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Published in: Biomass Conversion and Biorefinery 4/2024

Open Access 18-03-2022 | Original Article

Preliminary evaluation of pressurized hot water extraction for the solubilization of valuable components from hospital kitchen wastes

Authors: Rebeca Esteban-Lustres, Ma Dolores Torres, Antonio Pazos, Cristina Enjamio, Beatriz Piñeiro, Herminia Domínguez

Published in: Biomass Conversion and Biorefinery | Issue 4/2024

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Abstract

An alternative to mitigate the environmental impact of food waste is the separation of valuable components. Due to the difficulty and heterogeneity of such wastes, the study of model systems allowing a regular and predictable production and composition was used. A mixture of pre- and post-consumption kitchen wastes from a hospital with an automated organic matter segregation and drying system (HKW) has been collected to obtain representative samples of the different diets prepared daily. The chemical characterization of streams revealed a variation in composition of the wastes depending on the menus. Those from dinner + breakfast (D + B) presented protein content in the range 42–54% of the dry weight and those form lunch + snack (L + S) in the range 19–33%, whereas the carbohydrate content was 52–65% in D + B and 47–53% in L + S waste streams. These values suggested the possibility of proposing a different valorization scheme for each type of stream. In this study, a green extraction process with pressurized hot water under microwave heating has been explored for the solubilization of the most abundant and valuable components, protein, and carbohydrates. The starch fractions recovered from the crude extract were proposed for the formulation of anti-freezing hydrogels suitable for 3D printing, and the possibilities of valorizing other fractions such as proteins as plant biostimulants are also discussed.

Graphical abstract

Notes

Publisher's note

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1 Introduction

The increasing amounts of food losses and wastes are having a negative environmental impact [13, 23, 35], and their sustainable management represents a challenge from economic and ecological points of view. Different strategies can be proposed, including prevention, mitigation, and post-valorization [8, 13, 14].
Kitchen wastes, representing one part of food wastes, are worldwide relevant and due to their concentration in some big restaurants, would serve as an excellent source of value added products owing to their organic content. However, the high heterogeneity and moisture content are challenging the further efficient utilization [35]. Kitchen waste is often mixed with municipal solid waste streams for energetic valorization; the most usual are based on thermal (gasification, pyrolysis, and incineration), chemical or biochemical (composting, anaerobic digestion) transformations [22], but different final products can be obtained either for bioconversion processes, from isolation of constituents or for the formulation of materials [2636, 43]. A biorefinery scheme has also been proposed to maximize both recovered nutrients and generation of high value-added products Carmona-Cabello et al. [6]. This change from the current linear economy model towards a circular economy based on the continuous valorization of waste generated would have a positive impact on the environment and also builds long-term resilience, new technologies, and jobs [5, 28, 34]. Furthermore, the transition towards bioeconomy can reduce the need of fossil fuels and contribute to the United Nations Sustainable Development Goals [6, 21].
The reduction in chemicals, time and energy, and the integral valorization of the raw materials in the framework of biorefineries are major concerns in the development of environmentally friendly processes. Hydrothermal treatment using pressurized hot water as solvent is an efficient green, scalable technology, useful both for extraction and for hydrolysis of different components. Water is found in the subcritical state at 100–374 °C and pressures up to 22 MPa, presenting unique properties, such as lower viscosity, density and dielectric constant, whereas the increased ionic product favors catalytic processes allowing shorter times and higher rates than conventional extraction [4, 32]. This technology has been proposed to enhance depolymerization of polysaccharides to oligomer and monomeric units, and for the generation of soluble protein fractions, peptides, and amino acids [2, 49]. An additional advantage is the possibility of avoiding the drying stages. This technology has also been proposed as the first stage in biorefineries of lignocellulosics [44, 47], food wastes [41], or micro and macroalgae [49]. The careful tuning is needed to maximize the extraction yield and to avoid degradation into monomeric units and decomposition products.
The whole domestic waste valorization is frequently studied using wastes from large scale kitchen, for example from restaurants. In the present study, the possibility of obtaining more representative, standardized, concentrated waste, and segregated streams corresponding to specific menus was considered a great advantage allowing a rational design of fractionation and valorization strategies. Therefore, a model hospital kitchen with a waste segregation system was selected for the collection of a mixture of the pre- and post-consumption kitchen waste samples representative of the different diets prepared. The samples have been characterized for the major components, and a green extraction technology was further evaluated for the solubilization of valuable fractions. Under conditions leading to maximal yield and concentration of protein and carbohydrate-rich fractions in the liquid extract, a potential application was tried, based on the formulation of anti-freezing hydrogels suitable for 3D printing.

2 Materials and methods

2.1 Materials

Samples from mixed pre- and post-consumption waste streams generated in the Complexo Hospitalario Universitario de Ourense (Spain) hospital kitchen were collected during the first week of January 2021. The automatic segregation system removes paper, metallic and, non-organic elements before grinding and dewatering. Each sample corresponded to different daily diets and two mixed menus, lunch and afternoon snack (L + S), and dinner and breakfast (D + B) were collected. Samples (500 g) of well-homogenized hospital kitchen wastes (HKW) with an initial moisture content of 76.86 ± 1.36% were packed in closed bags and were cold stored at − 18 °C. The defrosted samples were freeze-dried, homogenized, and milled in a Moulinex mill (MC300, 180 W). The moisture content after freeze-drying was 2.4–4.2%. Samples were further stored in hermetic plastic bags in darkness at room temperature before use.

