Innovative and thorough practice to certify reference materials for sensory defects of olive oil.

An important problem in the olive sector is the occasional mismatch of results obtained by different tasting panels when the same olive oil sample is analysed. These discrepancies could be minimised by using reference materials (RM) for taster training. A comprehensive protocol based on the combined use of sensory and instrumental analysis for the certification of olive oil batches as RMs, developed within the framework of the project 'Operational Group INTERPANEL', is proposed. Similarity indices (R2, cosθ and NEAR) applied on GC-MS fingerprints, allow a successful homogeneity and stability assessment of produced batches. Furthermore, the use of robust statistics combined with a set of instructions developed to remove outliers were applied with excellent results on sensory data set provided by supra-panel composed by more than 100 qualified tasters. This work is the first to provide a comprehensive protocol for certification of real olive oil samples as RM for sensory analysis.

Homogeneity assessment of reference materials for sensory analysis of liquid foodstuffs. The virgin olive oil as case study.

Sensory properties are critical characteristics that determine quality and can be evaluated by trained tasting panels. The panels function as multi-sensor measuring instrument and need the use of reference materials (RMs) for training. The homogeneity between units packaged from a batch of RM can be evaluated by gas chromatography coupled to flame ionization detection (GC-FID), using this instrumental technique as an alternative to sensory analysis. For this purpose, the fingerprint methodology is applied, taking into account that the homogeneity assessment will be based on evaluating the similarity between the fingerprints of the fraction of volatile organic compounds acquired from samples representative of the batch. The proposed methodology is applied with good results to evaluate the homogeneity of several RMs for sensory analysis of virgin olive oil samples, using similarity indices, control charts and exploratory analysis of multivariate data to observe the grouping RM and fingerprint regions representative of each defect.

Usefulness of CSF Biomarkers in Predicting the Progression of Amnesic and Nonamnesic Mild Cognitive Impairment to Alzheimer's Disease.

OBJECTIVE: The aim of this study was to investigate the usefulness of Alzheimer's disease Cerebrospinal Fluid (CSF) biomarkers in predicting the progression to dementia in patients with Mild Cognitive Impairment (MCI). METHODS: One hundred and thirteen patients were consecutively recruited from April 2012 to April 2014. Measurement of CSF biomarkers (amyloid-ß42 (Aß42), total tau (t-tau) and phosphorylated tau (p-tau)) and a neuropsychological evaluation were performed for all patients. We categorized patients with MCI as A+A- and N+N- based on the presence/absence of amyloid pathology and neurodegeneration, respectively. RESULTS: Of 72 patients with MCI, 26 (36%) progressed to dementia. These patients had lower CSF Aß42 levels and higher p-tau and t-tau levels at baseline. The proportion that progressed to dementia was 14.3% (2/14), 36.8% (7/19), 66.7% (4/6) and 75% (12/16) in the A-N-, A+N-, A-N+ (SNAP), and A+N+ patients, respectively (p < 0.05). There were significant differences in the probability of progression from amnestic MCI (aMCI) to AD between the A+N+ and A-N- patients (OR = 8.1, 95% CI 1.5-42.3, p = 0.001) but not between SNAP (OR = 7.3, 95% CI 0.9-61, p = 0.02) or A+N- (OR = 2.1, 95% CI 0.4 to 10.4, p = 0.15) patients compared to the A-N- subgroup. None of the biomarker profiles of the subgroups predicted the time until the progression to AD. CONCLUSION: The use of CSF AD biomarkers in clinical practice improves the certainty of diagnosis and prognosis of patients, especially in patients in the prodromal phase or in patients with atypical presentations.

Multivariate approaches for stability control of the olive oil reference materials for sensory analysis - part II: applications.

BACKGROUND: The organoleptic quality of virgin olive oil depends on positive and negative sensory attributes. These attributes are related to volatile organic compounds and phenolic compounds that represent the aroma and taste (flavour) of the virgin olive oil. The flavour is the characteristic that can be measured by a taster panel. However, as for any analytical measuring device, the tasters, individually, and the panel, as a whole, should be harmonized and validated and proper olive oil standards are needed. RESULTS: In the present study, multivariate approaches are put into practice in addition to the rules to build a multivariate control chart from chromatographic volatile fingerprinting and chemometrics. Fingerprinting techniques provide analytical information without identify and quantify the analytes. This methodology is used to monitor the stability of sensory reference materials. CONCLUSION: The similarity indices have been calculated to build multivariate control chart with two olive oils certified reference materials that have been used as examples to monitor their stabilities. This methodology with chromatographic data could be applied in parallel with the 'panel test' sensory method to reduce the work of sensory analysis. © 2018 Society of Chemical Industry.

Multivariate approaches for stability control of the olive oil reference materials for sensory analysis - part I: framework and fundamentals.

BACKGROUND: Virgin olive oil is the only food product for which sensory analysis is regulated to classify it in different quality categories. To harmonize the results of the sensorial method, the use of standards or reference materials is crucial. The stability of sensory reference materials is required to enable their suitable control, aiming to confirm that their specific target values are maintained on an ongoing basis. Currently, such stability is monitored by means of sensory analysis and the sensory panels are in the paradoxical situation of controlling the standards that are devoted to controlling the panels. RESULTS: In the present study, several approaches based on similarity analysis are exploited. For each approach, the specific methodology to build a proper multivariate control chart to monitor the stability of the sensory properties is explained and discussed. CONCLUSION: The normalized Euclidean and Mahalanobis distances, the so-called nearness and hardiness indices respectively, have been defined as new similarity indices to range the values from 0 to 1. Also, the squared mean from Hotelling's T2 -statistic and Q2 -statistic has been proposed as another similarity index. © 2018 Society of Chemical Industry.