Next Article in Journal
“Live-Autoradiography” Technique Reveals Genetic Variation in the Rate of Fe Uptake by Barley Cultivars
Previous Article in Journal
Biochar Addition Alters C: N: P Stoichiometry in Moss Crust-Soil Continuum in Gurbantünggüt Desert
Previous Article in Special Issue
Effect of Traditional Cooking and In Vitro Gastrointestinal Digestion of the Ten Most Consumed Beans from the Fabaceae Family in Thailand on Their Phytochemicals, Antioxidant and Anti-Diabetic Potentials
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Bacterial-Assisted Extraction of Bioactive Compounds from Cauliflower

1
Department of Biology and Biotechnology L. Spallanzani, University of Pavia, 27100 Pavia, Italy
2
Department of Earth and Environmental Sciences, University of Pavia, 27100 Pavia, Italy
*
Author to whom correspondence should be addressed.
Plants 2022, 11(6), 816; https://doi.org/10.3390/plants11060816
Submission received: 11 February 2022 / Revised: 11 March 2022 / Accepted: 17 March 2022 / Published: 18 March 2022
(This article belongs to the Special Issue Sustainable Recovery of Bio-Active Compounds from Fruit and Vegetable)

Abstract

:
The market for nutraceutical molecules is growing at an impressive pace in all Western countries. A convenient source of bioactive compounds is found in vegetable waste products, and their re-use for the recovery of healthy biomolecules would increase the sustainability of the food production system. However, safe, cheap, and sustainable technologies should be applied for the recovery of these beneficial molecules, avoiding the use of toxic organic solvents or expensive equipment. The soil bacterium Bacillus subtilis is naturally endowed with several enzymes targeting complex vegetable polymers. In this work, a raw bacterial culture supernatant was used to assist in the extraction of bioactives using isothermal pressurization cycles. Besides a wild-type Bacillus subtilis strain, a new strain showing increased secretion of cellulases and xylanases, pivotal enzymes for the digestion of the plant cell wall, was also used. Results indicate that the recovery of compounds correlates with the amount of cellulolytic enzymes applied, demonstrating that the pretreatment with non-purified culture broth effectively promotes the release of bioactives from the vegetable matrix. Therefore, this approach is a valid and sustainable procedure for the recovery of bioactive compounds from food waste.

Graphical Abstract

1. Introduction

The agri-food sector generates massive amount of waste that not only causes the loss of market profit but, more importantly, represents a waste of precious environmental resources, such as land, water, fertilizers, chemicals, and energy expended in the production phase [1]. Moreover, organic waste might pose potentially severe pollution problems as it decomposes in landfills, releasing nitrogen and phosphorus in aquatic and terrestrial ecosystems and emitting harmful greenhouse gases [2].
In line with the circular economy concept, fruit and vegetable waste might be turned into a valuable resource as a natural and unlimited supply of biologically active compounds, including vitamins, polyphenols, dietary fibers, glucosinolates, essential oils, and organic acids, among the others, with an enormous economic potential as nutraceutical, pharmaceutical, cosmetic, and agro-pharmaceutical ingredients [3,4]. However, to maintain the green connotation, the recovery of natural bioactive compounds from discarded agro-food materials must rely on methods which (i) do not generate more polluting waste than the disposal of the raw biomass itself, (ii) are safe for the final product, and (iii) guarantee high revenues for the entire value chain [5].
Among the new emerging techniques, Enzyme Assisted Extraction (EAE) of biomolecules represents one of the most environmentally friendly and safe methodologies which can be used either as a stand-alone technique, or as a pretreatment that increases the efficiency of a coupled extraction system [6,7,8]. EAE is based on the fact that enzymes help to weaken or deconstruct the plant cell wall in which most bioactives are entrapped, making encased compounds more accessible for extraction. The most used enzymes for this purpose are hydrolytic enzymes such as cellulases, (endoglucanases, cellobiohydrolases, β-glucosidases), hemicellulases (endoxylanases and β-xylosidases), and pectinases (polygalacturonases, and pectinesterases). Other hydrolysing enzymes (proteases, amylases, pullulanases, pectate lyases, etc.) might further support the release of precious and low-abundant secondary metabolites from cellular components [6,7,8]. However, the use of expensive commercial enzymes would take a prohibitive toll on the entire process, mining the economic viability of the extraction [6,7].
One of the most formidable enzyme-producers is the Gram-positive soil bacterium Bacillus subtilis. B. subtilis is already heavily exploited for the industrial production of several biocommodities, such as degradative enzymes, heterologous proteins, bio insecticides, and antibiotics, and its products are considered as Generally Recognized as Safe (GRAS) [9,10,11]. Its reputation as an industrial pillar is due to its simple nutritional requirements, its excellent fermentation properties over a wide range of conditions, its genetic plasticity, enabling the optimization of its biotechnological performances, and its efficient secretory system, allowing for the recovery of massive amounts of bio-products directly from the growth medium [9,10,11].
B. subtilis lives predominantly in the soil, and this type of habitat has evolutionarily shaped its genome, leading to the accumulation of a large array of genes associated with the ability to degrade complex carbohydrates from decaying vegetable biomass. According to the Carbohydrate-Active Enzymes database [12], the bacterium is endowed with several genes encoding secreted enzymes involved in complex carbohydrates and lignocellulose degradation [13]. Moreover, it also encodes several proteases and many other hydrolytic enzymes [11,14]. Thanks to the above-mentioned characteristics, B. subtilis spent growth medium represents an inexpensive, rich, and wide-range collection of GRAS enzymatic activities, ideally suited to break down the plant matrix and improve the release of bioactives.
The aim of this work was to evaluate the efficacy of a method for the sustainable extraction of bioactive compounds from vegetable waste based on a low-cost EAE pretreatment. The economic viability of the procedure relied on the use of crude B. subtilis culture supernatants, obtained from a wild-type (WT) strain and from a new B. subtilis strain, overproducing cellulases and xylanases (OS58). The sustainability of the process was maintained by carrying out the extraction process in an aqueous environment, avoiding the use of any polluting solvent. The substrate, cauliflower (Brassica oleracea L. conv. botrytis (L.) Alef. var. botrytis L.), rich in phytochemicals endowed with a large range of beneficial biological activities, derived from the quota of raw products that did not meet the qualitative standards for commercialization and were discarded by an industrial agro-food processing plant.

