Mixed Feedstock Approach to Lignocellulosic Ethanol Production—Prospects and Limitations

Lignocellulosic ethanol is a promising alternative to fossil-derived fuels because lignocellulosic biomass is abundant, cheap and its use is environmentally friendly. However, the high costs of feedstock supply and the expensive processing requirements of lignocellulosic biomass hinder the development of the lignocellulosic biorefinery. Lignocellulosic ethanol production so far, has been based mainly on single feedstocks while the use of mixed feedstocks has been poorly explored. Previous studies from alternative applications of mixed lignocellulosic biomass (MLB) have shown that their use can bring about significant cost savings when compared to single feedstocks. Although laboratory-scale evaluations have demonstrated that mixed feedstocks give comparable or even higher ethanol yields compared to single feedstocks, more empirical studies are needed to establish the possibility of achieving significant cost savings in terms of pre-biorefinery logistics. In this review, some potential benefits of the use of MLB for ethanol production are highlighted. Some anticipated limitations of this approach have been identified and ways to surmount them have been suggested. The outlook for ethanol production from MLB is promising provided that revolutionary measures are taken to ensure the sustainability of the industry.     

Current developments in high-throughput analysis for microalgae cellular contents

Microalgae have emerged as one of the most promising feedstocks for biofuels and bio-based chemical production. However, due to the lack of effective tools enabling rapid and high-throughput analysis of the content of microalgae biomass, the efficiency of screening and identification of microalgae with desired functional components from the natural environment is usually quite low. Moreover, the real-time monitoring of the production of target components from microalgae is also difficult. Recently, research efforts focusing on overcoming this limitation have started. In this review, the recent development of high-throughput methods for analyzing microalgae cellular contents is summarized. The future prospects and impacts of these detection methods in microalgae-related processing and industries are also addressed.     

Chiral electromigration techniques in pharmaceutical and biomedical analysis

Capillary electromigration techniques are often considered ideal methods for enantioseparations due to their high separation selectivity and flexibility. Thus, numerous methods employing a chiral selector as pseudostationary phase in a background electrolyte have been developed and applied for the chiral analysis of drugs in bulk ware, pharmaceutical formulations and biological matrices. Furthermore, electromigration techniques have been combined with spectroscopic methods such as nuclear magnetic resonance in order to understand the complexation of analytes by chiral selectors. The present review focuses on recent developments and applications of chiral electromigration techniques in pharmaceutical and biomedical analysis including examples illustrating analyte–selector complex formation or mechanistic studies which have been published between January 2009 and July 2011. Selector-mediated chiral separations clearly dominate while no applications of capillary electrochromatography to pharmaceutical or biomedical analysis have been reported during this period of time.     

A high-throughput core sampling device for the evaluation of maize stalk composition

Background

A major challenge in the identification and development of superior feedstocks for the production of second generation biofuels is the rapid assessment of biomass composition in a large number of samples. Currently, highly accurate and precise robotic analysis systems are available for the evaluation of biomass composition, on a large number of samples, with a variety of pretreatments. However, the lack of an inexpensive and high-throughput process for large scale sampling of biomass resources is still an important limiting factor. Our goal was to develop a simple mechanical maize stalk core sampling device that can be utilized to collect uniform samples of a dimension compatible with robotic processing and analysis, while allowing the collection of hundreds to thousands of samples per day.

Results

We have developed a core sampling device (CSD) to collect maize stalk samples compatible with robotic processing and analysis. The CSD facilitates the collection of thousands of uniform tissue cores consistent with high-throughput analysis required for breeding, genetics, and production studies. With a single CSD operated by one person with minimal training, more than 1,000 biomass samples were obtained in an eight-hour period. One of the main advantages of using cores is the high level of homogeneity of the samples obtained and the minimal opportunity for sample contamination. In addition, the samples obtained with the CSD can be placed directly into a bath of ice, dry ice, or liquid nitrogen maintaining the composition of the biomass sample for relatively long periods of time.

Conclusions

The CSD has been demonstrated to successfully produce homogeneous stalk core samples in a repeatable manner with a throughput substantially superior to the currently available sampling methods. Given the variety of maize developmental stages and the diversity of stalk diameter evaluated, it is expected that the CSD will have utility for other bioenergy crops as well.     

Proteomics as a tool for clinically relevant biomarker discovery and validation

The excitement associated with clinical applications of proteomics was initially focused on its potential to serve as a vehicle for both biomarker discovery and drug discovery and routine clinical sample analysis. Some approaches were thought to be able to "identify" mass spectral characteristics that distinguished between control and disease samples, and thereafter it was believed that the same tool could be employed to screen samples in a high-throughput clinical setting. However, this has been difficult to achieve, and the early promise is yet to be fully realized. While we see an important place for mass spectrometry in drug and biomarker discovery, we believe that alternative strategies will prove more fruitful for routine analysis. Here we discuss the power and versatility of 2D gels and mass spectrometry in the discovery phase of biomarker work but argue that it is better to rely on immunochemical methods for high-throughput validation and routine assay applications.     