2.2 Microwave-assisted pressurized hot water extraction

The freeze-dried and ground hospital kitchen-waste samples were mixed with distilled water at a high liquid:solid ratio 30:1 (w/w) in this initial approach. The suspensions were placed in the vials of a microwave (Monowave 450, Anton Paar, Austria), equipped with an autosampler MAS24, and heated until the selected target temperatures (140, 160, 180, and 200 °C). The operation mode consisted on a non-isothermal processing during the heating period (800 rpm, 850 W), with severity values (log R0) in the range 1.88–3.64, where \({R}_{0}=t\cdot \mathrm{exp}\left[\frac{T-100}{14.75}\right]\), being t, the reaction time (min) and T, the temperature (°C).
When the target temperature was reached, the microwave device was cooled down, and the liquid and solid phases were separated by vacuum filtration. The liquid fraction was cold stored overnight prior to separate the precipitated starch fraction [42]. Both dried starch (air convective oven, 40 °C, 24 h) and remaining liquid fractions were further analyzed. Extracts containing soluble components were concentrated to a final volume concentration ratio 3 in a 5-kDa ultrafiltration membrane (Merk-Millipore, Germany).

2.3 Analytical methodology

2.3.1 Chemical characterization

Moisture and ash content were determined gravimetrically. For moisture content determination, samples were placed in an air convective oven at 105 °C for 48 h, whereas for the ash content analysis, a muffle was used at 575 °C for 6 h. Protein content was estimated from the total nitrogen content value (Kjeldahl method) using the universal factor 6.25. Soluble protein was measured incubating samples with Bradford reagent (Sigma, Spain) for 20 min at room temperature and reading absorbance at 595 nm in relation to a standard curve prepared with bovine serum albumin (BSA) (Sigma, Spain). Mineral content was determined on the microwave (Marsxpress, CEM, USA)-assisted acid digestion of ashes (HNO3 and H2O2 at 1600 W, 15 min and 200 °C, 10 min). The contents of Na and K were obtained by atomic emission spectrophotometry, whereas atomic absorption spectroscopy was used for Ca, Fe, B, Cu, and Mg employing a 220 Fast sequential spectrophotometer (Varian, Palo Alto, CA). Cd and Pb contents were determined by inductively coupled plasma mass spectrometry (ICP-MS) (X Series, Thermo Scientific, USA). Hg was obtained by cold vapor atomic absoprtion spectroscopy (CVAAS).
The saccharidic composition of the samples was determined after an acid digestion (72% sulfuric acid, 30 °C, 60 min). The sample hydrolysis continued in an autoclave with sulfuric acid at 4% (121 °C, 60 min). The liquid phase was separated by filtration (0.45 μm) and analyzed by high performed liquid chromatography (1100 series, Agilent, Germany) in an Aminex HPX-87H (300 × 7.8 mm, BioRad, Hercules, CA, USA) column at 60 °C with 0.003 M H2SO4 at 0.6 mL/min as mobile phase.
The total lipid content of the KW samples was performed following the Folch method [15]. Briefly, the mixtures were homogenized with 20 parts of chloroform:methanol (2:1), for one part of sample and centrifuged for 10 min at 3000 rpm and 15 °C. After filtering, 5 mL of H2O was added, forming a biphase that was separated by centrifugation. The lipid content was gravimetrically determined once the chloroform was removed by rotary evaporation (320 mbar at 40 °C).
The total phenolic content was determined using the Folin–Ciocalteau reagent (1 N) and sodium carbonate at 20%. Samples were incubated in darkness at room temperature for 60 min, and the absorbance was measured at 730 nm against a distilled water blank and a standard curve with gallic acid (Sigma, Spain).
Total starch content and amylose/amylopectin ratio were calculated using two enzymatic kits (Megazyme, Co., Wicklow, Ireland) following standard procedures [1].

2.3.2 Antioxidant properties

A representative radical scavenging capacity assay was selected, with the ABTS [2,2-azinobis(3-ethyl-benzothiazoline-6-sulfonate)] radical cation (ABTS·+) [31]. After incubation of samples with the ABTS·+ solution for 6 min, the absorbance was read at 734 nm, and values were expressed as TEAC value (Trolox equivalent antioxidant capacity).

2.4 Anti-freezing starch-based hydrogels

2.4.1 Formulation

Isolated starch (moisture content: 10.3%) was used to formulate anti-freezing hydrogels based on the recommendations previously reported [48]. Starch was gelatinized at room temperature using the soluble extract fractions obtained after hydrothermal treatment. The biopolymer (15%, w/w) was dispersed in the hydrothermal liquid phase. The mixture was gelatinized under gentle stirring for 60 min at 25 °C. Starch solutions were incubated in a freezer at − 18 °C for 24 h to develop the anti-freezing hydrogels.

