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18 pages, 1087 KB  
Article
Enhancing the Quality and Stability of Fresh Cheese with Sage Through Antioxidant and Sensory Improvements
by Dajana Vukić, Jovana Degenek, Mirela Iličić, Maja Bjekić, Katarina Kanurić, Branimir Pavlić, Zoran Zeković and Vladimir Vukić
Processes 2026, 14(6), 961; https://doi.org/10.3390/pr14060961 - 17 Mar 2026
Abstract
The objective of this study was to evaluate the influence of sage (Salvia officinalis L.) in various forms on the quality and shelf life of fresh cheese. We hypothesized that incorporating ground sage, its essential oil (EO), and supercritical fluid extract (SFE) [...] Read more.
The objective of this study was to evaluate the influence of sage (Salvia officinalis L.) in various forms on the quality and shelf life of fresh cheese. We hypothesized that incorporating ground sage, its essential oil (EO), and supercritical fluid extract (SFE) would significantly enhance the antioxidant potential and oxidative stability of the product without compromising its fundamental physicochemical profile. Results showed that, although fresh cheese is a complex, heterogeneous matrix, the dry matter remained stable, fluctuating between 32.86% and 39.13% over 30 days. The addition of sage significantly increased the total phenolic content (TPC), reaching 14.28 mg GAE/g in SFE-fortified samples, which directly correlated with a high DPPH radical scavenging activity. The addition of ground sage (XFC-G) reduced lightness (L*) and resulted in less negative greenness values (a* from −2.50 to −1.97) compared to other treatments. Conversely, XFC-C maintained higher lightness but exhibited a progressive increase in total color difference (ΔE). Sensory evaluation confirmed that sage-fortified cheeses, particularly those with ground sage, received high scores for herbal aroma and overall acceptability (4.8/5.0) after the production, but after the 10 days of storage all samples showed the same overall sensory evaluation. These findings suggest that the added forms of sage, especially ground, serve as potent natural preservatives that maintain the functional integrity and sensory appeal of fresh cheese. Full article
(This article belongs to the Special Issue Processing and Analysis of Dairy Products)
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26 pages, 1011 KB  
Article
A Study on Machine Learning-Based Cost Estimation Models for AI Training Data Construction
by Yoon-Seok Ko and Bong Gyou Lee
Appl. Sci. 2026, 16(6), 2891; https://doi.org/10.3390/app16062891 - 17 Mar 2026
Abstract
This study proposes an explainable machine learning framework for estimating the total project cost (TPC) of AI training-data construction, where cost information is difficult to structure due to heterogeneous workflows and quality requirements. Using 386 public AI training-data projects conducted between 2020 and [...] Read more.
This study proposes an explainable machine learning framework for estimating the total project cost (TPC) of AI training-data construction, where cost information is difficult to structure due to heterogeneous workflows and quality requirements. Using 386 public AI training-data projects conducted between 2020 and 2022, we derive 24 numerical predictors from standardized final reports and construct three input tracks: a baseline feature set, a principal component analysis (PCA)-enhanced set, and a factor analysis (FA)–enhanced set capturing latent cost structures. Four regression models (Ridge, Random Forest, XGBoost, and LightGBM) are evaluated using nested cross-validation. XGBoost achieves the best overall performance across all three tracks (Baseline, PCA-enhanced, and FA-enhanced). Among them, PCA-enhanced XGBoost attains the highest predictive accuracy (R2 = 0.868; RMSE = 1084.9; MAE = 746.9; MAPE = 0.358; pooled out-of-fold), while Baseline XGBoost yields the lowest MAE (731.4; R2 = 0.863). To support transparent decision-making, Shapley Additive exPlanations (SHAP)-based attribution and scenario-based sensitivity analyses are conducted. Results show that project scale and process-level unit costs are dominant cost-drivers, while cloud usage, expert participation, and de-identification requirements exhibit secondary effects. The proposed framework provides an interpretable, data-driven approach to cost information management and decision support for data-intensive AI projects. Full article
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33 pages, 35113 KB  
Article
Operation of a Modular 3D-Pixelated Liquid Argon Time-Projection Chamber in a Neutrino Beam
