Bioactive Compounds from Agro-Industrial By-Products: Green Recovery Technologies, Analytical Characterization, and Industrial Applications
Abstract
1. Introduction
Literature Search Strategy
2. Polyphenols from Agro-Industrial By-Products
2.1. Agro-Industrial Waste Generation and Circular Economy Context
2.2. Chemical Characteristics and Biological Importance of Polyphenols
2.3. Occurrence and Distribution of Polyphenols in Agro-Industrial By-Products
3. Colorants
3.1. General Characteristics of Natural Pigments
3.2. Major Classes of Natural Pigments
3.2.1. Chlorophylls
3.2.2. Carotenoids
3.2.3. Anthocyanins
3.2.4. Betalains
3.3. Biological and Functional Properties
4. Dietary Fiber and Prebiotics
4.1. General Characteristics of Dietary Fiber
4.2. Prebiotics and Their Physiological Effects
4.3. Agro-Industrial By-Products as Sources of Fiber and Prebiotics
5. Lipids—Fatty Acids and Triacylglycerols, Phospholipids, Sterols and Minor Lipids, and Fat-Soluble Vitamins
5.1. Characteristics
5.2. Fatty Acids and Triacylglycerols
5.3. Phospholipids
5.4. Sterols and Minor Lipids
5.5. Fat-Soluble Vitamins
5.6. Biological Activity of Lipids Derived from Agri-Industrial By-Products
6. Proteins and Peptides
6.1. General Characteristics and Recovery from By-Products
6.2. Biological Activities of Proteins and Peptides Derived from Agro-Industrial By-Products
6.2.1. Antioxidant Activity
6.2.2. Antimicrobial Activity
6.2.3. Antihypertensive Activity
6.2.4. Opioid Activity
6.2.5. Prolyl Endopeptidase Inhibitory Activity
6.2.6. DPP-IV Inhibitory Activity
7. Advanced Sensory Evaluation Methodologies for Food Products Enriched with Bioactive Compounds
7.1. Foods Developed from Agro-Industrial By-Products
7.2. Functional and Fortified Foods
7.3. Snacks and Cookies
7.4. Pasta and Bakery Products
7.5. Meat and Dairy Products
8. Analytical Tools for the Characterization of Bioactive Compounds Recovered from Agro-Industrial By-Products
8.1. Compound-Specific Analytical Platforms
8.1.1. Polyphenols and Natural Pigments
8.1.2. Dietary Fiber and Prebiotic Fractions
8.1.3. Lipids and Fatty Acids
8.1.4. Proteins and Bioactive Peptides
8.2. Foodomics Approaches and Emerging Analytical Trends
8.3. Current Challenges and Future Perspectives
9. Industrial Applications of Agro-Industrial By-Products
10. Conclusions
Supplementary Materials
Author Contributions
Funding
Data Availability Statement
Acknowledgments
Conflicts of Interest
Abbreviations
| AACC | American Association of Cereal Chemists |
| ABTS | 2,2′-azinobis(3-ethylbenzothiazoline-6-sulfonic acid) |
| AOAC | Association of Official Analytical Collaboration |
| CE | Circular economy |
| CSE | Conventional solvent extraction |
| DPPH | 2,2-diphenyl-1-picrylhydrazyl |
| DW | Dry weight |
| FAO | Food and Agriculture Organization |
| FTIR | Fourier transform infrared spectroscopy |
| GAE | Gallic acid equivalents |
| GC-MS | Gas chromatography–mass spectrometry |
| HPAEC-PAD | High-performance anion-exchange chromatography with pulsed amperometric detection |
| HPLC | High-performance liquid chromatography |
| HPLC-DAD | High-performance liquid chromatography with diode array detection |
| HRMS | High-resolution mass spectrometry |
| LCA | Life cycle assessment |
| LC-MS | Liquid chromatography–mass spectrometry |
| LC-MS/MS | Liquid chromatography–tandem mass spectrometry |
| MAE | Microwave-assisted extraction |
| MALDI-TOF-MS | Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry |
| NADESs | Natural deep eutectic solvents |
| NMR | Nuclear magnetic resonance |
| PLE | Pressurized liquid extraction |
| PRISMA | Preferred Reporting Items for Systematic Reviews and Meta-Analyses |