2. Results

2.1. Bacillus subtilis Enzymes and Pretreatment

To evaluate the effectiveness of the low-cost enzymatic pretreatment, two B. subtilis strains were used. The WT strain corresponded to the commonly used lab strain JH642 [15] in which the tryptophan and phenylalanine auxotrophies were cured and prototrophy restored. The second strain, namely OS58, was obtained by improving the intrinsic cellulolytic and hemicellulolytic propensity of B. subtilis through genetic engineering of the WT strain. The cellulases and xylanases activities released in the growth medium by the two strains were determined after 24 h incubation. The optimization process led to a drastic enhancement in enzyme secretion. As shown in Figure 1, the enzymatic units found in OS58 culture broth increased by over 30-fold for cellulases and 3-fold for xylanases compared to those released by the WT strain. These enzymes are supposedly playing a pivotal role in vegetable matrix breakdown, although a plethora of additional enzymes, which B. subtilis is known to secrete, might contribute to the final effect on the substrate [16].

2.2. Recovery of Phenolic Compounds

In order to verify whether the crude enzymatic mixture released by the bacterial strains represented an effective pretreatment for improving the extraction of bioactive compounds, cauliflowers discarded from the food supply chain were collected from an industrial processing plant during different seasonal periods. The biomass, originated from different regions across Italy, was treated according to a standardized protocol. The processing began with the grinding of thawed cauliflowers into 0.2–0.5 cm3 pieces. The fragmented material was incubated at 50 °C with culture supernatants from either the WT strain, OS58, or the sterile growth medium, which was used as a negative control for the treatment. Subsequently, each mash was subjected to 60 cycles of pressurization at room temperature (20°–23 °C) for the extraction of bioactive compounds. Part of the liquid flow, collected from the apparatus after each extraction, was dried and resuspended in 50% methanol for the analyses of the nutraceutical compounds.
Important differences in the content of bioactives were observed among the four replicates, which were performed on different stocks of cauliflowers; such differences are presumably linked to seasonal effects and the geographical origins of the vegetable material. For this reason, the correlation among replicates was estimated by including the variable “replicate” as a random effect in the statistical model (see Materials and Methods).
The total polyphenols recovered under the three conditions demonstrated that the enzymatic treatment improved the extraction efficiency (Figure 2 and Table 1). In particular, the polyphenols recovered upon treatment with the WT strain increased by 1.3-fold with respect to the control (p < 0.1, weak significance); however, the recovery further increased (by 1.4-fold with respect to the control, p < 0.05) when the treatment was performed with the optimized strain OS58, which is a better enzyme producer (Figure 2). The progressive increase in the recovery of polyphenols, observed by comparing the control, the WT, and the OS58 treatment, respectively (Table 1), suggests that the beneficial effect of the bacterial supernatants might be linked to the progressively higher amount of enzymes produced by the two strains.

2.2.1. Catechins

The analysis of polyphenols was further deepened for the group of catechins. The HPLC profile for these compounds was evaluated in the treatment and control groups, revealing a significant improvement in their recovery, even with the WT strain (Figure 3). With respect to the control, the WT enzymes allowed the extraction of 2-fold more epigallocatechin gallate, 1.8-fold more epicatechin, and 1.3-fold more epicatechin gallate (Table 1). As observed for polyphenols in general, in all but the last case, the effect of the bacterial pretreatment appeared stronger with the optimized OS58 strain, where the yield with respect to the control raised by 2.8-fold for epigallocatechin gallate and by 2.4-fold for epicatechin, reinforcing the hypothesized link between the effect on the extraction efficiency and the amount of secreted enzymes. Conversely, the recovery of epicatechin gallate upon OS58 treatment (1.2-fold increase) was slightly lower than that obtained with the WT strain (1.3-fold higher than the control).

2.2.2. Chlorogenic Acid

For the phenolic acids class of polyphenols, the recovery of chlorogenic acid was examined in detail in the three different extracts. As shown in Figure 4 and Table 1, the enzymatic treatment appeared to be extremely efficient in releasing the compound from the matrix. The enzymes produced by the WT strain were able to release 2-fold more chlorogenic acid than the control treatment, while following the treatment with the OS58 enzymatic pool, the recovery of chlorogenic acid was 2.9-fold higher with respect to the untreated control, validating the effectiveness of the enzymatic treatment. It is worth noticing that, for this compound, the difference between the OS58 strain and the WT achieved a 95% statistical significance (p = 0.019), corroborating the hypothesis that the effect is indeed due to higher amount of enzymes released by the optimized strain.

