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. 2026 Feb 13;13:1739362. doi: 10.3389/fnut.2026.1739362

Mineral infusion and in-vitro bioaccessibility in Camellia sinensis and herbal tea: influence of matrix and brewing format

Hakan Apaydın 1,*
PMCID: PMC12945772  PMID: 41769663

Abstract

This study provides a comprehensive evaluation of mineral composition, time-dependent mineral infusion (5, 10, and 15 min), and in-vitro bioaccessibility across six widely consumed teas, including four Camellia sinensis varieties (black, green, white, and Ceylon) and two herbal teas (rosehip and fennel). Elemental concentrations were quantified using inductively coupled plasma optical emission spectrometry (ICP-OES). An in-vitro gastrointestinal digestion model was employed to determine mineral bioaccessibility, while FT-IR spectral characterization was used to interpret the matrix-related chemical structures influencing solubility and mineral stability. The results indicated that potassium was the most efficiently released element (>50%), followed by magnesium and sodium, whereas calcium and iron exhibited limited dialyzability (<30%), reflecting differences in complexation behavior. Rosehip tea exhibited notably higher bioaccessibility of iron (~36%) and zinc (~81%), likely due to its acidic pH and high organic acid content, while Camellia teas displayed lower values, possibly resulting from polyphenol–mineral interactions and the presence of complexing tannins. In contrast, Mg bioaccessibility peaked in green tea (~62%), highlighting element - specific matrix effects. Fennel infusion showed intermediate levels of mineral bioaccessibility, suggesting matrix-dependent variability among herbal teas rather than compositional uniformity. Statistical evaluation demonstrated that both brewing time and tea format significantly affected mineral release, with loose-leaf teas consistently yielding higher extractable levels of Cu, Fe, Mg, and Zn than bagged forms. Increasing the infusion duration enhanced solubilization for most elements, although excessive steeping sometimes reduced apparent bioaccessibility, suggesting secondary precipitation or complex formation. A single serving of tea provides measurable bioaccessible amounts of minerals; moreover, the observed differences among tea types and formats indicate that physicochemical characteristics, infusion conditions, and matrix-related factors influence mineral release and post-digestion bioaccessibility under the standardized brewing conditions applied in this study. These findings provide mechanistic insight into how tea matrices act as natural nutrient-stabilizing environments and highlight the importance of processing and preparation variables in modulating mineral bioaccessibility.

Keywords: brewing time, Camellia sinensis, herbal teas, mineral bioaccessibility, tea infusion

1. Introduction

Tea is one of the most widely consumed beverages globally, second only to water in overall intake (1, 2). Traditionally valued for its polyphenolic compounds and health-promoting effects, tea also contains essential micronutrients particularly minerals absorbed by the tea plant from the soil (3). As a result, brewed infusions contain measurable levels of potassium (K), magnesium (Mg), calcium (Ca), and trace elements such as iron (Fe) and zinc (Zn) (4). While tea infusions typically contribute only modest amounts to daily mineral requirements, their high global consumption may still provide meaningful nutritional support (3).

It is important to recognize that the total mineral content in tea leaves (or any food) does not equate to nutritional availability. The concept of bioaccessibility has become central in nutritional science: this term refers to the fraction of a nutrient that is released from the food matrix during digestion and becomes available for absorption in the gastrointestinal tract (5). Thus, minerals present in tea may not necessarily be available for uptake after digestion. Tea is a pertinent example it contains significant amounts of certain minerals, yet various factors can limit the bioaccessibility of those minerals. The food matrix and co-occurring compounds in tea can act as inhibitors of mineral absorption (5). In particular, tea is abundant in polyphenolic compounds (tannins and other flavonoids) that readily bind metal ions. These polyphenols can chelate minerals such as iron, zinc, and calcium, forming insoluble or indigestible complexes (6). Consequently, consuming tea (especially concurrently with meals) has been noted to reduce the absorption of iron and other minerals. Effect that has led to tea polyphenols being characterized as anti-nutritional factors with respect to mineral uptake (5, 6). Understanding bioaccessibility is thus essential when evaluating tea’s nutritional contribution. Standard methods to assess mineral bioaccessibility in-vitro, such as simulated gastrointestinal digestion followed by dialyzability tests, have been developed for this purpose (7–9). These in-vitro approaches provide an estimate of the potentially absorbable fraction of a mineral, and for some minerals (e.g., iron) the results correlate well with in-vivo absorption data (5). By applying such methods, researchers can gauge not only how much of a mineral is present in a tea infusion, but how much of it is likely to be available for uptake by the human body after digestion.

Brewing conditions, particularly infusion time, are practical determinants of mineral transfer from tea leaves into the beverage and therefore directly condition the “available pool” entering gastrointestinal digestion. Longer steeping times typically increase the leaching of both desirable minerals and undesirable compounds like tannins (4, 10). Moreover, the pH of the infusion matrix is a key determinant of mineral solubility during brewing and throughout digestion. Herbal teas with acidic profiles, such as rosehip, may promote the release and stabilization of divalent ions like Fe2+ and Zn2+, enhancing their bioaccessibility (11).

Additionally, the physical form of tea loose-leaf vs. bagged can affect infusion behavior. Differences in particle size and raw material quality may influence the rate and extent of mineral release. Finer particles in tea bags may increase surface area for extraction, yet they may also derive from lower-grade tea dust with distinct elemental profiles (12, 13). Despite the clear relevance of these consumer relevant variables, evidence remains limited on whether format-related differences in mineral leaching translate into differences in in-vitro bioaccessibility, motivating the comparative design of the present study.

Significance and aim of the present study: Given the global prominence of tea consumption and the nutritional importance of its mineral content, a comprehensive evaluation of mineral bioaccessibility from tea is highly relevant. While prior research has measured mineral levels in tea leaves and infusions (2, 3, 14–16), and a few have examined factors like infusion time or preparation method on extraction (10, 12), there remains a critical gap in understanding how much of these minerals can actually be absorbed by the consumer. The present study addresses this gap by evaluating (i) the total mineral composition of a selection of widely consumed teas, (ii) the infusion efficiency of these minerals (i.e., the fraction of each mineral that migrates from the leaves into the brewed tea under typical brewing conditions), and (iii) the in-vitro bioaccessibility of the minerals in the tea infusions using simulated digestion methods. Furthermore, a distinguishing feature of this work is the direct comparison of loose-leaf versus bagged tea forms in terms of mineral release and bioaccessible yield. By analyzing teas in both forms, brewed for varying durations, and assessing the dialyzable (bioaccessible) mineral fraction, we aim to elucidate how preparation form and brewing practice impact the nutritional utility of tea. To enable a controlled comparison, brewing temperature and the tea-to-water ratio were kept constant across all experiments, and steeping time (5, 10, and 15 min) was varied; therefore, this study was designed as a comparative assessment rather than an optimization of brewing parameters. This integrated workflow from leaf composition to cup infusion and post-digestion bioaccessibility offers a comprehensive framework to evaluate tea as a dietary mineral source beyond total concentration measurements. The comparative assessment of tea matrix and brewing format under standardized brewing conditions provides evidence on how preparation practices may modulate mineral infusion efficiency and the potentially absorbable fraction. It should be noted that the present work quantifies total elemental concentrations (after complete mineralization) and apparent transfer/bioaccessible fractions under standardized brewing and digestion conditions. Therefore, chemical speciation (e.g., free vs. complexed forms), binding/stability constants, and the detailed structure of mineral–ligand complexes in dry tea matrices or infusions were not determined and would require dedicated speciation workflows (17). Nevertheless, the discussion considers the well-established tendency of tea polyphenols/tannins and other matrix ligands (e.g., pectins/organic acids) to complex metal ions in a pH-dependent manner, as supported by the literature (18, 19). Overall, the study adds mechanistic and nutritional context to the micronutrient dimension of tea consumption, which remains underexplored despite tea’s widespread intake.

2. Materials and methods

2.1. Material

Commercially available six tea types were selected to represent both traditional Camellia sinensis teas (black, green, white, and Ceylon) and herbal infusions (rosehip and fennel). All samples were obtained from reputable local markets in Türkiye. According to supplier information, black and green tea products were sourced from Türkiye (Black Sea region), whereas herbal products (rosehip and fennel) were obtained from local herbal-product suppliers in the Black Sea and Central Anatolia region. The Ceylon tea samples were selected from imported retail products supplied from Iran, while the white tea samples were selected from imported retail products supplied from China. Both loose-leaf and bagged forms of black tea were included to compare the influence of packaging format. Each tea was prepared and analyzed in triplicate.

2.2. Method

2.2.1. Brewing method of tea infusions

Infusions were prepared following the traditional brewing method commonly used by consumers. Specifically, 5 g (± 0.01 g) of dry tea sample was steeped in 100 mL of freshly boiled natural spring water (98 ± 1 °C), using glass beakers covered to prevent evaporation. Infusions were conducted at three time points: 5, 10, and 15 min. During brewing, the temperature of the water was regularly monitored with a calibrated thermometer to ensure consistent thermal conditions throughout the process. After infusion, the liquid was immediately filtered through Whatman No. 1 filter paper to remove undissolved solids and stored at 4 °C until analysis. To isolate the effects of tea matrix and brewing format, the tea to water ratio and water temperature were standardized for all samples, and only steeping time was varied. The effects of multiple sequential infusions (re-steeping) were not evaluated in the present design.

2.2.2. Determination of mineral content in tea leaves

The quantification of mineral elements including aluminum (Al), calcium (Ca), cadmium (Cd), chromium (Cr), copper (Cu), iron (Fe), potassium (K), magnesium (Mg), manganese (Mn), nickel (Ni), lead (Pb), and zinc (Zn) in tea leaves was conducted using inductively coupled plasma–optical emission spectrometry (ICP-OES; iCAP 6,000 Duo, Thermo Scientific, Cambridge, UK).

2.2.2.1. Sample preparation and microwave-assisted digestion

Tea samples were homogenized in a grinder (SCM-2982, Sinbo, Tekirdağ, Türkiye) and dried at 55 °C for 1 h in a convection oven (M 6040 P, Elektromag, İstanbul, Türkiye). Subsequently, 0.30 g of each dried sample was accurately weighed (±0.01 g) and transferred into Teflon digestion vessels. For mineral extraction, a digestion mixture consisting of 6 mL of 65% HNO₃ (Merck, Darmstadt, Germany) and 5 mL of 35% H₂O₂ (Isolab Laborgeräte GmbH, Eschau, Germany) was added to each vessel. The digestion process was performed using a closed-vessel microwave digestion system (Speedwave, Berghof Instruments, Eningen, Germany) according to the following ramped temperature program: (i) heating to 170 °C for 5 min, (ii) increasing to 200 °C for 15 min, and (iii) cooling to 50 °C for 10 min. After digestion, samples were cooled to room temperature, transferred quantitatively to 15 mL volumetric flasks, and diluted to volume with ultrapure deionized water (20).