| RP-HPLC | Reverse-phase high-performance liquid chromatography |
| SCFAs | Short-chain fatty acids |
| SDS-PAGE | Sodium dodecyl sulfate–polyacrylamide gel electrophoresis |
| SFE | Supercritical fluid extraction |
| TEA | Techno-economic assessment |
| TRL | Technology readiness level |
| UAE | Ultrasound-assisted extraction |
| UV–Vis | Ultraviolet–visible spectroscopy |
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| Agro-Industrial By-Product | Dietary Fiber (%) | Prebiotic Index |
|---|---|---|
| Cactus pear peel [40] | 64.15 ± 2.05 | 0.33 [43] |
| Pineapple peel [40] | 62.54 ± 3.2 | 0.32 [43] |
| Apple marc [39] | 70.91 ± 1.30 | ND |
| Carrot bagasse [45] | 52.00 ± 0.81 | 0.42 [46] |
| Banana peel [46] | 46.63 ± 2.7 | 0.28 [46] |
| Lipid Fraction | Source | Predominant Compounds | Reported Bioactivity | Application | Industrial Product | Extraction/Recovery Approach |
|---|---|---|---|---|---|---|
| Vegetable seed oils [45,46,47,48] | Grape seeds, mango kernels, olive pomace | Oleic acid, linoleic acid, α-linolenic acid | Antioxidant activity | Functional foods, cosmetics | Functional edible oils, cosmetic oils, omega-enriched formulations | Cold pressing, solvent extraction, SFE |
| Phytosterols [47,48] | Deodorizer distillates | β-sitosterol, campesterol, stigmasterol | Cholesterol lowering | Functional foods | Cholesterol-lowering spreads, fortified dairy products, nutraceutical supplements | Molecular distillation, fractionation |
| Tocopherols [45,48] | Rice bran, grape seed | α- and γ-tocopherol | Antioxidant | Nutraceuticals | Antioxidant supplements, oil stabilizers, vitamin E formulations | Distillation, solvent extraction |
| Phospholipids [46,48] | Oil refining streams | Phosphatidylcholine | Improved bioavailability | Lecithins, liposomes | Food emulsifiers, liposomal delivery systems, nutraceutical carriers | Degumming and purification |
| Fat-soluble vitamins [46,48] | Olive pomace | Squalene | Antioxidant, skin protection | Cosmetics, nutraceuticals | Anti-aging creams, skin-care formulations, nutraceutical capsules | Solvent extraction, molecular fractionation |
| Food Category | Food Product | Agro-Industrial By-Product | Incorporation Level | Sensory Method | Sensory Attributes and Statistical Significance | Main Findings |
|---|---|---|---|---|---|---|
| Functional foods [72] | Tomato purée | Grape pomace and grape skins | Particle size <125 µm and >125 µm | Descriptive sensory analysis (n = 9) and consumer acceptance (n = 95) | Texture, aroma, homogeneity, astringency (p < 0.05) | Smaller particles produced more homogeneous purées and traditional tomato flavor, whereas larger particles increased crunchiness and vegetal notes |
| Functional beverages [73] | Fermented wheat beverage | Fermented-extruded wheat; fruit residues (blueberry, raspberry, sea buckthorn, currant) | Wheat: 5, 10, 15 g/serving; fruit residues: 2.5, 5.0, 7.5 g/serving | 10-point hedonic scale and facial emotion recognition (n = 50) | Acceptability, emotional responses (p < 0.05) | High acceptance scores (up to 9.5/10). Positive correlation between “happy” emotion and acceptance (r = 0.8525) |
| Snacks [74] | Extruded snacks | Defatted hazelnut flour and fruit residues | Hazelnut flour: 5–15%; fruit residues: 3–7% | 9-point hedonic scale (n = 10) | Color, flavor, texture, overall acceptance (p < 0.05) | Higher incorporation increased product darkness, whereas moderate levels improved crunchiness and acceptability |
| Bakery products [75] | Cookies | Hibiscus sabdariffa residues | 1.25%, 2.50%, 5% | 7-point hedonic scale (n = 14) | Flavor, aroma, color, crunchiness, appearance (p < 0.05) | Moderate levels improved sensory scores; highest level reduced acceptance |
