Displaying publications 181 - 200 of 271 in total

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  1. Nayeri ND, Goudarzian AH, Herth K, Naghavi N, Nia HS, Yaghoobzadeh A, et al.
    Int J Health Sci (Qassim), 2020 9 22;14(5):50-57.
    PMID: 32952505
    Objective: The psychological construct of hope is an important determinant for mental health and well-being. The availability of valid and reliable instruments to measure hope is, therefore, critical. Despite a large number of psychometric studies on the Herth Hope Index (HHI), its construct validity has not yet been determined. Therefore, this paper aimed to conduct a systematic review of the psychometric properties of the HHI.

    Methods: Databases such as PubMed, Science Direct, Google Scholar, Magiran, SID, IranDoc, and IranMedex were evaluated systematically using the terms "HHI," "psychometric," "validity," "reliability," and related terms (with the use of OR and AND operators) and no restrictions on the year of publication. A total of 13 eligible studies were found published between 1992 and 2018 in the USA, Portugal, Switzerland, Iran, Germany, Petersburg, Japan, the Netherlands, Lima, Peru, and Norway. The methodology used in the available studies included principal component analysis (n = 6), maximum likelihood estimation (n = 5), and principal axis factoring (n = 1). One study did not point the methodology.

    Results: Four studies reported the total extracted variances to be less than 50%, six studies reported variance between 50% and 60%, and three papers reported variance that exceeded 60%. Of the papers that examined the factor structure of the HHI, two studies reported a one-factor solution, seven reported two factors, and four reported a three-factor solution. Although the HHI is the most widely translated and psychometrically tested tool in languages other than English, psychometric variations in factor solutions remain inconsistent.

    Conclusion: Findings highlight the need for future research that appraises the validity of the HHI in different countries, and how the measure relates to other scales that evaluate hope.

