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Coffee aroma is critical for consumer liking and enables price differentiation of coffee. This study applied hyperspectral imaging (1000–2500 nm) to predict volatile compounds in single roasted coffee beans, as measured by Solid Phase Micro Extraction-Gas Chromatography-Mass Spectrometry and Gas Chromatography-Olfactometry. Partial least square (PLS) regression models were built for individual volatile compounds and chemical classes. Selected key aroma compounds were predicted well enough to allow rapid screening (R2 greater than 0.7, Ratio to Performance Deviation (RPD) greater than 1.5), and improved predictions were achieved for classes of compounds - e.g. aldehydes and pyrazines (R2 ∼ 0.8, RPD ∼ 1.9). To demonstrate the approach, beans were successfully segregated by HSI into prototype batches with different levels of pyrazines (smoky) or aldehydes (sweet). This is industrially relevant as it will provide new rapid tools for quality evaluation, opportunities to understand and minimise heterogeneity during production and roasting and ultimately provide the tools to define and achieve new coffee flavour profiles.

The production technology of meat-bone paste and its effect on chemical, mineral and amino acid compositions of liver pâté were studied. The liver was replaced by meat-bone paste in the concentration of 5, 10, 15, 20, and 25% for the production of experimental samples. The compositional analysis of pâté manufactured with meat-bone paste showed that the reformulation did not influence the content of moisture (~56%), fat (~28%), or protein (~11%) while producing a significant increase of ash and a decrease of carbohydrates in comparison with control pâtés. The higher amounts of minerals of bone-meat paste, including calcium (3080 mg/100 g), magnesium (2120 mg/100 g), phosphorous (2564 mg/100 g), and iron (7.30 mg/100 g), explained the higher amount of both ash and these minerals in the reformulated samples compared to the control samples. The total caloric value (~300 kcal/100 g) was also unaffected by the addition of bone-meat paste. The content of both essential and non-essential amino acids decreased with the inclusion of meat-bone paste, although this decrease was lower in essential (6280 mg/100 g in control vs. 5756 mg/100 g in samples with 25% of meat-bone paste) than in non-essential amino acids (6080 mg/100 g in control vs. 3590 mg/100 g in samples with 25% of meat-bone paste). This fact is due to several essential amino acids not showing differences between control and reformulated samples, while in non-essential amino acids, these differences were greater. The results of this study showed that meat-bone paste addition is a good strategy to produce liver pâté enriched in minerals and with minimum influence on the content of the other important nutrients. Therefore, these results can be used for the design of new liver pâté with an increased nutritional significance by using meat industry by-products. According to the balance of minerals, the use of 15% of meat-bone paste to reformulate liver pâté is the best strategy used in the present research. However, additional studies on the stability (during storage), shelf-life, and sensory acceptability of these reformulated pâtés should be carried out.

Hepatocellular carcinoma (HCC) is the fifth most common cancer and the second most frequent cause of cancer-related death worldwide. Hepatitis C virus (HCV) infection is one of leading cause of cirrhosis, that is the strongest risk factor for the development of HCC in Western countries (1,2).

Introduction Considering the high risk of dysplasia and cancer in inflammatory bowel disease [IBD], surveillance is advocated. However, international guidelines do not reach a uniform recommendation on the way to perform surveillance. We performed a systematic review with a meta-analysis to assess the best endoscopic surveillance strategy in colonic IBD. Methods The systematic review was performed in PubMed/MEDLINE, EMBASE, SCOPUS, and Cochrane databases to identify studies comparing white light endoscopy [WLE] and augmented endoscopy [AE] in the detection of dysplasia/neoplasia in colonic IBD. A sub-analysis between dye-spray chromoendoscopy [DCE], narrow-band imaging [NBI], I-SCAN, full-spectrum endoscopy [FUSE], and auto-fluorescence imaging [AFI] was also performed. Furthermore, a meta-regression and a network meta-analysis were also performed. Results A total of 27 studies [6167 IBD patients with 2024 dysplastic lesions] met the inclusion criteria. There was no publication bias. AE showed a higher likelihood of detecting dysplasia than WLE (19.3% vs 8.5%, odds ratio [OR] = 2.036), with an incremental yield [IY] of 10.8%. DCE [OR = 2.605] and AFI [OR = 3.055] had higher likelihood of detecting dysplasia than WLE; otherwise, I-SCAN [OR = 1.096], NBI [OR = 0.650], and FUSE [OR = 1.118] were not superior to WLE. Dysplasia was found in 1256/7267 targeted biopsies [17.3%] and in 363/110 040 random biopsies [0.33%] [OR = 66.559, IY = 16.9%]. Meta-regression found no variable impacting on the efficacy of AE techniques. Network meta-analysis identified a significant superiority of DCE to WLE in detecting dysplasia [OR 2.12], but no other single technique was found to be superior to all others in dysplasia detection. Conclusions DCE was associated with higher likelihood of discovering dysplastic lesions than WLE. Chromoendoscopy is the best supported endoscopic technique for IBD surveillance.