| Bakery products [76] | Cookies | Apple pomace | 10% and 20% flour substitution | 7-point hedonic scale (n = 30) | Fruity flavor, sweetness, texture, acidity (p < 0.05) | Apple pomace increased fruity flavor without affecting sweetness or texture |
| Cereal-based foods [77] | Pasta | Grape pomace | Enriched formulation | 7-point hedonic scale (n = 14) | Color, flavor, texture (p < 0.05) | Slight color modification; minimal effect on flavor and texture |
| Cereal-based foods [78] | Pasta | Potato juice (fresh and dried) | Enriched formulation | 10-point hedonic scale (n = 60) | Appearance, flavor, texture (p < 0.05) | Color identified as the main attribute influencing consumer perception |
| Cereal-based foods [79] | Pasta | Coconut flour and coconut milk residues | Coconut flour: 10–15%; coconut residues: 5–10% | 7-point hedonic scale (n = 60) | Aroma, taste, texture, color (p < 0.05) | Minimal changes in taste and aroma; noticeable color modifications |
| Bakery products [80] | Muffins | Cauliflower by-product flour | 10%, 20%, 30% substitution | 9-point hedonic scale (n = 10) | Appearance, flavor, texture, overall acceptance (p < 0.05) | Moderate substitution maintained sensory quality, whereas higher levels reduced acceptability |
| Meat products [81] | Beef burgers | Flaxseed and flaxseed by-products | 0% to 100% | 9-point hedonic scale (n = 15) | Flavor, aroma, appearance, texture (p < 0.05) | The incorporation of 50% maintained acceptable sensory scores; higher levels negatively affected flavor and texture |
| Dairy products [82] | Goat cheese | Citrus pulp (animal diet supplementation) | Dietary supplementation | Descriptive sensory analysis (n = 10) and consumer acceptance (n = 80) | Odor attributes (milk, butter, sweet, toffee, nuts, goat aroma) (p < 0.05) | Similar sensory profiles dominated by buttery and acidic notes |
| Bioactive Compound Class | Main Analytical Techniques | Main Information Obtained | Typical Green Extraction Technologies Associated | Representative References |
|---|---|---|---|---|
| Polyphenols | HPLC-DAD, LC-MS/MS, NMR | Identification, quantification and structural elucidation of phenolic compounds | UAE, MAE, PLE, NADESs | [16,71,84,85] |
| Natural pigments | UV-Vis, HPLC-DAD, LC-MS/MS | Pigment profiling, stability assessment and degradation products | UAE, MAE, SFE | [71,84] |
| Dietary fiber and prebiotics | AOAC enzymatic–gravimetric methods, HPLC, HPAEC-PAD, FTIR, NMR | Fiber composition, oligosaccharide profile, structural characterization and fermentability assessment | UAE, MAE, Enzymatic extraction | [33,36,39,85,87] |
| Lipids and fatty acids | GC-MS, NMR, Lipidomics | Fatty acid composition, sterol profile, degree of unsaturation and lipid fingerprinting | SFE, PLE | [66,84,85,86] |
| Proteins and bioactive peptides | SDS-PAGE, RP-HPLC, MALDI-TOF-MS, LC-MS/MS | Molecular characterization, peptide identification and structure–activity relationships | UAE, MAE, Enzymatic extraction | [66,71,86] |
| Complex extracts | HRMS, Metabolomics and Foodomics platforms | Global metabolic profiling, biomarker discovery, authentication and extraction selectivity assessment | UAE, MAE, SFE, NADESs | [86,88,89] |
| Industrial quality control | FTIR, Biosensors | Rapid screening, process monitoring and routine quality control | Applicable across extraction technologies | [87,90] |
| Extraction Technology | Polyphenol Yield Range (mg GAE/g DW) | Solvent Consumption | Energy Demand | Industrial Scalability | Green Chemistry Alignment | Circular Economy Contribution | Main Limitations |