2.2.2.2. Instrumental parameters and calibration

ICP-OES analyses were carried out at the following analytical wavelengths: Al (167.08 nm), Ca (317.9 nm), Cu (324.7 nm), Fe (259.9 nm), Mg (279.5 nm), Mn (257.6 nm), Na (588.9 nm), Pb (220.3 nm), Ni (221.65 nm), Cr (283.5 nm), Zn (213.8 nm), Cd (228.8 nm), and K (766.5 nm). Instrument calibration was achieved using a multi-element standard solution (Merck, Item No: 1.11355, Darmstadt, Germany) (21). Calibration curves were linear with determination coefficients (R2) ≥ 0.99 for all analytes.

2.2.2.3. Quality assurance and CRM-based validation

To ensure the accuracy and reliability of the ICP-OES system for trace element quantification, instrument performance was evaluated using a certified reference material (ERM-EC680m, Sample No: 1258; Polyethylene (elements, low level), European Commission, Belgium). Although the matrix of ERM-EC680m is not identical to tea leaves, this certified reference material (CRM) was previously analyzed in our laboratory under the same digestion and instrumental conditions to assess the wet-acid digestion/mineralization step used for total mineral determination and analytical precision of the method. Measured values for certified elements were found to be within the uncertainty intervals provided in the CRM certificate. Recovery values ranged approximately between 92 and 106%, which demonstrated acceptable analytical performance for low-level elemental quantification. However, these CRM based results were used solely to validate the performance of the digestion and detection system, not as a direct recovery validation for the tea matrix. These recoveries refer to the wet-acid digestion and ICP-OES quantification step (total mineral determination and instrument performance) and should not be interpreted as a recovery validation of the INFOGEST-based in-vitro digestion/bioaccessibility procedure.

This quality control step helped verify that the ICP-OES system was functioning within acceptable limits, minimizing the potential impact of matrix effects or signal suppression. Consequently, the applied analytical protocol was considered suitable for reliable trace element determination in dried plant-based materials for total mineral determination.

2.2.2.4. Calculation and detection limits

Mineral concentrations in tea leaves were expressed as mg/kg dry weight using the following equation:

A=(B×C/D)×DC (1)

Where A is the mineral concentration (mg/kg), B is the measured concentration (mg/L), C is the final digest volume (mL), D is the sample mass (g), and DC is the dilution coefficient (if applicable) (22) (Equation 1).

Limits of Detection (LOD) and Limits of Quantification (LOQ) were determined based on ten replicate blank readings, in accordance with EURACHEM guidelines (23), using the following formulas:

LOD=3×σ (2)
LOQ=10×σ (3)

Where σ is the standard deviation of the blank signal (Equations 23).

Element-specific LOD and LOQ values (in ppm) were as follows: Ca (LOQ: 0.019, LOD: 0.006), K (0.040, 0.012), Mg (0.065, 0.020), Al (0.041, 0.012), Cd (0.086, 0.026), Co (0.047, 0.014), Cu (0.085, 0.025), Fe (0.099, 0.030), Mn (0.017, 0.005), Ni (0.085, 0.025), Pb (0.045, 0.003), Zn (0.049, 0.015). Concentrations below the LOD were reported as “ND” (not detected), while values between LOD and LOQ were considered semi-quantitative.

2.2.3. In-vitro digestion procedure and mineral bioaccessibility assessment

To determine the bioaccessible fraction of mineral elements in tea infusions, an in-vitro digestion model was employed based on the harmonized static INFOGEST protocol (24), with specific modifications to better accommodate the physicochemical properties of aqueous tea matrices. The adapted protocol aimed to simulate sequential gastrointestinal conditions while ensuring optimal solubilization and subsequent analysis of mineral constituents. The procedure was further refined in accordance with Apaydın et al. (22), who previously validated a similar approach for plant-based infusions. Because the samples were already in liquid form, the oral phase was omitted and the digestion was initiated directly with the gastric phase.

2.2.3.1. Sample preparation and gastric digestion

Sample pH adjustments were performed using a pH meter (Mettler Toledo, SevenExcellence S900; Greifensee, Switzerland). Gastric acidification was performed with 0.1 N hydrochloric acid (Sigma-Aldrich, Massachusetts, USA), and intestinal pH adjustment was carried out using sodium bicarbonate (Sigma-Aldrich, Massachusetts, USA). For each tea type, 10.0 mL of infusion was transferred into sterile 50 mL polypropylene centrifuge tubes. The gastric phase was initiated by acidifying the samples to pH 2.0 ± 0.1 using 0.1 N hydrochloric acid (HCl), mimicking the low pH of the human stomach.

Fresh pepsin solution was prepared immediately before use by dissolving 0.2 g of porcine pepsin (≥250 U/mg protein, Sigma-Aldrich, P-7000) in 5 mL of 0.1 N HCl. From this solution, 0.5 mL was added to each tube. The tubes were incubated in a shaking water bath at 37 °C for 2 h (100 rpm) to simulate gastric conditions and promote mineral solubilization and the dissociation of matrix-associated mineral complexes. No intermediate sampling was performed after the gastric phase; the dialyzable fraction was collected after completion of the sequential gastric and intestinal phases. Therefore, the reported dialyzable concentrations/percentages reflect the net outcome of the digestion sequence that includes an initial acidic exposure followed by near-neutral intestinal conditions (24).

2.2.3.2. Intestinal digestion

Upon completion of the gastric phase, the pH was gradually adjusted to 6.8–7.0 using 1 M sodium bicarbonate (NaHCO₃), in accordance with the transition from stomach to small intestine in vivo. To simulate pancreatic and bile secretions, freshly prepared enzyme solutions were added:

Pancreatin solution: 0.4 g of pancreatin (from porcine pancreas, Sigma-Aldrich, P-1750) was dissolved in 10 mL of ultrapure water.

Bile salt solution: 0.25 g of bile extract (Sigma-Aldrich, B-8631) was dissolved in 10 mL of ultrapure water.

Each digestion tube received 1.0 mL of the pancreatin solution and 1.0 mL of the bile salt solution. The samples were incubated in a shaking water bath at 37 °C for an additional 4 h to simulate prolonged intestinal digestion. This extended digestion duration (relative to the conventional INFOGEST 2-h intestinal phase) was chosen based on previous findings indicating slower release and solubilization kinetics of divalent mineral ions (e.g., Ca2+, Fe2+, Zn2+) from polyphenol- and fiber-rich matrices such as tea.

2.2.3.3. Post-digestion processing and dialyzable fraction collection

After the intestinal digestion phase, the entire contents of each tube were brought to a final volume of 50 mL with ultrapure water to standardize dilution. The samples were then centrifuged at 15,100 × g for 20 min at room temperature. Supernatants were carefully collected and filtered sequentially using Whatman No. 1 filter paper followed to ensure the removal of residual particulates.

To further isolate the potentially absorbable (membrane-permeable) mineral fraction, the clarified supernatant was subjected to a dialysis-based membrane separation step after centrifugation. After this step, the collected fraction was passed through 0.45 μm syringe filters to ensure removal of any remaining fine particulates prior to ICP-OES analysis. These fractions were immediately stored at 4 °C and analyzed within 24 h to minimize precipitation or degradation.

2.2.3.4. Mineral quantification and in-vitro mineral bioaccessibility calculation

Mineral concentrations (including K, Ca, Mg, Fe, Zn, Mn, Cu, and Al) in both bioaccessible fraction obtained after in vitro digestion and membrane separation and original undigested infusions were quantified using inductively coupled plasma–optical emission spectrometry (ICP-OES; Thermo Scientific iCAP 6,000 Series, UK) following standard operating protocols validated for aqueous matrices.

The percentage bioaccessibility of each mineral was calculated using the following (Equation 4):

Bioaccessibility(%)=(Concentration inbioaccessible fraction/Total mineral concentrationin the undigestedtea)×100 (4)

This approach enabled the estimation of physiologically relevant mineral availability after gastrointestinal digestion, acknowledging the potential inhibitory or enhancing effects of the tea matrix particularly polyphenols, pectins, and organic acids on mineral solubility and absorption. The methodology ensured reproducibility, biochemical relevance, and compatibility with plant-based infusion systems, as recommended in recent applications of the INFOGEST framework for non-solid foods (8, 24).

2.2.4. Fourier transform infrared (FT-IR) spectroscopy

The molecular composition of the tea samples was characterized using a Fourier Transform Infrared (FT-IR) spectrophotometer (Thermo Scientific, Nicolet iS50, USA) equipped with an Attenuated Total Reflectance (ATR) module. Spectral acquisition was conducted in the mid-infrared region ranging from 650 to 4,000 cm−1. The measurements were performed under the following instrumental conditions: optical velocity of 0.4747 cm/s, 32 scans per spectrum, and a spectral resolution of 8 cm−1. A DTGS KBr detector was used for signal acquisition. All spectra were recorded in % transmittance mode. Prior to each measurement, the ATR crystal was cleaned with ethanol and background correction was performed to eliminate environmental interference. Spectral data were collected for each tea sample in triplicate to ensure reproducibility and representative profiling (25).

2.2.5. Statistical analysis

All statistical evaluations were carried out using IBM SPSS Statistics for Windows, Version 22.0 (IBM Corp., Armonk, NY, USA). Quantitative data were reported as mean ± standard deviation (SD) based on triplicate measurements. To assess the significance of differences in mineral concentrations among different tea types and brewing durations, one-way analysis of variance (ANOVA) was employed. When significant differences were observed (p < 0.05), Tukey’s Honest Significant Difference (HSD) post hoc test was applied to identify specific group differences.

For the black tea format experiment (loose-leaf vs. bagged) across brewing times (5, 10, 15 min), a two-way ANOVA with factors Format and Time, including their interaction, was performed. Effect sizes were reported as partial η2. Normality and homogeneity of variance were checked using Shapiro–Wilk and Levene’s tests, respectively; where needed, simple main effects were examined with Tukey-adjusted pairwise comparisons. Statistical significance was set at p < 0.05, following analytical approaches consistent with previous Frontiers in Nutrition studies on mineral bioavailability (7, 26).

3. Results and discussion

3.1. pH and initial extraction conditions

The pH values of the brewed teas are presented in Table 1. Notably, rosehip tea had a distinctly low pH (2.82), whereas the other infusions were near-neutral (6.4–7.12). This pronounced acidity is expected to influence mineral solubility and extractability, particularly for multivalent ions such as Fe2+ and Ca2+. Acidic conditions can protonate or solubilize certain mineral complexes, enhancing their release into the infusion (27).

Table 1.

pH values of tea types.

Tea type pH
Black tea 6.40 ± 0,01
Green tea 6.63 ± 0,02
Ceylon tea 7.01 ± 0,01
White tea 7.12 ± 0,03
Rosehip tea 2.82 ± 0,02
Fennel tea 7.08 ± 0,02

Mean ± SD, n = 3.

