Journal of Environmental Science International
[ ORIGINAL ARTICLE ]
Journal of Environmental Science International - Vol. 35, No. 3, pp.173-190
ISSN: 1225-4517 (Print) 2287-3503 (Online)
Print publication date 31 Mar 2026
Received 04 Feb 2026 Revised 26 Feb 2026 Accepted 26 Feb 2026
DOI: https://doi.org/10.5322/JESI.2026.35.3.173

Physicochemical Characterization of Soluble and Insoluble Dietary Fiber Fractions from Apple Pomace Using Green Pre-treatment: Toward Carbon Reduction and Circular Resource Valorization

Hyo Jun Won ; Da Hee Kim ; Hee Sun Yang ; Mi Jin Kim ; Sung Hyen Lee ; Seung-Yeob Song ; Min Young Kim ; Mina Kim ; Ae-Jin Choi*
Food Tech Resources Research Division, National Institute of Crop and Food Science (NICS), Rural Development Administration (RDA), Wanju-Gun 55365, Korea

Correspondence to: *Ae-Jin Choi, Food Tech Resources Research Division, National Institute of Crop and Food Science (NICS), Rural Development Administration (RDA), Wanju-Gun 55365, Korea Phone:+82-63-238-3691 E-mail: aejini77@korea.kr

Ⓒ The Korean Environmental Sciences Society. All rights reserved.
This is an Open-Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

In South Korea, apple processing generates substantial amounts of apple pomace (AP), a moisture-rich byproduct that can threaten the environment if not managed promptly. Because AP is rich in dietary fiber but predominantly insoluble, increasing the soluble dietary fiber (SDF) fraction can expand its potential for higher-value upcycling applications. Although SDF recovery often relies on strong-acid extraction, eco-friendly pre-treatment strategies may reduce chemical inputs and downstream treatment demands, thereby supporting circular resource valorization. To fractionate AP into SDF and insoluble dietary fiber (IDF), an untreated control, an HCl-assisted extraction route, and fermentation pre-treatment with Aspergillus luchuensis 74-5 were compared. The SDF and IDF fractions were recovered after extraction and ethanol precipitation, and their yield, hydration, and dispersion properties (solubility, water absorption, and dispersibility) were measured. Structural features were assessed using spectroscopic, chromatographic, diffraction, and microscopic analyses. Fermentation increased the SDF yield from 1.51% to 10.17%, approaching that of HCl-assisted extraction (12.00%), while maintaining a higher IDF yield than that of HCl-assisted extraction (p < 0.05). The 74-5–derived SDF fraction showed higher solubility (93.19%) and lower water absorption (0.80 g/g) than the HCl-derived fraction (49.39% and 2.60 g/g), with comparable dispersibility. Structural analyses revealed workflow-dependent differences in polymer distribution and microstructure, which were consistent with the observed hydration and dispersion properties. Overall, these results suggest that the 74-5 fermentation–based workflow can support circular resource valorization of AP while potentially reducing chemical inputs and downstream treatment burdens compared with acid-assisted extraction.

Keywords:

Apple pomace, Circular resource valorization, Aspergillus luchuensis, Fermentation, Hot-water extraction, Ethanol precipitation, Soluble dietary fiber

1. Introduction

Apple processing generates large volumes of apple pomace (AP), a by-product remaining after juice and cider production (Costa et al., 2022; Thomas et al., 2025). Improperly managed landfilling of AP and other biodegradable fruit-processing residues can generate methane emissions and leachate (Czubaszek et al., 2022; Putra et al., 2023). In South Korea, apple production remains substantial, with recent estimates placing national output at roughly 0.43 million metric tons and orchard area at around 33,900 ha (USDA Foreign Agricultural Service (FAS), 2023; Korea Agro–Fisheries & Food Trade Corporation (aT), 2023). From an environmental-science perspective, upcycling—converting low-value byproducts into higher-value products—can reduce disposal impacts and potentially lower waste–management–related greenhouse-gas emissions (Ampese et al., 2023; Azarakhsh et al., 2024), while enabling the recovery of bioactive compounds and biopolymer-rich fractions from agri-food by-products (Ben-Othman et al., 2020; Pascoalino et al., 2025).

