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Article

Effect of Liquid Hot Water Pretreatment on Hydrolysates Composition and Methane Yield of Rice Processing Residue

by
Lisbet Mailin López González
1 and
Monika Heiermann
2,*
1
Centro de Estudios de Energía y Procesos Industriales (CEEPI), Universidad de Sancti Spíritus “José Martí Pérez” (UNISS), Avenida de los Mártires 360, Sancti Spíritus CP 60100, Cuba
2
Leibniz Institute for Agricultural Engineering and Bioeconomy, Department Technology Assessment and Substance Cycles, Max-Eyth-Allee 100, 14469 Potsdam, Germany
*
Author to whom correspondence should be addressed.
Energies 2021, 14(11), 3254; https://doi.org/10.3390/en14113254
Submission received: 26 April 2021 / Revised: 29 May 2021 / Accepted: 30 May 2021 / Published: 2 June 2021
(This article belongs to the Special Issue Residual Biomass Conversion to Bioenergy)

Abstract

:
Lignocellulosic rice processing residue was pretreated in liquid hot water (LHW) at three different temperatures (140, 160, and 180 °C) and two pretreatment times (10 and 20 min) in order to assess its effects on hydrolysates composition, matrix structural changes and methane yield. The concentrations of acetic acid, 5-hydroxymethylfurfural and furfural increased with pretreatment severity (log Ro). The maximum methane yield (276 L kg−1 VS) was achieved under pretreatment conditions of 180 °C for 20 min, with a 63% increase compared to untreated biomass. Structural changes resulted in a slight removal of silica on the upper portion of rice husks, visible predominantly at maximum severity. However, the outer epidermis was kept well organized. The results indicate, at severities 2.48 ≤ log Ro ≤ 3.66, a significant potential for the use of LHW to improve methane production from rice processing residue.