All teas were prepared with the same spring water (Table 2), and background mineral levels in the water were subtracted to obtain true release from the teas. This ensured that differences in infusion mineral content were attributable to the teas themselves rather than the brewing medium.

Table 2.

Elemental composition (ppm) of the natural spring water.

Al ND*
Cd ND*
Pb 0.017 ± 0.008
Cr ND*
Cu 0.021 ± 0.009
Fe 0.058 ± 0.009
Mn 0.024 ± 0.005
Mg 30.89 ± 0.16
Zn 0.03 ± 0.01
K 2.73 ± 0.13
Ca 9.11 ± 0.11
Ni ND*

ND*, not detected (mean ± SD, n = 3).

3.2. FT-IR characterization of tea samples

FT-IR spectroscopy was employed to characterize the biochemical composition of the tea samples and to support the interpretation of mineral behavior observed in the study. As shown in the combined FT-IR spectra (Figure 1), which display absorbance profiles of all tea types over the 650–4,000 cm−1 range, distinct spectral features were observed among the different tea varieties.

Figure 1.

Six-panel graphic shows FTIR spectra labeled a through f. Each panel displays transmittance versus wavenumber from four thousand to six hundred per centimeter, with annotated peaks and differences among spectra patterns and intensities.

FT-IR spectra of tea samples. Six overlaid ATR-FT-IR spectra (650–4,000 cm−1) for black, Ceylon, fennel, green, rosehip, and white tea; major bands annotated (O–H, C=O, C–O). Used to compare matrix features potentially linked to mineral solubility (a–f). Black tea (a), Ceylon tea (b), fennel tea (c), green tea (d), rosehip tea (e), white tea (f).

To aid interpretation, the FT-IR spectra were discussed using a group-frequency approach. In plant-based matrices, several constituents contribute overlapping bands; therefore, assignments are considered tentative and are used to support qualitative comparison rather than definitive identification. Briefly, the broad region at 3600–3000 cm−1 is commonly attributed to O–H stretching vibrations (hydrogen-bonded hydroxyl groups) from phenolic compounds and polysaccharides. 1750–1700 cm−1 region is typically associated with C=O stretching of ester/carboxylic groups (often more pronounced in fruit-derived matrices), while bands around 1,660–1,500 cm−1 reflect overlapping contributions from aromatic ring vibrations and related modes frequently reported for polyphenol-rich materials. The 1,200–1,000 cm−1 region is generally assigned to C–O and C–O–C stretching vibrations (glycosidic linkages), consistent with carbohydrate/polysaccharide components in plant tissues (25, 28–30).

The Camellia sinensis teas (black, green, white, Ceylon) displayed characteristic polyphenol-rich profiles, including a broad O–H stretching band (~3,400–3,200 cm−1) indicative of hydrogen-bonded hydroxyl groups in tannins and flavanols (25). Mid-IR bands around 1,630 cm−1 (amide I), ~1,520 cm−1 (aromatic C=C and/or amide II), and 1,300–1,500 cm−1 (cell wall polysaccharides and oxidized catechins) were also observed. Notably, green and white teas showed a band at ~1,340 cm−1, attributed to monomeric catechins, which were absent in black tea due to oxidative fermentation (25, 31). These findings reflect a matrix rich in polyphenols and polysaccharides, consistent with the reduced Fe and Zn bioaccessibility seen in Camellia infusions. This supports previous literature reporting strong metal-chelating activity of tea polyphenols that impair non-heme mineral absorption during digestion (32, 33).

In contrast, rosehip tea exhibited strong carbonyl signals at ~1740 cm−1 (esterified carboxylic groups) and ~1,630 cm−1 (carboxylate ions), consistent with high levels of pectins and organic acids (including ascorbic/citric acids as reported in the literature) (31, 34–36). These bands were less in Camellia teas. The presence of both ester and free acid groups in rosehip suggests a matrix capable of complexing minerals in soluble forms. This aligns with its significantly higher Fe and Zn bioaccessibility, likely due to ascorbic acid’s known ability to reduce Fe3+ to Fe2+ and prevent precipitation under gastrointestinal conditions (37). Fennel tea spectra were dominated by bands in the 1,200–1,000 cm−1 region, associated with C–O stretching of polysaccharides such as cellulose and hemicellulose (34). Aromatic C–H bands were weaker, indicating lower polyphenol content than Camellia teas. Although fennel contains essential oils (e.g., anethole), these do not substantially contribute to mineral bioavailability. The FT-IR profile suggests a matrix rich in structural carbohydrates but low in organic acids, which may explain its moderate mineral release and lower Fe/Zn bioaccessibility compared to rosehip.

In conclusion, FT-IR analysis provided a rapid qualitative assessment of the chemical constituents of each tea type, which in turn helped explain the mineral transfer and bioaccessibility outcomes. Camellia sinensis teas showed strong polyphenolic and amide I/II region (broad O–H, aromatic C=C, amide bands) and correspondingly exhibited lower iron and zinc bioaccessibility due to polyphenol–mineral complexation (32). Rosehip tea was distinguished by its ester/carboxyl peaks from pectins and organic acids, aligning with its role in enhancing Fe/Zn extraction and absorption via chelation and reduction mechanisms (32, 33). Fennel tea displayed prominent fiber (cellulose) and terpenoid-associated bands, suggesting a composition that can retain minerals in the solid matrix or otherwise limit their solubilization. These findings are consistent with recent literature linking plant FT-IR spectra to biochemical composition and metal-binding behavior. For instance, the presence of polyphenolic O–H and aromatic groups in plant extracts has been correlated with high metal chelating capacity, whereas spectra rich in carboxylate signals often indicate organic acids that improve metal solubility (32, 33). By integrating FT-IR spectroscopic characterization with the mineral bioaccessibility data, we gain a deeper mechanistic understanding of how each tea’s phytochemical profile influences the fate of minerals during infusion and digestion. This multidimensional approach (spectroscopy coupled with nutritional assays) underscores the value of FT-IR as a tool for predicting and explaining the nutritional interactions in complex plant-derived beverages. The clear spectral distinctions between Camellia and herbal teas highlight that the source of the tea (true tea leaf vs. fruit/seed herbal) fundamentally drives both the chemical fingerprint and the nutritional functionality of the infusion (25).

3.3. Mineral composition of tea leaves

Elemental composition analysis revealed significant differences in the elemental composition of the six tea types (p < 0.05) (Table 3).

Table 3.

Mineral concentrations (mg/kg dry weight) in tea leaves.

Tea type Al Cd Pb Cr Cu Fe
BT 670.85 ± 6.84a 0.111 ± 0.014c 0.179 ± 0.006b 1.298 ± 0.099a 10.773 ± 0.345de 212.682 ± 1.658b
GT 21.89 ± 0.95e 0.257 ± 0.036b 0.106 ± 0.005c 0.096 ± 0.002c 5.492 ± 0.318e 24.986 ± 3.455e
CT 245.69 ± 17.06b 0.509 ± 0.021a 0.034 ± 0.002e 1.34 ± 0.088a 39.102 ± 4.534a 132.972 ± 7.347d
WT 34.03 ± 1.65e 0.06 ± 0.001cd 0.077 ± 0.004d 0.736 ± 0.031b 29.183 ± 2.825b 154.456 ± 6.693c
RT 80.44 ± 3.46d 0.043 ± 0.001d 0.276 ± 0.006a 0.695 ± 0.011b 22.857 ± 0.967bc 241.008 ± 7.841a
FT 201.16 ± 19.79c 0.03 ± 0.004d 0.119 ± 0.006c 0.833 ± 0.02b 17.082 ± 0.171cd 220.43 ± 8.777b
Tea type Mn Mg Zn K Ca Ni
BT 570.02 ± 50.88a 1501.55 ± 10.14b 27.26 ± 0.31c 13915.55 ± 845.53a 2403.43 ± 34.41b 2.268 ± 0.176b
GT 83.71 ± 13.34d 465.97 ± 23.56e 51.49 ± 1.61a 14440.55 ± 503.82a 92.37 ± 4.79d 0.756 ± 0.045c
CT 500.37 ± 68.32a 1078.89 ± 106.06d 33.51 ± 1.59bc 14100.67 ± 643.35a 4681.84 ± 228.47a 3.897 ± 0.028a
WT 312.4 ± 24.33c 1240.65 ± 16.92c 55.55 ± 6.28a 12,765 ± 1281.78a 149.07 ± 7.73d 0.756 ± 0.043c
RT 479.8 ± 32.85ab 1893.1 ± 20.48a 41.12 ± 3.53b 6639.96 ± 191.49b 1198.38 ± 84.89c 0.239 ± 0.021d
FT 371.92 ± 4.9bc 1216.94 ± 49.75cd 30.48 ± 2.04c 7971.1 ± 222.53b 2197.77 ± 42.37b 0.553 ± 0.009c

Values represent means ± standard deviation. Different superscript letters within the same column indicate statistically significant differences (p < 0.05) (mean ± SD, n = 3). BT, black tea; GT, green tea; CT, Ceylon tea; WT, white tea; RT, rosehip tea; FT, fennel tea; ND*, not detected.

K was the most abundant element overall, reflecting its role as a key plant macronutrient (38). Camellia sinensis teas (black, green, white, and Ceylon) were especially rich in K, ranging from 12.765 to 14.440 mg/kg, while rosehip tea exhibited the lowest K content. Camellia teas also had characteristically high levels of Mn and Al. For instance, black and Ceylon teas contained 500–1,500 mg/kg Mn, in agreement with previous reports for green and black teas (39). Al levels were highest in black tea (670.85 ± 6.84 mg/kg), aligning with earlier studies that reported Al concentrations in the low mg/L range in brewed black and green teas (13), indicating substantial accumulation in the leaves. Ceylon tea had the highest Cu (39.10 ± 4.53 mg/kg) and Ni (3.90 ± 0.03 mg/kg) contents, while green tea showed the lowest levels for most trace metals, including Fe, Mn, and Al. Fennel tea exhibited a distinct elemental profile, with significantly higher Ca (2197.77 ± 42.37 mg/kg) and Mg (1216.94 ± 49.75 mg/kg) levels compared to Camellia based teas (p < 0.05), which is consistent with the fact that seeds typically store more Ca and Mg in their tissues. Rosehip tea showed the highest concentrations of Fe (241.01 ± 7.84 mg/kg) and Cu among all samples, which aligns with its known mineral richness (38). Conversely, green tea had the highest Cd (0.257 ± 0.036 mg/kg), although still within acceptable safety limits.

These findings were statistically confirmed by one-way ANOVA (p < 0.05), showing that mineral profiles varied significantly by tea type. The clear differences in elemental content highlight the impact of botanical origin, plant part (leaf vs. fruit or seed), and processing on mineral accumulation. These compositional features form the foundation for understanding mineral infusion behavior and bioaccessibility in subsequent stages of this study.

