Zoé P Morreeuw1, Leopoldo J Ríos-González2, Carmen Salinas-Salazar3, Elda M Melchor-Martínez3, Juan A Ascacio-Valdés4, Roberto Parra-Saldívar3, Hafiz M N Iqbal3, Ana G Reyes1,5. 1. Centro de Investigaciones Biológicas del Noroeste (CIBNOR), Instituto Politécnico Nacional 195, Playa Palo Santa Rita Sur, La Paz 23096, Mexico. 2. Departamento de Biotecnología, Facultad de Ciencias Químicas, Universidad Autónoma de Coahuila (UAdeC), Blvd. V. Carranza, Republica Oriente, Saltillo 25280, Mexico. 3. Tecnologico de Monterrey, School of Engineering and Sciences, Monterrey 64849, Mexico. 4. Bioprocess and Bioproducts Research Group, Food Research Department, Universidad Autónoma de Coahuila (UAdeC), Republica Oriente, Saltillo 25280, Mexico. 5. CONACYT-CIBNOR, Instituto Politécnico Nacional 195, Playa Palo Santa Rita Sur, La Paz 23096, Mexico.
A global effort to achieve environmental sustainability and product safety is still challenged in retrieving and valorizing agro-industrial wastes [1,2,3,4,5]. In Mexico, the Tampico fiber industry discharges on the surrounding land over 150,000 tons/year of plant residues leading to environmental and health issues [6,7]. The Tampico fiber is traditionally obtained from Agave lechuguilla (Asparagaceae), a native species of northeastern Mexico [8,9], with annual productivity of around 55.98 kg/ha [10]. The harvest and carving of the leaves for their high-quality fibers constitute the primary income for inhabitants of arid and semi-arid rural areas [11].Since 1996, the fiber recovery from wild A. lechuguilla has been considered a sustainable activity due to the corresponding Mexican Normative, which ensures regrowth of the central leaves for further harvests [12,13,14]. However, the exploitation of A. lechuguilla leaves results in 15% commercialized fiber and 85% waste [7]. The constant accumulation of the Agave bagasse led academics and industrialists to consider this renewable feedstock for biorefining purposes [15,16,17]. Due to its large availability and its lack of competition with human foods and animal feeds, A. lechuguilla biomass is considered a promising option for bioenergy production [7].Therefore, bioprocesses have already been consolidated [18,19,20,21]. Although, for the economic feasibility of the process, other derived products are required to improve the biorefinery scheme [7,8,9,10,11,12,13,14,15] and establish the commercial value of A. lechuguilla bagasse. Following the global trends in the valorization of agro-waste, phytochemical recovery recently appeared as a relevant new step in biorefinery development [22,23,24,25]. Thus, the current proposal for A. lechuguilla and other agave-related industries is to obtain high-added-value co-products [15,26].In addition, plants remain the worldwide largest source of natural bioactive products [27], and there is a rising interest in using agro-residues, such as corn husks, as low-cost feedstocks for the procurement of active biomolecules, such as flavonoids [2,28,29]. In this context, bioprospecting studies have already described the benefits of A. lechuguilla extracts as antioxidant [30,31], anticancer [32], feed additive [33], antiparasitic [34,35], antibacterial, and antifungal [31,36,37]. Among the active agents of A. lechuguilla waste biomass, phenolic compounds have been widely characterized [38,39,40,41]. The diversity of chemical structures of the flavonoids found in A. lechuguilla bagasse explain the wide range of exhibited bioactivities.The major group of flavonoids found in A. lechuguilla co-products are glycoside flavonols with concentrations ranging from 291.51 ± 15.017 to 1251.96 ± 63.09 µg/g Dry Weight (DW) and are known for acting as antioxidant, antibacterial, antiviral, cardio protective, anti-inflammatory, and anti-cancer [32,42]. The second-most abundant compounds are the anthocyanins with about 12.32 to 24.23 µg/g DW and are particularly interesting for their health-promoting, antibacterial, and antioxidant capacities [43,44].At lower concentrations, the aglycone flavonols and flavanols presented, respectively, 15.57 and 7.91 µg/g DW, and showed antioxidant, anti-inflammatory, and anti-cancer effects [45]. The stated concentrations [40,41] and potential therapeutic effects suggest the downstream uses of the A. lechuguilla derivative products in cosmetic, nutraceutical, and pharmaceutical industries. In addition, the conservation of the flavonoid profiles through the productive areas confirmed the potential of this abundant plant material for the procurement of natural bioactive ingredients for commercial applications [41].However, the valorization of agro-waste through the procurement of active phytochemicals requires adequate management and pretreatment of the biomass [25,46]. Morreeuw et al. [40] demonstrated the preservation of flavonoids in the A. lechuguilla bagasse stored for nine months under suitable conditions, e.g., preventing light, moisture, and oxygen exposure. Freeze-drying is the best laboratory procedure for phytochemical