Pregled bibliografske jedinice broj: 1160671
Influence of Sample Matrix on Determination of Histamine in Fish by Surface Enhanced Raman Spectroscopy Coupled with Chemometric Modelling
Influence of Sample Matrix on Determination of Histamine in Fish by Surface Enhanced Raman Spectroscopy Coupled with Chemometric Modelling // Foods, 10 (2021), 8; 1767, 12 doi:10.3390/foods10081767 (međunarodna recenzija, članak, znanstveni)
CROSBI ID: 1160671 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Influence of Sample Matrix on Determination of
Histamine in Fish by Surface Enhanced Raman
Spectroscopy Coupled with Chemometric Modelling
Autori
Filipec, Sanja Vidaček ; Valinger, Davor ; Mikac, Lara ; Ivanda, Mile ; Kljusurić, Jasenka Gajdoš ; Janči, Tibor
Izvornik
Foods (2304-8158) 10
(2021), 8;
1767, 12
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
histamine ; fish ; matrix effect ; SERS ; silver colloid ; PLS regression ; principal component analysis ; artificial neural network ; rapid methods
Sažetak
Histamine fish poisoning is a foodborne illness caused by the consumption of fish products with high histamine content. Although intoxication mechanisms and control strategies are well known, it remains by far the most common cause of seafood-related health problems. Since conventional methods for histamine testing are difficult to implement in high-throughput quality control laboratories, simple and rapid methods for histamine testing are needed to ensure the safety of seafood products in global trade. In this work, the previously developed SERS method for the determination of histamine was tested to determine the influence of matrix effect on the performance of the method and to investigate the ability of different chemometric tools to overcome matrix effect issues. Experiments were performed on bluefin tuna (Thunnus thynnus) and bonito (Sarda sarda) samples exposed to varying levels of microbial activity. Spectral analysis confirmed the significant effect of sample matrix, related to different fish species, as well as the extent of microbial activity on the predictive ability of PLSR models with R2 of best model ranging from 0.722–0.945. Models obtained by ANN processing of factors derived by PCA from the raw spectra of the samples showed excellent prediction of histamine, regardless of fish species and extent of microbial activity (R2 of validation > 0.99).
Izvorni jezik
Engleski
Znanstvena područja
Interdisciplinarne tehničke znanosti, Prehrambena tehnologija
POVEZANOST RADA
Ustanove:
Prehrambeno-biotehnološki fakultet, Zagreb,
Institut "Ruđer Bošković", Zagreb
Profili:
Lara Mikac
(autor)
Davor Valinger
(autor)
Mile Ivanda
(autor)
Tibor Janči
(autor)
Jasenka Gajdoš Kljusurić
(autor)
Citiraj ovu publikaciju:
Časopis indeksira:
- Current Contents Connect (CCC)
- Web of Science Core Collection (WoSCC)
- Science Citation Index Expanded (SCI-EXP)
- SCI-EXP, SSCI i/ili A&HCI
- Scopus