2.3. Recovery of Sulphur-Containing Plant Secondary Metabolites

Isothiocyanates

For this class of compounds, the yields were below our expectations. Only within the OS58-treated group, a very modest increase in the recovery (1.3-fold) was observed (Figure 5 and Table 1), which, however, did not reach high statistical significance (p = 0.082). The reasons for these results are discussed below.

3. Discussion and Conclusions

Enzymatic pretreatments have been shown to favorably impact the extraction of valuable compounds from different vegetable sources in a green and sustainable manner [6,7,8,18]. The extraction of lycopene from tomato waste resulted 3-fold higher in enzyme-treated matrices with respect to untreated controls [19], while the phenolic content released from grape waste increased by more than 25%, with respect to the control [20]. In this work, a new Bacillus subtilis strain (OS58), with optimized production of at least two enzymes relevant for EAE (cellulases and xylanases), was developed and applied as a pretreatment before cyclic pressurization extraction for the recovery of valuable secondary metabolites from cauliflower. The performance of OS58 was compared to that of a WT B. subtilis strain and a control containing the sterile bacterial growth medium.
The recovery of polyphenols, and in particular, of chlorogenic acid and catechins (epigallo catechin gallate, epicatechin, and epicatechin gallate), was enhanced by the pretreatment procedure using the enzymatic mixture derived from the WT strain, and in all cases but one, it further improved with the enzymatic mixture derived from the optimized OS58 strain, demonstrating that the efficiency of the extraction was proportional to the enzymatic activity applied (Table 1). It is worth recalling that no organic solvents were used, avoiding the generation of toxic or polluting waste and preserving the green character of the extraction. Concurrently, the choice of applying a raw culture supernatant of a cellulolytic bacterium such as B. subtilis, avoiding expensive commercial enzymes, is a cost-effective strategy that guarantees the economic viability of the process. Moreover, being a soil microorganism, B. subtilis grows efficiently over a wide range of conditions and media and can even be fed with agro-industrial waste [21]. Bacillus subtilis is ideally suited to industrial applications for the above-mentioned characteristics, and because it secretes many different enzymes directly in the medium, simplifying their recovery [9,10,13,16]; it is also considered a Plant Growth-Promoting Bacterium (PGPB), shown to exert several beneficial effects both on plants and on soil quality [11,22]. For the above reasons, the entire process might be conceived as part of a complex biorefinery which includes: (i) agricultural production of vegetables and their processing before commercialization, (ii) recovery of natural bioactive compounds from vegetable waste, (iii) the use of part of this waste as feedstock for bacterial enzyme production, supporting the compounds’ extraction procedure, (iv-a) application of the post-extraction biomass on agricultural fields to enhance productivity, and (iv-b) alternatively, the post-extraction biomass waste can be used for clean energy production. Indeed, with the introduction of steps iv-a or iv-b, the entire process would be in compliance with the principles of circular economy.
The sustainability of the extraction procedure described here is further enhanced by the fact that the vegetable material used was a waste generated from a real agri-food supply chain because it simply did not meet the aesthetic quality standard requirements for large-scale retail channels. Cauliflowers from this source were collected over three different seasons (spring, summer, and early autumn 2021), and originated from farms located in different geographical areas in Italy. It is known that the content of several secondary metabolites in fruits and vegetables is strongly dependent on several parameters, such as specific cultivar, seasonal harvesting time, cultivation site, endogenous circadian rhythms, and soil and pest-control strategies [23,24,25,26]. Moreover, during the wheeled transport to the processing warehouse, the produce reached different maturation stages, also related to seasonal conditions. The uncontrolled origin of the experimental material granted it an intrinsic heterogeneity that could not be overcome. These variables heavily impact the composition and overall content of the bioactive compounds of vegetables and are partly responsible for the low statistical significance of some of the data.
Moreover, the solubilisation, and thus, the extraction efficiency, of some compounds occurs in polar organic solvents, which were not used in this work. For example, isothiocyanates, relevant anticancer compounds abundantly present in Brassicaceae [27], are usually extracted from fresh material using organic solvents, and even in those cases, with extremely variable returns, as reported in the literature [28,29,30]. In general, however, organic solvents guarantee much higher yields with respect to those reported in this work (Table 1). Only Wang et al. [31] reported a low content of isothiocyanates (0.023 µmol/g) in raw cauliflowers extracted using the cooking water. This value is slightly lower than the result obtained in this work, corresponding to 0.027 µmol/g (considering the Mw of 1,3-Benzodithiole-2-thione as 1843 g/mol). Indeed, in our laboratory, by using methanol, isothiocyanates could be recovered from the frozen material 5-fold more efficiently than through the sustainable procedure herein described, with or without the enzymatic pretreatment (Doria E., unpublished data). Nevertheless, the extraction procedure might require further adjustments for some classes of compounds. For instance, the prolonged defrosting process (48 h) carried out at room temperature (20 °C–23 °C), might compromise the recovery of highly volatile and intrinsically unstable bioactive molecules.
It is important to highlight that, as opposed to most of the literature data, this work was carried out on a pilot scale, using 5 kg of raw material for each sample and for each of the four experimental replicates. To our knowledge there are no previous reports on such large-scale extractions.
In conclusion, the OS58-based sustainable extraction procedure was demonstrated to be more effective than the WT strain-based extraction in the recovery of bioactives from Brassica oleracea L. conv. botrytis (L.) Alef. var. botrytis L.; the unpurified bacterial enzymes notably improved the retrieval of valuable phytochemicals from the matrix in a concentration-dependent manner. The applicability of the promising sustainable enzymatic pretreatment, coupled with solid-liquid extraction at high pressure, is currently being tested on raw vegetable materials with different structural characteristics and bioactives composition, to validate the applicability of raw enzymatic mixtures for nutraceuticals recovery.