preservation; however, it is time- and energy-consuming and, thus, unsuitable at an industrial scale. Alternative drying methods have been considered for the use of Agave spp. biomass at a larger scale, such as drying under natural conditions (environment temperature and light) [47] and artificial conditions performing oven dehydration at 45 °C [18], 60 °C [47], and 105 °C [48].Temperature and light exposure are the most important factors that might alter the stability of flavonoids structure and function [49,50,51,52]. Hence, if the first insights in the processing of A. lechuguilla bagasse for flavonoid extraction suggested large-scale valorization potential, the drying procedure has yet to be adjusted to reach an industrial scale. After that, the plant cell matrix is known for to be a limit in the extraction of phytochemicals, mainly phenolic compounds, linked to the cell wall multilayer structure [53,54]. Acid, alkaline, and thermal pretreatments of A. lechuguilla biomass have been studied as previous steps for biogas and biofuel production [18,20,21].However, such processes are known to modulate the physico-chemical properties of the phytochemicals [55,56]. For instance, Carmona et al. [30] reported that alkaline pretreatment decreased the antioxidant capacity of the A. lechuguilla extracts. In contrast, enzymatic hydrolysis effectively degrades and disrupts the lignocellulosic matrix to release bioactive flavonoids without affecting their biological properties [57,58]. Thus, the integration of a hydrolysis step prior to extraction could enhance flavonoid recovery. However, critical parameters must be considered to adequately perform enzymatic-assisted extraction of bioactive compounds, such as the enzyme loading, solids loading, pH, temperature, and incubation time [54,59].In this regard, the present work aimed to optimize the early stages of the bioprocessing of the A. lechuguilla agro-waste by targeting highly valuable flavonoids. Different drying methods were applied to determine the impact of light and temperature on the conservation of flavonoid content. Afterward, optimization of the enzymatic pretreatment was conducted through Taguchi-based methods to evaluate the impact of mixed composition and incubation parameters (pH, temperature, and time) in the physicochemical properties of the extracts. In all experiments, the extraction yield, total phenolic content (TPC), total flavonoid content (TFC), quantitative HPLC-UV profile, and free-radical scavenging capacity (DPPH) were assessed. Optimization of the drying and enzymatic pretreatment for the bioconversion of the A. lechuguilla bagasse into added-value extracts provides new insights that could be considered in the biorefinery conceptualization and scaling-up approach to reach industrial applications.
2. Results
2.1. Drying Process
2.1.1. Extraction Yields
Regarding the drying process, the highest yields were obtained using freeze-drying independently from light exposure, with 38.98 ± 0.64 %DW in the dark (LD) and 38.03% ± 2.18 %DW with light (LL). The oven-dehydration (D) and sun-dry (S) procedures markedly reduced the extraction yields compared to the lyophilized samples, resulting in 31.37 ± 2.17 %DW and 25.16 ± 3.53 %DW, respectively (Figure 1).
Figure 1
Global extraction yields in percentage of dry weight (% DW) obtained for ethanolic extraction of Agave lechuguilla bagasse freeze-dried in the dark (LD), exposed to light (LL), oven-dehydrated (D), and sun-dried (S). The given letters “a”, “b”, and “ab” indicate statistically significant results as per Kruskal–Wallis test (n = 3, p < 0.05).
2.1.2. Total Phenolic and Flavonoid Content
The drying process significantly impacted both the phenolic and flavonoid concentrations in the extracts (Figure 2). The highest TPC was obtained from oven-dry bagasse with 16.47 ± 0.63 mg GAE/g Fresh Weight (FW); however, it was not significantly higher than the 14.41 ± 1.81 mg GAE/g FW obtained from the bagasse freeze-dried in the dark. Likewise, the LD (14.41 ± 1.81 mg GAE/g FW), LL (11.75 ± 1.27 mg GAE/g FW), and S (12.38 ± 1.76 mg GAE/g FW) treatments did not show a significant difference in the TPC. Regarding the flavonoid content, TFC was significantly higher in extracts obtained from LD treated bagasse (10.29 ± 1.80 mg QE/g FW) compared to the sun-dried material (5.96 ± 0.96 mg QE/g FW), whereas the TFC obtained from LL and D conditioned biomass, which did not differ from the other drying processes, gave 7.57 ± 1.38 and 8.23 ± 1.22 mg QE/g FW, respectively.
Figure 2
The total polyphenol content (TPC) expressed in milligram gallic acid equivalents (mg GAE) and total flavonoid content (TFC) in milligram quercetin equivalents (mg QE) per gram of fresh weight (FW) measured in ethanolic extracts of Agave lechuguilla bagasse freeze-dried in the dark (LD), exposed to light (LL), oven-dehydrated (D), and sun-dried (S). The given letters “a”, “b”, and “ab” indicate significant differences as per Tukey HSD analysis for TPC and TFC data, respectively (n = 12, p < 0.05).
