Prior Extraction Research Articles

Ultralow Sample Volume Cupric Sulfate Oxidation Method for the Analysis of Dissolved Lignin.

A novel cupric sulfate (CuSO4) oxidation method was developed to enable the analysis of dissolved lignin phenols in small volumes of open ocean seawater (<200 mL for deep ocean) or river water (<17 mL) samples. Dissolved lignin phenols were isolated by automated reversed-phase (octadecyl) extraction from seawater before oxidation, whereas for freshwater samples, oxidation was performed without prior extraction. Optimized reaction conditions using alkaline CuSO4 at 150 °C effectively limited losses of lignin phenols and suppressed side reactions at 5-100 μg of sample organic carbon. The method yielded up to ∼33% higher lignin phenol concentrations and 24-36% lower acid/aldehyde ratios of lignin phenols than existing CuO oxidation methods. The microscale design (200 μL reaction volume) resulted in extremely low blanks allowing accurate and precise quantification of lignin phenols. A comparison of silica-based octadecyl-bonded sorbents (C18) with copolymer-type sorbents (PPL) indicated that sorbent type affected concentrations and diagnostic ratios of dissolved lignin phenols. For robust intercomparability of measured lignin phenol concentrations and in consideration of method detection limits for quantification, a constant sample organic carbon content of ∼30 μg C and the addition of 150 μg ascorbic acid-C are recommended. Small sample volumes avoid time-consuming extraction steps in the field, and the simplified oxidation and sample processing procedures make the new method ideal for high-throughput analysis of dissolved lignin phenols in marine and freshwater environments.

Mixed-mode SPE followed by GC-MS analysis to determine water soluble organic compounds in aerosol and historical mortars affected by marine atmosphere: The case of Punta Begoña Galleries (Getxo, North of Spain)

This work describes the development of an analytical procedure for the determination of short chain dicarboxylic acids (C2-C10) both in aqueous and solid matrices such as aerosols and mortars. The developed and validated methodology was based on the preconcentration of compounds by means of mixed-mode solid phase extraction and gas chromatography-mass spectrometry, regardless the analyzed samples. In the case of solid samples, a prior extraction of target compounds using ultrasonic probe-assisted solid-liquid extraction was required. In general terms, the developed procedure rendered good results in terms of accuracy (apparent recoveries in the range 90–130% and 86–98% for marine aerosol and mortar samples, respectively) and repeatability (%RSD < 25%) except for those compounds interacting more strongly with the solid matrix and being more reactive. The method was applied to detect dicarboxylic acids in marine aerosol water samples and in mortars of a 20th century historical building (Punta Begoña Galleries, Getxo) located in a coastal environment (Biscay Gulf, Basque Country, Northern Spain) with industrial activity. According to the results, harbor activities may have effect on the concentrations of dicarboxylic acids found in both matrices since the façade of the building exposed to the industrial harbor (southwest orientation) appears to be more contaminated than the one oriented to the northwest.

Radiological Evaluation of the Dimensions of Lower Molar Alveoli.

The aim of the present radiological study was to analyze the alveolar bone morphology of the lower molars in physiological conditions. The main goal is to describe the bone anatomy of a hypothetically postextractive site in lower molar area. Computed tomography scans of 100 patients were examined. Axial, paraxial, and Panorex sections were analyzed using a dedicated software. Precise reference points were encoded to make the bone measurements clear and repeatable. The total number of dental sites examined was 235. The mean available bone height was 13.32 ± 3.23 mm in first molars and 11.76 ± 2.82 mm in second molars. The inter-radicular septum was present in 86% out of cases in first molar sites and in 52% in second molar sites. The lingual cortex mean width, at the most coronal point, measured 1.41 ± 0.52 mm in first molar alveoli and 1.67 ± 0.66 mm in second molar alveoli. Proper clinical conditions, for scheduling a postextraction immediate implant placement surgery, involve the presence of 4 bone walls showing and sufficient height and width. The accurate knowledge of alveolus bone morphology of mandibular molars, prior extraction, could be an important guide to avoid potential failures due to nonideal anatomical features to fixture stabilization.