by S. Abbaslu, A. Abed Abud, R. Acciarri, L. P. Accorsi, M. A. Acero, M. R. Adames, G. Adamov, M. Adamowski, C. Adriano, F. Akbar, F. Alemanno, N. S. Alex, K. Allison, M. Alrashed, A. Alton, R. Alvarez, T. Alves, A. Aman, H. Amar, P. Amedo, J. Anderson, D. A. Andrade, C. Andreopoulos, M. Andreotti, M. P. Andrews, F. Andrianala, S. Andringa, F. Anjarazafy, S. Ansarifard, D. Antic, M. Antoniassi, A. Aranda-Fernandez, L. Arellano, E. Arrieta Diaz, M. A. Arroyave, M. Arteropons, J. Asaadi, M. Ascencio, A. Ashkenazi, D. Asner, L. Asquith, E. Atkin, D. Auguste, A. Aurisano, V. Aushev, D. Autiero, D. Ávila Gómez, M. B. Azam, F. Azfar, A. Back, J. J. Back, Y. Bae, I. Bagaturia, L. Bagby, D. Baigarashev, S. Balasubramanian, A. Balboni, P. Baldi, W. Baldini, J. Baldonedo, B. Baller, B. Bambah, F. Barao, D. Barbu, G. Barenboim, P. B̃arham Alzás, G. J. Barker, W. Barkhouse, G. Barr, A. Barros, N. Barros, D. Barrow, J. L. Barrow, A. Basharina-Freshville, A. Bashyal, V. Basque, M. Bassani, D. Basu, C. Batchelor, L. Bathe-Peters, J. B. R. Battat, F. Battisti, J. Bautista, F. Bay, J. L. L. Bazo Alba, J. F. Beacom, E. Bechetoille, B. Behera, E. Belchior, B. Bell, G. Bell, L. Bellantoni, G. Bellettini, V. Bellini, O. Beltramello, A. Belyaev, C. Benitez Montiel, D. Benjamin, F. Bento Neves, J. Berger, S. Berkman, J. Bermudez, J. Bernal, P. Bernardini, A. Bersani, E. Bertholet, E. Bertolini, S. Bertolucci, M. Betancourt, A. Betancur Rodríguez, Y. Bezawada, A. T. Bezerra, A. Bhat, V. Bhatnagar, M. Bhattacharjee, S. Bhattacharjee, M. Bhattacharya, S. Bhuller, B. Bhuyan, S. Biagi, J. Bian, K. Biery, B. Bilki, M. Bishai, A. Blake, F. D. Blaszczyk, G. C. Blazey, E. Blucher, B. Bogart, J. Boissevain, S. Bolognesi, T. Bolton, L. Bomben, M. Bonesini, C. Bonilla-Diaz, A. Booth, F. Boran, R. Borges Merlo, N. Bostan, G. Botogoske, B. Bottino, R. Bouet, J. Boza, J. Bracinik, B. Brahma, D. Brailsford, F. Bramati, A. Branca, A. Brandt, J. Bremer, S. J. Brice, V. Brio, C. Brizzolari, C. Bromberg, J. Brooke, A. Bross, G. Brunetti, M. B. Brunetti, N. Buchanan, H. Budd, J. Buergi, A. Bundock, D. Burgardt, S. Butchart, G. Caceres V., R. Calabrese, R. Calabrese, J. Calcutt, L. Calivers, E. Calvo, A. Caminata, A. F. Camino, W. Campanelli, A. Campani, A. Campos Benitez, N. Canci, J. Capó, I. Caracas, D. Caratelli, D. Carber, J. M. Carceller, G. Carini, B. Carlus, M. F. Carneiro, P. Carniti, I. Caro Terrazas, H. Carranza, N. Carrara, L. Carroll, T. Carroll, A. Carter, E. Casarejos, D. Casazza, J. F. Castaño Forero, F. A. Castaño, C. Castromonte, E. Catano-Mur, C. Cattadori, F. Cavalier, F. Cavanna, S. Centro, G. Cerati, C. Cerna, A. Cervelli, A. Cervera Villanueva, J. Chakrani, M. Chalifour, A. Chappell, A. Chatterjee, B. Chauhan, C. Chavez Barajas, H. Chen, M. Chen, W. C. Chen, Y. Chen, Z. Chen, D. Cherdack, S. S. Chhibra, C. Chi, F. Chiapponi, R. Chirco, N. Chitirasreemadam, K. Cho, S. Choate, G. Choi, D. Chokheli, P. S. Chong, B. Chowdhury, D. Christian, M. Chung, E. Church, M. F. Cicala, M. Cicerchia, V. Cicero, R. Ciolini, P. Clarke, G. Cline, A. G. Cocco, J. A. B. Coelho, A. Cohen, J. Collazo, J. Collot, H. Combs, J. M. Conrad, L. Conti, T. Contreras, M. Convery, K. Conway, S. Copello, P. Cova, C. Cox, L. Cremonesi, J. I. Crespo-Anadón, M. Crisler, E. Cristaldo, J. Crnkovic, G. Crone, R. Cross, A. Cudd, C. Cuesta, Y. Cui, F. Curciarello, D. Cussans, J. Dai, O. Dalager, W. Dallaway, R. D’Amico, H. da Motta, Z. A. Dar, R. Darby, L. Da Silva Peres, Q. David, G. S. Davies, S. Davini, J. Dawson, R. De Aguiar, P. Debbins, M. P. Decowski, A. de Gouvêa, P. C. De Holanda, P. De Jong, P. Del Amo Sanchez, G. De Lauretis, A. Delbart, M. Delgado, A. Dell’Acqua, G. Delle Monache, N. Delmonte, P. De Lurgio, R. Demario, G. De Matteis, J. R. T. de Mello Neto, A. P. A. De Mendonca, D. M. DeMuth, S. Dennis, C. Densham, P. Denton, G. W. Deptuch, A. De Roeck, V. De Romeri, J. P. Detje, J. Devine, K. Dhanmeher, R. Dharmapalan, M. Dias, A. Diaz, J. S. Díaz, F. Díaz, F. Di Capua, A. Di Domenico, S. Di Domizio, S. Di Falco, L. Di Giulio, P. Ding, L. Di Noto, E. Diociaiuti, G. Di Sciascio, V. Di Silvestre, C. Distefano, R. Di Stefano, R. Diurba, M. Diwan, Z. Djurcic, S. Dolan, M. Dolce, M. J. Dolinski, D. Domenici, S. Dominguez, S. Donati, S. Doran, D. Douglas, T. A. Doyle, F. Drielsma, D. Duchesneau, K. Duffy, K. Dugas, P. Dunne, B. Dutta, D. A. Dwyer, A. S. Dyshkant, S. Dytman, M. Eads, A. Earle, S. Edayath, D. Edmunds, J. Eisch, W. Emark, P. Englezos, A. Ereditato, T. Erjavec, C. O. Escobar, J. J. Evans, E. Ewart, A. C. Ezeribe, K. Fahey, A. Falcone, M. Fani’, D. Faragher, C. Farnese, Y. Farzan, J. Felix, Y. Feng, M. Ferreira da Silva, G. Ferry, E. Fialova, L. Fields, P. Filip, A. Filkins, F. Filthaut, G. Fiorillo, M. Fiorini, S. Fogarty, W. Foreman, J. Fowler, J. Franc, K. Francis, D. Franco, J. Franklin, J. Freeman, J. Fried, A. Friedland, M. Fucci, S. Fuess, I. K. Furic, K. Furman, A. P. Furmanski, R. Gaba, A. Gabrielli, A. M Gago, F. Galizzi, H. Gallagher, M. Galli, N. Gallice, V. Galymov, E. Gamberini, T. Gamble, R. Gandhi, S. Ganguly, F. Gao, S. Gao, D. Garcia-Gamez, M. Á. García-Peris, S. Gardiner, A. Gartman, A. Gauch, P. Gauzzi, S. Gazzana, G. Ge, N. Geffroy, B. Gelli, S. Gent, L. Gerlach, A. Ghosh, T. Giammaria, D. Gibin, I. Gil-Botella, A. Gioiosa, S. Giovannella, A. K. Giri, V. Giusti, D. Gnani, O. Gogota, S. Gollapinni, K. Gollwitzer, R. A. Gomes, L. S. Gomez Fajardo, D. Gonzalez-Diaz, J. Gonzalez-Santome, M. C. Goodman, S. Goswami, C. Gotti, J. Goudeau, C. Grace, E. Gramellini, R. Gran, P. Granger, C. Grant, D. R. Gratieri, G. Grauso, P. Green, S. Greenberg, W. C. Griffith, K. Grzelak, L. Gu, W. Gu, V. Guarino, M. Guarise, R. Guenette, M. Guerzoni, D. Guffanti, A. Guglielmi, F. Y. Guo, A. Gupta, V. Gupta, G. Gurung, D. Gutierrez, P. Guzowski, M. M. Guzzo, S. Gwon, A. Habig, L. Haegel, R. Hafeji, L. Hagaman, A. Hahn, J. Hakenmüller, T. Hamernik, P. Hamilton, J. Hancock, M. Handley, F. Happacher, B. Harris, D. A. Harris, L. Harris, A. L. Hart, J. Hartnell, T. Hartnett, J. Harton, T. Hasegawa, C. M. Hasnip, R. Hatcher, S. Hawkins, J. Hays, M. He, A. Heavey, K. M. Heeger, A. Heindel, J. Heise, P. Hellmuth, L. Henderson, K. Herner, V. Hewes, A. Higuera, A. Himmel, E. Hinkle, L. R. Hirsch, J. Ho, J. Hoefken