2.1.3. Specific Flavonoid Profiles
The number of flavonoids quantified by HPLC-UV analysis represented approximately 10.64% of the total flavonoid content. The specific recovery yields were 7.66% glycoside flavonols, 2.72% glycoside flavanones, 0.33% aglycone flavonols, 0.09% anthocyanins, and 0.037% aglycone flavanols (Table 1; Figure 2).
Table 1
Concentration of flavonoid ‡ in micrograms per gram DW (µg/g DW) obtained by HPLC-UV quantitative analysis of ethanolic extract of Agave lechuguilla bagasse dried under different conditions ∫.
LD
LL
D
S
Means
SD
*
Means
SD
*
Means
SD
*
Means
SD
*
F
224.780
9.795
c
179.290
1.373
ab
194.120
5.180
bc
151.925
4.205
a
I
614.320
12.470
b
490.720
6.404
a
864.350
7.700
c
458.956
2.039
a
Ca
4.970
2.260
a
2.110
1.320
a
3.340
1.600
a
1.814
0.071
a
Cy
3.530
0.220
b
0.000
0.000
a
6.590
1.190
c
0.000
0.000
a
D
11.420
0.320
b
0.000
0.000
a
10.880
0.990
b
0.000
0.000
a
H
4.050
0.290
b
1.830
0.800
a
3.720
0.200
b
1.388
0.477
a
Q
13.730
0.250
c
12.280
0.680
b
13.620
0.380
bc
10.746
0.652
a
A
7.850
0.840
a
8.640
0.490
a
8.240
0.600
a
7.813
0.430
a
K
12.770
0.430
ab
13.170
0.250
b
12.960
0.310
ab
12.122
0.375
a
N
1.430
0.150
a
1.570
0.090
a
1.500
0.110
a
1.239
0.189
a
* The given letters “a”, “b”, and “ab” indicate a significant difference in flavonoid ‡ concentrations as a function of the drying process ∫. Kruskal–Wallis analysis of variance (n = 3, p < 0.05). SD, standard deviation. ‡ F, flavanone; I, isorhamnetin; Ca, catechin; Cy, cyanidin; D, delphinidin; H, hesperidin; Q, quercetin; A, apigenin; K, kaempferol; and N, naringenin. ∫ LD, freeze-dried in the dark; LL, exposed to light; D, oven-dehydrated; and S, sun-dried.
The drying process revealed differential abundances between light conditions with the lowest concentrations of all quantified flavonoids for LL and S, and the highest concentrations for LD and D (Table 1). More specifically, isorhamnetin was almost twice as concentrated for oven-dried (864.35 ± 7.70 µg/g DW) as for sun-dried bagasse (458.96 ± 2.04 µg/g DW). Light also impacted the anthocyanin (cyanidin and delphinidin) abundance, which fell under the detection limits for the extracts obtained from bagasse exposed to light.Flavanones showed a similar behavior, although no significance was evident between dark conditions with 224.78 ± 9.79 µg/g DW (LD) and 194.12 ± 5.18 µg/g DW (D), and LL-dried biomass (179.29 ± 1.37 µg/g DW). Likewise, quercetin and kaempferol presented comparable LD, LL, and D treatment concentrations with respective means of about 13.21 and 12.97 µg/g DW. In contrast, catechin, naringenin, and apigenin concentrations in the extracts were not affected and remained at around 3.06, 1.43, and 8.14 µg/g DW, respectively.
2.1.4. Free-Radical Scavenging Capacity
The effect of the drying process on the physicochemical properties of A. lechuguilla bagasse extracts was reflected in their free-radical scavenging capacity (Figure 3). The results showed a higher antioxidant activity (AA) obtained with the oven-dried material (35.59 ± 2.68 %I), followed by freeze-dried samples (31.45 ± 1.41 %I, under dark conditions, and 28.54 ± 1.02 %I, under light conditions), and the lowest AA was observed for the sun-dried biomass (22.87 ± 2.25 %I).
Figure 3
Antioxidant capacity of the ethanolic extracts of Agave lechuguilla bagasse freeze-dried in the dark (LD), exposed to light (LL), oven-dehydrated (D), and sun-dried (S) expressed as a percentage of the scavenging of the DPPH radicals (% I DPPH). The given letters “a”, “b”, “c”, and “bc” indicate significant differences as per Tukey HSD analysis (n = 4, p < 0.05).