    Matched MeSH terms: Principal Component Analysis
  2. Nasyrah, A.R., Marikkar, J.M.N., Dzulkifly, M.H.
    MyJurnal
    A study was carried out to distinguish mono- (MAG) and di-acylglycerol (DAG) from plant lipids such as sunflower, rapeseed and soybean oil, from those derived from animal fats such as lard, goat fat and beef fat using fatty acid and thermal profile data. MAG and DAG of both plant and animal lipids were synthesized according to a chemical glycerolysis method catalyzed by sodium hydroxide. MAG and DAG of individual lipid were isolated and purified using the standard column chromatography method and subjected to fatty acid analysis by gas chromatography (GC) and thermal analysis by differential scanning calorimetry (DSC). The application of principal component analysis (PCA) to the data collected from the individual instrumental technique showed that it was possible to distinctly classify MAG and DAG of plant lipids from those derived from animal fats.
    Matched MeSH terms: Principal Component Analysis
  3. Ismail A, Toriman ME, Juahir H, Kassim AM, Zain SM, Ahmad WKW, et al.
    Mar Pollut Bull, 2016 Oct 15;111(1-2):339-346.
    PMID: 27397593 DOI: 10.1016/j.marpolbul.2016.06.089
    Extended use of GC-FID and GC-MS in oil spill fingerprinting and matching is significantly important for oil classification from the oil spill sources collected from various areas of Peninsular Malaysia and Sabah (East Malaysia). Oil spill fingerprinting from GC-FID and GC-MS coupled with chemometric techniques (discriminant analysis and principal component analysis) is used as a diagnostic tool to classify the types of oil polluting the water. Clustering and discrimination of oil spill compounds in the water from the actual site of oil spill events are divided into four groups viz. diesel, Heavy Fuel Oil (HFO), Mixture Oil containing Light Fuel Oil (MOLFO) and Waste Oil (WO) according to the similarity of their intrinsic chemical properties. Principal component analysis (PCA) demonstrates that diesel, HFO, MOLFO and WO are types of oil or oil products from complex oil mixtures with a total variance of 85.34% and are identified with various anthropogenic activities related to either intentional releasing of oil or accidental discharge of oil into the environment. Our results show that the use of chemometric techniques is significant in providing independent validation for classifying the types of spilled oil in the investigation of oil spill pollution in Malaysia. This, in consequence would result in cost and time saving in identification of the oil spill sources.
    Matched MeSH terms: Principal Component Analysis
  4. Mohammad Rahim, K., Nadiah Syariani, M.S., Azizah, O., Geshina Ayu, M.S.
    MyJurnal
    Introduction: Cognitive distortion seems to be a potential force in shaping criminals and antisocial behaviour within an individual. Unfortunately there is no valid Malay psychometric instrument available to measure cognitive distortion in Malaysian settings, especially in prisons. There is an urgent need to have a valid and reliable Malay psychometric instrument to assess the cognitive distortion among Malaysians. Therefore, the present study aimed to validate “How I Think” Questionnaire into the Malay language (henceforth, HIT-M). Methods: A cross-sectional study was conducted among inmates (n= 150) incarcerated within two prisons in Peninsular Malaysia. The validation study commenced with Forward-Backward translations and was followed by content and face validities. Later, construct validity was
    performed via Exploratory Factor Analysis using Principal Component Analysis. Varimax rotation was applied in order to optimize the factor loadings on the extracted component. Finally, reliability testing was
    performed to determine the internal consistency of the items which was done using Cronbach Alpha coefficient method (α). Findings: Initial factor loadings resulted in 11 factors with a total variance of 74.1%. Next, factor analysis was repeated by extracting the items into a four factor structure parallel to the theoretical construct. Items with factor loadings above 0.40 were retained as acceptable factor loadings. After considering factor loadings, item correlation and content of items, the final version of HIT-M consisted of 24 items. The internal consistency of HIT-M was 0.90 which was considered good. Conclusion: HIT-M is a valid and reliable psychometric instrument to measure and assess cognitive distortion among Malaysians.
    Matched MeSH terms: Principal Component Analysis
  5. Maulidiani M, Mediani A, Abas F, Park YS, Park YK, Kim YM, et al.
    Talanta, 2018 Jul 01;184:277-286.
    PMID: 29674043 DOI: 10.1016/j.talanta.2018.02.084
    Persimmon (Diospyros kaki L.) is one of the most important fruits that has been consumed for its medicinal properties due to the presence of some active metabolites, particularly polyphenols and carotenoids. Previously described methods, including HPLC, were limited in the determination of metabolites in different persimmon varieties. The present study shows the evaluation and the differences among persimmon polar and non-polar extracts by 1H NMR-based metabolomics approach. The hierarchical clustering analysis (HCA) based on score values of principal component analysis (PCA) model was used to analyze the important compounds in investigated fruits. The 1H NMR spectrum of persimmon chloroform (CDCl3) extracts showed different types of compounds as compared to polar methanol-water (CD3OD-D2O) ones. Persimmons growing in Israel were clustered different from those growing in Korea with the abundance of phenolic compounds (gallic, caffeic and protocathecuic acids), carotenoids (β-cryptoxanthin, lutein, and zeaxanthin), amino acids (alanine), maltose, uridine, and fatty acids (myristic and palmitoleic acids). Glucose, choline and formic acid were more prominent in persimmon growing in Korea. In CD3OD-D2O and CDCl3 persimmon extracts, 43 metabolites were identified. The metabolic differences were shown as well on the results of bioactivities and antioxidant capacities determined by ABTS, FRAP, CUPRAC and DPPH assays. The presented methods can be widely used for quantitation of multiple compounds in many plant and biological samples especially in vegetables and fruits.
    Matched MeSH terms: Principal Component Analysis
  6. Shahfiza N, Osman H, Hock TT, Abdel-Hamid AZ
    Acta Biochim. Pol., 2017;64(2):215-219.
    PMID: 28350402 DOI: 10.18388/abp.2015_1224
    BACKGROUND: Dengue is one of the major public health problems in the world, affecting more than fifty million cases in tropical and subtropical region every year. The metabolome, as pathophysiological end-points, provide significant understanding of the mechanism and progression of dengue pathogenesis via changes in the metabolite profile of infected patients. Recent developments in diagnostic technologies provide metabolomics for the early detection of infectious diseases.

