본 연구는 현존하는 여덟 개의 〈뿔피리를 부는 제빵사〉 작품이 산발적으로 우연히 등장한 것이 아닌 서로 유기적인 영향관계를 주고 받으며 생산된 하나의 도상으로 살펴보았다. “뿔피리를 부는 제빵사” 그림에 대한 현재까지의 연구는 대부분 그림에 나타나 있는 다양한 빵들을 성만찬을 의미하는 종교적 상징으로 해석하고 있다. 이에 반해 본 연구는 “뿔피리를 부는 제빵사” 도상이 유독 17세기 중후반 네덜란드에서 생산된 사실에 주목하고, 그 이유를 동시대 네덜란드인들의 일상에 직접적인 영향을 주었던 빵의 생산 및 공급 그리고 유통과정에서 찾고자 한다. 여기에는 빵이 당대 네덜란드인들의 식생활 뿐 아니라 그들의 경제생활 더나아가 국가경제 전체에 어떤 중요한 역할을 했는지에 대한 연구가 선행되어야 한다. 주로 풍속화의 전통으로 해석되었던 “뿔피리를 부는 제빵사” 그림은 본 연구에서 풍속화와 초상화 두 장르가 혼합한 도상으로 다루어졌으며, 이제까지의 연구에서 미흡했던 초상화로서의 가능성이 적극적으로 제기되었다. 제빵사의 초상화 또는 화가의 자화상으로 생산된 〈뿔피리를 부는 제빵사〉의 시대적 배경에는 제빵사의 경제적 여유와 사회적 지위상승 그리고 제빵사를 영혼의 양식을 공급하는 고귀한 직업으로 승화시킨 칼비니즘의 영향이 있다. 제빵사들이 부를 축적할 수 있었던 배경에는 국가가 나서서 빵의 생산과 공급을 철저하게 관리해준 덕분이었다. 17세기 네덜란드의 제빵사들은 길드에 속해야만 빵을 팔 수 있었고 각 제빵사들의 빵 만드는 법은 외부인들에게 절대로 공개되지 않았다. 동시에 당시 네덜란드인들은 세금을 내지 않고는 빵을 먹기가 힘들었다. 이런 이유로 개인의 집에 오븐을 설치하는 것은 금지되었고, 빵은 꼭 관헌들에게 세금을 내는 합법적인 제빵사에게서만 살 수 있었다. 이렇게 17세기 네덜란드는 직업으로서 빵 굽는 사람을 보호하는 동시에 단속하기 위해 매우 엄격한 규정을 제정하였다. 17세기 네덜란드인들에게 빵은 그들의 식생활 뿐 아니라 그들의 다양한 직업과도 관련이 있었으며 빵의 생산과 유통과정에 개입한 국가의 권위와 통제를 상징하기도 한다. 빵의 생산과 유통에 붙는 세금은 국가의 경제를 지탱하고 발전시키는데 중요한 재원이었으며, 동시에 국민들을 엄격하게 관리함으로써 국가의 질서를 세우기 위한 효과적인 방편이었다. 빵가격은 변동이 심한 곡물가격과 빵의 크기에 따라서 엄격하게 결정되었다. 네덜란드정부는 평상시에 빵의 공식적인 무게와 가격을 고정시켰는데, 이는 다른 음식에서는 찾아볼 수 없는 유일한 관리방식이었다. 따라서 동시대 네덜란드인들에게 빵은 국가의 적극적인 개입과 관리체계를 통해서만 그들의 입에 넣을 수 있는 음식이었다. 이러한 맥락에서 볼 때, 본 연구에서 다룬 〈뿔피리를 부는 제빵사〉 그림에서 풍성하게 차려진 다양한 빵은 경제적인 풍요와 정치적인 안정을 의미한다. 여러 가지 다양한 음식 중에서도 빵이 이러한 의미를 가장 효과적으로 전달한다는 점에서 〈뿔피리를 부는 제빵사〉 그림에서 빵은 당시 네덜란드의 물질적 풍요뿐만 아니라 국가의 번영과 안녕을 의미한다고 볼 수 있다.

17세기 네덜란드 미술에 나타난 빵의 사회사

NMR spectroscopy for metabolomics and metabolic profiling.

Nuclear magnetic resonance (NMR) spectroscopy is a robust method, which can rapidly analyze mixtures at the molecular level without requiring separation and/or purification steps, making it ideal for applications in food science. Despite its increasing popularity among food scientists, NMR is still an underutilized methodology in this area, mainly due to its high cost, relatively low sensitivity, and the lack of NMR expertise by many food scientists. The aim of this review is to help bridge the knowledge gap that may exist when attempting to apply NMR methodologies to the field of food science. We begin by covering the basic principles required to apply NMR to the study of foods and nutrients. A description of the discipline of chemometrics is provided, as the combination of NMR with multivariate statistical analysis is a powerful approach for addressing modern challenges in food science. Furthermore, a comprehensive overview of recent and key applications in the areas of compositional analysis, food authentication, quality control, and human nutrition is provided. In addition to standard NMR techniques, more sophisticated NMR applications are also presented, although limitations, gaps, and potentials are discussed. We hope this review will help scientists gain some of the knowledge required to apply the powerful methodology of NMR to the rich and diverse field of food science.

