Pizza Dough Differentiation by Principal Component Analysis of Alveographic, Microbiological, and Chemical Parameters

This research conducted due to lack of information about fish larvae in Ranau Lake, South Sumatera. This information is quite essential to explore because this can be used as a scientific basis for policy formation in this area. The objectives of this research are to analyze the correlation between fish larvae abundance to physicochemical parameters in Ranau Lake waters. Sampling was carried out at six stations (Muara Silabung, Dermaga, Way Maisin, Pemandian Air Panas, Lumbok, and Talang Teluk). Physico-chemical parameters measured directly in the field are temperature, pH, depth, brightness, CO2, O2, hardness, electrical conductivity, total alkalinity, and turbidity; while the chemical parameters measured in the laboratory are COD, NO2, NO3, NH3, and PO4. Larvae species identified through DNA sequence. Principal Component Analysis (PCA) was used to measure the relationship between fish larvae abundance to the water parameters. Results show that generally there were forty-two fish larvae from nine species. The dominant species was Oreochromis niloticus. The results of the Principal Component Analysis show that the highest abundance of fish larvae was in water with the highest level of turbidity and dissolved oxygen, whereas the lowest abundance was in water with the highest level nitrate and depth. Belum ada informasi tentang kelimpahan larva ikan diperairan Danau Ranau Sumatera Selatan melatarbelakangi penelitian ini. Informasi ini sangat penting untuk diketahui karena dapat dijadikan acuan dalam pengelolaan perikanan di wilayah ini. Penelitian bertujuan untuk menganalisis hubungan kelimpahan larva ikan dengan parameter fisika-kimia di perairan Danau Ranau. Pengambilan sampel dilakukan di enam stasiun (Muara Silabung, Dermaga, Way Maissin, Pemandian Air Panas, Lumbok dan Talang Teluk). Parameter fisika-kimia perairan yang diukur langsung di lapangan adalah suhu, pH, kedalaman, kecerahan, CO2, O2, kesadahan, daya hantar listrik, total alkalinitas, dan turbiditas; sedangkan parameter kimia yang diukur di laboratorim adalah COD, NO2, NO3, NH3, dan PO4. Spesies larva ikan diidentifikasi dengan sekuen DNA. Analisis Komponen Utama dilakukan untuk mengetahui hubungan antara kelimpahan larva ikan dengan parameter fisika-kimia perairan. Hasil penelitian menunjukkan secara keseluruhan ada 42 larva ikan yang berasal dari 9 spesies. Spesies yang paling dominan adalah Oreochromis niloticus. Hasil Analisis Komponen Utama menunjukkan bahwa kelimpahan larva ikan tertinggi (102,9 individu/100m3) berada pada stasiun pengamatan yang memiliki turbiditas dan oksigen terlarut tertinggi, sedangkan kelimpahan larva ikan terendah (10,83 individu/100m3) berada pada stasiun pengamatan yang memiliki kadar nitrat dan kedalaman tertinggi.

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Rapid Method for the Discrimination of Romanian Wines Based on Mid-Infrared Spectroscopy and Chemometrics

Revista de Chimie ◽

10.37358/rc.18.2.6129 ◽

2018 ◽

Vol 69 (2) ◽

pp. 469-473

Author(s):

Carmen Mihaela Topala ◽

Lavinia Diana Tataru

Keyword(s):

Principal Component Analysis ◽

Infrared Spectroscopy ◽

Multivariate Data Analysis ◽

Geographical Origin ◽

Principal Component ◽

Component Analysis ◽

Red Wines ◽

Chemical Parameters ◽

Mid Infrared ◽

Mir Spectra

ATR-FTIR Spectroscopy combined with multivariate data analysis have been applied for the discrimination of 10 different Romanian wines (white and red wines), produced in 2 wineries from Romania: Reca� and Stefanesti-Arge�s from different cultivars. Principal Component Analysis were performed using different regions of FT-MIR spectra for all wines. Principal Component Analysis of their chemical parameters indicated that the wines can be discriminated based on their different phenolic, glucides, acidity content and geographical origin.

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ATR-FTIR Spectroscopy Coupled with Chemical and Chemometric Analysis to Distinguish Between Some Sweet Wines

Revista de Chimie ◽

10.37358/rc.19.7.7339 ◽

2019 ◽

Vol 70 (7) ◽

pp. 2355-2361

Author(s):

Carmen Mihaela Topala ◽

Lavinia Diana Tataru

Keyword(s):

Principal Component Analysis ◽

Ftir Spectroscopy ◽

Sugar Content ◽

Principal Component ◽

Component Analysis ◽

Chemometric Analysis ◽

Chemical Parameters ◽

Total Polyphenol ◽

Sweet Wines ◽

Mir Spectra

FTIR Spectroscopy correlated with some chemical characteristics and chemometric analysis have been applied to distinguish between sweet wines obtained from different Romanian varieties and Canadian icewine. Chemical analyses differentiate the two categories of origin in terms of sugar content, acidity and total polyphenol content but are expensive and time-consuming. Principal Component Analysis were performed using different regions of FT-MIR spectra for all wines. Principal Component Analysis of their chemical parameters indicated that the wines can be discriminated based on their different phenolic, carbohydrates, polyols content and geographical origin. FTIR spectroscopy coupled with chemometry is a profitable technique for distinguishing between different wines and validates the results obtained by chemical analysis.

