Determination of Albumin, Glucose, and Creatinine Employing a Single Sequential Injection Lab-at-Valve with Mono-Segmented Flow System Enabling In-Line Dilution, In-Line Single-Standard Calibration, and In-Line Standard Addition.

A mono-segmented sequential injection lab-at-valve (SI-LAV) system for the determination of albumin, glucose, and creatinine, three key biomarkers in diabetes screening and diagnosis, was developed as a single system for multi-analyte analysis. The mono-segmentation technique was employed for in-line dilution, in-line single-standard calibration, and in-line standard addition. This made adjustments to the sample preparation step easy unlike the batch-wise method. The results showed that the system could be used for both fast reaction (albumin) and slow reaction (glucose with enzymatic reaction and creatinine). In the case of slow reaction, the analysis time could be shortened by using the reaction rate obtained with the SI-LAV system. This proposed system is for cost-effective and downscaling analysis, which would be applicable for small hospitals and clinics in remote places with a small number of samples but relatively fast screening would be needed.

Employing a switching valve to automate external standard calibration in inductively coupled plasma optical emission spectrometry.

The traditional external standard calibration method (EC) is automated and simplified using a four-port switching valve (SV4) and a multi-signal approach that enables the generation of several calibration points from a single calibration solution. The SV4-EC method is applied to inductively coupled plasma optical emission spectrometry (ICP-OES) and is based on gradient dilution taking place within the instrument's sample introduction tubing. Both the calibration solution and the samples are diluted by a blank solution containing an internal standard species. Forty-five dilution points are collected over time while the solutions are mixed. Instrument responses from the calibration solution are then plotted against those from the samples, and the slope of the calibration curve is used to determine the unknown analyte concentrations in the samples. The method is used to determine Ba, Co, Cr, Cu, Fe, Mn, Ni, V and Zn in coconut water, creek water, green tea, mouthwash, soft drink, vinegar, and vodka. Limits of detection are in the 0.0002-0.009 mg L-1 (n = 10) range, with precision on the order of 0.4 %-3 % RSD. Analyte percent recoveries from a 0.5 mg L-1 spike are in the ranges of 88.4 %-111 %, 88.9 %-111 %, and 88.0 %-111 % for EC, SV4-EC, and the internal-standard-corrected method (SV4-EC/Sc), respectively. No statistically significant difference is observed between EC and SV4-EC recoveries for any of the sample matrices evaluated. Comparable results between EC and SV4-EC were also found for the analysis of two certified reference materials, Bovine Liver and Oyster Tissue. Based on a single calibration solution, the SV4-EC method requires caution when preparing the calibration standard to minimize measurement bias.

Next generation of flow analysis is based on flow programming.

Concepts of air Segmented Flow Analysis (SFA) and Flow Injection Analysis (FIA) are discussed and compared with the performance of a new method based on comprehensive flow programming. The programmable Flow Injection (pFI), miniaturized on the lab-on-valve platform, can perform tasks that can not be done in any other way, such as Auto calibration by a single standard solution or analysis in a flow-batch mode that exactly simulates the traditional manual batch technique. Performance of pFI is documented by examples of nutrient determinations in sea water.

Progress and prediction of multicomponent quantification in complex systems with practical LC-UV methods.

Complex systems exist widely, including medicines from natural products, functional foods, and biological samples. The biological activity of complex systems is often the result of the synergistic effect of multiple components. In the quality evaluation of complex samples, multicomponent quantitative analysis (MCQA) is usually needed. To overcome the difficulty in obtaining standard products, scholars have proposed achieving MCQA through the "single standard to determine multiple components (SSDMC)" approach. This method has been used in the determination of multicomponent content in natural source drugs and the analysis of impurities in chemical drugs and has been included in the Chinese Pharmacopoeia. Depending on a convenient (ultra) high-performance liquid chromatography method, how can the repeatability and robustness of the MCQA method be improved? How can the chromatography conditions be optimized to improve the number of quantitative components? How can computer software technology be introduced to improve the efficiency of multicomponent analysis (MCA)? These are the key problems that remain to be solved in practical MCQA. First, this review article summarizes the calculation methods of relative correction factors in the SSDMC approach in the past five years, as well as the method robustness and accuracy evaluation. Second, it also summarizes methods to improve peak capacity and quantitative accuracy in MCA, including column selection and two-dimensional chromatographic analysis technology. Finally, computer software technologies for predicting chromatographic conditions and analytical parameters are introduced, which provides an idea for intelligent method development in MCA. This paper aims to provide methodological ideas for the improvement of complex system analysis, especially MCQA.

