV-Vis Spectroscopy Analysis

UV-Vis spectroscopic intensity variations and wavelength shifts enable the assessment of specific structural features, formation of new substances, or any changes that occur [29]. As shown in Figure 6, the intense absorption band observed near 200 nm is attributed to the π→π* electronic transition of the amide chromophore, specifically the –C=O–NH– conjugated system. Compared to native LBP, the LBP–Ca complex demonstrates a markedly increased absorbance at this wavelength, a phenomenon known as the hyperchromic effect. This result is consistent with the chelation of Ca2+ ions at the carbonyl oxygen and amide nitrogen atoms. The coordination of Ca2+ enhances the polarity of the carbonyl π-electron cloud, thereby lowering the energy required for the π→π* transition and increasing the probability of such transitions. Additionally, the rigidification of the peptide backbone reduces non-radiative decay pathways, leading to an overall enhancement of the absorption signal. Moreover, the more pronounced residual absorption across 200–300 nm suggests Ca2+-induced extension of conjugation (greater electron delocalization) and conformational adjustments. Collectively, these spectral features indicate formation of an LBP–Ca complex with an electronic structure distinct from native LBP, which is in line with metal–peptide coordination principles.

3.4.2. Fourier Transform Infrared Spectroscopy (FTIR)

As shown in Figure 7, the broad absorption band in LBP spanning 3500–3100 cm−1, centered at 3441.7 cm−1 with a shoulder at 3283.5 cm−1, is characteristic of N-H and O-H stretching vibrations, indicative of extensive hydrogen bonding. Upon chelation, this region transformed into a sharper band at 3512 cm−1 and a broadened band at 3435.1 cm−1. This shift suggests that Ca2+ coordination competitively disrupts the native hydrogen-bonding network, forming new N–Ca or O–Ca linkages [29]. The most critical evidence comes from the amide I region. The peak at 1654.9 cm−1 in LBP, assigned to C=O stretching vibrations, underwent a significant shift to 1604.3 cm−1 in LBP-Ca. This substantial 50 cm−1 redshift is a classic indicator that the carbonyl oxygen atoms are directly involved in chelating Ca2+ ions, as the electron density of the C=O bond is altered upon coordination [30]. Further evidence was found in the fingerprint region. The bands in LBP at 1156.0 cm−1 and 1015.3 cm−1, associated with C-O-C stretching or p-O vibrations (if phosphorylation is present), shifted to 1136.2 cm−1 and 1076.9 cm−1 in LBP-Ca, respectively. This implies the participation of hydroxyl, ether, or potentially phosphate groups in the chelation process [31]. Crucially, the appearance of new absorption peaks at 843.9 cm−1 and around 600 cm−1 in LBP-Ca can be assigned to Ca-O coordination stretching and metal–oxygen bending vibrations, providing definitive evidence for the formation of covalent bonds between calcium and the peptide [32].

3.4.3. Particle Size and Zeta Potential

As shown in Figure 8A, the particle size distribution peak of LBP is centered at approximately 100 nm, indicating relatively small particle size and good dispersibility, whereas the distribution peak of the LBP-Ca shifts significantly to the right, centering at around 1000 nm.
Zeta potential reflects the surface charge arising from partial ionization of amino acid side chains. As shown in Figure 8B, LBP–Ca exhibited a significantly more negative ζ-potential than LBP (from −1.58 to −17.9 mV; p < 0.05), indicating increased net negative surface charge and stronger electrostatic repulsion. This shift is consistent with the coordination of Ca2+ with electron-donating groups (e.g., carbonyl and deprotonated carboxylate oxygens, and amide/hydroxyl sites), which can reorganize surface functional groups, expose acidic residues, and alter protonation equilibria [33].

3.4.4. Scanning Electron Microscopy Observation

As shown in Figure 9, LBP and LBP–Ca appear as blocky aggregates. The particles of LBP were relatively regular and flake-like, with smooth surfaces and well-defined edges, suggesting a uniform aggregation state driven by hydrogen bonding, glycosidic bonds, and hydrophobic interactions. In contrast, LBP–Ca exhibited rough surfaces with folded and laminated features, as well as irregular, fluffy morphologies, indicative of a reorganization of intermolecular interactions upon Ca2+ coordination. These morphological changes are likely attributed to peptide–calcium coordination bonds that disrupt the conformation and packing of LBPs [34]. Additionally, the coordination bridging between peptide amino and carboxyl groups with Ca2+ alters the surface properties [35]. Consistent with these observations, Hou et al. reported that in desalted duck egg white peptide–calcium systems, the presence of Ca2+ promotes peptide folding and aggregation, leading to the formation of stable peptide–calcium chelates [36].

