Establishment and Application of Infant Formula Fingerprints by RP-HPLC

Confirmation of brand identification in infant formulas by using near-infrared spectroscopy fingerprints

In this study, a near infrared (NIR) spectroscopy fingerprinting method coupled with principal component analysis (PCA) was developed for the confirmation of brand identification in infant formulas. The NIR spectroscopy fingerprints of the Brand A infant formula were acquired in 12 000-4000 cm-1 at a sample temperature of 20 °C without pressing the sample. The contents of major nutrients of Stage 1, 2, and 3 infant formulas were compared within Brand A. The NIR spectroscopy fingerprints of Brand A Stage 1 samples were compared with those of four other brand-named Stage 1 samples, whereas the fingerprints of Brand A Stage 2 and 3 were compared with those of two of the four brands, to distinguish the differences between brands. The NIR spectroscopy fingerprinting results showed that the Brand A formula can be completely differentiated from the other brands at each stage. The combination of NIR spectroscopy fingerprinting and PCA is an effective method for the purpose of confirmation of brand identification and brand protection in infant formulas.

Quality assessment of Moringa seed shells based on fingerprinting using HPLC-DAD

A fingerprint analysis method was established for the quality control of Moringa seed shells by high-performance liquid chromatography with diode array detection (HPLC–DAD). The HPLC–DAD separation was performed on a Thermo Hypersil Gold C18 (4.6 mm × 250 mm, 5 μm) column by gradient elution with acetonitrile–water as mobile phase. The fingerprint of Moringa seed shells was established with good precision, reproducibility, and stability obtaining within 60 min, and 13 common peaks in the fingerprint were designed. Similarity analysis, principal component analysis (PCA), and hierarchical clustering analysis (HCA) were carried out to analyze the obtained fingerprints. The similarity among 11 batches of samples in addition to No. 5 and 6 was no less than 0.92. Eleven samples could be classified into 2 clusters. The HPLC fingerprint technology and application of chemical pattern recognition can provide a more comprehensive reference for the quality control of medicinal plants.

Protein-Based Fingerprint Analysis for the Identification of Ranae Oviductus Using RP-HPLC

This work demonstrated a method combining reversed-phase high-performance liquid chromatography (RP-HPLC) with chemometrics analysis to identify the authenticity of Ranae Oviductus. The fingerprint chromatograms of the Ranae Oviductus protein were established through an Agilent Zorbax 300SB-C8 column and diode array detection at 215 nm, using 0.085% TFA (v/v) in acetonitrile (A) and 0.1% TFA in ultrapure water (B) as mobile phase. The similarity was in the range of 0.779-0.980. The fingerprint chromatogram of Ranae Oviductus showed a significant difference with counterfeit products. Hierarchical clustering analysis (HCA) and principal component analysis (PCA) successfully identified Ranae Oviductus from the samples. These results indicated that the method established in this work was reliable.