The quality of truffles is related to their maturation stage, and good maturation degree is important in order to have a truffle with valuable organoleptic properties. An innovative, rapid and reliable technique to determine the maturation degree of truffles and monitor their post-harvest ageing process is proposed. Near-infrared (NIR) spectroscopy was used for the first time to monitor the post-harvest ripening of white truffles of two different species (Tuber magnatum and T. borchii). Optical microscopy was flanked by NIR spectroscopy imaging to monitor fruiting bodies at different degrees of maturation. The NIR profile of truffles provided statistical differentiation between the biochemical composition of different tissues (vegetative hyphae and ascospores). The optical evaluation of the degree of maturation was correlated to spectral information in order to obtain a non-operator dependent, rapid, simple and cost-effective method to evaluate the degree of maturation of white truffles. Partial least square regression (PLS) was used for multivariate calibration of NIR spectra against maturation degree, and ripening curves were obtained (with correlation coefficients R² = 0.95 for T. magnatum and R² = 0.76 for T. borchii). Moreover, a classification method based on PLS discriminant analysis of truffle in three maturity stages was developed, achieving a total of correct classification rate of 83%.

中文翻译：

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近红外光谱法作为白松露采后监测的新方法

松露的质量与其成熟阶段有关，良好的成熟度对于获得具有有价值的感官特性的松露很重要。提出了一种新颖，快速，可靠的技术来确定松露的成熟度并监测其收获后的老化过程。近红外用（NIR）光谱学在第一次监视后收获两个不同种类（白色松露成熟块茎magnatum和Ť。勃）。光学显微镜侧接NIR光谱成像，以监测不同成熟度的子实体。松露的NIR图谱提供了不同组织（营养菌丝和子囊孢子）的生化成分之间的统计学差异。将成熟度的光学评估与光谱信息相关联，以获得一种非运营商依赖性，快速，简单且经济高效的方法来评估白松露的成熟度。偏最小二乘回归法（PLS）被用于NIR光谱的针对成熟度多元校正，并且获得熟化曲线（使用相关系数- [R ²  = 0.95 Ť。magnatum和- [R ² = T的0.76 。博尔奇（）此外，基于PLS判别分析的三个成熟阶段的松露的分类方法被开发出来，总正确分类率为83％。