Background & Aims Although the discriminative ability of the model for end-stage liver disease (MELD) score is generally considered acceptable, its calibration is still unclear. In a validation study, we assessed the discriminative performance and calibration of 3 versions of the model: original MELD-TIPS, used to predict survival after transjugular intrahepatic portosystemic shunt (TIPS); classic MELD-Mayo; and MELD-UNOS, used by the United Network for Organ Sharing (UNOS). We also explored recalibrating and updating the model. Methods In total, 776 patients who underwent elective TIPS (TIPS cohort) and 445 unselected patients (non-TIPS cohort) were included. Three, 6 and 12-month mortality predictions were calculated by the 3 MELD versions: discrimination was assessed by c-statistics and calibration by comparing deciles of predicted and observed risks. Cox and Fine and Grey models were used for recalibration and prognostic analyses. Results In the TIPS/non-TIPS cohorts, the etiology of liver disease was viral in 402/188, alcoholic in 185/130, and non-alcoholic steatohepatitis in 65/33; mean follow-up±SD was 25±9/19±21 months; and the number of deaths at 3-6-12 months was 57-102-142/31-47-99, respectively. C-statistics ranged from 0.66 to 0.72 in TIPS and 0.66 to 0.76 in non-TIPS cohorts across prediction times and scores. A post hoc analysis revealed worse c-statistics in non-viral cirrhosis with more pronounced and significant worsening in the non-TIPS cohort. Calibration was acceptable with MELD-TIPS but largely unsatisfactory with MELD-Mayo and -UNOS whose performance improved much after recalibration. A prognostic analysis showed that age, albumin, and TIPS indication might be used to update the MELD. Conclusions In this validation study, the performance of the MELD score was largely unsatisfactory, particularly in non-viral cirrhosis. MELD recalibration and candidate variables for an update to the MELD score are proposed. Lay summary While the discriminative performance of the model for end-stage liver disease (MELD) score is credited to be fair to good, its calibration, the correspondence of observed to predicted mortality, is still unsettled. We found that application of 3 different versions of the MELD in 2 independent cirrhosis cohorts yielded largely imprecise mortality predictions particularly in non-viral cirrhosis. Thus, we propose a recalibration and suggest candidate variables for an update to the model.

The unique sensory characteristics of extra virgin olive oil (EVOO) depends upon its volatile composition. This work investigates the impact of olive fruit harvesting time and growing location on the volatile composition of the obtained EVOO, on four typical Spanish olive varieties (Cornicabra, Picual, Castellana, Manzanilla Cacerena). Several growing locations within the Madrid region (Spain) were studied to assess the natural variability attributed to the environmental factors. Aroma compounds were analysed by Solid-Phase Microextraction coupled with Gas-Chromatography and Mass Spectrometry (HS-SPME-GC/MS), and sensory analysis. A considerable different behaviour was observed depending on the olive variety and ripening stage. Statistically significant differences were obtained for volatile compounds that biosynthesised from the lipoxygenase pathway and other fatty acid metabolism routes, which resulted in significant differences in their aroma profiles. Practical application: These results have practical applicability for the olive oil industry and regulatory bodies. For example, for Protected Designation of Origin (PDO) EVOOs the aroma profile needs to be consistent over different production lots. The outcome of this research is of interest to the olive oil industry to get a better insight into the expected variability and interaction among cultivars, small pedoclimatic differences within the same broader area, and the harvesting date on the sensory and volatile profile of the resulting EVOO. This article is protected by copyright. All rights reserved

The special nature of hyperspectral imaging (HSI) data requires special image analysis treatments using mathematical, statistical, and software programming approaches. These operations are crucial in building an automatic computer-integrated HSI system qualified for nondestructive assessment of various food quality traits. The theory, fundamentals, and principles of such a system and all accompanying methods associated with the development of robust image processing algorithms of hyperspectral images are explored and reported in this chapter. The quality of the acquired hyperspectral images, the way of extracting spectral fingerprints, and methods of data modeling have substantial effects on the outcomes of the analyses and processing. Fundamental image analysis operations experienced on hyperspectral images during food quality evaluation processes are the cornerstone of this technique. The explored methodologies will have positive impacts not only for food engineers and scientists but also for the food industry willing to adopt this technology in their premises. The strategy applied for image processing for analyzing and visualizing the final results is extremely important to identify the proper decision in detection, classification, quantification, and/or prediction processes. The applications of HSI systems in different sorts of agrifood products were reported with specific examples to demonstrate the potential of such systems in a wide range of analytical tasks. At the end of this chapter, the reader can realize the great capabilities of HSI systems as a novel emerging technique for noninvasive estimation of quality parameters, which proofs why this technology received great acceptance from scientific communities and gained a rapid interest from researchers and food industries. Therefore the state of the art for HSI is expected to gain more and more applications in food analysis and characterization.