Diagnosis of Alzheimer's Disease Based on Deeply-Fused Nets.

AIM AND OBJECTIVE: Fast and accurate diagnosis of Alzheimer's disease is very important for the care and further treatment of patients. Along with the development of deep learning, impressive progress has also been made in the automatic diagnosis of AD. Most existing studies on automatic diagnosis are concerned with a single base network, whose accuracy for disease diagnosis still needs to be improved. This study was undertaken to propose a method to improve the accuracy of the automatic diagnosis of AD. MATERIALS AND METHODS: MRI image data from the Alzheimer's Disease Neuroimaging Initiative were used to train a deep learning model to achieve a computer-aided diagnosis of Alzheimer's disease. The data consisted of 138 with AD, 280 with mild cognitive impairment, and 138 normal controls. Here, a new deeply-fused net is proposed, which combines several deep convolutional neural networks, thereby avoiding the error of a single base network and increasing the classification accuracy and generalization capacity. RESULTS: Experiments show that when differentiating between patients with AD, mild cognitive impairment, and normal controls on a subset of the ADNI database without data leakage, the new architecture improves the accuracy by about 4 percentage points as compared to a single standard based network. CONCLUSION: This new approach exhibits better performance, but there is still much to be done before its clinical application. In the future, greater research effort will be devoted to improving the performance of the deeply-fused net.

Characterization and determination of free phytosterols and phytosterol conjugates: The potential phytochemicals to classify different rice bran oil and rice bran.

Phytosterols are important beneficial compounds found in rice bran (RB) and rice bran oil (RBO). Although relationships have been confirmed between the forms of phytosterols and their bioactivities, the analysis of different forms of phytosterols in RB and RBO has been lacking. In this study, high temperature gas chromatography-mass spectrometry (HTGC-MS) was combined with the single standard to determine multi-components (SSDMC) method to determine free sterols (FSs) and steryl glycosides (SGs) in RB and RBO. High-performance liquid chromatography (HPLC) was used to determine steryl ferulates (SFs). There was clear variation in the composition of FS, SF and SG, indicating that different forms of phytosterols can discriminate between different RB and RBO. The developed method may be also useful for the detection of other compounds of interest in oils, oil seeds or cereals.

Construction of an optimized method for quality evaluation and species discrimination of Coptidis Rhizoma by ion-pair high performance liquid chromatography combined with response surface methodology.

Coptidis Rhizoma (CR), the dried rhizome of three perennial Coptis specices, was widely used as a famous herbal medicine in China. Although the quantification of main alkaloids in CR has been extensively conducted, the existing analytical methods suffer from some flaws that restrict the general applicability in the routine quality assessment. In this work, we constructed an optimized method for quality evaluation and species discrimination of CR by ion-pairing high performance liquid chromatography (IP-HPLC) combined with response surface methodology (RSM). By employing Box-Behnken designs (BBD), 30 sets of experimental runs were performed to build the response surface models, and Derringer's desirability was used to optimize the IP-HPLC separation conditions by simultaneously taking resolutions between two pairs of hardly - separated alkaloids and the retention time of the last eluted analyte as optimization criteria. Meanwhile, a single standard to determine multi-components (SSDMC) method based on the optimized IP-HPLC was set up and fully validated, to simultaneously determine six alkaloids including jatrorrhizine (JAT), columbamine (COL), epiberberine (EPI), coptisine (COP), palmatine (PAL) and berberine (BER), using BER as internal standard. Finally, the quantitative data from 33 batches of CR samples were comparatively analyzed, and the ratios of JAT/COL and EPI/JAT were discovered for species classification. Collectively, the established IP-HPLC method can be adopted for comprehensive quality evaluation and species discrimination of CR due to its general applicability.

