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1.
Ying Yong Sheng Tai Xue Bao ; 29(3): 921-930, 2018 Mar.
Article in Chinese | MEDLINE | ID: mdl-29722236

ABSTRACT

We examined the effects of different amounts of nutrient solution supply on the yield, quality and volatile substances of tomato fruit by substrate cultivation. Using tomato cultivar 'HL2109' as experimental material, four treatments were set, including Control: irrigating with 117 L pure water for each plant; T1: irrigating each plant with 39.0 L of nutrient solution; T2: irrigating each plant with 58.5 L of nutrient solution; T3: irrigating each plant with 117 L of nutrient solution. The quality and volatile substances of tomato fruits were determined by using chemical method and SPME-GC-MS technique. The results showed that the yield per plant and the gross production increased and then decreased with the increases of nutrient solution supply. The yield of T2 was the highest among all treatments. The yields of T1, T2 and T3 were 29.3%, 72.6% and 47.0% higher than that in Control, respectively. The irrigation water use efficiency of T1 was the highest and T2 took second place, though the difference being not significant. The soluble solids content and sugar acid ratio of tomato fruits in T2 were the highest, and the flavor and quality were significantly improved. The content of ascorbic acid and soluble protein gradually increased with the increases of nutrient solution supply. The contents of total soluble sugar and reducing sugar were first increased and then decreased, both being highest in T2. Using GC-MS analysis, a total of 69 volatile compounds were detected. The total content of volatile compounds from T1, T2 and T3 were higher than that in Control, which presented as T2ï¹¥T1ï¹¥T3ï¹¥CK. Among them, the content of volatile compounds from T2 was 6971 µg·kg-1, which was 1.97 times higher than that in the Control. The content from T3 was 4070 µg·kg-1, being 0.73 times of that in the Control. The contents of 1-Pentene-3-one, 6-Methyl-5-hepten-2-one, hexanal, hexanoic acid, Phenylacetaldehyde and cis-3-hexenal were highest in T2 among all treatments. Moreover, the content of characteristic volatile compounds, the quantity and total content of volatile compounds were highest in T2. Taken together, the T2 treatment (irrigating each plant with 58.5 L of nutrient solution) had the best effects, with the quality and content of volatile compounds in tomato fruit being improved.


Subject(s)
Solanum lycopersicum/growth & development , Fruit , Gas Chromatography-Mass Spectrometry , Solanum lycopersicum/physiology , Volatile Organic Compounds
2.
Neurosci Res ; 72(2): 163-71, 2012 Feb.
Article in English | MEDLINE | ID: mdl-22062377

ABSTRACT

For functional neuroimaging with near-infrared spectroscopy (NIRS), we recently introduced a probabilistic registration method that uses a reference magnetic resonance image (MRI) database instead of the subject's own MRI, and probabilistically registers the NIRS optode or channel positions onto a canonical brain template in the standard stereotactic brain coordinate systems. As an alternative method, we devised an anchor-based registration method utilizing roughly obtained anchor positions on the scalp instead of strictly defined landmarks such as 10/20 landmarks. This method uses a spherical coordinate system to seek a position in the reference MRI database that corresponds to the anchor position, and eventually presents NIRS optode and channel positions in the standard stereotactic brain coordinate system. For comparison against conventional probabilistic registration, we simulated NIRS optode holder placement on 100 synthesized virtual heads, and found holistic tendencies for probe position estimations were similar between the two methods. Comparison among anchor-based probabilistic registration, conventional probabilistic registration, and SPM-based registration via co-registration to a subject's own MRI revealed that intra-method variability was comparable to a small inter-method variability. Thus, anchor-based registration is a practical alternative, especially to avoid burdening a subject and to reduce experimental time.


Subject(s)
Algorithms , Brain Mapping/methods , Image Interpretation, Computer-Assisted/methods , Magnetic Resonance Imaging/methods , Models, Theoretical , Spectroscopy, Near-Infrared/methods , Humans
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