2.2. Optimization of the Enzymatic Hydrolysis Process
2.2.1. Screening of Enzyme Concentrations
The first experimental design (DOE I) was carried out to screen the effect of the concentrations (5–15 IU) of laccase, cellulase, and pectinase as a function of the pH (4–6) on the extraction yields, TPC, and TFC of the A. lechuguilla biomass. The results merged in Table A4 showed that enzymes increased the extraction yields (23.99 ± 2.17 %FW) compared to the controls (18.58 ± 0.22 %FW), and the enzyme concentration did not induce a variation of the extraction yields. Similar trends were observed regarding the total phenolic and total flavonoid contents (Figure A1 and Figure A2). Laccase drastically decreased the TPC and TFC, whereas cellulase and pectinase did not have a significant effect. Modeling of the response variables according to the Taguchi design of the experiment predicted that increasing pH and laccase concentration negatively impacted TPC, an intermediate value of pectinase increased the TPC, whereas cellulase concentration had no effect.
Table A4
The extraction yields, total phenolic content (TPC), total flavonoid content (TFC), and free-radical scavenging capacity (AA) in response to the different enzymatic digestion treatments applied in the three designs of the experiment (DOE I, II, and III).
Yield (%FW)
TPC (mg GAE/g FW)
TFC (mg QE/g FW)
AA (%I DPPH)
Controls
C1
18.753 ± 2.416
ab
15.518 ± 0.302
ad
4.811 ± 0.094
bcehij
31.031 ± 1.384
cd
C2
18.662 ± 1.116
ab
13.099 ± 1.217
ab
3.668 ± 0.341
ae
30.082 ± 1.108
bcd
C3
18.327 ± 1.015
ab
12.840 ± 1.570
ab
3.788 ± 0.463
ae
30.655 ± 1.458
bcd
DOE I
1
22.202 ± 2.028
ace
12.842 ± 0.394
ab
4.026 ± 0.123
acef
NA
2
22.652 ± 2.701
ace
12.251 ± 1.032
ab
3.693 ± 0.311
ae
NA
3
27.763 ± 2.985
e
11.675 ± 0.908
ab
3.339 ± 0.260
acef
NA
4
26.271 ± 1.878
de
12.419 ± 1.540
ab
3.962 ± 0.491
ae
NA
5
21.060 ± 0.824
acd
12.301 ± 0.606
ab
4.465 ± 0.220
bceh
NA
6
23.290 ± 1.245
ace
12.345 ± 1.270
ab
3.259 ± 0.335
acef
NA
7
24.509 ± 2.584
bce
12.885 ± 0.073
ab
3.519 ± 0.159
acd
NA
8
25.451 ± 3.926
ce
11.908 ± 0.831
ab
3.078 ± 0.215
ab
NA
9
22.721 ± 1.759
ace
10.939 ± 0.679
ab
2.623 ± 0.163
a
NA
DOE II
11
19.341 ± 2.734
ac
13.865 ± 1.465
abc
5.269 ± 0.557
dehij
34.061 ± 4.633
cde
12
20.419 ± 3.881
acd
16.166 ± 1.809
ad
5.412 ± 0.181
ehij
44.372 ± 4.850
ghi
13
21.792 ± 0.548
ace
20.256 ± 2.870
d
5.834 ± 0.827
fghk
45.530 ± 2.607
h
14
21.782 ± 1.046
ace
13.215 ± 2.286
abc
4.625 ± 0.800
bcehi
29.619 ± 1.592
bcd
15
21.516 ± 3.371
ace
12.335 ± 0.363
ab
4.687 ± 0.138
bcehi
23.176 ± 0.858
ab
16
21.334 ± 1.596
ace
12.899 ± 0.631
ab
4.946 ± 0.277
cehij
27.327 ± 1.263
ac
17
21.284 ± 1.272
ace
11.283 ± 2.014
a
3.986 ± 0.585
ae
33.602 ± 0.304
cde
18
16.856 ± 1.398
a
14.716 ± 3.163
abc
4.934 ± 0.572
cehij
34.434 ± 1.150
cdef
19
22.779 ± 0.908
ace
11.893 ± 0.743
ab
4.358 ± 0.218
aceh
20.527 ± 1.540
a
DOE III
21
20.027 ± 1.737
acd
15.696 ± 1.397
ad
5.933 ± 0.528
hk
36.931 ± 2.278
dg
22
23.305 ± 3.603
ace
15.143 ± 1.341
ad
5.833 ± 0.517
fghk
41.797 ± 3.616
fgh
23
22.911 ± 1.380
ace
11.640 ± 0.922
ab
4.093 ± 0.324
aceg
29.236 ± 3.471
bc
24
22.991 ± 0.507
ace
18.635 ± 3.810
cd
7.380 ± 1.509
k
43.496 ± 1.789
gh
25
18.892 ± 1.566
ac
15.517 ± 1.901
ad
6.129 ± 0.780
hk
32.305 ± 1.057
cd
26
20.394 ± 0.906
acd
15.167 ± 1.586
ad
6.361 ± 0.057
jk
40.761 ± 3.224
gh
27
19.747 ± 0.632
acd
15.790 ± 0.141
bd
5.919 ± 0.570
ghk
39.846 ± 2.517
egh
28
21.568 ± 1.648
ace
17.132 ± 3.832
ad
6.624 ± 1.482
ik
44.374 ± 0.905
egh
The means and SD based on triplicate analyses of the results obtained for each response variable. Different letters indicate pairwise difference obtained from the Tukey HSD test applied after the multifactorial ANOVA (n = 6; p < 0.05).