AP is generated in large quantities but is often underutilized because its high moisture content and compositional heterogeneity accelerate spoilage and complicate collection, storage, and transport; therefore, rapid stabilization and careful management are required (Vandorou et al., 2024; Thomas et al., 2025). Nevertheless, systematic reviews and meta-analyses support incorporating AP for food fortification across diverse food categories, underscoring its potential as a value-added valorization pathway aligned with waste-management objectives (Antonic et al., 2020; Lyu et al., 2020; Zaky et al., 2024). In this context, fractionating AP into standardized, functionality-oriented ingredient streams—such as soluble and insoluble dietary-fiber fractions (SDF and IDF)—can enhance value capture and broaden application potential by providing more consistent, fit-for-purpose materials (Buljeta et al., 2023; Thomas et al., 2025).

AP is increasingly recognized as a fiber-rich by-product for value-added utilization because it contains abundant cell-wall polysaccharides such as cellulose, hemicellulose, and pectin; however, its high moisture content and perishability necessitate prompt stabilization (e.g., drying) to enable storage and downstream processing (Vandorou et al., 2024; Thomas et al., 2025). To obtain standardized dietary-fiber fractions—particularly soluble dietary fiber (SDF) for incorporation into food matrices—enhancing partial solubilization of the cell-wall matrix is a key step (Buljeta et al., 2023; Al Faruq et al., 2025). Acid-assisted extraction (e.g., HCl) can promote solubilization, but conventional acid– and base-assisted routes may generate chemical wastes and acidic or alkaline effluents requiring neutralization and treatment prior to discharge and may contribute to equipment corrosion, increasing operational and environmental burdens (Riyamol et al., 2023; Pattarapisitporn and Noma, 2025). Therefore, low-chemical pre-treatment strategies may offer carbon- and resource-efficiency benefits (Riyamol et al., 2023; Pattarapisitporn and Noma, 2025); workflow selection and optimization for targeted SDF and IDF recovery are largely governed by extraction methods and key processing conditions (temperature, pH, solvent, time, and liquid–to–solid ratio) (Buljeta et al., 2023; Kaur et al., 2025).

A range of pre-treatment and modification strategies (chemical and enzymatic treatments, thermomechanical processing, and microbial fermentation) has been explored to enrich SDF and improve fiber functionality, as these routes can reshape fiber microstructure and physicochemical properties, with increasing interest in more sustainable processing (Liu et al., 2024; Kumari et al., 2025; Zhao et al., 2025). In particular, sustainability-oriented “green” approaches can improve SDF yield and functionality (Al Faruq et al., 2025; Zhao et al., 2025). Within this framework, fermentation-based pre-treatment is a promising option because it leverages microbial enzymes to partially disassemble the cell-wall matrix, thereby promoting SDF release (Wang et al., 2024a; Al Faruq et al., 2025). However, several emerging green technologies—including microwave, ultrasound, and high-pressure homogenisation—remain costly and challenging to scale up (Al Faruq et al., 2025).

As a food-grade koji mold rich in carbohydrate-active enzymes, Aspergillus luchuensis 74-5 can partially deconstruct plant cell-wall polysaccharides to increase extractable soluble fractions, potentially supporting SDF enrichment during downstream fractionation (Yamashita, 2021; Futagami, 2022; Li et al., 2024). However, AP valorization studies often focus on isolated unit operations, with limited benchmarking of end-to-end workflows or clear links between process selection and the physicochemical performance of the resulting SDF and IDF ingredients (Asif et al., 2024; Thomas et al., 2025).

This gap highlights the need for a practical pre-treatment-to-fractionation strategy that (i) increases SDF recovery to improve processability and incorporation in aqueous formulations (Al Faruq et al., 2025; Kumari et al., 2025), (ii) preserves IDF yield to retain overall fiber mass and co-product potential (Ma et al., 2025a; Mammolenti et al., 2025), and (iii) reduces chemical inputs and downstream treatment requirements in support of circular-resource valorization (Al Faruq et al., 2025; Pascoalino et al., 2025).

Accordingly, this study compares a green workflow (A. luchuensis 74-5 fermentation → hot-water extraction → ethanol precipitation) with an untreated control and an HCl-assisted extraction route. Outcomes assessed include SDF and IDF yields, hydration and dispersion properties (solubility, water absorption, dispersibility), and structural signatures (FT-IR, GPC, XRD, SEM, TEM). Collectively, these comparisons clarify how process selection drives fraction recovery and functional performance, informing sustainable, circular valorization of apple pomace.


