Analysis and evaluation of nucleosides, nucleobases, and amino acids in safflower from different regions based on ultra high performance liquid chromatography coupled with triple‐quadrupole linear ion‐trap tandem mass spectrometry

Neural network in food analytics

Neural network (i.e. deep learning, NN)-based data analysis techniques have been listed as a pivotal opportunity to protect the integrity and safety of the global food supply chain and forecast $11.2 billion in agriculture markets. As a general-purpose data analytic tool, NN has been applied in several areas of food science, such as food recognition, food supply chain security and omics analysis, and so on. Therefore, given the rapid emergence of NN applications in food safety, this review aims to provide a comprehensive overview of the NN application in food analysis for the first time, focusing on domain-specific applications in food analysis by introducing fundamental methodology, reviewing recent and notable progress, and discussing challenges and potential pitfalls. NN demonstrated that it has a bright future through effective collaboration between food specialist and the broader community in the food field, for example, superiority in food recognition, sensory evaluation, pattern recognition of spectroscopy and chromatography. However, major challenges impeded NN extension including void in the food scientist-friendly interface software package, incomprehensible model behavior, multi-source heterogeneous data, and so on. The breakthrough from other fields proved NN has the potential to offer a revolution in the immediate future.

Quantitative analysis of nutrients for nucleosides, nucleobases and amino acids hidden behind five distinct regions-derived Poria cocos using ultra-performance liquid chromatography coupled with triple-quadrupole linear ion-trap tandem mass spectrometry

Poria cocos is an edible fungus used as a health product and traditional Chinese medicinal preparation. Nevertheless, little is known about its nutrients. In this study, ultra-high performance liquid chromatography coupled with triple-quadrupole linear ion-trap tandem mass spectrometry was conducted to quantify nucleosides, nucleobases, and amino acids in 32 batches of Poria cocos samples collected from Anhui, Sichuan, Hubei, Hunan and Guizhou. Subsequently, the linearity, precision, repeatability, stability, and recovery of our methods were validated. Samples from different regions were clearly separated by partial least squares discriminant analysis and cluster analysis. Our results suggested that Poria cocos samples from different geographical environments differed in nucleosides, nucleobases, and amino acids. The plot of variable importance for projection disclosed differential compositions of L-Leucine, Uridine, L-Asparagine, L-Glutamine, L-phenylalanine, L-Ornithine monohydrochloride, L-Hydroxyproline, Taurine and Inosine in Poria cocos from five regions. We found the highest content of total analytes, total amino acids and total non-essential amino acids in Poria cocos from Anhui, total essential amino acids in the Sichuan samples and total nucleosides in Hunan samples. Overall, we determined the content of Poria cocos-derived nucleosides, nucleobases, and amino acids, providing the foothold for further chemical mining and use of Poria cocos. This article is protected by copyright. All rights reserved.

An Evaluation of Traits, Nutritional, and Medicinal Component Quality of Polygonatum cyrtonema Hua and P. sibiricum Red

Polygonati rhizoma (Huangjing in Chinese) is a traditional and classic dual-purpose material used in food and medicine. Herbalists in China and Japan have noticed several different rhizome types in Huangjing with different qualities. Rhizome of Polygonatum cyrtonema Hua and P. sibiricum Red. is divided into five types: "Jitou-type" Polygonati rhizoma (JTPR), atypical "Jitou-type" Polygonati rhizoma (AJTPR), "Jiang-type" Polygonati rhizoma (JPR), "Cylinder-type" Polygonati rhizoma (CPR), and "Baiji-type" Polygonati rhizoma (BJPR). This study observed the microstructure and histochemical localization of polysaccharides, saponins, and proteins in Huangjing. Nutritional and medicinal component data and antioxidant capacity (DPPH and ABTS) were analyzed to evaluate the quality of different types of Huangjing. The results showed that the comprehensive quality of the rhizomes, BJPR and JTPR, was better, regardless of their nutritional or medicinal values. Altogether, these results could recommend future breeding efforts to produce Huangjing with improved nutritional and medicinal qualities.

