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Data Note

Physicochemical Pretreatment on Lesser-Known Shrub Biomass for Bio-Pellet Production

[version 1; peer review: awaiting peer review]
PUBLISHED 16 Apr 2026
Author details Author details
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REVIEWER STATUS AWAITING PEER REVIEW

This article is included in the Energy gateway.

This article is included in the Plant Science gateway.

Abstract

Abstract*

Rising demand for sustainable energy has renewed interest in forest biomass, yet shrubs remain underutilized as their wood has lower strength, durability, and dimensions, relegating it to low-value uses like firewood. Nonetheless, shrubs grow rapidly, are easy to cultivate, and show high ecological adaptability, making them promising bioenergy feedstocks where woody biomass is limited or unevenly distributed. This study aimed to generate a comprehensive dataset evaluating whether physicochemical pretreatment (solvent-based extraction followed by torrefaction) can improve key fuel properties of bio-pellet feedstock from four lesser-known shrub species (Lagerstroemia speciosa, Ganophyllum falcatum, Myrsine avenis, and Mischocarpus sundaicus), with particular emphasis on reducing volatile matter that commonly remains high even after torrefaction and can prevent compliance with Indonesian quality standards. Branch particles (20–40 mesh; 0.41–0.82 mm) collected in South Sulawesi, Indonesia, were extracted at a 1:7 solid-to-liquid ratio using distilled water, ethanol, hexane, or sequential ethanol+hexane at 25 Â°C (6 h; or 3 h + 3 h sequential) and 50 Â°C (2 h; or 1 h + 1 h sequential), washed until no solvent odor remained, oven-dried (100 Â°C, 24 h), and torrefied uniformly at 200 Â°C for 10 min. Moisture content, weight loss (after extraction and after torrefaction), total weight loss, yield, volatile matter, and gross calorific value were determined and summarized as means with standard deviations (for moisture and volatile matter) across all species–solvent–temperature combinations. The dataset indicates that solvent extraction coupled with torrefaction can reduce volatile matter for the most shrubs species, but values remain relatively high and do not yet meet SNI 8675:2018 thresholds for M. avenis, underscoring the need for further optimization. Despite limitations in extraction conditions, torrefaction settings, solvent-removal verification, and replicates, the dataset provides evidence to guide process optimization and supports broader utilization of shrub biomass for renewable energy applications.

Keywords

Bio-pellet, Calorific value, Chemical extraction, Shrub, Torrefaction, Volatile matter, Yield

Introduction

The growing global demand for sustainable energy sources has renewed attention toward biomass as a versatile and renewable resource.1 Among various forms of forest-derived biomass, shrubs represent a particularly underutilized yet abundant vegetation group. Although morphologically similar to trees, shrub wood generally possesses lower strength, limited durability, and smaller dimensions, restricting its use to low-value applications such as firewood. However, shrubs offer notable advantages, such as rapid growth, ease of cultivation, and high ecological adaptability.2 It positions them as promising candidates for bioenergy development,3,4,5 especially in regions where woody biomass resources are limited or unevenly distributed.

Despite their potential, previous studies on bio-pellets derived from lesser-known shrub species have shown that key fuel properties, particularly calorific value and volatile matter content, frequently fall below the quality requirements established in the Indonesian National Standard (SNI 8675–2018: Biomass pellets for energy).5,6 While thermal pre- and post-treatment through torrefaction has been shown to improve energy density, volatile matter concentrations remain high and continue to hinder combustion efficiency and emissions performance.3 This condition underscores the need for additional pretreatment steps capable of extracting low-energy compounds prior to thermal processing.

To address this challenge, the present study generated a comprehensive dataset investigating the effectiveness of physicochemical pretreatment, specifically solvent-based extraction (chemical treatment) followed by torrefaction (physical treatment) in modifying the fuel properties of four lesser-known shrub species (L. speciosa, G. falcatum, M. avenis, and M. sundaicus).7 The data were produced to evaluate how different solvents (distilled water, ethanol, hexane, and ethanol–hexane) and extraction temperatures influence moisture content, weight loss, yield, volatile matter content, and calorific value. By systematically comparing these conditions across species, the dataset aims to clarify which pretreatment strategies most effectively reduce volatile compounds while maintaining or enhancing the energy potential of shrub biomass. Enhancing the quality of these materials not only increases their suitability as renewable fuel sources but also promotes the broader utilization of shrub vegetation in sustainable energy systems. The dataset thus provides foundational evidence for optimizing chemical extraction–torrefaction processes and informs future efforts to establish shrubs as viable feedstock for renewable energy applications.