1. Introduction

Rice cultivation is carried out in 113 countries and constitutes the staple food for more than half of the world’s population. Among the world’s leading producers are China, India, Indonesia, Bangladesh, Vietnam, Thailand, Myanmar, Philippines, Brazil and Japan, with 439.9 million tonnes of millet-equivalent rice [1]. This is considered the third agricultural crop of global importance in terms of total cultivated area and production. According to the FAO, it is estimated that world rice production will be 760 million tons of paddy rice by 2025, which would generate approximately 1140 million tons of crop residues [1].
Several kinds of residual biomass are produced during harvesting and processing rice: rice straw (RS), rice husk (RH), rice dust and rice residue generated under dry conditions (RD). RS, comprising leaves and stems, is a by-product accruing when harvesting paddy. It is separated from the grains after the plants are threshed either manually or by using combine harvesters [2]. RH is the outermost hard protective covering of rice grains (rough rice or paddy), formed by hard lignocellulosic materials along with appreciable amounts of silica. These so-called hulls are separated from the grains during the milling process [2]. RD is a residual biomass obtained from the drying process and is composed of RH, RS and in smaller proportions of broken rice grains. In Cuba, per each tonne of paddy rice, 40 kg of RD are generated [3]. Inappropriate management and the deficiency in adequate treatment of these residues, such as open burning, cause environmental pollution and wastes untapped resources [4]. Thus, the increasing demand for energy and fuel is encouraging research regarding the use of locally available residual biomass feedstock as a sustainable source of energy in Cuba.
The conversion of RD to methane as a renewable energy carrier by anaerobic digestion can alleviate, to a certain extent, both energy and environmental problems [5]. A previous work on biogas production from RD determined a methane yield of 0.168 m3 kg−1 VS under mesophilic conditions, with a 0.46 conversion efficiency [6]. Within this study, the hydrolysis of RD was considered the key-rate limiting step due to its complex lignocellulosic structure (34.3% crude fibre and 10.4% lignin), which is resistant to enzymatic action. A pretreatment to enhance hydrolysis is therefore essential to improve the biodegradability of RD.
Currently, various pretreatment technologies, including physical, chemical, physico-chemical, and biological approaches, have been introduced to lignocellulosic feedstocks prior to conversion [7]. Depending on the chosen pretreatment, a few disadvantages are associated with the additional process step: high energy demand, chemical or/and water requirements, formation of inhibitory compounds, need for a post-treatment step to recover solvents, neutralization of the pretreated biomass prior to anaerobic digestion and extra treatment times [8].
However, LHW pretreatment, also known as hydrothermal pretreatment (HP), offers several advantages: no need for particle size reduction or the dispensation of adding chemicals and, hence, no necessity for anti-corrosion reactors, meaning self-sufficiency in terms of thermal requirements (using heat from the CHP), and by working at high temperatures, pathogens are eliminated [9].
During the LHW step, lignocellulosic biomass is exposed to high temperature (120–230 °C) under subcritical conditions [10], with pretreatment times between 2 min and 6 h [11,12]. This setting is efficient in penetrating the biomass, which causes the hydrolysis of hemicellulose into soluble oligosaccharides. The reaction is catalysed by hydronium ions formed by the autoionization of water, as well as acetic acid produced from O-acetyl groups [13].
Although LHW pretreatment shows numerous advantages in terms of organic substrates digestibility, a high-temperature pretreatment or extended thermal pretreatment can produce inhibitory compounds such as furfural and 5-hydroxymethylfurfural (HMF) [9]. In addition, subjecting sugars and amino acids containing compounds to high temperature in an aqueous medium leads to the formation of recalcitrant compounds known as melanoidines [14]. This may or may not affect the biodegradability of the substrate according to the balance obtained when considering the benefits of the complex biomass structure destruction [15]. Consequently, the temperature and time required for thermal pretreatment should be carefully determined depending on the substrates’ characteristics.
LHW pretreatment has been successfully applied to hydrolyse biomass, in order to increase biogas production [12,16,17,18,19]. Antwi, et al. [16] varied the temperature and reaction times between 150 and 220 °C, and 5 and 15 min, respectively. It was found that a low-severity (log Ro < 3.0) HP of cocoa pods residues improved the biogas yield. This is primarily due to an increased hydrolysis of the hemicellulose fraction. However, higher severity resulted in lower biogas yield. The optimum biogas yield (526 L kg−1 VS) was obtained at 150 °C for 15 min, which corresponds to a severity of 2.65. Ziemiński, et al. [17] investigated the pretreatment of sugar beet pulp carried out at temperatures ranging from 120 to 200 °C in a 600 mL thermostatic reactor for 20 min. The highest cumulative methane yield observed was 503 L kg−1 VS from a 160 °C pretreated pulp.
In a preliminary work, Budde, et al. [19] studied the thermobarical pretreatment (140–220 °C, 5 min) of solid cattle manure in a 600 mL thermostatic reactor. Subsequent anaerobic digestion revealed a 57% increase in cumulative methane yield for a pretreatment carried out at 160 °C, whereas at 220 °C, the abundance of inhibitors and other nondigestible substances led to lower methane yields than those observed from untreated material. Using the same reactor device, López González, et al. [12] obtained a similar increase in cumulative methane yield at 150 °C for 20 min (63%) and 175 °C for 2 min (53%) during the LHW pretreatment of sugarcane press mud. A reduction of 9% in methane yield was reported under conditions of 200 °C for 20 min.
In general, pretreatment temperatures ranging from 150 to 180 °C, with times between 5 and 30 min, were most effective for by-products such as cocoa pods residues, fruit and vegetable waste, municipal sewage, sugar beet pulp, liquid cattle manure, solid cattle manure and sugar cane press mud. More severe conditions (190 °C for 30 min) were needed to reach a high conversion efficiency from pretreated poultry slaughterhouse waste [20]. Thus, recent studies have indicated that the effectiveness of LHW pretreatment varies considerably depending on the chemical compositions and structural properties of the different biomass materials, as well as on the experimental conditions applied (heating time, temperature, pretreatment time and reactor type).
However, to the best of our knowledge, this is the first study which focuses on the impact of LHW pretreatment on RD’s biodegradability. There are only a few results available that address exclusively single components such as straw or husks. The amenability of the lignocellulosic and silicified structure of available Cuban RD to LHW pretreatment with regard to methane production remains unclear. Therefore, there is a need of knowledge which could assist in determining the optimal treatment conditions for causing maximum hydrolysis while avoiding inhibitory compounds to increase conversion efficiency.
The objective of this study was (i) to evaluate the influence of the time and temperature of LHW treatment on the hydrolysates composition, matrix structural changes and methane yield (ii) to promote the pretreatment characteristics and biomethanisation performance of RD for tapping locally available residual biomass for renewable energy carrier production. Based on this objective, RD was pretreated in LHW at three different temperatures (140, 160 and 180 °C) and two pretreatment times (10 and 20 min) in order to assess its effects on hydrolysates composition (volatile fatty acids, HMF and furfural), as well as matrix structural changes (SEM images) and methane yield.

2. Materials and Methods

2.1. Substrate

The RD was obtained from rice harvested in mid-summer of 2018 at the Cuban Rice Company ‘Sur del Jíbaro’ in Sancti Spíritus, Cuba (Figure 1). Subsequently, it was air-transported to Germany in sealed plastic bags and stored at room temperature until use.

