scholarly journals Table Olives Fermented in Iodized Sea Salt Brines: Nutraceutical/Sensory Properties and Microbial Biodiversity

Foods ◽  
2020 ◽  
Vol 9 (3) ◽  
pp. 301 ◽  
Author(s):  
Barbara Lanza ◽  
Sara Di Marco ◽  
Nicola Simone ◽  
Carlo Di Marco ◽  
Francesco Gabriele
Keyword(s):  
Color Change ◽  
Principal Component ◽  
Iodine Content ◽  
Sea Salt ◽  
Microbial Biodiversity ◽  
Table Olives ◽  
C Value ◽  
Salt Brine ◽  
And Cluster Analysis ◽  
Microelement Content

This research aimed to study the influence of different brining processes with iodized and noniodized salt on mineral content, microbial biodiversity, sensory evaluation and color change of natural fermented table olives. Fresh olives of Olea europaea Carolea and Leucocarpa cvs. were immersed in different brines prepared with two different types of salt: the PGI “Sale marino di Trapani”, a typical sea salt, well known for its taste and specific microelement content, and the same salt enriched with 0.006% of KIO3. PGI sea salt significantly enriches the olive flesh in macroelements as Na, K and Mg, and microelements such as Fe, Mn, Cu and Zn. Instead, Ca decreases, P remains constant, while iodine is present in trace amounts. In the olives fermented in iodized-PGI sea salt brine, the iodine content reached values of 109 μg/100 g (Carolea cv.) and 38 μg/100 g (Leucocarpa cv.). The relationships between the two varieties and the mineral composition were explained by principal component analysis (PCA) and cluster analysis (CA). Furthermore, analyzing the fermenting brines, iodine significantly reduces the microbial load, represented only by yeasts, both in Carolea cv. and in Leucocarpa cv. Candida is the most representative genus. The sensory and color properties weren’t significantly influenced by iodized brining. Only Carolea cv. showed significative difference for b* parameter and, consequently, for C value. Knowledge of the effects of iodized and noniodized brining on table olives will be useful for developing new functional foods, positively influencing the composition of food products.

The Utilization of Ftir (Fourier Transform Infra-Red) Method Combined with Chemometrics For Authentication of Indonesian Coffee Powder

2017 ◽  
Vol 9 (3) ◽  
Author(s):  
Firmansyah A. ◽  
Winingsih W. ◽  
Soebara Y S
Keyword(s):  
Fourier Transform ◽  
Natural Product ◽  
High Performance ◽  
Principal Component ◽  
Raw Material ◽  
Attenuated Total Reflectance ◽  
Coffee Bean ◽  
Product Analysis ◽  
Total Reflectance ◽  
And Cluster Analysis

Analysis of natural product remain challenging issues for analytical chemist, since natural products are complicated system of mixture. The most popular methods of choice used for quality control of raw material and finished product are high performance liquid chromatography (HPLC), gas chromatography (GC) and mass spectrometry (MS). The utilization of FTIR-ATR (Fourier Transform Infrared-Attenuated Total Reflectance) method in natural product analysis is still limited. This study attempts to expand the use of FTIR spectroscopy in authenticating Indonesian coffee powder.The coffee samples studied were taken from nine regions in Indonesia, namely Aceh Gayo, Flores, Kintamani, Mandheling, Papua, Sidikalang, Toraja, Kerinci and Lampung.The samples in the form of coffee bean from various regions were powdered . The next step conducted was to determine the spectrum using the FTIR-ATR (Attenuated Total Reflectance) using ZnSe crystal of 8000 resolution. Spectrum samples, then, were analyzed using chemometrics. The utilized chemometric model was the principal component analysis (PCA) and cluster analysis (CA). Based on the chemometric analysis, there are similarities between Aceh Gayo coffee with Toraja coffee, Mandailing coffee, Kintamani coffee and Flores coffee. Sidikalang coffee has a similarity to Flores coffee; Papua coffee has a similarity to Sidikalang coffee; Lampung coffee has a similarity to Sidikalang coffee, while Kerinci coffee has a similarity to Papua coffee.

scholarly journals Four-Year Study on the Bio-Agronomic Response of Biotypes of Capparis spinosa L. on the Island of Linosa (Italy)

Agriculture ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. 327
Author(s):  
Salvatore La Bella ◽  
Francesco Rossini ◽  
Mario Licata ◽  
Giuseppe Virga ◽  
Roberto Ruggeri ◽  
...  
Keyword(s):  
Block Design ◽  
Principal Component ◽  
Flower Bud ◽  
Natural Habitats ◽  
Phenological Stages ◽  
Average Value ◽  
Randomized Complete Block Design ◽  
Capparis Spinosa ◽  
Production Behavior ◽  
And Cluster Analysis

