Quality of Irradiated Alfalfa Sprouts†

2001 ◽  
Vol 64 (10) ◽  
pp. 1574-1578 ◽  
Author(s):  
XUETONG FAN ◽  
DONALD W. THAYER
Keyword(s):  
Ascorbic Acid ◽  
Radiation Dose ◽  
Gamma Rays ◽  
Dehydroascorbic Acid ◽  
Carotenoid Content ◽  
Minimal Effect ◽  
Antioxidant Power ◽  
Medicago Sativa L ◽  
Alfalfa Sprouts

Alfalfa (Medicago sativa L.) sprouts were irradiated with gamma rays at doses of 0, 0.85, 1.71, and 2.57 kGy at 5°C, then stored at 6°C for 14 days. Antioxidant power, total ascorbic acid (TAA) (ascorbic acid plus dehydroascorbic acid), carotenoid, chlorophyll, and color were measured at 1, 7, and 14 days of storage. Antioxidant power increased linearly with radiation dose at both 1 and 7 days of storage. Irradiation had minimal effect on TAA content when compared with the decrease in TAA content during storage. Carotenoid content of sprouts irradiated at 1.71 and 2.57 kGy was higher than that of control at 7 days of storage. Irradiation did not have a consistent effect on chlorophyll content or color.

scholarly journals Harvest Season and Genotype Affect Head Quality and Shelf-Life of Ready-to-Use Broccoli

Agronomy ◽  
2020 ◽  
Vol 10 (4) ◽  
pp. 527 ◽  
Author(s):  
Giulia Conversa ◽  
Corrado Lazzizera ◽  
Anna Bonasia ◽  
Antonio Elia
Keyword(s):  
Ascorbic Acid ◽  
Dehydroascorbic Acid ◽  
Visual Quality ◽  
Dry Weight ◽  
Climatic Conditions ◽  
Total Phenol ◽  
Slight Reduction ◽  
Post Harvest ◽  
Dry Matter Concentration

Pre-harvest climatic conditions and genotype may have important effects on head quality and post-harvest performance of fresh-cut broccoli. The present work evaluates the effect of the growing cycle (summer–autumn (SA), winter (W), winter–spring (WS), and spring (S)) and genotype on qualitative (dry matter, concentration of chlorophylls, carotenoids, and color) and antioxidative (ascorbic acid, dehydroascorbic acid, total phenol concentrations, and antioxidant capacity) traits of broccoli heads and minimally processed florets. The WS raw product showed the best color indices (L* = 38.6, C* = 9.3 and h° = 123.8) as well as the highest chlorophyll (0.23 µg mg−1 fresh weight) but the lowest total phenol concentration (5.5 µg mg−1 dry weight - DW), whereas the ascorbic acid level (2.3 µg mg−1 DW) was comparable to or lower than that the other growing cycles. The WS florets confirmed their best visual quality, even showing an improved total phenol level after 14 days of cold storage. The climatic conditions experienced by broccoli plants grown in SA, W, and S periods were stressful as they resulted in a slight reduction in the visual quality of the heads, though only the SA florets showed a distinctive decay during storage. The lower post-harvest performance of SA grown broccoli was confirmed in all the tested cultivars, despite ‘Naxos’ seeming more tolerant. On the contrary, the greatest content of ascorbic acid (3.2 µg mg−1 DW) in the W heads and of phenols (11.1 µg mg−1 DW) in S heads was maintained during storage, thus preserving floret color.

Sensorial and Chemical Quality of Gamma-Irradiated Fresh-Cut Iceberg Lettuce in Modified Atmosphere Packages†

2002 ◽  
Vol 65 (11) ◽  
pp. 1760-1765 ◽  
Author(s):  
XUETONG FAN ◽  
KIMBERLY J. B. SOKORAI
Keyword(s):  
Ascorbic Acid ◽  
Dehydroascorbic Acid ◽  
Storage Period ◽  
Modified Atmosphere ◽  
Visual Appearance ◽  
Iceberg Lettuce ◽  
Fresh Cut ◽  
Gamma Irradiated ◽  
Safety Enhancement

A study was conducted to investigate the effects of various doses of irradiation on the quality of fresh-cut iceberg lettuce and to determine a suitable maximum dose. Fresh-cut iceberg lettuce packaged in film bags was exposed to 0, 1, 2, 3, and 4 kGy of gamma radiation and stored at 3°C for 14 days. CO2 levels were higher and O2 levels were lower in packages containing irradiated lettuce than in those containing nonirradiated lettuce for most of the storage period. Comparison with nonirradiated lettuce indicated that total ascorbic acid (ascorbic acid plus dehydroascorbic acid) content and firmness were not significantly influenced by irradiation at 1 or 2 kGy. The overall visual appearance was best for lettuce irradiated at 1 or 2 kGy. This improved quality may be related to the high CO2 and low O2 levels observed for the irradiated samples. Electrolyte leakage for lettuce increased with higher radiation doses and was correlated (R2 = 0.99) with a soggy appearance. The leakage for lettuce irradiated at ≥2 kGy was significantly more extensive than that for nonirradiated lettuce. The irradiation of fresh-cut lettuce in modified atmosphere packages at doses of 1 kGy and perhaps 2 kGy for safety enhancement and quality improvement is feasible.