2. Materials and Methods

2.1. Apple pomace

Apple pomace (AP) was obtained from Chungcheongbuk-do Horticulture Nonghyup (Chungcheongbuk-do, Republic of Korea). The pomace was derived from Fuji apples and comprised peel, seeds, and residual pulp remaining after mechanical juice pressing. The AP was transported to the laboratory frozen and stored at −20℃ until further use.

2.2. Reagents

Ethanol was purchased from Ethanol Supplies World Co., Ltd. (Jeonju-si, Republic of Korea). A commercial white-koji starter culture containing Aspergillus luchuensis 74-5 (Suwon Jongguk) was obtained from Suwon Fermentation Co., Ltd. (Hwaseong-si, Republic of Korea) and used for fermentation pre-treatment.

2.3. Experimental design and pre-treatment conditions

AP stored at −20℃ was thawed at 4℃ prior to treatment, then divided into three groups (Control, 74-5, and HCl), with all experiments performed in triplicate (n = 3). For the Control and HCl groups, thawed AP was incubated at room temperature (RT; 20-25℃) for 7 days without starter addition. For fungal pre–treatment (74-5 group), AP was mixed with a commercial white–koji starter culture containing Aspergillus luchuensis 74-5 at 1% (w/w) and incubated at RT for 7 days under the same time and temperature conditions. After incubation, all samples were hot-air dried at 50℃ to constant weight prior to extraction and fractionation (Section 2.4), with the HCl group subsequently subjected to acid-assisted extraction as described below.

2.4. Extraction and fractionation

A schematic overview of the extraction and fractionation into SDF and IDF is shown in Fig. 1. SDF and IDF fractions were separated from the pre-treated, dried AP following Szymańska-Chargot et al.(2017) with minor modifications. Briefly, dried AP (150 g) was extracted at 85℃ for 30 min per cycle (two cycles total) using distilled water for the Control and 74-5 groups (1.5 L per cycle) or hydrochloric acid solutions for the HCl group (1 M for 30 min followed by 0.5 M for 30 min). After each extraction cycle, the slurry was vacuum-filtered through Whatman Grade 4 filter paper (20-25 μm particle retention), and the retained residue was collected as the IDF fraction. Filtrates from both cycles were pooled and mixed with ethanol at a filtrate:ethanol ratio of 1:4 (v/v), followed by precipitation at 4℃ for 24 h. The precipitate was recovered by vacuum filtration as the SDF fraction. Both SDF and IDF fractions were hot-air dried at 50℃ to constant weight, ground into powders, and used for subsequent analyses.

Fig. 1.

(A) Schematic workflow for SDF and IDF fractionation from apple pomace highlighting the green (74-5) process, and (B) summary of steps applied in the Control, 74-5, and HCl treatments. (A) provides a schematic of the green (A. luchuensis 74-5) process for SDF and IDF fractionation: IDF was collected as the filter-retained residue after vacuum filtration, and SDF was recovered from pooled filtrates by ethanol precipitation followed by vacuum filtration. (B) summarizes the processing steps applied to each treatment group (Control, 74-5, and HCl); ○, applied; ×, not applied; RT, room temperature (20–25℃).

2.5. Physicochemical properties

2.5.1. Fraction yields

Yields were calculated on a dry-weight basis after hot-air drying at 50℃ to constant weight. Overall yield (%) was calculated as:

SDF or IDF yield (%) = (dry extract mass, g × 100) / (pre-treated dried sample mass, 150 g).
2.5.2. Solubility

Water solubility was evaluated using the water solubility index (WSI) with minor modifications of the method described by Sifat et al.(2021). 1.0 g of powder (<212 μm) was mixed with 12 mL of distilled water in a 50 mL centrifuge tube and stirred at 30℃ for 30 min. The mixture was centrifuged (3,000 rpm, 30 min, 4℃). The supernatant was carefully collected and oven-dried at 105℃ until constant weight (≈4 h) to obtain the mass of dissolved solids. WSI (%) was calculated as:

WSI (%) = (mass of solids in the dried supernatant, g × 100) / (dry sample mass, 1.0 g).
2.5.3. Absorption property

Water absorption was determined using the water absorption index (WAI) based on the wet pellet remaining after the WSI test. After removing the supernatant, the wet pellet was weighed, and WAI (g/g) was calculated as:

WAI (g/g) = (wet pellet mass after centrifugation, g) / (dry sample mass, 1.0 g).
2.5.4. Dispersibility

