Internal reflectance cell fluorescence measurement combined with multi-way analysis to detect fluorescence signatures of undiluted honeys and a fusion of fluorescence and NIR to enhance predictability.

Honey is a complex food matrix that contains diverse polyphenolic compounds. Some phenolics exhibit fluorescence signatures which can be used to evaluate honey quality, and authenticity and to determine botanical origin. Manuka honey contains two unique fluorescence markers: Leptosperin (MM1) and LepteridineTM (MM2) that are derived from Leptospermum scoparium nectar. Fluorescence measurement of supersaturated solutions such as undiluted honeys can be challenged by complex inner filter effects. The current study shows the ability of internal reflectance cell fluorescence measurement and multi-way analysis to detect fluorophores in undiluted honeys. This study scanned honeys from different geographic districts generating excitation emission matrices (250-400/300-600 nm), and by near infrared (NIR) hyperspectral camera (547-1701 nm). PARAFAC and tri-PLS could track two fluorescence markers: MM1 (R2 = 0.82 & RMSEP = 138.65) and MM2 (R2 = 0.82 & RMSEP = 2.75) from undiluted honey fluorescence data with > 80 % accuracy. Classification of mono-floral, multi-floral and non-manuka honeys achieved 90 % overall accuracy. Fusion of fluorescence data at ƛex 270 & 330 nm and NIR hyperspectral data combined with multi-block PLS analysis enhances predictability of fluorescence markers further. The study revealed the potential of internal reflectance cell fluorescence measurement combined with chemometrics and data fusion for rapid evaluation of honey quality and botanical origin.

IoTCrawler: Challenges and Solutions for Searching the Internet of Things.

Due to the rapid development of the Internet of Things (IoT) and consequently, the availability of more and more IoT data sources, mechanisms for searching and integrating IoT data sources become essential to leverage all relevant data for improving processes and services. This paper presents the IoT search framework IoTCrawler. The IoTCrawler framework is not only another IoT framework, it is a system of systems which connects existing solutions to offer interoperability and to overcome data fragmentation. In addition to its domain-independent design, IoTCrawler features a layered approach, offering solutions for crawling, indexing and searching IoT data sources, while ensuring privacy and security, adaptivity and reliability. The concept is proven by addressing a list of requirements defined for searching the IoT and an extensive evaluation. In addition, real world use cases showcase the applicability of the framework and provide examples of how it can be instantiated for new scenarios.

New Anchoring Mechanism and Design of an Endoluminal Duodeno-Jejunal Bypass Liner for Treatment of Obesity: a Pilot Animal Trial.

OBJECTIVE: Complications of bleeding, liver abscess and movement have been associated with previous duodeno-jejunal bypass liner (DJBL) applications in the past. A new anchoring system and design of a DJBL is presented as a pilot study. METHOD: A newly designed DJBL device was inserted in 2 pigs and observed over 2 months. RESULTS: The newly designed device was anchored and monitored for 1 month in 1 of 2 pigs, the other being passed early. Effectiveness and safety have been shown. CONCLUSION: The results of this pilot study warrant further investigation of the modified DJBL setup, which may help solve standing issues associated with the clinical use of a DJB liner.