2.2. Analytical Methods

Total solids (TS) and volatile solids (VS) contents were measured by oven drying at 105 °C and ashing the dried sample at 550 °C according to standard procedures [21].
To determine the pH value of solid sample, 10 g of rice processing residue was homogenized with 100 mL of distilled water. Pretreated samples from the liquid fraction were directly analysed by applying the measuring electrode Sen Tix 41 (WTW, Weilheim, Germany). Elemental analysis (C, H, N and S) was quantified using an elemental analyser (vario EL, Elementar Analysensysteme GmbH, Hanau, Germany), applying the DUMAS combustion method [21]. Elemental oxygen content was calculated by subtracting the measured weight percentages of C, H, N and S from the dry matter. Crude protein was calculated as 6.25 times the elemental nitrogen content.
The neutral detergent fibre (NDF), acid detergent fibre (ADF) and acid detergent lignin (ADL) were determined according to Van Soest, et al. [22] using the Ankom2000 Fibre Analyser system and filter bag technology (Ankom Technology Corp., Macedon, NY, USA). Hemicellulose and cellulose contents were calculated as the difference between NDF and ADF, and ADF and ADL, respectively. Structural changes were determined using scanning electron microscopy (SEM) according to Kaplonek and Nadolny [23]. Natural specimens were visualized with the desktop microscope Phenom Pro-X (Phenom-World, Netherlands) on a charge reduction holder operated with a beam voltage of 5 kV. Therefore, dry solid specimens were mounted on aluminium stubs using a conductive, double-sided tape. The provided software Phenom™ Pro Suite was applied for image acquisition, processing and analysis.
The liquid fraction was used to determine volatile fatty acids (VFA) and degradation products (HMF and furfural). Analyses of VFA (acetic, propionic, iso-butyric, butyric, iso-valeric, valeric and caproic acids) were conducted using a gas chromatograph (Agilent Technologies Inc., Santa Clara, CA, USA) equipped with a PERMABOND_ FFAP capillary column (30 m × 0.32 mm, film thickness of 0.5 µm, Machery-Nagel GmbH & Co KG, Düren, Germany) and a flame ionisation detector. The detector temperature was set at 220 °C. For split injection (1 µL, split 1:20) at 200 °C, the sample was homogeneously mixed with nitrogen (flow rate of 50 mL·min−1) as the carrier gas by using a 4 mm glass liner with silanized glass wool. The following oven temperature program was applied: initial temperature of 80 °C (hold time 0 min); heating rate of 15 °C min−1 to 210 °C, hold for 1 min. The measurement procedure was calibrated by external standards. For this purpose, 4 standard solutions of different concentrations (ranges: acetic acid 0.5 to 8.0 g·L−1; propionic acid 0.2 to 6.4 g·L−1; butyric 0.25 to 2.0 g·L−1; iso-butyric, iso-valeric, valeric and caproic acid 0.1 to 0.8 g·L−1) were prepared for each analyte and injected into the GC. The analyte-specific factor was determined from the peak area with the software via start and stop time, as well as maximum height. Furfural and HMF were measured using a Dionex ICS 3000 (Thermo Fisher Scientific Inc., Bartlesville, OK, USA) equipped with a Eurospher C18 column (150 × 4 mm, pore size of 100 Å, endcapped, including pre-column, Knauer GmbH & Co KG, Auerbach, Germany) and a Dionex Series VWD UV/VIS-detector at 280 nm (Thermo Fisher Scientific Inc., Bartlesville, OK, USA). Ultrapure water (A) and a degassed 1:1 volumetric mixture of ultrapure water and acetonitrile (B) were used in a multistep gradient. The flow rate was maintained at 1 mL min−1. The autosampler temperature was 15 °C; the column and detector temperature were 23 °C. Evaluation of the resulting chromatograms was performed with Chromeleon software (Thermo Fisher Scientific Inc., Bartlesville, OK, USA). The calibration of the measurement method was carried out via an external standard and calibration function, as described in Wirth, et al. [24].

2.3. Pretreatment Conditions

RD pretreatment assays were conducted in a 600 mL Mini Reactor System, Model number 4568 (Parr Instruments, Moline, IL, USA) [19]. A 50 g RD sample was mixed with 350 g of deionized water, with a liquid-to-solid ratio of 7.5, and was heated at several temperatures (140, 160 and 180 °C), under constant stirring (380 rpm), and for different reaction times (10 and 20 min) with a heating rate of 6.5 °C min−1. The pressure values employed were equivalent to the temperature-specific saturated water vapour pressure. Experiments were performed in triplicate.
After pretreatment time completion, the heater was removed and the reactor was cooled down to less than 50 °C by immersion into water at room temperature. The pretreated RD sample was taken out of the reactor and stored in sealed containers at 4 °C. A subsample was used to separate the liquid and solid fractions by centrifugation at 6000 rpm for 15 min. The liquid fraction (supernatant) was stored at −20 °C for subsequent analysis.
The severity factor Ro was determined for each experimental variant. This parameter quantifies the hydrothermal pretreatment-combined effect of time and temperature on the matrix, and it is defined by Equation (1).
Ro = t · e T r T b 14.75
t is the pretreatment time in min, Tb is the base temperature (100 °C), Tr is the pretreatment temperature in °C, and 14.75 is the conventional energy of the activation factor assuming a hydrolytic overall reaction, and the overall conversion is of first-order kinetics [25].