Materials and methods

Study site, materials, and sample collection

Four lesser-known shrub species, including Lagerstroemia speciosa (Local name: Bungur), Ganophyllum falcatum (Locong), Myrsine avenis (Latte), and Mischocarpus sundaicus (Terasa) were selected as biomass feedstocks. The plant materials were taxonomically identified by botanist Nasri, and voucher specimens (Voucher No. WAN0005748/L. speciosa, No. WAN0021952/G. falcatum, No. WAN0017752/M. avenis, and No. WAN0008828/M. sundaicus) have been deposited in the Herbarium Wanariset, located in Kutai Kartanegara Regency, East Kalimantan Province, Indonesia (−0.997047, 116.976286).

Branches were collected from the Educational Forest Area of Hasanuddin University, Maros Regency, South Sulawesi, Indonesia (−5.005145, 119.767224). Sample preparation through to pretreatment was conducted at the Laboratory of Forest Products Utilization and Processing, Faculty of Forestry, Hasanuddin University, Makassar, Indonesia (−5.130221, 119.485481). Subsequent property testing was performed at the Environmental and Forestry Laboratory, Faculty of Forestry, Hasanuddin University, Makassar, Indonesia (−5.130277, 119.484054), and the gross calorific value analysis was carried out at the Chemical Service Laboratory of the Center for Poultry and Livestock Assembly and Testing, Bogor, Indonesia (−6.663145, 106.857261).

Sample preparation

Collected shrub branches including the bark were cleaned and sun-dried to air-dry condition (moisture content <12%). The material was chopped using a flaker machine. It was then comminuted with a hammer mill to produce smaller particle, and sieved using a wire mesh to obtain particles retained between 20 and 40 mesh (0.41–0.82 mm). Only this fraction was used in subsequent experiments.

Physicochemical pretreatment overview

The pretreatment comprised a chemical extraction (soaking) followed by a physical extraction (torrefaction). Chemical extraction was designed to remove volatile and other low-energy constituents prior to thermal conditioning. Torrefaction then provided a uniform thermal step for all samples. A process flow is provided in the study’s method schematic ( Figure 1).

41666536-0f36-401c-923a-374bb59f408a_figure1.gif

Figure 1. A schematic study methods of physicochemical treatment on shrub biomass.

Chemical extraction

For each run, 100 g (oven-dry basis) of shrub particles were placed in an Erlenmeyer flask and contacted with solvent at a 1:7 (wt/wt) solid-to-liquid ratio. Four solvent conditions were tested, including distilled water, ethanol, hexane, and a sequential ethanol + hexane treatment. Extractions were conducted at 25 Â°C for 6 h (room temperature) and at 50 Â°C for 2 h (elevated temperature kept below solvent boiling points). To limit evaporation, especially at 50 Â°C, flasks were covered with aluminum foil. Suspensions were manually stirred every hour for approximately 30 s to promote mass transfer. For the sequential ethanol + hexane condition, soaking was performed consecutively in ethanol then hexane, with 3 h + 3 h at 25 Â°C and 1 h + 1 h at 50 Â°C. After extraction, slurries were vacuum-filtered and the retained solids were washed repeatedly with 80 Â°C distilled water until no solvent odor remained. This practical criterion was used to confirm solvent removal. The solids were then dried in a Memmert UN55 oven at 100 Â°C for 24 h.

Physical extraction (torrefaction)

After the chemical extraction, the dried-extracted samples were wrapped in aluminum foil and torrefied at 200 Â°C for 10 min in an oven. This temperature was aligned with that used in previous studies,3 while the duration was shortened to improve the efficiency without significantly reducing the calorific value. All samples received the same torrefaction setting, without additional controlled variables in this step.