Zink, J. Hoff, A. Holin, T. Holvey, C. Hong, S. Horiuchi, G. A. Horton-Smith, R. Hosokawa, T. Houdy, B. Howard, R. Howell, I. Hristova, M. S. Hronek, H. Hua, J. Huang, R. G. Huang, X. Huang, Z. Hulcher, A. Hussain, G. Iles, N. Ilic, A. M. Iliescu, R. Illingworth, G. Ingratta, A. Ioannisian, M. Ismerio Oliveira, C. M. Jackson, V. Jain, E. James, W. Jang, B. Jargowsky, D. Jena, I. Jentz, C. Jiang, J. Jiang, A. Jipa, J. H. Jo, F. R. Joaquim, W. Johnson, C. Jollet, R. Jones, N. Jovancevic, M. Judah, C. K. Jung, K. Y. Jung, T. Junk, Y. Jwa, M. Kabirnezhad, A. C. Kaboth, I. Kadenko, O. Kalikulov, D. Kalra, M. Kandemir, S. Kar, G. Karagiorgi, G. Karaman, A. Karcher, Y. Karyotakis, S. P. Kasetti, L. Kashur, A. Kauther, N. Kazaryan, L. Ke, E. Kearns, P. T. Keener, K. J. Kelly, R. Keloth, E. Kemp, O. Kemularia, Y. Kermaidic, W. Ketchum, S. H. Kettell, N. Khan, A. Khvedelidze, D. Kim, J. Kim, M. J. Kim, S. Kim, B. King, M. King, M. Kirby, A. Kish, J. Klein, J. Kleykamp, A. Klustova, T. Kobilarcik, L. Koch, K. Koehler, L. W. Koerner, D. H. Koh, M. Kordosky, T. Kosc, V. A. Kostelecký, I. Kotler, W. Krah, R. Kralik, M. Kramer, F. Krennrich, T. Kroupova, S. Kubota, M. Kubu, V. A. Kudryavtsev, G. Kufatty, S. Kuhlmann, A. Kumar, J. Kumar, M. Kumar, P. Kumar, P. Kumar, S. Kumaran, J. Kunzmann, V. Kus, T. Kutter, J. Kvasnicka, T. Labree, M. Lachat, T. Lackey, I. Lalău, A. Lambert, B. J. Land, C. E. Lane, N. Lane, K. Lang, T. Langford, M. Langstaff, F. Lanni, J. Larkin, P. Lasorak, D. Last, A. Laundrie, G. Laurenti, E. Lavaut, H. Lay, I. Lazanu, R. LaZur, M. Lazzaroni, S. Leardini, J. Learned, T. LeCompte, G. Lehmann Miotto, R. Lehnert, M. Leitner, H. Lemoine, D. Leon Silverio, L. M. Lepin, J.-Y. Li, S. W. Li, Y. Li, R. Lima, C. S. Lin, D. Lindebaum, S. Linden, R. A. Lineros, A. Lister, B. R. Littlejohn, J. Liu, Y. Liu, S. Lockwitz, I. Lomidze, K. Long, J. Lopez, I. López de Rego, N. López-March, J. M. LoSecco, A. Lozano Sanchez, X.-G. Lu, K. B. Luk, X. Luo, E. Luppi, A. A. Machado, P. Machado, C. T. Macias, J. R. Macier, M. MacMahon, S. Magill, C. Magueur, K. Mahn, A. Maio, N. Majeed, A. Major, K. Majumdar, A. Malige, S. Mameli, M. Man, R. C. Mandujano, J. Maneira, S. Manly, K. Manolopoulos, M. Manrique Plata, S. Manthey Corchado, L. Manzanillas-Velez, E. Mao, M. Marchan, A. Marchionni, D. Marfatia, C. Mariani, J. Maricic, F. Marinho, A. D. Marino, T. Markiewicz, F. Das Chagas Marques, M. Marshak, C. M. Marshall, J. Marshall, L. Martina, J. Martín-Albo, D. A. Martinez Caicedo, M. Martinez-Casales, F. Martínez López, S. Martynenko, V. Mascagna, A. Mastbaum, M. Masud, F. Matichard, G. Matteucci, J. Matthews, C. Mauger, N. Mauri, K. Mavrokoridis, I. Mawby, F. Mayhew, T. McAskill, N. McConkey, B. McConnell, K. S. McFarland, C. McGivern, C. McGrew, A. McNab, C. McNulty, J. Mead, L. Meazza, V. C. N. Meddage, A. Medhi, M. Mehmood, B. Mehta, P. Mehta, F. Mei, P. Melas, L. Mellet, T. C. D. Melo, O. Mena, H. Mendez, D. P. Méndez, A. Menegolli, G. Meng, A. C. E. A. Mercuri, A. Meregaglia, M. D. Messier, S. Metallo, W. Metcalf, M. Mewes, H. Meyer, T. Miao, J. Micallef, A. Miccoli, G. Michna, R. Milincic, F. Miller, G. Miller, W. Miller, A. Minotti, L. Miralles Verge, C. Mironov, S. Miscetti, C. S. Mishra, P. Mishra, S. R. Mishra, D. Mladenov, I. Mocioiu, A. Mogan, R. Mohanta, T. A. Mohayai, N. Mokhov, J. Molina, L. Molina Bueno, E. Montagna, A. Montanari, C. Montanari, D. Montanari, D. Montanino, L. M. Montaño Zetina, M. Mooney, A. F. Moor, M. Moore, Z. Moore, D. Moreno, G. Moreno-Granados, O. Moreno-Palacios, L. Morescalchi, C. Morris, E. Motuk, C. A. Moura, G. Mouster, W. Mu, L. Mualem, J. Mueller, M. Muether, A. Muir, Y. Mukhamejanov, A. Mukhamejanova, M. Mulhearn, D. Munford, L. J. Munteanu, H. Muramatsu, J. Muraz, M. Murphy, T. Murphy, A. Mytilinaki, J. Nachtman, Y. Nagai, S. Nagu, D. Naples, S. Narita, J. Nava, A. Navrer-Agasson, N. Nayak, M. Nebot-Guinot, A. Nehm, J. K. Nelson, O. Neogi, J. Nesbit, M. Nessi, D. Newbold, M. Newcomer, D. Newmark, R. Nichol, F. Nicolas-Arnaldos, A. Nielsen, A. Nikolica, J. Nikolov, E. Niner, X. Ning, K. Nishimura, A. Norman, A. Norrick, P. Novella, A. Nowak, J. A. Nowak, M. Oberling, J. P. Ochoa-Ricoux, S. Oh, S. B. Oh, A. Olivier, T. Olson, Y. Onel, Y. Onishchuk, A. Oranday, M. Osbiston, J. A. Osorio Vélez, L. O’Sullivan, L. Otiniano Ormachea, L. Pagani, G. Palacio, O. Palamara, S. Palestini, J. M. Paley, M. Pallavicini, C. Palomares, S. Pan, M. Panareo, P. Panda, V. Pandey, W. Panduro Vazquez, E. Pantic, V. Paolone, A. Papadopoulou, R. Papaleo, D. Papoulias, S. Paramesvaran, J. Park, S. Parke, S. Parsa, S. Parveen, M. Parvu, D. Pasciuto, S. Pascoli, L. Pasqualini, J. Pasternak, G. Patel, J. L. Paton, C. Patrick, L. Patrizii, R. B. Patterson, T. Patzak, A. Paudel, J. Paul, L. Paulucci, Z. Pavlovic, G. Pawloski, D. Payne, A. Peake, V. Pec, E. Pedreschi, S. J. M. Peeters, W. Pellico, E. Pennacchio, A. Penzo, O. L. G. Peres, Y. F. Perez Gonzalez, L. Pérez-Molina, C. Pernas, J. Perry, D. Pershey, G. Pessina, G. Petrillo, C. Petta, R. Petti, M. Pfaff, V. Pia, G. M. Piacentino, L. Pickering, L. Pierini, F. Pietropaolo, V. L. Pimentel, G. Pinaroli, S. Pincha, J. Pinchault, K. Pitts, P. Plesniak, K. Pletcher, K. Plows, C. Pollack, T. Pollmann, F. Pompa, X. Pons, N. Poonthottathil, V. Popov, F. Poppi, J. Porter, L. G. Porto