2.4.2 3D printing

To illustrate the possibility of obtaining printable anti-freezing hydrogels, 3D printing trials were conducted in a Foodini 3D printer (Natural Machines, Barcelona, Spain). Two printed models with cylindrical study (15-mm diameter × 30-mm height) and spherical study (20-mm diameter) shapes were designed using Foodini creator software. The above starch/hydrothermal liquid phase solutions feed were dosed using a syringe extruder with 0.8-mm nozzle after being gellified into the printing tube at 25 °C. The printing settings were directly assigned as a new material using as the main parameters, the printing speed (1800 mm/min), ingredient flow (0.6), and gap between layers (2 mm). Several preliminary tests were performed to optimize the printing conditions taking into account the subsequent rheological features, according to the recommendations given in previous studies [10, 48]. The printed systems were placed at − 18 °C for 24 h to ensure full hydrogel maturation previously to further testing.

2.4.3 Water retention measurements

The water retention ability test of prepared hydrogels was made according to the method previously reported [39]. Briefly, starch hydrogels were cut into cylinders (15.0-mm diameter, 10.0-mm height) and placed at room temperature. The corresponding dehydration kinetics of the hydrogels were monitored for 2 weeks, following the weight changes to calculate the water content (%) = (initial wet mass − dry mass) / initial wet mass × 100.

2.4.4 Rheological behavior

Rheological testing of the starch hydrogels, in terms of elastic (G′) and viscous (G″) moduli, was conducted on a controlled-stress rheometer (MCR302, Anton Paar, Austria) using a sand-blasted parallel plate (25-mm diameter, 1-mm gap) equipped with a Peltier temperature control (− 20 to 200 °C). Frequency sweeps were performed at 10 Pa within the linear viscoelastic range (< 25 Pa) at − 18 and 25 °C.

2.5 Statistical analysis

Above experimental measurements were made at least in triplicate. One-factor analysis of variance, ANOVA, was used to statistically analyze the experimental data sets by means of PASW Statistics v.22 (IBM SPSS Statistics, New York, USA) software. A post hoc Scheffé test was made to discriminate means (95% confidence, p < 0.05), when the variance analysis indicated differences between averages.

3 Results and Discussion

The hospital selected for the study has an innovative automated segregation, grinding, mixing-pressing, and dewatering system. The lower water content in the waste material facilitates storage due to lower risks of microbial contamination and is easier to manage and transport. The possibility of periodically segregating the waste streams from different cooking batches, corresponding to well characterized and standardized diets, converts this kitchen hospital in a unique and reference model for the evaluation of novel alternatives of valorization of the different wastes.

