Search

The quality and authenticity of milk are of paramount importance. Cow milk is more allergenic and less nutritious than ewe, goat, or donkey milk, which are often adulterated with cow milk due to their seasonal availability and higher prices. In this work, a silicon photonic dipstick sensor accommodating two U-shaped Mach–Zehnder Interferometers (MZIs) was employed for the label-free detection of the adulteration of ewe, goat, and donkey milk with cow milk. One of the two MZIs of the chip was modified with bovine κ-casein, while the other was modified with bovine serum albumin to serve as a blank. All assay steps were performed by immersion of the chip side where the MZIs are positioned into the reagent solutions, leading to a photonic dipstick immunosensor. Thus, the chip was first immersed in a mixture of milk with anti-bovine κ-casein antibody and then in a secondary antibody solution for signal enhancement. A limit of detection of 0.05% v/v cow milk in ewe, goat, or donkey milk was achieved in 12 min using a 50-times diluted sample. This fast, sensitive, and simple assay, without the need for sample pre-processing, microfluidics, or pumps, makes the developed sensor ideal for the detection of milk adulteration at the point of need.

Aflatoxin M1 (AFM1) is the hydroxylated form of Aflatoxin B1 (AFB1) and is expelled in the milk of both humans and animals following the consumption of AFB1-contaminated food. AFM1 has been categorized as a Group 1 carcinogen by the International Agency for Research on Cancer. Consequently, the European Commission has established a maximum allowable concentration of 50 pg/mL for AFM1 in dairy products and milk. Here, a rapid and sensitive approach for detecting AFM1 in bovine milk is presented. The analytical setup comprises a broad-band white LED, a spectrophotometer, and a silicon photonic probe, all interconnected by a bifurcated optical fiber [1]. Additionally, a laptop powers the system and facilitates signal monitoring through specialized software. The silicon photonic probe is equipped with two Mach–Zehnder interferometers: one functionalized with AFM1-bovine serum albumin conjugate, and the other with bovine serum albumin to serve as a blank. The analysis involves immersing the probe directly into a mixture of anti-AFM1 antibodies and the sample, followed by sequential immersion into biotinylated anti-rabbit IgG antibody and streptavidin solutions. The entire assay process takes 12 min, and the limit of detection in undiluted milk is 20 pg/mL, below the EU maximum allowable limit of 50 pg/mL. The assay demonstrates accuracy, with %recovery values ranging from 87.5 to 112%, and repeatability, with intra/inter-assay coefficients of variation below 7.6%. Given its analytical performance and compact instrumentation, the proposed immunosensor proves to be an ideal solution for precise on-site determination of AFM1 in milk samples.

Cow milk is more allergenic than milk from other species, and therefore the adulteration of ewe or goat milk with cow milk can pose a serious threat to consumers. In this work, a silicon-based photonic immunosensor, which includes two U-shaped Mach–Zehnder Interferometers (MZIs), was employed for the detection of ewe and goat milk adulteration with cow milk through the immunochemical determination of the milk. The method was fast and sensitive with a detection limit of 0.04 μg/mL bovine k-casein (which corresponds to approximately 0.06% cow milk) in ewe or goat milk, respectively, and with a total assay time of 12 min.

Microgreens have gained attention for their exceptional culinary characteristics and high nutritional value. The present study focused on a novel approach for investigating the easy extraction of plant samples and the utilization of immersible silicon photonic sensors to determine, on the spot, the nutrient content of microgreens and their optimum time of harvest. For the first time, it was examined how these novel sensors can capture time-shifting spectra caused by the molecules’ dynamic adhesion onto the sensor surface. The experiment involved four types of microgreens (three types of basil and broccoli) grown in a do-it-yourself hydroponic installation. The sensors successfully distinguished between different plant types, showcasing their discriminative capabilities. To determine the optimum harvest time, this study compared the sensor data with results obtained through standard analytical methods. Specifically, the total phenolic content and antioxidant activity of two basil varieties were juxtaposed with the sensor data, and this study concluded that the ideal harvest time for basil microgreens was 14 days after planting. This finding highlights the potential of the immersible silicon photonic sensors for potentially replacing time-consuming analytical techniques. By concentrating on obtaining plant extracts, capturing time-shifting spectra, and assessing sensor reusability, this research paves the way for future advancements in urban farming.