3.5. Effects of Different Calcium Supplements on Serum Biochemical Parameters

The effects of different calcium supplements on serum biochemical parameters are presented in Table 4. The LBP-Ca group exhibited a serum calcium concentration (123.0 ± 24.5 µmol/dL) that was comparable to the positive control (calcium gluconate) group (114.5 ± 19.8 µmol/dL), with both groups showing significantly higher levels than the model and calcium citrate groups (p < 0.05). The low-calcium group (57.0 ± 24.1 μmol/dL) showed the lowest serum calcium level, indicating poor calcium absorption or retention.
Serum ALP, a marker of bone turnover, was markedly elevated in the low-calcium group (0.47 ± 0.06 U/mL) relative to the normal control group (0.08 ± 0.01 U/mL), indicating markedly disrupted bone metabolism under calcium deficiency. By contrast, the LBP–Ca (0.15 ± 0.02 U/mL) and calcium citrate (0.17 ± 0.03 U/mL) groups maintained ALP activities close to control levels, consistent with the stabilization of calcium homeostasis. The calcium gluconate group showed intermediate serum calcium levels (114.5 ± 19.8 μmol/dL) with ALP within the normal range, supporting its suitability for routine supplementation. Serum protein concentrations were comparable across groups (38.2–38.8 mg/mL), suggesting that calcium supplementation had no significant effect on systemic protein metabolism. The superior elevation of serum calcium by LBP–Ca likely derives from its peptide–calcium chelate architecture. Amino-acid residues coordinate with Ca2+ to form stable complexes that may be absorbed via intestinal peptide transport pathways (e.g., PepT1), thereby partially bypassing conventional ionic calcium uptake, which is susceptible to inhibition by dietary antagonists such as oxalates and phytates [34]. This mechanism aligns with previous studies showing enhanced calcium absorption from peptide–calcium chelates derived from various protein-derived peptide–calcium chelates [35].

3.6. Effects of Different Calcium Supplements on Femur Parameters

3.6.1. Femur Length and Femur Index

The calcium citrate group exhibited intermediate efficacy, with a femur index (4.55 ± 0.50) significantly higher than that of the low-calcium group (p < 0.05) but lower than that of the calcium gluconate and LBP-Ca groups, indicating moderate bone-promoting effects (Table 5).

3.6.2. Micro-CT Analysis of Bone Microstructure

Micro-CT scanning results of the femurs from the five experimental groups are shown in Figure 10. The LBP-Ca group and the calcium citrate group maintained relatively intact trabecular structures, with dense, continuous trabecular arrangements. In contrast, the low-calcium group showed marked deterioration of the trabecular structure, characterized by numerous isolated trabeculae and structural discontinuities. Compared to the low-calcium group, the LBP-Ca group exhibited greater trabecular volume, fewer areas of trabecular deficiency, and more complete trabecular connectivity.
Quantitative analysis of bone morphological parameters is presented in Figure 11. Analysis of bone microstructure confirmed the significant advantages of peptide–calcium complexes (LBP-Ca) and bovine bone-derived calcium (calcium citrate). The LBP-Ca group showed significantly higher bone volume fraction (BV/TV 22.59%) compared with the calcium citrate group and the low-calcium group. With respect to trabecular morphological parameters, trabecular thickness in the LBP-Ca group also showed favorable characteristics, exhibiting a slight advantage over the calcium citrate group. Notably, the LBP-Ca group demonstrated outstanding performance in terms of trabecular number and trabecular separation, and these parameter values were comparable to those of the calcium gluconate group. In contrast, the calcium citrate group exhibited relatively more stable regulatory effects on bone morphological parameters.

