Combination Of Columns Research Articles

Seismic assessment of linked-column frame structural system considering soil-structure effects

The Linked Column Frame (LCF) structural system is comprised of moment-resisting frames as the primary gravity load-carrying system and a combination of closely-spaced dual columns interconnected with link beams acting together with the moment-resisting frames as the lateral load resisting system. In this system, the link beams are designed to provide ductility and deform plastically. As the damages are concentrated to the links thus, the LCF rapidly returns to occupancy design performance while retaining architectural privileges of the non-braced steel frames. In this study, 3, 6, and 9-story frames equipped with LCF and resting on soil type II and IV are subjected to seven near and far-field earthquake records. These structures are designed based on the plan of SAC buildings using SAP2000, and then, nonlinear time-history analyses were carried. The results indicate that maximum roof drift of the structures on stiff soil (type II) has been insignificantly affected under both near and far-field earthquakes. In soft soils (type IV), drifts values increase by 6.85%, subject to both far and near-field earthquakes. Moreover, in contrast to the stiff soil, roof acceleration has decreased more when the structure is on soft soil, nearly 6.12%. The result of maximum inter-story drift ratios of the structures founded on soil type II illustrates that under an average of near-field earthquakes, drift ratios of 3 and 6-story structures have increased by 3.2%. On the other hand, the 9-story structure has encountered a decrease of 5.17%. Under an average of near-field earthquakes in soil type IV, a drift ratio of 3 and 6 and 9-story structures has grown to 5.11 and 11.2%, respectively, compared to the fixed-base models. In far-field earthquakes, drift values of 3 and 6-story LCF were reduced by 6.2%, and the 9-story structure has experienced an increase of 8.79%.

A rapid LC-MS/MS method for simultaneous determination of nicotine and its key derivatives including hydroxylation isomers

A rapid high pressure liquid chromatography coupled with tandem mass spectrometry method (LC-MS/MS) was developed for simultaneously determining nicotine (NT) and its derivatives including cotinine (CT), trans-3-hydroxycotinine (HC), nornicotine (NNT), anatabine (AT), anabasine (AB) and amino ketone (4-(methylamino)-1-(3-pyridyl)1-butanone) (AK) as well as two important metabolites isomers 2-hydroxynicotine (2-HN) and 6-hydroxynicotine (6-HN) in tobacco leaves. Different from other methods, 2-HN and 6-HN isomers can be successfully separated and quantified through a combination of amide and C18 columns and optimized multiple reaction monitoring mode of tandem mass spectrometry. The limits of detections (LOD) and quantification (LOQ) of these compounds were 0.02 and 0.06 ng/mL for CT and HC, 0.05 and 0.15 ng/mL for AK and 6-HN, and 0.1 and 0.3 ng/mL for AB, NNT, AT, 2-HN and NT, respectively. Their recoveries ranged from 86.1% for 2-HN to 102.2% for AK by using solvent extraction assisted with ultrasonication. The developed method was validated through determination of the compounds in different regular and genetically modified (for lowering nicotine) tobacco leaves. Conclusively, it is a robust and rapid method for simultaneous quantification of nicotine and its derivatives in tobacco products. The protocol of the method could also be applied in developing analysis method for tracking the toxic substances synthesis and metabolism in tobacco leaves or other herbal plants.

Optimized method for analysis of ethanolamines, hydrolysis products of nitrogen mustards, from urine samples using LC-MS/MS

Highly polar ethanolamines (EAs), excreted in urine, are hydrolysis products of nitrogen mustards (NMs), which are prohibited by the Chemical Weapons Convention (CWC). The methods established for biological matrices are essential for verification analysis of the CWC related chemicals. This paper describes a new liquid chromatography-tandem mass spectrometry (LC-MS/MS) method developed for qualitative and quantitative analysis of EAs, N-ethyldiethanolamine (EDEA), N-methyldiethanolamine (MDEA) and triethanolamine (TEAOH) from urine samples. After optimization of sample preparation and chromatographic conditions, the method was fully validated. Silica solid-phase extraction (SPE) cartridges and a porous graphite carbon (PGC) column were selected for validation studies. The method is linear from 5 to 500, 0.5 to 250, and 0.5 to 500 ng/mL for TEAOH, EDEA, and MDEA, respectively. It is also precise and accurate. A minimum sample amount of 0.5 mL urine was used. The limit of quantification using this approach was 0.4, 5.5, and 6.3 ng/mL for MDEA, EDEA and TEAOH, respectively. The combination of the PGC column and high pH eluents in analysis retained and separated the studied EAs. Retention times were 2.11, 2.56 and 2.98 min for MDEA, EDEA and TEAOH, respectively. The method is applicable for verification analysis of the CWC.

