The use of infrared spectroscopy in combination with chemometrics for quality control and authentication of edible fats and oils: A review

Edible fats and oils provide a significant contribution in our diet and daily life, as cooking or frying oil, or as components used in food, pharmaceutical, and cosmetics products. Fats and oils are characterized by specific values, including acid value, saponification value, iodine value, and peroxide value, as well as the oxidation products which occur during storage due to oxidative and hydrolytic deterioration. Currently, due to the high price of edible fats and oils, some unethical producers adulterate high-value edible oils like olive oil with low-priced oils like palm and corn oils; therefore the authentication analysis of edible fats and oils must be assured by introducing reliable and fast methods like infrared spectroscopy. Fourier transform infrared (FTIR) spectroscopy is an ideal technique for monitoring the quality control of fats and oils due to its property as a “fingerprint spectra technique,” which allows analysts to differentiate among fats and oils. FTIR spectra signals of fats and oils are very complex. Fortunately, a statistical technique called chemometrics can be used to handle the complex FTIR spectral data. Chemometrics in combination with FTIR spectroscopy has been widely used in many aspects of monitoring quality control of edible fats and oils including their authenticity.     

快扫循环伏安曲线的单纯形优化-数值模拟拟合方法

采用Gl算法改进了快扫伏安曲线的数值模拟,提高了模拟计算的速度.使用单纯形优化-数值模拟方法,以电流、峰电位误差的加权值作为拟合参数的评价函数,对二茂铁在0,3mm直径铂盘电极上,不同扫速下的循环伏安图进行了拟合.在拟合过程中自动进行伏安图基线的校正,同时拟合出标准非均相速度常数k~0,未补偿溶液电阻R_u以及双电层电容C_(dl)等重要的参数值,所得k~0值与文献报道结果一致.     

定量构效关系在化学计量学发展中的作用

介绍定量构效关系及其常用研究方法.叙述了化学计量学在我国近年来的发展,以及定量构效关系作为一门新兴的研究手段对现代化学尤其是化学计量学的发展所起的推动作用.     

世界采样大会的由来与Pierre Gy采样理论的发展

简单介绍了世界采样大会的由来与Pierre Gy采样理论的产生与发展。重点阐述了Pierre Gy公式和采样理论的涵义与应用,以及化学计量学对采样理论发展的推动和促进作用。同时,采样理论的发展也推动了过程分析技术的应用以及各类先进采样、制样和混样设备的研制和应用。中国作为全球最大的大宗商品进口国和消费国,对采样理论和实践应用有着迫切的需求,将第九届世界采样与混样大会引入中国,必将促进和提升我国采样理论的研究和实践水平,使其更好地为我国大宗商品交易和检验检测市场服务。     

Green Multi-Platform Solution for the Quantification of Levodopa Enantiomeric Excess in Solid-State Mixtures for Pharmacological Formulations

The aim of the present work was to develop a green multi-platform methodology for the quantification of l-DOPA in solid-state mixtures by means of MIR and NIR spectroscopy. In order to achieve this goal, 33 mixtures of racemic and pure l-DOPA were prepared and analyzed. Once spectra were collected, partial least squares (PLS) was exploited to individually model the two different data blocks. Additionally, three different multi-block approaches (mid-level data fusion, sequential and orthogonalized partial least squares, and sequential and orthogonalized covariance selection) were used in order to simultaneously handle data from the different platforms. The outcome of the chemometric analysis highlighted the quantification of the enantiomeric excess of l-DOPA in enantiomeric mixtures in the solid state, which was possible by coupling NIR and PLS, and, to a lesser extent, by using MIR. The multi-platform approach provided a higher accuracy than the individual block analysis, indicating that the association of MIR and NIR spectral data, especially by means of SO-PLS, represents a valid solution for the quantification of the l-DOPA excess in enantiomeric mixtures.     