The caper plant is widespread in Sicily (Italy) both wild in natural habitats and as specialized crops, showing considerable morphological variation. However, although contributing to a thriving market, innovation in caper cropping is low. The aim of the study was to evaluate agronomic and production behavior of some biotypes of Capparis spinosa L. subsp. rupestris, identified on the Island of Linosa (Italy) for growing purposes. Two years and seven biotypes of the species were tested in a randomized complete block design. The main morphological and production parameters were determined. Phenological stages were also observed. Analysis of variance showed high variability between the biotypes. Principal component analysis and cluster analysis highlighted a clear distinction between biotypes based on biometric and production characteristics. Production data collected in the two-year period 2007–2008 showed the greatest production levels in the third year following planting in 2005. In particular, biotype SCP1 had the highest average value (975.47 g) of flower bud consistency. Our results permitted the identification of biotypes of interest for the introduction into new caper fields. Further research is needed in order to characterize caper biotypes in terms of the chemical composition of the flower buds and fruits.

scholarly journals Fee - fishing operation evaluation at Nothwest São Paulo State, Brazil

2005 ◽  
Vol 62 (6) ◽  
pp. 590-596
Author(s):  
Ruy Bessa Lopes ◽  
Luiz de Carvalho Landell Filho ◽  
Carlos Tadeu dos Santos Dias
Keyword(s):  
Fishery Management ◽  
Stocking Density ◽  
Principal Component ◽  
Sao Paulo ◽  
São Paulo ◽  
Productive Performance ◽  
Paulo State ◽  
Productive System ◽  
São Paulo State ◽  
And Cluster Analysis

Fee-fishing operations developed recently in Brazilian agricultural scenery in a rather disordered manner. This study, carried out at the northwest region of São Paulo State, Brazil, focuses on the productive performance of fee-fishing system. Several visits were made monthly to nine fee-fishing establishments, for six months. A questionnaire by owners targeting 13 indicators of the operation's productive performance. Data were submitted to multivariate analysis (MANOVA), principal component analysis (PCA) and cluster analysis. MANOVA indicated significant differences between the fee-fishing operations. The PCA analyses indicated, from the higher coefficient eigenvectors, three attributes for the lakes, such as productive system, fishery management and operational administration. The cluster analyses classified the fishing lakes in four groups. The indicators angler frequency (AF), stocking density (SD), stocking biomass (SB), total capture (TC) and capture/lake/day (CLD), which are part of the attribute productive system, were the most important indicators of "fee-fishing" operations performance in this study.

Components of responses of a population of DSCT neurons to muscle stretch and contraction

1989 ◽  
Vol 61 (2) ◽  
pp. 456-465 ◽  
Author(s):  
C. E. Osborn ◽  
R. E. Poppele
Keyword(s):  
Time Course ◽  
Functional Organization ◽  
Afferent Fiber ◽  
Response Probability ◽  
Principal Component ◽  
Response Patterns ◽  
Afferent Pathways ◽  
Hindlimb Muscles ◽  
Spinocerebellar Tract ◽  
And Cluster Analysis

1. Impulse activity of 264 units of the dorsal spinocerebellar tract (DSCT) was recorded during random contraction or stretch in hindlimb muscles. Contractions were evoked in either the isolated gastrocnemius-soleus (GS) muscles or the intact limb during crossed-extensor reflexes; stretches were applied to the isolated GS. 2. The time course of poststimulus changes in spike activity of DSCT neurons was determined from the response probability function (RPF; Ref. 15). These data were analyzed using principal component and cluster analysis to group the responses according to the RPF waveforms. 3. The responses to each type of stimulus displayed a remarkable similarity in time course, regardless of the type of stimulus used. The responses were also similar to those observed previously during single shock nerve stimulation (14). 4. The most reasonable explanation for these results is that the time course of excitability changes in DSCT neurons is determined less by particular types of receptors or patterns of afferent fiber activity than by the circuitry and afferent pathways impinging on the neurons of the DSCT. 5. The functional organization of DSCT suggested by these results includes a wide divergence from sensory receptors along polysynaptic pathways to DSCT neurons and considerable convergence onto each neuron from a diversity of receptors. Individual DSCT cells may respond to stimuli with one of a few stereo-typical response patterns yet the distribution of those patterns among the units of the DSCT population may be unique for each stimulus.

scholarly journals Evaluation of evidence value of car primer using pyrolysis-gas chromatography-mass spectrometry (Py-GC-MS) and chemometrics

2021 ◽  
Vol 15 (1) ◽  
pp. 43
Author(s):  
Raja Zubaidah Raja Sabaradin ◽  
Rozita Osman
Keyword(s):  
Principal Component ◽  
Gas Chromatography Mass Spectrometry ◽  
Clear Coat ◽  
Pyrolysis Gas ◽  
Paint Sample ◽  
Cathodic Electrodeposition ◽  
And Cluster Analysis ◽  
Evaluation Of Evidence ◽  
Paint Analysis ◽  
Cluster 2