大规模高通量方法在蛋白质相互作用研究中的应用

随着后基因组时代的到来,阐明蛋白质间相互作用关系成为蛋白质研究的又一热点,促进了相关技术的不断产生、发展和完善.其中涉及到诸多大规模高通量的方法,如双杂交系统、噬菌体展示、质谱、蛋白质芯片以及生物信息学等,这为系统分析蛋白质相互作用提供视点,有望在蛋白质组学研究中发挥重要作用.每种方法各有其优缺点且适用范围不同,在一定程度上各方法的实验结果互为补充.现拟就这些大规模高通量方法的研究进展及其在蛋白质相互作用研究中的应用作一综述.     

Developments of biobased plasticizers for compostable polymers in the green packaging applications: A review

The demand for biobased materials for various end-uses in the bioplastic industry is substantially growing due to increasing awareness of health and environmental concerns, along with the toxicity of synthetic plasticizers such as phthalates. This fact has stimulated new regulations requiring the replacement of synthetic conventional plasticizers, particularly for packaging applications. Biobased plasticizers have recently been considered as essential additives, which may be used during the processing of compostable polymers to enormously boost biobased packaging applications. The development and utilization of biobased plasticizers derived from epoxidized soybean oil, castor oil, cardanol, citrate, and isosorbide have been broadly investigated. The synthesis of biobased plasticizers derived from renewable feedstocks and their impact on packaging material performance have been emphasized. Moreover, the effect of biobased plasticizer concentration, interaction, and compatibility on the polymer properties has been examined. Recent developments have resulted in the replacement of synthetic plasticizers by biobased counterparts. Particularly, this has been the case for some biodegradable thermoplastics-based packaging applications.     

Recent Advances in Biomaterial-Based High-Throughput Platforms

High-throughput systems allow screening and analysis of large number of samples simultaneously under same conditions. Over recent years, high-throughput systems have found applications in fields other than drug discovery like bioprocess industries, pollutant detection, material microarrays, etc. With the introduction of materials in such HT platforms, the screening system has been enabled for solid phases apart from conventional solution phase. The use of biomaterials has further facilitated cell-based assays in such platforms. Here, the authors have focused on the recent developments in biomaterial-based platforms including the fabricationusing contact and non-contact methods and utilization of such platforms for discovery of novel biomaterials exploiting interaction of biological entities with surface and bulk properties. Finally, the authors have elaborated on the application of the biomaterial-based high-throughput platforms in tissue engineering and regenerative medicine, cancer and stem cell studies. The studies show encouraging applications of biomaterial microarrays. However, success in clinical applicability still seems to be a far off task majorly due to absence of robust characterization and analysis techniques. Extensive focus is required for developing personalized medicine, analytical tools and storage/shelf-life of cell laden microarrays.     

Metabolic profiling, metabolomic and metabonomic procedures for NMR spectroscopy of urine, plasma, serum and tissue extracts

Metabolic profiling, metabolomic and metabonomic studies mainly involve the multicomponent analysis of biological fluids, tissue and cell extracts using NMR spectroscopy and/or mass spectrometry (MS). We summarize the main NMR spectroscopic applications in modern metabolic research, and provide detailed protocols for biofluid (urine, serum/plasma) and tissue sample collection and preparation, including the extraction of polar and lipophilic metabolites from tissues. 1H NMR spectroscopic techniques such as standard 1D spectroscopy, relaxation-edited, diffusion-edited and 2D J-resolved pulse sequences are widely used at the analysis stage to monitor different groups of metabolites and are described here. They are often followed by more detailed statistical analysis or additional 2D NMR analysis for biomarker discovery. The standard acquisition time per sample is 4-5 min for a simple 1D spectrum, and both preparation and analysis can be automated to allow application to high-throughput screening for clinical diagnostic and toxicological studies, as well as molecular phenotyping and functional genomics.     

Commercial high-throughput sequencing and its applications in DNA analysis

DNA sequences can be used for the analysis of genetic variation and gene function. The high-throughput sequencing techniques that have been developed over the past three years can read as many as one billion bases per run, and are far less expensive than the traditional Sanger sequencing method. Therefore, the high-throughput sequencing has been applied extensively to genomic analyses, such as screening for mutations, construction of genomic methylation maps, and the study of DNA-protein interactions. Although they have only been available for a short period, high-throughput sequencing techniques are profoundly affecting many of the life sciences, and are opening out new potential avenues of research. With the highly-developed commercial high-throughput sequencing platforms, each laboratory has the opportunity to explore this research field. Therefore, in this paper, we have focused on commercially-popular high-throughput sequencing techniques and the ways in which they have been applied over the past three years.     

