Studio dell'effetto di diverse condizioni di tostatura sulle proprieta fisico-chimiche e biochimiche di nocciole polacche (coryllus avellana l. Var. Katalonski)

In questo lavoro di tesi è stata valutata l’influenza della tostatura a diverse condizioni di tempo e temperatura sulle principali caratteristiche qualitative di nocciole polacche (Coryllus avellana L.) di varietà Kataloński. In particolare, le prove di tostatura sono state condotte a due differenti temperature, 130 e 160 °C, ognuna delle quali applicata rispettivamente per tre diversi tempi: 40, 50, 60 e 20, 25, 30 minuti. Al fine di definire le condizioni ottimali di tostatura, i campioni ottenuti sono stati sottoposti ad analisi colorimetrica (L*,a*,b*), dell’attività dell’acqua e del contenuto in acqua (%). Inoltre, per ottenere un quadro completo della qualità delle diverse nocciole tostate, è stato valutato anche il loro contenuto in composti bioattivi per mezzo della determinazione del contenuto in fenoli totali (metodo del Folin-Ciocalteu), dei singoli composti fenolici (HPLC-MS) e dell’attività antiossidante (metodo dell’ABTS·+). In seguito ad estrazione della frazione lipidica, è stato determinato anche il contenuto in tocoferoli (HPLC-FLD) e lo stato ossidativo delle nocciole tostate per mezzo dell’analisi del numero di perossidi. Infine è stato studiato anche l’effetto della tostatura sullo sviluppo di composti volatili (GC-MS), caratteristici dell’aroma tipico delle nocciole tostate. Questo studio rappresenta un importante screening di valutazione delle nocciole tostate a diversi tempi e temperature e mostra come la temperatura sia un parametro molto importante, con una forte influenza sulle caratteristiche compositive e sensoriali del prodotto finito. Sulla varietà Kataloński non sono presenti lavori in letteratura, questo studio quindi rappresenta una novità per quanto riguarda questa specifica varietà. Le numerose analisi svolte, poi, consentono un ampio quadro dei fenomeni che si verificano durante la tostatura.

Questing Dermacentor reticulatus harbouring Babesia canis DNA associated with outbreaks of canine babesiosis in the Swiss Midlands

In 2011 and 2012, outbreaks of clinical canine babesiosis were observed in 2 areas of the Swiss Midlands that had no history of this disease so far. In one area, cases of canine babesiosis occurred over 2 consecutive tick seasons. The outbreaks involved 29 dogs, 4 of which died. All dogs were infected with large Babesia sp. as diagnosed in Giemsa-stained blood smears and/or PCR. These were identified as B. canis (formerly known as B. canis canis) by subsequent partial sequencing of the 18S rRNA gene of Babesia sp. Interestingly, the sequence indicated either a genotype with heterogeneity in the ssrRNA gene copies or double infection with different B. canis isolates. None of the dogs had a recent travel history, but one had frequently travelled to Hungary and had suffered twice from clinical babesiosis 18 and 24 months prior to the outbreak in autumn 2011. Retrospective sequencing of a stored blood DNA sample of this dog revealed B. canis, with an identical sequence to the Babesia involved in the outbreaks. For the first time in Switzerland, the partial 18S rRNA gene of B. canis could be amplified from DNA isolated from 19 out of 23 adult Dermacentor reticulatus ticks flagged in the same area. The sequence was identical to that found in the dogs. Furthermore, one affected dog carried a female D. reticulatus tick harbouring B. canis DNA. Our findings illustrate that, under favourable biogeographic and climatic conditions, the life-cycle of B. canis can relatively rapidly establish itself in previously non-endemic areas. Canine babesiosis should therefore always be a differential diagnosis when dogs with typical clinical signs are presented, regardless of known endemic areas.

Identification of endocannabinoid system-modulating N-alkylamides from Heliopsis helianthoides var. scabra and Lepidium meyenii.

The discovery of the interaction of plant-derived N-alkylamides (NAAs) and the mammalian endocannabinoid system (ECS) and the existence of a plant endogenous N-acylethanolamine signaling system have led to the re-evaluation of this group of compounds. Herein, the isolation of seven NAAs and the assessment of their effects on major protein targets in the ECS network are reported. Four NAAs, octadeca-2E,4E,8E,10Z,14Z-pentaene-12-ynoic acid isobutylamide (1), octadeca-2E,4E,8E,10Z,14Z-pentaene-12-ynoic acid 2'-methylbutylamide (2), hexadeca-2E,4E,9Z-triene-12,14-diynoic acid isobutylamide (3), and hexadeca-2E,4E,9,12-tetraenoic acid 2'-methylbutylamide (4), were identified from Heliopsis helianthoides var. scabra. Compounds 2-4 are new natural products, while 1 was isolated for the first time from this species. The previously described macamides, N-(3-methoxybenzyl)-(9Z,12Z,15Z)-octadecatrienamide (5), N-benzyl-(9Z,12Z,15Z)-octadecatrienamide (6), and N-benzyl-(9Z,12Z)-octadecadienamide (7), were isolated from Lepidium meyenii (Maca). N-Methylbutylamide 4 and N-benzylamide 7 showed submicromolar and selective binding affinities for the cannabinoid CB1 receptor (Ki values of 0.31 and 0.48 μM, respectively). Notably, compound 7 also exhibited weak fatty acid amide hydrolase (FAAH) inhibition (IC50 = 4 μM) and a potent inhibition of anandamide cellular uptake (IC50 = 0.67 μM) that was stronger than the inhibition obtained with the controls OMDM-2 and UCM707. The pronounced ECS polypharmacology of compound 7 highlights the potential involvement of the arachidonoyl-mimicking 9Z,12Z double-bond system in the linoleoyl group for the overall cannabimimetic action of NAAs. This study provides additional strong evidence of the endocannabinoid substrate mimicking of plant-derived NAAs and uncovers a direct and indirect cannabimimetic action of the Peruvian Maca root.

Sēfer Kōkevā de-šāvît : hû hak-kôkāv ašer ʿāvar ... hay-yir'at šāmayim le-nāšîm ... li-lešôn aškenaz û-niqrā šemô <šṭerin šus>

Digitalisat der Ausg. Amśṭrdm, 1694/95

Ueber die Bemerkungen des Herrn S. M. zu Melo Chofnajim

Abraham Geiger

Ueber eine Stelle in Melo Chofnajim

M. Heß

Using Leading Indicators to Forecast US Home Sales in a Bayesian VAR Framework

This paper uses Bayesian vector autoregressive models to examine the usefulness of leading indicators in predicting US home sales. The benchmark Bayesian model includes home sales, the price of homes, the mortgage rate, real personal disposable income, and the unemployment rate. We evaluate the forecasting performance of six alternative leading indicators by adding each, in turn, to the benchmark model. Out-of-sample forecast performance over three periods shows that the model that includes building permits authorized consistently produces the most accurate forecasts. Thus, the intention to build in the future provides good information with which to predict home sales. Another finding suggests that leading indicators with longer leads outperform the short-leading indicators.