ArticleAnalytical chemistry2010
Discrimination of complex mixtures by a colorimetric sensor array: coffee aromas.
Article in Analytical chemistry, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
29 citing papers in PubMed.
- Exhaled breath analysis with a colorimetric sensor array for the identification and characterization of lung cancer.Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer · 2012Trial
- Analytical modeling of thiosemicarbazone metal complexes-based colorimetric array for high-throughput detection of multiple biogenic amines.Mikrochimica acta · 2025Article
- Design of Electronic Nose Based on MOS Gas Sensors and Its Application in Juice Identification.Sensors (Basel, Switzerland) · 2025Article
- Fast and accurate identification of pathogenic bacteria using excitation-emission spectroscopy and machine learning.Sensors & diagnostics · 2024Article
- Organic-Acid-Sensitive Visual Sensor Array Based on Fenton Reagent-Phenol/Aniline for the Rapid Species and Adulteration Assessment of Baijiu.Foods (Basel, Switzerland) · 2024Article
- Food for Thought: Optical Sensor Arrays and Machine Learning for the Food and Beverage Industry.ACS sensors · 2024Review
- A Multi-Enzyme Cascade Response for the Colorimetric Recognition of Organophosphorus Pesticides Utilizing Core-Shell Pd@Pt Nanoparticles with High Peroxidase-like Activity.Foods (Basel, Switzerland) · 2023Article
- Thermal Contaminants in Coffee Induced by Roasting: A Review.International journal of environmental research and public health · 2023Review
- Metallic Effects on p-Hydroxyphenyl Porphyrin Thin-Film-Based Planar Optical Waveguide Gas Sensor: Experimental and Computational Studies.Nanomaterials (Basel, Switzerland) · 2022Article
- Distinguishing Aroma Profile of Highly-Marbled Beef according to Quality Grade using Electronic Nose Sensors Data and Chemometrics Approach.Food science of animal resources · 2022Article
- Review
- Disposable Colorimetric Paper-Based Probe for the Detection of Amine-Containing Gases in Aquatic Sediments.ACS omega · 2019Article
- Monitoring of Cell Concentration duringSensors (Basel, Switzerland) · 2019Article
- Supramolecular cages as differential sensors for dicarboxylate anions: guest length sensing using principal component analysis of ESI-MS andChemical science · 2019Article
- A Versatile Electronic Tongue Based on Surface Plasmon Resonance Imaging and Cross-Reactive Sensor Arrays-A Mini-Review.Sensors (Basel, Switzerland) · 2017Review
- Colorimetric Sensor Arrays for the Detection and Identification of Chemical Weapons and Explosives.Critical reviews in analytical chemistry · 2017Review
- An optoelectronic nose for identification of explosives.Chemical science · 2016Article
- Methods and approaches of utilizing ionic liquids as gas sensing materials.RSC advances · 2015Article
- Identification of pathogenic fungi with an optoelectronic nose.The Analyst · 2014Article
- DNA-polyfluorophore Chemosensors for Environmental Remediation: Vapor-phase Identification of Petroleum Products in Contaminated Soil.Chemical science · 2013Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
The analysis of complex mixtures presents a difficult challenge even for modern analytical techniques, and the ability to discriminate among closely similar such mixtures often remains problematic. Coffee provides a readily available archetype of such highly multicomponent systems. The use of a low-cost, sensitive colorimetric sensor array for the detection and identification of coffee aromas is reported. The color changes of the sensor array were used as a digital representation of the array response and analyzed with standard statistical methods, including principal component analysis (PCA) and hierarchical clustering analysis (HCA). PCA revealed that the sensor array has exceptionally high dimensionality with 18 dimensions required to define 90% of the total variance. In quintuplicate runs of 10 commercial coffees and controls, no confusions or errors in classification by HCA were observed in 55 trials. In addition, the effects of temperature and time in the roasting of green coffee beans were readily observed and distinguishable with a resolution better than 10 degrees C and 5 min, respectively. Colorimetric sensor arrays demonstrate excellent potential for complex systems analysis in real-world applications and provide a novel method for discrimination among closely similar complex mixtures.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.