Improvement of the Assay Method for Steviol Glycosides in the JECFA Specifications

作者
Atsuko Tada,Kyoko Ishizuki,Jun-ichi IWAMURA,Hirohisa Mikami,Yoshiko Hirao,Isao Fujita,Takeshi Yamazaki,Hiroshi Akiyama,Yōko Kawamura
出处
期刊:American Journal of Analytical Chemistry [Scientific Research Publishing]
卷期号:04 (04): 190-196 被引量:19
标识
DOI:10.4236/ajac.2013.44024
摘要

Steviol glycosides are natural sweetener constituents found in the leaves of Stevia rebaudiana Bertoni (Asteraceae). The specifications for steviol glycosides were established by the Joint FAO/WHO Expert Committee on Food Additives (JECFA) in 2008, although there was a call in the following year for the modification of this assay method to enable the determination of nine steviol glycosides rather than just seven. In response, based on a proposed method by the Japan Stevia Association, we developed an improved method by changing the HPLC conditions and including the use of an octadecylsilyl column instead of an amino-bonded column to enable the rapid and reliable determination of the nine steviol glycosides by an isocratic HPLC-UV method. With the developed method, the nine steviol glycosides can be separately determined, and identified using individual reference chemicals as standards, unlike the previous identification method, which was based on the relative retention times. In addition, the single stevioside quantification standard was replaced with both stevioside and rebaudioside A quantification standards. Importantly, the validation of the developed method was successful. The limits of quantification for the nine steviol glycosides were between 0.2% and 0.6%. The developed assay method for the nine steviol glycosides was proposed to JECFA and adopted as the revised assay method for the steviol glycosides specifications at its 73rd meeting in 2010.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
今天你开组会了吗完成签到,获得积分10
刚刚
时尚战斗机完成签到,获得积分10
1秒前
许泰菲完成签到,获得积分10
1秒前
li完成签到,获得积分10
1秒前
灵巧的青寒完成签到,获得积分10
1秒前
2秒前
abb完成签到 ,获得积分10
2秒前
海里的鱼额完成签到 ,获得积分10
3秒前
星辰大海应助doudou采纳,获得10
3秒前
优雅的老姆完成签到,获得积分10
4秒前
潇洒念波完成签到,获得积分10
4秒前
BA1完成签到,获得积分10
4秒前
Aimer发布了新的文献求助10
4秒前
4秒前
5秒前
翟国庆完成签到,获得积分10
5秒前
科研通AI6.4应助无一采纳,获得10
5秒前
靖哥完成签到,获得积分10
5秒前
春日午后完成签到,获得积分10
6秒前
张l完成签到,获得积分20
6秒前
Zo完成签到,获得积分10
6秒前
格调完成签到,获得积分10
6秒前
852应助Zhou采纳,获得10
7秒前
江你一军完成签到,获得积分10
8秒前
zz完成签到,获得积分10
8秒前
wangbw完成签到,获得积分10
8秒前
小公牛完成签到 ,获得积分10
8秒前
顾矜应助木南采纳,获得10
8秒前
9秒前
温柔的芸完成签到 ,获得积分10
9秒前
33完成签到 ,获得积分10
9秒前
Fairy完成签到,获得积分10
10秒前
刻苦的战斗机关注了科研通微信公众号
10秒前
yanghuiy1发布了新的文献求助10
10秒前
11秒前
past完成签到 ,获得积分10
12秒前
LSY完成签到 ,获得积分10
12秒前
谎言不会伤人完成签到,获得积分10
12秒前
赘婿应助lvyinbing采纳,获得10
12秒前
奔跑的考拉完成签到,获得积分10
13秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Römisch-Germanische Forschungen 1000
APA handbook of comparative psychology: Basic concepts, methods, neural substrate, and behavior 1000
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
An introduction of AMSTAR-2: a quality assessment instrument of systematic reviews including randomized or non-randomized controlled trials or both 500
An introduction to a measurement tool to assess the methodological quality of systematic reviews/meta-analysis: AMSTAR 500
The formulation methods and steps of umbrella review 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7605876
求助须知:如何正确求助?哪些是违规求助? 9181732
关于积分的说明 19663439
捐赠科研通 7180246
什么是DOI,文献DOI怎么找? 3269523
关于科研通互助平台的介绍 2433442
邀请新用户注册赠送积分活动 2263701