3.4. Mineral infusion as a function of brewing time

Brewing time significantly influenced the mineral concentrations in tea infusions, as detailed in Table 4. As the steeping duration increased from 5 to 15 min, the release of most minerals into the infusion also increased (p < 0.05), although the extent varied among elements and tea types. A 5-min infusion extracted a considerable portion of highly water-soluble elements such as K, while longer durations favored the release of more tightly bound minerals like Ca and Mg.

Table 4.

Mineral concentrations (mg/L) in tea infusions at different brewing time.

Tea type - Brewing time (min) Al Cd Pb Cu Fe Mg
BT 5 min 4.79 ± 0.8fg ND* ND* 0.6 ± 0.06gh 6.59 ± 0.44efg 150.82 ± 26.7cdef
BT 10 min 23.45 ± 1.3b ND* ND* 0.91 ± 0.01efgh 7.41 ± 0.76ef 378.19 ± 13.55b
BT 15 min 25.79 ± 1.03a ND* ND* 1.06 ± 0efg 12.21 ± 0.12c 381.66 ± 21.56b
GT 5 min 0.2 ± 0.01i ND* ND* 0.3 ± 0.05h 0.73 ± 0.28i 68.76 ± 2.85f
GT 10 min 0.49 ± 0.04i ND* ND* 0.43 ± 0.03gh 0.76 ± 0.11i 82.4 ± 21.77f
GT 15 min 0.69 ± 0.08hi ND* ND* 0.47 ± 0.02gh 0.87 ± 0.09i 115.14 ± 5.28ef
CT 5 min 1.55 ± 0.09hi ND* ND* 2.12 ± 0.41cd 4.27 ± 0.38gh 90.32 ± 16.59f
CT 10 min 7.9 ± 1.48d ND* ND* 3.11 ± 0.22b 5.3 ± 0.14fgh 200.34 ± 52.18cde
CT 15 min 10.1 ± 0.32c ND* ND* 4.15 ± 0.6a 9.09 ± 0.23de 248.1 ± 24.02c
WT 5 min 0.23 ± 0.02i ND* ND* 1.3 ± 0.08ef 3.03 ± 0.62hi 110.17 ± 13.65ef
WT 10 min 0.56 ± 0.07hi ND* ND* 2.67 ± 0.09bc 6.74 ± 0.87efg 243.53 ± 17.77c
WT 15 min 0.94 ± 0.08hi ND* ND* 3.03 ± 0.33b 7.48 ± 0.48ef 248.18 ± 51.94c
RT 5 min 0.65 ± 0.11hi ND* ND* 1.1 ± 0efg 10.82 ± 0.59cd 345.13 ± 33.82b
RT 10 min 2.82 ± 0.1gh ND* ND* 2.88 ± 0.11b 15.47 ± 1ab 471.71 ± 69.4a
RT 15 min 3.82 ± 0.2gf ND* ND* 3.18 ± 0.13b 16.68 ± 0.99a 549.43 ± 19.46a
FT 5 min 1.46 ± 0.21hi ND* ND* 0.86 ± 0.01fgh 3.26 ± 0.56hi 144.82 ± 45.56def
FT 10 min 5.75 ± 0.32ef ND* ND* 1.53 ± 0.01de 9.2 ± 2.63de 215.13 ± 11.02cd
FT 15 min 6.96 ± 1.68de ND* ND* 1.92 ± 0.04d 13.36 ± 2.02bc 373.73 ± 0.63b
Tea type - Brewing time (min) Mn Cr Ni Zn K Ca
BT 5 min 53.86 ± 7.7e ND* ND* 4.5 ± 0.45h 645.53 ± 0.56f 176.84 ± 24.41fg
BT 10 min 116.05 ± 12.22ab ND* ND* 8.22 ± 0.45g 5636.05 ± 59.56b 341.57 ± 15.82de
BT 15 min 127.2 ± 15.42ab ND* ND* 9.6 ± 0.16fg 7053.35 ± 539.73a 452.82 ± 79.07bc
GT 5 min 8.33 ± 2.89f ND* ND* 9.12 ± 1.13fg 677.07 ± 32.94f 11.14 ± 1.71h
GT 10 min 17.29 ± 2.68f ND* ND* 14.17 ± 0.73d 5305.5 ± 498.14bc 18.72 ± 0.49h
GT 15 min 17.58 ± 3f ND* ND* 16.87 ± 0.48bc 7306.6 ± 113.78a 20.3 ± 0.25h
CT 5 min 28.17 ± 2.1f ND* ND* 4.69 ± 0.04h 542.64 ± 3.11f 553.52 ± 12.8b
CT 10 min 105.84 ± 12.89bc ND* ND* 9.7 ± 0.62fg 5280.04 ± 350.56bc 798.9 ± 3.29a
CT 15 min 115.04 ± 20.46ab ND* ND* 11.54 ± 1.05ef 7378.27 ± 385.21a 830.36 ± 49.57a
WT 5 min 16.49 ± 0.77f ND* ND* 8.44 ± 0.68g 236.63 ± 101.53f 11.99 ± 0.68h
WT 10 min 65.22 ± 4.41de ND* ND* 14.59 ± 0.53cd 5637.93 ± 603.88b 16.56 ± 0.01h
WT 15 min 70.27 ± 2.72de ND* ND* 16.85 ± 2.33bc 6744.28 ± 647.4a 23.51 ± 3.93h
RT 5 min 83.83 ± 5.37cd ND* ND* 13.21 ± 0.43de 424.44 ± 15.11f 151.13 ± 25.36g
RT 10 min 125.59 ± 9.2ab ND* ND* 19.26 ± 0.28ab 3440.4 ± 291.46de 233.77 ± 35.33efg
RT 15 min 135.99 ± 10.86a ND* ND* 20.16 ± 1.09a 4307.17 ± 414.47cd 280.36 ± 81.97ef
FT 5 min 3.26 ± 0.56f ND* ND* 3.75 ± 0.35h 350.95 ± 43.56f 241.75 ± 43.92efg
FT 10 min 9.2 ± 2.63f ND* ND* 8.91 ± 0.32fg 2676.58 ± 408.69e 345.93 ± 40.23cde
FT 15 min 13.36 ± 2.02f ND* ND* 9.18 ± 0.92fg 4244.02 ± 108.94d 424.85 ± 32.4cd

Values represent means ± standard deviation. Different superscript letters within the same column indicate statistically significant differences (p < 0.05) (mean ± SD, n = 3). BT, black tea; GT, green tea; CT, Ceylon tea; WT, white tea; RT, rosehip tea; FT, fennel tea; ND*, not detected.

Calcium concentrations in black tea rose from 176.84 ± 24.41 ppm (mg/L) at 5 min to 452.82 ± 79.07 ppm at 15 min. Similarly, Ceylon tea showed the highest Ca release at 15 min (830.36 ± 49.57 ppm), supporting the idea that longer brewing times are needed to extract divalent cations like Ca and Mg from the plant matrix. This trend was consistent across teas, particularly in Ceylon, rosehip, and fennel infusions.

Potassium, a highly mobile and water-soluble ion, showed rapid release and reached near-maximal levels by 10 min in most teas. For instance, green tea reached 5305.5 ± 498.14 ppm at 10 min and 7306.6 ± 113.78 ppm at 15 min, while Ceylon tea surpassed 7,378 ppm, indicating a fast leaching rate early in brewing. This rapid extraction of K aligns with previous findings (2, 10), where K is reported to leach almost completely within the first few minutes of steeping.

Trace elements such as Fe and Cu exhibited a more gradual increase in concentration. For instance, Fe levels in fennel tea increased from 3.26 ± 0.56 ppm at 5 min to 13.36 ± 2.02 ppm at 15 min. A similar trend was observed for Cu, especially in Ceylon tea, which rose from 2.12 ± 0.41 ppm to 4.15 ± 0.6 ppm. These findings reflect the lower solubility or complexation of multivalent metal ions in tea matrices, which require extended brewing to release measurable amounts (10).

Herbal teas, particularly rosehip and fennel, showed more pronounced increases in mineral release with brewing time compared to Camellia sinensis teas. Although their 5-min brews yielded lower initial mineral concentrations, by 15 min they approached or surpassed other teas in Fe, Ca, and Mg levels. This likely reflects their denser, harder botanical matrices (fruit/seeds) requiring longer time to soften and allow mineral release.

Among all samples, aluminum concentrations in black tea increased significantly, from 4.79 ± 0.8 ppm at 5 min to 25.79 ± 1.03 ppm at 15 min. In contrast, green and white teas released very limited Al (<1 ppm at all times). The relatively higher Al leaching from black tea agrees with previous studies reporting higher Al levels in more oxidized or older leaves (13).

Despite the overall increases, many minerals showed diminishing returns beyond 10 min. For instance, in black and green teas, K levels showed <10% increase between 10 and 15 min, suggesting most of the soluble fraction had already diffused into the infusion. This supports the assertion that while brief steeping is sufficient for most elements, longer times primarily benefit the release of more tightly bound or matrix-associated minerals (10). Additionally, rosehip tea’s naturally low pH (2.82) may have further enhanced mineral solubility at all time points, in line with prior findings that acidic conditions promote the leaching of both essential and non-essential metals (11, 16).

The percentage of mineral transfer into the infusion after 15 min of brewing is summarized in Figure 2.

Figure 2.

Bar chart comparing mineral leaching efficiency percentages for eight elements—aluminum, copper, iron, manganese, magnesium, zinc, potassium, and calcium—across six tea types after fifteen minutes of infusion, with potassium showing the highest extraction in all teas.

Mineral infusion efficiency (%) after 15 min of brewing for each tea type (mean ± SD, n = 3). Bar chart of mineral infusion efficiency (%) after 15 min for six teas (mean ± SD, n = 3). For each mineral (15 min), different letters indicate significant differences among tea types (one-way ANOVA followed by Tukey’s HSD, p < 0.05).

Overall, K exhibited the highest extraction efficiency across all teas (often >50% of leaf K transferred), followed by elements like Zn and Mg. In contrast, Al and Fe showed uniformly low release rates (<30% in most cases). Herbal teas outperformed Camellia teas in extraction efficiency for several minerals. Rosehip and fennel infusions had particularly high yields of Mg and Mn relative to the others, likely a result of rosehip’s low pH and fennel’s prolonged softening during boiling. Rosehip’s acidic environment (pH 2.8) is known to promote the leaching of mineral ions by increasing their solubility (27). Prior studies similarly showed that acidification significantly boosts the extraction of metals from plant matrices (4, 11). In our results, rosehip’s acidity may have enhanced the release of Ca, Fe, and Zn during brewing, giving it one of the highest overall extraction profiles. Indeed, acidifying a tea infusion (for example, with lemon or citric acid) has been shown to prevent the formation of insoluble metal–polyphenol complexes (27), thereby keeping more minerals in solution. By contrast, the near-neutral pH of Camellia teas offers less of this advantage, and their higher polyphenol content (see FT-IR results below) likely retains certain minerals in the spent leaves or precipitates.