Discussion On Prefabricated Assembly Plan Of Subway Underground Station

Prefabricated assembly technology has become an important direction for the development of subway underground stations. Comprehensively considering the three factors of stress, waterproof and construction environment, this paper proposes a set of prefabricated and cast-in-place assembly plans for subway stations. On the premise of ensuring that the overall stress form of subway station frame does not change significantly, the detailed prefabricated joint structure is designed, which effectively solves the waterproof problem of underground structure. The combination of permanent column and temporary column is realized, the investment of formwork support is reduced, and the assembly construction process of subway station is greatly simplified.

Representation of the Diurnal Distribution of Organic Aerosol by Multidimensional Liquid Chromatography Systems

Aerosols have various effects on human health, climate, and ecosystems. Aerosols also have an important role in climate change by altering the radiation balance and lifetime and properties of clouds. Organic aerosol (OA) is composed of a mixture of hundreds to thousands of organic compounds that varies geographically, diurnally, and seasonally according to several factors, such as type and concentration of precursor, type and concentration of oxidants, temperature, relative humidity, among others. The type and number of functional groups composing individual organic species influence their interaction with water vapor and sunlight, therefore affecting both the water cycle and radiation balance. Great efforts have been made to develop analytical techniques that allow the identification and quantification of individual species composing this complex mixture of organic matter and decrease the uncertainty of models to accurately predict OA formation and evolution. It was found that most of the column combinations were not adequate and the best system was provided by methanol: water (1:1). The combination of columns that provided the best separation of the standard compounds was provided by Cyclohexyl and Methyl as primary and secondary columns. However, when this combination of columns was used to represent the evolution of ambient air organic aerosols, significant co-elution was observed. The positive outcome of this study was helpful to evaluate 2D-LC as a potential technique for more accurate determination of organic aerosol components and to understand organic aerosol formation and transformation pathways that can be used in secondary organic aerosol production models.

Unraveling the Complex Olefin Isomer Mixture Using Two-Dimensional Gas Chromatography-Photoionization-Time of Flight Mass Spectrometry

Commercial dodecenes are a complex chemical mixture with a majority of C12 olefins and minority of C8-18 olefins. Structurally, dodecene products may consist of straight-chain alkenes, branched alkenes, as well as cyclic hydrocarbons. Due to the difference of feeds and catalysts used in the oligomerization reaction, the composition of the dodecenes is complex and their properties are very different. Knowing the complex composition of dodecenes can help tune the production process and select the appropriate products according to their end use. To reveal the complex profile of dodecenes, an analytical method using two-dimensional gas chromatography (GC×GC) coupled photoionization (PI) - time of flight mass spectrometry (TOFMS) was developed in this study. A conventional (nonpolar × polar) column combination (non-polar column as 1st dimension and mid-polar column as 2nd dimension) was selected. The analytical condition of GC was optimized using fractional factorial experimental design (DoE). Olefin congener grouping by carbon chain length and double bond equivalent (DBE) was achieved based on the detection of molecular ions by PI-TOFMS. Grouping of dodecenes by linear, mono-branched, di- and tri-branched subgroups was achieved based on branching index (BI) under the assumption of no retention time (RT) overlap among subgroups. Certain dodecene isomers were identified by retention index (RI) and further confirmed by PI mass spectra. The information altogether provided a multimodal characterization possibility to be used with statistical tools. Principal component analysis (PCA) and hierarchical clustering analysis (HCA) of seventeen dodecene samples explained the composition variance between catalysts solid phosphoric acid and zeolite, as well as between feeds with C4 and without C4.

Analysis of Geocell-Reinforced Stone Column-Supported Embankment Considering Soil-Structure Interaction

Geocells are a superior form of reinforcement due to their cost-effectiveness and three-dimensional confining properties. The effect of the basal geocell layer on the performance of the stone column-supported embankment was evaluated in this paper by carrying out time-dependent coupled analyses considering the geocell-infill soil interactions. The various parameters, such as arching, stress concentration ratio, surface settlement, column bulging characteristics, and the influence of various types of infill materials and drainage blanket thickness on column-supported embankment behavior, were analyzed. The load transfer mechanism was quantified using the term stress concentration ratio, and with the use of geocell mattress above stone columns, the stress concentration ratio increased by 1.5 times that of ordinary stone columns. Also, it was observed that compared to ordinary stone column-supported embankment, the combination of stone columns with geocell-sand mattress resulted in a further reduction of the foundation settlement by 15%. Analysis results showed that the arching behavior is not predominant in geocell-reinforced columnar structures. The various analytical methods like Guido et al. (1987), Low et al. (1994), and Abusharar et al. (2009), which were developed for geosynthetic reinforced columnar embankments, were found to significantly under-predict the stress reduction ratio values with geocells.