Simultaneous Determination of Multiple Ginsenosides in Panax ginseng Herbal Medicines with One Single Reference Standard.

BACKGROUND: Root of Panax ginseng C. A. Mey (Renseng in Chinese) is a famous Traditional Chinese Medicine. Ginsenosides are the major bioactive components. However, the shortage and high cost of some ginsenoside reference standards make it is difficult for quality control of P. ginseng. OBJECTIVE: A method, single standard for determination of multicomponents (SSDMC), was developed for the simultaneous determination of nine ginsenosides in P. ginseng (ginsenoside Rg1, Re, Rf, Rg2, Rb1, Rc, Rb2, Rb3, Rd). MATERIALS AND METHODS: The analytes were separated on Inertsil ODS-3 C18 (250 mm × 4.6 mm, 5 µm) with gradient elution of acetonitrile and water. The flow rate was 1 mL/min and detection wavelength was set at 203 nm. The feasibility and accuracy of SSDMC were checked by the external standard method, and various high-performance liquid chromatographic (HPLC) instruments and chromatographic conditions were investigated to verify its applicability. Using ginsenoside Rg1 as the internal reference substance, the contents of other eight ginsenosides were calculated according to conversion factors (F) by HPLC. RESULTS: The method was validated with linearity (r2 ≥ 0.9990), precision (relative standard deviation [RSD] ≤2.9%), accuracy (97.5%-100.8%, RSD ≤ 1.6%), repeatability, and stability. There was no significant difference between the SSDMC method and the external standard method. CONCLUSION: New SSDMC method could be considered as an ideal mean to analyze the components for which reference standards are not readily available. SUMMARY: A method, single standard for determination of multicomponents (SSDMC), was established by high-performance liquid chromatography for the simultaneous determination of nine ginsenosides in Panax ginseng (ginsenoside Rg1, Re, Rf, Rg2, Rb1, Rc, Rb2, Rb3, Rd)Various chromatographic conditions were investigated to verify applicability of FsThe feasibility and accuracy of SSDMC were checked by the external standard method. Abbreviations used: DRT: Different value of retention time; F: Conversion factor; HPLC: High-performance Liquid Chromatography; LOD: Limit of detection; LOQ: Limit of quantitation; PD: Percent difference; PPD: 20(S)-protopanaxadiol; PPT: 20(S)-protopanaxatriol; RSD: Relative standard deviation; SSDMC: Single Standard for Determination of Multicomponents; TCM: Traditional Chinese Medicine.

A feasible, economical, and accurate analytical method for simultaneous determination of six alkaloid markers in Aconiti Lateralis Radix Praeparata from different manufacturing sources and processing ways.

Aconiti Lateralis Radix Praeparata (Fuzi) is a commonly used traditional Chinese medicine in clinic for its potency in restoring yang and rescuing from collapse. Aconiti alkaloids, mainly including monoester-diterpenoidaconitines (MDAs) and diester-diterpenoidaconitines (DDAs), are considered to act as both bioactive and toxic constituents. In the present study, a feasible, economical, and accurate HPLC method for simultaneous determination of six alkaloid markers using the Single Standard for Determination of Multi-Components (SSDMC) method was developed and fully validated. Benzoylmesaconine was used as the unique reference standard. This method was proven as accurate (recovery varying between 97.5%-101.8%, RSD < 3%), precise (RSD 0.63%-2.05%), and linear (R > 0.999 9) over the concentration ranges, and subsequently applied to quantitative evaluation of 62 batches of samples, among which 45 batches were from good manufacturing practice (GMP) facilities and 17 batches from the drug market. The contents were then analyzed by principal component analysis (PCA) and homogeneity test. The present study provided valuable information for improving the quality standard of Aconiti Lateralis Radix Praeparata. The developed method also has the potential in analysis of other Aconitum species, such as Aconitum carmichaelii (prepared parent root) and Aconitum kusnezoffii (prepared root).

