Related Experiment Video
Updated: Nov 2, 2025

Atomic Force Microscopy Combined with Infrared Spectroscopy as a Tool to Probe Single Bacterium Chemistry
Published on: September 15, 2020
Advances in differentiation and identification of foodborne bacteria using near infrared spectroscopy
Yanlong Tian1, Xuejun Gao, Wen-Liang Qi
1School of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, PR China. dllu@ujs.edu.cn ncp@ujs.edu.cn.
Abstract:
Rapid and sensitive detection of foodborne bacteria is a growing concern for ensuring safe food supply and preventing human foodborne infections. It is difficult for conventional methods to meet these detection requirements because they are often tedious and time-consuming. In the recent years, near infrared (NIR) spectroscopy has been found to be a promising method for all sorts of analyses in microbiology due to its highly specific absorption signature and non-destructive measurements. In this review, we first briefly introduce the fundamental and basic operational procedure of NIR spectroscopy for foodborne bacteria detection. Then we summarize the main advances and contributions of this technique in the study of foodborne bacteria. Finally, we conclude that much work still remains to be done before NIR spectroscopy really becomes a viable alternative in the field of microbiological characterization.
More Related Videos
10:25Construction of Models for Nondestructive Prediction of Ingredient Contents in Blueberries by Near-infrared Spectroscopy Based on HPLC Measurements
Published on: June 28, 2016
04:07Author Spotlight: Integrated OPTIR-FISH for Single-Cell Metabolic and Identity Analysis in Complex Environments
Published on: February 23, 2024
Related Concept Videos
Methods of Classification and Identification
Applications of IR Spectroscopy: Overview
Infrared (IR) Spectroscopy: Overview
Different compounds display unique properties due to their...
MALDI-TOF Mass Spectrometry
Matrix-assisted laser desorption ionization (MALDI) is a commonly...
Modern Molecular Taxonomy
IR Frequency Region: Fingerprint Region