Properties measurement

After pretreatment, the following properties were determined, including moisture content (MC), weight loss (WL) (separately after chemical extraction and after torrefaction), total weight loss, yield, volatile matter (VM), and gross calorific value. MC, WL, yield, and VM were assessed at the Environmental and Forestry Laboratory, Faculty of Forestry, Hasanuddin University (Makassar), while gross calorific value was measured at the Chemical Service Laboratory of the Center for Poultry and Livestock Assembly and Testing (Bogor). Summary data are reported for each shrub species under each solvent and temperature condition ( Table 1–4 and Figure 2–8).

Table 1. Moisture content of shrubs pre- and post-physicochemical treatment.

Shrub SpeciesRaw/SolventChemical Extraction at 25 Â°CChemical Extraction at 50 Â°C
MC (%)SDMC (%)SD
L. speciosa Raw6.81*0.85--
Distilled water6.570.166.550.06
Ethanol5.970.066.070.05
Hexane5.490.076.000.09
Ethanol + Hexane6.160.076.140.05
G. falcatum Raw9.29*0.85--
Distilled water6.090.066.650.09
Ethanol6.460.026.100.24
Hexane6.450.056.220.03
Ethanol + Hexane6.340.076.200.09
M. avenis Raw9.44*0.30--
Distilled water5.810.115.760.09
Ethanol6.110.045.950.04
Hexane5.550.055.750.03
Ethanol + Hexane6.000.076.130.07
M. sundaicus Raw8.70*0.96--
Distilled water6.630.116.540.04
Ethanol6.570.066.640.03
Hexane5.780.046.320.07
Ethanol + Hexane6.600.066.260.07

Table 2. Weight loss and yield of shrubs following physicochemical treatment.

Shrub Species/SolventWL After Chemical Extraction (%)WL After Torrefaction (%)Total WL After Treatment (%)Yield (%)
25 Â°C50 Â°C25 Â°C50 Â°C25 Â°C50 Â°C25 Â°C50 Â°C
L. speciosa
Distilled water15.9017.941.050.4516.9518.3883.0581.62
Ethanol17.9618.560.150.2118.1118.7781.8981.23
Hexane11.5811.480.500.9012.0812.3887.9287.62
Ethanol + Hexane18.0216.800.331.0418.3517.8581.6582.15
G. falcatum
Distilled water13.5613.620.140.5713.7014.1886.3085.82
Ethanol14.0414.280.150.1114.1814.3985.8285.61
Hexane11.8411.930.170.1612.0012.0988.0087.91
Ethanol + Hexane12.9113.850.410.5013.3214.3586.6885.65
M. avenis
Distilled water14.4016.150.290.2514.6916.4085.3183.60
Ethanol15.4116.730.470.0615.8816.7984.1283.21
Hexane11.0411.870.570.1111.6111.9888.3988.02
Ethanol + Hexane15.9915.860.380.8116.3616.6683.6483.34
M. sundaicus
Distilled water14.2916.450.830.4215.1316.8784.8783.13
Ethanol15.0115.590.750.1915.7615.7884.2484.22
Hexane12.3212.810.770.1413.0912.9586.9187.05
Ethanol + Hexane14.2817.081.170.7315.4517.8184.5582.19

Table 3. Volatile matter content in shrubs following physicochemical treatment.

Shrub SpeciesSolventChemical Extraction at 25 Â°CChemical Extraction at 50 Â°C
VM (%)SDVM (%)SD
L. speciosa Distilled water81.010.2980.420.44
Ethanol79.060.0779.030.63
Hexane78.870.1878.840.19
Ethanol + Hexane79.200.1479.200.41
G. falcatum Distilled water81.490.4579.340.32
Ethanol78.290.2178.320.11
Hexane78.200.3478.080.17
Ethanol + Hexane78.440.2178.520.32
M. avenis Distilled water85.610.3183.850.25
Ethanol83.180.1983.300.23
Hexane82.070.1382.000.19
Ethanol + Hexane83.300.2083.520.40
M. sundaicus Distilled water81.690.4180.210.24
Ethanol79.590.2579.660.09
Hexane78.950.2279.100.60
Ethanol + Hexane79.490.1579.640.14

Table 4. Calorific value of shrubs following physicochemical treatment.