4. Materials and Methods

4.1. Bacterial Strains

Bacillus subtilis strains used in this study are a WT strain and its derivative, OS58. The WT derives from PB5249, a swrA+ spontaneous derivative [32] of the auxotrophic trpC2 pheA1 strain JH642 (GenBank accession no. CM000489.1) [15], which was sequentially transformed with the PCR products of the trpC and pheA genes, obtained from the genomic DNA of the wild NCIB 3610 strain (GenBank accession no. CP020102.1). Amplifications of the trpC and pheA genes were performed using the primer pairs trpC_Up 5′-AGTGAAAACACTGGTTCTGCCG-3′ and trpC_Dw 5′-GATGGATTGCTTTACGCTGAGAAG-3′ followed by pheA_Up 5′-AACAGCCTTTGCCAATCGTGGG-3′ and pheA_Dw 5′-GTATACATGGATGCAGCCGCTCAG-3′, respectively. For the first transformation, the selection of the trpC+ prototroph occurred on minimal medium containing 1.5% agar, 1 mg/mL glucose and phenylalanine (50 µg/mL). Subsequently, pheA+ transformants were selected on minimal medium without amino acids.
OS58 was obtained from the WT strain by genetic engineering. A patent application is under preparation for this strain; for this reason, the details of the engineering design are undisclosed herein.

4.2. Bacterial Growth

For cellulase and xylanase production, B. subtilis WT and OS89 spores were revitalized on LB (Difco Laboratories, New York, NY, USA) 1.5% agar plates and incubated overnight at 37 °C. Isolated colonies were inoculated in Antibiotic Medium 3 (Difco Laboratories) containing 5 mg/mL glucose and grown 16 h at 37 °C with shaking. In the same medium, a second pre-inoculum was set at optical density of 600 nm (OD600) 0.2 and grown for 6 h at 37 °C with shaking. The synthetic medium CMD (containing, per liter: 13.67 g Na citrate; 10 g glucose; 7 g NH4Cl; 0.5 g MgSO4·7H2O; 0.5 g K2HPO4; 0.15 g CaCl2·2H2O; 0.104 g MnSO4·H2O; 0.04 g FeCl6H2O; pH6.5) was inoculated at OD600 0.2 and grown for 24 h at 37 °C with 150 rpm orbital shaking. Bacterial growth was followed by OD600 readings. Culture supernatant was collected after 40′ centrifugation at room temperature at 2268× g. The spent medium (500 mL) was immediately used for the maceration of 5 kg-smashed cauliflowers.

4.3. Cellulase and Xylanase Activity Assays

Cellulase (endo-1,4-β-glucanase; EC 3.2.1.4) and endo-xylanase (endo-1,4-β-xylanase; EC 3.2.1.8) activities were assayed in an aliquot of the culture supernatants after acidification, as previously described [33], using CellG3 and XylX6 Assay Kits (Megazyme®), following the protocol provided by the manufacturer.

4.4. Plant Material

Fresh cauliflowers (Brassica oleracea L. conv. botrytis (L.) Alef. var. botrytis L.) were obtained, during spring, summer, and autumn 2021, from a food processing plant that collects vegetables from farms located in southern and northern Italy. The fresh material was weighted, aliquoted, and stored at −45 °C ± 1 °C (monitored by a datalogger, Testo 184 T4, Liebherr) for over one month. For each treatment (including controls) and for each of the four experimental replicate, aliquots of 5 kg each (fresh weight before freezing) were thawed at room temperature for 2 days. After draining the residual water, each whole cauliflower, including flowers, leaves and stems, was cut into four parts and ground using an industrial mill (M100, Enoitalia s.r.l., Florence, Italy); the material was completely shattered into small pieces (0.5–1.0 cm in diameter) for subsequent processing. The set of extraction experiments (conducted with the supernatant of the WT strain, the OS58 supernatant, or the sterile medium as a control) was independently carried out four times, on four different lots of cauliflowers.

4.5. EAE Pretreatment Procedure of the Cauliflower Waste Material

To 5 kg of fresh material, ground as previously described, 500 mL of bacterial culture supernatant was added, and the final volume was brought to 5 L with water. The suspension was acidified with 85% phosphoric acid to pH 5.0 and was incubated for 16 h at 50 °C with 40 rpm orbital shaking (LOM-7450 Incubator, MRC, London, UK). For each of the four replicates, the material was incubated with 500 mL of sterile CMD instead of the spent medium, as a negative control.

