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BEGIN:VEVENT
UID:99104099490ec56dee25cb3fe90248cd
CATEGORIES:Public Events - Lectures
CREATED:20210819T210220
SUMMARY:BSF/SFC Joint Meeting
LOCATION:ZOOM
DESCRIPTION:\n \nThe BSF and the SFC are delighted to welcome Peter Schieberle and Joel
  Mainland for our inaugural joint lecture.\n (https://www.eventbrite.co.uk/
 e/sfc-and-bsf-combined-event-with-peter-schieberle-and-joel-mainland-ticket
 s-191947900337)Buy Tickets\nBuy Tickets on Eventbrite// The Sensomics Appro
 ach: Elucidating the Importance of Single Chemical Constituents in Food Aro
 ma Profiles and Beyond \nUniv. Prof. (em.) Dr. Peter Schieberle Faculty of 
 Chemistry, Technical University Munich\nNumerous consumer surveys confirm t
 hat the main drivers of food acceptance are aroma and taste, thus being the
  main attributes in any given food determining differences in the flavor si
 gnatures. Let’s focus on aroma: What makes a food smell good? It is well es
 tablished today that during food consumption, a certain set of volatile con
 stituents induces a pattern of neural activity in the olfactory bulb locate
 d in the nasal cavity. The complex neural patterns generated at the odorant
  receptor sites are finally “translated” by our brain into a simple percept
 ion telling us, for example, the aroma quality of fruit juices. However, si
 nce the overall aroma profile of juices is significantly influenced by (i) 
 the fruit variety, (ii) the processing conditions or (iii) the storage, the
 re is a clear need to first understand the aroma signature of the respectiv
 e fresh product(the gold standard) on the molecular level. Therefore, only 
 analytical methods based on bioactivity guided approaches will finally be a
 ble to suggest key aroma molecules for a reliable assessment of food qualit
 y, and more important to improve the overall aroma profile of a given produ
 ct e.g., by optimizing industrial processes. In the past four decades, the 
 Sensomics approach, formerly called molecular sensory science, was develope
 d by our group aimed at decoding the aroma signature of foods, i.e., the ex
 act quantitative ratio of the set of key aroma compounds causing the aroma 
 perception at the odorant receptor level. As part of the approach, the anal
 ytical data are finally confirmed by re-engineering the respective food aro
 ma on the basis of the quantitative data exactly displaying the natural con
 centrations in the food itself. Using pineapple juice as an example, in the
  first part of the talk the approach how to characterize complex aromas by 
 breaking down the overall aroma sensation into single “molecular” odor resp
 onses will be presented. Clarification of a thermally induced off flavor fo
 rmation in pineapple juice and molecular reasons for aroma losses during st
 orage of NFC orange juice will be shown. In the second part of the talk, da
 ta on systematic structural modifications in selected key food odorants aim
 ed at characterizing important odotopes, and results on the fate of aroma c
 ompounds in the human body beyond perception in the nasal cavity will be di
 scussed. In the last part of the lecture, briefly a new Sensomics based met
 hod, assigned as “machine smelling”, will be presented on red wine aroma co
 mpounds without the need of GC/olfactometry. This method will make it possi
 ble in the future to detect, quantitate and select key food odorants with a
  single analytical platform.\n \nDigitizing Olfaction: Predicting Odor Char
 acter from Molecular Structure\nJoel D. Mainland, Adjunct Assistant Profess
 or, Department of Neuroscience, University of Pennsylvania\nIf you have a m
 odern phone you can capture a visual scene as a photograph, alter it, send 
 it to a relative in another country in an instant, and store it so you can 
 look at it for years to come. None of this is currently possible in olfacti
 on. In vision and audition we know how to map physical properties to percep
 tion: wavelength translates into color and frequency translates into pitch.
  By contrast, the mapping from chemical structure to olfactory percept is p
 oorly understood, limiting our ability to describe and control odors. This,
  in turn, limits our ability to understand how the olfactory system encodes
  perception. Olfaction has a higher dimensionality than the other senses, b
 ut recent models have shown that with enough data, machine learning techniq
 ues can predict human perception from molecular structure. We hypothesized 
 that the rate-limiting step for building a model that predicts human percep
 tion from molecular structure is the collection of high-quality psychophysi
 cal data. Here I will discuss our work towards predicting the intensity and
  character of both single molecules and complex mixtures. This will allow u
 s to predict the odor of novel molecules and mixtures and paves the way tow
 ard digitizing odors.\nDr. Joel Mainland earned a Ph.D. in neuroscience fro
 m UC Berkeley, where he studied the effects of sniffing on olfactory percep
 tion. He then worked at Duke University where he studied the molecular biol
 ogy of human olfactory receptors.\nDr. Mainland is now an Associate Member 
 at the Monell Chemical Senses Center, where his laboratory examines the rel
 ationship between molecular structure and olfactory perception.\n
X-ALT-DESC;FMTTYPE=text/html:<p><img src="https://www.bsf.org.uk/images/bsf/images/SFC_BSF.jpg" alt="" w
 idth="800" height="450" /></p><p> </p><p data-key="23"><span data-key="24">
 The BSF and the SFC are delighted to welcome Peter Schieberle and Joel Main
 land for our inaugural joint lecture.</span></p><!-- Noscript content for a
 dded SEO --><noscript><a href="https://www.eventbrite.co.uk/e/sfc-and-bsf-c
 ombined-event-with-peter-schieberle-and-joel-mainland-tickets-191947900337"
  rel="noopener noreferrer" target="_blank"></noscript><!-- You can customis
 e this button any way you like --><p style="text-align: center;"><button id
 ="eventbrite-widget-modal-trigger-191947900337" type="button">Buy Tickets</