This study aimed to develop an oil-in-water emulsion with the presence of proteins, to be used as an ingredient in meat products. The emulsion can be used to increase the protein content of the final formulation, and the effect of the presence of proteins in the emulsion was assessed in terms of rheological and sensory properties of the meat products. Five emulsion formulations were designed, by changing the ratios of sodium caseinate, beef rumen, sunflower oil, and water. The emulsion formulated with 10% sodium caseinate, 10% beef rumen, 35% oil, and 45% water provided the optimal protein:fat/oil:water ratio and was suggested for further use as an additive in meat products. It was determined that the addition of 15–20% of O/W emulsion in the composition of forcemeats increases the water and fat-holding capacities and emulsifying ability to the maximum rate compared to the sample without O/W emulsion, which improves the consistency of minced meat. It was found that the addition of 15% of O/W emulsion increases the total number of PUFA up to 55.7%, MUFA up to 25.2%, while the content of SFA decreased to 19.2%.

Molecular gastronomy is a novel discipline within the food science area. Its main difference with the traditional food science and technology studies is its focus on kitchen restaurant and home kitchen levels. The collaboration among food scientists (food chemists, food engineers, sensory scientists, etc.) and innovative chefs led to the implementation of a new approach to cooking, often referred to as “science-based cooking” or “molecular cooking.” This implies implementing new techniques, tools, or ingredients borrowed from scientific laboratories. In parallel, a closer look at the kitchen led scientists to investigate phenomena or methods that are often ignored by food scientists. The difference between molecular gastronomy and conventional food science has been discussed in this chapter, with some examples related to studies on olive oil, sous-vide cooking, the use of liquid nitrogen and ultrasound treatment, as well as the technique called “spherification.” The importance of food pairing in haute-cuisine restaurants and for researchers in the area of sensory science has been highlighted, with the presentation of the theoretical/computational approach based on the so-called flavor network and reporting some results based on empirical laboratory-based studies. The negative outcome of these investigations proves the difficulties of simplifying such a complex system, in which odor, taste-active compounds, texture, and other factors interact, and additional complexity is added by cooking itself. Also, the final consumers’ experience depends on other factors such as the dish presentation and their general expectations.

The type of yeast strain used for wine alcoholic fermentation dramatically affects its final volatile composition and, therefore, its sensory properties. In this study, the influence of four oenological Saccharomyces strains (three S. cerevisiae and one S. bayanus) on wine volatile composition was determined on the Fiano variety, a typical cultivar from the Campania region (Italy), fermented in oak barrique. Fiano wines were analyzed by means of gas chromatography/mass spectrometry (GC/MS) and gas chromatography/olfactometry (GC/O). The results showed that the four selected yeast strains had a significant impact on the majority of volatile compounds as shown by the concentration of volatile compounds and based on the Aroma Extract Dilution Analysis (AEDA) values for many of the odor volatile compounds. This resulted in a dramatic change of the odor impact of the wines, such as the “fruity” attribute, which was higher compared to the control, and caused some changes of other odor attributes, particularly “floral”, “phenolic” and “honey”. This research demonstrates the potential of using these selected yeast strains and this technological approach of oak fermentation for this typical white wine grape variety.

Background Gaps of knowledge still exist about the potential association between severe thrombocytopenia and increased risk of procedure‐associated bleeding in patients with liver disease. Methods In this narrative review, we aimed at examining the association between procedure‐related bleeding risk and platelet count in patients with cirrhosis and severe thrombocytopenia in various settings. We updated to 2020 a previously conducted literature search using MEDLINE/PubMed and EMBASE. The search string included clinical studies, adult patients with chronic liver disease and thrombocytopenia undergoing invasive procedures, any interventions and comparators, and haemorrhagic events of any severity as outcome. Results The literature search identified 1276 unique publications, and 15 studies met the inclusion criteria and were analysed together with those identified by the previous search. Most of the new studies included in our analysis did not assess the association between post‐procedural bleeding risk and platelet count alone in patients with chronic liver disease. Furthermore, some results could have been biased by prophylactic platelet transfusions. A few studies found that severe thrombocytopenia may be predictive of bleeding following percutaneous liver biopsy, dental extractions, percutaneous ablation of liver tumours and endoscopic polypectomy. Conclusions Currently available literature cannot support definitive conclusions about the appropriate target platelet counts to improve the risk of bleeding in cirrhotic patients who underwent invasive procedures; moreover, it showed enormous variability in the use of prophylactic platelet transfusions.