Dispersibility was evaluated with minor modifications of the method described by Jinapong et al.(2008). A 1.0 g of powdered sample was mixed with 10 mL of distilled water in a 50 mL centrifuge tube and vortexed for 20 s to form a suspension. The suspension was immediately filtered through a 212 μm stainless-steel sieve. An aliquot of the filtrate (1.0 mL) was transferred to a pre-weighed aluminum dish and dried in an oven at 105℃ for 4 h to constant weight to determine total solids (%TS). %TS was calculated as:

%TS = (mass of dried solids after drying at 105℃, g × 100) / (mass of filtrate, 1.0 g)
Dispersibility (%) was calculated as:
Dispersibility (%) = ((10 + a) × %TS) / (a × ((100 − b) /100))

where a is the mass of the dry sample added (g; 1.0 g in this study), b is the initial moisture content of the dry sample (%; 0% in this study), and 10 represents the mass of water added (10 mL ≈ 10 g).

2.6. Structural and morphological characterization

Structural and morphological analyses (FT-IR, GPC, XRD, SEM, and TEM) were performed at the Korea Polymer Testing & Research Institute (KOPTRI, Seoul, Republic of Korea). Measurement conditions are described below.

2.6.1. FT-IR

FT-IR spectra were acquired using a JASCO FT/IR-4600 spectrometer equipped with an ATR accessory (Ge crystal). Spectra were recorded over 4,000-700 cm⁻¹ with 32 scans at a resolution of 4 cm⁻¹.

2.6.2. GPC

Molecular-weight distribution was determined by gel permeation chromatography (GPC) using a Tosoh HLC-8420 system equipped with a refractive index (RI) detector. The separation was performed under the size-exclusion principle, where analytes are resolved primarily by hydrodynamic size (larger species elute earlier). Samples (3 mg/mL) were dissolved in 0.1 M NaNO₃, filtered through a 0.22 μm nylon membrane filter, and injected with a 50 μL injection volume. Separation was performed using a column set consisting of a TSKgel guard PWxl, two GMPWxl columns, and a G2500PWxl column maintained at 40℃. The mobile-phase flow rate was 1.0 mL/min. Molecular weights were calibrated using PEG/PEO standards, and chromatographic data were processed with EcoSEC Elite-WS software.

2.6.3. XRD

XRD patterns were collected using a Bruker D8 ADVANCE diffractometer with Cu Kα radiation (40 kV, 40 mA). Data were recorded over a 2θ range of 5–90°.

2.6.4. SEM

Surface morphology was examined using a Hitachi SU5000 field-emission scanning electron microscope (FE-SEM). Samples were platinum–coated (F-Pt-6-200 condition) prior to imaging. Micrographs were acquired at an accelerating voltage of 5 kV, beam intensity of 30, and magnifications of ×200, ×1,000, and ×10,000. The instrument resolution was 1.2 nm at 30 kV and 3.0 nm at 1 kV.

2.6.5. TEM

Ultrastructural features were observed using a FEI Tecnai F20 G2 transmission electron microscope (TEM). Images were acquired at an accelerating voltage of 50-200 kV under a nominal image resolution of < 0.23 nm, with magnifications ranging from ×25 to ×1,030,000.

2.7. Statistical analysis

All experiments were performed in triplicate (n = 3), and results are presented as mean ± standard deviation. Statistical analyses were conducted in R (version 4.3.3) using RStudio. Differences among treatments were evaluated by one-way analysis of variance (ANOVA) followed by Duncan’s multiple range test (p < 0.05). Pairwise comparisons were performed using Student’s t-test.


3. Results and Discussion

3.1. Effects of pre-treatment on SDF and IDF yields

Treatment significantly altered the partitioning of dietary fiber into soluble and insoluble fractions (Table 1). The control showed a low SDF yield (1.51%), whereas A. luchuensis 74-5 pre-treatment and the HCl-assisted process increased SDF yield to 10.17% and 12.00%, respectively (p < 0.05). Notably, the 74-5 workflow retained a higher IDF yield than the HCl condition (50.47% vs. 30.95%; p < 0.05). These trends are consistent with reports that fermentation-based pre-treatment can promote partial solubilization of fiber-rich matrices via microbial enzyme activities, thereby increasing extractable soluble fractions (Wang et al., 2024b: Al Faruq et al., 2025). Nevertheless, fermentation effects on soluble cell–wall polysaccharides are strain- and process-dependent, and changes in SDF may reflect a balance between matrix loosening and solubilization and enzymatic depolymerization (Tuly and Ma, 2024; Zhao et al., 2025; Meng et al., 2025). In one study, Aspergillus oryzae solid-state fermentation of apple peel was reported to decrease SDF while increasing IDF, suggesting that enzymatic depolymerization may offset solubilization under certain conditions (Li et al., 2024). Accordingly, the increased SDF observed in the present 74-5 workflow suggests that matrix loosening and solubilization predominated over enzymatic depolymerization under our fractionation conditions.