Paixão, M. Potekhin, M. Pozzato, R. Pradhan, T. Prakash, M. Prest, F. Psihas, D. Pugnere, D. Pullia, X. Qian, J. Queen, J. L. Raaf, M. Rabelhofer, V. Radeka, J. Rademacker, F. Raffaelli, A. Rafique, A. Rahe, S. Rajagopalan, M. Rajaoalisoa, I. Rakhno, L. Rakotondravohitra, M. A. Ralaikoto, L. Ralte, M. A. Ramirez Delgado, B. Ramson, S. S. Randriamanampisoa, A. Rappoldi, G. Raselli, T. Rath, P. Ratoff, R. Ray, H. Razafinime, R. F. Razakamiandra, E. M. Rea, J. S. Real, B. Rebel, R. Rechenmacher, J. Reichenbacher, S. D. Reitzner, E. Renner, S. Repetto, S. Rescia, F. Resnati, C. Reynolds, M. Ribas, S. Riboldi, C. Riccio, G. Riccobene, J. S. Ricol, M. Rigan, A. Rikalo, E. V. Rincón, A. Ritchie-Yates, D. Rivera, A. Robert, A. Roberts, E. Robles, M. Roda, D. Rodas Rodríguez, M. J. O. Rodrigues, J. Rodriguez Rondon, S. Rosauro-Alcaraz, P. Rosier, D. Ross, M. Rossella, M. Ross-Lonergan, T. Rotsy, N. Roy, P. Roy, P. Roy, C. Rubbia, D. Rudik, A. Ruggeri, G. Ruiz Ferreira, K. Rushiya, B. Russell, S. Sacerdoti, N. Saduyev, S. K. Sahoo, N. Sahu, S. Sakhiyev, P. Sala, G. Salmoria, S. Samanta, M. C. Sanchez, A. Sánchez-Castillo, P. Sanchez-Lucas, D. A. Sanders, S. Sanfilippo, D. Santoro, N. Saoulidou, P. Sapienza, I. Sarcevic, I. Sarra, G. Savage, V. Savinov, G. Scanavini, A. Scanu, A. Scaramelli, T. Schefke, H. Schellman, S. Schifano, P. Schlabach, D. Schmitz, A. W. Schneider, K. Scholberg, A. Schroeder, A. Schukraft, B. Schuld, S. Schwartz, A. Segade, E. Segreto, A. Selyunin, C. R. Senise, J. Sensenig, S. H. Seo, D. Seppela, M. H. Shaevitz, P. Shanahan, P. Sharma, R. Kumar, S. Sharma Poudel, K. Shaw, T. Shaw, K. Shchablo, J. Shen, C. Shepherd-Themistocleous, J. Shi, W. Shi, S. Shin, S. Shivakoti, A. Shmakov, I. Shoemaker, D. Shooltz, R. Shrock, M. Siden, J. Silber, L. Simard, J. Sinclair, G. Sinev, Jaydip Singh, J. Singh, L. Singh, P. Singh, V. Singh, S. Singh Chauhan, R. Sipos, C. Sironneau, G. Sirri, K. Siyeon, K. Skarpaas, J. Smedley, J. Smith, P. Smith, J. Smolik, M. Smy, M. Snape, E. L. Snider, P. Snopok, M. Soares Nunes, H. Sobel, M. Soderberg, H. Sogarwal, C. J. Solano Salinas, S. Söldner-Rembold, N. Solomey, V. Solovov, W. E. Sondheim, M. Sorbara, M. Sorel, J. Soto-Oton, A. Sousa, K. Soustruznik, D. Souza Correia, F. Spinella, J. Spitz, N. J. C. Spooner, D. Stalder, M. Stancari, L. Stanco, J. Steenis, R. Stein, H. M. Steiner, A. F. Steklain Lisbôa, J. Stewart, B. Stillwell, J. Stock, T. Stokes, T. Strauss, L. Strigari, A. Stuart, J. G. Suarez, J. Subash, A. Surdo, L. Suter, A. Sutton, K. Sutton, Y. Suvorov, R. Svoboda, S. K. Swain, C. Sweeney, B. Szczerbinska, A. M. Szelc, A. Sztuc, A. Taffara, N. Talukdar, J. Tamara, H. A. Tanaka, S. Tang, N. Taniuchi, A. M. Tapia Casanova, A. Tapper, S. Tariq, E. Tatar, R. Tayloe, A. M. Teklu, K. Tellez Giron Flores, J. Tena Vidal, P. Tennessen, M. Tenti, K. Terao, F. Terranova, G. Testera, T. Thakore, A. Thea, S. Thomas, A. Thompson, C. Thorpe, S. C. Timm, E. Tiras, V. Tishchenko, S. Tiwari, N. Todorović, L. Tomassetti, A. Tonazzo, D. Torbunov, D. Torres Muñoz, M. Torti, M. Tortola, Y. Torun, N. Tosi, D. Totani, M. Toups, C. Touramanis, V. Trabattoni, D. Tran, J. Trevor, E. Triller, S. Trilov, D. Trotta, J. Truchon, D. Truncali, W. H. Trzaska, Y. Tsai, Y.-T. Tsai, Z. Tsamalaidze, K. V. Tsang, N. Tsverava, S. Z. Tu, S. Tufanli, C. Tunnell, J. Turner, M. Tuzi, M. Tzanov, M. A. Uchida, J. Ureña González, J. Urheim, T. Usher, H. Utaegbulam, S. Uzunyan, M. R. Vagins, P. Vahle, G. A. Valdiviesso, E. Valencia, R. Valentim, Z. Vallari, E. Vallazza, J. W. F. Valle, R. Van Berg, D. V. Forero, A. Vannozzi, M. Van Nuland-Troost, F. Varanini, D. Vargas Oliva, N. Vaughan, K. Vaziri, A. Vázquez-Ramos, J. Vega, J. Vences, S. Ventura, A. Verdugo, M. Verzocchi, K. Vetter, M. Vicenzi, H. Vieira de Souza, C. Vignoli, C. Vilela, E. Villa, S. Viola, B. Viren, G. V. Stenico, R. Vizarreta, A. P. Vizcaya Hernandez, S. Vlachos, G. Vorobyev, Q. Vuong, A. V. Waldron, L. Walker, H. Wallace, M. Wallach, J. Walsh, T. Walton, L. Wan, B. Wang, H. Wang, J. Wang, M. H. L. S. Wang, X. Wang, Y. Wang, D. Warner, L. Warsame, M. O. Wascko, D. Waters, A. Watson, K. Wawrowska, A. Weber, C. M. Weber, M. Weber, H. Wei, A. Weinstein, S. Westerdale, M. Wetstein, K. Whalen, A. J. White, L. H. Whitehead, D. Whittington, F. Wieler, J. Wilhlemi, M. J. Wilking, A. Wilkinson, C. Wilkinson, F. Wilson, R. J. Wilson, P. Winter, J. Wolcott, J. Wolfs, T. Wongjirad, A. Wood, K. Wood, E. Worcester, M. Worcester, K. Wresilo, M. Wright, M. Wrobel, S. Wu, W. Wu, Z. Wu, M. Wurm, J. Wyenberg, B. M. Wynne, Y. Xiao, I. Xiotidis, B. Yaeggy, N. Yahlali, E. Yandel, G. Yang, J. Yang, T. Yang, A. Yankelevich, L. Yates, U. Yevarouskaya, K. Yonehara, T. Young, B. Yu, H. Yu, J. Yu, W. Yuan, M. Zabloudil, R. Zaki, J. Zalesak, L. Zambelli, B. Zamorano, A. Zani, O. Zapata, L. Zazueta, G. P. Zeller, J. Zennamo, J. Zettlemoyer, K. Zeug, C. Zhang, S. Zhang, Y. Zhang, L. Zhao, M. Zhao, E. D. Zimmerman, S. Zucchelli, V. Zutshi, R. Zwaska and On behalf of the DUNE Collaborationadd Show full author list remove Hide full author list
Instruments 2026, 10(1), 18; https://doi.org/10.3390/instruments10010018 - 17 Mar 2026
Abstract
The 2x2 Demonstrator, a prototype for the Deep Underground Neutrino Experiment (DUNE) liquid argon (LAr) Near Detector, was exposed to the Neutrinos from the Main Injector (NuMI) neutrino beam at Fermi National Accelerator Laboratory (Fermilab). This detector is a prototype of a new [...] Read more.
The 2x2 Demonstrator, a prototype for the Deep Underground Neutrino Experiment (DUNE) liquid argon (LAr) Near Detector, was exposed to the Neutrinos from the Main Injector (NuMI) neutrino beam at Fermi National Accelerator Laboratory (Fermilab). This detector is a prototype of a new modular design for a liquid argon time-projection chamber (LArTPC), comprising a two-by-two array of four modules, each further segmented into two optically isolated LArTPCs. The 2x2 Demonstrator features a number of pioneering technologies, including a low-profile resistive field shell to establish drift fields, native 3D ionization pixelated imaging, and a high-coverage dielectric light readout system. The 2.4-tonne active mass detector is flanked upstream and downstream by supplemental solid-scintillator tracking planes, repurposed from the MINERvA experiment, which track ionizing particles exiting the argon volume. The antineutrino beam data collected by the detector over a 4.5 day period in 2024 include over 30,000 neutrino interactions in the LAr active volume—the first neutrino interactions reported by a DUNE detector prototype. During its physics-quality run, the 2x2 Demonstrator operated at a nominal drift field of 500 V/cm and maintained good LAr purity, with a stable electron lifetime of approximately 1.25 ms. This paper describes the detector and supporting systems, summarizes the installation and commissioning, and presents the initial validation of collected NuMI beam and off-beam self-triggers. In addition, it highlights observed interactions in the detector volume, including candidate muon antineutrino events. Full article
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27 pages, 1894 KB  
Article
Influence of Free and Microencapsulated Extracts from Onion Peels on the Performance of Fortified Fresh Cheese
by Sara M. Ferreira and Lúcia Santos
Foods 2026, 15(6), 1048; https://doi.org/10.3390/foods15061048 - 17 Mar 2026
Abstract
As a strategy to valorise onion peel (OP), a phenolic-rich extract was obtained and microencapsulated using the double emulsion technique for improved stability. Both free and microencapsulated OP extracts were added to fresh cheese to enhance its nutritional composition. The extract exhibited a [...] Read more.
As a strategy to valorise onion peel (OP), a phenolic-rich extract was obtained and microencapsulated using the double emulsion technique for improved stability. Both free and microencapsulated OP extracts were added to fresh cheese to enhance its nutritional composition. The extract exhibited a high total phenolic content (TPC) and strong antioxidant capacity towards ABTS and DPPH radicals, with IC50 of 9.5 and 36.1 mgExtract∙L−1, respectively. The extract demonstrated inhibitory capacities of 71% against α-amylase and 82% towards β-glucosidase. Quercetin was identified as the main phenolic compound, while potassium was the predominant mineral. The microencapsulation yielded an encapsulation efficiency of 91%, with an average particle size of 17.9 µm. Incorporating free and microencapsulated OP extract into the fresh cheese reduced syneresis, a favourable outcome, while preserving moisture levels, protein and ash content, and the pH. The incorporation of the free and microencapsulated OP extract enhanced the TPC and DPPH scavenging capacity of the cheeses. Results demonstrated the potential of using OP extract to enhance the antioxidant properties of fresh cheese, and to reduce syneresis, while promoting sustainability. These outcomes are particularly relevant from an industrial point of view, since an increase in antioxidant content might contribute to extending the product shelf-life. Full article
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30 pages, 6886 KB  
Article
Effect of Synbiotics on Hygienic Quality of Feed and Pork
by Elżbieta Kukier, Łukasz Bocian, Monika Pytka and Katarzyna Śliżewska
Animals 2026, 16(6), 933; https://doi.org/10.3390/ani16060933 - 16 Mar 2026
Abstract
The study aimed to determine the effect of newly developed multi-strain synbiotics on the hygienic quality of feed for pigs and pork edible raw materials originating from animals supplemented with synbiotics. The trial was conducted on 54 feed samples and 54 pigs. Animals [...] Read more.
The study aimed to determine the effect of newly developed multi-strain synbiotics on the hygienic quality of feed for pigs and pork edible raw materials originating from animals supplemented with synbiotics. The trial was conducted on 54 feed samples and 54 pigs. Animals were divided into six groups corresponding to three synbiotic preparations (A, B, C), two positive controls with probiotics (D, E), and a negative control (K) with no feed additive. The supplementation of the sow’s basal diet with the feed additive started 10 days before farrowing and continued for 38 days, covering the lactation period. The diet of piglets from groups A-E was supplemented with the feed additive starting from two weeks of age until slaughter at 24 weeks of age. Feed and animal raw materials were tested for the presence of Salmonella spp., Campylobacter spp., L. monocytogenes, Clostridium spp., C. perfringens, C. botulinum, and the count of AMB, TPC, fungi, ASFB, C. perfringens, Enterobacteriaceae family, E. coli, presumptive B. cereus, CoPS, HS, LAB, yeast probiotic strains, and Enterococcus spp. Statistically significant differences were found between individual groups in the count of C. perfringens, AMB, TPC, Enterococcus spp., and LAB in all feeds tested. Moreover, synbiotics A, B, and C lowered the count of AMB, TPC, and LAB, and synbiotics A and C decreased Enterobacteriaceae family contamination in both total raw materials as well as raw materials of fatteners. The higher effectiveness of synbiotics was associated with a higher number of probiotic strains in one preparation. Our study found that dietary supplementation of synbiotics alters the occurrence of C. perfringens in feed and enhances the hygienic quality of edible pork raw materials. Full article
(This article belongs to the Section Animal Products)
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17 pages, 540 KB  
Article
Evaluation of Physicochemical Properties, Bioactive Composition, and Antioxidant Activity of Prunus armeniaca L. Cultivars for Functional Food and Nutraceutical Development
by Ceren Birinci, Anna Kurek-Górecka, Elsevar Asadov, Zenon P. Czuba and Sevgi Kolaylı
Molecules 2026, 31(6), 988; https://doi.org/10.3390/molecules31060988 - 16 Mar 2026
Abstract
Advancing the characterization of bioactive compounds in Prunus armeniaca L. is critical for identifying high-value cultivars with enhanced nutritional and functional potential. In this study, selected apricot varieties were evaluated, with particular emphasis on their sugar composition, phenolic profile, and antioxidant capacity. Sugar [...] Read more.
Advancing the characterization of bioactive compounds in Prunus armeniaca L. is critical for identifying high-value cultivars with enhanced nutritional and functional potential. In this study, selected apricot varieties were evaluated, with particular emphasis on their sugar composition, phenolic profile, and antioxidant capacity. Sugar and phenolic compounds were analyzed using RP-HPLC-RID and RP-HPLC-PDA methods, respectively. Total phenolic content (TPC), total flavonoid content (TFC), and ascorbic acid levels were determined, and antioxidant activities were assessed using FRAP and DPPH assays. Distinct varietal differences were observed among the apricot cultivars. Sucrose, glucose, and fructose were identified as the dominant sugars contributing to the nutritional quality of the fruits. The phenolic composition was characterized by high levels of flavonoids and phenolic acids, which were strongly associated with antioxidant activity. Among the studied cultivars, Amasya (A-7) and Nakhchivan Adi Şalax (A-2) exhibited markedly higher total phenolic and flavonoid contents, as well as superior antioxidant capacities compared with other varieties. These findings demonstrate substantial biochemical variability among apricot cultivars and highlight A-7 and A-2 as promising candidates for functional food and nutraceutical applications due to their rich bioactive compound content and strong antioxidant potential. Full article
(This article belongs to the Special Issue Bioactive Compounds in Foods and Their By-Products)
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17 pages, 2390 KB  
Article
Spectrophotometric Estimation of Polyphenolic Compounds in Willowherbs (Epilobium angustifolium L. and E. hirsutum L.) and Implications for Genetic Resource Conservation
by Juozas Labokas and Akvilė Vilutytė
Plants 2026, 15(6), 911; https://doi.org/10.3390/plants15060911 - 16 Mar 2026
Abstract
There is a growing interest in natural bioactive substances, particularly plant-derived secondary metabolites. Polyphenols constitute one of the largest and most significant groups of these metabolites. Rosebay willowherb (Epilobium angustifolium) is well known in traditional medicine and can serve as a [...] Read more.
There is a growing interest in natural bioactive substances, particularly plant-derived secondary metabolites. Polyphenols constitute one of the largest and most significant groups of these metabolites. Rosebay willowherb (Epilobium angustifolium) is well known in traditional medicine and can serve as a reference species for studying its less-known congener, hairy willowherb (E. hirsutum), thereby expanding knowledge of medicinal plants. This study aimed to quantitatively estimate and compare the total phenolic content (TPC) and total flavonoid content (TFC) in the leaves and flowers of Epilobium angustifolium and E. hirsutum, and to identify populations with the highest phytochemical potential. TPC and TFC were quantified using the Folin–Ciocalteu and aluminium chloride (AlCl3) colorimetric assays, respectively, with resulting values regarded as estimates due to the non-specificity of these assays. The results showed that, in terms of TPC, E. angustifolium leaves accumulated 132 ± 3.4 mg_GAE/g (milligrams of gallic acid equivalent per gram of dry plant mass), exceeding those of E. hirsutum by 16.8%; in flowers, the respective values were 153 ± 3 mg_GAE/g, a difference of 1.3%. Regarding TFC, E. angustifolium leaves contained 25 ± 1.4 mg_RE/g (milligrams of rutin equivalent per gram of dry plant mass), which was 20% lower than in E. hirsutum, whereas its flowers accumulated 44 ± 1.4 mg_RE/g, representing a 63% higher content compared with E. hirsutum. The study may contribute to the selection of the Epilobium populations for genetic resource conservation and sustainable utilisation. Full article
(This article belongs to the Section Phytochemistry)
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23 pages, 4004 KB  
Article
Cynara cardunculus subsp. cardunculus (Wild Artichoke) Extract: Antimicrobial Activity and Cytotoxicity, Apoptosis Induction, and Chemosensitization in Colon Cancer Cells
by Simone Bianchi, Rosaria Acquaviva, Claudia Di Giacomo, Barbara Tomasello, Francesco Pappalardo, Alessandra Pino, Irina Naletova, Donata Condorelli, Alfonsina La Mantia, Ignazio Barbagallo, Cinzia Randazzo and Giuseppe Antonio Malfa
Biology 2026, 15(6), 475; https://doi.org/10.3390/biology15060475 - 15 Mar 2026
Abstract
Colorectal cancer (CRC) is still a leading cause of cancer-related death worldwide, and often, conventional chemotherapeutics exhibit limited efficacy. The hydroalcoholic leaf extract of Cynara cardunculus subsp. cardunculus (wild artichoke) was investigated for its anticancer potential in CRC and effects on enteric pathogens. [...] Read more.
Colorectal cancer (CRC) is still a leading cause of cancer-related death worldwide, and often, conventional chemotherapeutics exhibit limited efficacy. The hydroalcoholic leaf extract of Cynara cardunculus subsp. cardunculus (wild artichoke) was investigated for its anticancer potential in CRC and effects on enteric pathogens. Nine phenolic compounds were identified by high-performance liquid chromatography with diode-array detection (HPLC-DAD), and spectrophotometric analyses were applied for total phenolic (TPC: 178.33 mg GAE/g) and total flavonoid (TFC: 52.21 mg CE/g) content quantification. The extract exhibited good antioxidant activity on DPPH (IC50: 21.35 μg/mL), −•O2 (IC50: 1.56 μg/mL), and H2O2 (IC50: 314.73 μg/mL) and was found to inhibit the growth of pathogenic enteric bacteria, with Enterococcus faecalis and Staphylococcus aureus being the most sensitive. In CaCo-2 CRC cells, the extract induced a concentration-dependent cytotoxicity (IC50: 13.07 μg/mL at 24 h) through increased production of reactive oxygen species (ROS), upregulation of Nrf2, and induction of apoptosis, as evidenced by elevated p53, Bax, cytochrome c, and caspase-3 levels. No necrosis, measured by lactate dehydrogenase (LDH) release, or toxicity to HFF-1 normal fibroblasts was observed at concentrations up to 50 μg/mL. Additionally, CCE demonstrated synergistic effects with 5-FU (combination index < 0.8). This evidence suggests that CCE exhibits selective antitumor activity and chemosensitizing properties, supporting its possible development as an adjunctive agent in CRC therapy. Full article
(This article belongs to the Section Plant Science)
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37 pages, 7938 KB  
Review
Advanced Interface Modeling and Characterization of Thermoplastic Fusion Bonds for Sustainable Structural Applications: An In-Depth Review
by Alfonso Magliano, Nicola Meola and Valentino Paolo Berardi
Appl. Sci. 2026, 16(6), 2802; https://doi.org/10.3390/app16062802 - 14 Mar 2026
Abstract
In the transition toward the circular economy and high-rate manufacturing, thermoplastic composites (TPCs) are increasingly outperforming conventional thermosets due to their superior fracture toughness, recyclability, and rapid processing capabilities. Among available joining techniques, fusion bonding stands as the main mechanism for structural integration, [...] Read more.
