TY - JOUR
T1 - Portable near-infrared and Raman spectroscopic devices as complementary tools for instantaneous quality control of turmeric powder
AU - Cruz, Jordi
AU - Khongkaew, Putthiporn
AU - Bertotto, Judit Puig
AU - Cárdenas, Vanessa
AU - Alcalà, Manel
AU - Nuchtavorn, Nantana
AU - Rojsanga, Piyanuch
AU - Suwanvecho, Chaweewan
AU - Phechkrajang, Chutima
N1 - Publisher Copyright:
© 2023 John Wiley & Sons Ltd.
PY - 2023/7
Y1 - 2023/7
N2 - Introduction: 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.
AB - Introduction: 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.
KW - curcuminoids
KW - portable NIR
KW - portable Raman
KW - turmeric powder
UR - http://www.scopus.com/inward/record.url?scp=85158140164&partnerID=8YFLogxK
U2 - 10.1002/pca.3231
DO - 10.1002/pca.3231
M3 - Article
C2 - 37139918
AN - SCOPUS:85158140164
SN - 0958-0344
VL - 34
SP - 518
EP - 527
JO - Phytochemical Analysis
JF - Phytochemical Analysis
IS - 5
ER -