Characterization and Multivariate Analysis of Physical Properties of Processing Peaches

Li, Xuan; Zhang, Ang; Atungulu, Griffiths G.; McHugh, Tara H.; Delwiche, M. J.; Lin, Shuang; Zhao, Liming; Pan, Zhongli

doi:10.1007/s11947-014-1269-y

Cited by 9 publications

(7 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The surface color of the raisin samples was measured using a colorimeter (CR-200, Minolta Camera Co., Ltd., Osaka, Japan) and expressed in terms of L*(lightness and darkness), a*(redness and greenness), and b*(yellowness and blueness) according to the method reported by Li et al (2014) and Arias et al (2000) with minor modifications.…”

Section: Determination Of Color Parametersmentioning

confidence: 99%

Polyphenolic Content and Color of Seedless and Seeded Shade Dried Chinese Raisins

Shao

Zhang

et al. 2016

FSTR

View full text Add to dashboard Cite

grape cultivars, of seeded and seedless raisins from black, reddish-brown and yellowish-green grape varietieswere examined to determine the relationship between grape color, seeded status and raisin phenolic content. The raisins were analyzed for phenolic profile, total phenolic (TP) and flavonoid contents (TF), and antioxidant activities (DPPH, ABTS and FRAP). We found that despite the perception that dark colored raisins, contain higher levels of polyphenolic antioxidants, only seedless raisins from black grapes were higher in TP. Black raisins exhibited significant higher values of TP and FRAP activity than reddish-brown and yellowish-green raisins. The values of TP, TF, DPPH, ABTS, and FRAP capacities for seeded raisins were higher than those of seedless samples. Raisins could be classified into three groups and some raisins differing in seed-bearing status or color were grouped together, indicating the antioxidant properties of raisins were not only determined by raisin color, but also by their seedbearing status.Keywords: Raisin, polyphenol, color, seeded status, antioxidant capacity IntroductionChina is the world's third largest producer of raisins after the U.S. and Turkey. Most grapes are grown in Xinjiang province, China's largest province, spanning an area the combined size of France, Spain, Italy, and Germany or the six western states of the USA. The large geographical area encompasses diverse climatic zones requiring grapes varieties that are adapted to these zones.Xinjiang Province is the largest producer of green raisins . Green raisins are highly preferred by Chinese consumers over imports even though they command a higher price because of their flavor and appearance.Raisins rank the highest in concentration of total phenolic compounds and antioxidant activities among solid fruit products (Williamson and Carughi 2010;Karakaya 2001). Thompson seedless is the variety most widely grown in the world including China for both dark and green raisin production, however, other grapes such as Muscat or black grapes such as black Corinth are also grown for specialty markets. Darker colored grapes and raisins are often perceived to have higher levels of "antioxidants" and perceived to be healthier. The interest in health benefits related to polyphenolic compounds have resulted in studies of the polyphenolic content of grape varieties. Breksa et al. (2010) analyzed the polyphenol content of white grapes from six commercial U.S. varieties and ten potential selections for raisin D. Shao et al. 360 production (Breksa III et al. 2010). The composition of the fresh grapes, but not raisins were analyzed, cafteric acid also called monocaffeyltartaric acid, a phenolic acid and not a polyphenol compound, predominates in fresh grapes but is typically absent in raisins. Baiano and Terracone (2011) analyzed the polyphenol content of peels, seeds and juice of fresh grapes: four white and three red/black varieties. In seeded varieties the content of total polyphenols was 3 _ 5 times higher in seeds than in skins. The r...

show abstract

Section: Determination Of Color Parametersmentioning

confidence: 99%

Polyphenolic Content and Color of Seedless and Seeded Shade Dried Chinese Raisins

Shao

Zhang

et al. 2016

FSTR

View full text Add to dashboard Cite

show abstract

“…These observations were expected but nevertheless relevant. Successful peach sorting, pitting, and peeling processes require precise characterization of variations in the shape and size of fruit from different cultivars (Li et al, 2014). Sensorial traits varied greatly among cultivars (Table 3; ESM 2 and 3).…”