|---|---|---|---|---|---|---|---|
| Conventional solvent extraction (CS/E) [8,92] | 10–45 | High (20–100 mL/g biomass) | Moderate | High | Low–Moderate | Enables valorization of agro-industrial by-products but generates significant solvent waste and requires solvent recovery operations | Long extraction times, high solvent consumption, lower selectivity, environmental burden |
| Ultrasound-assisted extraction (UAE) [8,92,93] | 20–70 | Low–Moderate (5–30 mL/g biomass) | Low–Moderate | High | High | Reduces solvent usage and processing time, improving resource efficiency and facilitating by-product valorization | Process optimization required; cavitation may affect sensitive compounds under extreme conditions |
| Microwave-assisted extraction (MAE) [8,92] | 25–80 | Low–Moderate | Moderate | Moderate–High | High | Improves extraction efficiency while reducing extraction time and solvent requirements | Potential degradation of thermolabile compounds; scale-up challenges remain |
| Pressurized liquid extraction (PLE) [5,8] | 30–90 | Low | Moderate | High | High | Compatible with biorefinery concepts through efficient utilization of water and ethanol under controlled conditions | Higher equipment costs and operation under elevated pressure |
| Supercritical fluid extraction (SFE-CO2 + ethanol) [8] | 15–65 | Very low organic solvent use | High | Moderate–High | Very High | Allows solvent recycling and production of high-purity extracts with minimal environmental impact | High capital investment; limited recovery of highly polar phenolics without co-solvents |
| Natural deep eutectic solvents (NADESs) [5,91] | 40–100 | Very low toxicity solvents | Low–Moderate | Emerging | Very High | Strong compatibility with circular bioeconomy principles due to biodegradable and renewable solvent components | High viscosity, challenging downstream purification, limited industrial implementation, regulatory uncertainty |
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Hurtado-Rios, J.J.; Alvarez-Cisneros, Y.M.; Escalona-Buendía, H.; Hernández-Valencia, C.G.; Pérez-Chabela, M.d.L.; Pintor-Jardines, M.A.; Soriano-Santos, J.; Trejo-Aguilar, G.M.; Ponce-Alquicira, E. Bioactive Compounds from Agro-Industrial By-Products: Green Recovery Technologies, Analytical Characterization, and Industrial Applications. Foods 2026, 15, 2406. https://doi.org/10.3390/foods15132406
Hurtado-Rios JJ, Alvarez-Cisneros YM, Escalona-Buendía H, Hernández-Valencia CG, Pérez-Chabela MdL, Pintor-Jardines MA, Soriano-Santos J, Trejo-Aguilar GM, Ponce-Alquicira E. Bioactive Compounds from Agro-Industrial By-Products: Green Recovery Technologies, Analytical Characterization, and Industrial Applications. Foods. 2026; 15(13):2406. https://doi.org/10.3390/foods15132406
Chicago/Turabian StyleHurtado-Rios, Jessica J., Yenizey M. Alvarez-Cisneros, Héctor Escalona-Buendía, Carmen G. Hernández-Valencia, María de Lourdes Pérez-Chabela, María Aurora Pintor-Jardines, Jorge Soriano-Santos, Gloria Maribel Trejo-Aguilar, and Edith Ponce-Alquicira. 2026. "Bioactive Compounds from Agro-Industrial By-Products: Green Recovery Technologies, Analytical Characterization, and Industrial Applications" Foods 15, no. 13: 2406. https://doi.org/10.3390/foods15132406
APA StyleHurtado-Rios, J. J., Alvarez-Cisneros, Y. M., Escalona-Buendía, H., Hernández-Valencia, C. G., Pérez-Chabela, M. d. L., Pintor-Jardines, M. A., Soriano-Santos, J., Trejo-Aguilar, G. M., & Ponce-Alquicira, E. (2026). Bioactive Compounds from Agro-Industrial By-Products: Green Recovery Technologies, Analytical Characterization, and Industrial Applications. Foods, 15(13), 2406. https://doi.org/10.3390/foods15132406

