COMPOSITIONS TO LIMIT OR ELIMINATE PERCEPTION OF RAW MATERIAL MALODOURS IN SOAP BASES

    公开(公告)号:US20230060897A1

    公开(公告)日:2023-03-02

    申请号:US17785804

    申请日:2020-12-03

    申请人: Firmenich SA

    摘要: The present disclosure relates to the field of malodour counteraction. More particularly, it concerns compositions that limit, decrease or eliminate the perception of malodours associated with soaps or soap bases. Such compositions include (i) a malodour antagonist system associated with perfuming ingredients performing as malodour counteractant, and (ii) at least one malodour neutralizing system, in a combination that significantly reduces the perception of malodours associated with soaps or soap bases. Such compositions, their use in combination with delivery systems and their applications in consumer products are objects of the present disclosure.

    Perfume Formulation for Delivery System

    公开(公告)号:US20230040744A1

    公开(公告)日:2023-02-09

    申请号:US17757396

    申请日:2020-12-15

    申请人: FIRMENICH SA

    IPC分类号: C11B9/00 B01J13/14

    摘要: Described herein is a delivery system including a carrier and a perfume formulation, where the perfume formulation includes 0 to 60 wt. % of a hydrophobic solvent, 40 to 100 wt. % of a perfume oil, where the perfume oil has at least two of the following characteristics: at least 35% of perfuming ingredients having a log P above 3, at least 20% of Bulky materials of Groups 1 to 6 and at least 15% of high impact perfume materials having a Log T

    SYSTEM FOR TRAINING AN ENSEMBLE NEURAL NETWORK DEVICE TO ASSESS PREDICTIVE UNCERTAINTY

    公开(公告)号:US20220392583A1

    公开(公告)日:2022-12-08

    申请号:US17835845

    申请日:2022-06-08

    申请人: Firmenich SA

    IPC分类号: G16C20/50 G06N3/04 G16C20/70

    摘要: The system (200) for training an ensemble neural network device configured to execute the steps of: providing (205) a set of exemplar data, comprising at least one set of inputs (220) and at least one set of outputs (225) associated to the set of inputs, to a neural network device comprising an ensemble (230) of neural network devices, configured to provide independent predictions based upon the exemplar data, operating (210) the neural network device based upon the set of exemplar data, obtaining (215) the trained neural network device configured to provide an output, the neural network device further comprising at least two independent activation functions, whereof at least two of the independent activation functions are representative of the statistical distribution of the plurality of independent predictions, the neural network device being configured to provide at least one output (235, 236) for at least two said independent activation functions and the step of operating further comprising a step of operating each neural network device of the ensemble to provide an ensemble of outputs, the neural network device being trained to minimize the value representative of at least two said independent activation functions.

    Cyclic oxy ether compounds as perfuming ingredients

    公开(公告)号:US11479739B2

    公开(公告)日:2022-10-25

    申请号:US17263842

    申请日:2019-10-29

    申请人: FIRMENICH SA

    摘要: Described herein is a method of using cyclic oxy ether compounds of formula in a form of any one of its stereoisomers or a mixture thereof, where the dotted line represents a carbon-carbon single or double bond; p represents 0 to 3; n represents 0 to 2; R represents, independently from each other hydrogen, a C1-C6 alkyl or C2-C6 alkenyl group each optionally substituted by an ester group; and R1 represents, independently from each other, a hydrogen atom or a C1-C3 alkyl group, the method including using the compound of formula (I) as a perfuming ingredient.