The car paint system consisted of four different layers; namely cathodic electrodeposition (CED), primer, the basecoat, and clear coat. Each of these layers may offer valuable information in an analysis of car paint. However, the recovery of a small amount of car paint from a crime scene may not consist of all four layers. Thus, this study is conducted to evaluate the evidence value of car primer in the presence of basecoat and absence of clear coat. In this study, 80 car paint samples, consisting of eight different red basecoats and ten types of primers were analyzed using Py-GC-MS to evaluate the contribution of the primer layer in the analysis of car paint sample. The chromatographic dataset obtained was subjected to chemometric techniques namely principal component analysis (PCA) and cluster analysis (CA). 22 principal components were rendered from PCA with a total variance of 81.23%. CA’s three clusters are cluster 1 and 3 which was based on the shades of red basecoat while cluster 2 was based on the type of primer. This observation showed that the car primer might have a significant contribution to the analysis of car paint using Py-GC-MS. Keywords: Car primer, car paint analysis, Py-GC-MS, chemometric

scholarly journals Chemometrics Application for Grouping and Determinating Volatile Compound which related to Antioxidant Activity of Turmeric Essential Oil (Curcuma longa L)

2020 ◽  
pp. 1
Author(s):  
Rosy Islamadina ◽  
Adelin Can ◽  
Abdul Rohman
Keyword(s):  
Antioxidant Activity ◽  
Essential Oil ◽  
Curcuma Longa ◽  
Principal Component ◽  
Correlated Variables ◽  
And Cluster Analysis ◽  
The Relationship ◽  
Essential Oil Compounds ◽  
Chemical Contents

Turmeric essential oil is known to have antioxidant activity. Various in vitro antioxidantactivity assays has been carried out. Related to this research, it tries to examine the antioxidantpotential of turmeric essential oil and see the composition that is responsible for antioxidant activitycombine with chemometrics. The research method used was a narrative review of 60 articlesobtained from several databases. The review conducted on profiling essential oil compounds thatidentified using GC-MS and evaluation of the antioxidant activity of turmeric essential oil with themost commonly used method including scavenging radical 2,2 diphenyl-1-picrylhydrazyl (DPPH)and 2,2-azinobis (3-ethylbenzothiazoline-6 sulfonic acid (ABTS). Analysis methods used forgrouping various multivariate data subjects and determaining the relationship between thevariables were Principal Component Analysis (PCA) and Cluster Analysis (CA). According to thereview, turmeric essential oils are proven to have potential antioxidant activity and have variationsin chemical contents. PCA was success for grouping subjects with various correlated variables,determining variables wich the most influential and correlation between variables. CA method canbe used to group samples without requiring mutually correlated variables.

scholarly journals Use of Highly Discriminating Morphological Characters and Isozymes in the Study of Spanish Chestnut Cultivars

2006 ◽  
Vol 131 (6) ◽  
pp. 770-779 ◽  
Author(s):  
Santiago Pereira-Lorenzo ◽  
María Belén Díaz-Hernández ◽  
Ana María Ramos-Cabrer
Keyword(s):  
Principal Component Analysis ◽  
Cluster Analysis ◽  
Multivariate Analysis ◽  
Castanea Sativa ◽  
Principal Component ◽  
Market Value ◽  
Morphological Characters ◽  
Minor Importance ◽  
Breeding Programs ◽  
And Cluster Analysis

Morphological characters (six traits) and isozymes (four systems, five loci) were used to discriminate between Spanish chestnut cultivars (Castanea sativa Mill.) from the Iberian Peninsula. A total of 701 accessions (representing 168 local cultivars) were analyzed from collections made between 1989 and 2003 in the main chestnut growing areas: 31 were from Andalucía (12 cultivars), 293 from Asturias (65 cultivars), 25 from Castilla-León (nine cultivars), four from Extremadura (two cultivars) and 348 from Galicia (80 cultivars). Data were synthesized using multivariate analysis, principal component analysis, and cluster analysis. A total of 152 Spanish cultivars were verified: 58 cultivars of major importance and 94 of minor importance, of which 18 had high intracultivar variation. Thirty-seven cultivars were clustered into 14 synonymous groups. Six of these were from Galicia, one from Castilla-León (El Bierzo), four from Asturias, one from Asturias and Castilla-León (El Bierzo), and two from Asturias, Castilla-León (El Bierzo), and Galicia. The chestnut cultivars from Galicia and Asturias were undifferentiated in genetic terms, indicating that they are not genetically isolated. Overall, chestnut cultivars from southern Spain showed the least variation. Many (58%) of Spanish cultivars produced more than 100 nuts/kg; removing this low market-value character will be a high priority. The data obtained will be of use in chestnut breeding programs in Spain and elsewhere.

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