Portable near-infrared and Raman spectroscopic devices as complementary tools for instantaneous quality control of turmeric powder

dc.contributor.authorCruz J.
dc.contributor.authorKhongkaew P.
dc.contributor.authorBertotto J.P.
dc.contributor.authorCárdenas V.
dc.contributor.authorAlcalà M.
dc.contributor.authorNuchtavorn N.
dc.contributor.authorRojsanga P.
dc.contributor.authorSuwanvecho C.
dc.contributor.authorPhechkrajang C.
dc.contributor.otherMahidol University
dc.date.accessioned2023-05-19T07:19:50Z
dc.date.available2023-05-19T07:19:50Z
dc.date.issued2023-01-01
dc.description.abstractIntroduction: Process analytical technology (PAT) guidance is implemented in the quality assurance of phytocompounds to achieve the Industry 4.0 concept. Near-infrared (NIR) and Raman spectroscopies are feasible for rapid, reliable quantitative analysis through transparent packaging without removing the samples from their original containers. These instruments can serve PAT guidance. Objective: This study aimed to develop online portable NIR and Raman spectroscopic methods for quantifying total curcuminoids in turmeric samples through a plastic bag. The method mimicked an in-line measurement mode in PAT compared with placing samples into a glass vessel (at-line mode). Materials and methods: Sixty-three curcuminoid standard-spiked samples were prepared. Then, 15 samples were randomly selected as fixed validation samples, and 40 of the 48 remaining samples were chosen as calibration set. The results obtained from the partial least square regression (PLSR) models constructed by using the spectra acquired from NIR and Raman were compared with the reference values from high-performance liquid chromatography (HPLC). Results: The optimum PLSR model of at-line Raman was achieved with three latent variables and a root mean square error of prediction (RMSEP) of 0.46. Meanwhile, the PLSR model of at-line NIR with one latent variable offered an RMSEP of 0.43. For the in-line mode, PLSR models created from Raman and NIR spectra had one latent variable with RMSEP of 0.49 and 0.42, respectively. The R2 values for prediction were 0.88–0.92. Conclusion: The models established from the spectra from portable NIR and Raman spectroscopic devices with the appropriate spectral pretreatments allowed the determination of total curcuminoid contents through plastic bag.
dc.identifier.citationPhytochemical Analysis (2023)
dc.identifier.doi10.1002/pca.3231
dc.identifier.eissn10991565
dc.identifier.issn09580344
dc.identifier.scopus2-s2.0-85158140164
dc.identifier.urihttps://repository.li.mahidol.ac.th/handle/20.500.14594/81512
dc.rights.holderSCOPUS
dc.subjectAgricultural and Biological Sciences
dc.titlePortable near-infrared and Raman spectroscopic devices as complementary tools for instantaneous quality control of turmeric powder
dc.typeArticle
mu.datasource.scopushttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85158140164&origin=inward
oaire.citation.titlePhytochemical Analysis
oairecerif.author.affiliationEscola Universitària Salesiana de Sarrià
oairecerif.author.affiliationUniversitat Autònoma de Barcelona
oairecerif.author.affiliationMahidol University
oairecerif.author.affiliationBurapha University
oairecerif.author.affiliationNational Metrology Institute of Colombia

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