Aflatoxin M1 (AFM1) is detected in the milk of animals after ingestion of aflatoxin B1-contaminated food; since 2002, it has been categorized as a group I carcinogen. In this work, a silicon-based optoelectronic immunosensor for the detection of AFM1 in milk, chocolate milk, and yogurt has been developed. The immunosensor consists of ten Mach–Zehnder silicon nitride waveguide interferometers (MZIs) integrated on the same chip with the respective light sources, and an external spectrophotometer for transmission spectra collection. The sensing arm windows of MZIs are bio-functionalized after chip activation with aminosilane by spotting an AFM1 conjugate with bovine serum albumin. For AFM1 detection, a three-step competitive immunoassay is employed, including the primary reaction with a rabbit polyclonal anti-AFM1 antibody, followed by biotinylated donkey polyclonal anti-rabbit IgG antibody and streptavidin. The assay duration was 15 min with limits of detection of 0.005 ng/mL in both full-fat and chocolate milk, and 0.01 ng/mL in yogurt, which are lower than the maximum allowable concentration of 0.05 ng/mL set by the European Union. The assay is accurate (% recovery values 86.7–115) and repeatable (inter- and intra-assay variation coefficients

The consumption of water and milk contaminated with bacteria can lead to foodborne disease outbreaks. For this reason, the development of rapid and sensitive analytical methods for bacteria detection is of primary importance for public health protection. Here, a miniaturized immunosensor based on broadband Mach–Zehnder Interferometry for the simultaneous determination of S. typhimurium and E. coli O157:H7 in drinking water and milk is presented. For the assay, mixtures of bacteria solutions with anti-bacteria-specific antibodies were run over the chip, followed by solutions of biotinylated anti-species-specific antibody and streptavidin. The assay was fast (10 min for water, 15 min for milk), accurate, sensitive (LOD: 40 cfu/mL for S. typhimurium; 110 cfu/mL for E. coli) and reproducible. The analytical characteristics achieved combined with the small chip size make the proposed biosensor suitable for on-site bacteria determination in drinking water and milk samples.

The development of a sensing platform based on white light reflectance spectroscopy (WLRS) is presented. The evolution of the system, from polymer film characterization and sensing of volatile organic compounds to biosensor for the label-free determination of either high (e.g., proteins) or low molecular weight analytes (e.g., pesticides), is described. At the same time, the passage from single to multi-analyte determinations, and from a laboratory prototype set-up to a compact device appropriate for on-site determination, is outlined. The improvements made on both the sensor and the optical set-up, and the concomitant advances in the analytical characteristics and the robustness of the assays performed with the different layouts, are also presented. Finally, the future perspectives of the system, aiming for the creation of a standalone instrument to be used by non-experts, will be discussed.

A monolithic photonic microcantilever device is presented comprising silicon light sources and detectors self-aligned to suspended silicon nitride waveguides all integrated into the same silicon chip. A silicon nitride waveguide optically links a silicon light emitting diode to a detector. Then, the optocoupler releases a localized formation of resist-silicon nitride cantilevers through e-beam lithography, dry etching and precisely controlled wet etching through a special microfluidic set-up. Fine micro-optical sensing functions are performed without the need for any off-chip optics. As the bimaterial microcantilevers are deflected by the stressed polymer film, the disrupted waveguide acts like a photonic switch. Cantilever deflections in the order of 1 caused by thickness variations in the order of 0.005 are detectable following changes in the physicochemical factors affecting the polymer film thickness. Such factors include the sorption of volatile compounds and through a proper set-up the response to certain vapor concentrations is monitored in real time. [ABSTRACT FROM AUTHOR]