In summary, the mineral content of tea infusions increases with brewing time, particularly for the harder-to-extract elements like Ca, Mg, and Fe, although the rate of increase plateaus after about 10 min for most elements. These findings suggest that a ~ 10 min steep may strike a practical balance between maximizing mineral yield and avoiding unnecessarily long brew times. This is in agreement with recent optimization studies indicating that ~10–12 min is an ideal infusion duration for maximizing extraction of key minerals without excessive release of undesirable components (40). From a nutritional perspective, brief infusions suffice to obtain most of the soluble K, Na, and similar ions, whereas extended steeping (beyond 10 min) provides diminishing returns except for certain divalent minerals. It is also noteworthy that although very long brewing (15 + min) can extract substantial amounts of aluminum (as seen in black tea), only a limited fraction of that Al is dialyzable (bioaccessible) in vitro (generally <30%). Thus, the body’s potential absorption of tea-derived Al would be much lower than the total leached content, a point considered favorable from a food safety standpoint (11).

3.5. In-vitro mineral bioaccessibility

Simulated gastrointestinal digestion followed by dialysis showed that only a portion of the minerals released into tea infusions is potentially bioaccessible. This bioaccessible fraction varied significantly among tea types (p < 0.05), depending on both the chemical environment of the infusion and the plant matrix of the tea. As shown in Table 5, the percentage of dialyzable minerals ranged broadly across tea types and elements. Accordingly, Table 5 should be interpreted as an operational estimate of element-specific diffusible (dialyzable) fractions after the full digestion sequence, rather than phase-resolved availability immediately after the gastric (acidic) step.

Table 5.

In-vitro bioaccessibility (%) of minerals in tea infusions after simulated gastrointestinal digestion.

Element Black tea Green tea Ceylon tea White tea Rosehip tea Fennel tea
Al 28.63 ± 0.35Da 22.14 ± 1.74Eb 25.78 ± 1.6Db 21.99 ± 0.25Fb 22.48 ± 1.33Eb 16.19 ± 0.96Ec
Cu 33.96 ± 3.16Cab 28.13 ± 2.36Dbcd 22.05 ± 2.76Dd 31.56 ± 1.08Eabc 36.66 ± 0.41Da 26.4 ± 0.29Dcd
Fe 31.73 ± 1.76CDa 13.07 ± 1.08Fc 15.07 ± 0.22Ec 24.58 ± 1.67Fb 36.17 ± 2.71Da 26.04 ± 1.95Db
Mn 66.49 ± 0.72Ab 59.25 ± 0.65ABd 64.86 ± 0.4Abc 60.73 ± 1.47Bcd 81.38 ± 2.96Aa 58.59 ± 2.13Ad
Mg 59.17 ± 0.67Bab 61.92 ± 1.07Aa 57.92 ± 3.09Bab 52.09 ± 0.35Cc 54.04 ± 1.63Cbc 38.91 ± 1.17Cd
Zn 61.98 ± 2.11ABb 38.36 ± 2.19Cc 62.67 ± 1ABb 65.49 ± 1.05Ab 81.19 ± 4.32Aa 58.45 ± 3.11Ab
K 64.82 ± 0.7Ab 56.78 ± 0.13Bc 56.68 ± 2Bc 62.13 ± 0.7Bb 72.37 ± 2.41Ba 48.5 ± 0.34Bd
Ca 61.51 ± 0.87ABa 56.72 ± 0.33Ba 49.96 ± 3.13Cb 47.01 ± 0.85Dbc 58.22 ± 3.26Ca 41.92 ± 2.34Cc

Values are presented as mean ± standard deviation. Different uppercase letters within the same column indicate significant differences, while different lowercase letters within the same row indicate significant differences (p < 0.05) (mean ± SD, n = 3).

Among the samples, rosehip tea stood out with the highest bioaccessible fractions for several minerals, notably Fe (36.17 ± 2.71% of the infused Fe became dialyzable), Zn (81.19 ± 4.32%), and Mn (81.38 ± 2.96%). This occurred despite rosehip not having the highest total content of those elements in the dry leaves, suggesting that rosehip’s infusion conditions strongly facilitate mineral availability.

The likely explanation is rosehip’s naturally low pH (Table 1) and its reported organic acid profile (especially ascorbic and citric acids) (35, 36, 41), together with the presence of carbonyl/carboxylate-related functional groups suggested by the FT-IR spectrum (Figure 1). These compounds can maintain metals in soluble forms and prevent their precipitation or complexation during digestion. Ascorbic acid, in particular, is a well-known promoter of non-heme iron absorption, as it reduces Fe3+ to the more soluble Fe2+ form and forms stable chelates that resist forming insoluble hydroxides or tannin complexes (27). Citric acid and other organic acids in rosehip likely play a similar role by competing with polyphenols for binding to minerals and thus keeping ions like Fe and Zn in solution (33, 42). Overall, our FT-IR findings provide qualitative support for the presence of oxygenated functional groups consistent with organic-acid/pectin-type structures, which is in line with the proposed pH- and ligand-driven mechanism. Our findings are consistent with reports that lowering the pH or adding organic acids substantially increases the soluble, dialyzable fraction of metals such as Fe, Zn, and Mn in plant digests (10, 11, 27).

In contrast, the Camellia sinensis based teas showed generally lower mineral bioaccessibility, particularly for Fe and Zn. Green tea exhibited the lowest values for these nutritionally important trace elements (Fe bioaccessibility 13.07 ± 1.08%; Zn 38.36 ± 2.19%), while black tea was somewhat higher (Fe 31.73 ± 1.76%; Zn 61.98 ± 2.11%) but still below rosehip. White and Ceylon teas had intermediate bioaccessible percentages (e.g., Zn ~ 63–65%), falling between black tea and rosehip. The reduced bioaccessibility in traditional teas can be attributed to their high polyphenol (tannin) content, which is known to strongly bind minerals and form indigestible complexes (6, 13, 43). During digestion, tea polyphenols likely sequester Fe2+, Zn2+, and Ca2+, rendering them non-dialyzable despite being present in the infusion. Indeed, green and black teas are rich in catechins and tannins that have been characterized as anti-nutrients with respect to mineral uptake (6). Our results reinforce this: although black and green teas contained substantial total Fe and Zn, much of those minerals remained bound to the tea matrix or precipitated with tannins during the digestion simulation, resulting in low dialyzable fractions. This pattern aligns with previous reports that tea polyphenols significantly inhibit iron and zinc availability (17). For example, a recent study demonstrated that adding lemon/citric acid to black tea, effectively countering the polyphenols, improved iron bioaccessibility by reducing iron–tannin complexation (42). In our data, the inherently acidified rosehip infusion mimics this effect, whereas green tea (with a higher tannin content and neutral pH) shows the strongest inhibition of bioaccessibility.

From a speciation standpoint, it should be emphasized that the “dialyzable” fraction determined in this study is an operational proxy of mineral bioaccessibility rather than a direct measurement of intestinal uptake. In plant infusions, metals may occur as free hydrated ions and as complexes with low-molecular-weight ligands (e.g., organic acids) as well as macromolecular constituents such as polyphenols and polysaccharides (e.g., pectins). The stability of these complexes is strongly pH-dependent: the gastric phase (low pH) can protonate phenolate/carboxylate coordination sites and partially destabilize certain metal–ligand complexes, whereas the subsequent shift toward near-neutral intestinal conditions promotes deprotonation-driven re-complexation and, for hydrolysable metals, hydrolysis/precipitation reactions that reduce the diffusible pool. In this context, the shift from acidic to near-neutral conditions can facilitate metal–ligand exchange and re-complexation with polyphenols/tannins, potentially enhancing the binding of high-affinity metals (e.g., Pb, Cd, Cr, and Ni) as well as certain trivalent metals such as Fe(III) and Al(III) (19). Consequently, the comparatively low dialyzable fractions observed for Camellia sinensis infusions are mechanistically consistent with the well-described propensity of tea catechins/tannins to chelate metals and limit non-heme iron availability (19, 44), and dialysis-based studies on tea infusions similarly report (45, 46) that measurable infusion concentrations do not necessarily translate into high dialyzable (bioaccessible) fractions for several trace elements.

The behavior of Ca and Mg across teas also merits attention. Magnesium bioaccessibility ranged from 38.91% in fennel to 61.92% in green tea. Most teas fell in the 50–60% dialyzable range for Mg, indicating over half the infused Mg could potentially be absorbed. A notable outlier was fennel tea, which had the lowest Mg bioaccessibility (38.91 ± 1.17%). This could be due to fennel’s specific matrix components or higher proportion of Mg bound in forms (e.g., phytates or fiber complexes) that resist release during digestion. Rosehip’s Mg bioaccessibility (54.04 ± 1.63%) was moderate, suggesting that despite its acidic environment, certain interactions (possibly with pectin or fiber constituents) limited Mg availability. Pectic polysaccharides present in rosehip could bind divalent cations like Mg2+ and Ca2+ even in acidic conditions (47, 48), reducing their dialyzable fraction. In fact, plant pectins are known to form chelation complexes or gels with Ca/Mg. For example, earlier work noted that pectins in tea leaves can bind calcium from the water, lowering soluble Ca in the infusion (48). This affinity might explain why calcium bioaccessibility was generally lower than for K or Mg in all samples. We observed Ca bioaccessible fractions typically in the 47–62% range (Table 5), with white and fennel teas at the lower end (~47–49%). Black tea showed a relatively higher Ca availability (~61.5%), but given that black tea infusions contained only modest Ca to begin with, even 60% bioaccessibility translates to a very small absolute amount of absorbable Ca per cup. Overall, Ca and Fe were the minerals with the lowest fractional bioaccessibility in this study, whereas potassium and manganese had the highest. Potassium, being highly soluble and not prone to forming insoluble complexes (2), had >60–70% of its infused content in the dialyzable fraction for most teas (exceeding 70% in rosehip). Similarly, Mn bioaccessibility remained quite high (~59–81% across teas), perhaps because Mn2+, while it can bind to polyphenols, is present in such high excess (especially in Camellia teas) that a majority stays free or in loosely bound forms that pass dialysis. Interestingly, rosehip tea had the highest Mn bioaccessibility (81.38%), paralleling its performance with Zn again likely a consequence of organic acids maintaining Mn in solution, and rosehip’s relatively lower tannin levels to interfere.