2.4. Anaerobic Digestion

2.4.1. Biochemical Methane Potential (BMP) Test

The BMP of untreated and pretreated RD was determined at 37.5 °C for 30 days, according to VDI 4630 [26]. Batch experiments were carried out in lab-scale 2 L reactors. Once daily, reactors were shaken manually. In order to guarantee the homogeneity of each triplicate of pretreated RD, it was separated into solid and liquid fractions via centrifugation. The liquid and solid fractions were weighed, and their proportions were calculated. Consequently, each reactor was fed with 100 g of pretreated RD. The batches were carried out at substrate/inoculum ratios of 0.5–0.7 (g VS/g VS). The inoculum consisted of digestate of previously completed batch digestion tests with crop materials and was characterized by 2.69% TS and 71.69% VS. Six batch assays and controls, including inoculum (blank reactor), untreated RD (control reactor) and cellulose (reference reactor), were performed in triplicate.
The biogas production volume was measured by liquid displacement (saturated NaCl solution; pH 5). The volume was normalized to standard conditions comprising dry gas, a temperature of 0 °C and a pressure of 1013 hPa [26], and it is reported as the statistical mean for each set of triplicates. The biogas composition (methane, carbon dioxide, oxygen and hydrogen sulphide content) was measured during the batch digestion using a gas analyser BM5000 (Geotechnical Instruments Ltd, Leamington Spa, UK). The methane yield is given in L per kg of fed volatile solids content (L kg−1 VS).
The theoretical methane yield for untreated biomass (ytheo) was calculated using Buswell’s equation [27] modified by O’Rourke [28] (Equation (2)). The reaction associated is represented by Equation (3) [28]. Knowing the experimental methane yield (yexp), the overall efficiency of the anaerobic process (η) can be calculated using Equation (4).
y t h e o = ( 4 a + b 2 c 3 d ) 22400 ( 12 a + b + 16 c + 14 d ) 8
C a H b O c N d + ( a b 4 c 2 + 3 d 4 ) H 2 O ( a 2 b 8 + c 4 + 3 d 8 ) C O 2 + ( a 2 + b 8 c 4 3 d 4 ) C H 4 + d N H 3
η = y e x p y t h e o 100

2.4.2. Kinetic Models

In this study, both the Hill-modified model (Equation (5)) and the modified Gompertz equation (Equation (6)) were used to evaluate the methane production kinetics of the BMP tests.
y ( t ) = y m a x t b c b + t b
y ( t ) = y m a x e x p [ e x p ( R m e y m a x ( λ t ) + 1 ) ]
where y(t) is the cumulative methane yield (L kg−1 VS), ymax is the ultimate methane yield taken as the residence time tends to infinity, λ is the lag time (days), Rm is the maximum methane production rate (L kg−1 VS d−1), t is the time (days), and b and c are equation coefficients. The models implementations, as well as the numeric parameters identification, were performed by a nonlinear regression analysis (Statgraphics Centurion XVI.2, Statpoint Technologies, Inc., Orlean, VA, USA).
One-way ANOVA (analysis of variance) was used to test significant differences in mean values for methane yields from raw material, and from pretreated RD. The statistical means between pretreatment pairs were compared using a test of multiple ranks (Duncan’s test). Data normality and homogeneity of variances were determined using the Kolmogornov–Smirnov and the Fischer tests, respectively. The datasets were analysed using Statgraphics Centurion XVI.2 with a confidence interval of 95%.

3. Results and Discussion

3.1. Substrate Composition

The main characteristics of the RD are presented in Table 1. The substrate depicts a TS value of 93.88% and relatively low VS concentration of 61.28% of TS, owed to the high proportion of silica according to reports found in the literature [29,30].
The RD shows a fibre content of 44.36% with a higher proportion of cellulose and hemicellulose. The elemental composition determined was very similar to the content of C, N and S reported by Contreras, et al. [6]. However, lignin was found in lower quantities than in Contreras, et al. [6], which may be caused by a lower proportion of rice husk in the RD used for the current investigation.