3.1 Proximal characterization

Adequate residue classification and detailed characterization are needed to define further valorization routes [8, 45]. Each collected sample represents a mixture of two meals, dinner-breakfast (D + B) and lunch-afternoon snack (L + S), and each sample correspond to each of the different diets formulated. Before chemical characterization, sample content was described according to a typology classification of the major components (Table 1). Visual characterization confirmed the presence of both organic material and non-edible inorganic fractions, such as meat and fish bones. The particular origin of these wastes, which are generated in the preparation or pre-consumption and post-consumption stages and partially segregated, makes them different from other kitchen wastes, collected in different restaurants, which included non-edible fractions, such as paper [8].
Table 1
Information on the sample origin and qualitative visual characterization of the hospital kitchen wastes (HKW)
Sample: menu
Content, color
Sample: menu
Content, color
1: L + S
Bones, vegetables, apple peel
Dark beige
8: D + B
Rice, vegetables, fish bones, orange
Dark beige
2: D + B
Rice, vegetable, citrus peels
Yellow-beige
9: L + S
Bones, vegetables (peas), fruits (orange, apple, pear)
Dark Brown
3: L + S
Fish bones, vegetable, fruits
Dark brown
10: D + B
Rice, bones, vegetables, fruits (orange, apple)
Yellow-beige
4: D + B
Rice, orange peel
Light yellow
11: L + S
Pasta, vegetables, orange
Dark beige
5: L + S
Rice, fish and chicken bones, vegetables, orange
Light brown
12: D + B
Rice, fruits (apple, orange, lemon), vegetables (tomato)
Light beige
6: D + B
Rice, vegetables, citrus
Greenish
13: L + S
Vegetables, fruit
Dark beige
7: L + S
Rice, vegetables, chicken bones, orange
Pale yellow
14: D + B
Rice, vegetables, orange
Beige
B breakfas;, L lunch, S afternoon snack, D dinner
The chemical characterization of the dried samples is shown in Table 2 and provides valuable information regarding the major groups (lipids, protein, carbohydrates). The ash content was under 3% in samples 1, 2, 11, and 13 but accounted for more than 8% in samples 3, 5, and 8, which contained some pieces from fish and chicken bones. Intermediate ash content was found in samples containing vegetable or fruit fractions, such as samples 4 and 12, which were comparable to the values in different restaurants and food services and lower than in households [8, 12].
Table 2
Proximal composition of the HKW samples
Content (%, dry basis)
Sample
Ash
Carbon
C/N ratio
Protein
Lipids
Carbohydrates
1
2.59 ± 0.08 g
48.67 ± 0.23c
6.18
49.18 ± 1.23c
6.41 ± 0.22d
49.34 ± 0.39d
2
2.77 ± 0.37 g
60.96 ± 1.68a
12.81
29.72 ± 0.98 g
2.64 ± 0.37 h
64.98 ± 1.21a
3
9.05 ± 0.33a,b
48.36 ± 1.23c
5.62
53.78 ± 1.55b
10.00 ± 0.46a
49.11 ± 1.45d
4
4.42 ± 0.23e
62.72 ± 2.54a
13.98
28.04 ± 0.54 g
3.82 ± 0.36 g
64.34 ± 1.25a
5
9.89 ± 0.89a
42.86 ± 6.35c,d
6.31
42.46 ± 0.87d
6.92 ± 0.07c
44.25 ± 2.23e
6
3.28 ± 0.14f
60.11 ± 2.31a
13.79
27.24 ± 0.29 g
5.01 ± 0.11f
64.81 ± 1.44a
7
4.33 ± 0.63e
47.69 ± 0.23c
7.06
42.20 ± 1.26d
5.52 ± 0.15e
48.24 ± 0.56d
8
8.06 ± 0.78b
43.25 ± 1.22e
8.32
32.50 ± 0.86f
4.26 ± 0.17 g
51.98 ± 1.10c
9
6.08 ± 1.58c,d
46.60 ± 1.31c
4.91
59.25 ± 2.32a
7.26 ± 1.58b,cc
47.52 ± 3.89d
10
3.32 ± 0.17f
55.69 ± 1.72b
10.42
33.40 ± 1.11f
4.82 ± 0.21f
59.70 ± 1.12b
11
2.19 ± 0.03 g
46.42 ± 0.33d
7.20
40.28 ± 0.56e
4.59 ± 0.48f
53.21 ± 0.76c
12
5.56 ± 0.43d
48.88 ± 2.02c
9.49
32.17 ± 0.24f
8.61 ± 0.13b
52.51 ± 1.34c
13
2.22 ± 0.03 g
48.15 ± 0.01c
5.61
53.60 ± 1.12b
6.15 ± 0.45d
48.93 ± 1.03d
14
3.54 ± 0.07f
53.09 ± 3.92b
10.84
30.60 ± 0.98f
5.60 ± 0.07e
59.67 ± 1.49b
Data are provided as average values ± standard deviations. Values in columns with different superscript letters were significantly different (p < 0.05)
The mineral content of samples was highly diverse among samples (Table 3). The calcium content ranged from 2.3 g/kg in sample 11 to 33.3 g/kg in sample 8. Also samples 5, 3, and 9 show high content and presence of animal and fish bones. The sodium content, between 0.12 and 0.26% of the dry weight is lower than for other restaurants, 0.33%, but not as low despite the lower processed and salt content in the diet, but to the presence of fish wastes in samples 3 and 5. This was also probably the reason, with the presence of leafy greens of the high Mg content, ranging from 395 ppm in sample 13 to 1267 ppm in sample 5, whereas in kitchen restaurants was 228–1800 ppm [8, 18]. The K content ranged from 1.4 g/kg in sample 2 to 4.5 g/kg in sample 9, in the range of those reported for other KW [8],this mineral can be found naturally in many foods, especially in unprocessed food, such as fruits, vegetables, milk, and whole grains.
Table 3
Mineral composition of the studied HKW samples
Content (mg/kg)
Sample
B
Ca
Cd
Cu
Fe
K
Mg
Na
Pb
Hg
1
8.8
2732
0
5.60
85.8
4052
604
2624
0
0.069
2
9.8
7678
0
7.40
109.2
1400
566
1347
0
0.050
3
5.0
19,046
0
4.20
105.6
3784
1073
2348
0
 < 0.04
4
5.4
11,616
0
3.20
36.2
3462
601
2084
0.2
0.092
5
6.4
26,180
0
3.60
86.2
4210
1267
2280
0
 < 0.04
6
2.6
6442
0
3.00
25.4
2394
439
2120
0
0.032
7
5.0
10,328
0
4.60
42.4
3056
776
1542
0
 < 0.04
8
3.8
33,280
0
4.40
79.2
2584
1143
2066
0
0.071
9
5.6
18,318
0
5.60
61.4
4504
872
2200
0
0.033
10
6.8
6888
0
6.80
65.6
1856
560
1230
0
 < 0.04
11
3.8
2286
0
5.20
44.0
2876
524
2090
0
0.031
12
4.2
12,980
0
4.00
38.6
2422
686
1553
0
0.045
13
3.0
2850
0
5.20
67.8
2572
395
2040
0
0.046
14
17.6
6048
0
5.40
63.4
2932
623
2520
0
0.030
Standard deviations were lower than 3% in all cases
The total carbon content varied between 43 and 63% of the dry weight. Comparable values have been found in hostel KW [20] and have been reported for other restaurants (50–55%) [8]. The C/N ratios in the range 8.3–14.0 have been observed in the samples from dinner-breakfast wastes, whereas ratios of 4.9–7.2 were found in lunch-snack wastes. Correspondingly, the protein content was high in KW from L + S, in the range 42.2% in sample 7 to 59.2% in sample 9. In HKW from D + B, the protein content ranged from 29.7% in sample 2 to 33.4% in sample 10. The latter samples showed values higher than those reported for household wastes, and also the lunch-snack ones are even higher [12]. C/N ratio can provide information for the valorization process, particularly those based on the biodegradation and bioconversion. Ratios in the range 13–16 have been reported, with a maximum for Italian and lower for grill restaurant [8].
Carbohydrate content of the HKW samples ranged over the range of 44 to 65%, being the highest values corresponding with dinner-breakfast wastes. Dias-Ferreira et al. [11] reported the highest waste associated to the main course and the bread, where high carbohydrate content can be found. This value is also higher in menus with fruits [8]. Data from kitchen wastes generated in different restaurants showed carbohydrate content for 44–51% (dry basis), this group being composed of simple sugar, starch, and fiber [8]. Lower value ranges were identified in household (40–55%) and in food service (35–55%) [12].
The lipid content ranged from 6–7% in samples 1, 9 and 13 to 8.6% in sample 12 and 10% in sample 3. These values are expectedly lower than in other kitchen wastes from different restaurants, in the range 17–33% [8, 12, 29] due to the presence of frying oils and sauces. Comparable values have been reported for cafeteria and household wastes [3, 30]. The lower lipid fraction in the hospital samples was due to the lower fat content of diets in a hospital compared to other types of restaurants and to the previous separation of cooking oil to be recycled in the municipal waste collection system. Further analysis of lipid classes in this study was not addressed.
Based on the information obtained in the characterization study, some suggestions could be proposed. The possibility of an early segregation of pre-consumption wastes, either corresponding to specific diets or to their mixture, could offer a great advantage allowing a rational design of fractionation and valorization strategies.