Recent applications of chemometrics in one‐ and two‐dimensional chromatography

The proliferation of increasingly more sophisticated analytical separation systems, often incorporating increasingly more powerful detection techniques, such as high‐resolution mass spectrometry, causes an urgent need for highly efficient data‐analysis and optimization strategies. This is especially true for comprehensive two‐dimensional chromatography applied to the separation of very complex samples. In this contribution, the requirement for chemometric tools is explained and the latest developments in approaches for (pre‐)processing and analyzing data arising from one‐ and two‐dimensional chromatography systems are reviewed. The final part of this review focuses on the application of chemometrics for method development and optimization.     

Quantitative fingerprint and antioxidative properties of Artemisia argyi leaves combined with chemometrics

Quantitative fingerprint and differences of Artemisia argyi from different varieties, picking time, aging year, and origins were analyzed combing with chemometrics. The antioxidant activity was determined and antioxidant markers of Artemisia argyi were screened. Variety WA3 was significantly different from that of the other varieties. Fingerprint peak response and antioxidant activity of A. argyi picked in December were lower than samples collected in May and August. Fresh A. argyi leaves were significantly superior to withered leaves and stems. Artemisia argyi aging 1–5 years presented a classification trend. Antioxidant activity of A. argyi produced in Nanyang was generally superior to others origins. Peak 9, isochlorogenic acid A, and 6-methoxyluteolin contributed greatly for classification of A. argyi from different variety, picking time, aging year, and origin. Isochlorogenic acid A, isochlorogenic acid C, 6-methoxyluteolin, and chlorogenic acid were selected as antioxidant marker of A. argyi. The method based on quantitative fingerprint, antioxidant activity evaluation, and chemometrics was reliable to analyze the differences of A. argyi samples from different sources.     

Authenticity study of commercial samples of St. John's wort by paper spray ionization mass spectrometry and chemometric tools

Hypericum perforatum L. (St. John's wort) is one of the world's most consumed medicinal plants for treating depression and psychiatric disorders. Counterfeiting can occur in the medicinal plant trade, either due to the lack of active ingredients or the addition of substances not mentioned on the labels, often without therapeutic value or even harmful to health. Hence, 43 samples of St. John's wort commercially acquired in different Brazilian regions and other countries were analyzed by paper spray ionization mass spectrometry (PS-MS) and modeled by principal component analysis. Hence, samples (plants, capsules, and tablets) were extracted with ethanol in a solid–liquid extraction. For the first time, PS-MS analysis allowed the detection of counterfeit H. perforatum samples containing active principles typical of other plants, such as Ageratum conyzoides and Senna spectabilis. About 52.3% of the samples were considered adulterated for having at least one of these two species in their composition. Furthermore, out of 35 samples produced in Brazil, only 13 were deemed authentic, having only H. perforatum. Therefore, there is a clear need to improve these drugs' quality control in Brazil.     

CCD近红外光谱快速测定喷气燃料的冰点

从化学计量学角度研究了近红外光谱技术测定航空燃料冰点的原理．使用偏最小二乘法分别建立了短波近红外和长波近红外的航空燃料冰点快速测定模型．将近红外法冰点测定结果和标准方法（ＧＢ ２４３０—８１）测定结果进行了比较，两种结果吻合得很好（标准偏差为１．４７℃。），近红外光谱法具有分析精度高（标准偏差为０．５３℃），快速（单个样品分析时间为 ｌｍｉｎ）和操作方便的优点．实际分析结果表明，石油化工科学研究院研制的ＣＣＤ短波近红外光谱仪分析性能达到进口傅立叶近红外光谱仪水平。     

The Application of NMR Spectroscopy and Chemometrics in Authentication of Spices

Spices and herbs are among the most commonly adulterated food types. This is because spices are widely used to process food. Spices not only enhance the flavor and taste of food, but they are also sources of numerous bioactive compounds that are significantly beneficial for health. The healing effects of spices are connected with their antimicrobial, anti-inflammatory and carminative properties. However, regular consumption of adulterated spices may cause fatal damage to our system because adulterants in most cases are unhealthy. For that reason, the appropriate analytical methods are necessary for quality assurance and to ensure the authenticity of spices. Spectroscopic methods are gaining interest as they are fast, require little or no sample preparation, and provide rich structural information. This review provides an overview of the application of NMR spectroscopy combined with chemometric analysis to determine the quality and adulteration of spices.