4.6. Extraction Process

An isothermal cyclically pressurized extraction process (rapid solid–liquid dynamic extraction) was applied to pretreated cauliflowers using the Naviglio mechanical extractor (Nuova Estrazione, Naples, Italy). The principle is based on cyclic compression and decompression phases that exert a suction effect on extractable compounds present in the vegetable matrix [34]. The solid material was placed into a 50 μm-filtering membrane bag, inserted together with the maceration liquid, into the pressure gradient cylinder that was then filled with deionized water, up to a total volume of 35 L. Each extraction cycle consisted of a 3 min static phase, followed by a 2 min dynamic phase; the number of cycles was 60, for a total time of 5 h. At the end of the extraction, the bag with the solid residue was removed and squeezed, and the aqueous liquid was recovered in a tank. One liter of the collected extract was dried using a rotary evaporator (Rotavapor System R-300, Büchi Labortechnik AG, Flawil, Switzerland); the solid residue was suspended in 50% methanol and filtered using 0.22 µm nylon filter before analyses.

4.7. Total Polyphenol Content

The total content of polyphenols was measured using the Total Polyphenols Colorimetric Assay Kit (Steroglass, Perugia, Italy) according to the manufacturer’s instructions. Absorbance was measured at 725 nm and results were expressed in gallic acid equivalents using a gallic acid standard curve.

4.8. Catechins and Chlorogenic Acid HPLC Analyses

A 20-µL aliquot of the filtered sample was injected into the HPLC pump (Kontron 420; Kontron Instruments, Munich, Germany) equipped with a C18 column (ZORBAX ODS 250 × 4.6 mm column, 5 µm particle size, Sepachrom, Milan, Italy). For catechins and chlorogenic acid, HPLC analyses were performed with a 0.8 mL/min flow rate and setting the detector at 280 nm; the mobile phases consisted in 5% acetic acid (A) and pure methanol (B), and the chromatographic gradient conditions are summarized in Table 2:

4.9. Isothiocyanates HPLC Analyses

Isothiocyanates were analyzed by HPLC after cyclocondensation, according to the protocol described by Tang et al. [28], with modification. For each sample, an aliquot of 250 µL of extract was mixed with 250 µL of 100 mM potassium phosphate buffer (pH 8.5) and 500 µL of 10 mM 1,2-benzenedithiol in methanol. The reaction mixture was incubated for 2 h at 65 °C and then cooled at room temperature. The mixture was centrifuged at low speed and finally filtered with a 0.22 µm nylon filter before being injected into the HPLC. In this process, 1,2-benzenedithiol reacts with the carbon atom of the –N = C = S group of isothiocyanates to form a five-membered 1,3-benzodithiole-2-thione and the corresponding amine. Using RP-HPLC with an isocratic mobile phase of 80%methanol, a flow rate of 1 mL/min, at 40 °C and UV 365 nm, 1,3-benzodithiole-2-thione can be eluted, providing an analytical measure of the total isothiocyanates present [35]. Different concentrations of allyl-isothiocyanate were used as standards for the calibration curve.

4.10. Statistical Analysis

The variation in the amount of the compound extracted among the three experimental conditions, considered as response variable, was explored by using a series of linear mixed models (LMMS). Each model had a common fixed effect, represented by the experimental treatment adopted (factor with three levels: control, WT, OS58), and a common random effect (random intercept) represented by the different samples of organic matter (i.e., replicates). The estimated means, related confidence intervals, and planned comparison among treatments were computed using the emmeans and contrast functions of the emmeans package (version 1.7.2) [17]. All model assumptions were explored by checking residuals distribution against fitted values (Tukey–Anscombe plot) and residual normality against theoretical normal distribution (quantile-quantile plot). Percentual changes with respect to the control were obtained from the raw data.
All statistical analyses were performed in R (R Core Team, 2021. R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria) [36].

Author Contributions

Conceptualization, E.D., D.B. and C.C.; methodology, E.D., C.C., A.M. and V.B.; software, A.G. and D.B.; validation, E.D., D.B. and C.C.; formal analysis, A.M. and V.B.; investigation, A.M. and V.B.; data curation, A.G., C.C. and D.B.; original draft preparation, E.D. and C.C.; review and editing, C.C. and D.B.; visualization, M.V. and M.D.; supervision, E.D. and C.C.; project administration, D.B.; funding acquisition, D.B. All authors have read and agreed to the published version of the manuscript.

Funding

This study was supported and funded by Fondazione Cariplo, grant n. 2018-1011, Circular Economy 2018, grant n. 2015-0400, Biotechnology 2015, and by the Italian Ministry of Education, University and Research (MIUR): Dipartimenti di Eccellenza Program (2018–2022), Department of Biology and Biotechnology “L. Spallanzani,” University of Pavia.

Data Availability Statement

The data presented in this study are available on request from the corresponding author. The data are not publicly available due to the privacy statement in the original project.

