相关实验视频

Updated: Jul 9, 2025

PTR-ToF-MS Coupled with an Automated Sampling System and Tailored Data Analysis for Food Studies: Bioprocess Monitoring, Screening and Nose-space Analysis

PTR-ToF-MS Coupled with an Automated Sampling System and Tailored Data Analysis for Food Studies: Bioprocess Monitoring, Screening and Nose-space Analysis

Published on: May 11, 2017

非破坏性代谢指纹:食品查中的FTIR,NIR和拉曼光谱

Nur Cebi¹, Hatice Bekiroglu^1,2, Azime Erarslan³

¹Food Engineering Department, Chemical-Metallurgical Faculty, Yıldız Technical University, 34210 Istanbul, Turkey.

Molecules (Basel, Switzerland)

|December 9, 2023

概括

像FTIR,NIR和Raman这样的振动光谱技术,加上多变量分析,为食品质量和安全提供快速和成本效益的代谢指纹. 这些方法可以精确检测和表征食品矩阵中的化合物和微生物.

科学领域:

食品科学食品科学食品科学
分析化学分析化学
生物技术是生物技术.

背景情况:

代谢指纹对确保食品质量和安全至关重要.
非定位振动光谱技术提供了高吞吐量,成本效益和快速分析.
传统方法往往缺乏现代食品分析所需的速度和全面的分析能力.

研究的目的:

审查富里埃变换红外 (FTIR),近红外 (NIR) 和拉曼光谱对代谢指纹的能力.
突出振动光谱学和食品经济学中的多变量分析之间的协同作用.
探索这些技术在识别和量化关键食品成分和微生物方面的应用.

主要方法:

使用FTIR,NIR和拉曼光谱来进行非目标代谢指纹.
应用多变量分析 (化学测量) 用于数据处理和模式识别.
审查以前关于食品中化合物和微生物物种的检测和表征的研究.

主要成果:

振动光谱技术为各种食品矩阵提供了有价值的指纹信息.
成功检测和定量各种代谢物,包括氨基酸,和黄.
使用模式识别技术有效识别和描述真菌,细菌和酵母物种.

结论:

FTIR,NIR和拉曼光谱,结合多变量统计,是食品分析和食品经济学的强大工具.
这些技术有助于全面的代谢指纹和个人资料.
经过审查的方法显示了提高食品安全和质量评估的巨大潜力.

关键词:

美国的FTIR是FTIR.在NIR中,NIR是NIR.拉曼·拉曼,拉曼·拉曼,拉曼·拉曼.食品质量食品质量食品质量代谢生物组的代谢生物组模式识别模式识别模式识别

更多相关视频

Single-throughput Complementary High-resolution Analytical Techniques for Characterizing Complex Natural Organic Matter Mixtures

Single-throughput Complementary High-resolution Analytical Techniques for Characterizing Complex Natural Organic Matter Mixtures

Published on: January 7, 2019

NMR Spectroscopy as a Robust Tool for the Rapid Evaluation of the Lipid Profile of Fish Oil Supplements

Published on: May 1, 2017

相关概念视频

Applications of IR Spectroscopy: Overview

Applications of IR Spectroscopy: Overview

The non-destructive nature and ability to provide valuable chemical information make IR spectroscopy a versatile technique with broad applications in various scientific and industrial fields. IR spectroscopy is commonly used to identify and characterize organic and inorganic compounds. It provides information about the functional groups present in a molecule and the bonding between atoms. This helps in the structural elucidation of compounds during organic synthesis, pharmaceutical research,...

IR Frequency Region: Fingerprint Region

IR Frequency Region: Fingerprint Region

IR spectra are divided into two main regions: the diagnostic region and the fingerprint region. The diagnostic region of the spectrum lies above 1500 cm−1. The absorptions resulting from single-bond vibrations of the N–H, C–H, and O–H stretch at higher wavenumbers and appear on the left side of the spectrum. The stretching absorptions of the C≡C and C≡N occur between 2100–2300 cm−1. In contrast, those arising from stretching absorptions of the...