4. Discussion

This study successfully optimized the process for extracting calcium from bovine bones using citric acid. Although hydrochloric acid yielded the highest concentration of free Ca2+ due to its strong protonation capacity, the resulting free calcium ions exhibited poor stability. These ions were prone to reacting with other components to form insoluble precipitates, which led to a decrease in bioavailable calcium [36]. The strong acidity of hydrochloric acid caused severe corrosion of extraction equipment, rendering it unsuitable for use in the production of food supplements [37]. Monoprotic weak acids such as acetic acid and lactic acid could only donate one dissociable proton, leading to lower extraction ability [38]. The concentration of calcium extracted via these two acids was only 12 mg/mL and 8 mg/mL, respectively. Glycine, with a pH close to neutral, had almost no calcium dissolution capacity. Therefore, all these acids were excluded except citric acid. As a triprotic weak acid, although its calcium dissolution capacity was slightly lower than that of hydrochloric acid, its tricarboxylic acid structure could form stable and soluble calcium–citrate complexes with Ca2+, completely avoiding the formation of precipitates. Additionally, its moderate acidity minimizes equipment corrosion and better preserves the integrity of collagen. The extraction solution could be directly used for chelation without impurity removal. Moreover, its mild pH did not damage the structure of LBP; subsequent chelation only required adjusting the pH to 7.0 to efficiently synthesize LBP-Ca. As a widely used acidity regulator in the food industry, citric acid is among the few food additives designated as “Generally Recognized as Safe” (GRAS) [39]. It also offers advantages such as low equipment corrosion and simple residue management, thereby fulfilling multiple objectives and proving to be an ideal solvent for LBP-Ca preparation [40]. Single-factor screening and response surface methodology (RSM) were used to systematically optimize the calcium extraction process from bovine bones. The optimal parameters were determined as follows: citric acid concentration of 1.7 mol/L, extraction time of 6 h, and material-to-liquid ratio of 1:8. Under these conditions, the calcium extraction concentration was determined to be 44 mg/mL. This represents a significant improvement over traditional water extraction methods, with the calcium ion content being four times that of commercial calcium gluconate (Table 3). This method can be effectively applied in the production of calcium supplement products. Notably, this process uses bovine bones—a by-product of meat processing—thereby improving resource utilization. This is particularly important in China, where the utilization rate of animal bones is less than 10%. Additionally, the residual bone can be further used as a source of calcium for supplements, enabling high-value, comprehensive utilization of bovine bone resources.
The structural characterization using UV-Vis and FTIR spectroscopies conclusively confirms the formation of a covalent LBP-Ca chelate. The hyperchromic effect in the UV spectrum indicates Ca2+-induced electronic polarization of the amide chromophore [41,42]. The FTIR results provide detailed insights into the specific binding sites: the significant shift in the amide I band confirms the primary involvement of carbonyl oxygen atoms [43], while alterations in the N-H/O-H and C-O/P-O regions suggest additional coordination via amino, hydroxyl, and possibly phosphate groups [44]. The emergence of new Ca-O vibration bands acts as the definitive signature of successful chelate formation, confirming that LBP does not merely mix with calcium but forms a stable coordinated complex [45]. The reconfigured molecular structure underpins its enhanced stability and bioavailability.
Dynamic light scattering (DLS) analysis showed that LBP formed small aggregates of about 100 nm with a uniform distribution, while LBP–Ca exhibited a significant size increase to around 1000 nm. This change was attributed to Ca2+ acting as a bridging ion, coordinating with carboxyl, hydroxyl, and amino groups in LBP and promoting intermolecular aggregation to form larger particles, which is consistent with the reported findings in other peptide–calcium systems [46,47]. The significant shift in zeta potential from −1.58 mV to −17.9 mV indicates a significant increase in net negative surface charge, likely due to the exposure of deprotonated carboxyl groups and the formation of coordination bonds, which enhance colloidal stability and reduce the propensity for aggregation [48].
SEM offered direct visual evidence of the morphological transformations induced by chelation. LBP presented relatively smooth, flake-like particles with well-defined edges, reflecting a uniform aggregation state driven by hydrogen bonding and hydrophobic interactions. LBP-Ca exhibited a highly roughened surface with folded, laminated, and fluffy structures. This marked change in morphology could be attributed to the reorganization of intermolecular interactions upon Ca2+ coordination. The peptide chains, upon binding with calcium ions, likely undergo conformational changes and cross-linking, leading to the formation of larger, more porous aggregates [49,50].
In the pharmacodynamic experiments, calcium gluconate was selected as the positive control due to its extensive clinical application as an oral calcium supplement. The LBP-Ca group achieved the highest serum calcium level (123.0 ± 24.5 μmol/dL), significantly exceeding the calcium gluconate (114.5 ± 19.8 μmol/dL) and the calcium citrate (105.8 ± 22.3 μmol/dL) groups. This advantage stemmed from distinct absorption mechanisms: calcium gluconate and citrate are absorbed as free Ca2+ via saturable intestinal ion channels (e.g., TRPV6), whereas LBP-Ca was absorbed as an intact peptide–calcium complex through the high-capacity peptide transporter PepT1. This mechanism bypasses competition with other divalent minerals (e.g., Mg2+ or Fe2+), thereby enhancing calcium absorption [12,51]. Notably, LBP-Ca also had stronger bone-protective effects in the low-calcium mice. The low-calcium model group exhibited elevated ALP, a marker of abnormal bone turnover (characterized by increased osteoclast activity). LBP-Ca reduced ALP to 0.15 ± 0.02 U/mL—closer to the normal control group (0.08 ± 0.01 U/mL) than that of the calcium gluconate group (0.21 ± 0.04 U/mL). Micro-CT analysis further confirmed enhancements in bone microstructure, reflected by increased bone volume fraction (BV/TV, 22.59%), higher trabecular number (Tb.N, 3.15/mm), and reduced trabecular separation (Tb.Sp, 0.232 mm). These findings indicate that LBP-Ca not only facilitates calcium absorption but also modulates bone metabolism—likely attributable to the inherent bioactivity of LBP, such as activation of the Wnt/β-catenin pathway promoting osteoblast differentiation, representing a distinct advantage over conventional calcium salts [52,53].