Acknowledgments

The authors would like to thank AOP UNOLOMBARDIA sac a rl, Italy, and Ambrogio De Ponti, for providing the raw materials.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Springmann, M.; Clark, M.; Mason-D’Croz, D.; Wiebe, K.; Bodirsky, B.L.; Lassaletta, L.; De Vries, W.; Vermeulen, S.J.; Herrero, M.; Carlson, K.M.; et al. Options for keeping the food system within environmental limits. Nature 2018, 562, 519–525. [Google Scholar] [CrossRef] [PubMed]
  2. Vilariño, M.V.; Franco, C.; Quarrington, C. Food loss and Waste Reduction as an Integral Part of a Circular Economy. Front. Environ. Sci. 2017, 5, 21. [Google Scholar] [CrossRef] [Green Version]
  3. Wadhwa, M.; Bakshi, M.P.S. Utilization of Fruit and Vegetable Wastes as Livestock Feed and as Substrates for Generation of Other Value-Added Products; RAP Publication, FAO: Rome, Italy, 2013; pp. 1–59. Available online: https://www.fao.org/3/i3273e/i3273e.pdf (accessed on 7 February 2022).
  4. Kumar, K.; Yadav, A.N.; Kumar, V.; Vyas, P.; Dhaliwal, H.S. Food waste: A potential bioresource for extraction of nutraceuticals and bioactive compounds. Bioresour. Bioprocess. 2017, 4, 18. [Google Scholar] [CrossRef] [Green Version]
  5. Galanakis, C.M. Food Waste Recovery: Processing Technologies and Industrial Techniques; Elsevier: New York, NY, USA, 2015; pp. 381–392. [Google Scholar]
  6. Puri, M.; Sharma, D.; Barrow, C.J. Enzyme-assisted extraction of bioactives from plants. Trends Biotechnol. 2012, 30, 37–44. [Google Scholar] [CrossRef] [PubMed]
  7. Marathe, S.J.; Jadhav, S.B.; Bankar, S.B.; Singhal, R.S. Enzyme-Assisted Extraction of Bioactives. In Food Bioactives; Puri, M., Ed.; Springer: Cham, Switzerland, 2017; pp. 171–201. [Google Scholar] [CrossRef]
  8. Nadar, S.; Rao, P.; Rathod, V.K. Enzyme assisted extraction of biomolecules as an approach to novel extraction technology: A review. Food Res. Int. 2018, 108, 309–330. [Google Scholar] [CrossRef]
  9. Schallmey, M.; Singh, A.; Ward, O.P. Developments in the use of Bacillus species for industrial production. Can. J. Microbiol. 2004, 50, 1–17. [Google Scholar] [CrossRef]
  10. Cui, W.; Han, L.; Suo, F.; Liu, Z.; Zhou, L.; Zhou, Z. Exploitation of Bacillus subtilis as a robust workhorse for production of heterologous proteins and beyond. World J. Microbiol. Biotechnol. 2018, 34, 145. [Google Scholar] [CrossRef]
  11. Su, Y.; Liu, C.; Fang, H.; Zhang, D. Bacillus subtilis: A universal cell factory for industry, agriculture, biomaterials and medicine. Microb. Cell Factories 2020, 19, 173. [Google Scholar] [CrossRef]
  12. CAZy Carbohydrate Active enZYmes. Available online: http://www.cazy.org/b67.html (accessed on 7 February 2022).
  13. Van Dijl, J.M.; Hecker, M. Bacillus subtilis: From soil bacterium to super-secreting cell factory. Microb. Cell Factories 2013, 12, 3. [Google Scholar] [CrossRef] [Green Version]
  14. Danilova, I.; Sharipova, M. The Practical Potential of Bacilli and Their Enzymes for Industrial Production. Front. Microbiol. 2020, 11, 1782. [Google Scholar] [CrossRef]
  15. Srivatsan, A.; Han, Y.; Peng, J.; Tehranchi, A.K.; Gibbs, R.; Wang, J.D.; Chen, R. High-Precision, Whole-Genome Sequencing of Laboratory Strains Facilitates Genetic Studies. PLoS Genet. 2008, 4, e1000139. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  16. Tjalsma, H.; Antelmann, H.; Jongbloed, J.D.; Braun, P.G.; Darmon, E.; Dorenbos, R.; Dubois, J.Y.F.; Westers, H.; Zanen, G.; Quax, W.J.; et al. Proteomics of protein secretion by Bacillus subtilis: Separating the “secrets” of the secretome. Microbiol. Mol. Biol. Rev. 2004, 68, 207–233. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  17. The Comprehensive R Archive Network-Emmeans: Estimated Marginal Means, Aka Least-Squares Means. R Package Version 1.7.2. Available online: https://cran.r-project.org/web/packages/emmeans/emmeans.pdf (accessed on 7 February 2022).
  18. Gligor, O.; Mocan, A.; Moldovan, C.; Locatelli, M.; Crișan, G.; Ferreira, I.C. Enzyme-assisted extractions of polyphenols—A comprehensive review. Trends Food Sci. Technol. 2019, 88, 302–315. [Google Scholar] [CrossRef]
  19. Lenucci, M.S.; De Caroli, M.; Marrese, P.P.; Iurlaro, A.; Rescio, L.; Böhm, V.; Dalessandro, G.; Piro, G. Enzyme-aided extraction of lycopene from high-pigment tomato cultivars by supercritical carbon dioxide. Food Chem. 2015, 170, 193–202. [Google Scholar] [CrossRef] [PubMed]
  20. Garcia, R.G.; Martínez-Ávila, G.C.G.; Aguilar, C.N. Enzyme-assisted extraction of antioxidative phenolics from grape (Vitis vinifera L.) residues. 3 Biotech 2012, 2, 297–300. [Google Scholar] [CrossRef] [Green Version]
  21. Rane, A.N.; Baikar, V.V.; Ravi Kumar, V.; Deopurkar, R.L. Agro-Industrial Wastes for Production of Biosurfactant by Bacillus subtilis ANR 88 and Its Application in Synthesis of Silver and Gold Nanoparticles. Front. Microbiol. 2017, 8, 492. [Google Scholar] [CrossRef] [Green Version]