Figure A1
The total phenolic content (TPC; mg GAE/g FW) in the ethanolic extracts plotted as a function of the individual enzyme concentration (5–15 IU), (a) cellulase, (b) pectinase, (c) laccase, and (d) pH (4–6).
Figure A2
The total flavonoid content (TFC; mg QE/g FW) in the ethanolic extracts plotted as a function of the pH (4–6) and individual enzyme concentration (5–15 IU), (a) cellulase, (b) pectinase, (c) laccase. The color scale indicates significance of the analysis of variance for the Taguchi method (n = 3, p > 0.05).
For the following DOE, three cocktails were formulated based on the results of DOE I with laccase, cellulase, and pectinase at respective proportions: 1:1:1 (LCP), 1:1:2 (LCPP), and 0:1:2 (CPP).
The total phenolic content (TPC; mg GAE/g FW) in ethanolic extracts plotted as a function of the (a) enzymatic mix with laccase, cellulose, and pectinase at proportions of 1:1:1 (LCP), 1:1:2 (LCPP), and 0:1:2 (CPP), (b) pH (4–6), (c) temperature (30–50 °C), and d) time (0.5–2.5 h).
The antioxidant activity (AA) of the extracts subsequently obtained from the hydrolysis performed according to the different DOE showed that all factors had a significant impact (Figure 8). Decreasing pH levels positively influenced the AA of all enzymatic treatments (Figure 8a). The temperature did not impact the AA in the treatment with a formulated enzymatic cocktail but significantly affected when using commercial mixtures (Figure 8b). Finally, the AA increased with time of hydrolysis except in the control treatment (Figure 8c).
In general, the highest AA was provided by 2.5 h of enzymatic hydrolysis at pH 4 and a temperature up to 40 °C using Ultraflo(c), followed by Viscozyme and LCP (Table A4 and Figure 8). The free radical scavenging capacity of the extracts obtained from processed bagasse reached the highest value using a commercial cocktail from Novozymes®, reaching 39.32 ± 5.07 %I (Ultraflo) and 37.86 ± 6.39 %I (Viscozyme). According to the formulated mixture treatment, there was no difference, which resulted in an AA of 31.13 ± 12.93 %I (LCP) and 32.43 ± 2.44 %I (CP). Furthermore, LCP and CP processing did not significantly modulate the AA compared to control conditions (30.59 ± 0.48 %I DPPH) (Figure 9).
Randomly generated Taguchi L9 orthogonal array for the experiment design with four variables and three factors: pH and concentrations of laccase, cellulase, and pectinase in IU.
Taguchi L9
pH
Laccase (UI)
Cellulase (UI)
Pectinase (UI)
Pattern
1
4
5
5
5
−−−−
2
4
10
10
10
−000
3
4
15
15
15
−+++
4
5
5
10
15
0−0+
5
5
10
15
5
00+−
6
5
15
5
10
0+−0
7
6
5
15
10
+−+0
8
6
10
5
15
+0−+
9
6
15
10
5
++0−
Table A2
Randomly generated Taguchi L9 orthogonal array for the experiment design with four variables and three factors: pH, the proportion of laccase, cellulase, and pectinase in the mix, temperature, and incubation time.
Taguchi L9
pH
Ratio L:C:P (UI)
Temp (°C)
Time (h)
Pattern
11
4
0:5:10
30
0.5
−−−−
12
4
5:5:10
40
1.5
−000
13
4
5:5:5
50
2.5
−+++
14
5
0:5:10
40
2.5
0−0+
15
5
5:5:10
50
0.5
00+−
16
5
5:5:5
30
1.5
0+−0
17
6
0:5:10
50
1.5
+−+0
18
6
5:5:10
30
2.5
+0−+
19
6
5:5:5
40
0.5
++0−
Table A3
Randomly generated Taguchi L8 orthogonal array for the experiment design with four variables and two factors: commercial mix, pH, temperature, and incubation time.
The extraction yield, total phenolic content (TPC), total flavonoid content (TFC), antioxidant activity (AA), and specific flavonoid concentrations in ethanolic extracts obtained from unprocessed and processed bagasse of Agave lechuguilla.