Shrub SpeciesSolventGross Calorific Value (kcal/kg)
Chemical Extraction at 25 Â°CChemical Extraction at 50 Â°C
L. speciosa Distilled water43494342
Ethanol43634298
Hexane43664356
Ethanol + Hexane43864373
G. falcatum Distilled water43304386
Ethanol42774331
Hexane43094338
Ethanol + Hexane43294380
M. avenis Distilled water44044328
Ethanol43724366
Hexane44164397
Ethanol + Hexane44204337
M. sundaicus Distilled water42604280
Ethanol42074233
Hexane43004220
Ethanol + Hexane42624269
41666536-0f36-401c-923a-374bb59f408a_figure2.gif

Figure 2. Moisture content of shrubs before (raw) and after physicochemical treatment under various chemical extraction solvents and temperature conditions.

41666536-0f36-401c-923a-374bb59f408a_figure3.gif

Figure 3. Weight loss (WL) of shrub after chemical extraction under different solvent and temperature conditions.

41666536-0f36-401c-923a-374bb59f408a_figure4.gif

Figure 4. Weight loss (WL) following the torrefaction of chemically extracted shrubs under different solvents and temperature conditions.

41666536-0f36-401c-923a-374bb59f408a_figure5.gif

Figure 5. Total weight loss (WL) of shrubs following the physicochemical treatment.

41666536-0f36-401c-923a-374bb59f408a_figure6.gif

Figure 6. Total yield of shrubs following the physicochemical treatment.

41666536-0f36-401c-923a-374bb59f408a_figure7.gif

Figure 7. Volatile matter content of shrubs following the physicochemical treatment.

41666536-0f36-401c-923a-374bb59f408a_figure8.gif

Figure 8. Gross calorific value of shrubs following the physicochemical treatment.

Data calculation and aggregation

Mass-based indicators were computed from recorded sample masses before extraction, after extraction, and after torrefaction. In keeping with standard mass-balance relationships reflected in the dataset structure.

WLafter chemical extraction(%)=m0−m1m0x100
WLafter torrefaction(%)=m1−m2m1x100
TotalWL(%)=m0−m2m0x100
Yield(%)=100−TotalWL

where m0 is the oven-dry mass before extraction, m1 the mass after extraction/drying, and m2 the mass after torrefaction. The manuscript presents means with standard deviations for MC and VM, and tabulates WL and yield per condition, enabling direct cross-checks.

Dataset validation

It was noted several scope limitations, including: (i) extraction conditions were restricted to two temperatures and relatively short durations, which may not reflect broader operational envelopes; (ii) although VM was reduced for the most shrub species, values remain relatively high and do not yet meet SNI 8675:2018 quality thresholds for M. avenis; (iii) for each species–solvent–temperature combination, the extraction was performed once on a single sample (no technical or biological replicates). This lack of replication limits statistical power, precludes robust uncertainty quantification beyond the reported descriptive values, and warrants caution when generalizing treatment effects; and (iv) experiments were conducted under controlled laboratory settings, so scale-up and field variability were not represented. Additionally, the torrefaction step was fixed at a single set-point (200 Â°C, 10 min), and solvent removal was verified pragmatically by odor rather than by residual-solvent analytics. These choices simplify the protocol but leave limited room to quantify instrument-level uncertainty or solvent residues. Users should consider these constraints when extrapolating the dataset to industrial contexts.

For secondary analyses or replication, users should preserve the documented particle size, solid–liquid ratio, solvent sequence and durations (for ethanol + hexane), temperature controls, and the drying/torrefaction set-points to maintain comparability with the published tables and figures. Deviations in any of these parameters will directly affect WL, Yield, VM, and calorific value outcomes. The DOI-hosted files provide the necessary inputs to re-calculate all derived metrics and to propagate uncertainty using the reported SDs.

Ethical considerations

This study did not involve human participants, animals, or data sourced from social media. The authors affirm adherence to the publisher’s ethical requirements for F1000Research, and, given the absence of human or animal subjects, no institutional review board (IRB) or animal care and use committee (IACUC) approval was required.

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Pangestu KTP, Yunianti AD, Baharuddin B et al. Physicochemical Pretreatment on Lesser-Known Shrub Biomass for Bio-Pellet Production [version 1; peer review: awaiting peer review]. F1000Research 2026, 15:539 (https://doi.org/10.12688/f1000research.178358.1)
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Alongside their report, reviewers assign a status to the article:
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