  22. Radhakrishnan, R.; Abeer, H.; Abd Allah, E.F. Bacillus: A Biological Tool for Crop Improvement through Bio-Molecular Changes in Adverse Environments. Front. Physiol. 2017, 8, 667. [Google Scholar] [CrossRef]
  23. Heimler, D.; Isolani, L.; Vignolini, P.; Tombelli, S.; Romani, A. Polyphenol Content and Antioxidative Activity in Some Species of Freshly Consumed Salads. J. Agric. Food Chem. 2007, 55, 1724–1729. [Google Scholar] [CrossRef]
  24. Koh, E.; Wimalasiri, K.; Chassy, A.; Mitchell, A. Content of ascorbic acid, quercetin, kaempferol and total phenolics in commercial broccoli. J. Food Compos. Anal. 2009, 22, 637–643. [Google Scholar] [CrossRef]
  25. Valverde, J.; Reilly, K.; Villacreces, S.; Gaffney, M.; Grant, J.; Brunton, N. Variation in bioactive content in broccoli (Brassica oleracea var. italica) grown under conventional and organic production systems. J. Sci. Food Agric. 2015, 95, 1163–1171. [Google Scholar] [CrossRef]
  26. Soengas, P.; Cartea, M.E.; Velasco, P.; Francisco, M. Endogenous Circadian Rhythms in Polyphenolic Composition Induce Changes in Antioxidant Properties in Brassica Cultivars. J. Agric. Food Chem. 2018, 66, 5984–5991. [Google Scholar] [CrossRef] [PubMed]
  27. Lawson, A.P.; Long, M.; Coffey, R.T.; Qian, Y.; Weerapana, E.; El Oualid, F.; Hedstrom, L. Naturally Occurring Isothiocyanates Exert Anticancer Effects by Inhibiting Deubiquitinating Enzymes. Cancer Res. 2015, 75, 5130–5142. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  28. Tang, L.; Paonessa, J.D.; Zhang, Y.; Ambrosone, C.B.; McCann, S.E. Total isothiocyanate yield from raw cruciferous vegetables commonly consumed in the United States. J. Funct. Foods 2013, 5, 1996–2001. [Google Scholar] [CrossRef] [Green Version]
  29. ToTušek, J.; TříSka, J.; LeFNeroVá, D.; STrohaLm, J.; Vrchotová, N.; Zendulka, O.; Průchová, J.; Chaloupková, J.; Novotná, P.; Houška, M. Contents of sulforaphane and total isothiocyanates, antimutagenic activity, and inhibition of clastogenicity in pulp. Czech J. Food Sci. 2011, 29, 548–556. [Google Scholar] [CrossRef] [Green Version]
  30. Karanikolopoulou, S.; Revelou, P.-K.; Xagoraris, M.; Kokotou, M.G.; Constantinou-Kokotou, V. Current Methods for the Extraction and Analysis of Isothiocyanates and Indoles in Cruciferous Vegetables. Analytica 2021, 2, 93–120. [Google Scholar] [CrossRef]
  31. Wang, Z.; Kwan, M.L.; Pratt, R.; Roh, J.M.; Kushi, L.H.; Danforth, K.N.; Zhang, Y.; Ambrosone, C.B.; Tang, L. Effects of cooking methods on total isothiocyanate yield from cruciferous vegetables. Food Sci. Nutr. 2020, 8, 5673–5682. [Google Scholar] [CrossRef]
  32. Mordini, S.; Osera, C.; Marini, S.; Scavone, F.; Bellazzi, R.; Galizzi, A.; Calvio, C. The role of SwrA, DegU and PD3 in fla/che expression in B. subtilis. PLoS ONE 2013, 8, e85065. [Google Scholar] [CrossRef] [Green Version]
  33. Ermoli, F.; Bontà, V.; Vitali, G.; Calvio, C. SwrA as global modulator of the two-component system DegSU in Bacillus subtilis. Res. Microbiol. 2021, 172, 103877. [Google Scholar] [CrossRef]
  34. Naviglio, D.; Formato, A.; Gallo, M. Comparison between 2 Methods of Solid-Liquid Extraction for the Production ofCinchona calisayaElixir: An Experimental Kinetics and Numerical Modeling Approach. J. Food Sci. 2014, 79, E1704–E1712. [Google Scholar] [CrossRef] [Green Version]
  35. Zhang, Y. The 1,2-Benzenedithiole-Based Cyclocondensation Assay: A Valuable Tool for the Measurement of Chemopreventive Isothiocyanates. Crit. Rev. Food Sci. Nutr. 2012, 52, 525–532. [Google Scholar] [CrossRef] [Green Version]
  36. The R Project for Statistical Computing. Available online: https://www.R-project.org/ (accessed on 7 February 2022).
Figure 1. The enzymatic activity of cellulases (in orange) and xylanases (in green) in the WT and OS58 strains (as indicated on the x-axis). Cells were grown in a chemically defined medium for 24 h and assayed with a commercial kit. Enzymatic activity (in mU/mL of spent medium) is reported on the y-axis. Values represent the average of at least five independent experiments. Error bars represent the standard error of the mean (SEM).
Figure 1. The enzymatic activity of cellulases (in orange) and xylanases (in green) in the WT and OS58 strains (as indicated on the x-axis). Cells were grown in a chemically defined medium for 24 h and assayed with a commercial kit. Enzymatic activity (in mU/mL of spent medium) is reported on the y-axis. Values represent the average of at least five independent experiments. Error bars represent the standard error of the mean (SEM).
Plants 11 00816 g001