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Gene delivery polymer structure–function relationships elucidated via principal component analysis

Chemical Communications ◽

10.1039/c5cc04417k ◽

2015 ◽

Vol 51 (60) ◽

pp. 12134-12137 ◽

Cited By ~ 15

Author(s):

C. J. Bishop ◽

B. Abubaker-Sharif ◽

T. Guiriba ◽

S. Y. Tzeng ◽

J. J. Green

Keyword(s):

Principal Component Analysis ◽

Gene Delivery ◽

Biological Function ◽

Principal Component ◽

Component Analysis ◽

Polymer Structure ◽

Viral Gene ◽

Amino Ester ◽

Chemical Parameters ◽

Viral Gene Delivery

Principal component analysis was applied to a biomaterial library of poly(beta-amino ester)s, useful for non-viral gene delivery, to elucidate chemical parameters that drive biological function.

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Fourier-transform near infrared spectroscopy and chemometrics for discrimination of cold-pressed oils and determination of their chemical parameters

Journal of Near Infrared Spectroscopy ◽

10.1177/0967033518796701 ◽

2018 ◽

Vol 26 (4) ◽

pp. 262-272 ◽

Cited By ~ 1

Author(s):

Anna Gliszczyńska-Świgło ◽

Żaneta Jajor ◽

Dominik Kmiecik

Keyword(s):

Fatty Acids ◽

Principal Component Analysis ◽

Fourier Transform ◽

Infrared Spectroscopy ◽

Near Infrared Spectroscopy ◽

Near Infrared ◽

Unsaturated Fatty Acids ◽

Principal Component ◽

Component Analysis ◽

Chemical Parameters

Principal component analysis was performed to discriminate commercial cold-pressed cosmetic oils based on their Fourier-transform near infrared spectroscopy spectra and chemical parameters such as the composition of fatty acids, content of tocopherols, total carotenoids, polyphenols, and chlorophylls, as well as calculated oxidizability and iodine values. It was found that the oils analyzed differed significantly in the chemical composition. The level of total unsaturated fatty acids ranged from 74.0 to 93.4%. The content of carotenoids in oils ranged from 3.1 to 197.1 mg/kg, total chlorophylls from 0.04 to 46.3 mg/kg, and total phenolics from 36 to 596 mg/kg. The oils tested differed also in the content of tocopherols (from 11 to 3836 mg/kg). Principal component analysis based on Fourier-transform near infrared spectroscopy spectra revealed a different pattern of discrimination of the oils compared to principal component analysis based on the chemical parameters. However, using partial least squares regression, good correlations were found between Fourier-transform near infrared spectroscopy spectra and the contribution of linoleic acid (18:2), monounsaturated fatty acids, polyunsaturated fatty acids, unsaturated fatty acids, calculated oxidizability, or calculated iodine values. Good models with coefficients of determination not lower than 0.989 and with low root-mean-square error for cross-validation were obtained when the range from 4800 to 4500 cm−1 was applied. Values of residual predictive deviation for these models were higher than 3.0 indicating very good prediction accuracy. The models obtained were successfully used to predict these parameters for new selected oils.

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A German version of the Intermittent Claudication Questionnaire (ICQ): cultural adaptation and validation

VASA ◽

10.1024/0301-1526/a000218 ◽

2012 ◽

Vol 41 (5) ◽

pp. 333-342 ◽

Cited By ~ 3

Author(s):

Kirchberger ◽

Finger ◽

Müller-Bühl

Keyword(s):

Principal Component Analysis ◽

Intermittent Claudication ◽

Completion Time ◽

Short Form ◽

Principal Component ◽

Component Analysis ◽

German Version ◽

Average Completion Time ◽

Sf 36 ◽

Related Quality

Background: The Intermittent Claudication Questionnaire (ICQ) is a short questionnaire for the assessment of health-related quality of life (HRQOL) in patients with intermittent claudication (IC). The objective of this study was to translate the ICQ into German and to investigate the psychometric properties of the German ICQ version in patients with IC. Patients and methods: The original English version was translated using a forward-backward method. The resulting German version was reviewed by the author of the original version and an experienced clinician. Finally, it was tested for clarity with 5 German patients with IC. A sample of 81 patients were administered the German ICQ. The sample consisted of 58.0 % male patients with a median age of 71 years and a median IC duration of 36 months. Test of feasibility included completeness of questionnaires, completion time, and ratings of clarity, length and relevance. Reliability was assessed through a retest in 13 patients at 14 days, and analysis of Cronbachs alpha for internal consistency. Construct validity was investigated using principal component analysis. Concurrent validity was assessed by correlating the ICQ scores with the Short Form 36 Health Survey (SF-36) as well as clinical measures. Results: The ICQ was completely filled in by 73 subjects (90.1 %) with an average completion time of 6.3 minutes. Cronbachs alpha coefficient reached 0.75. Intra-class correlation for test-retest reliability was r = 0.88. Principal component analysis resulted in a 3 factor solution. The first factor explained 51.5 of the total variation and all items had loadings of at least 0.65 on it. The ICQ was significantly associated with the SF-36 and treadmill-walking distances whereas no association was found for resting ABPI. Conclusions: The German version of the ICQ demonstrated good feasibility, satisfactory reliability and good validity. Responsiveness should be investigated in further validation studies.

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