Evaluation of multiple hydrophilic interaction chromatography columns and surrogate matrix for arginine quantification in saliva by high-resolution mass spectrometry

Arginine, a pivotal ingredient in many biochemical synthetic pathways, can be used as a biomarker for many oral care clinical applications. It is still a challenge to develop a sensitive and reliable chromatographic method to quantify arginine as a biomarker in saliva, with or without arginine product pretreatment. The current method solved two critical issues for arginine quantitation in human saliva. The first issue was how to optimize arginine peak shape. A hydrophilic interaction chromatography method based on the column selection, pH and pK_a relationship, mobile phase ionic strength, organic solvent consideration, and temperature effects was developed. An optimized chromatographic condition for arginine quantitation in the saliva matrix was obtained. The second issue was how to build confidence in the use of a simple surrogate matrix methodology to replace the more complex traditional standard addition methodology. The surrogate matrix methodology we developed is applicable to the measurement of arginine as a potential non-invasive biomarker in human saliva. The method detection and quantification limit reached 2 and 6 ng/mL. The tailing factor was within the 0.9-1.1 range even though arginine had three pK_a values at 2.18, 9.09, and 13.2.

Qualitative and quantitative analysis of chemical components in Eupatorium lindleyanum DC. by ultra-performance liquid chromatography-mass spectrometry integrated with anti-inflammatory activity research

As a traditional Chinese medicine, Eupatorium lindleyanum DC. has an effect on resolving phlegm, relieving cough, and relieving asthma. In this study, an ultra high performance liquid chromatography with quadrupole time-of-flight mass spectrometry method was established for qualitative analysis of Eupatorium lindleyanum. Besides, we developed an ultra high performance liquid chromatography with triple quadrupole tandem mass spectrometry method in positive and negative multiple reaction monitor modes for the quantitative analysis of 27 chemical constituents from 19 different batches of Eupatorium lindleyanum. The methodology validated linearity, intraday and interday precision, stability, repeatability, and recovery. The results showed that there were some differences in different batches of Eupatorium lindleyanum, which might be attributed to the influence of different growth environments and climatic conditions on the accumulation of compounds. The variable importance of projection value of orthogonal partial least square discriminant analysis and anti-inflammatory activity test showed that eupalinolide A, B, C, and K have high content and strong activity, which could provide a reference for the follow-up study of the quality markers of Eupatorium lindleyanum. Collectively, we developed a rapid and efficient method for the qualitative analysis and simultaneous quantification of Eupatorium lindleyanum, which was beneficial for the comprehensive utilization and development of resources.

Chemical profiling of Honghua Xiaoyao tablet and simultaneous determination of its quality markers by liquid chromatography-tandem mass spectrometry combined with chemometrics methods

Discovering marker components of traditional Chinese medicine formulas is challenging because of the hundreds of components they inherently contain. This study first proposed a reliable and validated method for the comprehensive profiling of chemical constituents in Honghua Xiaoyao tablet by using high-performance liquid chromatography coupled with mass spectrometry. After searching within the in-house library, a total of 55 constituents were unambiguously characterized or tentatively identified through reference standards and by comparing mass spectrometry data with literature values. Quantitative analysis of 14 compounds, which were selected as the quality marker components based on a serum pharmacochemistry study, has been performed by triple-quardrupole mass spectrometry technique. Multiple chemometric methods, including principal components analysis and hierarchical cluster analysis, were subsequently used to analyze the quantitative results, classify samples from three manufacturers, and distinguish the analytical markers. In method validation results, 14 quality marker compounds have shown good linearity (R² ≥ 0.9965) with a relative wide concentration range and acceptable recovery at 98.39-102.46%. The proposed approach provides the chemical evidence for revealing the material basis of Honghua Xiaoyao tablet, and establishes a reliable statistical analysis-based strategy of quality marker investigation for controlling its quality.