One single standard substance for the simultaneous determination of 17 triterpenes in Ganoderma lingzhi and its related species using high-performance liquid chromatography.

Due to the difficulty and high cost for the preparation of triterpenes, one single standard for the simultaneous determination of multi-components (SSDMC) with high performance liquid chromatography (HPLC) is an advanced solution for multi-component analysis. Experiments were carried out to investigate the feasibility of SSDMC for the analysis of Ganoderma triterpenes, with external standard method (ESM) compared, and the samples of Ganoderma were classified by the content of Ganoderma triterpenes. The analysis was performed by using a Fortis Speed Core-C18 column (150mm×4.6mm I.D., 2.6µm) at gradient elution of 0.01% glacial acetic acid-water (V/V) and acetonitrile with diode array detection (252nm), at a flow rate of 1mL/min. The results showed that all calibration curves had good linearity (r2>0.9999) within test ranges. The LOD and LOQ were lower than 2.52ng and 6.43ng, respectively. The RSD for intra-day and inter-day of the seventeen analytes were less than 3.12% at three levels, and the recoveries were 91.4-103.0%. The contents of other 16 triterpenes were determined with ganoderic acid A by SSDMC, which showed that there were few differences compared with the results obtained by ESM. Moreover, the classification of 25 different species and strains of Ganoderma by using the content of triterpenes intuitively reflected the distinction among Ganoderma. In summary, the developed method could be readily utilized as a method of quality evaluation for Ganoderma triterpenes.

Comparison of five Lonicera flowers by simultaneous determination of multi-components with single reference standard method and principal component analysis.

The flowers of Lonicera japonica Thunb. were extensively used to treat many diseases. As the demands for L. japonica increased, some related Lonicera plants were often confused or misused. Caffeoylquinic acids were always regarded as chemical markers in the quality control of L. japonica, but they could be found in all Lonicera species. Thus, a simple and reliable method for the evaluation of different Lonicera flowers is necessary to be established. In this work a method based on single standard to determine multi-components (SSDMC) combined with principal component analysis (PCA) for control and distinguish of Lonicera species flowers have been developed. Six components including three caffeoylquinic acids and three iridoid glycosides were assayed simultaneously using chlorogenic acid as the reference standard. The credibility and feasibility of the SSDMC method were carefully validated and the results demonstrated that there were no remarkable differences compared with external standard method. Finally, a total of fifty-one batches covering five Lonicera species were analyzed and PCA was successfully applied to distinguish the Lonicera species. This strategy simplifies the processes in the quality control of multiple-componential herbal medicine which effectively adapted for improving the quality control of those herbs belonging to closely related species.

From continuous flow analysis to programmable Flow Injection techniques. A history and tutorial of emerging methodologies.

Automation of reagent based assays, also known as Flow Analysis, is based on sample processing, in which a sample flows towards and through a detector for monitoring of its components. The Achilles heel of this methodology is that the majority of FA techniques use constant continuous forward flow to transport the sample - an approach which continually consumes reagents and generates chemical waste. Therefore the purpose of this report is to highlight recent developments of flow programming that not only save reagents, but also lead by means of advanced sample processing to selective and sensitive assays based on stop flow measurement. Flow programming combined with a novel approach to data harvesting yields a novel approach to single standard calibration, and avoids interference caused by refractive index. Finally, flow programming is useful for sample preparation, such as rapid, extensive sample dilution. The principles are illustrated by selected references to an available online tutorial http://www.flowinjectiontutorial,com/.

Specific targeted quantification combined with non-targeted metabolite profiling for quality evaluation of Gastrodia elata tubers from different geographical origins and cultivars.