Redundant Gaussian dictionary in compressed sensing for ambulatory photoplethysmography monitoring

With the rapid development of wireless communication technology, wireless photoplethysmography sensors have emerged and been applied in clinics or daily healthcare. However, energy efficiency is still a major obstacle for such devices in long-term use. Data compression can reduce airtime over energy-hungry wireless links and improve the energy efficiency of the sensors. In this study, we explored a redundant dictionary-based compressed sensing scheme for ambulatory photoplethysmography data compression. We first proposed a redundant Gaussian dictionary, which was the column combination of circle shift atoms of Gaussian function. Besides, we came up with a simple method for dictionary generation. To demonstrate its efficiency improvement for compactly representing photoplethysmography signal, the proposed dictionary was compared with the dictionaries of discrete cosine transform, wavelet transform, Fourier transform, and Gabor transform in experiments using the database of IEEE Signal Processing Cup 2015. Results indicated the recovered photoplethysmography signals were essentially undistorted by the combination of redundant Gaussian dictionary, sparse binary measurement matrix, and smoothed l0 pseudo norm recovery algorithm. The average percentage of root-mean-square difference was 8.00%, and its ratio over 9% was 0.32 when the compression ratio was equal to 30%. Furthermore, after a 20 Hz anti-aliasing low-pass filtering, perfect full-band signals were recovered by using our method, where every frame satisfied the requirement of non-distortion diagnosis at 70% data reduction. The outstanding performance and low-complexity indicate the proposed redundant Gaussian dictionary is an excellent choice for using in compressed sensing enabled ambulatory photoplethysmography.

Combination of DGA and LN Columns: A Versatile Option for Isotope Production and Purification at Oak Ridge National Laboratory

ABSTRACT The chromatographic resins DGA and LN have been used sequentially to separate curium, californium, plutonium, and various fission products (FPs) to obtain products with a pure radioisotope or a radioelement with high isotopic purity. This 2-step combination of resins has found applications in the 252Cf and 238Pu campaigns performed at Oak Ridge National Laboratory. Experiments have been carried out in glove boxes, shielded caves, and hot cells, demonstrating that these resins are adequate and maintain their performance in highly radiolytic environments. Using these resins has led to the recovery of curium highly enriched (>95%) in 248Cm, the clean separation of 251Cf for the superheavy element research, and the recovery of 147Pm from the FP stream obtained during the 238Pu production campaign while demonstrating that the raffinate post DGA is essentially free of transuranic elements.

QSRR modelling aimed on the HPLC retention prediction of dimethylamino- and pyrrolidino-substitued esters of alkoxyphenylcarbamic acid

Two homologous series of alkoxyphenylcarbamic acids esters with biological activities were subjected to the QSRR (Quantitative Structure–Retention Relationships) study. Retention factors of studied derivatives were measured in four different HPLC (High Performance Liquid Chromatography) systems. Experimental data in combination with in silico calculated molecular descriptors were used for development complex QSRR model for prediction of retention factor and partially for elucidation of separation mechanisms. The best results in QSRR modelling were given by artificial neural networks in the terms of developing one single robust model with high accuracy of logk prediction ( $${Q}_{\mathrm{F}3}^{2}$$ = 0.998) for all studied chromatographic systems. Chemometrical techniques were also used to elucidate the separation mechanisms occurring in the HPLC systems. We found similarities between particular systems and we identified systems which were the most suitable for separation of positional isomers of studied compounds. We observed that solvent significantly influenced the chromatographic separation of positional isomers depending on the used column, whereas combination of acetonitrile and C18-phenyl column caused suppression of π − π interactions, so retention was wholly determined by the hydrophobic interactions.