Varietal and rootstock effects on mandarin quality

1978 ◽  
Vol 18 (93) ◽  
pp. 597 ◽  
Author(s):  
BM El-Zeftawi ◽  
IR Thornton
Keyword(s):  
Ascorbic Acid ◽  
Seasonal Variation ◽  
Sweet Orange ◽  
Carotenoid Content ◽  
Trifoliate Orange ◽  
Seasonal Differences ◽  
Acid Ratio ◽  
June July ◽  
Troyer Citrange

The quality of Early Imperial, Emperor, Dancy and Ellendale mandarins on six different rootstocks (Symons sweet orange, Cleopatra and Emperor mandarin, trifoliate orange and Carrizo and Troyer citrange) were studied at the middle of their commercial seasons in early May, June, July and August respectively. These cultivars differed significantly in their qualities, which were also affected by rootstocks and seasonal variation. The citrange rootstocks gave the largest juice volume, but the lowest acidity, ascorbic acid and carotenoid content, while Emperor mandarin rootstocks had opposite effects. Differences due to cultivar and rootstock alone were greater than those attributable to their interactions, which were significant only for 'Brix, Brix : acid ratio, ascorbic acid and carotenoids. Seasonal differences, particularly in Brix: acid and pigment levels might be attributed to the cooler weather in the second season. On a quality, yield and productivity basis it seems that Symons sweet orange and Emperor mandarins are the most suitable rootstocks for mandarins under Mildura conditions.

scholarly journals Silicon attenuates calcium deficiency by increasing ascorbic acid content, growth and quality of cabbage leaves

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Dalila Lopes da Silva ◽  
Renato de Mello Prado ◽  
Luis Felipe Lata Tenesaca ◽  
José Lucas Farias da Silva ◽  
Ben-Hur Mattiuz
Keyword(s):  
Ascorbic Acid ◽  
Nutrient Solution ◽  
Acid Content ◽  
Dry Matter ◽  
Ascorbic Acid Content ◽  
Calcium Deficiency ◽  
Ca Deficiency ◽  
Leaf Water Loss ◽  
Nutrient Solutions

AbstractCalcium (Ca) deficiency in cabbage plants induces oxidative damage, hampering growth and decreasing quality, however, it is hypothesized that silicon (Si) added to the nutrient solution may alleviate crop losses. Therefore, this study aims at evaluating whether silicon supplied in the nutrient solution reduces, in fact, the calcium deficiency effects on cabbage plants. In a greenhouse, cabbage plants were grown using nutrient solutions with Ca sufficiency and Ca deficiency (5 mM) without and with added silicon (2.5 mM), arranged as a 2 × 2 factorial in randomized blocks, with five replications. At 91 days after transplanting, the plants were harvested for biological evaluations. In the treatment without added Si, Ca deficiency promoted oxidative stress, low antioxidant content, decreased dry matter, and lower quality leaf. On the other hand, added Si attenuated Ca deficiency in cabbage by decreasing cell extravasation while increasing both ascorbic acid content and fresh and dry matter, providing firmer leaves due to diminished leaf water loss after harvesting. We highlighted the agronomic importance of Si added to the nutrient solution, especially in crops at risk of Ca deficiency.

scholarly journals Nodule Detection with Convolutional Neural Network Using Apache Spark and GPU Frameworks

2021 ◽  
Vol 11 (6) ◽  
pp. 2838
Author(s):  
Nikitha Johnsirani Venkatesan ◽  
Dong Ryeol Shin ◽  
Choon Sung Nam
Keyword(s):  
Neural Network ◽  
Radiation Dose ◽  
Convolutional Neural Network ◽  
Model Performance ◽  
Performance Comparison ◽  
Apache Spark ◽  
Training Time ◽  
Learning Framework ◽  
Proposed Model

In the pharmaceutical field, early detection of lung nodules is indispensable for increasing patient survival. We can enhance the quality of the medical images by intensifying the radiation dose. High radiation dose provokes cancer, which forces experts to use limited radiation. Using abrupt radiation generates noise in CT scans. We propose an optimal Convolutional Neural Network model in which Gaussian noise is removed for better classification and increased training accuracy. Experimental demonstration on the LUNA16 dataset of size 160 GB shows that our proposed method exhibit superior results. Classification accuracy, specificity, sensitivity, Precision, Recall, F1 measurement, and area under the ROC curve (AUC) of the model performance are taken as evaluation metrics. We conducted a performance comparison of our proposed model on numerous platforms, like Apache Spark, GPU, and CPU, to depreciate the training time without compromising the accuracy percentage. Our results show that Apache Spark, integrated with a deep learning framework, is suitable for parallel training computation with high accuracy.

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