微流控器件-质谱联用接口技术研究进展与应用

生物分析是生命科学研究中的重要环节,分析仪器的小型化是提高生物分析灵敏度、速度、通量和降低成本的有效途径之一.微流控技术能够方便地操纵微量样品,具有集成度高、样品耗量小、污染少等诸多其他常量流控技术难以具备的优点,适用于进行多通道样品处理和高通量分析.除广泛采用的光学和电化学检测手段外,质谱也被用作这些微流控器件的检测器,并逐渐形成了微流控器件-质谱联用技术专门研究领域,进一步促进了自动化程度好、灵敏度高、特异性强的高通量生物分析方法的迅速发展.在大量调研国内外文献的基础上,对微流控器件-质谱联用领域的研究背景和现状进行了综述,不但介绍了微流控器件的制造技术还着重介绍了微流控器件-质谱联用技术在蛋白质组学等生物质谱分析方面的应用和新近进展,评述了可能的发展趋势.     

A review of thermal-chemical conversion of lignocellulosic biomass in China

Biomass, a renewable, sustainable and carbon dioxide neutral resource, has received widespread attention in the energy market as an alternative to fossil fuels. Thermal-chemical conversion of biomass to produce biofuels is a promising technology with many commercial applications. This paper reviewed the state-of-the-art research and development of thermal-chemical conversion of biomass in China with a special focus on gasification, pyrolysis, and catalytic transformation technologies. The advantages and disadvantages, potential of future applications, and challenges related to these technologies are discussed. Conclusively, these transformation technologies for the second-generation biofuels with using non-edible lignocellulosic biomass as feedstocks show prosperous perspective for commercial applications in near future.     

Production and Analysis of Fast Pyrolysis Oils from Proteinaceous Biomass

Fast pyrolysis of lignocellulosic biomass is a facile method for producing high yields of liquid fuel intermediates. However, because most fast pyrolysis oils are highly oxygenated, acidic, and unstable, identification of feedstocks that produce higher quality pyrolysis liquids is desirable. Therefore, the effect of feedstock protein content was studied by performing fast pyrolysis experiments on biomass with varying protein content. The feedstocks ranged from low-protein content, ??5% up to feedstocks with >40 wt.% protein content. Protein content was not a major factor in the yield of pyrolysis oil or the distribution of biomass carbon into the pyrolysis products. However, elevated levels of protein did cause a deoxygenation effect in the pyrolysis process with more of the oxygen rejected from the biomass as water. The deoxygenation caused the pyrolysis oil from the higher protein containing biomass to have higher energy content. Furthermore, the concentration of basic nitrogen groups caused the pyrolysis oil from the higher protein biomass to shift to a more neutral pH and lower total acid number than has been measured typically for lignocelluloic biomass pyrolysis oils. Some of the pyrolysis oils, particularly those from the mustard seed family presscakes exhibited better thermal stability than low-protein pyrolysis oils.     

Nonnegative matrix factorization: an analytical and interpretive tool in computational biology

In the last decade, advances in high-throughput technologies such as DNA microarrays have made it possible to simultaneously measure the expression levels of tens of thousands of genes and proteins. This has resulted in large amounts of biological data requiring analysis and interpretation. Nonnegative matrix factorization (NMF) was introduced as an unsupervised, parts-based learning paradigm involving the decomposition of a nonnegative matrix V into two nonnegative matrices, W and H, via a multiplicative updates algorithm. In the context of a pxn gene expression matrix V consisting of observations on p genes from n samples, each column of W defines a metagene, and each column of H represents the metagene expression pattern of the corresponding sample. NMF has been primarily applied in an unsupervised setting in image and natural language processing. More recently, it has been successfully utilized in a variety of applications in computational biology. Examples include molecular pattern discovery, class comparison and prediction, cross-platform and cross-species analysis, functional characterization of genes and biomedical informatics. In this paper, we review this method as a data analytical and interpretive tool in computational biology with an emphasis on these applications.     

Biorefining of biomass to liquid fuels and organic chemicals

The production of liquid and gaseous fuels and industrial chemicals from selected biomass by a process known as biorefining is reviewed. Four broad categories of biomass appear to be suitable feedstocks: woody biomass and forest residues, agricultural residues, directly fermentable crop-grown biomass, and municipal solid waste and sewage sludge. Through the development of suppressed methane fermentation techniques, it is possible to produce valuable organic chemicals such as acetic acid and ethyl acetate, and liquid fuel (rather than fuel gas) by exercising various processing alternatives. Thus the entire field of methane fermentation has been broadened. In the petroleum refining industry, it is usually desirable to produce from crude oil an optimal mixture of industrial organic chemicals and fuels, a concept known as coproduction. The biorefining process reviewed appears to be adaptable to this same concept of coproduction using biomass as a feedstock.     

