Analyses on the pigment composition of different seed coat colors in adzuki bean

Zhao, Pu; Chu, Liwei; Wang, Kaili; Li, Yisong; Yang, Kai; Park, Wan

doi:10.1002/fsn3.2866

Cited by 12 publications

(14 citation statements)

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“…Although adzuki beans are found in several seed coat colors, such studies are still scarce. Only recently, Zhao et al [ 45 ] evaluated the relative abundance of anthocyanins in nine Chinese adzuki beans of different seed coat colors and found a high accumulation of anthocyanins in black seed coat adzuki beans. In another aspect, Yoshida et al [ 46 ] compared the distributions and contents of anthocyanins in Japanese and Chinese adzuki beans with other legumes.…”

Section: Resultsmentioning

confidence: 99%

Variability of Anthocyanin Concentrations, Total Metabolite Contents and Antioxidant Activities in Adzuki Bean Cultivars

et al. 2022

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In this study, adzuki bean cultivars including Arari, Chilbopat, Geomguseul, and Hongeon were recently cultivated, and the concentrations of seven individual anthocyanins were determined in their seed coats for the first time. Moreover, the variations of total saponin content (TSC), total phenolic content (TPC), 1,1-diphenyl-1-picrylhydrazyl (DPPH) radical scavenging activity, Trolox equivalent antioxidant capacity (TEAC), and ferric reducing antioxidant power (FRAP) between defatted and undefatted extracts of whole seeds, seed coats, and dehulled seeds of each were analyzed. The anthocyanins were detected only in the black seed-coated cultivars and delphinidin-3-O-glucoside was dominant in both Geomguseul (12.46 mg/g) and Chilbopat (10.88 mg/g) followed by delphinidin-3-O-galactoside. TSC and TPC were in the ranges of 16.20–944.78 mg DE/g and 0.80–57.35 mg GAE/g, respectively, and each decreased in the order of seed coats > whole seeds > dehulled seeds regardless of extract type. The antioxidant activities also showed similar patterns of variation. Geomguseul seed coats outweighed the remaining cultivars in terms of TPC and FRAP activity (p < 0.05). Generally, significant variations of metabolite contents and antioxidant activities were observed between cultivars and across their seed parts (p < 0.05). Thence, black seed-coated adzuki beans could be excellent sources of anthocyanins and antioxidants.

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Section: Resultsmentioning

confidence: 99%

Variability of Anthocyanin Concentrations, Total Metabolite Contents and Antioxidant Activities in Adzuki Bean Cultivars

et al. 2022

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“…Seed maturity is a crucial factor in improving the yield of Siberian wild rye, which is important for the sustainable development of animal husbandry and the improvement of degraded grasslands ( Xie et al., 2015 ; Zhao et al., 2017 ). Delayed harvesting results in an 80% reduction in yield due to seed shattering ( You et al., 2011 ), and traditionally, seed lots were sorted into different maturity fractions based on color, moisture content, and analysis of chlorophyll fluorescence signals ( Jalink et al., 1998b ; Ellis, 2019 ; Zhao et al., 2022 ). However, with advances in spectroscopy and computational technologies, non-destructive identification of seed characteristics is now possible through X-ray analysis ( de Medeiros et al., 2020b ), multispectral and hyperspectral image analysis ( Xia et al., 2019 ), microtomography ( Gomes-Junior et al., 2019 ), magnetic resonance ( Melchinger et al., 2017 ), and other techniques.…”

Section: Discussionmentioning

confidence: 99%

Integrating optical imaging techniques for a novel approach to evaluate Siberian wild rye seed maturity

Jia

Sun

et al. 2023

Front. Plant Sci.

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Advances in optical imaging technology using rapid and non-destructive methods have led to improvements in the efficiency of seed quality detection. Accurately timing the harvest is crucial for maximizing the yield of higher-quality Siberian wild rye seeds by minimizing excessive shattering during harvesting. This research applied integrated optical imaging techniques and machine learning algorithms to develop different models for classifying Siberian wild rye seeds based on different maturity stages and grain positions. The multi-source fusion of morphological, multispectral, and autofluorescence data provided more comprehensive information but also increases the performance requirements of the equipment. Therefore, we employed three filtering algorithms, namely minimal joint mutual information maximization (JMIM), information gain, and Gini impurity, and set up two control methods (feature union and no-filtering) to assess the impact of retaining only 20% of the features on the model performance. Both JMIM and information gain revealed autofluorescence and morphological features (CIELab A, CIELab B, hue and saturation), with these two filtering algorithms showing shorter run times. Furthermore, a strong correlation was observed between shoot length and morphological and autofluorescence spectral features. Machine learning models based on linear discriminant analysis (LDA), random forests (RF) and support vector machines (SVM) showed high performance (>0.78 accuracies) in classifying seeds at different maturity stages. Furthermore, it was found that there was considerable variation in the different grain positions at the maturity stage, and the K-means approach was used to improve the model performance by 5.8%-9.24%. In conclusion, our study demonstrated that feature filtering algorithms combined with machine learning algorithms offer high performance and low cost in identifying seed maturity stages and that the application of k-means techniques for inconsistent maturity improves classification accuracy. Therefore, this technique could be employed classification of seed maturity and superior physiological quality for Siberian wild rye seeds.

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“…strength (Zhao et al, 2022). There is no detectable tannin in nuña beans with white seed coats (Van Beem et al, 1992).…”

Section: Popping Testsmentioning

confidence: 99%

Physicochemical characteristics and popping efficiencies of popping beans from different breeding programs and grow‐out locations

Rezaey,

Heitholt,

Miles

et al. 2023

Cereal Chem

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Background and ObjectivesPopping beans are genotypes developed from crosses between nuña beans and common beans adapted to temperate climates. Toasted popping beans are a potential snack with a nutty flavor and malted milk ball‐like texture. Except for moisture content, the influence of other factors of raw beans on their popping efficiency has remained understudied. Thus, this study aimed to evaluate the proximate composition, functional properties, and their impact on the popping efficiency of 20 popping bean samples from different lines, harvest seasons, and locations.FindingsResults showed significant differences (p < .05) in physicochemical characteristics and functional properties among the samples, including differences in starch, protein, fiber, fat, moisture, and ash content. The water absorption index, the water solubility index, and flour swelling power also significantly differed between samples. The highest popping efficiency was 98.3%, while the lowest popping efficiency was 24.0%, with no significant correlation between physicochemical characteristics and popping efficiency. However, the study did find a correlation between pericarp color and popping percentage.ConclusionThere was no significant correlation between physicochemical characteristics and popping efficiency in popping beans.

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Analyses on the pigment composition of different seed coat colors in adzuki bean

Cited by 12 publications

References 50 publications

Variability of Anthocyanin Concentrations, Total Metabolite Contents and Antioxidant Activities in Adzuki Bean Cultivars

Variability of Anthocyanin Concentrations, Total Metabolite Contents and Antioxidant Activities in Adzuki Bean Cultivars

Integrating optical imaging techniques for a novel approach to evaluate Siberian wild rye seed maturity

Physicochemical characteristics and popping efficiencies of popping beans from different breeding programs and grow‐out locations

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