3.2 The yield of extract, total phenolic content and starch recovery

The potential of separation and fractionation operations for the selective recovery of valuable components was tested, using an aqueous-based process. Alternatively, solvent extraction for lipid recovery has been reported [7]. In the present study, a process allowing the direct use of the KW without previous drying, the use of water as solvent and the feasibility of obtaining valuable products from the protein and carbohydrate fractions were explored. For this purpose, the utilization of an aqueous-based extraction and depolymerization technique was chosen for designing flexible and efficient fractionation processes.
The extraction yield and composition of the extracts obtained in the range of final heating temperatures studied for the different HKW samples have been given in Table 4. The influence of severity during microwave-assisted extraction on the total extraction yield (a), protein content (b), and phenolic content (c) is shown in Fig. 1. Except for samples 2 and 6, the maximum extraction yield was obtained operating at the highest severity tested, during heating up to 200 °C. This trend was also observed for samples with high protein content (> 50%), 1, 3, 9, and 13. Up to 60% of the initial sample could be solubilized for samples 1 and 13, whereas 53 and 58% were attained in samples 3 and 9. Extraction yields higher than 70% were observed for samples 4 and 6.
Table 4
Influence of final heating temperature during microwave-assisted water extraction of HKW on the extraction yield, composition of the extract obtained in dry basis, and starch yield after cold separation from the extract
Sample
T (°C)
Extraction yield (g/100 dry sample)
Protein (g/100 g extract)
Total phenolics (g/100 g extract)
Trolox equivalent antioxidant capacity (g/100 g)
Starch (g/100 g dry extract)
1
140
30.71
8.97 ± 0.15a
1.56 ± 0.05d
0.92 ± 0.05 h
5.36
160
45.71
7.73 ± 0.12c
1.88 ± 0.03c
0.95 ± 0.01 h
2.90
180
52.30
6.69 ± 0.11e
2.36 ± 0.05b
1.66 ± 0.01f
 
200
59.80
3.50 ± 0.02 l
2.76 ± 0.02a
2.40 ± 0.06c
2
140
30.11
2.29 ± 0.05n
0.74 ± 0.01 h
1.00 ± 0.10 g
4.94
160
58.74
1.84 ± 0.05o
1.30 ± 0.02e
1.49 ± 0.01 g
1.02
180
68.63
1.17 ± 0.09q
1.62 ± 0.02d
2.09 ± 0.01d
 
200
63.96
1.49 ± 0.05p
2.69 ± 0.02a
3.74 ± 0.06a
3
140
25.50
5.04 ± 0.05 h
0.63 ± 0.01i
0.38 ± 0.05 k
3.98
160
39.04
4.91 ± 0.01i
0.86 ± 0.03 g
0.47 ± 0.01j
1.30
180
44.75
4.98 ± 0.09i
1.27 ± 0.02e
1.40 ± 0.01f
 
200
53.31
3.22 ± 0.07 l
2.05 ± 0.05b
1.97 ± 0.01e
4
140
26.18
5.05 ± 0.09 h
1.09 ± 0.01f
1.19 ± 0.19 g
3.05
160
30.43
4.42 ± 0.13j
1.15 ± 0.01f
1.89 ± 0.10f
4.14
180
66.92
2.12 ± 0.10ñ
1.19 ± 0.02f
1.72 ± 0.05f
 
200
70.96
1.89 ± 0.04o
1.84 ± 0.02c
2.13 ± 0.03d
5
140
34.21
3.42 ± 0.06 l
0.84 ± 0.01 g
1.46 ± 0.04 g
1.94
160
41.90
3.33 ± 0.06 l
1.07 ± 0.02f
1.63 ± 0.03f
2.38
180
53.25
3.09 ± 0.05ll
1.72 ± 0.01d
2.12 ± 0.05d
 