Olive oil is the product obtained from the olive fruit. Several grades can be obtained, extra virgin olive oil being the top category. The balanced fatty acid composition of olive oil, particularly its high content of oleic acid, makes this product nutritionally important. In addition, virgin olive oil contains bioactive compounds such as unsaponifiable constituents and phenolic compounds. Polar phenols and volatile compounds are two of the most interesting classes of compounds in olive oil. The scientifically proven beneficial health effects related to VOO consumption and the unique sensory properties of this product make it versatile for several culinary uses. This chapter reviews olive oil composition, focusing on the flavour-active compounds and their changes due to the variety, environmental conditions, processing and technological factors. The culinary uses of olive oils are then presented, with emphasis on traditional uses, possible food pairing and innovative applications including substitution of other fats and molecular gastronomy.

Increasing awareness about the use of compounds obtained from natural sources exerting health-beneficial properties, including antimicrobial and antioxidant effects, led to increased number of research papers focusing on the study of functional properties of target compounds to be used as functional foods or in preventive medicine. Pomegranate has shown positive health properties due to the presence of bioactive constituents such as polyphenols, tannins, and anthocyanins. Punicalagin is the major antioxidant, abundantly found in pomegranate's peel. Research has shown that pomegranate polyphenols not only have a strong antioxidant capacity but they also inhibit the growth of pathogenic bacteria like V. cholera, P. aeruginosa and S. aureus, B. cereus, E. coli, and S. virulence factor, and inhibits fungi such as A. Ochraceus, and P. citrinum. Compounds of natural origin inhibit the growth of various pathogens by extending the shelf life of foodstuffs and assuring their safety. Therefore, the need to find compounds to be used in combination with antibiotics or as new antimicrobial sources, such as plant extracts. On the basis of the above discussion, this review focuses on the health benefits of pomegranate, by summarizing the current body of research focusing on pomegranate bioactive constituents and their therapeutic potential against some pathogenic microbes.

Background & Aims: The ANSWER study reported that long-term albumin administration in patients with cirrhosis and uncomplicated ascites improves survival. During treatment, serum albumin increased within a month and remained stable thereafter. In this post hoc analysis, we aimed to determine whether on-treatment serum albumin levels could guide therapy. Methods: Logistic regression was used to assess the association between baseline serum albumin and mortality, as well as to determine on-treatment factors associated with mortality and to predict the achievement of a given on-treatment serum albumin level. Survival was assessed by Kaplan-Meier estimates and second-order polynomial regression. Patients whose on-treatment serum albumin remained below normal were compared with a subset of patients from the control arm matched by principal score. Results: Baseline serum albumin was closely associated with 18-month mortality in untreated patients; albumin treatment almost effaced this relationship. On-treatment serum albumin and MELD-Na at month 1 were the sole independent variables associated with mortality. Second-order polynomial regression revealed that survival improved in parallel with increased 1-month on-treatment serum albumin. Kaplan-Meier estimations showed that any value of 1-month on-treatment serum albumin (0.1 g/dl intervals) in the range 2.5–4.5 g/dl discriminated patient survival. In the normal range of serum albumin, the best discriminant value was 4.0 g/dl. Compared to untreated patients, survival even improved in patients whose on-treatment serum albumin remained below normal. Conclusion: Baseline serum albumin per se should not guide the decision to start albumin therapy. Conversely, 1-month on-treatment serum albumin levels are strongly associated with outcomes and could guide the use of albumin – 4.0 g/dl being the target threshold. However, even patients whose serum albumin remains below normal benefit from long-term albumin administration. Lay summary: The ANSWER study has shown that long-term albumin administration improves survival and prevents the occurrence of major complications in patients with cirrhosis and ascites. This study shows that the achievement of these beneficial effects is related to a significant increase in serum albumin concentration. Even though the best results follow the achievement of a serum albumin concentration of 4 g/dl, a survival benefit is also achieved in patients who fail to normalise serum albumin.