Unprocessed
Processed
Mean
SD
Mean
SD
Yield (% DW)
31.65 ± 1.65
35.53 ± 1.72
*
TPC (mg GAE/g DW)
12.81 ± 0.73
15.06 ± 1.21
*
TFC (mg QE/g DW)
6.41 ± 1.02
7.06 ± 0.98
AA (%I DPPH)
35.59 ± 2.68
41.31 ± 2.14
*
Flavonoids (µg/g DW)
Flavanone
194.120 ± 5.180
147.238 ± 5.390
*
Isorhamnetin
864.350 ± 7.700
752.796 ± 2.908
*
Catechin
3.340 ± 1.600
4.377 ± 0.500
Cyanidin
6.590 ± 1.190
10.481 ± 2.605
*
Delphinidin
10.880 ± 0.990
21.549 ± 3.794
*
Hesperidin
3.720 ± 0.200
4.690 ± 0.187
*
Quercetin
13.620 ± 0.380
13.481 ± 0.318
Apigenin
8.240 ± 0.600
3.252 ± 0.608
*
Kaempferol
12.960 ± 0.310
13.482 ± 0.311
Naringenin
1.500 ± 0.110
1.682 ± 0.111
* Indicates significant difference between treatments (ANOVA, n = 3, p < 0.05).
3. Discussion
Developing a sustainable biorefinery system for the integral use of A. lechuguilla renewable lignocellulosic feedstock was designed. However, optimizing the management and use of the resource is necessary, specifically in early steps of the bioprocess, to ensure the quality of the derived products. The effects of the drying processes and enzymatic hydrolysis on retrieving the phenolic compound as an added-value co-product of the A. lechuguilla bagasse is discussed based on the results and proposed from a biorefining perspective.
3.1. Drying Process
Drying is crucial in the post-harvest management of plant material to recover phenolic compounds; it allows rapid protection against microbial attacks and chemical alteration due to inner processes, such as oxidation and enzymatic reactions [60,61]. Although the effects of the drying process on health-promoting compounds in foods have been extensively studied, little is known about the impact on agro-industrial waste, such as agave bagasse. Freeze-drying methods are widely accepted as methods that allow for the greater preservation of high-value phytochemicals [62].However, implementing the technology to treat the 150,000 tons of A. lechuguilla bagasse produced annually is not viable due to the high operating costs. That is why oven-drying and sun-drying procedures were compared to freeze-drying to study the impact of such processes on the chemical and biological properties of the A. lechuguilla agro-waste. Sun-drying is commonly used for medicinal plants, although, because the parameters cannot be controlled, the heterogeneity in the quality of derived products has been highlighted [63]. Oven-drying was chosen as a scalable method allowing fast drying at a controlled temperature [64] set at 40 °C to ensure flavonoid stability [62].The results showed that oven-dried bagasse presented similar extraction yields to the freeze-dried biomass. The extraction yield from oven-dehydrated and sun-dried material was not significantly different (Figure 1). In contrast to the extraction yields, exposure to light affected the total phenolic content, which was lower for sun-dried and freeze-dried with light. In addition, oven dehydration ensured the same range of TPC as the freeze-drying process (Figure 2). A higher TPC in air-dried than in freeze-dried material was previously attributed to the release of phenolic acid and flavonoids from the plant matrix due to heat [61].In contrast, freeze-drying in the dark obtained the highest total flavonoid concentration, and no difference could be found among the three other treatments (Figure 2). The effect of light on TFC could not be demonstrated, although the impact of sunlight was inferred by the twice-higher TFC in the extracts obtained from LD compared with S dried bagasse (Figure 2), which concurs with the UV-sensitivity of flavonoids reported in other plant material, such as berries [62] and medicinal herbs [65].This fact is further supported by the verified impact of UV-C on the flavonoid content of Agave tequilana extracts. A previous study reported that the 85 °C temperature had more impact on the TFC of A. tequilana extracts than the light exposure [49]. In comparison, the lower temperature used for oven dehydration (40 °C) appears to preserve thermal-sensitive flavonoids in the A. lechuguilla bagasse. The similar TPC and TFC exhibited by ethanolic extracts of Agave fourcroydes oven-dried at a higher temperature (60 °C) [47] support this statement.The different drying methods significantly influenced the content of individual flavonoids. Light exposure drastically decreased the anthocyanins content (Table 1), likely due to their particular vulnerability to chemical reactions involving enzymes, light, and oxygen, leading to leakage of components [60,62,64]. In this respect, Leong et al. [52] reported the use of dim light to properly preserve the betacyanins from red-purple pitaya. Similarly, the lowest glycosyl flavonol and flavanone concentrations were found in the sun-dried biomass (Table 1).This fact is coherent with the decrease of glycoside flavonoid content observed in full sunlight exposed leaves [65]. In contrast, the constant flavanol and flavanone contents in A. lechuguilla bagasse, according to the drying procedure (Table 1), reflected their stability as previously observed in air-dried berries [62]. Finally, the variation of the free-radical scavenging capacity of the extracts was similar to the TPC variation, and the highest inhibition values were obtained from bagasse dried in the dark (Figure 3).These results contrast the usual conclusions about lower AA with freeze-drying than oven-drying [62,64]. To sum up, TPC, the individual concentration of glycosyl flavonoids and anthocyanins, and the antioxidant capacity of the extracts were increased in the A. lechuguilla bagasse dried in an oven at 40 °C in the dark compared to freeze-drying. Therefore, oven-drying appeared to be the most efficient process to preserve the chemical and biological properties of A. lechuguilla bagasse.
