New guidelines for prediction of antioxidant activity of<i>Lactuca sativa</i>L. varieties based on phytochemicals content and multivariate chemometrics

Jevrić, Lidija R.; Karadžić, Milica; Podunavac‐Kuzmanović, Sanja O.; Horecki, Aleksandra Tepić; Kоvаčеvić, Strаhinjа; Vidović, Senka; Šumić, Zdravko; Ilin, Žarko

doi:10.1111/jfpp.13355

Cited by 7 publications

(5 citation statements)

References 35 publications

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“…The physical properties of the food are a good indicator of other properties and quality of food. Using some of the physical properties of food together with chemometric tools is often used in modern food processing industry (Jevrić et al, , ). Artificial neural networks (ANNs) present the mathematical systems that simulate biological neural networks (Zupan & Gasteiger, ).…”

Section: Introductionmentioning

confidence: 99%

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Artificial neural network modeling of the antioxidant activity of lettuce submitted to different postharvest conditions

Banjac

Kоvаčеvić

Jevrić

et al. 2019

J Food Process Preserv

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Using novel ebb and flow hydroponic system lettuce (Lactuca sativa L.) samples were grown and then stored under different postharvest conditions (greenhouse with a cube, refrigerator with a cube, and refrigerator without a cube). The effect of the postharvest conditions on bioactive compounds profile and antioxidant activity was studied. All samples were subjected to the bioactive compounds composition analysis as well as to the antioxidant activity determination in order to reveal how the postharvest conditions affect them. The experimental data were used for the antioxidant activity modeling by artificial neural network (ANN) approach. The antioxidant activity was determined by DPPH assay and expressed as IC50. According to the standard statistical parameters, comparison of the experimentally observed and predicted data, and residuals analysis, generated ANNs could be used for the prediction of the antioxidant activity. Practical applications Lettuce (Lactuca sativa L.) samples were grown using novel Ebb and Flow hydroponic system. Different postharvest conditions were used for samples storage. Generated models for the prediction of antioxidant activity were obtained using artificial neural network (ANN) modeling.

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Section: Introductionmentioning

confidence: 99%

“…The antioxidant activity and bioactive compounds profile of lettuce cultivars Levistro and Murai were investigated using suitable chemometric methods (Jevrić et al, ). Chosen classification and regression analysis were conducted with aim to distinguish the bioactive compounds that best describe the antioxidant activity.…”

Section: Introductionmentioning

confidence: 99%

Artificial neural network modeling of the antioxidant activity of lettuce submitted to different postharvest conditions

Banjac

Kоvаčеvić

Jevrić

et al. 2019

J Food Process Preserv

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“…MLR is widely used for different types of predictions and modeling in food and agricultural industry, that is , for antioxidant activity prediction of beetroot (Kovačević et al, ) and lettuce samples (Jevrić et al, ). Its goal is to quantitate the relationship between several independent variables and one dependent variable.…”

Section: Methodsmentioning

confidence: 99%

Toward consistent discrimination of common bean (Phaseolus vulgarisL.) based on grain coat color, phytochemical composition, and antioxidant activity

Banjac

Kоvаčеvić

Horecki

et al. 2019

J Food Process Preserv

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In this paper, 52 common bean (Phaseolus vulgaris L.) genotypes were analyzed regarding their phytochemical composition and antioxidant activity, as well as other characteristics (grain coat color, grain size, and growth size). The total phenols content (TPC), determined according to the Folin–Ciocalteu method, varied from 0.166 to 0.772 mg/100 g DM, while total flavonoids content (TFC), determined by aluminum chloride colorimetric assay, varied from 4.861 to 161.861 mg/100 g DM. Antioxidant activity was assessed by 2,2‐diphenyl‐1‐picrylhydrazyl (DPPH) scavenging capacity and ranged from 1.419 to 12.917 mg/ml. The antioxidant activity was predicted using multiple linear regression (MLR). The obtained results revealed certain influence of grain coat color on common bean phytochemical composition and antioxidant activity that was confirmed throughout classification method—principal component analysis (PCA). White grain coat color samples were distinguished from colored ones on the basis of their phytochemical composition and antioxidant activity. Practical applications The antioxidant activity of 52 common bean (Phaseolus vulgaris L.) genotypes was predicted using MLR. A certain influence of grain coat color on common bean phytochemical composition and antioxidant activity was detected applying classification chemometric techniques.

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“…The result of PCA analysis is shown through scores and loadings plots (32). Sum of ranking differences (SRD) is a relatively novel non-parametric ranking approach (33,34) successfully used in different branches of food industry (35,36). Usually, in SRD analysis, the closer SRD value to zero is, the better is the sample.…”

Section: Sensory Evaluation By Consumersmentioning

confidence: 99%

Functional handmade minions - consumers and experienced tasters sensory evaluation of the new product

et al. 2021

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The study examines consumer sensory preferences of 12 different handmade pastry products in the form of minions, made of rice and flaxseed flour, tapioca starch with natural taste ingredients and with addition of prebiotic (inulin), herbs and other ingredients. The sensory evaluation was performed by professionals (experienced tasters). Preferred minion flavour was tested at group of 324 consumers (hotel guests) of different nationality. ANOVA and t-test were performed to reveal differences in attitudes related to socio-demographic characteristics of the consumers. Also, determination of taste preferences according to consumer nationality was examined as an additional consumer care aspect. The evaluation of equality of the samples? average rates, as well as the groups of minions, is done by parametric or nonparametric model of variance analysis. Principal component analysis (PCA) was applied in order to group the investigated minions regarding their sensory properties, while the sum of ranking differences (SRD) was used to determine the minions with the best sensory properties. Consumers and experienced tasters have almost the same opinion about the sensory quality of minions, which indicates that assessment of the consumer can be considered as a representative opinion in the near future. Such functional food - minions could be widely used as a substitute for the most common commercial sweets rich in sugar and fat.

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New guidelines for prediction of antioxidant activity ofLactuca sativaL. varieties based on phytochemicals content and multivariate chemometrics

Cited by 7 publications

References 35 publications

Artificial neural network modeling of the antioxidant activity of lettuce submitted to different postharvest conditions

Artificial neural network modeling of the antioxidant activity of lettuce submitted to different postharvest conditions

Toward consistent discrimination of common bean (Phaseolus vulgarisL.) based on grain coat color, phytochemical composition, and antioxidant activity

Functional handmade minions - consumers and experienced tasters sensory evaluation of the new product

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