Figure 2. The total polyphenols content (calculated as mg per gram of fresh cauliflowers, before freezing) is reported for Control, WT, and OS58 groups as estimated means and 95% confidence intervals (larger dots and colored lines, respectively) by the linear mixed model (LMM). On the upper side of the plot, treatment effects are reported in mg/g as the estimated means and 95% confidence intervals for each comparison, as difference from the control or between enzymatic treatments, as indicated on the left (degrees of freedom-df = 10.7). The level of significance (p-value) is reported above each horizontal line; the dashed line corresponds to the “no effect” hypothesis. The values reported were obtained from the model using the emmeans package (n = 4, for each group) [17].
Figure 2. The total polyphenols content (calculated as mg per gram of fresh cauliflowers, before freezing) is reported for Control, WT, and OS58 groups as estimated means and 95% confidence intervals (larger dots and colored lines, respectively) by the linear mixed model (LMM). On the upper side of the plot, treatment effects are reported in mg/g as the estimated means and 95% confidence intervals for each comparison, as difference from the control or between enzymatic treatments, as indicated on the left (degrees of freedom-df = 10.7). The level of significance (p-value) is reported above each horizontal line; the dashed line corresponds to the “no effect” hypothesis. The values reported were obtained from the model using the emmeans package (n = 4, for each group) [17].
Plants 11 00816 g002
Figure 3. The catechins content (calculated as μg per gram of fresh cauliflowers) is reported for the Control, WT, and OS58 groups. A detailed description of these types of plots is provided in Figure 2.
Figure 3. The catechins content (calculated as μg per gram of fresh cauliflowers) is reported for the Control, WT, and OS58 groups. A detailed description of these types of plots is provided in Figure 2.
Plants 11 00816 g003
Figure 4. The chlorogenic acid content (calculated as μg per gram of fresh cauliflowers) is reported for the Control, WT, and OS58 groups. A detailed description of these types of plots is provided in Figure 2.
Figure 4. The chlorogenic acid content (calculated as μg per gram of fresh cauliflowers) is reported for the Control, WT, and OS58 groups. A detailed description of these types of plots is provided in Figure 2.
Plants 11 00816 g004
Figure 5. The isothiocyanates content (calculated as mg per gram of fresh cauliflowers) is reported for the Control, WT, and OS58 groups. A detailed description of these types of plots is provided in Figure 2.
Figure 5. The isothiocyanates content (calculated as mg per gram of fresh cauliflowers) is reported for the Control, WT, and OS58 groups. A detailed description of these types of plots is provided in Figure 2.
Plants 11 00816 g005
Table 1. The concentration of secondary metabolite extracted (mg or μg per gram of fresh cauliflower) for each pretreatment group [control = sterile medium; WT = spent medium from the WT strain; OS58 = spent medium from the optimized strain].
Table 1. The concentration of secondary metabolite extracted (mg or μg per gram of fresh cauliflower) for each pretreatment group [control = sterile medium; WT = spent medium from the WT strain; OS58 = spent medium from the optimized strain].
ControlWTOS58
Polyphenols (mg/g)0.176 ± 0.0200.227 ± 0.0070.245 ± 0.023 *
Epigallocatechin gallate (g/g)1.094 ± 0.1852.170 ± 0.8293.071 ± 0.740 **
Epicatechin (g/g)4.685 ± 0.7788.670 ± 1.346 *11.30 ± 2.769 **
Epicatechin gallate (g/g)3.293 ± 0.5734.411 ± 0.590 **4.108 ± 0.469 *
Chlorogenic acid (g/g)0.928 ± 0.6581.880 ± 0.776 **2.711 ± 0.871 ***
Isothiocyanates (g/g)0.004 ± 0.0010.005 ± 0.0010.006 ± 0.001
A descriptive analysis of the data—mean values ± standard error of the mean (SEM)—was conducted to describe the difference of the treated groups vs. control. The asterisks (*) indicate the significant differences, obtained by the Linear Mixed Models (p < 0.05 *; p < 0.01 **; p < 0.001 ***).
Table 2. The mobile phase gradient.
Table 2. The mobile phase gradient.
Time (Min) A (%)B (%)
19010
59010
78020
88020
107525
157030
202080
255050
287030
309010
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Doria, E.; Buonocore, D.; Marra, A.; Bontà, V.; Gazzola, A.; Dossena, M.; Verri, M.; Calvio, C. Bacterial-Assisted Extraction of Bioactive Compounds from Cauliflower. Plants 2022, 11, 816. https://doi.org/10.3390/plants11060816

AMA Style

Doria E, Buonocore D, Marra A, Bontà V, Gazzola A, Dossena M, Verri M, Calvio C. Bacterial-Assisted Extraction of Bioactive Compounds from Cauliflower. Plants. 2022; 11(6):816. https://doi.org/10.3390/plants11060816

Chicago/Turabian Style

Doria, Enrico, Daniela Buonocore, Antonio Marra, Valeria Bontà, Andrea Gazzola, Maurizia Dossena, Manuela Verri, and Cinzia Calvio. 2022. "Bacterial-Assisted Extraction of Bioactive Compounds from Cauliflower" Plants 11, no. 6: 816. https://doi.org/10.3390/plants11060816

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop