The use of food agricultural wastes as a source of bioactive compounds is an alternative to reduce their environmental impact and generate the possibility of producing value-added products as functional foods. This study aimed to extract and microencapsulate the bioactive compounds from the red banana peel (Musa acuminata Colla AAA “Red”) by spray drying and to evaluate the bioaccessibility of the bioactive compounds by in vitro digestion. The microencapsulation of bioactive compounds was carried out using two wall materials gum arabic (GA) and soy protein isolate (SPI). Microencapsulation using GA and SPI proved to be an effective technique to protect the phenolic compounds, flavonoids and antioxidant capacity of banana peel extract under in vitro digestion conditions. The extract without the encapsulation process suffered a significant (p ≤ 0.05) decrease in bioactive compounds and antioxidant capacity after in vitro digestion. Although microcapsules with SPI held the bioactive compounds for longer in the matrix, no significant difference (p ≤ 0.05) in bioactive compounds retention after in vitro digestion was observed between the microcapsules with GA or SPI. These results indicate that the microcapsules obtained may be used in the food industry as potential ingredients for developing functional foods to promote health benefits.

Gels are semi-solid colloidal systems characterized by three-dimensional networks capable of retaining up to 99% of liquid while exhibiting both solid-like and liquid-like properties. A novel biphasic system, the bigel, consists of hydrogel and oleogel, enabling the encapsulation of hydrophilic and lipophilic compounds. Their structure and functionality are influenced by the distribution of gel phases (e.g., oleogel-in-hydrogel or hydrogel-in-oleogel). This study aims to review current trends in polysaccharide-based bigels derived from seeds, vegetable oils and waxes, highlighting their biocompatibility, sustainability and potential food applications. A bibliometric analysis of 157 documents using VOSviewer identified four key thematic clusters: structured materials, delivery systems, pharmaceutical applications, and physicochemical characterization. Principal component analysis revealed strong correlations between terms, while also highlighting emerging areas such as 3D printing. This analysis demonstrated that seed-derived polysaccharides, including chia seed mucilage and guar gum, improve bigel structure and rheological properties, offering sustainable plant-based alternatives. Additionally, innovations such as extrusion-based 3D printing, functional food design, controlled drug release, bioactive compound delivery, and fat replacement are helping to support the further development of these systems. Finally, bibliometric tools remain instrumental in identifying research gaps and guiding future directions in this field.

The peel from mango (Mangifera indica L.) var. “Kent” is a good source of bioactive compounds (BC). BC are sensitive to oxygen, temperature, humidity, light, and gastrointestinal digestion, which change their biological function and health benefits. This study was aimed at the extraction of the bioactive compounds present in the peel from mango var. “Kent” and their microencapsulation using spray drying (SD) and spout-fluid bed drying (SFB). The bioaccessibility of BC was also evaluated. Two consecutive extractions of 90 min at 30 °C and 80% v/v ethanol were used. The microcapsules produced via SD and SFB presented high retention and encapsulation percentages of the bioactive compounds; nevertheless, SFB showed better protection during in vitro gastrointestinal digestion. The non-encapsulated extract showed a decrease (p ≤ 0.05) of BC at the end of in vitro gastrointestinal digestion. The results show that these microcapsules might be used in the food industry as an ingredient to produce functional foods and, thereby, to obtain the health benefits that the bioactive compounds provide.

The content of minerals and bioactive compounds in wine depends on various factors, among which are the origin of the grapes, their phenolic composition, and the winemaking process. This study monitored the physicochemical parameters, phenolic compound contents, and antioxidant capacity of the red grape Vitis vinifera L. “Cabernet Sauvignon” harvested in three Mexican vineyards during the first nine days of the fermentation process. The bioactive compounds and elemental composition (determined by inductively coupled plasma–optical emission spectrometry, ICP-OES) were correlated. The fermentation process decreased from 22 to 5 °Bx in all cases, while the acidity increased from 6.5 to 8 g of tartaric acid/L, decreasing the pH. The phenolic compounds extracted during the winemaking ranged from 1400 to 1600 gallic acid equivalent/L, while the antioxidant capacity was 9 mmol Trolox equivalent. The bioactive compounds identified by HPLC were resveratrol, piceid, catechin, and epicatechin. The presence of Na, Mg, and Fe was correlated with antioxidant capacity, while higher Mn, Pb, Zn, and Cu contents were related to the presence of resveratrol, piceid, and catechin in Cabernet Sauvignon wine. Thus, certain minerals present in the soil that were transferred to the V. vinifera grapes can influence the amount and type of bioactive compounds present in the wine. The phenolic content and, therefore, the organoleptic characteristics of the wine are related to the mineral composition of the vine-growing soil (origin).

Beer is one of the oldest and most known alcoholic beverages whose organoleptic characteristics are the attributes that the consumer seeks, which is why it is essential to ensure proper quality control of the final product. Fourier transform mid-infrared (FT-MIR) spectroscopy coupled with multivariate analysis can be an alternative to traditional methods to predict quality parameters in craft beer. This study aims to develop prediction models based on FT-MIR spectroscopy to simultaneously quantify quality parameters (color, specific gravity, alcohol volume, bitterness, turbidity, pH, and total acidity) in craft beer. Additionally, principal component analysis (PCA) was applied, and it was possible to classify craft beer samples according to their style. Partial least squares (PLS1) developed the best predictive model by obtaining higher R²c (0.9999) values and lower standard error of calibration (SEC: 0.01–0.11) and standard error of prediction (SEP: 0.01–0.14) values in comparison to the models developed with the other algorithms. Specific gravity could not be predicted due to the low variability in the values. Validation and prediction with external samples confirmed the predictive capacity of the developed model. By making a comparison to traditional techniques, FT-MIR coupled with multivariate analysis has a higher advantage, since it is rapid (approximately 6 min), efficient, cheap, and eco-friendly because it does not require the use of solvents or reagents, representing an alternative to simultaneously analyzing quality parameters in craft beer.