Background: Extra virgin olive oil (EVOO) volatile composition is mainly used as a means of characterisation and authentication, especially for protected denomination of origin (PDO) products. This work investigated the volatile compounds from 25 EVOOs from four Spanish (Cornicabra, Manzanilla Castellana, Picual and Manzanilla Cacerena) and four Italian (Ortice, Ravece, Nocellara del Belice and Itrana) cultivars in terms of odour activity value (OAV). Forty-seven volatile compounds were analysed by solid phase microextraction gas chromatography/mass spectrometry (SPME-GC/MS). OAVs of volatile compounds with similar descriptors were grouped in order to establish eight odorant series: fruity, grass, apple, tomato, floral, woody-spicy, fatty and mushroom.; Results: No differences in sensory descriptors were observed among the EVOOs analysed by official VOO sensory analysis. The method of odorant series applied herein was demonstrated to successfully characterise EVOO odour as expected from a sensory panel but using only instrumental analysis of volatile compounds, and giving additional reliable quantitative information. The results can be presented as a 'barcode', providing a visual and effective graphical representation allowing an easy and rapid description of EVOO sensory attributes using instrumental data.; Conclusion: The odorant series have the potential to better differentiate the aroma of food products, opening new possibilities allowing a schematic and effective visual representation to be used for EVOO quality control and consumer information, especially in new olive oil consuming countries. © 2018 Society of Chemical Industry.; © 2018 Society of Chemical Industry.

Butyric acid (butyrate) is a candidate marker of milk fat in complex fat blends, since it is exclusive of milk triacylglycerols (TAGs) from different ruminant species. In this work, we determined the amount of milk fat used for the preparation of fat blends by 13C Nuclear Magnetic Resonance (13C NMR) spectroscopy-based quantification of butyrate. When tested on fat samples spiked with known amounts of reference bovine milk fat (BCR-519 certified material), the relative composition of the mixtures was reliably assessed through the integration of the diagnostic 13C NMR carbonyl (C1) or ?-carbonyl methylene (C2) resonances of butyrate. NMR data exhibited strict correlation with high resolution-gas chromatography (GC) of fatty acid methyl esters (R2?=?0.99), which was used as an independent and well-established method for the determination of butyrate. Thus, 13C NMR can be used for the direct assessment of milk fat content in fat mixtures, at a limit of detection lower than 5%, with clear advantages over the traditional GC methods in terms of speed, robustness and minimal sample handling. The natural variability of butyrate in milk has been taken into account to estimate the uncertainty associated with the milk fat content in unknown fat blends.

Background. The use of direct antiviral agents (DAA) has radically modified the course of HCV hepatitis in renal patients. Aim of this study was to assess the effects of HCV eradication on quality of life (QOL) in renal transplant recipients (RTR), measured by CLDQ and SF-36. Methods. Sixteen RTR with well preserved GFR (mean: 60.3±19.3 ml/min) and chronic HCV infection with moderate liver stiffness (9.3±1.7 kPa) were given a sofosbuvir-based regimen for 12 weeks and had a 1 year follow-up. Results. At end of treatment (EOT) a complete viral clearance was observed in all the patients, with normalization of most laboratory data and a consistent reduction in liver stiffness. All these parameters remained stable after 1 year, as well as renal function and proteinuria. Questionnaire data showed consistent amelioration in different “emotional” domains at EOT, which persisted after 1 year and were associated with a globally improved QOL, although there was no change in most of the “physical” domains in both questionnaires. One patient under ribavirin developed an acute anemia and withdrew from the study, but no further adverse episode was observed throughout the study. Conclusions. Our data, while confirming the efficacy of oral DAA, show that HCV infection represents a heavy psychological burden in renal transplant recipients, greatly alleviated by viral eradication, which determines a significant improvement in QOL that represents an important outcome in management of all transplant recipients. This trial is registered with ISRCTN97560076.

The western diet high in fat and fructose may cause metabolic disorders and cardiovascular diseases.To evaluate whether long-term daily vitamin DThree groups of rats were fed for 6 months with standard diet (SD), western diet (WD) or WD containing 23 IU/day/rat vitamin DSixty-one per cent of hepatocytes in WD rats had steatotic vacuoles compared with just 27% in rats on a WD plus vitamin DIn animal models of liver and cardiovascular metabolic damage, the supplementation of vitamin D

