光谱学与光谱分析 |
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Study of Volatile Organic Compounds of Fresh Allium Species Using Headspace Combined with Surface-Enhanced Raman Scattering |
SI Min-zhen, ZHANG De-qing, LIU Ren-ming |
College of Physics and Electronic Science, Chuxiong Normal University, Chuxiong 675000, China |
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Abstract In order to identify volatile organic compounds of fresh plants at room temperature and avoid sample pretreatment and extractions which can be labor intensive, garlic, Chinese chives and scallion were chopped into pieces. Then some of them were placed in the headspace vial and sealed. The gases were drawn from the vial with a syringe and were injected very slowly into Ag colloids for test using R-3000 portable Raman spectrometer. The spectra of volatile organic compounds of allium species, fresh garlic, Chinese chive and shallot plants were successfully recorded for the first time. For garlic high intensity bands are present at 307, 399, 569, 711, 1 182, 1 287, 1 397 and 1 622 cm-1. For Chinese chives the high intensity band is present at 672 cm-1. Low intensity bands are present at 274, 412, 575, 1 185, 1 289, 1 396, 1 618 cm-1. For shallot high intensity bands are present at 693 cm-1. Lower intensity bands are present at 372, 888, 1 023 cm-1. Low intensity bands are present at 1 088, 1 211 and 1 322 cm-1. The SERS of dially1 disulfide, allyl methyl sulfide and 1-propanethiol in liquid state and gas state were also obtained. The main volatile organic compound of fresh garlic, Chinese chive and shallot are diallyl disulfide, allyl methyl sulfide and 1-propanethiol respectively, and the volatile organic compound of fresh onion, scallion, shallot and chive are all 1-propanethiol. The presented results illustrate that combining headspace and SERS is a powerful tool for volatile organic compound analysis in fresh plants. The volatile organic compound can be detected in fresh plant samples directly and quickly without extraction.
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Received: 2013-06-03
Accepted: 2013-11-16
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Corresponding Authors:
SI Min-zhen
E-mail: minzhensi@hotmail.com; siminzhen@cxtc.edu.cn
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