    METHODS: The mid-stream urine was collected from 96 patients diagnosed with dengue fever at Penang General Hospital (PGH) and 50 healthy volunteers. Urine samples were analyzed with proton nuclear magnetic resonance (1H NMR) spectroscopy, followed by chemometric multivariate analysis. NMR signals highlighted in the orthogonal partial least square-discriminant analysis (OPLS-DA) S-plots were selected and identified using Human Metabolome Database (HMDB) and Chenomx Profiler. A highly predictive model was constructed from urine profile of dengue infected patients versus healthy individuals with the total R2Y (cum) value 0.935, and the total Q2Y (cum) value 0.832.

    RESULTS: Data showed that dengue infection is related to amino acid metabolism, tricarboxylic acid intermediates cycle and β-oxidation of fatty acids. Distinct variations in certain metabolites were recorded in infected patients including amino acids, various organic acids, betaine, valerylglycine, myo-inositol and glycine.

    CONCLUSION: Metabolomics approach provides essential insight into host metabolic disturbances following dengue infection.

    Matched MeSH terms: Principal Component Analysis
  7. Goh SG, Bayen S, Burger D, Kelly BC, Han P, Babovic V, et al.
    Mar Pollut Bull, 2017 Jan 15;114(1):627-634.
    PMID: 27712861 DOI: 10.1016/j.marpolbul.2016.09.036
    Water quality in Singapore's coastal area was evaluated with microbial indicators, pathogenic vibrios, chemical tracers and physico-chemical parameters. Sampling sites were grouped into two clusters (coastal sites at (i) northern and (ii) southern part of Singapore). The coastal sites located at northern part of Singapore along the Johor Straits exhibited greater pollution. Principal component analysis revealed that sampling sites at Johor Straits have greater loading on carbamazepine, while turbidity poses greater influence on sampling sites at Singapore Straits. Detection of pathogenic vibrios was also more prominent at Johor Straits than the Singapore Straits. This study examined the spatial variations in Singapore's coastal water quality and provided the baseline information for health risk assessment and future pollution management.
    Matched MeSH terms: Principal Component Analysis
  8. Zakaria SR, Saim N, Osman R, Abdul Haiyee Z, Juahir H
    Molecules, 2018 Sep 16;23(9).
    PMID: 30223605 DOI: 10.3390/molecules23092365
    This study analyzed the volatile organic compounds (VOCs) of three mango varieties (Harumanis, Tong Dam and Susu) for the discrimination of authentic Harumanis from other mangoes. The VOCs of these mangoes were extracted and analysed nondestructively using Head Space-Solid Phase Micro Extraction (HS-SPME) coupled to Gas Chromatography-Mass Spectrometry (GC-MS). Prior to the analytical method, two simple sensory analyses were carried out to assess the ability of the consumers to differentiate between the Harumanis and Tong Dam mangoes as well as their preferences towards these mangoes. On the other hand, chemometrics techniques, such as principal components analysis (PCA), hierarchical clustering analysis (HCA), and discriminant analysis (DA), were used to visualise grouping tendencies of the volatile compounds detected. These techniques were successful in identifying the grouping tendencies of the mango samples according to the presence of their respective volatile compounds, thus enabling the identification of the groups of substances responsible for the discrimination between the authentic and unauthentic Harumanis mangoes. In addition, three ocimene compounds, namely beta-ocimene, trans beta-ocimene, and allo-ocimene, can be considered as chemical markers of the Harumanis mango, as these compounds exist in all Harumanis mango, regardless the different sources of the mangoes obtained.
    Matched MeSH terms: Principal Component Analysis
  9. Chaw S, Lo Y, Shariffuddin II, Wong J, Lee J, Leong DW, et al.
    Paediatr Anaesth, 2019 01;29(1):68-76.
    PMID: 30381868 DOI: 10.1111/pan.13528
    BACKGROUND: Effective pain management involves a cycle of continual pain assessment, good pain control strategies, and assessment of a standard quality improvement measures. A validated questionnaire that focuses on the quality of postoperative pain management in pediatric surgical patients and parental satisfaction on pain treatment is lacking. We, therefore, modified the revised American Pain Society Patient Outcome Questionnaire to evaluate the quality of postoperative pain management in a pediatric surgical setting. The primary aim of this study was to validate the modified version of revised American Pain Society Patient Outcome Questionnaire.