3.2. Effect of LHW Pretreatment on Hydrolysates Composition

The effect of LHW pretreatment on the hydrolysates composition contained in the liquid fraction is summarized in Table 2.
Acetic and propionic acids were the only volatile acids found. Acetic acid was produced up to 11 times more than propionic acid. The presence of acetic acid was raised by increasing the pretreatment severity, with a marked increase when log Ro > 3.07 (Figure 2). Its formation as a function of log Ro fitted well (R2 = 0.98) with a quadratic model (Equation (7)). For log Ro ≤ 3.07, corresponding to temperatures of 140 and 160 °C, the acetic acid concentration went from 0.45 to 0.79 g L−1 (Figure 2). A maximum value of 2.76 g L−1 was determined for log Ro = 3.66 (180 °C for 20 min).
Acetic acid = 0.14 · log Ro 2 0.53 · log Ro + 0.91
A similar performance was observed by López González, et al. [12], who reported acetic acid concentrations of 0.4 g L−1 for log Ro = 2.17 (150 °C for 5 min) and 1.6 g L−1 for log Ro = 2.49 (175 °C for 2 min). Acetic acid (and other organic acids) is the by-product of hemicellulose O-acetyl groups (glucuronide conjugates) hydrolysis [13]. H+ ions from those acids lowered the pH from 6.02 to 4.64 (Table 2 and Figure 2).
Furan compounds (HMF and furfural) were found in the liquid fraction, formed at 160 and 180 °C with a marked increase at 180 °C. The maximum furfural concentration of 149.40 mg L−1 determined (equivalent to 1.26 mg g−1 TS) was greater than that reported by Wang, et al. [18] for pretreated RS at 180 °C for 15 min (0.6 mg g−1 TS). The maximum furfural production (2800 mg L−1) for pretreated RS was demonstrated at higher temperature (200 °C for both 10 and 30 min), corresponding to a complete or nearly complete degradation of xylose and arabinose [31]. In the case of HMF concentrations, a maximum value of 53.47 mg L−1 at log Ro = 3.66 (180 °C for 20 min) was observed (Figure 3). This agrees well with results described by Wu, et al. [30], who found low concentrations of HMF for pretreated RH at log Ro = 3.35 (180 °C, 10 min) and log Ro = 3.65 (190 °C, 10 min).
In another study carried out at several temperatures (90, 150, 180 and 210 °C), HMF was not detected for the pretreated RS [18]. Furfural is obtained by pentose degradation, while HMF is a hexose dehydration product. Therefore, a lower concentration of HMF is expected as cellulose solubilisation and consequent glucose formation are limited [9]. HMF and furfural are toxic and known to be methanogenic inhibitors; thus, they are undesirable products for the following anaerobic digestion process. Their maximum concentration found in this study is below the limits previously reported [32].

3.3. Effect of LHW Pretreatment on Structural Changes

The structural changes of RD’s most abundant component, the RH, were studied by SEM. RH is composed approx. 20% of silicon dioxide nanoparticles. The remaining part is an organic phase, mainly cellulose, hemicellulose and lignin [33].
The SEM images of the outer surface of untreated and pretreated RH are shown in Figure 4. The outer epidermis of RH is organized well and has a corrugated ridged structure (Figure 4a–c). It appears to be highly undulated due to the presence of regularly spaced protrusions which contain high concentrations of silica, as previously reported [29,33]. The outer surface also contains papillae and hairs.
SEM images reveal that the surface structure of the RH did not change significantly via pretreatment (Figure 4d–l). At 140 and 160 °C, some materials were melted and resolidified on the surface. However, when the temperature was increased to 180 °C, these materials must have been transferred into the liquid phase as the surface is cleanly visible after the LHW pretreatment. The domes containing silica were broken at the maximum severity (180 °C for 20 min) and the RH was softer and flexible to the touch.
Previous studies described much lower values of silica in the regions where the domes were broken [29]. According to Fijalkowski, et al. [33], amorphous silica nanoparticles form layers on the surface of the RH, acting as a physical barrier against enzyme attack. Ang, et al. [34] assessed the impact of various pretreatment reagents (NaOH, Ca(OH)2, H2SO4, HCl, H3PO4, CH3COOH and HNO3) on the structural changes of RH. The comprehensive structural characterization studies that involved Fourier transform infrared spectroscopy (FT-IR), SEM and Brunauer–Emmett–Teller (BET) surface area determination showed that the pretreated RH consisted mainly of cellulose and lignin. Compared to untreated RH, pretreated RH possessed an increased pore size and pore volume, which are expected to be beneficial for fungal growth during fermentation.
The potential application of three ionic liquids in the pretreatment of rice husk was studied via structural analyses [35]. The dissolution of RH conducted with 1-ethyl-3-methylimidazolium acetate at 100 °C for 20 h caused the most severe swelling on the surface structure, and this pretreatment also resulted in the highest amount of regenerated cellulose.
The untreated RH was intact and showed a smooth surface, while the surface of RH residues appeared to be uneven and cracked. In another study, Ullah, et al. [36] pretreated RH waste using ultrasonic-assisted ionic liquids technology. The untreated RH sample was found to be smooth and regular in shape, while swelling and porosity developed in the structure of the treated sample. It is expected that by removing some of the silica during bioconversion, the RH will be more accessible to digestive enzymes or microorganisms. Further studies on the role of silica and the effect of its removal are required.