Comprehensive Analysis of the Liquid Fraction of Car Tire Pyrolysis Products by Gas Chromatography–Mass Spectrometry

The liquid fraction of tire pyrolysis products was comprehensively analyzed by gas chromatography–mass spectrometry and two-dimensional gas chromatography. The direct (nonpolar–polar) и and inverse (polar–nonpolar) column combinations were used. The inverse combination allows efficient separation of alkanes and alkenes. Aliphatic hydrocarbons constitute no more than 24 wt % of the liquid fraction, with the remainder being aromatic, mainly monoaromatic, compounds. The sulfur content of the liquid fraction is about 0.7 wt %; sulfur is mainly present in the form of thiophene derivatives.

New formulations of algebraic criteria for controllability and observability of a linear MIMO-system

New formulations of algebraic criteria for controllability and observability of a linear dynamical system with multiple inputs and outputs (MIMO-systems) are given, the corresponding theorems are formulated. The criteria are based on algebraic relations between linear combinations of the control matrix columns and own vectors of the free dynamics matrix. Keywords algebraic criterion; controllability; observability; linear MIMO-system; own value; own vector; Krylov vector and matrix; kernel; cokernel

Mapping the Separation Landscape in Two-Dimensional Liquid Chromatography: Blueprints for Efficient Analysis and Purification of Pharmaceuticals Enabled by Computer-Assisted Modeling.

Recent developments in two-dimensional liquid chromatography (2D-LC) now make separation and analysis of very complex mixtures achievable. Despite being such a powerful chromatographic tool, current 2D-LC technology requires a series of arduous method development activities poorly suited for a fast-paced industrial environment. Recent introductions of new technologies including active solvent modulation and a support for multicolumn 2D-LC are helping to overcome this stigma. However, many chromatography practitioners believe that the lack of a systematic way to effectively optimize 2D-LC separations is a missing link in securing the viability of 2D-LC as a mainstay for industrial applications. In this work, a computer-assisted modeling approach that dramatically simplifies both offline and online 2D-LC method developments is introduced. Our methodology is based on mapping the separation landscape of pharmaceutically relevant mixtures across both first (1D) and second (2D) dimensions using LC Simulator (ACD/Labs) software. Retention models for 1D and 2D conditions were built using a minimal number of multifactorial modeling experiments (2 × 2 or 3 × 3 parameters: gradient slope, column temperature, and different column and mobile phase combinations). The approach was first applied to online 2D-LC analysis involving achiral and chiral separations of complex mixtures of enantiomeric species. In these experiments, the retention models proved to be quite accurate for both the 1D and 2D separations, with retention time differences between experiments and simulations of less than 3.5%. This software-based concept was also demonstrated for offline 2D-LC purification of drug substances.

Adam and the Ants: On the Influence of the Optimization Algorithm on the Detectability of DNN Watermarks.

As training Deep Neural Networks (DNNs) becomes more expensive, the interest in protecting the ownership of the models with watermarking techniques increases. Uchida et al. proposed a digital watermarking algorithm that embeds the secret message into the model coefficients. However, despite its appeal, in this paper, we show that its efficacy can be compromised by the optimization algorithm being used. In particular, we found through a theoretical analysis that, as opposed to Stochastic Gradient Descent (SGD), the update direction given by Adam optimization strongly depends on the sign of a combination of columns of the projection matrix used for watermarking. Consequently, as observed in the empirical results, this makes the coefficients move in unison giving rise to heavily spiked weight distributions that can be easily detected by adversaries. As a way to solve this problem, we propose a new method called Block-Orthonormal Projections (BOP) that allows one to combine watermarking with Adam optimization with a minor impact on the detectability of the watermark and an increased robustness.

Determination of streptomycin and dihydrostreptomycin in grapes by liquid chromatography-tandem mass spectrometry