Comparison of SDF and IDF yields and physicochemical properties in AP: Control, HCl, and 74-5 (A. luchuensis )

3.2. Hydration and dispersion properties of SDF and IDF fractions

In the SDF fraction, the control showed low solubility (47.78%) and high water absorption (2.89 g/g), and its dispersibility was not measurable (NM). By contrast, the 74-5 workflow produced a markedly more water-soluble fraction (93.19%) with substantially lower water absorption (0.80 g/g) than the HCl-derived SDF (49.39% and 2.60 g/g) (Table 1; p < 0.05), while showing comparable dispersibility (43.23% vs. 45.72%). In the IDF fraction, the control exhibited the highest apparent solubility (30.34%), water absorption (5.39 g/g), and dispersibility (90.27%), whereas HCl-IDF showed the lowest apparent solubility (8.96%) and dispersibility (7.22%) (Table 1). Compared with HCl-IDF, 74-5 IDF retained higher apparent solubility (15.17%) and dispersibility (15.22%) with similar water absorption (3.90 vs. 3.70 g/g). Overall, relative to the control, both pre-treatments shifted fiber partitioning and hydration behavior, with the 74-5 workflow yielding a more soluble SDF while preserving a larger IDF fraction than the HCl-assisted process. Collectively, these results suggest that solubility, water absorption, and dispersibility do not necessarily covary in apple pomace-derived SDF and IDF fractions: process-driven cell-wall disruption may increase the solubilized fraction without increasing water uptake, and dispersibility may also depend on particle wettability and microstructure, as reported in previous studies (Schmid et al., 2020; Schmid et al., 2021; Hollestelle et al., 2024). Accordingly, these findings suggest that hydration and dispersion metrics may be process–dependent, such that solubility, water uptake, and dispersibility do not necessarily show a fixed positive association.

3.3. FT-IR spectra of SDF and IDF fractions

In the SDF spectra (Fig. 2A, red-highlighted), bands at 1730-1745 cm⁻¹ and 1600-1630 cm⁻¹ were observed across treatments and are attributable to pectic ester carbonyl (C=O) and carboxylate (COO⁻) groups, respectively (Jarrín-Chacón et al., 2023; Santiago-Gómez et al., 2025). Because the relative intensity of these bands is commonly associated with the methyl-esterification state of pectic carboxyl groups, the observed profiles suggest pre–treatment-dependent differences in pectic functional–group signatures. Notably, the HCl–derived SDF showed a relatively more pronounced band near 1730-1745 cm⁻¹ than the control and 74-5 SDFs, consistent with an acid-associated shift in the balance between ester carbonyl and carboxylate contributions under the present conditions. By contrast, the IDF spectra (Fig. 2B, blue-highlighted) were dominated by the aliphatic C-H stretching region at 2950-2850 cm⁻¹, with distinct bands near 2920 and 2890 cm⁻¹ across treatments, consistent with plant cell-wall materials (e.g., cellulose-rich fibers) (Meraj et al., 2024; Kaya, 2024).

Fig. 2.

FT-IR spectra of soluble (A) and insoluble (B) dietary fiber fractions isolated from AP after pre-treatment with either HCl or A. luchuensis 74-5.