5. Conclusions

This study successfully established an efficient and sustainable process for extracting calcium from bovine bones using citric acid, achieving a high calcium concentration of 44 mg/mL under the optimized conditions (1.7 mol/L citric acid, 6 h extraction, 1:8 solid-to-liquid ratio). The extracted calcium was effectively chelated with LBP to form a novel LBP–Ca complex, as confirmed by UV, FTIR, particle size, zeta potential, and SEM analyses.
Pharmacodynamic evaluations demonstrated that LBP–Ca significantly enhanced serum calcium levels, improved bone microstructure, and regulated bone metabolism markers more effectively than traditional calcium supplements. These advantages were attributed to the unique peptide-mediated absorption pathway and the inherent bioactivity of LBP.
In summary, this study provides a feasible strategy for the high-value utilization of bovine bone by-products and the development of a promising functional calcium supplement with enhanced bioavailability and bone-protective efficacy. The LBP–Ca chelate has great potential for application in functional foods and nutraceuticals aimed at addressing calcium deficiency and improving bone health.

Author Contributions

Conceptualization, L.Z. and Q.Y.; Data curation, L.W., S.Z., M.X., and J.L.; Formal analysis, J.C.; Funding acquisition, L.Z. and Q.Y.; Investigation, L.W., L.L., and J.L.; Methodology, S.Z. and M.X.; Project administration, L.W.; Resources, L.Z. and Q.Y.; Software, Y.C.; Supervision, L.Z., Q.Y., and J.Z.; Writing—original draft, L.W. and J.C.; Writing—review and editing, L.Z. and Q.Y. All authors have read and agreed to the published version of the manuscript.

Funding

This work was supported by the key project of Sichuan Provincial Natural Science Fund: research on detoxification and efficacy enhancement mechanisms of Sichuan-produced toxic and authentic medicinal materials, croton and aconite (Grant No. 2024NSFSC0054).

Institutional Review Board Statement

The animal protocol was approved by the Sichuan Provincial Animal Care and Use Committee (License No.: SYXK (Chuan) 2025-294).

Informed Consent Statement

Not applicable.

Data Availability Statement

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

Acknowledgments

The authors gratefully acknowledge the financial support from the Key Project of Sichuan Provincial Natural Science Fund.The authors also extend their appreciation to all individuals and institutions that contributed to this research. All individuals named in this acknowledgment have provided their consent to be mentioned.

Conflicts of Interest

The authors declare no conflicts of interest.

