PALM NUT PROCESSING SYSTEM
    1.
    发明申请

    公开(公告)号:WO2023023047A1

    公开(公告)日:2023-02-23

    申请号:PCT/US2022/040454

    申请日:2022-08-16

    申请人: RELEAF INC.

    摘要: A palm nut processing system can include a rinsing conveyor subsystem, a palm nut heating subsystem, a polishing subsystem, a cracker assembly, a pneumatic cyclone, a claybath, and a palm kernel heating subsystem. The palm nut processing system can also include flatbed conveyors, infrared lamps, and bucket elevators. The rinsing conveyor subsystem can remove dirt from palm nuts, the palm nut heating subsystem can remove moisture from wet palm nuts, the polishing subsystem can remove debris from and polish the dry palm nuts, the cracker assembly can crack open the polished palm nuts, the pneumatic cyclone can separate light shells and chaff from the cracked palm nuts, the claybath can separate heavy shells from the palm kernels, and the palm kernel heating subsystem can remove moisture from the palm kernels. Some or all of the components can be automated, including an even distribution of hot air through the heating subsystems.

    FOOD ANTIGEN TESTING
    2.
    发明申请

    公开(公告)号:WO2022271900A1

    公开(公告)日:2022-12-29

    申请号:PCT/US2022/034642

    申请日:2022-06-23

    申请人: IGGENIX, INC.

    摘要: The invention provides methods of testing food for antigens that are more stable to food processing than more clinically problematic allergens from the same food. When clinically- significant allergens are disproportionately broken down by common preparation methods, the presence of certain food ingredients may be "masked" to some tests yet may still be allergenic. To prevent false negative results due to food preparation, the invention provides tests that test for specific food antigens that are selected on the basis of their stability under processing. Antigens are selected for inclusion in the test not because they are the most clinically relevant allergens, but rather because they are robust to processing (e.g., and do not denature during cooking). Tests of the invention may also test for the most clinically relevant allergens, but importantly, by testing for stable protein products/ antigens, the tests report the presence of food residues even after commercial processing.

    食品中のタンパク質の抽出用試薬および抽出方法

    公开(公告)号:WO2022210004A1

    公开(公告)日:2022-10-06

    申请号:PCT/JP2022/012492

    申请日:2022-03-18

    摘要: 本発明は、安全性、迅速性、信頼性などの問題を解決できる、食品中のタンパク質を抽出するための改善された手段を提供する。本発明の抽出用試薬は、還元剤および界面活性剤を含む、食品中のタンパク質の抽出用試薬であって、前記還元剤はメルカプトアルカノールおよび/または亜硫酸塩であり、前記界面活性剤はアルキル硫酸塩であり、30分以上8時間以下の、振盪法による処理用である。本発明の検査用キットは、当該抽出用試薬と、標的タンパク質を免疫学的測定法により定量的または定性的に検出するための、標的タンパク質に対して特異的な抗体とを含む。

    METHOD FOR DETERMINING THE ORIGIN OF HONEY
    4.
    发明申请

    公开(公告)号:WO2022146342A2

    公开(公告)日:2022-07-07

    申请号:PCT/TR2021/051402

    申请日:2021-12-14

    IPC分类号: G01N30/00 G01N33/02

    摘要: The invention relates to an experimental method developed for determining the geographical origin of wildflower honey produced in different regions of countries, which is named according to the region. The origin determination method, subject to the invention, comprises the steps of performing HMF (Hydroxymethyl fulfural), free acidity, electrical conductivity, diastase number, moisture, sugar, color, pollen, and amino acid analysis for honey, evaluating in line with the results of this analysis and determining the origin of honey in order to fulfill this.

    식품의 신선도를 식별하기 위한 전자 장치, 방법 및 비일시적 저장 매체

    公开(公告)号:WO2022035143A1

    公开(公告)日:2022-02-17

    申请号:PCT/KR2021/010429

    申请日:2021-08-06

    IPC分类号: F25D29/00 G01N33/02

    摘要: 본 문서는 전자 장치 및 전자 장치에서의 동작 방법에 관한 것으로서, 일 실시 예에 따르면, 전자 장치는, 적어도 하나의 센서를 포함하는 센서 모듈, 메모리 및 상기 센서 모듈 및 상기 메모리와 연결되는 적어도 하나의 프로세서를 포함하며, 상기 프로세서는, 지정된 기준 정보를 획득하고, 상기 적어도 하나의 센서의 복수의 측정 조건들을 설정하고, 상기 복수의 측정 조건들을 기반하여 상기 적어도 하나의 센서로부터 보관 식품들의 식품 측정 정보를 획득하고, 상기 식품 측정 정보 및 상기 지정된 기준 정보를 기반하여, 상기 보관 식품들 중 대상 식품을 식별하고 상기 대상 식품의 신선도 관련 정보를 획득하고, 상기 획득한 신선도 관련 정보를 기반하여 상기 대상 식품의 신선도를 식별하도록 구성될 수 있다. 다른 실시예도 가능하다.

    浸透度推定装置及び浸透度推定方法

    公开(公告)号:WO2021235555A1

    公开(公告)日:2021-11-25

    申请号:PCT/JP2021/019475

    申请日:2021-05-21

    摘要: 浸透度推定装置10は、浸漬物3を浸漬している浸漬液2に溶出している浸漬物3の成分濃度を測定するセンサ4に接続可能に構成されるインタフェース30と、インタフェース30から成分濃度を取得し、成分濃度の測定結果に基づいて浸漬物3に対する浸漬液2の浸透度を推定する制御部20とを備える。

    ELECTRICAL SENSING OF GASES IN PACKAGED PRODUCTS AND MONITORING FRESHNESS OR CONDITION OF PERISHABLE PRODUCTS

    公开(公告)号:WO2021224630A1

    公开(公告)日:2021-11-11

    申请号:PCT/GB2021/051100

    申请日:2021-05-06

    申请人: BLAKBEAR LTD

    IPC分类号: G01N27/12 G01N27/22 G01N33/02

    摘要: There is provided a perishable goods monitoring system for monitoring the freshness or condition of a perishable product encapsulated within a package, the system comprising a sensor device, a wireless communication reader device and a processing module, said sensor device comprising a fibrous hydrophilic material based electrical sensor and a wireless communication tag chip coupled thereto and being configured to be incorporated in or on a said package, said wireless communication reader device being configured for wireless communication with said wireless communication tag by means of wireless communication technology when said reader device is within a predetermined distance of said tag, and said processing module being configured to receive sensor data from said sensor, via said reader device, correlate said sensor data against a stored calibration data set associated with said perishable product and determine thereby data representative of freshness of said perishable product.

    SYSTEM AND METHOD FOR IDENTIFYING FRUIT SHELF LIFE

    公开(公告)号:WO2021205468A1

    公开(公告)日:2021-10-14

    申请号:PCT/IN2021/050302

    申请日:2021-03-23

    摘要: The present invention relates to a method for identifying fruit shelf life automatically based on thermal imaging. Identifying every day the pattern of change in temperature of fruit's thermal image, we can predict the shelf life of fruit which is how many days the fruit will remain edible in an accurate manner without destructing the fruit. In this system, thermal dataset is created comprising of samples of thermal images (206) of fruit taken on every day after harvesting where fruit may be from cold storage or room temperature using thermal imaging device (204). Transfer learning a deep learning technique is applied on this thermal dataset to compute the threshold weights (210) which are then used to classify or predict the fruit shelf life by comparing these pre-trained weights with the features of fruit's thermal image extracted from convolution and poling layer (212) of deep learning model