Taken together, these in-vitro results confirm that the total mineral content in tea leaves or even in the brewed tea does not directly translate to nutritional availability. The chemical characteristics of the tea matrix, including pH, polyphenol/tannin content, organic acids, and perhaps pectins or other constituents, play critical roles in determining how much of each mineral becomes bioaccessible (6). Overall, the herbal teas in our study (especially rosehip) provided a more favorable chemical environment for the bioaccessibility of nutritionally critical trace elements (particularly Fe and Zn), whereas Mg bioaccessibility reached its maximum in green tea (Table 5). The combination of low pH and vitamin C in rosehip overcame some inhibitory effects and significantly enhanced Fe and Zn availability, whereas the high polyphenol content in green and black tea constrained it. This finding reinforces the importance of both tea type and infusion chemistry in the nutritional quality of tea infusions. Notably, our observation that K was highly bioaccessible in all teas echoes findings in other plant-based foods and beverages, where K tends to be the most bioavailable mineral (49). By contrast, elements like Fe and Zn are consistently among the least bioaccessible due to common anti-nutritional factors (tannins, phytates) that bind them (49). Recognizing these differences is important for dietary planning: for instance, relying on teas for Fe or Ca intake would be ineffective due to low bioaccessibility, whereas their contribution to K and Mn intake could be more nutritionally meaningful.

Because the present study focused on total elemental transfer and dialysis-based bioaccessibility, the polyphenolic fraction (total phenolics and/or individual subclasses) was not quantified; nevertheless, polyphenol–mineral interactions provide an important mechanistic context for interpreting element-specific differences in the dialyzable fraction, since tea polyphenols (e.g., catechins, theaflavins, tannins) can act as metal-binding ligands and thereby modulate the diffusible pool during digestion. Evidence is strongest for non-heme iron: human studies have consistently shown that polyphenol-containing beverages (including black tea and several herbal infusions) can markedly inhibit iron absorption in a polyphenol-dependent manner (44, 50). By contrast, effects on zinc appear smaller and more context-dependent, with human data suggesting only modest or non-significant changes with tea consumption, whereas inhibitory effects of polyphenols have been reported under certain dietary conditions (e.g., in the presence of other inhibitors) and in mechanistic models. In addition, polyphenol complexation may also influence the dialyzability of high-affinity and/or toxic metals (e.g., Pb, Cd, Ni), potentially reducing their diffusible fraction (19, 51, 52). Taken together, our dialysis-based bioaccessibility results should be interpreted as operational estimates of diffusible minerals; future work combining mineral bioaccessibility with quantitative polyphenol profiling would allow a more definitive element-by-element interpretation (53).

3.6. Nutritional contribution of tea-derived minerals

The bioaccessible mineral concentrations (per 200 mL cup) obtained from the in-vitro digestion of different tea infusions are presented in Table 6.

Table 6.

Bioaccessible mineral concentrations (mg per 200 mL infusion) of 15 min brewing in different tea types.

Tea type Cu Fe Mn Mg Zn K Ca
Black tea 0.927 0.506 4.102 4.723 6.059 14.204 3.196
Green tea 0.673 0.129 3.451 5.034 3.485 11.416 3.487
Ceylon tea 0.634 0.289 4.098 3.825 5.976 11.741 2.186
White tea 0.812 0.300 3.821 2.849 5.473 13.052 1.459
Rosehip tea 0.784 0.309 3.533 2.204 5.098 10.391 2.061
Fennel tea 0.896 0.379 4.158 5.316 4.892 12.769 2.715

In this study, the bioaccessible mineral contents of a single cup of tea infusion (200 mL, 10 g tea, 15 min brewing) were evaluated against the daily requirements established by the World Health Organization for a 70-kg adult (54). Although the contribution of one cup is limited, this unit has been widely employed in the literature as a standard reference point for comparative assessments (55, 56). Nevertheless, considering that daily consumption habits often involve multiple cups of tea, evaluations based solely on a single serving may underestimate the actual dietary contribution of tea.

Based on Table 6, the bioaccessible iron provided by a 200 mL serving ranged from 0.13 to 0.51 mg Fe/cup depending on tea type, with the highest value observed for black tea (0.51 mg Fe/cup). When benchmarked against an approximate daily requirement of 10 mg, this corresponds to approximately 1–5% per cup (57), indicating that tea can contribute measurably to iron intake under the standardized brewing conditions used here, although it should not be considered a primary dietary source. For calcium, the bioaccessible fraction ranged between 1.46 and 3.49 mg Ca/cup (Table 6). Relative to a 1,000 mg/day reference intake, this corresponds to approximately 0.15–0.35% per cup (58), confirming that calcium contribution from a single serving is low. Zinc showed a wider quantitative contribution: bioaccessible Zn ranged from 3.49 to 6.06 mg/cup, with the highest value again observed for black tea (6.06 mg/cup). This corresponds to a substantial share of typical daily reference intakes, suggesting that Zn contribution from tea may be nutritionally meaningful under the present conditions. However, given the variability in serving size, tea dose, brand, and habitual consumption patterns, these values should be interpreted as scenario-specific estimates rather than generalized dietary claims (59). Copper and manganese contributions were also non-trivial in absolute terms: bioaccessible Cu ranged from 0.63 to 0.93 mg/cup and Mn ranged from 3.45 to 4.16 mg/cup. These results indicate that tea can contribute appreciably to Cu and Mn intake depending on tea type and consumption frequency, consistent with the high dialyzable fractions observed for these elements in Table 5. Potassium was not negligible: the bioaccessible K ranged from 10.39 to 14.20 mg/cup. Nevertheless, relative to a 3,500 mg/day reference intake, this still represents <0.5% per cup, indicating a limited contribution to daily potassium requirements (54).

Overall, these results indicate that, under the tested brewing conditions, tea infusions may provide a limited contribution to daily Fe, Ca, and K requirements, whereas Zn (and to some extent Cu and Mn) can reach quantitatively relevant levels in the bioaccessible fraction. Accordingly, any “source” interpretation should be made cautiously and in a mineral-specific manner, particularly because real-world practices (tea dose, cup volume, re-steeping, and concurrent food intake) can materially change both mineral leaching and post-digestion bioaccessibility. However, given the widespread practice of consuming several cups throughout the day, tea may provide a modest cumulative contribution to the intake of trace elements such as copper, manganese, and zinc (9, 60, 61).

3.7. Effects of brewing time and tea format on mineral infusion

The concentrations of minerals released during the infusion of loose-leaf and bagged black tea at different brewing times are presented in Figure 3.

Figure 3.

Grouped bar charts (seven panels: Cu, Fe, Mn, Mg, Zn, K, Ca) comparing mg/L concentrations in loose-leaf vs bagged black tea infusions at 5, 10, and 15 minutes, with error bars (mean ± SD) and a legend for brewing format.

Mineral concentrations (mg/L) in loose-leaf and bagged black tea infusions at different brewing times (mean ± SD, n = 3). Line or grouped bar graph comparing loose-leaf vs bagged black tea at 5, 10, and 15 min (mean ± SD, n = 3); Mg, Fe, Zn, Cu higher in loose-leaf; time main effect present; no interaction.

Two-way ANOVA (Table 7) showed that brewing time had a highly significant impact on the infusion concentrations of all measured minerals (p < 0.05). In contrast, the tea format (loose-leaf vs. bagged) was a significant factor for only certain elements: specifically Fe, Zn, Mg, and Cu levels were higher in loose-leaf infusions (p < 0.01), whereas K, Ca, and Mn showed no significant format effect (p > 0.05). No significant interaction between brewing time and format was observed for any element (p > 0.05), indicating that extending the steeping time increased mineral release similarly for both loose and bagged teas (i.e., the time effect did not depend on format). Table 7 summarizes the ANOVA results, including F-statistics, p-values, and partial eta-squared (η2) effect sizes for each element.

Table 7.

Comparison of mineral concentrations (mg/L) between loose-leaf and bagged black tea infusions at different brewing times.

Element Factor F p-value Partial η2
K Format 1.2 n.s. (>0.05) 0.05
Time 8.5 < 0.01 0.30
Format×Time 0.3 n.s. (>0.05) 0.01
Ca Format 0.2 n.s. (>0.05) 0.01
Time 18.0 < 0.001 0.75
Format×Time 0.4 n.s. (>0.05) 0.02
Mg Format 9.0 < 0.01 0.40
Time 25.0 < 0.001 0.80
Format×Time 1.1 n.s. (>0.05) 0.05
Fe Format 22.0 < 0.001 0.65
Time 15.0 < 0.001 0.60
Format×Time 0.8 n.s. (>0.05) 0.03
Zn Format 20.0 < 0.001 0.62
Time 12.0 < 0.001 0.50
Format×Time 0.6 n.s. (>0.05) 0.02
Cu Format 8.0 < 0.01 0.35
Time 10.0 < 0.001 0.45
Format×Time 1.5 n.s. (>0.05) 0.06
Mn Format 0.7 n.s. (>0.05) 0.03
Time 15.0 < 0.001 0.58
Format×Time 0.5 n.s. (>0.05) 0.02

The brewing time factor clearly exhibited the largest influence on mineral release, as reflected by its high F-values and large η2 in Table 7. This finding agrees with reports that longer steeping enhances the leaching of minerals from tea leaves (10, 55, 62). The effect of tea format was comparatively smaller, but still notable for specific elements: loose-leaf tea yielded significantly higher Fe, Zn, Mg, and Cu concentrations than bagged tea. These results are in line with earlier studies showing that bagged teas often contain lower levels of certain minerals than loose leaves, likely due to the finer particles and processing of tea bags (63–65). Finer tea particles can increase surface area yet may originate from lower-grade material or lose mineral-rich dust, which can reduce mineral content in the infusion (66). Importantly, the lack of any interaction effect means that extending brewing time benefits mineral extraction regardless of format. In practical terms, this suggests that prolonging infusion time is a more critical factor for maximizing mineral release from black tea than the choice between loose-leaf or bagged format. Overall, our results underscore that while using loose leaves can modestly improve the extraction of certain nutrients, brew duration is the dominant factor controlling mineral yield in tea infusions, consistent with the literature on tea preparation and mineral availability (66, 67).

Limitations and future perspectives. Although the brewing conditions applied here provide a standardized basis for comparing tea matrix and brewing format, only steeping time was systematically varied. Other preparation variables that can influence mineral leaching and post-digestion bioaccessibility, such as water temperature, tea to water ratio, and the number of infusions (re-steeping), were not examined. Therefore, extrapolation of the present findings to the full diversity of real-world consumer practices should be made with caution. Future studies should employ factorial designs and response surface methodology (DoE/RSM) to jointly model and optimize these parameters using mineral leaching efficiency and INFOGEST based bioaccessibility as response variables. Additionally, the study did not characterize trace-element speciation or quantify binding/stability constants of mineral–ligand complexes in dry teas or infusions; such questions require dedicated speciation approaches (e.g., chromatographic separation coupled to element-specific detection or spectroscopic methods) beyond the present scope (17–19). Also, future studies should quantify total phenolics (e.g., Folin–Ciocalteu) and profile major subclasses by chromatographic methods (e.g., HPLC-DAD/LC–MS) alongside in-vitro bioaccessibility to link matrix polyphenols with element-specific dialyzability (53).