Nuclear Magnetic Resonance (NMR) Spectroscopy in Food Science: A Comprehensive Review.

Two-dimensional nuclear magnetic resonance (2D NMR) spectroscopy is widely used in chemical and biochemical analyses. Multidimensional NMR is also witnessing increased use in quantitative and metabolic screening applications. Conventional 2D NMR experiments, however, are affected by inherently long acquisition durations, arising from their need to sample the frequencies involved along their indirect domains in an incremented, scan-by-scan nature. A decade ago, a so-called ultrafast (UF) approach was proposed, capable of delivering arbitrary 2D NMR spectra involving any kind of homo- or heteronuclear correlation, in a single scan. During the intervening years, the performance of this subsecond 2D NMR methodology has been greatly improved, and UF 2D NMR is rapidly becoming a powerful analytical tool experiencing an expanded scope of applications. This review summarizes the principles and main developments that have contributed to the success of this approach and focuses on applications that have been recently demonstrated in various areas of analytical chemistry--from the real-time monitoring of chemical and biochemical processes, to extensions in hyphenated techniques and in quantitative applications.

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Ultrafast 2D NMR: An Emerging Tool in Analytical Spectroscopy

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Recent Advances in NMR-Based Metabolomics.

A scheme via spatially encoded intermolecular zero-quantum coherences was proposed for high-resolution 2D J-resolved spectra in inhomogeneous fields with high acquisition efficiency. Compared to a recent paper (Pelupessy et al. Science, 2009, 324, 1693-1697), the novel method can obtain chemical shifts and J multiplicity patterns directly.

High-Resolution 2D J-Resolved Spectroscopy in Inhomogeneous Fields with Two Scans

High-Resolution Two-Dimensional J-Resolved NMR Spectroscopy for Biological Systems

Spatially encoded ultrafast high-resolution 2D homonuclear correlation spectroscopy in inhomogeneous fields

PURPOSE Single-scan two-dimensional MRI has been generally constrained to acquisitions in high quality magnets. This study introduces a methodology, cross-term spatiotemporal encoding (xSPEN), that delivers such images under much poorer external field conditions. METHODS xSPEN departs from conventional k-space scanning, by relying on spatiotemporally encoding the image being sought. Unlike hitherto proposed SPEN methods, however, xSPEN's image readout does not take place using a field gradient along the direction being probed, but rather with the aid of an ancillary source of inhomogeneous frequency broadening. This ancillary dimension was here imposed by an orthogonal field gradient; for example, images along the "y" axis were read out by application of a "z" gradient. The principles and characteristics of this new approach, compatible with existing scanners and free from the need to collect auxiliary information such as field maps, are presented and discussed. RESULTS Single- and multi-slice in vitro, ex vivo, and in vivo MRI experiments, confirmed the unusual resilience of this new single-shot MRI method to multiple chemical sites on phantoms, animals and humans. CONCLUSION xSPEN can deliver single-scan MRI with good sensitivity and exceptional resilience to field inhomogeneities. This could enable investigations that have hitherto escaped from MRI's scope. Magn Reson Med 77:623-634, 2017. © 2016 International Society for Magnetic Resonance in Medicine.

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Single-scan MRI with exceptional resilience to field heterogeneities.

Quantitative magnetic resonance imaging (MRI) is of great value to both clinical diagnosis and scientific research. However, most MRI experiments remain qualitative, especially dynamic MRI, because repeated sampling with variable weighting parameter makes quantitative imaging time-consuming and sensitive to motion artifacts. A single-shot quantitative T2 mapping method based on multiple overlapping-echo acquisition (dubbed MOLED-4) was proposed to obtain reliable T2 mapping in milliseconds. Different from traditional MRI acceleration methods, such as compressed sensing and parallel imaging, MOLED-4 accelerates quantitative T2 mapping via synchronized multisampling and then deep learning to map the complex nonlinear relationship that is difficult to solve by traditional optimization-based methods. The results of simulation, phantom, and in vivo human brain experiments show the great performance of the proposed method. The principle of MOLED-4 may be extended to other ultrafast quantitative parameter mappings and potentially lead to new dynamic MRI with high efficiency to catch quantitative variation of tissue properties.

Zhiyong Zhang

Papers

High-Resolution 2D J-Resolved Spectroscopy in Inhomogeneous Fields with Two Scans

High-Resolution Two-Dimensional J-Resolved NMR Spectroscopy for Biological Systems

Spatially encoded ultrafast high-resolution 2D homonuclear correlation spectroscopy in inhomogeneous fields

Single-scan MRI with exceptional resilience to field heterogeneities.

Robust Single-Shot T 2 Mapping via Multiple Overlapping-Echo Acquisition and Deep Neural Network