Micellar HPLC method for the simultaneous determination of three anticonvulsant drugs in dosage forms and biological fluids. Application to dissolution-rate testing

This work describes a micellar liquid chromatographic method which was developed and validated to determine simultaneously three structurally-related antiepileptic drugs; namely carbamazepine (CMZ), oxcarbazepine (OCZ) and eslicarbazepine acetate (ECZ). The analysis was achieved using a phenyl column (250mm×4.6mm i.d., 5μm particle size), a mobile phase consisting of a mixture of 0.3% triethylamine and 10% n-butanol in a solution of 0.05M sodium dodecyl sulphate adjusted to pH 7.0 using 0.02M orthophosphoric acid. The mobile phase was pumped at a flow rate of 1.5mLmin-1 and detection was adjusted at 215nm. The method showed good linearity (r2>0.998) over the concentration ranges of 0.1-10 for CMZ and OCZ and 0.2-20μgmL-1 for ECZ. The suggested method was successfully applied for the analysis of the studied drugs in their dosage forms and for the determination of CMZ and OCZ in spiked human urine and plasma without prior extraction. The proposed method was further extended to the analysis of real samples of plasma and urine of volunteers receiving therapy of CMZ and OCZ. Furthermore, the method was successfully applied to tablets dissolution-rate testing, and the results were satisfactory.

Chimerism Analysis in the Pediatric Setting: Direct PCR from Bone Marrow, Whole Blood, and Cell Fractions

Certain blood components and anticoagulants interfere with the PCR process and subsequent analysis. Here we demonstrate that reliable test results can be obtained for chimerism analysis despite omitting a DNA-extraction step and performing PCR and fragment analysis directly on bone marrow, whole blood, and individual cell fractions. For chimerism analysis, direct-tissue PCR is possible with the use of a robust, commercially available PCR mix containing a DNA polymerase capable of DNA amplification directly from the sample without the need for pretreatment. A total of 178 chimerism samples were processed directly, and results were compared to those obtained from the corresponding DNA sample. No differences were observed between the two sets of results. For the cell fraction-purity assessment, commercially available PCR kitswere used directly on T and B cells without the use of any additional lysing agent. A total of 53 purity samples and their corresponding DNA samples were analyzed and showed a correlation similar to thatobtained for the chimerism samples. The results show that chimerism testing and associated cell fraction-purity assessment can be performed reliably without the need for prior DNA extraction andthatthis method can easily be integrated into existing routine laboratory procedures.

The use of panoramic radiographs to decide when interceptive extraction is beneficial in children with palatally displaced canines based on a randomized clinical trial.

To evaluate which palatally displaced canines (PDCs) benefit from interceptive extraction of the deciduous canine, to assess possible side effects from the extraction, and to analyse other dental deviations in patients with PDCs. A sample of 67 patients (40 girls, mean age: 11.3 ± 1.1; 27 boys, mean age ± SD: 11.4 ± 0.9) with unilateral (45) or bilateral (22) PDCs were consecutively recruited and randomly allocated to extraction or non-extraction using block randomization. No patients dropped out after randomization or during the study. The patients were given a clinical examination and panoramic radiographs were taken at baseline and after 6 (T1) and 12 months (T2). An individual therapy plan was made for the PDCs that had not erupted at T2. Measurements were performed blindly and the outcome measures were: canine position and angulation, root development, midline shift, rotation, or movement of adjacent teeth into the extraction site, and frequency of other dental deviations. Interceptive deciduous canine extraction is beneficial if the alpha angle is between 20 and 30 degrees. A PDC located in sector 4 with an alpha angle >30 degrees should have immediate surgical exposure, while canines angulated less than 20 degrees and located in sector 2 can be observed without prior interceptive extraction. Deciduous canine extraction was more beneficial in younger patients with less advanced root development. Minor side effects, such as rotation or migration of teeth into the extraction space, were observed in 15 out of 35 patients. A majority of the patients had other dental deviations than PDC in the dentition. The results are only valid for patients with no space deficiency in the maxilla and with PDCs located in sector 2-4. No harms were detected. The alpha angle and sector position are good diagnostic predictors of when interceptive extraction is beneficial. Minor side effects are seen after the extraction and the majority of the patients had other dental deviations too. This trial was registered at http://www.fou.nu/is/sverige, registration number: 211141.

Quantitative and multiplex microRNA assays from unprocessed cells in isolated nanoliter well arrays.