4. Conclusion

This study demonstrated that mineral bioaccessibility from tea is not determined solely by total elemental content but is strongly modulated by matrix composition, infusion duration, and physical format. Rosehip tea emerged as the most effective medium for enhancing the bioaccessibility of nutritionally critical elements such as Fe and Zn, owing to its acidic pH and high organic acid content, whereas Camellia sinensis teas showed lower values, likely due to polyphenol-mediated chelation. Notably, Mg bioaccessibility was highest in green tea, indicating that matrix effects were element-dependent (e.g., Mg bioaccessibility: 61.92% in green tea vs. 54.04% in rosehip tea). Brewing time also played a critical role: while short infusions were sufficient for monovalent ions such as K, extended steeping up to 10–15 min improved the release of divalent minerals, though with diminishing returns after 10 min (p < 0.05). Loose-leaf teas consistently yielded higher levels of Cu, Fe, Mg, and Zn than bagged teas, underscoring the influence of tea format. When expressed on a per-serving basis (200 mL, 15 min), the bioaccessible fraction corresponded to 0.13–0.51 mg Fe/cup, 1.46–3.49 mg Ca/cup, and 10.39–14.20 mg K/cup, whereas Zn reached 3.49–6.06 mg/cup depending on tea type. Overall, these serving-level data indicate that tea infusions contribute modestly to Fe, Ca, and K intakes but may provide quantitatively relevant amounts of Zn (and, to a lesser extent, Cu and Mn) within the bioaccessible fraction under the tested conditions.

Future research should aim to integrate polyphenol and organic acid profiling (e.g., via LC–MS/MS or metabolomics approaches) with in-vitro and in-vivo absorption models to better elucidate mineral–matrix interactions. Expanding this work to include variability across tea brands, origins, and processing methods will also strengthen dietary recommendations. Ultimately, clarifying how tea’s biochemical composition governs mineral solubility and post-digestion availability may support more evidence-based consumer guidance and formulation strategies. In addition, DoE/RSM-based optimization of brewing parameters (temperature, tea-to-water ratio, and re-steeping) would help translate comparative findings into practical preparation guidance.

Funding Statement

The author(s) declared that financial support was not received for this work and/or its publication.

Footnotes

Edited by: Chao Ai, Guangdong Ocean University, China

Reviewed by: Sonali Raghunath, University of Minnesota Twin Cities, United States

Yuri Shatalin, Institute of Theoretical and Experimental Biophysics Russian Academy of Sciences, Russia

Data availability statement

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

Author contributions

HA: Supervision, Visualization, Conceptualization, Methodology, Validation, Writing – original draft, Formal analysis, Writing – review & editing, Data curation, Investigation.

Conflict of interest

The author(s) declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Generative AI statement

The author(s) declared that Generative AI was not used in the creation of this manuscript.

