Related Experiment Video
Updated: Mar 2, 2026

Rapid High-throughput Species Identification of Botanical Material Using Direct Analysis in Real Time High Resolution Mass Spectrometry
Published on: October 2, 2016
Front-face synchronous fluorescence spectroscopy coupled with PLSR for rapid quantitative analysis of Chinese
Fei-Yue Chen1, Li-Fen Zhang2, Hong-Yan Pan1
1Tianjin International Joint Research & Development Center of Food Science and Engineering, Tianjin Key Laboratory of Food Biotechnology, College of Biotechnology and Food Science, Tianjin University of Commerce, Tianjin 300134, China.
Abstract:
Chinese five-spice powder is a cornerstone of Chinese cuisine, yet its commercial formulations frequently deviate from traditional recipes, leading to quality-fraud issues that necessitate rapid, non-destructive control methods. This study pioneers the application of front-face synchronous fluorescence spectroscopy (FFSFS) combined with partial least squares regression (PLSR) for simultaneous quantification of all five constituents: star anise, Sichuan pepper, fennel seed, cinnamon stick, and clove bud. One hundred lab-made calibration samples and twenty external validation samples were prepared across typical formulation ranges. FFSFS spectra (λex = 250-600 nm, Δλ = 30-200 nm) were acquired using front-face geometry to mitigate scattering effects. Variable importance in projection (VIP) scores identified 2188 key variables, with highest scores mapping to flavonoid emissions (λex = 450-600 nm, Δλ = 80-180 nm) and secondary clusters linked to protein tryptophan and phenylpropanoid markers. Principal component analysis (PCA) achieved clear species discrimination based on these fluorophore signatures. The mass fraction (wt%) of all five target constituents was simultaneously quantified by PLS2 which yielded component-specific accuracy: star anise and Sichuan pepper were predicted with high fidelity (R2p = 0.830 and 0.825; RPD = 2.1), while fennel seed, cinnamon, and clove showed moderate predictability due to matrix interference and weak fluorescence. VIP analysis elucidated the chemical origins of these performance differences, linking model robustness to fluorophore abundance and stability. This FFSFS-PLSR framework provides the first rapid, non-targeted fingerprinting method for five-spice powder quantification, offering a powerful quality control tool with clear pathways for enhanced performance.
More Related Videos
08:49Author Spotlight: Unveiling the Potential of VSFG Microscopy in Studying Mesoscopically Heterogeneous Self-Assembled Structures
Published on: December 1, 2023
08:43PTR-ToF-MS Coupled with an Automated Sampling System and Tailored Data Analysis for Food Studies: Bioprocess Monitoring, Screening and Nose-space Analysis
Published on: May 11, 2017