Introduction
Presently, inefficiencies in the food system from farm to fork generates approximately 1.3 billion tonnes per year of food waste (both avoidable and unavoidable) (Matharu et al.
2016a). Food waste accounts for almost $1 trillion in economic loss, notwithstanding negative environmental and social impacts (FAO
2014). Our current food supply chain is often linear, where considerable resources are lost (Ronzon et al.
2017). As such, food waste has become a global, highly topical, and modern-day dilemma because of its adverse economic, environmental and social impacts. A change from linear- to circular-thinking is required, where the resources are retained rather than lost.
Unavoidable food supply chain wastes generated because of primary and secondary processing are recognized as a potential, abundant and natural source of biobased chemicals, materials and bioenergy. For example, in 2018, the global production of cassava (
Manihot esculenta Crantz) amounted to 277 million tonnes (fresh root equivalent), with Nigeria, Thailand and Indonesia being the top three producers (FAO
2018). The main product from the cassava industry, e.g., tapioca flour, generates cassava peel as an unavoidable food waste, which represents approximately between 15 and 20% of the tuber (Pandey et al.
2000; Obadina et al.
2006). Whilst, global almond crops contribute to the production of 1.4 million tonnes of biomass per year which include shells, hulls, pruning wastes, leaves, skins, and inedible kernels (Holtman et al.
2015). During the processing of almonds, the kernel, shell and hull account for 15%, 33% and 52%, respectively, of the waste (Ferrandez-Villena et al.
2019). Both by-products, cassava peel and almond hull, are unavoidable and have the potential to be renewable materials for nanocellulose production.
The hierarchical defibrillation process of a bundle of cellulosic fibers using top–down destruction enables the production of micro- and nano-cellulose (Salas et al.
2014). A wide variety of methods, including chemical treatment (e.g., alkaline-acid treatment, 2,2,6,6-tetramethylpiperidine-1-oxyl radical (TEMPO) oxidation, delignification, maceration and fractionation), enzymatic treatment (e.g.,
Acetobacter xylinum, and
Trichoderma reesei) and physical treatments (high-pressure homogenization, steam explosion microfluidization, grinding, cryocrushing, microwave and ultrasound) allow for nanofibrillated cellulose (NFC) or microfibrillated cellulose (MFC) isolation from the non-cellulosic materials (Abdul Khalil et al.
2014; Nasir et al.
2017; Kabakcı and Hacıbektaşoğlu
2017; Ilyas et al.
2019; Syafri et al.
2019).
We recently reported an acid-free (and enzymatic-free) hydrothermal microwave-assisted method to produce mesoporous (nano)cellulose fibrils and crystals from biomass coined the Hy-MASS concept (De Melo et al.
2017; Matharu et al.
2018). Microwave-assisted hydrothermal treatment (MHT) offers several advantages over conventional heating, such as rapid and selective heating, internal heating from within substances, shorter reaction time, and controllable processes (Sonobe
2011).
This technology offers many improvements to the conventional procedures for nanocellulose production reported to date. Unlike traditional production of nanofibers, which typically requires use of harsh chemicals, the valorization of a feedstock via acid-free MHT (water alone) is a state-of-the-art concept for defibrillated lignocellulose production akin to micro-fibrils, nanofibrils, and nanocrystals. The production of microfibrillated lignocellulose materials can lead to a variety of applications, such as, chemical adsorption, manufacturing of cardboard packaging and composites, films and adhesives (Ewulonu et al.
2019; Oliaei et al.
2021). Although these nanofibers can still contain lignin and/or hemicellulose depending on hydrolysis temperature applied, they show outstanding features, such as low viscosity, good dispersability and excellent polymer matrix affinity (Jang et al.
2020; Oliaei et al.
2020).
The disintegration of cellulosic materials with a high lignin content via physical processes may slow down the fibrillation rate (Ämmälä et al.
2019). Additional pretreatment, for example, solvent extraction, could be performed to improve the hydrolysis of the fibers in microwave treatment, particularly at low or medium temperatures. The pretreatment process may impact the network of fibers and enable more access to hydroxyl hydrogen bonding (Lewandowska-Łańcucka et al.
2018) as non-cellulosic compounds from the biomass have already been extracted. Solvent pretreatment, such as hot heptane extraction, removes non-polar and/or weakly polar compounds such as waxes or lipids. In contrast, hot ethanol extraction is used to dissolve polar compounds such as water, sugars, phenols, and tannins (Thakur and Arya
2014).
Thus, the aim of this work is to investigate the production of MFLC from cassava peel (CP) and almond hull (AH) via microwave-assisted hydrothermal treatment (MHT) (quantity, quality and hydrolysate composition), and analyze how and to what extent the inclusion of a solvent extraction pretreatment with ethanol (ET) or heptane (HP) affects the process. The MFLC produced will be investigated for its potential to form hydrogels and films as they can be used in a plethora of applications, such as packaging and personal care products (Syafri et al.