Agave lechuguilla bagasse was obtained in August 2018 from the Ejido Cosme, Ramos Arizpe, Coahuila (GPS: 25°52′03.6″ N; 101°19′51.1″ W). Gatherers collected stem leaves according to Mexico’s Official Standards for central stem harvesting and land shifts (NOM-008-SEMARNAT-1996) [13] and recovered the fiber through a mechanical process that generates pulpous residue, which was immediately harvested and cryopreserved at −80 °C.
4.2. Drying Procedure
Four drying methods were applied, each one on 500 g of fresh bagasse to evaluate the effect of light and temperature on flavonoid content. As the most efficient laboratory-scale method, freeze-drying was performed for 48 h at −49 °C under a vacuum (Labconco equipment, Kansas City, MO, USA) in the dark (LD) and artificial light (LL). In addition, scalable alternative methods were tested, sun drying (S) (as this can occur at the harvest sites) (35 ± 5 °C), and dehydration at 40 °C in the dark (D) (Koleff-KL10 tray convection oven, Queretaro, QRO, Mexico), both for about 24 h, until reaching a <10% (w/w) moisture content.The moisture content was estimated by the weight difference, calculated by burning 500 mg of dehydrated material at 120 °C for 15 min (Thermobalance MB45, OHAUS, Mexico City, Mexico). The dry material was milled into 2 mm particle size powder (Retsch-SM100 Industrial Mill, Retsch Co., Haan, Germany) and stored at room temperature, preventing exposure to light, oxygen, and moisture until the phytochemical extractions were performed.
The optimal hydrolysis parameters were verified by reproducing the enzymatic digestion of 50 g of oven-dried A. lechuguilla bagasse. The dry powder was placed in a 1 L flask with 500 mL of phosphate buffer (0.1 M) at pH 4. Incubation occurred in the dark at 40 °C, 180 rpm for 2.5 h. The enzymatic mix Ultraflo (liquid) was added at a ratio of 3.31 µL/g of biomass.The whole flask content was transferred to layered trays and dried at 40 °C in the dark for 24 h. The dried hydrolyzed material was stored at room temperature, preventing light, oxygen, and moisture exposure until the phytochemical extraction.
4.4. Ultrasound-Assisted Extraction
The phytochemicals were obtained by Ultrasound-Assisted Extraction (UAE) from the dried and powdered residue homogenized with ethanol/water (70/30, v/v) using a proportion of 1/10 (w/v). The UAE was performed three consecutive times for 45 min, 80.0 Hz, and 40 °C, collecting and changing the solvent between each incubation. The supernatants were pooled, filtered at 0.22 µm (Whatman™ Uniflow™ Syringe Filters), and concentrated at 60 °C through vacuum rotary evaporation (IKA, Wilmington, NC, USA). The extracted phytochemicals were solubilized again in distilled water, frozen at −80 °C, and freeze-dried (−49 °C, 0.080 Pa) (Labconco Equipment) for 24 to 48 h, depending on the obtained volume. Finally, the extraction yields were determined for each triplicate of ethanolic extracts (EtOH) and reported as the dry basis or fresh weight according to the moisture content of the initial biomass.
4.5. Phytochemicals Profiling
4.5.1. Preparation of Extracts
For the total polyphenol content (TPC), total flavonoid content (TFC) determination, and free radical scavenging assay, 10 mg of each triplicate recovered of ethanolic extracts was solubilized in distilled water to reach a 10 mg/mL concentration. Dilutions were prepared at 2, 1, and 0.5 mg/mL.For HPLC-UV-MS analyses, ethanolic and methanolic extracts were dissolved at 1 mg/mL in methanol/water (50/50, v/v), HPLC grade solvents (Fermont, Mexico, www.pqm.com.mx, accessed on 3 November 2021) and filtered thought Whatman 0.45 µm nylon filters.