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Figure 1. Comparison of calcium gluconate and calcium citrate.
Figure 1. Comparison of calcium gluconate and calcium citrate.
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Figure 2. Mechanism of peptide–calcium chelation.
Figure 2. Mechanism of peptide–calcium chelation.
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Figure 3. Effect of acid type on calcium ion content. Data are expressed as mean ± SD (n = 3). Different lowercase letters (a–d) indicate statistically significant differences (p < 0.05). Error bars represent standard deviation.
Figure 3. Effect of acid type on calcium ion content. Data are expressed as mean ± SD (n = 3). Different lowercase letters (a–d) indicate statistically significant differences (p < 0.05). Error bars represent standard deviation.
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Figure 4. Effects of different citric acid concentrations (A), heating time (B), and solid-to-liquid ratio (C) on calcium ion content. All values are expressed as mean ± SD (n = 3). Means with the same superscript letter (a–d) are not significantly different (p < 0.05).
Figure 4. Effects of different citric acid concentrations (A), heating time (B), and solid-to-liquid ratio (C) on calcium ion content. All values are expressed as mean ± SD (n = 3). Means with the same superscript letter (a–d) are not significantly different (p < 0.05).
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Figure 5. Response surface and contour plots showing the effects of the independent variables on calcium extraction yield. Surface plots for the interactions between (A) citric acid concentration and extraction time, (B) citric acid concentration and material-to-liquid ratio, and (C) extraction time and material-to-liquid ratio. Contour plots for the interactions between (D) citric acid concentration and extraction time, (E) citric acid concentration and material-to-liquid ratio, and (F) extraction time and material-to-liquid ratio.
Figure 5. Response surface and contour plots showing the effects of the independent variables on calcium extraction yield. Surface plots for the interactions between (A) citric acid concentration and extraction time, (B) citric acid concentration and material-to-liquid ratio, and (C) extraction time and material-to-liquid ratio. Contour plots for the interactions between (D) citric acid concentration and extraction time, (E) citric acid concentration and material-to-liquid ratio, and (F) extraction time and material-to-liquid ratio.
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Figure 6. UV-Vis spectra of LBP and LBP-Ca.
Figure 6. UV-Vis spectra of LBP and LBP-Ca.
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Figure 7. FTIR spectra.
Figure 7. FTIR spectra.
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Figure 8. Particle size and zeta potential diagrams. (A) Particle size distribution of LBP and LBP–Ca; (B) zeta potential of LBP and LBP–Ca.
Figure 8. Particle size and zeta potential diagrams. (A) Particle size distribution of LBP and LBP–Ca; (B) zeta potential of LBP and LBP–Ca.
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Figure 9. Scanning electron microscopy images.
Figure 9. Scanning electron microscopy images.
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Figure 10. Micro-CT images of femurs from different experimental groups.
Figure 10. Micro-CT images of femurs from different experimental groups.
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Figure 11. Bone morphological parameters of femurs from different experimental groups. (A) BV/TV; (B) BS/TV; (C) Tb.Th; (D) Tb.N; (E) Tb.Sp; (F) Bone calcium content. All values are presented as mean ± SD (n = 8).
Figure 11. Bone morphological parameters of femurs from different experimental groups. (A) BV/TV; (B) BS/TV; (C) Tb.Th; (D) Tb.N; (E) Tb.Sp; (F) Bone calcium content. All values are presented as mean ± SD (n = 8).