 button></p><noscript></a>Buy Tickets on Eventbrite</noscript><script src="h
 ttps://www.eventbrite.co.uk/static/widgets/eb_widgets.js"></script><script 
 type="text/javascript">// <![CDATA[    var exampleCallback = function() {  
       console.log('Order complete!');    };    window.EBWidgets.createWidge
 t({        widgetType: 'checkout',        eventId: '191947900337',        m
 odal: true,        modalTriggerElementId: 'eventbrite-widget-modal-trigger-
 191947900337',        onOrderComplete: exampleCallback    });// ]]></script
 ><p data-key="26"><span data-key="27"><strong data-slate-leaf="true">The Se
 nsomics Approach: Elucidating the Importance of Single Chemical Constituent
 s in Food Aroma Profiles and Beyond </strong></span></p><p data-key="28"><s
 pan data-key="29"><em data-slate-leaf="true">Univ. Prof. (em.) Dr. Peter Sc
 hieberle Faculty of Chemistry, Technical University Munich</em></span></p><
 p data-key="30"><span data-key="31">Numerous consumer surveys confirm that 
 the main drivers of food acceptance are aroma and taste, thus being the mai
 n attributes in any given food determining differences in the flavor signat
 ures. Let’s focus on aroma: What makes a food smell good? It is well establ
 ished today that during food consumption, a certain set of volatile constit
 uents induces a pattern of neural activity in the olfactory bulb located in
  the nasal cavity. The complex neural patterns generated at the odorant rec
 eptor sites are finally “translated” by our brain into a simple perception 
 telling us, for example, the aroma quality of fruit juices. However, since 
 the overall aroma profile of juices is significantly influenced by (i) the 
 fruit variety, (ii) the processing conditions or (iii) the storage, there i
 s a clear need to first understand the aroma signature of the respective fr
 esh product(the gold standard) on the molecular level. Therefore, only anal
 ytical methods based on bioactivity guided approaches will finally be able 
 to suggest key aroma molecules for a reliable assessment of food quality, a
 nd more important to improve the overall aroma profile of a given product e
 .g., by optimizing industrial processes. In the past four decades, the Sens
 omics approach, formerly called molecular sensory science, was developed by
  our group aimed at decoding the aroma signature of foods, i.e., the exact 
 quantitative ratio of the set of key aroma compounds causing the aroma perc
 eption at the odorant receptor level. As part of the approach, the analytic
 al data are finally confirmed by re-engineering the respective food aroma o
 n the basis of the quantitative data exactly displaying the natural concent
 rations in the food itself. Using pineapple juice as an example, in the fir
 st part of the talk the approach how to characterize complex aromas by brea
 king down the overall aroma sensation into single “molecular” odor response
 s will be presented. Clarification of a thermally induced off flavor format
 ion in pineapple juice and molecular reasons for aroma losses during storag
 e of NFC orange juice will be shown. In the second part of the talk, data o
 n systematic structural modifications in selected key food odorants aimed a
 t characterizing important odotopes, and results on the fate of aroma compo
 unds in the human body beyond perception in the nasal cavity will be discus
 sed. In the last part of the lecture, briefly a new Sensomics based method,
  assigned as “machine smelling”, will be presented on red wine aroma compou
 nds without the need of GC/olfactometry. This method will make it possible 
 in the future to detect, quantitate and select key food odorants with a sin
 gle analytical platform.</span></p><p data-key="32"> </p><p data-key="33"><
 span data-key="34"><strong data-slate-leaf="true">Digitizing Olfaction: Pre
 dicting Odor Character from Molecular Structure</strong></span></p><p data-
 key="35"><span data-key="36"><em data-slate-leaf="true">Joel D. Mainland, A
 djunct Assistant Professor, Department of Neuroscience, University of Penns
 ylvania</em></span></p><p>If you have a modern phone you can capture a visu
 al scene as a photograph, alter it, send it to a relative in another countr
 y in an instant, and store it so you can look at it for years to come. None
  of this is currently possible in olfaction. In vision and audition we know
  how to map physical properties to perception: wavelength translates into c
 olor and frequency translates into pitch. By contrast, the mapping from che
 mical structure to olfactory percept is poorly understood, limiting our abi
 lity to describe and control odors. This, in turn, limits our ability to un
 derstand how the olfactory system encodes perception. Olfaction has a highe
 r dimensionality than the other senses, but recent models have shown that w
 ith enough data, machine learning techniques can predict human perception f
 rom molecular structure. We hypothesized that the rate-limiting step for bu
 ilding a model that predicts human perception from molecular structure is t
 he collection of high-quality psychophysical data. Here I will discuss our 
 work towards predicting the intensity and character of both single molecule
 s and complex mixtures. This will allow us to predict the odor of novel mol
 ecules and mixtures and paves the way toward digitizing odors.</p><p>Dr. Jo
 el Mainland earned a Ph.D. in neuroscience from UC Berkeley, where he studi
 ed the effects of sniffing on olfactory perception. He then worked at Duke 
 University where he studied the molecular biology of human olfactory recept
 ors.</p><p>Dr. Mainland is now an Associate Member at the Monell Chemical S
 enses Center, where his laboratory examines the relationship between molecu
 lar structure and olfactory perception.</p>
CONTACT:This email address is being protected from spambots. You need JavaScript enabled to view it.
DTSTAMP:20260505T072453
DTSTART;TZID=Europe/London:20211118T190000
DTEND;TZID=Europe/London:20211118T210000
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