Streptomycin (STR) and dihydrostreptomycin (DSTR) are two of the most common aminoglycoside antibiotics used in veterinary medicine. STR is produced by some streptomyces griseus strains, and DSTR is a derivative of STR. In recent years, STR has been widely used in grapes to induce denuclearization. However, high levels of STR may have adverse effects like serious ototoxicity and nephrotoxicity. Therefore, to ensure the quality of grapes and the health of consumers, the regulation of STR and DSTR levels in grapes is required. An analytical method was developed for the identification and quantification of STR and DSTR in grapes by liquid chromatography-tandem mass spectrometry (LC-MS/MS). STR and DSTR are highly polar compounds due to the presence of various amino and hydroxyl groups in their structure. The determination of STR and DSTR poses a considerable analytical challenge, both during sample preparation and instrument analysis. In this study, the main factors governing the response, recovery, and sensitivity of these compounds, such as the type of chromatographic column, the type and proportion of the mobile phase and extraction solvent, the dosage of sodium 1-hexane sulfonate solution, and elution solvent and its volume, were investigated during sample pretreatment and instrument analysis. The STR and DSTR residues in the grape sample were extracted by ultrasonication with a phosphoric acid solution (pH 2), and cleanup and enrichment was performed using an Oasis HLB solid phase column. The analysis was performed using a UPLC Waters HSS T3 column (100 mm×2.1 mm, 1.8 μm) at the column temperature of 35℃. The injection volume was 2 μL. The mobile phase consisted of 0.1% formic acid aqueous solution and methanol with a volume ratio of 60:40. ESI-MS/MS was operated in multiple reaction monitoring (MRM) mode. External standard calibration curves were used for quantification. Based on the optimized method, both analytes displayed good linearity between 2 and 400 μg/L. The correlation coefficients were 0.9991-0.9997. Recoveries in spiked blank grape samples (5, 10, 20, and 40 μg/kg) ranged from 76.8% to 91.9%, with the relative standard deviations (RSDs) less than 10.2%, in compliance with the current legislation. The limits of detection and the limits of quantification of both analytes were 1 μg/L and 5 μg/kg, respectively. To assess the feasibility and potential of the proposed approach for routine analyses of STR and DSTR in other kinds of grape samples, the developed method was applied to the analysis of these compounds in red grapes, xinyu grapes, and xiahei grapes. The recoveries of STR and DSTR in the three kinds of blank grape samples were 77.2%-83.9% and 70.8%-78.9%, respectively, and the RSDs ranged from 3.0% to 15.6%. The results showed that the optimized methods can yield satisfactory recoveries for the analytes in grapes. In this method, the combination of Waters HSS T3 column to overcome the difficulties of the retention and separation of these highly polar compounds in the reverse phase, avoids the use of an ion-pair additive in the mobile phase to increase their retention, which is known to cause severe contamination of the column and serious ion suppression with electrospray ionization detection. In addition, the ideal enrichment and purification effect can be achieved by adding a sodium 1-hexane sulfonate solution to the superstratum extract with the use of only Oasis HLB for sample treatment. The method described herein has the advantages of easy operation, accuracy, and selectivity, making it feasible for the identification and quantification of STR and DSTR residues in grapes.

WITHDRAWN: Use of geo-grid reinforcement and stone column for strengthening of mat foundation base

Geogrid reinforced stone column system was used in present research to check the effectiveness of the system in soft soils of Kathmandu Valley. The area consists of silty sand and clay of low plasticity and initial bearing capacity of 75 kPa. Geogrid layers are laid over granular backfill material and compaction was carried out. The results show that there is a significant increase in the bearing capacity and reduction in settlements. The results show that combination of stone column with geogrid reinforcement is an effective solution for ground improvement to reduce settlement, increase bearing capacity and strengthening mat foundation base.

Ionic Liquid Stationary Phase for Improving Comprehensive Two-dimensional Gas Chromatographic Separation of Polychlorinated Naphthalenes

The performance of comprehensive two-dimensional gas chromatography coupled to mass spectrometry (GC×GC-MS) using a column combination of a non-polar stationary phase (DB-5MS) and an ionic liquid stationary phase (SLB-IL60) in the first- and the second dimension has been evaluated for the suitable separation of polychlorinated naphthalenes (PCNs). The optimization of the GC×GC-MS method was carried out using different oven temperature programs and modulation conditions, achieving the best results using a ramp temperature rate of 0.75 °C min−1 and a modulation time of 12 s. Under these conditions, efficient separation of all PCN congeners present in Halowax formulations was achieved in 140 min, resolving some critical closed eluting isomers, such as CN-33/34/37, highly toxic CN-66/67 or CN-71/72 pairs, among others. These findings represent a significant improvement in the congener-specific separation of PCNs over the 1D-GC and GC×GC methodologies already published and the DB-5MS × SLB-IL60 column combination offered the orthogonality required for the congener-specific determination with a high peak capacity. The GC×GC-MS method was applied to the characterisation of Halowax formulations, obtaining similar compositional profiles than those previously reported.

Macroporous Polymer Monoliths for Affinity Chromatography and Solid-Phase Enzyme Processing.