MicroRNAs (miRNAs) have recently emerged as promising biomarkers for the profiling of diseases. Translation of miRNA biomarkers to clinical practice, however, remains a challenge due to the lack of analysis platforms for sensitive, quantitative, and multiplex miRNA assays that have simple and robust workflows suitable for translation. The platform we present here utilizes functionalized hydrogel posts contained within isolated nanoliter well reactors for quantitative and multiplex assays directly from unprocessed cell samples without the need of prior nucleic acid extraction. Simultaneous reactor isolation and delivery of miRNA extraction reagents is achieved by sealing an array of wells containing the functionalized hydrogel posts and cells against another array of wells containing lysis and extraction reagents. The nanoliter well array platform features >100× better sensitivity compared to previous technology utilizing hydrogel particles without relying on signal amplification and enables >100 parallel assays in a single device. These advances provided by this platform lay the groundwork for translatable and robust analysis technologies for miRNA expression profiling in samples with small populations of cells and in precious, material-limited samples.

Development of a dry-reagent mix-based polymerase chain reaction as a novel tool for the identification of Acinetobacter species and its comparison with conventional polymerase chain reaction.

BACKGROUND:Nosocomial infections are often caused by multidrug-resistant bacteria and the incidence is increasing. Acinetobacter, a Gram-negative bacillus, is commonly associated with the use of intravascular catheterization and airway intubation. Polymerase chain reaction (PCR) for identification of Acinetobacter baumannii from samples has been standardized that use conventional wet-reagent mix. We have designed and optimized a dry-reagent mix for identification of Acinetobacter species by PCR. The dry-reagent mix can be stored at room temperature, has less chances of contamination, and thus can be used at point-of-care diagnosis.AIM AND OBJECTIVE:The present work was focused on comparing the sensitivity and specificity of dry-reagent PCR mix over conventional wet-reagent PCR mix for identification of Acinetobacter species.MATERIALS AND METHODS:Conventional wet-reagent mix based and dry-reagent mix based PCR were carried out for the DNA isolated from Acinetobacter species. The latter was also applied directly on bacterial growth without prior DNA extraction process. Equal numbers of bacterial isolates other than Acinetobacter species were also subjected to identification by the same protocols for determining the sensitivity and specificity of the test.RESULTS:The Acinetobacter species showed amplification of the target rpoB gene and the band was observed at 397 bp. The dry-reagent PCR mix results matched completely with the conventional wet-reagent PCR mix assay. All the non-Acinetobacter isolates were negative for the PCR. This indicates that the test is highly specific. The dry-reagent mix also contained an enzyme resistant to PCR inhibitors and capable of amplifying DNA directly from cells.CONCLUSION:Performance of dry-reagent PCR mix without the need for DNA extraction and preparation of a PCR mix proved to be more sensitive and reduce the handling error, minimizes the time, manual work, and skilled labor.

Two-Stage Approach to Image Classification by Deep Neural Networks

The paper demonstrates the advantages of the deep learning networks over the ordinary neural networks on their comparative applications to image classifying. An autoassociative neural network is used as a standalone autoencoder for prior extraction of the most informative features of the input data for neural networks to be compared further as classifiers. The main efforts to deal with deep learning networks are spent for a quite painstaking work of optimizing the structures of those networks and their components, as activation functions, weights, as well as the procedures of minimizing their loss function to improve their performances and speed up their learning time. It is also shown that the deep autoencoders develop the remarkable ability for denoising images after being specially trained. Convolutional Neural Networks are also used to solve a quite actual problem of protein genetics on the example of the durum wheat classification. Results of our comparative study demonstrate the undoubted advantage of the deep networks, as well as the denoising power of the autoencoders. In our work we use both GPU and cloud services to speed up the calculations.

Simultaneous determination of naltrexone and bupropion in their co-formulated tablet utilizing green chromatographic approach with application to human urine

A rapid, simple and accurate micellar HPLC-method was adopted and validated for concurrent quantification of naltrexone hydrochloride (NTX) and bupropion hydrochloride (BUP). The proposed method was conducted on RP-18 LiChrosorb® column (150 mm × 4.6 mm i.d. 5-µm particle size) at 25 °C, as a stationary phase and a mixture of 0.175 M sodium dodecyl sulphate (SDS), 0.3% triethanolamine (TEA) and 12% n-propanol in 0.02 M ortho (o)-phosphoric acid of pH 3.5 as a developing system. It was pumped at a flow rate of 1.2 mL/min, with ultraviolet detection at 210 nm. The linearity ranges were 0.5–15.0 µg/mL and 1.2–18.0 µg/mL, with detection limits of 0.10 and 0.31 µg/mL and quantification limits of 0.30 and 0.93 µg/mL for NTX and BUP, respectively. The studied drugs were successfully quantified by applying the proposed method in their co-formulated tablet. The cited method was also applied for in-vitro quantification of BUP in spiked human urine without prior extraction.

