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1.
Anal Methods ; 14(48): 5056-5064, 2022 12 15.
Artigo em Inglês | MEDLINE | ID: mdl-36448743

RESUMO

Beer spoilage bacteria have been a headache for major breweries. In order to rapidly identify spoilage bacteria and improve the sensitivity and signal-to-noise ratio of bacterial SERS detection, the label-free SERS technique was used as a starting point, and we found eight bacteria species that led to beer spoilage. The impact of AgNP concentration and AgNP and bacterial binding time on the final results were thoroughly investigated. To maximize the increase in the SERS signal, an aluminized chip was created. We merged the t-SNE reduced dimensional analysis algorithm, and SVM, KNN, and LDA machine learning algorithms to further investigate the effect of the approach on the final identification rate. The results demonstrate that SERS spectra had an increased intensity and signal-to-noise ratio. The machine learning classification accuracy rates were all above 90%, indicating that the bacteria were correctly classified and identified.


Assuntos
Cerveja , Microbiologia de Alimentos , Cerveja/microbiologia , Bactérias/genética , Análise de Sequência com Séries de Oligonucleotídeos , Tecnologia
2.
J Chromatogr A ; 1685: 463624, 2022 Dec 06.
Artigo em Inglês | MEDLINE | ID: mdl-36345075

RESUMO

Water pollution is becoming increasingly serious and seriously endangering human health, especially the direct emissions of phenolic compounds. An integrated sample pre-treatment and derivatization method based on a biopolymers/TEOS-based carbon nanofibers microextraction that allows rapid extraction (5 min), followed by separation and highly sensitive detection of phenolic compounds by gas chromatography‒mass spectrometry (GC-MS) analysis, is described. The developed methodology, coupled with GC-MS, allowed low detection limits (0.03-0.32 ng mL‒1), good linearities (0.5-200 ng mL‒1) and recoveries (73.58-85.76%) to be achieved in a few steps and short time. Based on the high adsorption properties of materials, the on-line removal device of phenolic compounds in water was designed. The elimination rate of phenolic compounds in water was higher than 73.58% at 1 mL min‒1 and three cycles. The elimination strategy for the phenolic compounds is very versatile and is easy to apply.


Assuntos
Nanofibras , Poluentes Químicos da Água , Humanos , Água/química , Nanofibras/química , Porosidade , Carbono , Fenóis/análise , Poluentes Químicos da Água/análise
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