3.4. Effect of LHW Pretreatment on Methane Yield

Figure 5 reveals the effect of pretreatment on the cumulative methane yield produced from RD. The untreated RD showed a cumulative methane yield of 164 L kg−1 VS, which is comparable to that reported by Contreras, et al. [6].
Most of the LHW pretreatment conditions applied at RD increased the methane yield with significant differences compared with the untreated RD, ranging from 185 to 276 L kg−1 VS. Only the variant with the lowest pretreatment severity (log Ro = 2.48), corresponding to a temperature of 140 °C for 10 min (Table 3), displayed no methane yield increase. The methane concentration determined was similar for untreated and pretreated RD (49–51%).
Higher severity resulted in a higher methane yield. The maximum yield was attained at 180 °C and 20 min, with a 63% increase compared to the untreated RD. During LHW pretreatment, most of hemicellulose is solubilized, while only a fraction of lignin is extracted and redeposited later [37]. As a result, the cellulose accessible surface area is enlarged and available for enzymatic attack [38].
Based on the analysed RD composition ( C 3.48 H 5.26 O 2.58 N 0.17 S 0.01 ), a theoretical methane yield of 415 L CH4 kg−1 VS was calculated. Only 40% of this potential was achieved for untreated RD, which is in the range of 30–60% for high particulate organic matter [37]. For the best RD pretreatment condition (180 °C for 20 min), a theoretical methane yield of 63% was obtained, clearly demonstrating the positive effect of the pretreatment.
Similarly, Rajput, et al. [38] tested the LHW pretreatment of wheat straw at temperatures of 120, 140, 160 and 180 °C, each held for 60 min. The best biomass biomethanation was reached at 180 °C (log Ro = 4.14), showing a 53% increase in comparison with untreated matter. In a recent work, Shang, et al. [39] found that a maximum methane yield (202 L kg−1 VS) was achieved after LHW pretreatment at 175 °C for 30 min (log Ro = 3.69), resulting in a 62.9% increase compared to untreated wheat straw. Lower severities (1.88 < log Ro < 2.47) with temperatures between 140 and 160 °C were sufficient to obtain similar increases in methane yield from sugar cane press mud [12] and solid cattle manure [19].
The effect of LHW pretreatment on the anaerobic digestion of RD has not yet been reported. Hydrothermally pretreated RS at 90 and 180 °C for 15 min slightly increased (3%) the biogas yield in comparison with untreated RS [18]. The authors explained that these results were due to the acidification produced via the pretreatment during the batch test. However, according to values reported, acidification could have been caused by the high substrate/inoculum ratio used in the batch test: 35 g of TS L−1 (85 VS %TS) and 15 g of TS L−1 (52.2 VS %TS) for RS and inoculum loading, respectively. Higher methane yield increments for pretreated RS were obtained by Luo, et al. [40] and He, et al. [41]. Luo, et al. [40] examined the HP of RS at different temperatures ranging from 90 to 130 °C for 150 min. Both 100 and 130 °C pretreatments presented similar methane yields of 128 and 125 L kg−1 VS, respectively, which, in turn, were 23% and 20% higher than those of untreated RS, respectively. He, et al. [41] observed a similar increase (23%) during the LHW pretreatment of RS at a higher temperature and shorter time (150 °C for 20 min).
LHW pretreatment at different temperatures (170–230 °C) for 10 min resulted in a 7–31% increase in cumulative methane yield from giant reed grass [42]. Similar results were also reported by Di Girolamo, et al. [43], in which the methane yield from giant reed grass was increased by 23% after LHW pretreatment at 180 °C for 10 min.
Even for the same type of biomass, the effectiveness of the pretreatment varied depending on different factors such as the chemical composition (cellulose, hemicellulose and lignin), type of reactor (batch and countercurrent) and pretreatment parameters (temperature, time, liquid-to-solid ratio, as well as heating and cooling time).
Regarding the reaction kinetics, Rm values ranged from 17.00 to 22.27 L kg−1 VS d−1 (Table 3). The maximum values found at severities of 3.36 and 3.66 (180 °C, for 10 and 20 min, respectively) are related to the hydrolysis and solubilisation increase due the catalytic effect of the hydronium ions generated by acetic acid. A maximum Rm of 49.2 L kg−1 VS d−1 for pretreated wheat straw at a severity of 3.69 was reported by Shang, et al. [39]: as the severity was further increased, Rm decreased.
The value of λ (lag time in days) reflected the speed of the start-up stage in the anaerobic digestion process and the degree of inhibition at the initial stage. The short lag time (λ < 1 day) obtained for most of the conditions studied indicated the presence of a fast anaerobic digestion process, which is attributed to the large amount and quality of the inoculum added, well adapted to herbaceous biomass due to numerous previous batch tests, as well as the absence of inhibitors. At 180 °C for 20 min, λ was increased to 1.32 days, possibly due to the high concentration of acids (Table 2) formed as a result of the pretreatment. The acids accumulation can cause an increase in the delay phase due to an imbalance between microbial groups, which affects the main metabolic route.
Similarly, He, et al. [41] reported a longer lag-phase time (λ = 3.66–3.95 days) for pretreated rice straw at 150 °C (0, 10, 20 and 30 min) in comparison to the untreated sample. A different behaviour was obtained by Rajput, et al. [38] by predicting a shorter lag phase (λ = 3.37 days) for pretreated wheat straw at 180 °C when compared to the variant (λ = 12.69 days). A longer lag time (λ = 4.17–7.20 days) than that of the control (1.63 days) indicated a significant inhibition [39], even when compared with the control under more severe conditions (225 °C for 5, 30 and 60 min) than those applied in the present study. Theoretically, the inoculum activity, substrate/inoculum ratio, amount of readily degradable components in the substrate, inhibitors concentration, and initial pH of the influent have a marked impact on the anaerobic digestion start-up time [44].

