Characterization, antioxidant activity and potential application fractionalized Szechuan pepper on fresh beef meat as natural preservative.

The pericarp of Szechuan pepper is rich in phenols and alkylamides, making it a potential source of antioxidant compounds. Despite being recognized as the primary antioxidants in Szechuan pepper, there is still limited knowledge about their application in real food systems. This study aims to identify, separate, and apply polyphenol and alkylamide fractions derived from Szechuan extracts to beef meat. Using HPLC-MS2, we identified 5 phenols and 11 alkylamides in Szechuan extracts. The quality of the minced meat was evaluated based on color, thiobarbituric acid reactive substances (TBARS), conjugated dienes, carbonyl content, Sulfhydryl content, microbiological content, and total volatile basic nitrogen content (TVB-N). Compared to the polyphenol fraction (1.25 mg/mL), alkylamide fraction (25 mg/mL), and control samples, beef samples incorporated with the polyphenol fraction (6.25 mg/mL) significantly reduced carbonyl content, TBARS, and TVB-N values at the end of storage. Furthermore, they exhibited a significant slowdown in microbial development, improved meat color stability, and preserved pH. Therefore, the use of Szechuan pepper fractions as natural preservatives in meat and meat products is an important area of research and has the potential to enhance the safety and quality of meat products.

Simultaneous quantification of total flavonoids and phenolic content in raw peanut seeds via NIR spectroscopy coupled with integrated algorithms.

Peanuts are nutritionally valuable for both humans and animals due to their high content of flavonoids and phenolic compounds. Herein, we explored the potential of near-infrared (NIR) spectroscopy coupled with efficient variable selection algorithms for quantitative prediction of total flavonoids (TFC) and total phenolics content (TPC) in raw peanut seeds. Spectrophotometrically, the reference results of the extracts for TFC and TPC were analysed and recorded. The integrated application of the synergy interval coupled competitive adaptive reweighted sampling-partial least squares (Si-CARS-PLS) were used for prediction. The model performance appraisal was based on the correlation coefficients of prediction (Rp), root mean square error of prediction (RMSEP), and residual predictive deviation (RPD). The Si-CARS-PLS performed optimally for TFC (Rp = 0.9137, RPD = 2.49) and TPC (Rp = 0.9042, RPD = 2.31), respectively. Moreover, the model (Si-CARS-PLS) was found to have an acceptable fit for the analytes under study since it achieved 0.88 for TFC and 0.86 for TPC based on the external validation. Therefore, these results showed that NIR coupled with Si-CARS-PLS could be used for the quantitative prediction of flavonoids and phenolic contents in raw peanut seeds.

The anti-oxidative potential of ginger extract and its constituent on meat protein isolate under induced Fenton oxidation.

Ginger extract has been reported to possess antioxidant properties. However, components isolated from ginger have been rarely reported to inhibit oxidation. Herein, the antioxidant properties of ginger and purified components derived from it (6-gingerol, zingerone, rutin, quercetin, and kaempferol) were confirmed by using HPLC and were further used to investigate its effect on lamb meat. Myofibrillar proteins isolated (MPI) from lamb meat were incubated with ginger and its constituents under induced Fenton oxidation (1.0 mmol/L FeCl3, 0.1 mmol/L Asc, and 20 mmol/L H2O2) for 1, 3,5, and 7 h. Incubating meat protein isolate in the absence of ginger extract or its components resulted in a substantial drop in sulfhydryl groups, an increase in protein carbonyl content, and a corresponding increase in TBARS content. However, ginger extract and its constituents demonstrated antioxidant properties, which might be attributed to their hydroxyl groups and suitable solubilizing side chains. Overall, ginger extract exhibited the highest antioxidant capabilities of all treated samples, suggesting that ginger extracts may be used as a natural antioxidant in meat and lipid/protein-containing processed products. SIGNIFICANCE OF THE STUDY: Ginger extract is also frequently used as a herbal medicine due to its anti-inflammatory, anti-cancer, and antibacterial qualities. Nonvolatile pungent chemicals found in ginger, such as gingerol, shogaols, paradols, and zingerone, as well as kaempferol, rutin, and other phenolic compounds, have been confirmed in ginger extract and have been shown to have antioxidant action driven by free radical elimination. Despite these findings, ginger extract and its pure constituent components have seldom been shown to have the ability to slow protein and lipid oxidation in meat and meat-related products. The effect of ginger extracts on the oxidative stability of myofibriller protein isolate has never been investigated. Exploiting the phenolic content of ginger extract may result in a discovery that would have a huge influence on both the ginger and meat industries as well as other food processing sectors. The first aim of our study was to confirm the presence of six selected phenolic compounds (rutin, kaempferol, 6-gingerol, zingerone, naringenin, and quercetin) in ginger as reported by literature, and the second objective was to determine the efficacy of ginger extracts and its purified constituents on myofibrillar protein isolate treated under induced Fenton oxidation.

Intelligent evaluation of free amino acid and crude protein content in raw peanut seed kernels using NIR spectroscopy paired with multivariable calibration.

Given the nutritional importance of peanuts, this study examined the free amino acid (FAA) and crude protein (CP) content in raw peanut seeds. Near-infrared spectroscopy (NIRS) was employed in combination with variable selection algorithms after successful reference data analysis using colorimetric and Kjeldahl methods. Ensuing the application of partial least squares (PLS) as a full spectral model, the genetic algorithm (GA), bootstrapping soft shrinkage (BOSS), uninformative variable elimination (UVE), and random frog (RF) models were tested and assessed. A comparison of correlation coefficients of prediction (Rp), root mean square error of prediction (RMSEP), and residual predictive deviation (RPD) was performed to appraise the performance of the built models. Using RF-PLS, an unsurpassed outcome was achieved for FAA (Rp = 0.937, RPD = 3.38) and CP (Rp = 0.9261, RPD = 3.66). These findings demonstrated that NIR in combination with RF-PLS could be utilized for quantitative, rapid, and nondestructive prediction of FAA and CP in raw peanut seed samples.

Recent trends in the micro-encapsulation of plant-derived compounds and their specific application in meat as antioxidants and antimicrobials.

The controversy around synthetic antioxidants and antimicrobials, which have been linked to major health problems, has driven both consumers and producers toward the usage of natural preservatives. Plants are excellent sources of bioactive compounds that can be used as part of raw materials during meat processing. Therefore, exploitation of plant-derived antioxidants is necessary to protect against microbial growth and to extend the self-life of meat. However, certain limitations, such as a strong organoleptic effect owing to the bitterness and acerbic taste, instability, and short shelf life of some plant bioactive compounds, limit their use in the meat system. Encapsulation is a novel and promising technique for overcoming these limitations. It protects bioactive compounds by strengthening their oxidative stability and by controlling the release of targeted compounds. Indeed, this review article provides recent advancements in the encapsulation of plant-derived compounds and their specific application in meat preservation.