200
59.21
2.95 ± 0.07 m
2.38 ± 0.02b
3.02 ± 0.06b
6
140
14.49
5.69 ± 0.21 g
1.49 ± 0.04d
1.26 ± 0.09 g
2.86
160
19.03
5.34 ± 0.09 h
1.65 ± 0.04d
1.64 ± 0.16f
2.49
180
74.45
2.11 ± 0.01ñ
0.64 ± 0.01i
0.72 ± 0.00i
 
200
72.72
3.29 ± 0.08ll
1.16 ± 0.01f
1.16 ± 0.04 g
7
140
19.30
4.99 ± 0.10i
1.14 ± 0.02f
1.46 ± 0.18 g
1.08
160
23.70
4.40 ± 0.12j
1.55 ± 0.01d
1.17 ± 0.21 h
1.01
180
32.62
3.18 ± 0.13ll
2.17 ± 0.01b
2.15 ± 0.05d
 
200
53.51
1.81 ± 0.09o
2.52 ± 0.01a
2.33 ± 0.10c
8
140
20.08
3.91 ± 0.15 k
1.03 ± 0.02f
0.51 ± 0.17j
8.84
160
20.63
3.60 ± 0.14 l
1.35 ± 0.04e
1.13 ± 0.19 g
2.34
180
27.52
2.30 ± 0.47n
1.75 ± 0.02d
1.95 ± 0.07e
 
200
51.88
2.05 ± 0.12ñ
2.20 ± 0.00b
2.06 ± 0.08d
9
140
31.91
9.01 ± 0.12a
0.82 ± 0.01 g
0.70 ± 0.15i
1.16
160
44.18
8.27 ± 0.13b
1.34 ± 0.02e
0.96 ± 0.07 h
2.03
180
49.70
6.16 ± 0.08f
1.96 ± 0.05c
1.65 ± 0.00f
 
200
57.77
3.17 ± 0.08ll
2.71 ± 0.04a
2.27 ± 0.04c
10
140
39.43
1.54 ± 0.04p
0.70 ± 0.02 h
1.77 ± 0.23f
1.08
160
49.85
1.20 ± 0.06q
1.08 ± 0.02f
1.62 ± 0.10f
1.15
180
51.91
1.05 ± 0.02r
1.92 ± 0.04c
2.30 ± 0.09c
 
200
58.68
0.88 ± 0.04 s
2.88 ± 0.03a
3.55 ± 0.06a
11
140
45.84
3.99 ± 0.11 k
0.53 ± 0.01j
0.83 ± 0.16 h
2.45
160
54.01
3.42 ± 0.23 l
0.83 ± 0.00 g
1.49 ± 0.06 g
3.68
180
59.19
2.66 ± 0.03n
1.39 ± 0.01e
1.88 ± 0.04e
 
200
66.52
2.17 ± 0.09ñ
2.06 ± 0.02b
2.89 ± 0.14b
12
140
41.95
2.69 ± 0.05n
0.24 ± 0.01
0.22 ± 0.06 l
2.05
160
52.00
1.91 ± 0.02o
0.41 ± 0.00
0.32 ± 0.04 k
0.80
180
54.47
2.46 ± 0.05n
0.88 ± 0.00 g
0.87 ± 0.04 h
 
200
63.13
2.08 ± 0.09ñ
1.54 ± 0.02d
1.26 ± 0.03 g
13
140
36.05
7.95 ± 0.08b
0.48 ± 0.01j
0.39 ± 0.05 k
2.11
160
44.97
7.32 ± 0.23d
0.65 ± 0.01i
0.48 ± 0.05j
1.97
180
51.07
4.32 ± 0.09j
0.95 ± 0.01 g
1.07 ± 0.03 g
 
200
60.95
2.72 ± 0.24 m, n
1.56 ± 0.01d
1.62 ± 0.03f
14
140
43.06
2.90 ± 0.12 m
0.48 ± 0.00j
1.43 ± 0.04 g
0.72
160
50.33
2.47 ± 0.07n
0.71 ± 0.00 h
1.77 ± 0.07f
2.60
180
54.57
1.89 ± 0.18o
1.23 ± 0.00e
2.34 ± 0.08c
 