Antimicrobial and Antifungal Activity of Fabrics Dyed with Viburnum opulus and Onion Skins

Microorganisms such as bacteria and fungi can cause serious health and hygiene problems for this reason, products with antimicrobial activity gains importance day by day. As is known, textile products can also provide a suitable environment for the development of microorganisms. In this context, we aimed to develop textile products which can provide antimicrobial and antifungal effect. For this purpose, woolen fabrics were dyed with onion ( Allium cepa ) skins and juice of gilaburu ( Viburnum opulus) plant fruit in our study. The dyeings were carried out without using of any mordanting agent and no prior extraction of the herbal sources was carried out in other words these natural dye sources (onion skins and juice of Viburnum opulus plant fruit) were directly added to the dye bath. Samples after dyeing with these natural dye sources were tested in terms of antimicrobial activity using two bacteria ( Escherichia coli , Enterobacter aeroginosa) and a yeast strain ( Candida albicans ). Meanwhile the dyed samples were also investigated in terms of obtained colors. For this purpose, color measurement of the dyed samples has been managed and color efficiencies and color values has been collected. After the evaluation of the results, it was observed that onion ( Allium cepa ) skin and gilaburu ( Viburnum opulus ) fruit juice had an antimicrobial effect. While the dyed fabric with Viburnum opulus juice showed higher activity on bacterial strains, the onion skin had a higher effect on the yeast. Viburnum opulus provided the highest activity on E. coli , whereas onion skins showed the highest activity on C. albicans . Meanwhile it was observed that different colors can be obtained with the use of these tested natural dye sources.

Role of MR Neurography for the Diagnosis of Peripheral Trigeminal Nerve Injuries in Patients with Prior Molar Tooth Extraction.

Clinical neurosensory testing is an imperfect reference standard to evaluate molar tooth extraction related peripheral trigeminal neuropathy. The purpose was to evaluate the diagnostic accuracy of MR neurography in this domain and correlation with neurosensory testing and surgery. In this retrospective study, nerve caliber, T2 signal intensity ratio, and contrast-to-noise ratios were recorded by 2 observers using MR neurography for bilateral branches of the peripheral trigeminal nerve, the inferior alveolar and lingual nerves. Patient demographics and correlation of the MR neurography findings with the Sunderland classification of nerve injury and intraoperative findings of surgical patients were obtained. Among 42 patients, the mean ± SD age for case and control patients were 35.8 ± 10.2 years and 43.2 ± 11.5 years, respectively, with male-to-female ratios of 1:1.4 and 1:5, respectively. Case subjects (peripheral trigeminal neuropathy or injury) had significantly larger differences in nerve thickness, T2 signal intensity ratio, and contrast-to-noise ratios than control patients for the inferior alveolar nerve and lingual nerve (P = .01 and .0001, .012 and .005, and .01 and .01, respectively). Receiver operating characteristic analysis showed a significant association among differences in nerve thickness, T2 signal intensity ratio, and contrast-to-noise ratios and nerve injury (area under the curve, 0.83-0.84 for the inferior alveolar nerve and 0.77-0.78 for the lingual nerve). Interobserver agreement was good for the inferior alveolar nerve (intraclass correlation coefficient, 0.70-0.79) and good to excellent for the lingual nerve (intraclass correlation coefficient, 0.75-0.85). MR neurography correlations with respect to clinical neurosensory testing and surgical classifications were moderate to good. Pearson correlation coefficients of 0.68 and 0.81 and κ of 0.60 and 0.77 were observed for differences in nerve thickness. MR neurography can be reliably used for the diagnosis of injuries to the peripheral trigeminal nerve related to molar tooth extractions, with good to excellent correlation of imaging with clinical findings and surgical results.

Grassland habitat restoration: lessons learnt from long term monitoring of Swanworth Quarry, UK, 1997-2014.