    METHODS: Parents whose children aged below 12 years and were scheduled for elective surgery in a teaching hospital, were approached to participate in this survey. The reliability of the modified version of revised American Pain Society Patient Outcome Questionnaire was evaluated using Cronbach's alpha test, while the construct validity was assessed with a principal component analysis using a varimax rotation. The parental satisfaction with pain treatment received was measured.

    RESULTS: A total of 108 parents completed the questionnaire. The internal consistency of the questionnaire shows a Cronbach's alpha of 0.798. Principal component analysis revealed a four-factor structure of the 12 items which explained 69.7% of the total variance. The factors are "Interference of sleep and activity," "Pain severity and drowsiness," "Perception of care," and "Adverse effects," respectively. Our study showed that this questionnaire is a valid and reliable measure for "Interference of sleep and activity" and "Pain severity and drowsiness" factors, but not for "Perception of care" and "Adverse effects." The results for "Perception of care" and "Adverse effects," therefore, should be reported as individual items instead of total score. The parental satisfaction with pain treatment given was good (median 8.0; IQR 3.0).

    CONCLUSION: The modified version of revised American Pain Society Patient Outcome Questionnaire is a feasible and easy instrument to administer. The questionnaire can be used to obtain feedback from parents about the outcomes and experiences of pain management and is helpful in continuous quality evaluation and improvement in the postoperative care in a pediatric setting.

    Matched MeSH terms: Principal Component Analysis
  10. Muhammad Zul Fayyadh Azizo Rahman, Chong, Hui Wen, Lim, Vuanghao
    MyJurnal
    Adulterated premixed coffees have turned into an issue in Malaysia lately and have caught the eye of the authorities due to death reports linked to these products. The major cause of this issue is reported that these premixed coffees have passed food inspection test and eventually released to the market for public consumption. These coffees were claimed to be spiked with several sexual enhancers like sildenafil, tadalafil, and vardenafill, which are common drugs used to treat erectile dysfunction. Methods: Chemometrics approach using UV-Vis spectroscopy was developed to detect the selected sexual enhancer drugs found in commercial coffees by employing SIMCA-P software for the multivariate statistical analysis. Seven brands of coffee samples were purchased from local stores, and 30 sachets each were tested, hence totalling to 210 samples. Each sample was named H, J, G, W, N, T, and K, respectively. Results: Three multivariate models were generated, namely principal component analysis (PCA), orthogonal partial least squares discriminant analysis (OPLS-DA), and partial least squares discriminant analysis (PLS-DA). OPLS-DA was selected as the best model for the overall results as it displayed minimal discriminate. Sildenafil, tadalafil, and vardenafil were detected in sample H, while vardenafil in brand J, and none in samples G, W, N, T, and K. Conclusion: OPLS-DA analysis showed discrimination for the sexual enhancer drugs in two brands of premixed coffee. The UV-Vis spectroscopy-based chemometrics method proved to be reliable and efficient in determining the selected drugs, as well as in saving time and cost.
    Matched MeSH terms: Principal Component Analysis
  11. Wang J, Chen T, Zhang W, Zhao Y, Yang S, Chen A
    Food Chem, 2020 May 30;313:126093.
    PMID: 31927205 DOI: 10.1016/j.foodchem.2019.126093
    Multivariate stable isotope analysis combined with chemometrics was used to investigate and discriminate rice samples from six rice producing provinces in China (Heilongjiang, Jilin, Jiangsu, Zhejiang, Hunan and Guizhou) and four other Asian rice producing countries (Thailand, Malaysia, Philippines, and Pakistan). The stable isotope characteristics were analyzed for rice of different species cultivated with varied farming methods at different altitudes and latitudes/longitudes. The index groups of δ13C, δ15N, δ18O, 207/206Pb and 208/207Pb were screened and established for the selected samples with different geographical features by means of principal component analysis (PCA) and discriminant analysis (DA), which would provide a sound technical solution for rice traceability and serve as a template for further research on the traceability of other agricultural products, especially plant-derived products.
    Matched MeSH terms: Principal Component Analysis
  12. Agbolade O, Nazri A, Yaakob R, Ghani AA, Cheah YK
    PLoS One, 2020;15(4):e0228402.
    PMID: 32271782 DOI: 10.1371/journal.pone.0228402
    BACKGROUND: The application of three-dimensional scan models offers a useful resource for studying craniofacial variation. The complex mathematical analysis for facial point acquisition in three-dimensional models has made many craniofacial assessments laborious.