4. Conclusions

The effectiveness of LHW pretreatment varies considerably depending on the chemical compositions and structural properties of the different biomass materials. This study provides data to adjust the pretreatment conditions (temperature and pretreatment time) of locally available RD considered as a feedstock for methane production as a renewable energy carrier. The best pretreatment conditions were found at higher severities (log Ro = 3.36 and 3.66), but the highest increase in methane yield (63%) compared to the untreated RD was found at 180 °C for 20 min with 276 L kg−1 VS. Structural changes showed a slight removal of the silica on the upper portion of the RH, mostly visible at maximum severity. Future research should focus on the effect of prolonged pretreatment times (>20 min) at 180 °C for optimal subsequent anaerobic digestion of RD, and the effect of the presence and the removal of silica. Recent research focuses on the recovery of silica as a biomaterial via combustion and chemical reactions [45]. The first results indicate that silica can also be obtained by anaerobic digestion of rice straw [46]. A major advantage of this approach is avoiding the emission of air pollutants and greenhouse gases, as well as the input of chemicals. So far, this promising pathway for the cascading use of biomass has not been explored in depth and needs future research.

Author Contributions

Conceptualization, methodology and validation: L.M.L.G. and M.H.; experiments, data analysis, visualization and writing—original draft: L.M.L.G.; writing—review and editing, L.M.L.G. and M.H. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the German Academic Exchange Service DAAD (grant no. 57378441).

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Not applicable.

Acknowledgments

L.M.L.G. was supported by a scholarship grant “Research Stays for University Academics and Scientists, 2018 provided by the German Academic Exchange Service DAAD (grant no. 57378441). The authors wish to express their appreciation to Vincent Plogsties, Anka Thoma and Jutta Venzke for their excellent technical support and Albert Hernandez-Estrada for introduction to SEM. The publication of this article was funded by the Open Access Fund of the Leibniz Association.