Habitat restoration projects are often conducted when prior use or extraction of natural resources results in land degradation. The success of restoration programmes, however, is variable, and studies that provide evidence of long term outcomes are valuable for evaluation purposes. This study focused on the restoration of vegetation within a limestone quarry in Dorset, UK between 1997 and 2014. Using a randomised block design, the effect of seed mix and seed rate on the development of community assemblage was investigated in comparison to a nearby target calcareous grassland site. We hypothesised that seed mix composition and sowing rate would influence both the trajectory of the grassland assemblage and final community composition. We found that species composition (in relation to both richness and community assemblage) was strongly influenced by time and to some extent by seed rate and seed mix. However, no treatments achieved strong resemblance to the calcareous grassland target vegetation; rather they resembled mesotrophic communities. We conclude that (as with previous studies) there is no “quick fix” for the establishment of a grassland community; long-term monitoring provides useful information on the trajectory of community development; sowing gets you something (in our case mesotrophic grassland), but, it may not be the target vegetation (e.g., calcicolous grassland) you want that is difficult to establish and regenerate; it is important to sow a diverse mix as subsequent recruitment opportunities are probably limited; post-establishment management should be explored further and carefully considered as part of a restoration project.

Aircraft Reconstruction in High-Resolution SAR Images Using Deep Shape Prior

Contour shapes are important features. An accurate contour shape of a target can provide important prior information for applications, such as target recognition, which can improve the accuracy of target interpretation. In this paper, a synthetic aperture radar (SAR) target reconstruction method is proposed, which can be used to reconstruct the target by using shape priors to perform an accurate extraction of the contour shape feature. The method is divided into two stages. In the deep shape prior extraction stage, a generative deep learning modelling method is used to obtain deep shape priors. In the reconstruction stage, a novel coarse-to-fine pose estimation method combined with an optimization algorithm is proposed, which integrates deep shape priors into the process of reconstruction. Specifically, to address the issue of object rotation, candidate poses are obtained using the coarse pose estimation method, which avoids an exhaustive search of each pose. In addition, an energy function composed of a scattering term and shape term to combine the fine pose estimation, is constructed and optimized via an iterative optimization algorithm to achieve the goal of object reconstruction. To the best of our knowledge, this is the first time shape priors have been used to extract shape features of SAR targets. Experiments are conducted on a data set acquired by TerraSAR-X images and the results demonstrate the high accuracy and robustness of the proposed method.

Denosumab‐related osteonecrosis of the jaw: A retrospective study

Osteonecrosis of the jaw is a very delicate side effect of Denosumab. The aim of this retrospective study was to assess the occurrence rate of Denosumab-related osteonecrosis of the jaw (DRONJ) at the Cancer Institute of Lorraine (ICL) and to highlight necrosis risk factors. To that purpose, we analyzed the medical records of 249 consecutive patients treated with Denosumab at the ICL during the past 5 years. Patients who received orofacial radiotherapy or a previous treatment with a bisphosphonate were excluded. The P-value was set at .005. A total of 141 patients treated at the ICL between January 2010 and December 2015 were included. All patients were treated with XGEVA® . Of the 141 patients included in the study, 10 developed DRONJ. The incidence of DRONJ increases with the duration of follow-up as follows: 3% at 1 year, 7% at 2 years, and 8% from 30 months on. No risk factor for necrosis could be identified except the realization of prior dental extraction (P = .025). Our results raise important questions about the dental management of these patients, in particular, concerning the healing period between dental extractions and the initiation of Denosumab.

Automated early detection of drops in commercial egg production using neural networks

ABSTRACT1. The purpose of this work was to support decision-making in poultry farms by performing automatic early detection of anomalies in egg production.2. Unprocessed data were collected from a commercial egg farm on a daily basis over 7 years. Records from a total of 24 flocks, each with approximately 20 000 laying hens, were studied.3. Other similar works have required a prior feature extraction by a poultry expert, and this method is dependent on time and expert knowledge.4. The present approach reduces the dependency on time and expert knowledge because of the automatic selection of relevant features and the use of artificial neural networks capable of cost-sensitive learning.5. The optimum configuration of features and parameters in the proposed model was evaluated on unseen test data obtained by a repeated cross-validation technique.6. The accuracy, sensitivity, specificity and positive predictive value are presented and discussed at 5 forecasting intervals. The accuracy of the proposed model was 0.9896 for the day before a problem occurs.