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Table 1. Box–Behnken design and results for calcium extraction optimization.
Table 1. Box–Behnken design and results for calcium extraction optimization.
RunCitric Acid
Concentration (mol/L)
Extraction Time (h)Material-to-Liquid RatioCalcium Extraction Yield (g/mL)
1141:100.010
2241:100.018
3181:100.014
4281:100.030
5161:80.018
6261:80.037
7161:120.022
8261:120.026
91.541:80.030
101.581:80.033
111.541:120.020
121.581:120.038
131.561:100.041
141.561:100.035
151.561:100.043
161.561:100.038
171.561:100.044
Table 2. ANOVA for the response surface quadratic model.
Table 2. ANOVA for the response surface quadratic model.
SourceSum of SquaresdfMeansquareF-Valuep-Value
Model0.001890.000223.280.0002
X10.000310.000333.010.0007
X20.000210.000220.460.0027
X30.000010.00002.150.1858
X1X20.000010.00001.910.2091
X1X30.000110.00016.730.0358
X2X30.000110.00016.730.0358
X120.000810.000889.72<0.0001
X220.000310.000339.430.0004
X325.095 × 10−615.095 × 10−60.60910.4607
Residual0.000178.364 × 10−6  
Lack of Fit3.750 × 10−631.250 × 10−60.09120.9610
Pure Error0.000140.0000  
Cor Total0.001816   
R2 = 0.9677
R2Adj = 0.9261
R2pre = 0.9196
Adeq Precision = 13.8404
C.V.% = 9.89%
Table 3. Calcium content of water-extracted bovine bones, acid-extracted bovine bones, LBP-Ca, and calcium gluconate.
Table 3. Calcium content of water-extracted bovine bones, acid-extracted bovine bones, LBP-Ca, and calcium gluconate.
Water-Extracted Bovine BonesAcid-Extracted Bovine BonesLBP-CaCalcium Gluconate
Calcium content (mg/mL)2442011
Table 4. Effects of different calcium supplements on serum biochemical parameters in mice.
Table 4. Effects of different calcium supplements on serum biochemical parameters in mice.
GroupSerum Calcium (μmol/dL)ALP Activity (U/mL)Serum Protein (mg/mL)
Blank98.2 ± 18.7 b0.08 ± 0.01 a38.5 ± 0.3 a
Model57.0 ± 24.1 c0.47 ± 0.06 c38.2 ± 0.5 a
Positive Control114.5 ± 19.8 a0.21 ± 0.04 ab38.6 ± 0.4 a
Calcium citrate105.8 ± 22.3 b0.17 ± 0.03 ab38.4 ± 0.3 a
LBP-Ca123.0 ± 24.5 a0.15 ± 0.02 ab38.3 ± 0.4 a
Note: Different lowercase letters (a, b, c) in the same column indicate significant differences between groups (p < 0.05).
Table 5. Effects of different calcium supplements on femur parameters in mice.
Table 5. Effects of different calcium supplements on femur parameters in mice.
GroupFemur Length (mm)Femur Index
Blank16.72 ± 0.45 b4.30 ± 0.50 b
Model15.43 ± 0.32 a4.06 ± 0.50 c
Positive Control16.46 ± 0.30 b4.56 ± 0.60 a
Calcium citrate16.05 ± 0.25 ab4.55 ± 0.50 a
LBP-Ca16.68 ± 0.50 b4.11 ± 0.60 c
Note: Different lowercase letters (a–c) in the same column indicate significant differences between groups (p < 0.05).
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Wang, L.; Cai, J.; Liu, L.; Zhu, S.; Chen, Y.; Xu, M.; Zhong, J.; Li, J.; Zhang, L.; Ye, Q. Preparation, Structural Characterization, and Calcium Supplementation Activity of Lycium barbarum Peptide–Calcium Derived from Bovine Bones. Foods 2025, 14, 3812. https://doi.org/10.3390/foods14223812

AMA Style

Wang L, Cai J, Liu L, Zhu S, Chen Y, Xu M, Zhong J, Li J, Zhang L, Ye Q. Preparation, Structural Characterization, and Calcium Supplementation Activity of Lycium barbarum Peptide–Calcium Derived from Bovine Bones. Foods. 2025; 14(22):3812. https://doi.org/10.3390/foods14223812

Chicago/Turabian Style

Wang, Long, Jia Cai, Lin Liu, Shunpeng Zhu, Yangxi Chen, Min Xu, Jie Zhong, Jiaxin Li, Liang Zhang, and Qiang Ye. 2025. "Preparation, Structural Characterization, and Calcium Supplementation Activity of Lycium barbarum Peptide–Calcium Derived from Bovine Bones" Foods 14, no. 22: 3812. https://doi.org/10.3390/foods14223812

APA Style

Wang, L., Cai, J., Liu, L., Zhu, S., Chen, Y., Xu, M., Zhong, J., Li, J., Zhang, L., & Ye, Q. (2025). Preparation, Structural Characterization, and Calcium Supplementation Activity of Lycium barbarum Peptide–Calcium Derived from Bovine Bones. Foods, 14(22), 3812. https://doi.org/10.3390/foods14223812

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