    METHOD: This study investigates three-dimensional (3D) soft-tissue craniofacial variation, with relation to ethnicity, sex and age variables in British and Irish white Europeans. This utilizes a geometric morphometric approach on a subsampled dataset comprising 292 scans, taken from a Liverpool-York Head Model database. Shape variation and analysis of each variable are tested using 20 anchor anatomical landmarks and 480 sliding semi-landmarks.

    RESULTS: Significant ethnicity, sex, and age differences are observed for measurement covering major aspects of the craniofacial shape. The ethnicity shows subtle significant differences compared to sex and age; even though it presents the lowest classification accuracy. The magnitude of dimorphism in sex is revealed in the facial, nasal and crania measurement. Significant shape differences are also seen at each age group, with some distinct dimorphic features present in the age groups.

    CONCLUSIONS: The patterns of shape variation show that white British individuals have a more rounded head shape, whereas white Irish individuals have a narrower head shape. White British persons also demonstrate higher classification accuracy. Regarding sex patterns, males are relatively larger than females, especially in the mouth and nasal regions. Females presented with higher classification accuracy than males. The differences in the chin, mouth, nose, crania, and forehead emerge from different growth rates between the groups. Classification accuracy is best for children and senior adult age groups.

    Matched MeSH terms: Principal Component Analysis
  13. Feng Y, Ping Tan C, Zhou C, Yagoub AEA, Xu B, Sun Y, et al.
    Food Chem, 2020 Sep 15;324:126883.
    PMID: 32344350 DOI: 10.1016/j.foodchem.2020.126883
    Freeze-thaw cycles (FTC) pretreatment was employed before the vacuum freeze-drying of garlic slices, aimed at improving the drying process and the quality of the end product. Cell viability, water status, internal structure, flavor, chemical composition and thermogravimetric of garlic samples were evaluated. The results indicated that FTC pretreatment reduced the drying time (22.22%-33.33%) and the energy consumption (14.25%-15.50%), owing to the water loss, the increase in free water, and the formation of porous structures. The FTC pretreatment improved thermal stability, flavor and chemical composition content of dried products. The antioxidant activity of polysaccharides extracted from FTC pretreated dried products was higher than that of the unpretreated dried product due to the reduction in polysaccharide molecular weight. This research could pave a route for future production of dried garlic slices having good quality by using the FTC pretreatment, with lower energy consumption and shorter drying time.
    Matched MeSH terms: Principal Component Analysis
  14. Abdul Sani NF, Amir Hamzah AIZ, Abu Bakar ZH, Mohd Yusof YA, Makpol S, Wan Ngah WZ, et al.
    Cells, 2021 06 27;10(7).
    PMID: 34199148 DOI: 10.3390/cells10071611
    The mechanism of cognitive aging at the molecular level is complex and not well understood. Growing evidence suggests that cognitive differences might also be caused by ethnicity. Thus, this study aims to determine the gene expression changes associated with age-related cognitive decline among Malay adults in Malaysia. A cross-sectional study was conducted on 160 healthy Malay subjects, aged between 28 and 79, and recruited around Selangor and Klang Valley, Malaysia. Gene expression analysis was performed using a HumanHT-12v4.0 Expression BeadChip microarray kit. The top 20 differentially expressed genes at p < 0.05 and fold change (FC) = 1.2 showed that PAFAH1B3, HIST1H1E, KCNA3, TM7SF2, RGS1, and TGFBRAP1 were regulated with increased age. The gene set analysis suggests that the Malay adult's susceptibility to developing age-related cognitive decline might be due to the changes in gene expression patterns associated with inflammation, signal transduction, and metabolic pathway in the genetic network. It may, perhaps, have important implications for finding a biomarker for cognitive decline and offer molecular targets to achieve successful aging, mainly in the Malay population in Malaysia.
    Matched MeSH terms: Principal Component Analysis
  15. Othman WN, Muttalib KA, Bakri R, Doss JG, Jaafar N, Salleh NC, et al.
    J Public Health Dent, 2006;66(3):199-204.
    PMID: 16913247 DOI: 10.1111/j.1752-7325.2006.tb02580.x
    Objective: To translate and validate the Geriatric Oral Health Assessment Index (GOHAI into the Malay language for use in Malaysia.

