The invention discloses a method for the detection of sialate glycosyl casein glycomacropeptide by boronate affinity column enrichment-liquid chromatography-tandem mass spectrometry using phenylboric acid modified mesoporous silica as packing material, which belongs to the field of food analysis and detection. The method includes the following steps: (1) sample preparation; (2) enrichment and purification of boronate affinity column; (3) liquid chromatography-tandem mass spectrometry detection. The invention makes use of the affinity property of phenylboric acid to the special sugar group sialic acid on the serine and threonine residues in casein glycogiant peptide, regulates the adsorption and elution of casein glycogiant peptide with sialic acid group by changing pH. Combined with the high sensitivity and accuracy of liquid chromatography tandem mass spectrometry, it can be used for qualitative and quantitative analysis of casein glycomacropeptide with sialate glycol-group in phenylketonuria special medical formulations with complex matrix.

A pistachio sorting device capable of accurately detecting BGY fluorescence emitted from a fluorescent material adhered to a shell of an in-shell pistachio to perform pass/fail determination and sort out defective products at high speed is provided. The pistachio sorting device comprises a lighting device 11 for irradiating in-shell pistachios which are objects to be sorted in an inspection region with ultraviolet light having a maximum peak wavelength within a range of 345 nm to 390 nm, an optical filter 12 for selectively transmitting light within a wavelength range of 500 nm to 600 nm, a sensor 13 for detecting a two-dimensional intensity distribution of the fluorescence transmitted through the optical filter 12 to generate two-dimensional image data indicating a two-dimensional intensity distribution of fluorescence in the inspection region, and a determining device for determining a pass/fail of for each object to be sorted 10 based on the two-dimensional image data.

A pistachio sorting device capable of accurately detecting BGY fluorescence emitted from a fluorescent material adhered to a shell of an in-shell pistachio to perform pass/fail determination and sort out defective products at high speed is provided. The pistachio sorting device comprises a lighting device 11 for irradiating in-shell pistachios which are objects to be sorted in an inspection region with ultraviolet light having a maximum peak wavelength within a range of 345 nm to 390 nm, an optical filter 12 for selectively transmitting light within a wavelength range of 500 nm to 600 nm, a sensor 13 for detecting a two-dimensional intensity distribution of the fluorescence transmitted through the optical filter 12 to generate two-dimensional image data indicating a two-dimensional intensity distribution of fluorescence in the inspection region, and a determining device for determining a pass/fail of for each object to be sorted 10 based on the two-dimensional image data.

A robotic harvesting platform system for harvesting or diluting fruits in an orchard, the system comprising: a support frame, an elongated platform attached to said support frame, two or more robotic harvesting units associated with said elongated platform at different points thereon, one or more fruit detection units for identifying location and position of said fruits, wherein: said robotic harvesting platform system is designed to harvest fruits from a tree(s) at different heights simultaneously; and each robotic harvesting unit is designed to operate independently from the other robotic harvesting units.

Methods of determining whether a toxicant is present in a consumable product, which comprise contacting a teleost embryo with an extract from a sample of the consumable product and determining whether the extract exerts a toxicity effect on the embryo.

Methods of determining whether a toxicant is present in a consumable product, which comprise contacting a teleost embryo with an extract from a sample of the consumable product and determining whether the extract exerts a toxicity effect on the embryo.

A nanoscale sensor, and method to manufacture the sensor. The sensor is designed to measure the change in free carriers from analyte detection by measuring current with an applied bias across the nano-wire(s) in a tested aqueous solution. The measured current is compared to known calibrated concentrations of the tested characteristic bacterium, virus, chemical, gas, or some combination thereof and a value for the tested aqueous solution. Temperature, pH and salinity measuring circuits are included to enable environmental correction.

An automated food waste processing system including an enclosure secured to prevent unauthorized access to contents contained therein, the enclosure including a plurality of exterior walls and a food waste processing system housed within the enclosure. The food waste processing system including an imaging system configured to capture a plurality of images of the food waste and the non-biodegradable material received by the sorting receptacle, a processing system configured to process the plurality of images using a trained neural network to identify at least plastic waste and metal waste as the non-biodegradable material when included in the food waste input stream as received by the sorting receptacle, and a sorting system configured to, in response to instructions received from the processing system, automatically locate and remove the non-biodegradable material from the sorting receptacle to create a bio-degradable input stream to the anaerobic digester.

A sample is added to a chamber (12) in which magnetic particles (P) are provided. The sample includes a target component (T) and the chamber (12) has a detection surface (122). A magnetic force is exerted on the magnetic particles (P) to attract the magnetic particles (P) to the detection surface (122). The bound magnetic particles that captured the target component (T) in the magnetic particles (P) and the unbound magnetic particles that captured no target component (T) in the magnetic particles (P) are held at the detection surface (122). At least part of the sample is drained out of the chamber (12) and a new sample added to the chamber (12). The magnetic force exerted on the magnetic particles (P) is altered to release the unbound magnetic particles from the detection surface (122). An amount of the bound magnetic particles that are held at the detection surface (122) are measured. The target component (T) is preconcentrated by repeating the steps of magnetically binding the target component (T) from the newly added sample and washing the detection surface (122) from unbound magnetic particles.

A sample is added to a chamber (12) in which magnetic particles (P) are provided. The sample includes a target component (T) and the chamber (12) has a detection surface (122). A magnetic force is exerted on the magnetic particles (P) to attract the magnetic particles (P) to the detection surface (122). The bound magnetic particles that captured the target component (T) in the magnetic particles (P) and the unbound magnetic particles that captured no target component (T) in the magnetic particles (P) are held at the detection surface (122). At least part of the sample is drained out of the chamber (12) and a new sample added to the chamber (12). The magnetic force exerted on the magnetic particles (P) is altered to release the unbound magnetic particles from the detection surface (122). An amount of the bound magnetic particles that are held at the detection surface (122) are measured. The target component (T) is preconcentrated by repeating the steps of magnetically binding the target component (T) from the newly added sample and washing the detection surface (122) from unbound magnetic particles.