Section: Cultivar Influencementioning

confidence: 99%

“…Compared to the other cultivars, 'Big Top', 'Nectaearly' and 'Nectagala' were perceived as having the greatest firmness, while 'Hesse', 'Romea' and 'IFF 1190' were the least firm. Consistency and firm textural properties are generally preferred and allow easier handling in postharvest processing (Li et al, 2014). 'Big Top', 'Platibelle' and 'Nectabang' were the juiciest cultivars.…”

Section: Cultivar Influencementioning

confidence: 99%

Adaptability of peach cultivars [Prunus persica (L.) Batsch] to the climatic conditions of the Ebro Valley, with special focus on fruit quality

Reig¹,

Alegre²,

Gatius

et al. 2015

Scientia Horticulturae

View full text Add to dashboard Cite

“…Due to the differentiation in properties of peaches belonging to different cultivars, cultivar discrimination may be essential for the peach industry for maintaining cultivar homogeneity to ensure adequate processing conditions and equipment parameters. The physical properties can affect the efficiency of processing and may be important, for example, for sorting, peeling and pitting of peaches [9]. Identification of fruit properties and cultivar discrimination may facilitate these processes [9].…”

Section: Introductionmentioning

confidence: 99%

“…The physical properties can affect the efficiency of processing and may be important, for example, for sorting, peeling and pitting of peaches [9]. Identification of fruit properties and cultivar discrimination may facilitate these processes [9]. Inspection, evaluation of quality and sorting of fruit in the food industry may be supported by computer vision in a rapid, objective, economic and consistent manner [10].…”

Section: Introductionmentioning

confidence: 99%

Differentiation of peach cultivars by image analysis based on the skin, flesh, stone and seed textures

Ropelewska

Rutkowski

2021

Eur Food Res Technol

View full text Add to dashboard Cite

The peaches belonging to different cultivars can be characterized by differentiation in properties. The aim of this study was to evaluate the usefulness of individual parts of fruit (skin, flesh, stone and seed) for cultivar discrimination of peaches based on textures determined using image analysis. Discriminant analysis was performed using the classifiers of Bayes net, logistic, SMO, multi-class classifier and random forest based on a set of combined textures selected from all color channels R, G, B, L, a, b, X, Y, Z and for textures selected separately for RGB, Lab and XYZ color spaces. In the case of sets of textures selected from all color channels (R, G, B, L, a, b, X, Y, Z), the accuracy of 100% was observed for flesh, stones and seeds for selected classifiers. The sets of textures selected from RGB color space produced the correctness equal to 100% in the case of flesh and seeds of peaches. In the case of Lab and XYZ color spaces, slightly lower accuracies than for RGB color space were obtained and the accuracy reaching 100% was noted only for the discrimination of seeds of peaches. The research proved the usefulness of selected texture parameters of fruit flesh, stones and seeds for successful discrimination of peach cultivars with an accuracy of 100%. The distinguishing between cultivars may be important for breeders, consumers and the peach industry for ensuring adequate processing conditions and equipment parameters. The cultivar identification of fruit by human may be characterized by large errors. The molecular or chemical methods may require special equipment or be time-consuming. The image analysis may ensure objective, rapid and relatively inexpensive procedure and high accuracy for peach cultivar discrimination.

show abstract

Characterization and Multivariate Analysis of Physical Properties of Processing Peaches

Cited by 9 publications

References 23 publications

Polyphenolic Content and Color of Seedless and Seeded Shade Dried Chinese Raisins

Polyphenolic Content and Color of Seedless and Seeded Shade Dried Chinese Raisins

Adaptability of peach cultivars [Prunus persica (L.) Batsch] to the climatic conditions of the Ebro Valley, with special focus on fruit quality

Differentiation of peach cultivars by image analysis based on the skin, flesh, stone and seed textures

Contact Info

Product

Resources

About