Abstract: Citrus fruits are very popular food products. There are many species and varieties of them. There are also documented cases of some citrus fruits causing a severe allergic reaction. Some species of the citrus fruits, especially hybrid ones show a reduced allergenic effect due to the lack of seeds. There is a need for rapid methods for evaluation of citrus' botanical origin. During research, the headspace of three citrus fruits , and × was analysed using electronic nose based on ultrafast gas chromatography and gas chromatography with mass spectrometry. In the paper, two approaches were compared. The usefulness of an electronic nose to control the quality of hybrids was demonstrated. The results obtained during ultrafast gas chromatography analyses were subjected to statistical analysis. Four chemometric methods namely: principal component analysis (PCA), discriminant function analysis (DFA), soft independent modeling of class analogies (SIMCA), statistical quality control (SQC) were used to distinguish between limequat and its parent fruits. Electronic nose combined with chemometrics is a novel analytical tool for hybrid fruits' classification due to their botanical origin. It can supplement established techniques by providing results in a short time and at a low cost.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6105222 | PMC |
| http://dx.doi.org/10.1007/s00706-018-2242-7 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Diagnostic Accuracy of Breath Tests to Detect Pulmonary Tuberculosis: A Systematic Review.
Lung
January 2025
Department of Medicine, National University Hospital, NUHS Tower Block, Level 10, 1E Kent Ridge Road, Singapore, 119228, Singapore.
Purpose: Tuberculosis (TB) is a highly contagious infection and one of the world's leading causes of death from a single infectious agent. Currently, TB diagnosis can be established via mycobacterial cultures, Acid Fast Bacilli smear and molecular studies. In the ever-evolving landscape of medical advancements, breath tests have shown considerable promise.
View Article and Find Full Text PDFCharacterization of flavor profiles of water-boiled pork meatballs at different ultrasonic powers using solid-phase microextraction gas chromatography-mass spectrometry combined with electronic nose.
Meat Sci
January 2025
College of Food Science and Engineering, Yangzhou University, Yangzhou, Jiangsu 225127, China. Electronic address:
The objective of this study was to evaluate the flavor profiles of water-boiled pork meatballs at different ultrasonic powers (0, 150, 300, 450, 600, and 750 W) using solid-phase microextraction gas chromatography-mass spectrometry (SPME-GC-MS) combined with electronic nose (E-nose). A total of 36 volatile compounds were determined by SPME-GC-MS, including alcohols, aromatic hydrocarbons, aldehydes, terpenes, alkanes, phenols, ketones, and other. With the appropriate ultrasound treatment, the type and relative content of volatile compounds were significantly increased (P < 0.
View Article and Find Full Text PDFDesign Principles From Natural Olfaction for Electronic Noses.
Adv Sci (Weinh)
January 2025
Harvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, Boston, MA, 02134, USA.
Natural olfactory systems possess remarkable sensitivity and precision beyond what is currently achievable by engineered gas sensors. Unlike their artificial counterparts, noses are capable of distinguishing scents associated with mixtures of volatile molecules in complex, typically fluctuating environments and can adapt to changes. This perspective examines the multifaceted biological principles that provide olfactory systems their discriminatory prowess, and how these ideas can be ported to the design of electronic noses for substantial improvements in performance across metrics such as sensitivity and ability to speciate chemical mixtures.
View Article and Find Full Text PDFMultigas Identification by Temperature-Modulated Operation of a Single Anodic Aluminum Oxide Gas Sensor Platform and Deep Learning Algorithm.
ACS Sens
January 2025
Korea Advanced Institute of Science and Technology, Daejeon 34141, Republic of Korea.
Semiconductor metal oxide (SMO) gas sensors are gaining prominence owing to their high sensitivity, rapid response, and cost-effectiveness. These sensors detect changes in resistance resulting from oxidation-reduction reactions with target gases, responding to a variety of gases simultaneously. However, their inherent limitations lie in selectivity.
View Article and Find Full Text PDFThe establishment of ham grade, sensory scores and key flavor substances prediction models for Jinhua ham via E-nose combined with machine learning.
Food Chem
January 2025
Key Laboratory of Geriatric Nutrition and Health, School of Food and Health, Beijing Technology and Business University, Beijing 100048, China. Electronic address:
Unique organoleptic and flavor attributes of Jinhua ham are associated with their qualities. However, methods for quickly predicting the grade of hams, sensory scores and key flavor substances have not been systematically established. This study used sensory evaluation and E-nose to analyze the sensory differences for different grades of Jinhua ham.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!