In the transition toward the circular economy and high-rate manufacturing, thermoplastic composites (TPCs) are increasingly outperforming conventional thermosets due to their superior fracture toughness, recyclability, and rapid processing capabilities. Among available joining techniques, fusion bonding stands as the main mechanism for structural integration, as it bypasses the fundamental limitations of traditional assembly: the weight penalties and stress concentrations inherent in mechanical fastening, as well as the long cycle times and interfacial weaknesses often associated with adhesive bonding. This paper provides a comprehensive evaluation of welded TPC joints through a dual-methodological approach: a historical narrative review tracing the evolution of fusion bonding principles, and an in-depth literature review of 25 key articles published since 2015. The analysis focuses on the intersection of experimental characterization—quantifying interfacial strength and fracture energy—and numerical modeling techniques, such as Cohesive Zone Modeling (CZM) and progressive damage analysis. By categorizing recent advancements into specific thematic pillars, this study correlates process-induced phenomena with macro-scale mechanical performance and virtual predictive accuracy. The findings synthesize decades of foundational knowledge with cutting-edge research trends, highlighting the transition from empirical testing to computational design. This work serves as a roadmap for achieving standardized, high-performance thermoplastic assemblies in safety-critical applications. Full article
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20 pages, 1838 KB  
Article
A New, Cost-Effective Facial Skin Care Serum, Rich in Bioactive Ingredients Isolated from Centaurea cyanus L. Flower Petals
by Wiktoria Orzechowicz, Tomasz Wasilewski, Zofia Hordyjewicz-Baran, Natalia Stanek-Wandzel, Joanna Fleszer and Katarzyna Malorna
Cosmetics 2026, 13(2), 69; https://doi.org/10.3390/cosmetics13020069 - 14 Mar 2026
Abstract
This study developed a facial skin care serum based on extracts from cornflower petals (Centaurea cyanus L.). The study applied the concept of loan extraction, in which the ingredients of the final cosmetic product were used as the extraction medium. The extracts [...] Read more.
This study developed a facial skin care serum based on extracts from cornflower petals (Centaurea cyanus L.). The study applied the concept of loan extraction, in which the ingredients of the final cosmetic product were used as the extraction medium. The extracts obtained were analyzed for stability and physicochemical parameters, as well as phytochemical composition, total phenolic content (TPC) and antioxidant activity. Among the tested solvents, the extract prepared with 1,3-propanediol aqueous solution exhibited the highest TPC (13.5 mg GAE/g) and demonstrated the strongest antioxidant activity measured by ABTS (20.12 d ± 0.07 mgTE/g). HPLC-MS/MS analysis revealed that the extract obtained using this medium showed the most complex profile of bioactive compounds among all the studied samples. After the extraction process the borrowed ingredients were returned together with the extracted ingredients to prepare cosmetic preparations—facial skin care serums. The finished model cosmetic products were evaluated for physicochemical parameters (stability, viscosity, color) and irritation potential, considering the extract used, which varied depending on the extraction agent borrowed from the formulated composition. The preparation obtained on the basis of an aqueous solution of 1,3-propanediol as an extraction agent showed the most favorable properties in terms of irritation, determined on the basis of the zein number (15 ± 4 mgN/100 mL), compared to facial skin face serum without extract addition (21 ± 1 mg N/100 mL). This extract was also characterized by the highest values of TPC and antioxidant activity, hence the observed reduction in irritation potential can be attributed to the beneficial effects of bioactive compounds derived from Centaurea cyanus L. extract. Full article
(This article belongs to the Section Cosmetic Formulations)
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23 pages, 1543 KB  
Article
Phenolic-Rich Wild Edible Macrofungi: Antimicrobial Activity and Antioxidant Potential
by Elif Ildız and Elif Yürümez Canpolat
Molecules 2026, 31(6), 978; https://doi.org/10.3390/molecules31060978 - 14 Mar 2026
Abstract
This study evaluated the antimicrobial and antioxidant activities and chemical properties of four wild edible macrofungi—Tuber aestivum (Wulfen) Spreng., Terfezia claveryi Chatin, Agaricus arvensis Schaeff. and Bovistella utriformis (Bull.) Demoulin & Rebriev—collected from different regions of Türkiye, with particular emphasis on the [...] Read more.
This study evaluated the antimicrobial and antioxidant activities and chemical properties of four wild edible macrofungi—Tuber aestivum (Wulfen) Spreng., Terfezia claveryi Chatin, Agaricus arvensis Schaeff. and Bovistella utriformis (Bull.) Demoulin & Rebriev—collected from different regions of Türkiye, with particular emphasis on the role of phenolic compounds. Methanol and hexane extracts were assessed for antimicrobial activity against Gram-positive, Gram-negative, multidrug-resistant (MDR) bacterial strains, and Candida albicans using minimum inhibitory concentration (MIC) assays. Total phenolic content (TPC) was determined, and antioxidant capacities were evaluated using DPPH (2,2-diphenyl-1-picrylhydrazyl), ABTS (2,2′-azinobis-(3-ethylbenzothiazoline-6-sulfonic acid)), FRAP (ferric reducing antioxidant power), and CUPRAC (cupric ion reducing antioxidant capacity) assays. The chemical profiles of hexane extracts were characterized by GC–MS analysis, whereas methanol extracts were analyzed by LC–MS/MS. Methanol extracts with high content of phenolic compounds exhibited markedly higher antimicrobial activity than hexane extracts, especially against Gram-positive bacteria. B. utriformis and A. arvensis displayed the highest phenolic contents (29.61 ± 0.6 and 27.14 ± 0.59 mg GAE/g DW, respectively) and antioxidant activities, revealing a strong positive correlation between TPC and antioxidant capacity. LC–MS/MS analysis revealed catechin, cinnamic acid, and caffeic acid as prominent phenolic constituents, highlighting the role of polyphenols in the observed bioactivity. GC–MS profiling predominantly identified fatty acid methyl esters, particularly linoleic and oleic acids, together with minor phenolic derivatives, suggesting a possible synergistic interaction contributing to the overall biological potential. The results highlight phenolic-rich macrofungi as valuable natural sources of antioxidant and antimicrobial agents with potential applications. Full article
(This article belongs to the Special Issue Advances in Phenolic Based Complexes)
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19 pages, 1588 KB  
Article
Fortification of a Greek Distilled Spirit by Citrus sinensis Antioxidants Extracted Using Green Recovery via Lecithin-Based Extraction: Optimization of Extraction and Stability
by Eleni Bozinou, Vassilis Athanasiadis, Olga Stergiou, Marina Tsakiridou, Stavros I. Lalas and Arhontoula Chatzilazarou
Processes 2026, 14(6), 917; https://doi.org/10.3390/pr14060917 - 12 Mar 2026
Viewed by 176
Abstract
The sustainable valorization of citrus processing by-products represents a key challenge for the food industry, aiming to reduce waste while recovering valuable bioactive compounds. In this study, a cloud point extraction strategy was developed using soy lecithin as a natural, food-grade surfactant to [...] Read more.