4.5.2. Total Phenolic and Flavonoid Contents
The extracts’ total phenolic content (TPC) was estimated according to the adapted microplate protocol from Singleton and Rossi [81]. Briefly, 20 µL of extract and negative and positive controls were placed in a 96-well flat-bottom plate, and 10 µL of Folin-Ciocalteu reagent (Sigma-Aldrich, Mexico) was added, followed by 40 µL of Na2CO3 at 200 g/L and 130 µL of distilled water. After incubating 30 min at 40 °C in the dark, the optical density was read at 735 nm by the Epoch microplate reader (Biotek Instruments, Winooski, VT, USA). The phenol concentrations were obtained in milligrams of gallic acid equivalent (GAE) by reference to the standard curve (y = 0.0057x +0.0023, R² = 0.9997) and reported per gram of fresh weight (g FW) considering the moisture content.The extract’s total flavonoid content (TFC) was determined by applying the aluminum chloride method [82] adapted to the microplate. In brief, 20 µL of extracts and negative and positive controls, 7.5 µL of NaNO2 at 5%, 30 µL of 2.5% AlCl3 (Jalmek, Mexico www.jalmek.com) solution, 50 µL of NaOH at 1 M, and 50 µL of distilled water were deposited in that order into the 96-well flat-bottom plate with 5 min homogenization between each addition. The DO was measured at 500 nm by the Epoch microplate reader (Biotek Instruments). The flavonoid concentrations were estimated in milligrams quercetin equivalent by reference to the standard curve (y = 0.0009x +0.0451, R² = 0.9928) and reported per gram of fresh weight (mg QE/g FW).
4.5.3. HPLC-UV-MS/MS
The quantification of apigenin, catechin, cyanidin, delphinidin, flavanone, hesperidin, and isorhamnetin in the ethanolic extracts was achieved using flavonoid analytical standards (Sigma-Aldrich) as reported by Morreeuw et al. [40].Reverse phase high-performance liquid chromatography (RP-HPLC) analysis was performed according to Mendez-Flores et al. [83] on a Varian HPLC system (Agilent Technologies, Santa Clara, CA, USA), including an autosampler (Varian ProStar 410, Agilent Technologies), a ternary pump (Varian ProStar 230I), and a photodiode array detector (PDA, Varian ProStar 330, USA). Briefly, samples (5 µL) were injected onto a Denali® C18 column (150 mm × 2.1 mm, 3 µm, Grace, Williamsburg, MI, USA) maintained at 30 °C. The mobile phase consisted of formic acid (0.2 %, v/v; solvent A) and acetonitrile (solvent B).The following gradient was applied: initial, 3% B; 0–5 min, 9% B linear; 5–15 min, 16% B linear; and 15–45 min, 50% B linear. The column was then washed and reconditioned. The detection of released compounds was performed through the PDA detector at 280 and 360 nm. The UV spectra were analyzed using Chromatography Workstation Star Toolbar (version 6.30) software from Agilent for the Varian equipment.
4.6. Free-radical Scavenging Capacity
The antioxidant potential of the extracts was estimated by performing a DPPH-radical (2,2-diphenil-1-picrihydrazil, Sigma-Aldrich, Mexico) scavenging assay as described by Brand-Williams et al. [84] and adapted to the microplate. Ethanol and distilled water were used as a negative control. The charged microplates were incubated for 30 min in the dark at room temperature (≤25 °C). The absorbance was measured at 540 nm in an Epoch microplate reader (Biotek Instruments). The antioxidant activity (AA) of the extracts was reported as the percentage of inhibition of the DPPH reactive (% I DPPH = [(Abs control − Abs extract)/Abs control) × 100]).
4.7. Statistical Analysis
To compare the drying treatments, we analyzed the technical and extractive replicates for the global yield, TPC, TFC, quantitative HPLC-UV, and AA data with the Shapiro–Wilk test for normality and the Bartlett test for homoscedasticity. When the two main statistical assumptions of analysis of variance (ANOVA) were verified, ANOVA was run, followed by a Tukey HSD test to determine significant pairwise differences. When normality was not respected, the Kruskal–Wallis test was applied as a non-parametric alternative to ANOVA. All statistical tests were performed with an alpha of 0.05 in the R programing language (R Core Team, 2020) version 4.1.0.The design of the experiment matrix was obtained, and response variables (TPC, TFC, flavonoid profiles, and AA) were preliminarily analyzed and visualized with JMP software (version 5). Deep screening of the effect of each tested factor on response variable was assessed within each DOE and merging all the data of the three DOE to establish the optimal pretreatment conditions. Principal component analysis (PCA) and multifactorial analysis were obtained using R (R Core Team, 2020) version 4.1.0. The highest signal-to-noise (S/N) ratio of the levels of the considered factors in the DOE indicates an optimal level. The level of the response variables and ANOVA for Taguchi method based on the S/N ratio results were plotted using Statistica software (version 8).
Authors: Mariana B Botura; Jener David G dos Santos; Gisele D da Silva; Hélimar G de Lima; João Victor A de Oliveira; Maria Angela O de Almeida; Maria José M Batatinha; Alexsandro Branco Journal: Vet Parasitol Date: 2012-10-23 Impact factor: 2.738
Authors: Kendall R Corbin; Caitlin S Byrt; Stefan Bauer; Seth DeBolt; Don Chambers; Joseph A M Holtum; Ghazwan Karem; Marilyn Henderson; Jelle Lahnstein; Cherie T Beahan; Antony Bacic; Geoffrey B Fincher; Natalie S Betts; Rachel A Burton Journal: PLoS One Date: 2015-08-25 Impact factor: 3.240