食品研究与开发
食品研究與開髮
식품연구여개발
FOOD RESEARCH AND CEVELOPMENT
2014年
12期
62-65,116
,共5页
GasBench II-IRMS%橙汁%水%氧同位素组成%乙醇
GasBench II-IRMS%橙汁%水%氧同位素組成%乙醇
GasBench II-IRMS%등즙%수%양동위소조성%을순
GasBench II-IRMS%orange juice%water%oxygen stable isotope ratio (δ18O)%ethanol
橙汁中水的氧(δ18O)同位素比值对于果汁真实性技术鉴别具有重要意义。文章分别考察反应瓶气密性、样品体积、平衡时间和乙醇等因素对橙汁中水的氧同位素影响分析;添加乙醇可有效抑制鲜橙汁的微生物发酵,避免测定过程因橙汁发酵产生CO2干扰橙汁水中氧同位素有效测定问题。经优化建立GasBench II-IRMS测定新鲜橙汁中水的δ18O比值在线分析方法。结果表明,当橙汁样品体积200μL~1000μL、加入10%乙醇、反应24 h~48 h后测定,同一样品中水的δ18O比值的重复性和再现性标准偏差(1σ)均小于0.1‰,完全符合测定要求,方法操作简便,可实现大批量连续测定。
橙汁中水的氧(δ18O)同位素比值對于果汁真實性技術鑒彆具有重要意義。文章分彆攷察反應瓶氣密性、樣品體積、平衡時間和乙醇等因素對橙汁中水的氧同位素影響分析;添加乙醇可有效抑製鮮橙汁的微生物髮酵,避免測定過程因橙汁髮酵產生CO2榦擾橙汁水中氧同位素有效測定問題。經優化建立GasBench II-IRMS測定新鮮橙汁中水的δ18O比值在線分析方法。結果錶明,噹橙汁樣品體積200μL~1000μL、加入10%乙醇、反應24 h~48 h後測定,同一樣品中水的δ18O比值的重複性和再現性標準偏差(1σ)均小于0.1‰,完全符閤測定要求,方法操作簡便,可實現大批量連續測定。
등즙중수적양(δ18O)동위소비치대우과즙진실성기술감별구유중요의의。문장분별고찰반응병기밀성、양품체적、평형시간화을순등인소대등즙중수적양동위소영향분석;첨가을순가유효억제선등즙적미생물발효,피면측정과정인등즙발효산생CO2간우등즙수중양동위소유효측정문제。경우화건립GasBench II-IRMS측정신선등즙중수적δ18O비치재선분석방법。결과표명,당등즙양품체적200μL~1000μL、가입10%을순、반응24 h~48 h후측정,동일양품중수적δ18O비치적중복성화재현성표준편차(1σ)균소우0.1‰,완전부합측정요구,방법조작간편,가실현대비량련속측정。
Oxygen stable isotope ratio(δ18O) of water is currently applied for detecting illegal addition of exogenous water in juice. The method of determination of δ18O in water from orange juice samples by GasbenchⅡ-IRMS using on-line equilibration technique was reported in this paper, and the effects of sample volume, equilibration time and ethanol on the determination ofδ18O in water were discussed. Results showed that ethanol contribute to inhibit fermentation of fresh juice effectively, avoid a great influence on the determination ofδ18O of water by CO2 origined from fermentation, the method above was stable with a standard deviation (1σ) lower than 0.1 ‰following conditions: sample volume range from 200 μL to 1 000 μL with 10 % (V/V) ethanol added and equilibration time range from 24 h to 48 h. This method had an advantage of easy and rapid operating with a lowering Sample consumption, and especially can be used continuously for a large number of instances in batch.