SNP analysis to dissect human traits

The analysis of complex human diseases has been spurred by the number of published genomic sequence variants - many identified in the course of sequencing the human genome. But, to be useful for genetic analysis, variants have to be mapped accurately, their frequencies in various populations determined, and automated high-throughput assay techniques developed. Recently proposed methods address these issues: the use of 'reduced representation shotgun' methods for more efficient detection of single nucleotide polymorphisms (SNPs), the employment of high-throughput genotyping techniques, the development of SNP maps that incorporate information about linkage disequilibrium, and the use of SNPs in identifying susceptibility genes for common illnesses.     

Sustainable synthesis and applications of polyhydroxyalkanoates (PHAs) from biomass

Polyhydroxyalkanoates (PHAs) belong to group of biopolymers that have in recent times received growing research interest as a result of being eco-friendly and close characteristics with petrochemical based plastics. Alternatives to utilization of synthetic plastics are being explored since synthetic plastics are non-recyclable and non-biodegradable in nature. One of the innovations of Green Chemistry is utilization of renewable feedstocks such as biomass to achieve sustainable development with future circular economy. Bio-based products are of great interest to sustainable development as a result of diminishing fossil fuel reserves and rising environmental concerns. This review summarizes the productions of PHAs from renewable feedstocks such as lignocellulose, crude glycerol, levulinic acid (LA), palm-oil mill effluents (POME) and waste oils. The production of bio-based polymers has become much more professional and differentiated in recent years. Presently, there are bio-based alternatives for practically every application, therefore, this review presents applications of PHA in bio-refinery, medical sectors, agriculture sector, construction industry, and in packaging industry. The cost analysis of PHA from renewable sources with commercially available ones and potential to attain circular economy were also stressed. The reasons for this shift are connected to the non-renewability of fossil-based resources, the deteriorating environmental impacts, and the lack of biodegradability of the petroleum-produced materials.     

Techniques for high-throughput characterization of peptides, oligonucleotides and catalysis efficiency

Combinatorial processes have been widely applied to many disciplines in chemistry and biology. The vast numbers of unique entities generated by combinatorial synthesis have led to the development of high-throughput methods for characterizing samples, to avoid bottlenecks created by the application of conventional, serial-based analytical techniques. In recent years, high-throughput and novel methods utilizing mass spectrometry, multiplexed capillary electrophoresis, various forms of optical detection, and even sound waves have been investigated for a variety of applications.     

A holistic high-throughput screening framework for biofuel feedstock assessment that characterises variations in soluble sugars and cell wall composition in <Emphasis Type="Italic">Sorghum bicolor</Emphasis>

Background

A major hindrance to the development of high yielding biofuel feedstocks is the ability to rapidly assess large populations for fermentable sugar yields. Whilst recent advances have outlined methods for the rapid assessment of biomass saccharification efficiency, none take into account the total biomass, or the soluble sugar fraction of the plant. Here we present a holistic high-throughput methodology for assessing sweet Sorghum bicolor feedstocks at 10 days post-anthesis for total fermentable sugar yields including stalk biomass, soluble sugar concentrations, and cell wall saccharification efficiency.

Results

A mathematical method for assessing whole S. bicolor stalks using the fourth internode from the base of the plant proved to be an effective high-throughput strategy for assessing stalk biomass, soluble sugar concentrations, and cell wall composition and allowed calculation of total stalk fermentable sugars. A high-throughput method for measuring soluble sucrose, glucose, and fructose using partial least squares (PLS) modelling of juice Fourier transform infrared (FTIR) spectra was developed. The PLS prediction was shown to be highly accurate with each sugar attaining a coefficient of determination (R ² ) of 0.99 with a root mean squared error of prediction (RMSEP) of 11.93, 5.52, and 3.23 mM for sucrose, glucose, and fructose, respectively, which constitutes an error of <4% in each case. The sugar PLS model correlated well with gas chromatography–mass spectrometry (GC-MS) and brix measures. Similarly, a high-throughput method for predicting enzymatic cell wall digestibility using PLS modelling of FTIR spectra obtained from S. bicolor bagasse was developed. The PLS prediction was shown to be accurate with an R ² of 0.94 and RMSEP of 0.64 μg.mgDW^-1.h^-1.

Conclusions

This methodology has been demonstrated as an efficient and effective way to screen large biofuel feedstock populations for biomass, soluble sugar concentrations, and cell wall digestibility simultaneously allowing a total fermentable yield calculation. It unifies and simplifies previous screening methodologies to produce a holistic assessment of biofuel feedstock potential.