3.4. GPC chromatograms of SDF and IDF fractions

GPC chromatograms showed that pre-treatment altered polymer populations in both SDF and IDF fractions by shifting the molecular-weight distribution (MWD) (Fig. 3). These changes were reflected in differences in dominant peak-top molecular weights (Mp) and dispersity (Mw/Mn) (PEG/PEO-equivalent; RI-based). For the SDF fraction (Fig. 3A), Control_SDF exhibited a broad, multi-peaked distribution (Mw/Mn = 114). The 74–5 pre-treatment shifted the distribution toward a dominant low-kDa population while retaining a high-MW tail (Mw/Mn = 33.4), consistent with reports that fermentation can remodel pectin populations during subsequent aqueous extraction (Xu et al., 2022; Muslu Can et al., 2024). In contrast, HCl_SDF showed the narrowest distribution centered around a mid-kDa population (Mw/Mn = 12.7), consistent with acid-catalyzed depolymerization and peak “focusing” under heated acidic extraction (Ma et al., 2025b; Pattarapisitporn and Noma, 2025). For the IDF fraction (Fig. 3B), Control_IDF was dominated by low-kDa components with high dispersity (Mw/Mn = 70.7). The 74-5 pre-treatment increased the relative contribution of a low-kDa population while retaining a minor high-MW tail (Mw/Mn = 56.5), whereas HCl_IDF displayed a simplified two-population profile with reduced dispersity (Mw/Mn = 25.4), consistent with acid hydrolysis-driven redistribution of polymer size classes (Ma et al., 2025b; Pattarapisitporn and Noma, 2025).

Fig. 3.

GPC chromatograms of soluble (A) and insoluble (B) dietary fiber fractions isolated from AP after pre-treatment with either HCl or A. luchuensis 74-5.

3.5. XRD patterns of SDF and IDF fractions

In the SDF patterns (Fig. 4A), all treatments showed a broad halo in the 13-22° (2θ) region (red boxes) with no prominent crystalline reflections, indicating predominantly amorphous polysaccharide matrices (Sayed et al., 2022). By contrast, the IDF patterns (Fig. 4B) showed cellulose-associated diffraction peaks, including a strong peak at 2θ≈22° (blue boxes) and a weak shoulder feature near 16-17° (blue circles), indicating crystalline cellulose domains in the insoluble fraction.

Fig. 4.

XRD patterns of soluble (A) and insoluble (B) dietary fiber fractions isolated from AP after pre-treatment with either HCl or A. luchuensis 74-5.

3.6. Microstructure and morphology assessed by SEM and TEM

3.6.1. SEM

In the SDF SEM images (Fig. 5A), 74-5_SDF exhibited a rough, microvoid-rich surface compared with the more compact, sheet-like appearance of Control_SDF and HCl_SDF, consistent with reports that processing can alter the porosity and surface texture of dietary-fiber/pectin-rich materials (Wu et al., 2022; Qin et al., 2024). In the IDF SEM images (Fig. 5B), all treatments largely retained a plate-like morphology, although surface roughness and particulate deposits differed among treatments. Overall, the more open surface texture of 74-5_SDF could facilitate wetting and water penetration, qualitatively consistent with its higher solubility and lower water absorption in Table 1.

Fig. 5.

SEM images of soluble (A) and insoluble (B) dietary fiber fractions isolated from AP after pre-treatment with either HCl or A. luchuensis 74-5.

3.6.2. TEM

In the SDF TEM images (Fig. 6A), Control_SDF showed a largely uniform background with only occasional electron-dense particulates. By contrast, 74-5_SDF exhibited more frequent, finely dispersed electron-dense nanoscale particulates, whereas HCl_SDF showed fewer but larger electron-dense clusters. Together, these patterns suggest that, even with an identical ethanol-precipitation step, upstream pre–treatment and extraction conditions may influence the nanoscale association of the recovered SDF, with 74-5 pre-treatment tending toward finer dispersion and the HCl-assisted route tending toward larger clusters (Guo et al., 2017; Chen et al., 2021). In the IDF TEM images (Fig. 6B), Control_IDF displayed a compact electron-dense aggregate, while 74-5_IDF showed smaller and more dispersed particulates across the field. In contrast, HCl_IDF exhibited an extensive, interconnected web-like fibrillar network. Such network-like nanofibrillar morphologies have been reported for fibrous substrates after chemical or enzyme-assisted processing, supporting the interpretation that pre-treatment altered the nanoscale organization of the insoluble matrix (Chen et al., 2015; Xie et al., 2016).

Fig. 6.

TEM images of soluble (A) and insoluble (B) dietary fiber fractions isolated from AP after pre-treatment with either HCl or A. luchuensis 74-5.

3.7. Environmental implications of workflow selection

3.7.1. Potential reduction in chemical inputs

Compared with conventional acid-assisted extraction, the fermentation-based workflow reduces reliance on strong acids, thereby potentially decreasing the generation of acidic process streams and the associated needs for neutralization and wastewater treatment (Bosch and Malgas, 2023; Dang et al., 2025). This shift is environmentally relevant because life-cycle and process sustainability assessments of acid–based extraction systems consistently indicate that reagent consumption and downstream conditioning steps can be major contributors to overall burdens, meaning that chemical-leaner routes can translate into measurable reductions in impact (Midolo et al., 2024; Carpentieri et al., 2025; del Amo-Mateos et al., 2026). In particular, since wastewater treatment is typically energy-intensive and closely linked to greenhouse-gas emissions, lowering neutralization demand and treatment load could reduce the indirect energy use and carbon footprint of the overall fractionation workflow (Ramírez-Melgarejo and Stringer, 2024; El Abbadi et al., 2025; Lan Anh and Le Luu, 2025).