Nowadays, monolithic stationary phases, because of their special morphology and enormous permeability, are widely used for the development and realization of fast dynamic and static processes based on the mass transition between liquid and solid phases. These are liquid chromatography, solid-phase synthesis, microarrays, flow-through enzyme reactors, etc. High-performance liquid chromatography on monoliths, including the bioaffinity mode, represents unique technique appropriate for fast and efficient separation of biological (macro)molecules of different sizes and shapes (proteins, nucleic acids, peptides), as well as such supramolecular systems as viruses.In the edited chapter, the examples of the application of commercially available macroporous monoliths for modern affinity processing are presented. In particular, the original methods developed for efficient isolation and fractionation of monospecific antibodies from rabbit blood sera, the possibility of simultaneous affinity separation of protein G and serum albumin from human serum, the isolation of recombinant products, such as protein G and tissue plasminogen activator, respectively, are described in detail. The suggested and realized multifunctional fractionation of polyclonal pools of antibodies by the combination of several short monolithic columns (disks) with different affinity functionalities stacked in the same cartridge represents the original and practically valuable method that can be used in biotechnology. In addition, macroporous monoliths were adapted to the immobilization of such different enzymes as polynucleotide phosphorylase, ribonuclease A, α-chymotrypsin, chitinolytic biocatalysts, β-xylosidase, and β-xylanase. The possibility of use of immobilized enzyme reactors based on monoliths for different purposes is demonstrated.

Total-transfer comprehensive three-dimensional gas chromatography with time-of-flight mass spectrometry

Although comprehensive two-dimensional (2D) gas chromatography (GC × GC) is a powerful technique for complex samples, component overlap remains likely. An intriguing route to address this challenge is to utilize the additional peak capacity and chemical selectivity provided by comprehensive three-dimensional (3D) gas chromatography (GC3), especially with time-of-flight mass spectrometry detection (GC3-TOFMS). However, the GC3-TOFMS instrumentation reported to date has employed one or both modulators with a duty cycle < 100%, making the potential gain in detection sensitivity over GC × GC modest, or perhaps even worse. Herein, we describe instrumentation for GC3-TOFMS in which both modulators provide total-transfer (100% duty cycle). Specifically, the instrument is based on the facile modification of a commercial thermally modulated comprehensive GC × GC-TOFMS platform for modulation from the 1D column to the 2D column, with recently described dynamic pressure gradient modulation (DPGM) as the second modulator from the 2D column to the 3D column, which is a total-transfer flow modulation technique. Area measurements of 1D peaks are compared to the sum of 3D peak areas to validate the assumption that total-transfer from 1D to 3D is accomplished. Additionally, peak heights were amplified by as high as a factor of 177 (x̅ = 130, s = 47) via comparison of 1D peak heights to the maximum 3D peak heights. Column selection is explored, with emphasis on the resulting peak width-at-base on each dimension and usage of 3D space as evaluation metrics. Using a nonpolar × polar × ionic liquid column combination, an effective peak capacity which considers modulation-induced broadening as high as 32,300 for select analytes was achieved (x̅ = 19,900, s = 10,700). The analytical benefits of employing three selective phases, mass spectrometry detection, and total-transfer modulation are explored with separations of a metabolomics-type sample, i.e., derivatized porcine serum, and a jet fuel spiked with various sulfur-containing compounds.

Development of a Size-Exclusion/Ion-Exclusion/Reversed-Phase Separation Method for the Simultaneous Determination of Inorganic and Organic Acids, Sugars, and Ethanol During Multiple Parallel Fermentation of Rice Wine

An effective method for monitoring the progress of rice wine fermentation (saccharification, glycolysis system, ethanol fermentation, and the TCA cycle) is required owing to the decreasing human resources in rice wine brewing and dramatically increasing export quantity of rice wine. This study aimed to develop an anion-exclusion/size-exclusion/reversed-phase chromatographic (AEC/SEC/RPC) separation protocol for the simultaneous determination of sugars, ethanol, inorganic, and organic acids for the effective monitoring of rice wine fermentation processes. Optimal chromatographic resolutions were obtained by the combination of a polymer-based size-exclusion column and H+-form weakly acidic cation-exchange resin column with a 20.0 mM phthalic acid eluent. The optimized AEC/SEC/RPC separation system determined 16 different species during rice wine fermentation in a single analysis. The developed AEC/SEC/RPC method demonstrated the below useful advantages for (1) evaluating the progress of rice wine fermentation; (2) evaluating the activity of brewing yeast from the behaviors of glucose, phosphate, and ethanol concentration; and (3) obtaining good correlation between the developed and official methods for monitoring glucose and ethanol. Consequently, several beneficial information was obtained for the process control of rice wine brewing by the developed method.