The rapid and accurate authentication of traditional Chinese medicines (TCMs) has always been a key scientific and technical problem in the field of pharmaceutical analysis. Herein, a novel heating online extraction electrospray ionization mass spectrometry (H-oEESI-MS) was developed for the rapid and direct analysis of extremely complex substances without the requirement for any sample pretreatment or pre-separation steps. The overall molecular profile and fragment structure features of various herbal medicines could be completely captured within 10-15 s, with minimal sample (<0.5 mg) and solvent consumption (<20 μL for one sample). Furthermore, a rapid differentiation and authentication strategy for TCMs based on H-oEESI-MS was proposed, including metabolic profile characterization, characteristic marker screening and identification, and multivariate statistical analysis model validation. In an analysis of 52 batches of seven types of medicinal materials, 20 and 21 key compounds were screened out as the characteristic markers of raw and processed herbal medicines, respectively, and the possible structures of all the characteristic markers were comprehensively identified based on Compound Discoverer databases. Finally, multivariate statistical analysis showed that all the different types of herbal medicines were well differentiated and identified (RX > 0.87, RY > 0.91, and Q > 0.72), which further verified the feasibility and reliability of this comprehensive strategy for the rapid authentication of different TCMs based on H-oEESI-MS. In summary, this rapid authentication strategy realized the ultra-high-throughput, low-cost, and standardized detection of various complex TCMs for the first time, thereby demonstrating wide applicability and value for the development of quality standards for TCMs.
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http://dx.doi.org/10.1016/j.jpha.2023.01.002 | DOI Listing |
Oral Oncol
January 2025
Clinical Research Center (CRC), Medical Pathology Center (MPC), Cancer Early Detection and Treatment Center (CEDTC) and Translational Medicine Research Center (TMRC), Chongqing University Three Gorges Hospital, Chongqing University, Wanzhou District, Chongqing 404100, China; Chongqing Technical Innovation Center for Quality Evaluation and Identification of Authentic Medicinal Herbs, Wanzhou District, Chongqing 404100, China; School of Medicine Chongqing University, Chongqing University, Shapingba District, Chongqing 400030, China. Electronic address:
NUT carcinoma is a rare and highly aggressive malignancy, predominantly affecting adolescents and young adults. This tumor demonstrates rapid progression, resistance to conventional anti-cancer treatments, and an extremely poor prognosis. Currently, research on NUT carcinoma is limited, and effective treatment options remain scarce.
View Article and Find Full Text PDFFood Chem X
December 2024
School of Pharmacy, Naval Medical University, Shanghai 200433, China.
With the rising demand of saffron, it is essential to standardize the confirmation of its origin and identify any adulteration to maintain a good quality led market product. However, a rapid and reliable strategy for identifying the adulteration saffron is still lacks. Herein, a combination of headspace-gas chromatography-ion mobility spectrometry (HS-GC-IMS) and convolutional neural network (CNN) was developed.
View Article and Find Full Text PDFFood Res Int
February 2025
Izmir Institute of Technology, Department of Food Engineering, Urla-Izmir, Turkiye. Electronic address:
The detection of adulteration in apple juice concentrate is critical for ensuring product authenticity and consumer safety. This study evaluates the effectiveness of artificial neural networks (ANN) and support vector machines (SVM) in analyzing spectroscopic data to detect adulteration in apple juice concentrate. Four techniques-UV-visible, fluorescence, near-infrared (NIR) spectroscopy, and time domain H nuclear magnetic resonance relaxometry (H NMR)-were used to generate data from both authentic and adulterated apple juice samples.
View Article and Find Full Text PDFFood Res Int
February 2025
New Hazardous Substances Division, National Institute of Food and Drug Safety Evaluation, Ministry of Food and Drug Safety, Osong, Cheongju, Chungcheongbuk-do 28159, Republic of Korea. Electronic address:
Authentication of gelatin sources are required for cultural beliefs and food integrity. This paper describes a sensitive and rapid detection of gelatin sources using liquid chromatography-tandem mass spectrometry (LC-MS/MS) method. The specific peptide markers were adopted to accurately identify bovine and porcine gelatin in pharmaceutical capsules and jellies.
View Article and Find Full Text PDFAnal Bioanal Chem
January 2025
Department of Pathology, Immunology and Laboratory Medicine, University of Florida College of Medicine, Gainesville, FL, USA.
An increasing number of cannabis-related products have become available and entered the market, particularly those containing cannabidiol (CBD) and Δ-tetrahydrocannabinol (Δ-THC). Analytical methods for cannabinoids in urine have been described extensively in the literature. However, methods providing good resolution for distinguishing interferences from THC positional isomers are needed.
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