    Methodology: The 6-Likert scale GOHAI was translated into the Malay language and self-administered on 189 subjects aged 60+. All subjects underwent oral status assessment. The measure was assessed for construct and discriminant validity, for test-retest reliability and principal component factor.

    Findings: Mean GOHAI score was 46.2 (SD 9.7, range 17-60). The Cronbach's alpha was 0.79. Mean GOHAI scores increased with more positive self-rated oral health and general health. The elderly with no perceived dental treatment need had higher mean GOHAI scores than those with perceived needs. There were slightly stronger inverse correlations between GOHAI scores and caries experience, number of teeth present, and number of pathologically mobile teeth. The measure demonstrated strong test-retest reliability. Eight of the 12 items had Spearman's r3 0.7. Only one principal factor was found at eigenvalue > 1. Using ANCOVA, self-rated perception of oral health and perceived need for dental treatment had the most significant impact on the GOHAI score.

    Conclusion and recommendations: The Malay language version of the GOHAI demonstrated acceptable validity and reliability and will be an important instrument to measure oral health-related quality of life among Malay-speaking Malaysians. Use of the Malay language version GOHAI should also be pursued among diverse adult age groups.
    Matched MeSH terms: Principal Component Analysis
  16. Wahab IR, Blagojević PD, Radulović NS, Boylan F
    Chem Biodivers, 2011 Nov;8(11):2005-14.
    PMID: 22083913 DOI: 10.1002/cbdv.201100135
    Analysis by GC and GC/MS of the essential oil obtained from Malaysian Curcuma mangga Val. & Zijp (Zingiberaceae) rhizomes allowed the identification of 97 constituents, comprising 89.5% of the total oil composition. The major compounds were identified as myrcene (1; 46.5%) and β-pinene (2; 14.6%). The chemical composition of this and additional 13 oils obtained from selected Curcuma L. taxa were compared using multivariate statistical analyses (agglomerative hierarchical cluster analysis and principal component analysis). The results of the statistical analyses of this particular data set pointed out that 1 could be potentially used as a valuable infrageneric chemotaxonomical marker for C. mangga. Moreover, it seems that C. mangga, C. xanthorrhiza Roxb., and C. longa L. are, with respect to the volatile secondary metabolites, closely related. In addition, comparison of the essential oil profiles revealed a potential influence of the environmental (geographical) factors, alongside with the genetic ones, on the production of volatile secondary metabolites in Curcuma taxa.
    Matched MeSH terms: Principal Component Analysis
  17. Se KW, Ghoshal SK, Wahab RA, Ibrahim RKR, Lani MN
    Food Res Int, 2018 03;105:453-460.
    PMID: 29433236 DOI: 10.1016/j.foodres.2017.11.012
    In this study, we propose an easy approach by combining the Fourier transform infrared and attenuated total reflectance (FTIR-ATR) spectroscopy together with chemometrics analysis for rapid detection and accurate quantification of five adulterants such as fructose, glucose, sucrose, corn syrup and cane sugar in stingless bees (Heterotrigona itama) honey harvested in Malaysia. Adulterants were classified using principal component analysis and soft independent modeling class analogy, where the first derivative of the spectra in the wavenumber range of 1180-750cm-1 was utilized. The protocol could satisfactorily discriminate the stingless bees honey samples that were adulterated with the concentrations of corn syrup above 8% (w/w) and cane sugar over 2% (w/w). Feasibility of integrating FTIR-ATR with chemometrics for precise quantification of the five adulterants was affirmed using partial least square regression (PLSR) analysis. The study found that optimal PLSR analysis achieved standard error of calibrations and standard error of predictions within an acceptable range of 0.686-1.087% and 0.581-1.489%, respectively, indicating good predictive capability. Hence, the method developed here for detecting and quantifying adulteration in H. itama honey samples is accurate and rapid, requiring only 7-8min to complete as compared to 3h for the standard method, AOAC method 998.12.