The direct use of phenolic extracts from grape by-products can be useful when formulating functional food to improve consumer health. The use of phenolic extracts instead of pure polyphenols as an ingredient is relevant in this context. The present study investigated the bioavailability and absorption of polyphenols from grape by-product extracts and their health effect on cholesterolemia, by adding the extract (GE) to Wistar rats diet (50 g kg-1 ) in vivo.; Results: GE caused the appearance of (+)-catechin, myricetin and quercetic acid in plasma and liver. (+)-Catechin was the most abundant compound (6 μg mL-1 in plasma and 0.7 μg mg-1 protein in liver), whereas no phenolic compounds were detected in plasma or liver in the control group. Similarly, 3,4-hydroxyphenylacetic, a major product of polyphenol digestion, was detected in the plasma, liver and urine of the GE-group only. GE-group had significantly lower cholesterol level and lower total cholesterol/high-density lipoprotein ratio in plasma. Total bile acid content significantly increased in fecal matter after 24 h administration of the GE-enriched diet.; Conclusion: Grape extract polyphenols are partially bioavailable and showed improvement in lipid metabolism. Thus, the results suggest that GE is promising as a functional ingredient in the prevention of hypercholesterolemia. © 2018 Society of Chemical Industry.; © 2018 Society of Chemical Industry.

The Fracture Risk Assessment (FRAX) tool has been developed to estimate patients' 10-yr probability of fracture, thus establishing which patients should undergo dual-energy X-ray Absorptiometry (DXA) scan. This study aimed to evaluate if the FRAX tool can replace or optimize the use of DXA scan in celiac disease (CD). We prospectively enrolled all CD patients aged over 40 yr diagnosed at our third-level unit. At time of CD diagnosis, all patients underwent FRAX score calculation for risk of major osteoporotic and hip fractures and DXA scan (used as gold standard) to assess the accuracy of the FRAX score. The FRAX score calculation was based on the following 10 variables: age (>40 yr), sex (M/F), body mass index, history of previous fracture (yes/no), parent fractured hip (yes/no), current smoking (yes/no), use of steroids (yes/no), rheumatoid arthritis (yes/no), secondary osteoporosis (yes/no), and alcohol ≥3 units/d (yes/no). DXA assessment was performed within 1 week from FRAX calculation. The FRAX score was dichotomized as normal or pathologic in accordance with the National Osteoporosis Guideline Group. A total of 160 CD patients were enrolled (M/F = 20/140; mean age 48.7 yr). A pathologic FRAX score was evident in 14 out of 160 patients (8.7%), whereas osteoporosis based on DXA scan was found in 10 patients (6%) (κ = 0.6); 3 patients with osteoporosis (1.9%) showed a 10-yr risk of major fracture >10% according to the National Osteoporosis Guideline Group criteria. With regard to diagnostic accuracy, the FRAX score showed sensitivity of 0%, specificity of 91%, positive predictive value of 0%, and negative predictive value of 94%. The prevalence of osteoporosis in adult CD appears to be quite low and only a small proportion of patients would require a DXA investigation. The FRAX score could be an effective tool to avoid useless DXA scans in CD patients in view of its high negative predictive value.

Hyperspectral imaging (1000–2500 nm) was used for rapid prediction of moisture and total lipid content in intact green coffee beans on a single bean basis. Arabica and Robusta samples from several growing locations were scanned using a “push-broom” system. Hypercubes were segmented to select single beans, and average spectra were measured for each bean. Partial Least Squares regression was used to build quantitative prediction models on single beans (n = 320–350). The models exhibited good performance and acceptable prediction errors of ∼0.28% for moisture and ∼0.89% for lipids. This study represents the first time that HSI-based quantitative prediction models have been developed for coffee, and specifically green coffee beans. In addition, this is the first attempt to build such models using single intact coffee beans. The composition variability between beans was studied, and fat and moisture distribution were visualized within individual coffee beans. This rapid, non-destructive approach could have important applications for research laboratories, breeding programmes, and for rapid screening for industry., Graphical abstract Image 1, Highlights • Intact single green coffee beans were analysed for their moisture and fat content by HSI. • NIR Hyperspectral imaging was applied to develop PLS calibrations for these constituents. • The PLSR performance showed a performance comparable with traditional NIR instrumentation. • A classification model was successfully applied by PLS-DA to discriminate Arabica vs Robusta.

