Near-infrared spectroscopic analysis of total phenolic content and antioxidant activity of berry fruits

Abstract

SummaryThis study evaluates the feasibility of using near-infrared (NIR) spectroscopy as a rapid and environmentally friendly technique for validation and prediction of the total phenolic content (TPC) and antioxidant activity (AOA) indices (as 2,2-diphenyl-1-picrylhydrazyl (DPPH) radical scavenging, inhibition time (IT) of the Briggs-Rauscher oscillating reaction, and relative antioxidant capacity (RAC)) of berry fruit extracts. The analysed berry samples originated from Croatia (blackberries, wild blueberries, raspberries, red currants and strawberries) and Bulgaria (wild blueberries, raspberries and strawberries). Principal component analysis and partial least squares (PLS) regression were used from the set of chemometric tools in distinguishing and validating the measured berry fruit extract. ANOVA and PCA showed no signifi cant impact of the origin and freshness of the samples. PLS models were developed to validate the relationship of NIR spectra with TPC and AOA of berry fruits. Representativeness of the models was expressed with the R 2 and the ratio of performance to deviation. Calculated R 2 values were above 0.84 and the ratio of performance to deviation was between 1.8 and 3.1, indicating adequacy of the PLS models.

Quantification of Total Phenolic and Carotenoid Content in Blackberries (Rubus Fructicosus L.) Using Near Infrared Spectroscopy (NIRS) and Multivariate Analysis

“…These values were similar to those contents reported previously in studies carried out on blackberry fruits by Souza et al [11] and Contessa et al [10] with 34.53 and 36.78 mg·g −1 dw, respectively. Previous works have reported higher TPC concentrations (43.29–99.47 mg·g −1 dw) [23,27] and lower findings (5.58 mg·g −1 dw) [13,17] than those found in this study. The qualitative and quantitative differences found among fruits for the phenolic compounds could be due to factors such as environmental conditions, genotype, storage conditions and agro-techniques as observed by Aaby et al [28] in berry fruits.…”

“…With regards to berry fruits, the studies with NIRS have been focused on determining the total phenolic content and antioxidant activity in intact berries (multispecies calibration) [23], in quality control and identification of food product adulteration of wild berry fruit extracts during storage [24], in evaluation of quality and nutraceutical compounds such as anthocyanin, polyphenol and flavonoid content of blueberries ( Vaccinium corymbosum L.) [25] and also for detecting of an underground insect named Eurhizococcus colombianus (Hemiptera: Margarodidae ) in blackberry leaves [26].…”

Modeling Pinot Noir Aroma Profiles Based on Weather and Water Management Information Using Machine Learning Algorithms: A Vertical Vintage Analysis Using Artificial Intelligence

“…Some methods using proximal remote sensing within the near-infrared (NIR) light spectrum reflectivity have been developed to assess quality traits from berries in a non-destructive way. Some applications have been implemented to assess the sugar content in berries [26,27], berry pigments [28,29], phenolic compounds [30,31], and grape maturity in general [28,[32][33][34]. However, since these techniques are still manual, they cannot account for the natural intra-bunch and vineyard spatial variability, requiring a huge number of measurements and modeling strategies to obtain meaningful results.…”

Physical properties and texture of gluten-free snacks supplemented with selected fruit additions

“…Their consumption is widely promoted because they contain many antioxidants, including vitamin C. They also contain anthocyanins, fibre, and phenolic components (Bao et al, 2018). The most popular fruit in Poland is the strawberry (Gajdoš Kljusurić et al, 2016). Also, chokeberry and elderberry are becoming more and more popular due to their antioxidant properties (Michalczyk et al, 2009).…”