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JOURNAL OF HORTICULTURAL SCIENCE & BIOTECHNOLOGY · 2016 · IF 0.458

Influence of calcium propionate on the control of post-harvest rots of jujube and the biocontrol activity of an antagonistic yeast

D. Q. Guo,W. H. Wang,Y. F. Pu,Q. Xu,L. X. Zhu,B. Q. Yang

The effect of calcium propionate (CaP) on post-harvest pathogens of winter jujube (Zizyphus jujuba Mill.), and on improving the efficacy of the biocontrol yeast, Metschnikowia pulcherrima, were evaluated. In vitro, CaP at ≥2% (w/v) had significant inhibitory effects on spore germination and germ-tube growth in Penicillium citrinum and Alternaria alternata. However, the application of 2% (w/v) CaP did not affect population growth of M. pulcherrima in nutrient yeast dextrose in vivo. With or without CaP, yeast cell numbers increased after 72 h by approx. 11.1-fold and 13.4-fold, respectively. The concentration of the antagonistic yeast suspension influenced the incidence of both pathogens and lesion development on jujube fruit, and the effect increased with an increase in yeast cell concentration. A combination of the antagonistic yeast plus 2% (w/v) CaP resulted in a lower incidence of disease and smaller lesion diameters compared to treatments with the antagonistic yeast alone. In this case, the incidence of disease was reduced by 16.8–27.3% for P. citrinum and by 25.2–31.4% for A. alternata. Lesion diameters on these fruit were 2.7–6.2 cm and 1.8–2.4 cm for P. citrinum and A. alternata, respectively. Calcium propionate had a consistent ability to enhance the biocontrol activity of M. pulcherrima against blue mould (P. citrinum) and Alternaria rot on jujube fruit. Thus, the application of 2% (w/v) CaP could be a useful approach to improve the efficacy of the antagonistic yeasts used for post-harvest disease control in jujube.

研究领域: 植物病理学 · 食品科学
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LWT-FOOD SCIENCE AND TECHNOLOGY · 2024 · IF 6

Effect of processing and simulated digestion on phenolics, antioxidant and hypoglycemic potential of winter jujube

Yi-Long Ma,Zi-Tong Wang,Dong-Mei Yang,Zhi Li,Qian-Lan Wu,Xin Guo,Ya-Fang Shang,Kiran Thakur,Zhao-Jun Wei

The well- known winter jujube ( Zizyphus jujuba Mill. cv. Dongzao), has been proved to contain a series of bioactive compounds. To investigate the impact of processing and digestion on its phenolics, winter jujube was processed (steaming and freeze-drying) and digested. The treated winter jujubes' phenolic content, antioxidant capacity, and hypoglycemic potential were assessed. The results showed that processing reduced the number of total phenolics/flavonoids, antioxidant, and α-glucosidase inhibitory activity by 0.74–25.26%. With the exception of α-glucosidase inhibitory activity, which increased by 16.67–19.25% after digestion, these declines were more pronounced. After processing, the six discovered phenolics in winter jujube were mostly constant, but after digestion, their contents dropped by 6.72–38.64 %. These results suggested that following processing and digestion, the phenolic content and activity of winter jujube remained high (61.36–97.93%), indicating that freeze-drying and steaming are viable approaches to prepare and consume winter jujube.

研究领域: 食品科学 · 植物化学 · 营养学
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JOURNAL OF SEPARATION SCIENCE · 2021 ·Vol. 44 ·期 10 ·2131-2142 · IF 3.645

Hydrophilic molecularly imprinted polymers functionalized magnetic carbon nanotubes for selective extraction of cyclic adenosine monophosphate from winter jujube

Fei Li,Xiaoxuan Li,Jie Su,Yijun Li,Xiwen He,Langxing Chen,Yukui Zhang

In this work, a green strategy was developed to prepare molecularly imprinted polymers functionalized magnetic carbon nanotubes in aqueous phase under mild conditions for cyclic adenosine monophosphate. Thanks to water solubility of chitosan, a natural polysaccharide which is rich in amino and hydroxyl groups, provided the feasibility to synthesize the green molecularly imprinted polymers for water soluble template in aqueous media. Coupled with high-performance liquid chromatography, the method exhibited a short equilibrium time (6 min), high adsorption capacity (22.42 μg/mg), high magnetic susceptibility, and good selectivity to template molecule with the imprinting factor of 2.94. A good linearity in the range of 0.020-3.0 mg/mL for target was obtained with a correlation coefficient of 0.9998. The limit of detection (signal-to-noise ratio = 3) and limit of quantitation (signal-to-noise ratio = 10) of the magnetic solid phase extraction method for cyclic adenosine monophosphate were 5 and 15 ng/mg, respectively. And the practical application of chitosan-based molecularly imprinted polymers as adsorbent to isolate and determine cyclic adenosine monophosphate in real natural samples (winter jujube) was demonstrated.

CAS / MDL: 58-64-0
研究领域: 材料科学 · 分析化学 · 纳米技术 · 食品科学 · 生物技术
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JOURNAL OF FOOD COMPOSITION AND ANALYSIS · 2023 · IF 4.3

Identification of geographical origin of winter jujube based on GC–MS coupled with machine-learning algorithms

Jiangwei Wen,Jiayu Li,Dong Wang,Chao Li,Albert Robbat,Liya Xia

Headspace solid-phase microextraction (HS-SPME) combined with gas chromatography–mass (GC–MS) is the most often used technique for the analysis of volatile organic compounds (VOCs). When coupled with machine-learning algorithms, the two provide the means to differentiate the volatile metabolome of foods from different origins. In this study, the volatile metabolites of winter jujube, a fruit protected by China and the European Union (EU) based on geographical indications (GI), was analyzed by HS-SPME–GC–MS. Extreme gradient boosting (XGBoost) was applied, for the first time, to evaluate differences in winter jujube grown in four distinct regions. Locational differences yielded 33 VOCs that differed by functionality and concentration with a recurrence probability of ≥ 60%. Zhanhua winter jujube contained the most abundant VOCs, with Yuncheng winter jujube the least. The 33 winter jujube VOCs were analyzed by random forest (RF), support vector machine (SVM), and XGBoost to identify the place of origin. The discrimination rates were about 85% using RF, about 93% using SVM, and about 98% with XGBoost. Compared to RF and SVM algorithms, XGBoost was more efficient, producing higher accuracy rates, and providing new opportunities for origin traceability.

CAS / MDL: 766-00-7 1577-18-0
研究领域: 食品科学 · 分析化学 · 机器学习 · 农业科学
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