Highlights • HSI was applied for non-destructive prediction of total protein content in wheat kernels. • Above 2100 wheat kernels were taken from ~200 batches and individually analysed. • PLS regression models had R2 = 0.82 and prediction error lower than 0.93%. • Protein distribution had wide range (6–20%) and was visualised by applying the calibration. • The performance of HgGcTe was superior to the one built by simulating InGaAs sensors., Hyperspectral imaging (HSI) combines Near-infrared (NIR) spectroscopy and digital imaging to give information about the chemical properties of objects and their spatial distribution. Protein content is one of the most important quality factors in wheat. It is known to vary widely depending on the cultivar, agronomic and climatic conditions. However, little information is known about single kernel protein variation within batches. The aim of the present work was to measure the distribution of protein content in whole wheat kernels on a single kernel basis, and to apply HSI to predict this distribution. Wheat samples from 2013 and 2014 harvests were sourced from UK millers and wheat breeders, and individual kernels were analysed by HSI and by the Dumas combustion method for total protein content. HSI was applied in the spectral region 980–2500 nm in reflectance mode using the push-broom approach. Single kernel spectra were used to develop partial least squares (PLS) regression models for protein prediction of intact single grains. The protein content ranged from 6.2 to 19.8% (“as-is” basis), with significantly higher values for hard wheats. The performance of the calibration model was evaluated using the coefficient of determination (R2) and the root mean square error (RMSE) from 3250 samples used for calibration and 868 used for external validation. The calibration performance for single kernel protein content was R2 of 0.82 and 0.79, and RMSE of 0.86 and 0.94% for the calibration and validation dataset, enabling quantification of the protein distribution between kernels and even visualisation within the same kernel. The performance of the single kernel measurement was poorer than that typically obtained for bulk samples, but is acceptable for some specific applications. The use of separate calibrations built by separating hard and soft wheat, or on kernels placed on similar orientation did not greatly improve the prediction ability. We simulated the use of the lower cost InGaAs detector (1000–1700 nm), and reported that the use of proposed HgCdTe detectors over a restricted spectral range gave a lower prediction error (RMSEC = 0.86% vs 1.06%, for HgCdTe and InGaAs, respectively), and increased R2 value (Rc2 = 0.82 vs 0.73).

Hyperspectral imaging (HSI) combines spectroscopy and imaging, providing information about the chemical properties of a material and their spatial distribution. It represents an advance of traditional Near-Infrared (NIR) spectroscopy. The present work reviews the most recent applications of NIR spectroscopy for cereal grain evaluation, then focused on the use of HSI in this field. The progress of research from ground material to whole grains and single kernels is detailed. The potential of NIR-based methods to predict protein content, sprout damage and α-amylase activity in wheat and barley is shown, in addition to assessment of quality parameters in other cereals such as rice, maize and oats, and the estimation of fungal infection. This analytical technique also offers the possibility to rapidly classify grains based on properties such as variety, geographical origin, kernel hardness, etc. Further applications of HSI are expected in the near future, for its potential for rapid single-kernel analysis.

We investigated the role of HFE C282Y, H63D, and TMPRSS6 A736V variants in the pathogenesis of iron deficiency anemia (IDA) in celiac disease (CD) patients, at diagnosis and after 1 year of gluten-free diet (GFD). Demographic and clinical features were prospectively recorded for all CD patients between 2013 and 2017. C282Y, H63D, and A736V variants were evaluated for CD patients and controls. Finally, 505 consecutive CD patients and 539 age-matched control subjects were enrolled. At diagnosis, 229 CD subjects had IDA (45.3%), with a subgroup of anemic patients (45.4%) presented persistent IDA at follow-up. C282Y allele frequency was significantly increased in CD compared with controls (1.1% vs 0.2%, P = .001), whereas H63D and A736V allele frequencies were similar among patients and controls (P = .92 and .84, respectively). At diagnosis, C282Y variant in anemic CD patients was significantly increased compared to nonanemic group (2% and 0.5%, P = .04). At follow-up, A736V was significantly increased in IDA persistent than in IDA not persistent (57.7% vs 35.2%, P

Available data on HBV prevalence in Italy are outdated and assessed with studies conducted in small towns. We aimed to evaluate prevalence of and risk factors for HBV infection in the metropolitan area of Naples, 24 years after the introduction of mass vaccination campaign against Hepatitis B in Italy.A random systematic sample of the adult general population of Naples was selected from the register of 3 general practitioners in 3 different socio-economic districts. Independent predictors of the likelihood of HBV infection were identified by logistic regression analysis.Among 900 selected subjects, 772 (85.8%) participated in the study. The overall HBsAg and anti-HBc prevalences were 1.7% and 14.4%, respectively. Both markers were more likely detected in the district at low socioeconomic status than in those at medium-high status (p0.01). Anti-HBc prevalence linearly increased from 0% in subjects 30 years old or younger to 28.0% in those older than 60 years of age (p0.01). At multivariate analysis, age60 years (OR3.38; 95%CI:1.98-5.74), low socioeconomic district of residence (OR3.26; 95%CI:1.72-6.18), and low educational qualification (OR2.73; 95%CI:1.45-5.16) were independent predictors of anti-HBc positivity.Differences in socioeconomic conditions have played a major role in the past spread of HBV infection in Naples. Hepatitis B vaccination has resulted very effectively in preventing HBV infection, regardless of the district of residence, as none of the subjects in the vaccinated cohorts was exposed to the infection.

