Tri-octahedral bentonites as potential technological feed additive for Fusarium mycotoxin reduction

真菌毒素 吸附 黄曲霉毒素 玉米赤霉烯酮 弗伦德利希方程 化学 镰刀菌 伏马菌素B1 朗缪尔 膨润土 八面体 核化学 食品科学 有机化学 化学工程 植物 生物 晶体结构 工程类
作者
Pilar Vila‐Donat,Sonia Marı́n,Vicente Sanchís,Antonio J. Ramos
出处
期刊:Food Additives & Contaminants: Part A [Taylor & Francis]
卷期号:37 (8): 1374-1387 被引量:9
标识
DOI:10.1080/19440049.2020.1766702
摘要

In 2009 the EU Regulation 386/2009 established a new functional group of feed additives called “substances for reduction of the contamination of feed by mycotoxin”. Later, di-octahedral bentonite (1 m558) was authorised, as an anti-aflatoxin additive, being the only additive of this group authorised to date. This work aims to demonstrate the effectiveness of other bentonites, such as tri-octahedral bentonites, versus Fusarium-mycotoxins, since very few adsorbents have proved their effectiveness in relation to this group of mycotoxins. For this purpose, 7 bentonites (six of them tri-octahedral) and 7 commercial adsorbents, added at 0.02% (w/v), were assayed in an in vitro adsorption experiment using two simulated gastro-intestinal (GI) juices (pH 1.3 and 6.8) versus zearalenone (ZEN: 0.1–5 mg/L), fumonisin B1 (FB1: 1–10 mg/L) and deoxynivalenol (DON: 2–10 mg/L). Mycotoxin adsorption data were fitted to Langmuir and Freundlich isotherms. In vitro adsorption experiments showed that ZEN and FB1 (in the latter case only in acid medium) were partially adsorbed, while the adsorption of DON was negligible. Moreover, the increase of adsorbent dose (up to 0.20%, w/v) significantly improved the in vitro adsorption of ZEN and FB1, reaching >90% of adsorption. The present work proposes the use of some tri-octahedral bentonites as feed additives for Fusarium-mycotoxin reduction.

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
搜集达人应助闪闪的书本采纳,获得30
刚刚
1秒前
1秒前
1秒前
TEDDY发布了新的文献求助10
1秒前
MMX发布了新的文献求助10
2秒前
喜悦的难摧完成签到,获得积分10
3秒前
思源应助zl50268采纳,获得10
3秒前
韩永利完成签到,获得积分10
3秒前
Hase发布了新的文献求助30
4秒前
annie完成签到,获得积分10
4秒前
4秒前
4秒前
4秒前
4秒前
4秒前
4秒前
4秒前
4秒前
4秒前
4秒前
5秒前
5秒前
李壮壮关注了科研通微信公众号
5秒前
Owen应助太叔若南采纳,获得30
7秒前
英姑应助美好的老黑采纳,获得10
7秒前
Atan完成签到,获得积分10
7秒前
7秒前
研友_VZG7GZ应助若水三千采纳,获得10
8秒前
Jenny完成签到,获得积分10
8秒前
dyy发布了新的文献求助10
9秒前
9秒前
Wendy发布了新的文献求助10
9秒前
科目三应助xinying采纳,获得10
9秒前
10秒前
34101127完成签到,获得积分10
10秒前
11秒前
科研通AI2S应助大棒棒采纳,获得10
11秒前
科研通AI6.3应助541采纳,获得10
12秒前
12秒前
高分求助中
Overcoming Stigma and Bias in Obesity Management 800
Malcolm Fraser : a biography 700
Signals, Systems, and Signal Processing 610
Materials selection in mechanical design 500
Bounds for Statistical Estimation in Semiparametric Models 500
Forced degradation and stability indicating LC method for Letrozole: A stress testing guide 500
Ideology and Meaning-Making under the Putin Regime 450
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 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6479284
求助须知:如何正确求助?哪些是违规求助? 8280538
关于积分的说明 17661444
捐赠科研通 5561878
什么是DOI,文献DOI怎么找? 2911396
邀请新用户注册赠送积分活动 1888408
关于科研通互助平台的介绍 1742449