3.7.2. Potential mitigation of methane emissions

Diverting AP from landfilling to valorization workflows is environmentally important because methane is generated when biodegradable organics decompose under anaerobic landfill conditions. To mitigate landfill methane, management measures generally combine reduced biodegradable inputs with earlier landfill-gas capture for destruction or energy recovery (Scharff et al., 2024; Dai and Wang, 2024; Folorunsho et al., 2026). In this framework, diverting moisture-rich AP into SDF and IDF fractionation represents a practical form of input reduction and may therefore lower methane-related impacts relative to anaerobic landfill disposal (Chickering et al., 2023; Scharff et al., 2024; Kaban et al., 2025). In this context, a lower-chemical fermentation route may deliver more specific climate benefits by (i) avoiding fugitive CH₄ by diverting wet AP away from landfilling and (ii) lowering indirect emissions linked to strong-acid use through reduced neutralization demand and wastewater-treatment burden. Future studies should evaluate the net climate benefit of the fermentation-based route using a comparative life cycle assessment (LCA) following standard LCA frameworks. This assessment should account for process energy use, chemical inputs, downstream neutralization and wastewater-treatment requirements, and avoided emissions relative to landfilling.


4. Conclusions

This study compared a fermentation–based pre-treatment (A. luchuensis 74–5) with an HCl-assisted route for fractionating apple pomace into SDF and IDF. The 74-5 workflow increased SDF yield from 1.51% to 10.17%, approaching the HCl-assisted process (12.00%), while retaining a higher IDF yield than HCl (50.47% vs. 30.95%; p < 0.05). The 74-5-derived SDF exhibited markedly higher solubility (93.19%) and lower water absorption (0.80 g/g) than the HCl-derived SDF (49.39% and 2.60 g/g), with comparable dispersibility. FT-IR, GPC, XRD, SEM, and TEM analyses supported workflow-dependent differences in structural signatures and microstructure across treatments.

Overall, the 74-5-based workflow (fermentation pre-treatment-hot-water extraction-ethanol precipitation) represents a reduced-chemical option for producing functionality-oriented SDF and IDF fractions from apple pomace. By avoiding strong–acid extraction, this workflow may reduce chemical inputs as well as downstream neutralization and wastewater-treatment requirements. Moreover, diverting apple pomace from anaerobic disposal pathways such as landfilling may offer potential to mitigate methane-related emissions and the associated energy and carbon burdens compared with acid-based processing.

Acknowledgments

This research was funded by the Research Program for Agriculture Science and Technology Development (Project No. PJ01733201), Rural Development Administration (RDA), Republic of Korea, and by the 2024–2026 RDA Postdoctoral Fellowship Program of the National Institute of Crop and Food Science (NICS), RDA.

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∙ Post-doc. Hyo Jun Won

Food Tech Resources Research Division, National Institute of Crop and Food Science (NICS), Rural Development Administration (RDA)E-mail:hjwon7943@korea.kr

∙ Researcher. Da Hee Kim

Food Tech Resources Research Division, National Institute of Crop and Food Science (NICS), Rural Development Administration (RDA)E-mail:dahee215@korea.kr

∙ Researcher. Hee Sun Yang

Food Tech Resources Research Division, National Institute of Crop and Food Science (NICS), Rural Development Administration (RDA)E-mail:yanghs0704@korea.kr

∙ Researcher. Mi Jin Kim

Food Tech Resources Research Division, National Institute of Crop and Food Science (NICS), Rural Development Administration (RDA)E-mail:kyk314@korea.kr

∙ Senior Researcher. Sung Hyen Lee

Food Tech Resources Research Division, National Institute of Crop and Food Science (NICS), Rural Development Administration (RDA)E-mail:lshin@korea.kr

∙ Researcher. Seung-Yeob Song

Food Tech Resources Research Division, National Institute of Crop and Food Science (NICS), Rural Development Administration (RDA)E-mail:s2y337@korea.kr

∙ Researcher. Min Young Kim

Food Tech Resources Research Division, National Institute of Crop and Food Science (NICS), Rural Development Administration (RDA)E-mail:kmyqwer@korea.kr

∙ Researcher. Mina Kim

Food Tech Resources Research Division, National Institute of Crop and Food Science (NICS), Rural Development Administration (RDA)E-mail:kimmina@korea.kr

∙ Researcher. Ae-Jin Choi

Food Tech Resources Research Division, National Institute of Crop and Food Science (NICS), Rural Development Administration (RDA)E-mail:aejini77@korea.kr

Fig. 1.