Gastrodia elata tuber (GET) has been widely used as a famous herbal medicine in China and other East Asian countries. In this work, we developed a comprehensive strategy integrating targeted and non-targeted analyses for quality evaluation and discrimination of GET from different geographical origins and cultivars. Firstly, 43 batches of GET samples of five cultivars from three regions in China were efficiently quantified by a "single standard to determine multi-components" (SSDMC) method. Six marker compounds were simultaneously determined within 11min using gastrodin as the internal standard. It showed that samples from different regions and cultivars could not be differentiated by the contents of six marker compounds. Secondly, a non-targeted metabolite profiling analysis was performed by ultrahigh-performance liquid chromatography quadrupole time-of-flight mass spectrometry (UHPLC-QTOF/MS). Samples from different geographical origins and cultivars were clearly discriminated by principal component analysis (PCA) and partial least-squares discriminant analysis (PLS-DA). 147 discriminant ions contributing to the group separation were selected from 1194 aligned variables. Furthermore, based on the relative intensities of discriminant ions, support vector machines (SVM) was employed to predict the geographical origins of GET. The obtained SVM model showed excellent prediction performance with an average prediction accuracy of 100%. These results demonstrated that the UHPLC-QTOF/MS-based non-targeted metabolite profiling analysis, as a vital supplement to targeted analysis, can be used to discriminate the geographical origins and cultivars of GET.

Design of ultraviolet wavelength and standard solution concentrations in relative response factors for simultaneous determination of multi-components with single reference standard in herbal medicines.

Single standard to determine multi-components (SSDMC) is a practical pattern for quality evaluation of herbal medicines (HMs). However, it remains challenging because of potential inconsistency of relative response factors (RRF) on different instruments. In this work, the effects of two key roles, i.e., ultraviolet (UV) wavelength and standard solution concentrations, on reproducibility of RRF were investigated. The effect of UV wavelength on reproducibility of RRF was studied by plotting the relationship of the peak area ratios (internal standard vs analyte) to wavelengths. The preferable wavelength should be set at the flat parts of the curve. Optimized 300 nm produced a 0.38% RSD for emodin/emodin-8-O-ß-D-glucopyranoside on five instruments, much lower than 2.80% obtained from the maximum wavelength at 290 nm. Next, the effects of standard solution concentrations of emodin on its response factor (RF) were investigated. For one single point method, low concentration less than 49 b/k resulted in significant variations in RF. For emodin, when the concentration is higher than 7.00 µg mL(-1), a low standard deviation (SD) value at 0.13 was obtained, while lower than 7.00 µg mL(-1), a high SD at 3.71 was obtained. The developed SSDMC method was then applied to determination of target components in 10 Polygonum cuspidatum samples and showed comparable accuracy to conventional calibration methods with deviation less than 1%.

A single, multi-faceted, enhanced strategy to quantify the chromatographically diverse constituents in the roots of Euphorbia kansui.

Kansui radix is a famous poisonous traditional Chinese medicine. However, due to its different types of constituents with broad polarity, a variety of UV absorptions and lack of the reference standards, it was difficult to simultaneously determine the main component in kanui radix. A single, multi-faceted, enhanced strategy, exogenous reference standard - single standard to determine multi-components method (ERS-SSDMC), was proposed. Thirteen major components of kansui radix, including three jatrophane diterpenoids, eight ingenane diterpenoids and two triterpenes, among which there were three pairs of isomers, were simultaneously assayed. A C8 column, packed with 2.7µm core-shell particles, was optimized to separate these constituents in 25min on HPLC instrument detected at a program wavelength. Ethyl benzoate employed as single exogenous reference standard. The method was fully validated with respect to linearity (r(2)>0.9995), LOQs (0.1-0.4µg/mL), precision, accuracy (92-114%, RSD<4.4%) and stability. The robustness of the method was performed by Plackett-Burmantest tests which eight primary chromatographic parameters were investigated. It was found that the two factors, wavelength and flow rate, should be strictly controlled. A total of 75 batches of kansui radix and its three different processing products were successfully analyzed and discriminated by applying the proposed method. This work demonstrates an effective strategy for the SSDMC method making the simultaneous assay of complex multi-component TCM system achievable.