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References

  • 1.Dou QP. Tea in health and disease. Nutrients. (2019) 11:929. doi: 10.3390/nu11040929, [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Polat A, Kalcıoğlu Z, Müezzinoğlu N. Effect of infusion time on black tea quality, mineral content and sensory properties prepared using traditional Turkish infusion method. Int J Gastron Food Sci. (2022) 29:100559. doi: 10.1016/j.ijgfs.2022.100559 [DOI] [Google Scholar]
  • 3.Długaszek M, Kaszczuk M. Assessment of the nutritional value of various teas infusions in terms of the macro- and trace elements content. J Trace Elem Med Biol. (2020) 59:126428. doi: 10.1016/j.jtemb.2019.126428, [DOI] [PubMed] [Google Scholar]
  • 4.Schwalfenberg G, Genuis SJ, Rodushkin I. The benefits and risks of consuming brewed tea: beware of toxic element contamination. J Toxicol. (2013) 2013:370460. doi: 10.1155/2013/370460, [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Galán MG, Drago SR. Food matrix and cooking process affect mineral bioaccessibility of enteral nutrition formulas. J Sci Food Agric. (2014) 94:515–21. doi: 10.1002/jsfa.6280, [DOI] [PubMed] [Google Scholar]
  • 6.Rousseau S, Kyomugasho C, Celus M, Hendrickx MEG, Grauwet T. Barriers impairing mineral bioaccessibility and bioavailability in plant-based foods and the perspectives for food processing. Crit Rev Food Sci Nutr. (2020) 60:826–43. doi: 10.1080/10408398.2018.1552243, [DOI] [PubMed] [Google Scholar]
  • 7.Zhang J, Luo G, Tu C, Yang N, Tang K, Tu C. In vitro simulation of the bioavailability of fluoride in food roasted with high-fluoride fuel and its health risks. Front Nutr. (2025) 12:12. doi: 10.3389/fnut.2025.1560015, [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.de FP S, Bitobrovec A, ACM H, Pereira RP, Weinert PL, dos Anjos VE. In vitro bioaccessibility of Al, Cu, Cd, and Pb following simulated gastro-intestinal digestion and total content of these metals in different Brazilian brands of yerba mate tea. Food Chem. (2019) 281:285–93. doi: 10.1016/j.foodchem.2018.12.102 [DOI] [PubMed] [Google Scholar]
  • 9.Powell JJ, Burden TJ, Thompson RP. In vitro mineral availability from digested tea: a rich dietary source of managanese. Analyst. (1998) 123:1721–4. doi: 10.1039/a802131g, [DOI] [PubMed] [Google Scholar]
  • 10.Sembratowicz I, Rusinek-Prystupa E. Effects of brewing time on the content of minerals in infusions of medicinal herbs. Pol J Environ Stud. (2014) 23:177–86. [Google Scholar]
  • 11.Mazurek A, Włodarczyk-Stasiak M. The effect of the addition of selected juices on the content of aluminum in tea infusions and health risk assessment in the Polish population. Appl Sci. (2024) 14:5173. doi: 10.3390/app14125173 [DOI] [Google Scholar]
  • 12.Lo Turco V, Nava V, Potortì AG, Sgrò B, Arrigo MA, Di Bella G. Total polyphenol contents and mineral profiles in commercial wellness herbal infusions: evaluation of the differences between two preparation methods. Foods. (2024) 13:2145. doi: 10.3390/foods13132145 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Milani RF, Sanches VL, Morgano MA, Cadore S. Trace elements in ready-to-drink ice tea: Total content, in vitro bioaccessibility and risk assessment. Food Res Int. (2020) 137:109732. doi: 10.1016/j.foodres.2020.109732, [DOI] [PubMed] [Google Scholar]
  • 14.Gallaher RN, Gallaher K, Marshall AJ, Marshall AC. Mineral analysis of ten types of commercially available tea. J Food Compos Anal. (2006) 19:53–7. doi: 10.1016/j.jfca.2006.02.006 [DOI] [Google Scholar]
  • 15.Karak T, Bhagat RM. Trace elements in tea leaves, made tea and tea infusion: a review. Food Res Int. (2010) 43:2234–52. doi: 10.1016/j.foodres.2010.08.010 [DOI] [Google Scholar]
  • 16.Salahinejad M, Aflaki F. Toxic and essential mineral elements content of black tea leaves and their tea infusions consumed in Iran. Biol Trace Elem Res. (2010) 134:109–17. doi: 10.1007/s12011-009-8449-z, [DOI] [PubMed] [Google Scholar]
  • 17.Khouzam RB, Szpunar J, Holeman M, Lobinski R. Trace element speciation in food: state of the art of analytical techniques and methods. Pure Appl Chem. (2012) 84:169–79. doi: 10.1351/pac-con-11-08-14 [DOI] [Google Scholar]
  • 18.Zhang L, Guan Q, Jiang J, Khan MS. Tannin complexation with metal ions and its implication on human health, environment and industry: an overview. Int J Biol Macromol. (2023) 253:127485. doi: 10.1016/j.ijbiomac.2023.127485 [DOI] [PubMed] [Google Scholar]
  • 19.Kasprzak MM, Erxleben A, Ochocki J. Properties and applications of flavonoid metal complexes. RSC Adv. (2015) 5:45853–77. doi: 10.1039/C5RA05069C [DOI] [Google Scholar]
  • 20.Muller CC, Muller ALH, Pirola C, Duarte FA, Flores EMM, Muller EI. Feasibility of nut digestion using single reaction chamber for further trace element determination by ICP-OES. Microchem J. (2014) 116:255–60. doi: 10.1016/j.microc.2014.04.013 [DOI] [Google Scholar]
  • 21.Sezer B, Ozturk M, Ayvaz H, Apaydın H, Boyaci IH. Laser-induced breakdown spectroscopy as a reliable analytical method for classifying commercial cheese samples based on their cooking/stretching process. Food Chem. (2022) 390:132946. doi: 10.1016/j.foodchem.2022.132946, [DOI] [PubMed] [Google Scholar]
  • 22.Apaydın H, Demirci M, Bölük E, Kopuk B, Palabiyik I. Effect of different roasting conditions on the physicochemical properties, acrylamide concentration, and mineral bioaccessibility of nuts. Food Biosci. (2024) 58:201–22. doi: 10.1016/j.fbio.2024.103646 [DOI] [Google Scholar]
  • 23.Rasul S, Kajal AM, Khan A. Quantifying uncertainty in analytical measurements. J Bangladesh Acad Sci. (2018) 41:145–63. doi: 10.3329/jbas.v41i2.35494 [DOI] [Google Scholar]
  • 24.Brodkorb A, Egger L, Alminger M, Alvito P, Assunção R, Ballance S, et al. INFOGEST static in vitro simulation of gastrointestinal food digestion. Nat Protoc. (2019) 14:991–1014. doi: 10.1038/s41596-018-0119-1, [DOI] [PubMed] [Google Scholar]
  • 25.Giorgini E, Notarstefano V, Foligni R, Carloni P, Damiani E. First ATR-FTIR characterization of black, green and white teas (Camellia sinensis) from European Tea Gardens: a PCA analysis to differentiate leaves from the in-cup infusion. Foods. (2023) 13:109. doi: 10.3390/foods13010109, [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Friling M, Haber A, Furman-Assaf S, Israel D, Harari G, Evans M, et al. Bioavailability of calcium in an enriched postbiotic system compared to calcium citrate in healthy postmenopausal females; A randomized, double-blind, comparator-controlled, crossover study. Front Nutr. (2023) 10:1–10. doi: 10.3389/fnut.2023.1073622, [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Mawouma S, Mbadji M, Noubangomde N, Bandiang PH, Djerassem CN. Investigation of the effect of black tea acidulation with citric acid or its natural source on dietary iron bioaccessibility. Int J Biol Chem Sci. (2024) 18:894–903. doi: 10.4314/ijbcs.v18i3.13 [DOI] [Google Scholar]
  • 28.Walkowiak-Bródka A, Piekuś-Słomka N, Wnuk K, Kupcewicz B. Analysis of white mulberry leaves and dietary supplements, ATR-FTIR combined with chemometrics for the rapid determination of 1-deoxynojirimycin. Nutrients. (2022) 14:5276. doi: 10.3390/nu14245276, [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Long DA. Infrared and Raman characteristic group frequencies. Tables and charts George Socrates John Wiley and Sons, Ltd, Chichester, third edition, 2001. Price £135. J Raman Spectrosc. (2004) 35:905. doi: 10.1002/jrs.1238 [DOI] [Google Scholar]
  • 30.Coates J. "Interpretation of Infrared Spectra, A Practical Approach" In: R. A. Meyers. Encyclopedia of Analytical Chemistry. Hoboken, NJ: John Wiley & Sons, Ltd; (2006) [Google Scholar]
  • 31.Wongsa P, Phatikulrungsun P, Prathumthong S. FT-IR characteristics, phenolic profiles and inhibitory potential against digestive enzymes of 25 herbal infusions. Sci Rep. (2022) 12:6631. doi: 10.1038/s41598-022-10669-z, [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Petry N, Egli I, Zeder C, Walczyk T, Hurrell R. Polyphenols and phytic acid contribute to the low iron bioavailability from common beans in young women. J Nutr. (2010) 140:1977–82. doi: 10.3945/jn.110.125369, [DOI] [PubMed] [Google Scholar]
  • 33.Piskin E, Cianciosi D, Gulec S, Tomas M, Capanoglu E. Iron absorption: factors, limitations, and improvement methods. ACS Omega. (2022) 7:20441–56. doi: 10.1021/acsomega.2c01833, [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Canteri MHG, Renard CMGC, Le Bourvellec C, Bureau S. ATR-FTIR spectroscopy to determine cell wall composition: Application on a large diversity of fruits and vegetables. Carbohydr Polym. (2019) 212:186–96. doi: 10.1016/j.carbpol.2019.02.021, [DOI] [PubMed] [Google Scholar]
  • 35.İlyasoğlu H, Arpa TE. Effect of brewing conditions on antioxidant properties of rosehip tea beverage: study by response surface methodology. J Food Sci Technol. (2017) 54:3737–43. doi: 10.1007/s13197-017-2794-2, [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Murathan ZT, Zarifikhosroshahi M, Kafkas E, Sevindik E. Characterization of bioactive compounds in rosehip species from East Anatolia region of Turkey. Ital J Food Sci. (2016) 28:314–25. doi: 10.14674/1120-1770/ijfs.v198. [DOI] [Google Scholar]
  • 37.Gulec S, Anderson GJ, Collins JF. Mechanistic and regulatory aspects of intestinal iron absorption. Am J Physiol Gastrointest Liver Physiol. (2014) 307:G397–409. doi: 10.1152/ajpgi.00348.2013, [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Gorgulu TY, Ozdemir OD, Kipcak AS, Piskin MB, Derun EM. The effect of lemon on the essential element concentrations of herbal and fruit teas. Appl Biol Chem. (2016) 59:425–31. doi: 10.1007/s13765-016-0161-z [DOI] [Google Scholar]
  • 39.Kleszcz K, Michoń K. Influence of citric acid on the extraction level of manganese in green and black tea infusions. Sci Technol Innov. (2023) 17:1–8. doi: 10.55225/sti.504 [DOI] [Google Scholar]
  • 40.Durmus Y, Atasoy AD, Atasoy AF. Mathematical optimization of multilinear and artificial neural network regressions for mineral composition of different tea types infusions. Sci Rep. (2024) 14:18285. doi: 10.1038/s41598-024-69149-1, [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Păucean A, Șerban L-R, Chiș MS, Mureșan V, Pușcaș A, Man SM, et al. Nutritional composition, in vitro carbohydrates digestibility, textural and sensory characteristics of bread as affected by ancient wheat flour type and sourdough fermentation time. Food Chem X. (2024) 22:101298. doi: 10.1016/j.fochx.2024.101298, [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.McGee EJT, Diosady LL. Prevention of iron-polyphenol complex formation by chelation in black tea. LWT. (2018) 89:756–62. doi: 10.1016/j.lwt.2017.11.041 [DOI] [Google Scholar]
  • 43.Thankachan P, Walczyk T, Muthayya S, Kurpad AV, Hurrell RF. Iron absorption in young Indian women: the interaction of iron status with the influence of tea and ascorbic acid. Am J Clin Nutr. (2008) 87:881–6. doi: 10.1093/ajcn/87.4.881, [DOI] [PubMed] [Google Scholar]
  • 44.Delimont NM, Haub MD, Lindshield BL. The Impact of Tannin Consumption on Iron Bioavailability and Status: A Narrative Review. Curr Dev Nutr. (2017) 1:1–12. doi: 10.3945/cdn.116.000042, [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.Alnaimat AS, Barciela-Alonso MC, Herbello-Hermelo P, Domínguez-González R, Bermejo-Barrera P. In vitro assessment of major and trace element bioaccessibility in tea samples. Talanta. (2021) 225:122083. doi: 10.1016/j.talanta.2021.122083, [DOI] [PubMed] [Google Scholar]
  • 46.Szymczycha-Madeja A, Welna M, Pohl P. Simplified method of multi-elemental analysis of dialyzable fraction of tea infusions by FAAS and ICP OES. Biol Trace Elem Res. (2020) 195:272–90. doi: 10.1007/s12011-019-01828-x, [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Giacomin CE, Chen RY, Hack E, Fischer P. Tea film formation in artificial tap water. Soft Matter. (2023) 19:5967–77. doi: 10.1039/d3sm00169e, [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.Mossion A, Potin-Gautier M, Delerue S, Le Hécho I, Behra P. Effect of water composition on aluminium, calcium and organic carbon extraction in tea infusions. Food Chem. (2008) 106:1467–75. doi: 10.1016/j.foodchem.2007.05.098 [DOI] [Google Scholar]
  • 49.Mutlu C, Aylanc V, Vilas-Boas M. Bee Pollen as a dietary mineral source: In vitro bioaccessibility and health risk evaluation. Molecules. (2025) 30:2745. doi: 10.3390/molecules30132745, [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50.Mascitelli L, Goldstein MR. Does inhibition of iron absorption by coffee reduce the risk of gout? Int J Clin Pract. (2011) 65:713. doi: 10.1111/j.1742-1241.2011.02640.x, [DOI] [PubMed] [Google Scholar]
  • 51.Ganji V, Kies CV. Zinc bioavailability and tea consumption. Studies in healthy humans consuming self-selected and laboratory-controlled diets. Plant Foods Hum Nutr. (1994) 46:267–76. doi: 10.1007/BF01088999, [DOI] [PubMed] [Google Scholar]
  • 52.Graham HN. Green tea composition, consumption, and polyphenol chemistry. Prev Med. (1992) 21:334–50. doi: 10.1016/0091-7435(92)90041-F [DOI] [PubMed] [Google Scholar]
  • 53.Pérez M, Dominguez-López I, Lamuela-Raventós RM. The chemistry behind the Folin-Ciocalteu method for the estimation of (Poly)phenol content in food: total phenolic intake in a Mediterranean dietary pattern. J Agric Food Chem. (2023) 71:17543–53. doi: 10.1021/acs.jafc.3c04022, [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54.World Health Organization (WHO). Vitamin and mineral requirements in human nutrition Geneva: World Health Organization (WHO). 2nd edn. (2004). 341 p.
  • 55.Długaszek M, Mierczyk J. Elemental composition of green tea infusions depending on the method of their brewing. Eur Food Res Technol. (2024) 250:301–9. doi: 10.1007/s00217-023-04387-7 [DOI] [Google Scholar]
  • 56.Brzezicha-Cirocka J, Grembecka M, Szefer P. Oxalate, magnesium and calcium content in selected kinds of tea: impact on human health. Eur Food Res Technol. (2016) 242:383–9. doi: 10.1007/s00217-015-2548-1 [DOI] [Google Scholar]
  • 57.Bresson JL, Burlingame B, Dean T, Fairweather-Tait S, Heinonen M, Hirsch-Ernst KI, et al. Scientific opinion on dietary reference values for iron. EFSA J. (2015) 13:1–117. doi: 10.2903/j.efsa.2015.4254 [DOI] [Google Scholar]
  • 58.National Institutes of Health Calcium (2023). Strengthening knowledge and understanding of dietary supplements. Available online at: https://ods.od.nih.gov/factsheets/Calcium-Consumer/ (Accessed October 5, 2026).
  • 59.Hambidge K, Miller LV, Krebs NF. Physiological requirements for zinc. Int J Vitam Nutr Res. (2011) 81:72–8. doi: 10.1024/0300-9831/a000052, [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 60.Samolińska W, Kiczorowska B, Kwiecień M, Rusinek-Prystupa E. Determination of minerals in herbal infusions promoting weight loss. Biol Trace Elem Res. (2017) 175:495–502. doi: 10.1007/s12011-016-0790-4, [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 61.Mehra A, Baker CL. Leaching and bioavailability of aluminium, copper and manganese from tea (Camellia sinensis). Food Chem. (2007) 100:1456–63. doi: 10.1016/j.foodchem.2005.11.038 [DOI] [Google Scholar]
  • 62.Długaszek M, Mierczyk J, Skrzeczanowski W. Assessment of elements in black tea infusions by brewing method in terms of their nutritional value. Biol Trace Elem Res. (2025) 203:6132. doi: 10.1007/s12011-025-04629-7, [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 63.Tan H-L, Ojukwu M, Lee L-X, Easa AM. Quality characteristics of green tea’s infusion as influenced by brands and types of brewing water. Heliyon. (2023) 9:e12638. doi: 10.1016/j.heliyon.2022.e12638, [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 64.Khanum H, Faiza S, Sulochanamma G, Borse BB. Quality, antioxidant activity and composition of Indian black teas. J Food Sci Technol. (2017) 54:1266–72. doi: 10.1007/s13197-017-2506-y, [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 65.Polechońska L, Dambiec M, Klink A, Rudecki A. Concentrations and solubility of selected trace metals in leaf and bagged black teas commercialized in Poland. J Food Drug Anal. (2015) 23:486–92. doi: 10.1016/j.jfda.2014.08.003, [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 66.Jaganyi D, Ndlovu T. Kinetics of tea infusion. Part 3: the effect of tea bag size and shape on the rate of caffeine extraction from Ceylon orange pekoe tea. Food Chem. (2001) 75:63–6. doi: 10.1016/S0308-8146(01)00186-8 [DOI] [Google Scholar]
  • 67.Saletnik B, Zagula G, Grabek-Lejko D, Kasprzyk I, Bajcar M, Czernicka M, et al. Effect of infusion time and addition of lemon juice on the mobility of selected macroelements and aluminium during aqueous extraction of quality brands of leaf tea. J Elem. (2018) 23, 611–624. doi: 10.5601/jelem.2017.22.3.1449 [DOI] [Google Scholar]

Associated Data

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Data Availability Statement

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


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