200
59.24
1.85 ± 0.11o
1.87 ± 0.02c
2.89 ± 0.14b
Data are provided as average values ± standard deviations. Values in columns with different superscript letters were significantly different (p < 0.05)
Soluble starch was also recovered from the extracts after cold selective solid–liquid separation obtained at the two lowest tested final heating temperatures, accounting for 8.8 and 5.4 g/100 g extract from samples 8 and 1, respectively. Starch yield seemed to depend more on the diet than on the meal. The isolated biopolymer exhibited high total starch content of 90.5 ± 2.3% and amylose content of 21.2 ± 3.1% comparable with those reported for commonly used starches (e.g., potato, rice, corn) [51, 52]. Literature data regarding starch content have shown a wide range of values for food wastes (bread, rice, or pasta) from restaurant sector (16.2–29.4%, w/w) [8], kitchen wastes (17.4%) [46], or other food waste sources (11.5–42.1%) [16]. Although higher starch content was identified, lower total starch content was reported for the last two works with values of 77.7–80.3% and 16.3%, respectively. Despite an increasing protein extraction yield is expected with increasing temperature, the concentration in the extract is maximal at 140–160 °C due to the increase in non-proteinic compounds at higher temperatures.
As a general trend, the total phenolic content in the extract increased with temperature regardless of the diet and the meal. The content in the extract was low, up to 1.5–2.8% of the dry extract. A concomitant trend for the ABTS radical scavenging capacity was found, but the values were very low. The ABTS radical scavenging capacity assay was used to follow the solubilization of phytoconstituents from vegetable-rich samples and also could correlate with the properties of bioactive peptides solubilized during the subcritical water-extraction stage. Since protein hydrolysates and bioactive peptides exhibit a range of health-promoting properties [25]. Bioactive peptides and hydrolysates have been produced from food wastes and byproducts from terrestrial animals, fish and their byproducts [50]. Further studies of detailed biological and functional characterization are ongoing.

3.3 Valorization of the soluble fractions

For the commercial implementation of an integrated biorefinery, the design of advanced, eco-friendly, and economically profitable units is needed. The biorefining opportunities related to organic wastes rely on high-value added products associated to some emerging markets, such as (i) chemical basic-platforms, (ii) bio-based products and commodities for sustainable and renewable farming systems, such as soil amendment, plant biostimulant, and biofertilizer), and (iii) innovative biomaterials, such as bioplastics. The preliminary potential application as protein hydrolysates and as bioplastics could be suggested for two of the streams evaluated.

3.3.1 Formulation of 3D printable anti-freezing hydrogels

The flow diagram of the proposed valorization of selected pre- and post-consumption hospital kitchen wastes for a representative rich-starch fractions, containing the highest values of this biopolymer (sample 8, processed up to 140 °C), is shown in Fig. 2. The starch present in this D + B waste material was efficiently recovered with the proposed treatment. Biopolymers derived from renewable resources are an emerging class of advanced materials useful as adhesives, gums, binders, and emulsions. Among these biopolymers are starch and proteins with ability to tailor materials with desirable properties [19]. Starch blends are considered new economy bio-based plastics [38]. Hydrogels are attracting extensive attention due to their biocompatibility, flexibility, multifunctionality, and porosity, for food, bioengineering, soft electronics, and agricultural applications. Starch is one of the most economical and available materials for preparing hydrogels, but becoming fragile and losing elasticity at subzero temperatures. One approach to develop anti-freezing starch hydrogels that can maintain their strength and elasticity even at subzero temperatures is the formulation of water/glycerol mixtures, and also the presence of salts in the water could lower the freezing point. Anti-freezing hydrogels with the addition of CaCl2 could be formed into different 3D structures and could broaden the application of starch in various fields. Anti-freezing starch bio-based hydrogels have been attracting extensive attention for their excellent water retention ability and for the formulation of food, adhesives, medical materials, and intelligent materials [48]. Commonly, glycerol and CaCl2 were concurrently introduced to improve its mechanical, thermal, and conductive properties. These materials are highly demanded as high performing, cost effective, and safe for wearable electronic devices [24] and power sources [51, 52] with potential as substrates for transient electronics. Starch could lower the electronic waste caused by non-biodegradable and non-reusable electronic components in flexible electronic devices, due to its advantages of biodegradability, cost effectiveness, abundance, and renewability.
In this context, a selected starch-rich HKW samples was evaluated for printable anti-freezing hydrogels using the corresponding soluble extract fractions obtained after hydrothermal treatment. The rheological features of formulated and printed anti-freezing hydrogels measured at both subzero (− 18 °C) and room temperature (25 °C) have been given in Fig. 3a. All the samples exhibited predominant elastic behavior, with G′ > G″, over the tested frequency range. Both elastic and viscous moduli were almost frequency invariant, indicating a typical gel-like behavior [41]. Slight frequency dependence was identified for G″ modulus above 2.5 Hz. At fixed angular frequency, G′ and G″ moduli values were slightly higher for samples measured at subzero temperature, which is consistent with the gel network reinforcement expected at lower temperatures. This suggests that proposed KW starch-based hydrogels can maintain adequate gel mechanical performance at subzero temperatures. Note here that all printed hydrogels exhibited similar mechanical profiles, with slightly lower viscoelastic properties (Fig. 3b). Anyway, the magnitude of G′ and G″ moduli indicated intermediate strength gels, with mechanical behavior at both tested temperatures with better compressive than those obtained by the traditional hydrothermal method [48]. These results suggest that the components present in the hydrothermal liquid phases (minerals as calcium, lipids, or proteins) used here for the anti-freezing hydrogel development favor the hydrophilic cross-linking, without the extra-addition of CaCl2 or glycerol [17].
The ability of the proposed anti-freezing hydrogels to hold water in the environment was also assessed. For both formulated and printed starchy hydrogels, the water content drop from 100% at the initial stage to 75% (1 week), and then decreased slowly to 60% (2 weeks). The observed water-hold capacities were higher than those previously reported for novel anti-freezing hydrogels from potato and corn starches incorporated with CaCl2 formulated at subzero temperatures, where incubation times of 1 week at room temperature involved 55% of water and 17–25% for those control hydrogels placed in water with the same incubation time [48]. Later, the authors explained that smaller pores of the network formed at subzero temperature, which trapped water inside the hydro gel network, can help to rise the water holding ability. Ions as Ca2+ present in the hydrothermal liquid phase used as solvent have a high charge density and can form strong electrostatic interactions with water molecules, which could have reduced the free water content in the hydrogel [41].
Overall, the outcomes demonstrated that it could be possible to design anti-freezing printable hydrogels into different 3D structures as spheres or cylinders with adequate rheological performance (Fig. 3b). It should be remarked that developed hydrogels were transparent, smooth, and stereo, which is indicative of the quick prototyping ability of anti-freezing starch-based hydrogels.