The sustainable valorization of citrus processing by-products represents a key challenge for the food industry, aiming to reduce waste while recovering valuable bioactive compounds. In this study, a cloud point extraction strategy was developed using soy lecithin as a natural, food-grade surfactant to isolate phenolic antioxidants from orange juice industry residues. Response Surface Methodology was applied to two streams of orange juice by-products, to evaluate the combined effects of pH, NaCl concentration, and lecithin content on extraction efficiency, with total polyphenolic content, DPPH radical scavenging activity, and ferric reducing antioxidant power serving as response variables. Partial Least Squares (PLS) analysis was additionally employed to integrate all antioxidant responses and identify a multivariate optimum. The optimized conditions (pH 3.4, 12% NaCl, 11% lecithin) enabled maximal recovery of antioxidant constituents, highlighting the effectiveness of lecithin-based micellar systems. To assess practical applicability, the optimized extract from the oil emulsion residue (Stream A) was incorporated into tsipouro, a traditional Greek distillate, and its stability was monitored under controlled light and temperature conditions for 30 days at three concentration levels. Results demonstrated that both environmental factors significantly influenced antioxidant retention and physical stability, underscoring the importance of formulation design. Specifically, high gel concentration at 2% w/v, low temperature at 20 °C and light exposure provided the highest overall desirability for TPC, FRAP, and DPPH responses. Overall, this work introduces a green, scalable, and food-compatible extraction approach that not only supports circular economy principles but also opens new opportunities for the development of functional alcoholic beverages enriched with natural antioxidants. Full article
(This article belongs to the Special Issue Analysis and Processes of Bioactive Components in Natural Products)
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24 pages, 4596 KB  
Article
Study on the Antioxidant Activity of Fermented Broad Bean–Mulberry Composite Juice Based on In Vitro Digestion and Non-Targeted Metabolomic Analysis
by Yue Zhao, Weiqiao Pang, Ying Wang, Wei Sun, Ruinan Gao, Zili Zhao and Bing Li
Foods 2026, 15(6), 991; https://doi.org/10.3390/foods15060991 - 11 Mar 2026
Viewed by 161
Abstract
Fermentation is a widely utilized technology that efficiently enriches bioactive compounds, thereby enhancing the bioactivity of food. This study aimed to investigate the release of the total polyphenol content (TPC) and flavonoid content (TFC), changes in antioxidant activity, and in vitro relative abundance [...] Read more.
Fermentation is a widely utilized technology that efficiently enriches bioactive compounds, thereby enhancing the bioactivity of food. This study aimed to investigate the release of the total polyphenol content (TPC) and flavonoid content (TFC), changes in antioxidant activity, and in vitro relative abundance trends of phenolic metabolites in the fermented composite juice of kidney beans and mulberries. An in vitro simulated gastric and intestinal digestion method was employed to examine the release patterns of polyphenols and flavonoids, along with alterations in antioxidant activity during the gastrointestinal digestion of the fermented composite juice. Non-targeted metabolomics LC-MS technology was employed to detect changes in the relative abundance and enrichment of phenolic metabolites during fermentation and digestion stages. The results indicated that after simulated digestion, the polyphenol content increased by 1.42-fold and the flavonoid content by 2.53-fold compared to pre-digestion. The scavenging rates for DPPH radicals, hydroxyl radicals, and ABTS radicals reached 85.44%, 94.77%, and 76.12%, respectively. Non-targeted metabolomic investigation through KEGG pathway enrichment showed associations between phenolic metabolites and antioxidant activity. During fermentation and digestion, daidzein, genistein, quercetin, and catechin may be the potential compounds contributing to the enhanced antioxidant activity of FBMJ. Among these, phenolic metabolites are significantly enriched in the biosynthetic pathways of flavonoids and flavanols. This study has elucidated the metabolic variations between the fermentation and digestion stages of fermented composite juice from a metabolomics perspective, providing preliminary in vitro research evidence and theoretical clues for developing it as a functional food with antioxidant potential. Full article
(This article belongs to the Section Foodomics)
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13 pages, 620 KB  
Article
Investigation of Physicochemical, Functional, and Nutritional Properties of Ice Cream Fortified with Melon and Watermelon Kernel Oils
by Mehmet Kilinç and Gökhan Akarca
Appl. Sci. 2026, 16(6), 2666; https://doi.org/10.3390/app16062666 - 11 Mar 2026
Viewed by 82
Abstract
This study aims to determine the effects of incorporating melon and watermelon kernel oils into ice cream formulations on the textural profile, mineral richness, and antioxidant activity of the product, and to investigate how oil addition optimizes critical quality parameters such as melting [...] Read more.
This study aims to determine the effects of incorporating melon and watermelon kernel oils into ice cream formulations on the textural profile, mineral richness, and antioxidant activity of the product, and to investigate how oil addition optimizes critical quality parameters such as melting characteristics and viscosity of ice cream. The parameters analyzed include dry matter percentage, first drop, meltdown, overrun, antioxidant content, color and textural characteristics, total phenolic content, and mineral matter content. Among the samples, the highest first drop, meltdown, and overrun values were determined to be 31.67 s, 122.08 s, and 33.34%, respectively, in ice cream samples produced with 0.3% melon kernel oil addition, and the highest DPPH, ABTS, FRAP, and TPC in samples produced with a 0.3% addition of watermelon kernel oil, with values of 81.88%, 9.90 µmol TE/g, 2.06 µmol TE/g, and 128.72 mg GAE/100 g, respectively. Likewise, the lowest firmness, highest consistency, cohesiveness, and viscosity index values (15.53 g, 456.34 g.s, −21.50 g.s, and −8.16) were also found in the same ice cream samples. P, Mg, Ca, Na, K, Fe, and Zn contents increased with increasing addition of seed oil, and P showed the highest increase among the samples, followed by Na, K, and Ca, respectively. The samples demonstrating the most significant increase in mineral content were those produced with 0.3% melon kernel oil. Full article
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17 pages, 560 KB  
Article
Cold Screw Pressing Followed by Lyophilisation Enhances Antioxidant Compound Retention in Rosehip Waste Powder
by Alexandra Raluca Borşa (Bogdan), Floricuța Ranga and Cristina Anamaria Semeniuc
Appl. Sci. 2026, 16(6), 2667; https://doi.org/10.3390/app16062667 - 11 Mar 2026
Viewed by 388
Abstract
Processing rosehips generates substantial solid waste that retains valuable bioactive compounds. This study evaluated the effects of different treatments on the composition, phenolic and flavonoid contents, and antioxidant capacity of powders derived from rosehip waste. Rosehips were processed into purée by cold screw [...] Read more.
Processing rosehips generates substantial solid waste that retains valuable bioactive compounds. This study evaluated the effects of different treatments on the composition, phenolic and flavonoid contents, and antioxidant capacity of powders derived from rosehip waste. Rosehips were processed into purée by cold screw pressing or boiling, yielding raw and boiled processing waste fractions (RW and BW). These fractions were then dehydrated by hot-air drying or lyophilisation to obtain RWd, RWl, BWd, and BWl. Additionally, a previous cold screw pressing step was applied to the boiled processing waste, producing BWpd and BWpl. Cold screw pressing increased phenolic and flavonoid levels and enhanced the antioxidant capacity of the resulting waste compared with traditional boiling. The lyophilised powder derived from raw processing waste exhibited the highest total phenolic content (TPC, 27.16 mg GAE/g), total flavonoid content (TFC, 20.35 mg QUE/g), and Trolox equivalent antioxidant capacity by ABTS and DPPH (TEAC-ABTS, 89.13 µmol TE/g; TEAC-DPPH, 163.99 µmol TE/g), although at higher processing costs. As hot-air drying achieved comparable levels for TPC (20.01 mg GAE/g), TFC (19.53 mg QUE/g), TEAC-ABTS (58.01 µmol TE/g), and TEAC-DPPH (150.01 µmol TE/g), it may represent a more economical alternative to lyophilisation. These findings demonstrate the potential of rosehip-processing waste as a sustainable raw material for the development of functional food ingredients. Full article
(This article belongs to the Special Issue Biosynthesis and Applications of Natural Products)
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