2019).
Experimental section
Materials
Fresh cassava tubers were purchased from Kirkgate Market, Leeds, England. The tubers were peeled, and the white inner layer was chopped into small pieces using a knife mill, dried, ground (using a coffee grinder) into a fine powder and stored until further required. Almond hulls were harvested and collected from ‘Marcona Almonds’ producer farms in Zaragoza, Spain. The hulls were sprayed with ethanol (96 vol%) to prevent mold growth during storage. The dried hulls were chopped with a knife mill, milled into a fine powder and stored until further required. The cellulose, hemicellulose and lignin content of neat CP and AH was determined by the classical titration method (Hu et al.
2014) and is given in the Supporting Information. All chemicals and solvents were purchased from Sigma Aldrich or VWR Chemical and used without further purification.
Biomass pretreatment
The appropriate solvent [100 mL, either ethanol (96%) or heptane (99%)] was added to either CP or AH powder (20 g) contained in a round-bottomed flask equipped with a reflux condenser. The slurry was heated under reflux for 2 h. Thereafter, the mixture was cooled and filtered. The residues were isolated and dried for analysis and further experimentation. The abbreviation ‘ET’ refers to samples pretreated with ethanol, while ‘HP’ refers to samples pretreated with heptane.
MFLC production
Acid-free microwave-assisted hydrolysis was performed on CP and AH from three different samples: residue without pretreatment, ethanol extracted residue (ET) and heptane extracted residue (HP). All samples were processed in a CEM Mars 6 microwave system EasyPrep Plus® closed vessels (CEM Corp, North Carolina, United States) with a maximum energy of 600 W and ramp time of 20 min. The process was conducted at different temperatures (120, 170 and 220 °C) with 0 min hold time and a 5% (w/v) loading (calculated as biomass/deionized-water ratio, using 2 g of biomass and 40 mL of deionized water). After the microwave reaction, the slurry was filtered, and the residue washed with water, hot ethanol (2×) and acetone. Thereafter, the residue was dried (40 °C) for 72 h or until a constant weight was achieved. The filtered solution of all samples was analyzed by HPLC. The yield (%) of dry MFLC was calculated according to Eq.
1. All experiments were run in triplicate.
$${\text{Yield}}\;(\% ) = \frac{{{\text{Weight}}\;{\text{sample}}\;{\text{after}}\;{\text{hydrolysis}}\;({\text{g}})}}{{{\text{Weight}}\;{\text{sample}}\;{\text{before}}\;{\text{hydrolysis}}\;({\text{g}})}} \times 100$$
(1)
MFLC hydrogels were produced at different concentrations [2–7% (w/v)], by adding deionized water to the MFLC hydrolyzed at 120 °C in a 7 mL vial. The mixture was homogenized using a Ystral Homogenizer D-79282 Dottingen X10/20 E3 (Ystral, Ballrechten-Dottingen, Germany) for 5 min at 20,000 rpm. Next, the gel was allowed to cool to ambient temperature. The gel formation was evaluated qualitatively by means of an inversion test.
MFLC-based films
MFLC-based films were produced at a concentration of 0.2% (w/v) in deionized water. The mixture was homogenized using a Ystral Homogenizer D-79282 Dottingen X10/20 E3 for 5 min at around 20,000 rpm and sonicated for 10 min to spread homogeneously. Afterwards, the suspensions were poured into a sintered glass filter (40 mm diameter, pore size three) covered with a polytetrafluoroethylene (PTFE) membrane filter whilst under vacuum suction. The wet MFLC films were dried at around 40 °C and stored in Petri dishes. The morphology and cross-section of the films were analyzed by SEM.
Instrumental analysis
The MFLC samples were analyzed by ATR-IR, TGA, XRD,
13C CPMAS NMR, SEM, Zeta potential, CHN, TEM, and SEM. The theoretical higher heating value (HHV) was calculated from the CHN data using a modified Channiwala’s formula (Remón et al.
2018). Multiplication of %N by 6.25 (plant protein factor) affords the crude protein content (Mariotti et al.
2008). The X-ray diffraction (XRD) patterns were analyzed with an X-ray diffractometer (Bruker Powder XRD) to describe the value of the crystallinity index (CI) based on Segal’s method (Park et al.
2010). The hydrolysates produced at different temperatures were analyzed by HPLC and the method is given in the Supporting Information.
Statistical analysis of the results
The experiments were conducted in triplicate. The influence of the processing temperature, feedstock and pretreatment has been analyzed using a one-way analysis of variance (one-way ANOVA) with 95% confidence. When the ANOVA analysis detected significant differences, a posthoc analysis utilizing the multiple ranges Fisher’s least significant difference (Fisher’s LSD) test was carried out to determine differences between pairs of data, i.e., either to analyze the effect of the microwave processing temperature, pretreatment method or feedstock nature. The LSD test results are presented by connection letters. Significant differences (with 95% confidence) between any pair of data can be ensured when letters are different.
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