Exploring Near-Infrared and Raman Spectroscopies for the Non-Destructive Estimation of Sweetness in Half Watermelons.

Watermelons are in high demand for their juicy texture and sweetness, which is linked to their soluble solids content (SSC). Traditionally, watermelons have been sold as whole fruits. However, the decline in the mean size of households and the very large size of the fruits, together with high prices, mainly at the beginning of the season, mean that supermarkets now sell them as half fruits.

NIR Sensing Technologies for the Detection of Fraud in Nuts and Nut Products: A Review.

Food fraud is a major threat to the integrity of the nut supply chain. Strategies using a wide range of analytical techniques have been developed over the past few years to detect fraud and to assure the quality, safety, and authenticity of nut products. However, most of these techniques present the limitations of being slow and destructive and entailing a high cost per analysis.

Fraud Detection in Batches of Sweet Almonds by Portable Near-Infrared Spectral Devices.

One of the key challenges for the almond industry is how to detect the presence of bitter almonds in commercial batches of sweet almonds. The main aim of this research is to assess the potential of near-infrared spectroscopy (NIRS) by means of using portable instruments in the industry to detect batches of sweet almonds which have been adulterated with bitter almonds. To achieve this, sweet almonds and non-sweet almonds (bitter almonds and mixtures of sweet almonds with different percentages (from 5% to 20%) of bitter almonds) were analysed using a new generation of portable spectrophotometers.

An innovative non-targeted control system based on NIR spectral information for detecting non-compliant batches of sweet almonds.

Nowadays, there is growing awareness about the need to develop new methodologies to fight against deliberate fraud. This study explored the use of near infrared spectroscopy (NIRS) as an instantaneous, non-targeted method for detecting non-compliant products; in this case, when used to detect sweet almond batches adulterated with bitter almonds. For this purpose, we simulated the adulteration of batches by preparing four different types of mixed samples which contained 5%, 10%, 15% and 20% of bitter almonds, respectively, using 90 samples of sweet almonds and 50 samples of bitter almonds.

Routine NIRS analysis methodology to predict quality and safety indexes in spinach plants during their growing season in the field.

Cultural practices and harvesting in spinach plants should be based not only on subjective indexes such as freshness and green colour, which are both related with the visual appearance of the plants, but also on objective indexes that can be quantified non-destructively. The aim of this research was to develop a methodology based on the use of near infrared spectroscopy to monitor routinely the growth process of the spinach plants in the field. Using the MicroNIR™ OnSite-W spectrophotometer, which is ideally suited for in situ analysis, 261 spinach plants were analysed.