Petrogenesis of the Early Palaeozoic granitoids from the Yunkai massif, South China block: implications for a tectonic transition from compression to extension during the Caledonian orogenic event

AbstractA comprehensive geochronological and geochemical study was carried out on the gneissic monzogranites, porphyritic granodiorites and charnockites in the Gaozhou complex of the Yunkai massif in the southern part of the South China block to better understand the Early Palaeozoic tectonic regime of the South China block. Laser ablation – inductively coupled plasma – mass spectrometry (LA-ICP-MS) U–Pb dating of zircons indicates an age of 453.2 ± 5.1 Ma to the formation of the gneissic monzogranites, whereas the porphyritic granodiorites and charnockites were generated at 437.0 ± 1.5 Ma and 435.2 ± 2.2 Ma, respectively. The gneissic monzogranites show geochemical features consistent with the high-K, calc-alkaline rock series and are strongly peraluminous. They have SiO2contents ranging from 67.75 to 69.65 wt. % and relatively low CaO contents (1.66–1.94 wt. %). Their REE patterns are fractionated with enriched LREEs and negative Eu anomalies. The samples also show enrichment in LILEs (e.g. Rb and K) and Pb, and depletion in Sr, Ba and HFSEs (e.g. Nb, Ta, Ti and P). They haveεNd(t) values of −8.2 to −7.7. Conversely, the porphyritic granodiorites and charnockites are characterized as medium-K, calc-alkaline rock series and weakly to strongly peraluminous. They exhibit pronounced depletions in HFSEs and positive Pb anomalies. Compared to the earlier gneissic monzogranites, these rocks have relatively lower SiO2(65.50–69.36 wt. %), but higher CaO contents (3.34–4.05 wt. %), and have slightly lowerεNd(t) values (−9.1 to −8.4). Petrography and geochemical compositions of the gneissic monzogranites indicate that they are S-type granite and likely formed by partial melting of Neoproterozoic to Early Palaeozoic immature metagreywackes; whereas The porphyritic granodiorites and charnockites are A-type granite and likely derived from low degrees of partial melting of the dry, granulitic residue depleted by prior extraction of granitic melt. The new data for the Caledonian granitoids in the Yunkai massif suggest that they were formed in a post-collisional tectonic setting. They represent the earliest post-collisional alkaline magmatism reported so far in the Yunkai massif, and thus indicate a tectonic regime switch, from compression to extension, as early as the Late Ordovician to Early Silurian (~450–435 Ma).

Concurrent computation of topological watershed on shared memory parallel machines

Abstract The watershed transform is considered as the most appropriate method for image segmentation in the field of mathematical morphology. In the following paper, we present an adapted topological watershed algorithm suited for a rapid and effective implementation on Shared Memory Parallel Machine (SMPM). The introduced algorithm allows a parallel watershed computing while preserving the given topology. No prior minima extraction is needed, nor the use of any sorting step or hierarchical queue. The strategy that guides the parallel watershed computing, labeled SDM-Strategy (equivalent to Split-Distributes and Merge), is also presented. Experimental analyses such as execution time, performance enhancement, cache consumption, efficiency and scalability are also presented and discussed.

VMP1-related autophagy induced by fructose rich diet in ß-cells: Its prevention by incretins

The watershed transform is considered as the most appropriate method for image segmentation in the field of mathematical morphology. In the following paper, we present an adapted topological watershed algorithm suited for a rapid and effective implementation on Shared Memory Parallel Machine (SMPM). The introduced algorithm allows a parallel watershed computing while preserving the given topology. No prior minima extraction is needed, nor the use of any sorting step or hierarchical queue. The strategy that guides the parallel watershed computing, labeled SDM-Strategy (equivalent to Split-Distributes and Merge), is also presented. Experimental analyses such as execution time, performance enhancement, cache consumption, efficiency and scalability are also presented and discussed.

Robust Facial Expression Recognition with Low-Rank Sparse Error Dictionary Based Probabilistic Collaborative Representation Classification

The performance of facial expression recognition (FER) would be degraded due to some factors such as individual differences, Gaussian random noise and so on. Prior feature extraction methods like Local Binary Patterns (LBP) and Gabor filters require explicit expression components, which are always unavailable and difficult to obtain. To make the facial expression recognition (FER) more robust, we propose a novel FER approach based on low-rank sparse error dictionary (LRSE) to remit the side-effect caused by the problems above. Then the query samples can be represented and classified by a probabilistic collaborative representation based classifier (ProCRC), which exploits the maximum likelihood that the query sample belonging to the collaborative subspace of all classes can be better computed. The final classification is performed by seeking which class has the maximum probability. The proposed approach which exploits ProCRC associated with the LRSE features (LRSE ProCRC) for robust FER reaches higher average accuracies on the different databases (i.e., 79.39% on KDEF database, 89.54% on CAS-PEAL database, 84.45% on CK+ database etc.). In addition, our method also leads to state-of-the-art classification results from the aspect of feature extraction methods, training samples, Gaussian noise variances and classification based methods on benchmark databases.