Combining with volatilomic profiling and chemometrics to explore the volatile characteristics in five different dried Zanthoxylum bungeanum maxim

萜烯 化学 花椒 化学计量学 气相色谱-质谱法 色谱法 食品科学 质谱法 植物 有机化学 生物
作者
Jinze Feng,Lifang Hao,Hanyue Zhu,Maowen Li,Yulin Liu,Qiuxiao Duan,Lili Jia,Dongmei Wang,Cheng Wang
出处
期刊:Food Research International [Elsevier]
卷期号:175: 113719-113719 被引量:2
标识
DOI:10.1016/j.foodres.2023.113719
摘要

Owing to the short picking period of the fresh Zanthoxylum bungeanum, the postharvest drying has become an essential operation before the storage and transportation of Z. bungeanum. To explore the effects of drying methods on volatile characteristics, the volatilomic profiling of five different dried Z. bungeanum was investigated by E-nose, HS-SPME-GC/MS, GC-IMS in combination with chemometrics. The results indicated that W1W, W2W and W5S sensors within E-nose analysis showed the strongest responses in both fresh and dried Z. bungeanum. According to the identification of volatile organic compounds (VOCs), terpenes, esters and alcohols played the major roles in the volatile formation of the fresh and dried Z. bungeanum. The samples derived from hot air drying showed the relatively similar features with the fresh sample based on the relative abundances of these major VOCs. According to the results of multiple factor analysis (MFA), GC-IMS showed the strongest ability in distinguishing the fresh and different dried samples. Compared with the high levels of terpenes in fresh group, the significant increasement of terpene alcohols and terpene esters from the degradation and transformation of bound terpenoids was the main characteristics of all dried Z. bungeanum. Using the GC-IMS datasets, a weighted correlation network analysis (WCNA) model was constructed to clarify the VOC characteristics in all detetected samples. Thereinto, 6 significantly correlated modules were identified in fresh and five different dried samples. Additionally, a total of 23 hub VOCs can be recognized as the potential biomarkers for better distinguishing the fresh and five different dried Z. bungeanum.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

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
刚刚
wanci应助科研通管家采纳,获得10
刚刚
1秒前
共享精神应助科研通管家采纳,获得10
1秒前
香蕉觅云应助科研通管家采纳,获得30
1秒前
深情安青应助科研通管家采纳,获得10
1秒前
李1完成签到 ,获得积分10
1秒前
1秒前
1秒前
xiaowu应助科研通管家采纳,获得10
1秒前
领导范儿应助科研通管家采纳,获得10
1秒前
科研通AI2S应助科研通管家采纳,获得10
1秒前
1秒前
爱静静应助科研通管家采纳,获得20
1秒前
爱静静应助科研通管家采纳,获得10
1秒前
2秒前
2秒前
2秒前
601完成签到,获得积分20
3秒前
左囧发布了新的文献求助10
3秒前
xiaoyingwang完成签到,获得积分20
5秒前
坚果发布了新的文献求助10
6秒前
Alicia发布了新的文献求助10
6秒前
香蕉觅云应助树德采纳,获得10
7秒前
7秒前
机智半双完成签到 ,获得积分10
7秒前
perovskite完成签到,获得积分10
8秒前
9秒前
英姑应助蛋白聚糖采纳,获得10
9秒前
10秒前
彭于晏应助小丁呀采纳,获得10
10秒前
寻找发布了新的文献求助10
11秒前
从容芮应助shawn采纳,获得10
12秒前
FashionBoy应助高兴的夜天采纳,获得10
13秒前
充电宝应助大胆的尔岚采纳,获得10
15秒前
夜乡晨发布了新的文献求助10
17秒前
一池楼台完成签到,获得积分10
17秒前
肚皮完成签到 ,获得积分10
17秒前
muyi完成签到,获得积分10
19秒前
20秒前
高分求助中
Licensing Deals in Pharmaceuticals 2019-2024 3000
Cognitive Paradigms in Knowledge Organisation 2000
Effect of reactor temperature on FCC yield 2000
How Maoism Was Made: Reconstructing China, 1949-1965 800
Introduction to Spectroscopic Ellipsometry of Thin Film Materials Instrumentation, Data Analysis, and Applications 600
Promoting women's entrepreneurship in developing countries: the case of the world's largest women-owned community-based enterprise 500
Shining Light on the Dark Side of Personality 400
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3310754
求助须知:如何正确求助?哪些是违规求助? 2943470
关于积分的说明 8515381
捐赠科研通 2618826
什么是DOI,文献DOI怎么找? 1431439
科研通“疑难数据库(出版商)”最低求助积分说明 664468
邀请新用户注册赠送积分活动 649675