3.3.2 Soluble protein and hydrolysates

The flow diagram corresponding to processing a selected protein-rich HKW (sample 9, processed up to 160 °C) has been presented in Fig. 4. The corresponding soluble extracts were further concentrated in a 5-kDa cut-off ultrafiltration membrane operating in concentration mode to a final volume concentration ratio 3. Both retentate and permeate were collected and analyzed. Under these conditions permeate with 71% peptides under 5 kDa was obtained, and the carbohydrate content was 13%. The retentate contained 51% protein and 26% carbohydrates.
Protein hydrolysates obtained from recycling wastes of plant or animal origin are good candidates to be used as plant biostimulants because of their high amino acids and soluble peptide concentrations. Biostimulants are at the moment one of the most eco-friendly sustainable strategy to increase crop production reducing the use of chemicals. Vegetable- and animal-derived protein hydrolysates are interesting biostimulants for their ability to enhance plant growth and mitigate the effects of environmental stresses [37]. Their composition is influenced by the source of proteins and the hydrolytic processes (chemical-thermal and/or enzymatic hydrolysis) utilized. Whereas enzymatically produced vegetable protein hydrolysates are mainly characterized by signaling peptides, the free amino acids are the main bioactive molecules in those from animal origin chemically produced, which are more effective at low doses, because at high doses plants need to counteract the negative effects of Na and Cl at toxic levels [33]. The enzymatically hydrolyzed animal protein-based biostimulants, represent a cost-effective approach to alleviate the negative effects of several stresses in horticultural crops, by stimulating the biosynthesis of specific hormonal pathways [9]. Conventional extraction of protein from biomass relies on acid or alkaline extraction and the further production of protein hydrolysates, composed of large peptides, small peptides, and free aminoacids, can be addressed by chemical, enzymatic, or microbial hydrolysis. The enzymatic hydrolysis offers advantages to be performed under mild conditions with precise control of the degree of hydrolysis, minimizing side reactions and the presence of toxic chemicals in the products. The development of efficient and scalable methods avoiding chemicals, enzymes, and prolonged times and could be addressed using water under subcritical conditions [27]. This is a technically efficient, inexpensive, scalable and environmentally friendly technology although less selective [2].
In this work, high amounts of protein have been identified < 5 kDa (0.250-kg protein). This could make lunch + snack HKW attractive candidates for biostimulants, since it was reported that those samples with higher protein and peptide content under 3 kDa exhibited higher impact on the soil biological properties [40]. This was related to the easier assimilation of low molecular weight proteins by soil microorganisms promoting the vegetation establishment, which can protect the soil erosion. Further studies to optimize the potential of these applications and also to advance in the utilization of the insoluble solid phase are ongoing.

4 Conclusions

The results from the present study represent a green approach to the management and valorization of kitchen wastes. A hospital kitchen with reproducible menus and with an automated organic matter segregation, grinding and drying system was selected for exploring a waste valorization scheme and two potential applications adapted to the composition of the different streams. The pressing and drying preconditioning automated stages and the higher repeatability of menus represent a model waste ideal for studying value-added solutions. However, further studies on the seasonal variation are needed and ongoing.
The studied hospital kitchen wastes showed a higher protein and lower lipid content than other kitchen wastes reported in literature. A marked difference among the different diets served in the hospital was found, the protein content being higher in the lunch-snack samples and the carbohydrate content in the dinner-breakfast ones. Microwave-assisted extraction using water as solvent solubilized between 18 and 72% samples and those with higher starch and protein content was used for the formulation of hydrogels potentially useful for 3D printable non-freezable gels.

Acknowledgements

We acknowledge the CACTI (Centre of Scientific & Technological Support to the Research — University of Vigo — Spain) for their support with mineral determinations.

Declarations

Conflict of interest

The authors declare no competing interests.
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Metadata
Title
Preliminary evaluation of pressurized hot water extraction for the solubilization of valuable components from hospital kitchen wastes
Authors
Rebeca Esteban-Lustres
Ma Dolores Torres
Antonio Pazos
Cristina Enjamio
Beatriz Piñeiro
Herminia Domínguez
Publication date
18-03-2022
Publisher
Springer Berlin Heidelberg
Published in
Biomass Conversion and Biorefinery / Issue 4/2024
Print ISSN: 2190-6815
Electronic ISSN: 2190-6823
DOI
https://doi.org/10.1007/s13399-022-02557-3

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