    Matched MeSH terms: Principal Component Analysis
  18. Wong EHJ, Ng CG, Goh KL, Vadivelu J, Ho B, Loke MF
    Sci Rep, 2018 01 23;8(1):1409.
    PMID: 29362474 DOI: 10.1038/s41598-018-19697-0
    The biofilm-forming-capability of Helicobacter pylori has been suggested to be among factors influencing treatment outcome. However, H. pylori exhibit strain-to-strain differences in biofilm-forming-capability. Metabolomics enables the inference of spatial and temporal changes of metabolic activities during biofilm formation. Our study seeks to examine the differences in metabolome of low and high biofilm-formers using the metabolomic approach. Eight H. pylori clinical strains with different biofilm-forming-capability were chosen for metabolomic analysis. Bacterial metabolites were extracted using Bligh and Dyer method and analyzed by Liquid Chromatography/Quadrupole Time-of-Flight mass spectrometry. The data was processed and analyzed using the MassHunter Qualitative Analysis and the Mass Profiler Professional programs. Based on global metabolomic profiles, low and high biofilm-formers presented as two distinctly different groups. Interestingly, low-biofilm-formers produced more metabolites than high-biofilm-formers. Further analysis was performed to identify metabolites that differed significantly (p-value 
    Matched MeSH terms: Principal Component Analysis
  19. Shaharom S, Latif MT, Khan MF, Yusof SNM, Sulong NA, Wahid NBA, et al.
    Environ Sci Pollut Res Int, 2018 Sep;25(27):27074-27089.
    PMID: 30019134 DOI: 10.1007/s11356-018-2745-0
    This study aims to determine the concentrations of surfactants in the surface microlayer (SML), subsurface water (SSW) and fine mode aerosol (diameter size
    Matched MeSH terms: Principal Component Analysis
  20. Razak IS, Latif MT, Jaafar SA, Khan MF, Mushrifah I
    Environ Sci Pollut Res Int, 2015 Apr;22(8):6024-33.
    PMID: 25382497 DOI: 10.1007/s11356-014-3781-z
    This study was conducted to determine the composition of surfactants in atmospheric aerosols and rainwater in the vicinity of Lake Chini, Malaysia. Samples of atmospheric aerosol and rainwater were collected between March and September 2011 using a high volume air sampler (HVAS) and glass bottles equipped with funnel. Colorimetric analysis was undertaken to determine the concentration of anionic surfactants as methylene blue active substances (MBAS) and cationic surfactants as disulphine blue active substances (DBAS). The water-soluble ionic compositions were determined using inductively coupled plasma mass spectrometry for cations (Na, K, Mg and Ca) and ion chromatography equipped with a conductivity detector for anions (F(-), Cl(-), NO3(-), and SO4(2-)) and the Nessler Method was used to obtain the NH4(+) concentrations. The source apportionment of MBAS and DBAS in atmospheric aerosols was identified using a combination of principal component analysis (PCA) and multiple linear regression (MLR). The results revealed that the concentrations of surfactants in atmospheric aerosols and rainwater were dominated by anionic surfactants as MBAS. The concentration of surfactants as MBAS and DBAS was dominated in fine mode compared to coarse mode aerosols. Using PCA/MLR analysis, two major sources of atmospheric surfactants to Lake Chini were identified as soil dust (75 to 93%) and biomass burning (2 to 22%).
    Matched MeSH terms: Principal Component Analysis
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