Dynamic changes of phenolic compounds during artificial aging of soybean seeds identified by high-performance liquid chromatography coupled with transcript analysis

Cui, Meng; Wu, Dong; Bao, Kaixuan; Wen, Zenglian; Hao, Yingbin; Li, Luo

doi:10.1007/s00216-019-01767-5

Cited by 12 publications

(11 citation statements)

References 42 publications

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“…Accordingly, autofluorescence signals emitted in the excitation-emission combinations of 365/400 nm and 660/700 nm showed a very strong positive correlation with H 2 O 2 levels ( r 2 = 0.91 and 0.93, respectively), which were two of the four bandwidth combinations strongly correlated with early germination test ( r 2 = 0.91 and 0.92, respectively). In addition, the combination of 365/400 nm was perfectly correlated with the accumulation of the total phenols in the seed embryo ( r 2 = − 1.00), which efficiently protect soybean seeds from the oxidative stress of various origins 28 . Meanwhile, the combination of 660/700 nm reached a perfect positive correlation with seed tolerance to the stressful conditions of the SSAA test ( r 2 = 1.00).…”

Section: Discussionmentioning

confidence: 93%

Autofluorescence-spectral imaging as an innovative method for rapid, non-destructive and reliable assessing of soybean seed quality

Silva

Oliveira

Carvalho

et al. 2021

Sci Rep

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In the agricultural industry, advances in optical imaging technologies based on rapid and non-destructive approaches have contributed to increase food production for the growing population. The present study employed autofluorescence-spectral imaging and machine learning algorithms to develop distinct models for classification of soybean seeds differing in physiological quality after artificial aging. Autofluorescence signals from the 365/400 nm excitation-emission combination (that exhibited a perfect correlation with the total phenols in the embryo) were efficiently able to segregate treatments. Furthermore, it was also possible to demonstrate a strong correlation between autofluorescence-spectral data and several quality indicators, such as early germination and seed tolerance to stressful conditions. The machine learning models developed based on artificial neural network, support vector machine or linear discriminant analysis showed high performance (0.99 accuracy) for classifying seeds with different quality levels. Taken together, our study shows that the physiological potential of soybean seeds is reduced accompanied by changes in the concentration and, probably in the structure of autofluorescent compounds. In addition, altering the autofluorescent properties in seeds impact the photosynthesis apparatus in seedlings. From the practical point of view, autofluorescence-based imaging can be used to check modifications in the optical properties of soybean seed tissues and to consistently discriminate high-and low-vigor seeds.

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Section: Discussionmentioning

confidence: 93%

Autofluorescence-spectral imaging as an innovative method for rapid, non-destructive and reliable assessing of soybean seed quality

Silva

Oliveira

Carvalho

et al. 2021

Sci Rep

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“…Accordingly, we were able to detect rutin (quercetin 3‐ O‐ rutinoside) and quercetin‐3‐ O‐ rhamnosylglycoside‐7‐ O‐ glucoside in our metabolome analysis, representing the diversity of quercetin derivatives. Kaempferol derivatives are the second most abundant flavonoid found in soybean tissues (Cui et al, 2019; Gómez, Vital, Oliveira, & Ramos, 2018), and the content of kaempferol in LX landrace is ~142 fold of that in Wm82 (Table 2). Astragalin (a kaempferol derivative) levels were also significantly higher in LX (~125 fold) compared to Wm82 (Table 2).…”

Section: Resultsmentioning

confidence: 99%

Multi‐omic dissection of the drought resistance traits of soybean landrace LX

Zhao

Zhang

Yang

et al. 2021

Plant Cell & Environment

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With diverse genetic backgrounds, soybean landraces are valuable resource for breeding programs. Herein, we apply multi-omic approaches to extensively characterize the molecular basis of drought tolerance in the soybean landrace LX. Initial screens established that LX performed better with PEG6000 treatment than control cultivars. LX germinated better than William 82 under drought conditions and accumulated more anthocyanin and flavonoids. Untargeted mass spectrometry in combination with transcriptomic analyses revealed the chemical diversity and genetic basis underlying the overall performance of LX landrace. Under control and drought conditions, significant differences in the expression of a suite of secondary metabolism genes, particularly those involved in the general phenylpropanoid pathway and flavonoid but not lignin biosynthesis, were seen in LX and William 82. The expression of these genes correlated with the corresponding metabolites in LX plants. Further correlation analysis between metabolites and transcripts identified pathway structural genes and transcription factors likely are responsible for the LX agronomic traits. The activities of some key biosynthetic genes or regulators were confirmed through heterologous expression in transgenic Arabidopsis and hairy root transformation in soybean. We propose a regulatory mechanism based on flavonoid secondary metabolism and adaptive traits of this landrace which could be of relevance to cultivated soybean.

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“…The type and amount of phenolic compounds present in the polysaccharide matrix influence the antioxidant capacity. Consequently, the dietary fiber protects the phenolic compounds from oxidation, favoring an excellent antioxidant capacity (Cui et al, 2019;Mercado-Mercado et al, 2020).…”

Section: Effect Of Extraction Factors On Dpph Scavenging Activitymentioning

confidence: 99%

Response Surface Methodology for Simple Non-Acid Ultrasonic-Assisted Extraction of Pectin from Taiwan’s Citrus depressa H. Peels

Chien¹,

Saputri²,

Yanti³

et al. 2022

CMUJNS

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Exploration of pectin from Citrus depressa H. peels (CD pectin) could add value to the waste arising from Citrus depressa H. beverage products. Preliminary analysis showed that temperature and acidity were insignificantly affect pectin yield, degree of esterification and DPPH scavenging activity. In order to optimize the ultrasonication time and solid: solvent ratio (SLR) of CD pectin extraction, response surface methodology central composite design (RSM-CCD) was used as the statistical tool. The optimum UAE conditions were: extraction time 39.96 minutes and solid: iquid ratio 1:20 (w/v). Under these conditions, the pectin yield was 16.07%, with 83.49% DPPH scavenging activity and 62.46% degree of esterification. The prediction model with a 0.922 desirability value was verified with adequate “lack of fit” values and confirmed consistent response in high and low prediction intervals (95%). Titration analysis, FTIR-ATR, NMR and XRD spectroscopy had been done to the dried pectin, and found that CD pectin is considered as high methoxylated (DE > 50%) with amorphous and crystalline structures. CD pectin peel also exhibited high DPPH scavenging activity (74.14 – 83.56%) that the food industry could potentially use as natural antioxidants. Keywords: Ultrasonication, Pectin, Optimization, Structural, Functional

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Dynamic changes of phenolic compounds during artificial aging of soybean seeds identified by high-performance liquid chromatography coupled with transcript analysis

Cited by 12 publications

References 42 publications

Autofluorescence-spectral imaging as an innovative method for rapid, non-destructive and reliable assessing of soybean seed quality

Autofluorescence-spectral imaging as an innovative method for rapid, non-destructive and reliable assessing of soybean seed quality

Multi‐omic dissection of the drought resistance traits of soybean landrace LX

Response Surface Methodology for Simple Non-Acid Ultrasonic-Assisted Extraction of Pectin from Taiwan’s Citrus depressa H. Peels

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