Conflicts of Interest

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

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Figure 1. Photo of rice processing residue obtained in 2018 at the Rice Company ‘Sur del Jíbaro’ in Sancti Spíritus, Cuba. Proportion (in %weight) of the by-products: straw 1%, husk 54%, broken grains 44%.
Figure 1. Photo of rice processing residue obtained in 2018 at the Rice Company ‘Sur del Jíbaro’ in Sancti Spíritus, Cuba. Proportion (in %weight) of the by-products: straw 1%, husk 54%, broken grains 44%.
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Figure 2. Composition of acetic acid (■) and pH (●) according to the pretreatment severity (log Ro).
Figure 2. Composition of acetic acid (■) and pH (●) according to the pretreatment severity (log Ro).
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Figure 3. Concentration of HMF (○) and furfural (□) according to the pretreatment severity (log Ro). Not detected for log Ro = 0.00, log Ro = 2.18 and log Ro = 2.48.
Figure 3. Concentration of HMF (○) and furfural (□) according to the pretreatment severity (log Ro). Not detected for log Ro = 0.00, log Ro = 2.18 and log Ro = 2.48.
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Figure 4. SEM images for untreated (ac) and pretreated RD (140 °C_20 min (df), 160 °C_20 min (gi), 180 °C_20 min (jl)). 3adgj (magnification = 500 and bar = 100 μm), 3behk (magnification = 100 and bar = 80 μm), 3cfil (magnification = 5000 and bar = 10 μm).
Figure 4. SEM images for untreated (ac) and pretreated RD (140 °C_20 min (df), 160 °C_20 min (gi), 180 °C_20 min (jl)). 3adgj (magnification = 500 and bar = 100 μm), 3behk (magnification = 100 and bar = 80 μm), 3cfil (magnification = 5000 and bar = 10 μm).
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Figure 5. Cumulative methane production for untreated and pretreated rice processing residue. Untreated (x), 140 °C_10 min (∆), 140 °C_20 min (▲), 160 °C_10 min (○), 160 °C_20 min (●), 180 °C_10 min (□), 180 °C_20 min (■). Hill model (lines).
Figure 5. Cumulative methane production for untreated and pretreated rice processing residue. Untreated (x), 140 °C_10 min (∆), 140 °C_20 min (▲), 160 °C_10 min (○), 160 °C_20 min (●), 180 °C_10 min (□), 180 °C_20 min (■). Hill model (lines).
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Table 1. Physical and chemical properties of the rice processing residue.
Table 1. Physical and chemical properties of the rice processing residue.
ParametersUnitsAverage Values *
pH 6.07
TS105% FM93.88
VS%TS61.28
Ash%TS38.72
Crude protein%TS7.85
Hemicellulose%TS18.31
Cellulose%TS19.09
Lignin%TS6.97
C%TS34.32
H%TS3.34
N%TS1.26
S%TS0.10
C/N 27.33
* Double determination. Coefficient of variation was under 3% for all parameters.
Table 2. Chemical composition of liquid fraction from pretreated rice processing residue.
Table 2. Chemical composition of liquid fraction from pretreated rice processing residue.
T
(°C)
t
(min)
log RoResidual RD (%)pHAcetic Acid
(g L−1)
Propionic Acid
(g L−1)
HMF
(mg L−1)
Furfural
(mg L−1)
140102.18616.020.450.10n.d.n.d.
140202.48635.880.520.09n.d.n.d.
160102.77595.780.650.1310.535.58
160203.07555.590.790.127.9112.08
180103.36374.991.900.2422.4469.58
180203.66324.642.760.2653.47149.40
n.d. not detected. Double determination. Coefficient of variation was under 3% for all parameters. Residual RD calculated in % from solid fraction of RD pretreated.
Table 3. Experimental and ultimate methane yield, conversion efficiency, maximum methane production rate and lag time for untreated and pretreated rice processing residue.
Table 3. Experimental and ultimate methane yield, conversion efficiency, maximum methane production rate and lag time for untreated and pretreated rice processing residue.
log (Ro)yexp
(L CH4 kg−1VS)
% CH4η (%)ymax
(L CH4 kg−1VS)
Rm
(L CH4 kg−1VS d−1)
λ
(Days)
0.00164 e ± 6.6050.6340169 e ± 6.9918.06 c ± 0.740.52 bc ± 0.01
2.18162 e ± 6.0649.6239171 e ± 5.2317.00 d ± 0.250.47 cd ± 0.05
2.48167 d ± 6.5350.8840185 d ± 4.4918.51 c ± 0.110.29 d ± 0.08
2.77196 c ± 1.6150.2747208 c ± 2.2019.55 bc ± 0.270.46 cd ± 0.04
3.07191 c ± 4.5950.2146203 c ± 5.6918.84 b ± 0.050.41 cd ± 0.05
3.36230 b ± 5.5349.6055240 b ± 5.7422.27 a ± 0.650.71 b ± 0.17
3.66260 a ± 3.7949.1263276 a ± 4.0622.07 a ± 0.741.32 a ± 0.23
a–e Groups with different superscripts differ (p < 0.05). Data expressed as mean ± standard deviation. yexp: Experimental yield, % CH4: Methane content in the biogas, η: overall efficiency of the anaerobic process, ymax: ultimate methane yield, Rm: maximum methane production rate, λ: lag time.
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López González, L.M.; Heiermann, M. Effect of Liquid Hot Water Pretreatment on Hydrolysates Composition and Methane Yield of Rice Processing Residue. Energies 2021, 14, 3254. https://doi.org/10.3390/en14113254

AMA Style

López González LM, Heiermann M. Effect of Liquid Hot Water Pretreatment on Hydrolysates Composition and Methane Yield of Rice Processing Residue. Energies. 2021; 14(11):3254. https://doi.org/10.3390/en14113254

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López González, Lisbet Mailin, and Monika Heiermann. 2021. "Effect of Liquid Hot Water Pretreatment on Hydrolysates Composition and Methane Yield of Rice Processing Residue" Energies 14, no. 11: 3254. https://doi.org/10.3390/en14113254

APA Style

López González, L. M., & Heiermann, M. (2021). Effect of Liquid Hot Water Pretreatment on Hydrolysates Composition and Methane Yield of Rice Processing Residue. Energies, 14(11), 3254. https://doi.org/10.3390/en14113254

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