Fig. 1.
(A) Schematic workflow for SDF and IDF fractionation from apple pomace highlighting the green (74-5) process, and (B) summary of steps applied in the Control, 74-5, and HCl treatments. (A) provides a schematic of the green (A. luchuensis 74-5) process for SDF and IDF fractionation: IDF was collected as the filter-retained residue after vacuum filtration, and SDF was recovered from pooled filtrates by ethanol precipitation followed by vacuum filtration. (B) summarizes the processing steps applied to each treatment group (Control, 74-5, and HCl); ○, applied; ×, not applied; RT, room temperature (20–25℃).

Fig. 2.

Fig. 2.
FT-IR spectra of soluble (A) and insoluble (B) dietary fiber fractions isolated from AP after pre-treatment with either HCl or A. luchuensis 74-5.

Fig. 3.

Fig. 3.
GPC chromatograms of soluble (A) and insoluble (B) dietary fiber fractions isolated from AP after pre-treatment with either HCl or A. luchuensis 74-5.

Fig. 4.

Fig. 4.
XRD patterns of soluble (A) and insoluble (B) dietary fiber fractions isolated from AP after pre-treatment with either HCl or A. luchuensis 74-5.

Fig. 5.

Fig. 5.
SEM images of soluble (A) and insoluble (B) dietary fiber fractions isolated from AP after pre-treatment with either HCl or A. luchuensis 74-5.

Fig. 6.

Fig. 6.
TEM images of soluble (A) and insoluble (B) dietary fiber fractions isolated from AP after pre-treatment with either HCl or A. luchuensis 74-5.

Table 1.

Comparison of SDF and IDF yields and physicochemical properties in AP: Control, HCl, and 74-5 (A. luchuensis )

Treatments Polysaccharide type Yield (%) Solubility (%) Absorption (g/g) Dispersibility (%)
1)Control: Untreated apple pomace incubated at room temperature (RT; 20–25℃) for 7 days.
2)74-5: Apple pomace inoculated with A. luchuensis 74-5 1% (w/w) and incubated at RT for 7 days.
3)HCl: Apple pomace was incubated at RT for 7 days (same as Control), then hot-water extracted with 1 M HCl for 30 min, followed by 0.5 M HCl for 30 min; subsequent steps followed the same procedures as the other treatments.
4)Different small letters above each value indicate significant differences in SDF means within the same column according to Duncan's multiple range test (p < 0.05).
5)Different capital letters above each value indicate significant differences in IDF means within the same column according to Duncan's multiple range test (p < 0.05).
6)Statistical analyses were performed by R Studio(version 4.3.3). Values are the mean±SD of three replications (n=3). *p < 0.05, **p< 0.01, ***p < 0.001.
7)NM, not measurable. Control_SDF dispersibility was not measurable (NM); therefore, statistical analysis for SDF dispersibility was performed only for 74-5 and HCl.
Control1) SDF c1.51 ± 0.354) b47.78 ± 2.35 a2.89 ± 0.02 NM7)
IDF A86.82 ± 1.355) A30.34 ± 0.93 A5.39 ± 0.17 A90.27 ± 1.90
74-52) SDF b10.17 ± 0.16 a93.19 ± 1.29 c0.80 ± 0.04 a43.23 ± 2.50
IDF B50.47 ± 0.44 B15.17 ± 1.20 B3.90 ± 0.13 B15.22 ± 2.34
HCl3) SDF a12.00 ± 0.84 b49.39 ± 0.89 b2.60 ± 0.01 a45.72 ± 1.17
IDF C30.95 ± 0.49 C8.96 ± 0.63 B3.70 ± 0.16 C7.22 ± 1.11
SDF_F-Value 330.191***6) 748.281*** 4751.562*** 2.452
IDF_F-Value 3197.177*** 403.295*** 108.547*** 1831.448***