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便携式与台式近红外传感器技术在黑松露分类和品质评价中的应用。

Portable vs. Benchtop NIR-Sensor Technology for Classification and Quality Evaluation of Black Truffle.

机构信息

Institute of Analytical Chemistry and Radiochemistry, Leopold-Franzens University Innsbruck, 6020 Innsbruck, Austria.

ADSI-Austrian Drug Screening Institute GmbH, 6020 Innsbruck, Austria.

出版信息

Molecules. 2022 Jan 18;27(3):589. doi: 10.3390/molecules27030589.

Abstract

Truffles represent the best known and most expensive edible mushroom. Known as , they belong to the genus and live in symbiosis with plant host roots. Due to their extraordinary taste and smell, truffles are sold worldwide for high prices of up to 3000-5000 euros per kilogram ( PICO). Amongst black truffles, the species  VITTAD. is highly regarded for its organoleptic properties. Nonetheless, numerous different sorts of black truffle are offered at lower prices, including  VITTAD., and , which represent the most frequently consumed types. Because truffles do not differ visually for inexperienced consumers, food fraud is likely to occur. In particular, for the highly prized , which morphologically forms very similar fruiting bodies to those of , there is a risk of fraud via imported truffles from Asia. In this study, 126 truffle samples belonging to the four mentioned species were investigated by four different NIR instruments, including three miniaturized devices-the Tellspec Enterprise Sensor, the VIAVI solutions MicroNIR 1700 and the Consumer Physics SCiO-working on different technical principles. Three different types of measurement techniques were applied for all instruments (outer shell, rotational device and fruiting body) in order to identify the best results for classification and quality assurance in a non-destructive manner. Results provided differentiation with an accuracy up to 100% for the expensive from . Classification between , , and could also be achieved with success of 100%. In addition, quality monitoring including discrimination between fresh and frozen/thawed, and prediction of the approximate date of harvesting, was performed. Furthermore, feasibility studies according to the geographical origin of the truffle were attempted. The presented work compares the performance for prediction and quality monitoring of portable vs. benchtop NIR devices and applied measurement techniques in order to be able to present a suitable, accurate, fast, non-destructive and reliable method for consumers.

摘要

块菌是最知名、最昂贵的食用蘑菇之一。它们被称为松露,属于块菌属,与植物宿主根系共生。由于其独特的味道和气味,块菌在全球范围内以高达每公斤 3000-5000 欧元的价格出售(PICO)。在黑块菌中, VITTAD. 因其感官特性而备受推崇。尽管如此,仍有许多不同种类的黑块菌以较低的价格出售,包括 VITTAD.、 和 ,它们是最常消费的类型。由于经验不足的消费者无法从外观上区分块菌,因此很可能发生食品欺诈。特别是对于非常珍贵的 ,其形态上与 的子实体非常相似,因此存在通过从亚洲进口的块菌进行欺诈的风险。在这项研究中,对属于上述四种的 126 个块菌样本进行了调查,使用了四种不同的 NIR 仪器,包括三个微型化设备——Tellspec Enterprise Sensor、VIAVI solutions MicroNIR 1700 和 Consumer Physics SCiO——它们基于不同的技术原理工作。为了以非破坏性的方式识别最佳的分类和质量保证结果,所有仪器(外壳、旋转装置和子实体)都应用了三种不同类型的测量技术。结果表明,昂贵的 可以 100%准确地区分。通过成功实现 100%的分类,还可以区分 、 、 和 。此外,还进行了包括新鲜与冷冻/解冻的区分以及收获日期的预测在内的质量监测。此外,还根据块菌的地理来源进行了可行性研究。本工作比较了便携式与台式近红外仪器的预测性能和质量监测性能,以及所应用的测量技术,以便为消费者提供一种合适、准确、快速、无损且可靠的方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/07cc/8838426/bcad40894cca/molecules-27-00589-g001.jpg

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