Introduction: Hepatitis C virus (HCV) infection is a major cause of chronic liver disease, with approximately 71 million chronically infected individuals worldwide. Treatment of chronic hepatitis C has considerably improved in the last few years thanks to the introduction of direct-acting antivirals able to achieve sustained virological response in more than 95% of patients. Successful anti-HCV treatment can halt liver disease progression and solve the HCV-related extra-hepatic manifestations, eventually reducing liver-related and overall mortality. Areas covered: With the aim to respond to unmet needs in patient’s identification, universal access to antiviral therapy and treatment optimization in specific setting of HCV-infected patients, a group of Italian experts met in Stresa in May 2018. The summary of the considerations arising from this meeting and the final statements are reported in this paper. Expert commentary: All the advances on HCV cure may have a real clinical impact not only in individual patients but also at the social health level if they are applied to all infected patients, independently from the stage of liver disease. Further improvements are needed in order to attain HCV elimination, such as the development of an enhanced screening program working in parallel to the present treatment options.

Highlights • Quantitative calibrations were built from shelled and in-shell single cocoa beans by HSI. • The fat content of commercial batches of cocoa beans varies by up to 15% within batches. • HSI prediction of the total lipid content was successful for shelled and unshelled beans. • Segregation using HSI fat calibration enhanced cocoa bean fat content by 6%., This work aimed to explore the possibility of predicting total fat content in whole dried cocoa beans at a single bean level using hyperspectral imaging (HSI). 170 beans randomly selected from 17 batches were individually analysed by HSI and by reference methodology for fat quantification. Both whole (i.e. in-shell) beans and shelled seeds (cotyledons) were analysed. Partial Least Square (PLS) regression models showed good performance for single shelled beans (R2 = 0.84, external prediction error of 2.4%). For both in-shell beans a slightly lower prediction error of 4.0% and R2 = 0.52 was achieved, but fat content estimation is still of interest given its wide range. Beans were manually segregated, demonstrating an increase by up to 6% in the fat content of sub-fractions. HSI was shown to be a valuable technique for rapid, non-contact prediction of fat content in cocoa beans even from scans of unshelled beans, enabling significant practical benefits to the food industry for quality control purposes and for obtaining a more consistent raw material.

Non-alcoholic-fatty liver disease (NAFLD) is spreading worldwide. Specific drugs for NAFLD are not yet available, even if some plant extracts show beneficial properties. We evaluated the effects of a combination, composed by Berberis Aristata, Elaeis Guineensis and Coffea Canephora, on the development of obesity, hepatic steatosis, insulin-resistance and on the modulation of hepatic microRNAs (miRNA) levels and microbiota composition in a mouse model of liver damage. C57BL/6 mice were fed with standard diet (SD, n = 8), high fat diet (HFD, n = 8) or HFD plus plant extracts (HFD+E, n = 8) for 24 weeks. Liver expression of miR-122 and miR-34a was evaluated by quantitativePCR. Microbiome analysis was performed on cecal content by 16S rRNA sequencing. HFD+E-mice showed lower body weight (p &lt, 0.01), amelioration of insulin-sensitivity (p = 0.021), total cholesterol (p = 0.014), low-density-lipoprotein-cholesterol (p &lt, 0.001), alanine-aminotransferase (p = 0.038) and hepatic steatosis compared to HFD-mice. While a decrease of hepatic miR-122 and increase of miR-34a were observed in HFD-mice compared to SD-mice, both these miRNAs had similar levels to SD-mice in HFD+E-mice. Moreover, a different microbial composition was found between SD- and HFD-mice, with a partial rescue of dysbiosis in HFD+E-mice. This combination of plant extracts had a beneficial effect on HFD-induced NAFLD by the modulation of miR-122, miR-34a and gut microbiome.

Olive mill wastewater (OMW) is a pollutant by-product from the virgin olive oil production. Its high content in phenolic compounds makes them play an important role for their use in foods, for their high antioxidant significance. The present paper gives an overview on the techniques for OMW valuable ingredient separation, focusing on the most effective ones for their use in food products as functional ingredients. We report on effective methods to recover OMW phenolics, and give several examples on the use these extracts in foods. When added into vegetable oils, their effect on retarding lipid oxidation improves the oxidative status of the product, whilst several challenges need to be faced. OMW phenolic extracts were also used in food emulsions, milk products or other model systems, showing promising results and little or no negative impact on the sensory characteristics or other properties. Their possible use as antimicrobial agents is also another promising approach, as positive results were obtained when applied in meat products. Other examples of using natural phenolic extracts from other sources are suggested also for OMW extracts, to expand their use and thus to improve the nutritional and technological quality of foods.